# isscholar.com

> A Nexus of Information Systems Insights


## Posts

- [Endogeneity Explained: Understanding the Hidden Threat to Your Regression Results](https://isscholar.com/endogeneity-explained-understanding-the-hidden-threat-to-your-regression-results/): A complete guide to spotting, diagnosing, and fixing the most serious problem in regression analysis Introduction: The Problem You Don’t See Coming Slide link: https://docs.google.com/presentation/d/1Fu5Ojg_A_i6Vw4YTYtRWQ1K1Bv1I-zwe/edit?usp=sharing&ouid=107834574622602070583&rtpof=true&sd=true Not so fast. What if I told you that your analysis might be completely wrong? Not because of a calculation error or a coding mistake, but because of something far more insidious: endogeneity. Endogeneity is the hidden threat that can completely ruin your regression results without you even knowing it. It’s one of the most important—and most commonly misunderstood—concepts in econometrics and statistical analysis. If you’re studying Information Systems, business analytics, economics, or any field […]
- [Instrumental Variables Explained: The Complete Guide to Solving Endogeneity](https://isscholar.com/instrumental-variables-explained-the-complete-guide-to-solving-endogeneity/): LInk to slide: https://docs.google.com/presentation/d/1M6Zd3pIc__uOv1w6905GaH0Ogp4LIXec/edit?usp=sharing&ouid=107834574622602070583&rtpof=true&sd=true If you’ve struggled with endogeneity in your regression analysis, you know the frustration. Your X variable is correlated with the error term, giving you biased, unreliable results. You can’t trust your coefficients. Your conclusions are questionable. The ideal solution? Run a randomized experiment—like an A/B test—where you randomly assign who gets treatment. Random assignment eliminates endogeneity. But here’s reality: You can’t always run experiments. Sometimes you’re analyzing historical data. Sometimes experiments are too expensive. Sometimes they’re simply not ethical or practical. So what do you do? Enter Instrumental Variables (IV)—the solution to endogeneity when you’re working […]
- [Design Science Doctoral Certification (VHB ProDok)](https://isscholar.com/design-science-doctoral-certification-vhb-prodok/): I received this VHB ProDok certificate as a record of my successful completion of a doctoral-level course in Design Science. I took the course online from November 24 to December 5, 2025, as a PhD student at the University of Arkansas. The course was taught by Professors Daniel Beverungen, Matthias Söllner, and Jan vom Brocke, and my performance was assessed through a reading assignment presentation, a design project, and active class participation. Completing this course earned me 6 ECTS credits and contributed to my doctoral training in business and information systems.
- [ICIS Volunteer Certificate](https://isscholar.com/icis-volunteer-certificate/): The International Conference on Information Systems (ICIS) is widely regarded as the most prestigious gathering of academics and research-oriented practitioners in the information systems field. In December 2025, the conference traveled to the vibrant heart of Nashville, Tennessee, under the theme “Achieving Digital Integration in the Age of AI.” While the spotlight often shines on keynote speakers and breakthrough research papers, the engine of the conference is powered by a select group of dedicated volunteers. Among those recognized for their service was Chinonso Francis Anyaehie, a doctoral student from the University of Arkansas, Fayetteville.
- [The Great Unmasking: How AI is Dismantling the "Credential Factory"](https://isscholar.com/the-great-unmasking-how-ai-is-dismantling-the-credential-factory/): The prevailing narrative in academia right now, often echoed in alarmist think-pieces, is that Artificial Intelligence is an existential threat to the university. The argument suggests that tools like ChatGPT are barbaric invaders at the gates of the ivory tower, tearing down the sanctity of learning. This perspective is fundamentally flawed. AI is not an invading army; it is a building inspector. And upon entering the institution, it has condemned the foundation. The crisis we are witnessing wasn’t caused by Large Language Models (LLMs). The crisis was caused by decades of turning higher education into a transactional “Credential Factory.” AI […]
- [Science and Commerce in Quantum Computing: Reflections from an ICIS 2025 Best Paper Nominee](https://isscholar.com/science-and-commerce-in-quantum-computing-reflections-from-an-icis-2025-best-paper-nominee/): At ICIS 2025 (International Conference on Information Systems), I had the privilege of presenting our paper,“Science and Commerce in Quantum Computing: Toward an Oscillatory Theory of Ecosystem Emergence,”which was honored with the Best Paper Award. This work was co-authored with Shaila M. Miranda and Naif Almutawa, both from the University of Arkansas. Receiving the Best Paper Award was not only a significant milestone for us as a team, but also a strong signal that the Information Systems community is ready to engage deeply with quantum computing as a core socio-technical phenomenon. This article reflects on the motivation behind the study, […]
- [ICIS 2025 and the Whole Shebang: Presence, People, and Purpose in Information Systems](https://isscholar.com/icis-2025-and-the-whole-shebang-presence-people-and-purpose-in-information-systems/): A personal journey through community, scholarship, and intentional visibility in Information Systems Introduction: Why ICIS Matters Beyond the Conference Program For many scholars, conferences are measured by sessions attended, papers presented, or panels chaired. But ICIS, the International Conference on Information Systems, has always been more than a schedule of talks for me. ICIS is a living ecosystem. It is where ideas collide, careers quietly pivot, friendships form, and futures take shape in hallways, lobbies, and unscripted conversations. ICIS 2025 reinforced something I have come to deeply believe: the field advances not only through research outputs, but through people who […]
- [Design Science Research Genres](https://isscholar.com/design-science-research-genres-a-practical-breakdown-of-focus-goals-and-exemplars/): In order to understand the design science research paradigm you first have to have a thorough understanding of the different genres that exist in this area as many researchers do not know what type of solution they are going to provide when writing their papers in this space. Therefore, the ability to clearly state your contribution and how it differs from other work should be the first hurdle you have to overcome. In the editorial “Diversity of Design Science Research,” there are four genres of Design Science Research identified; each entry contains the focus, activities, goals, and an example of […]
- [I applied Tuunanen’s Design Echelons to the AI-driven patient communication project, and the results were compelling. ](https://isscholar.com/i-applied-tuunanens-design-echelons-to-the-ai-driven-patient-communication-project-and-the-results-were-compelling/): This example applies the eDSR methodology to a complex sociotechnical project: creating a “Compassionate AI” system for healthcare. Use Case: The “Compassionate AI” Patient Support System Imagine I’m developing a Generative AI system designed to communicate with patients in distress. The Challenge: The problem is complex because it involves technical hurdles (LLM hallucinations), social factors (patient anxiety, cultural nuances), and regulatory constraints. A simple linear process might fail if the definition of “compassion” isn’t validated before the code is written. Here is how I would break this project down using the five design echelons. 1. Problem Analysis Echelon Goal: A […]
- [My Experience in the VHB ProDok Design Science Course](https://isscholar.com/my-experience-in-the-vhb-prodok-design-science-course/): A Five-Day Immersion into Rigorous Design Research, Collaboration, and Innovation The VHB ProDok Design Science Research (DSR) course is one of the most intensive and rewarding doctoral training programs in Europe, and this year I had the privilege of being part of it. Over the span of five days—supported by pre-course work and multiple group iterations—the program offered a deep, structured exploration of how to design, justify, and present rigorous design research. A Structured Learning Journey Before the course even began, participants completed several preparation tasks, including reading foundational DSR papers, choosing a research article to present, and preparing early […]
- [Reflecting on Our "Best Paper" Nomination at ICIS 2025](https://isscholar.com/reflecting-on-our-best-paper-nomination-at-icis-2025/): I am thrilled to share a significant milestone: a research paper I co-authored has been selected as a Best Paper Nominee at the International Conference on Information Systems (ICIS 2025) in Nashville. Academic research is a process of rigorous scrutiny. Out of hundreds of submissions, only a handful survive the review process to reach the nomination stage. While I am grateful for the distinction, I want to look past the accolade and reflect on the research itself, why we wrote it, the problem it solves, and what this moment signifies for my journey as a scholar. The Problem We Tackled […]
- [The Blueprint of Discovery: Deconstructing the Scientific Paper](https://isscholar.com/the-blueprint-of-discovery-deconstructing-the-scientific-paper/): Writing a scientific paper is arguably one of the most challenging aspects of research. You have spent months, perhaps years, gathering data, agonizing over experiments, and analyzing results. Now, you face the daunting task of translating that immense effort into a coherent, compelling narrative that fits the rigid constraints of academic publishing. Many researchers suffer from “blank page syndrome,” unsure of where to start or how to organize their thoughts. Fortunately, scientific communication follows a time-tested structure. The diagram provided (adapted from Sterk & Rabe, 2008) offers more than just a checklist; it is a strategic blueprint for constructing a […]
- [The PhD Leverage Effect: How to Build an Academic Brand That Outlasts Your Degree](https://isscholar.com/the-phd-leverage-effect-how-to-build-an-academic-brand-that-outlasts-your-degree/): Every single day in my PhD program, one thought returns like a drumbeat: What opportunity can I leverage today? Most people enter a PhD thinking it’s a linear path: coursework ==> comprehensive exams ==> dissertation ==> graduation. They view it as a period of isolation and survival. But this is a fundamental misunderstanding of the landscape. A PhD is not a tunnel; it is a platform. It is a heavily subsidized, resource-rich runway filled with leverage points that, if ignored, result in a massive opportunity cost. Here is how to stop acting like a student and start operating like an […]
- [Credentialing in the AI Age: Evidence is the Only Currency](https://isscholar.com/credentialing-in-the-ai-age-evidence-is-the-only-currency/): I look back sometimes and think, I wish I took pictures at that conference. I wish I enrolled in that course and wrote about it while the experience was fresh. I wish I documented the moments, the ideas, the people, the growth. I wish I was intentional about writing my story during my PhD program – these and more will be your regrets The truth is harsh: memories fade, timestamps disappear, and opportunities move on, often favoring the visible. In today’s hyper-connected world, where AI can fabricate a polished résumé or a generic cover letter in seconds, your real, undeniable […]
- [How I Rose From Obscure Developer to One of Web3’s Most Influential Educators.](https://isscholar.com/how-i-rose-from-obscure-developer-to-one-of-web3s-most-influential-educators-my-journey-of-curiosity-courage-reinvention/): In 2021, my life changed in a way I didn’t expect. I joined Developer DAO, a global community of developers exploring the future of Web3. I didn’t join as an expert. I didn’t have the loudest voice or the strongest credentials. I walked in quietly, carrying nothing but curiosity, discipline, and the belief that technology can empower anyone — no matter where they come from. I had no idea that within a few months, I would become one of the DAO’s most impactful contributors……or that my writing would educate thousands of people around the world……or that my work would win […]
- [Organizing for AI Innovation: An MISQ Insider Interview with Lin & Maruping](https://isscholar.com/organizing-for-ai-innovation-an-misq-insider-interview-with-lin-maruping/): The Paper  Lin, Y. K., & Maruping, L. M. (2025). Organizing for AI Innovation: Insights From an Empirical Exploration of US Patents. MIS Quarterly, 49(3), 1095-1122.  Our official headshots are available on our college website:  Authors (Interviewees)   Yu-Kai Lin, Georgia State University Likoebe M. Maruping, Georgia State University Contributors (Interviewers)  Mathilda Oladimeji: PhD Student, Louisiana State University Email: ooladi2@lsu.edu  Chinonso Anyaehie: PhD Student, University of Arkansas, Email: canyaehie@walton.uark.edu Interview Date: November 5th, 2025   Interview Opening Script (with Co-Coordinator Introduction)   Chinonso:   Thank you so much for taking the time to speak with us today, your article is a timely and important […]
- [From Entrepreneur to Researcher: Why My 2015 Lessons Still Matter Today](https://isscholar.com/from-entrepreneur-to-researcher-why-my-2015-lessons-still-matter-today/): The year was 2015. I was standing on a stage, accepting the award for “Young Entrepreneur of the Year.” I had just launched Branded.ng, a project that pulled me—sometimes gently, sometimes forcefully—into the complex world of personal branding. Back then, I didn’t fully grasp the magnitude of what I was building. I simply understood a fundamental truth: talent alone is rarely enough. People needed clarity, they needed positioning, and most of all, they needed visibility. If the market couldn’t find you or understand you, your value remained potential, not actual. My mission was to help people show up, be seen, […]
- [The Portfolio Requirement: How to Survive the AI Era as a Researcher](https://isscholar.com/the-portfolio-requirement-how-to-survive-the-ai-era-as-a-researcher/): My mother used to say something profound: “Anything one wakes up to is their morning.” It doesn’t matter if the sun has already set. It doesn’t matter what the clock on the wall says. Your “morning” begins the precise moment you finally recognize what you have been sleeping on. So, let me be direct, because kindness sometimes requires bluntness: If you do not have an active academic blog or digital portfolio, you are still sleeping. Please—wake up. The Era of “Smart” Is Over We are no longer operating in an era where being intelligent is enough. We are no longer […]
- [Why Personal Branding Gives You Negotiating Power: The Hidden Advantage Most Professionals Ignore](https://isscholar.com/why-personal-branding-gives-you-negotiating-power-the-hidden-advantage-most-professionals-ignore/): In today’s professional landscape—whether in business, technology, or academia—personal branding is no longer optional. It is one of the most powerful career assets you can build. The surprising truth is this: When a company, institution, or collaborator reaches out to you first because they already know your work, you immediately gain more negotiating power than any job application ever will. This single shift—from chasing opportunities to attracting them—is what separates people who constantly face rejection from those who command respect, influence, and leverage. Let’s unpack why. 1. When They Come to You, You Hold the Upper Hand If a company […]
- [Before You Start Anything New, Ask Yourself One Question: Can You Sustain It?](https://isscholar.com/before-you-start-anything-new-ask-yourself-one-question-can-you-sustain-it/): It’s easy to get excited about a new idea. A podcast. A YouTube channel. A startup. A community. That rush of inspiration makes you want to jump in immediately and start building. But here is the truth most people avoid: If you don’t have the infrastructure to sustain it consistently until you succeed and beyond, please don’t start it. I’ve seen it over and over again. People launch a big idea with incredible energy, only to burn out in a few weeks because they didn’t think about what happens after the excitement fades. Consistency, not enthusiasm, is what keeps a […]
- [The PhD Paradox: Why the Degree is the Minimum and Your Brand is the Asset](https://isscholar.com/the-phd-paradox-why-the-degree-is-the-minimum-and-your-brand-is-the-asset/): Most people think the purpose of a PhD is to graduate. They view the doctorate as a finish line a grueling marathon that ends when you are handed a diploma. If that is your only goal, you are missing the greatest opportunity of your professional life. A PhD is not just a credential you earn; it is a platform you build. It is a rare window of time where you possess access to mentorship, global networks, funding, intellectual freedom, and institutional credibility that you may never have again. The degree is the minimum requirement. The real value lies in the […]
- [Life is a Simulation, and Demis Hassabis Has the Cheat Codes](https://isscholar.com/life-is-a-simulation-and-demis-hassabis-has-the-cheat-codes/): Is our reality a computer simulation? It is a question popularized by philosopher Nick Bostrom, often relegated to late-night dormitory debates and science fiction. But recently, the hypothesis received a playful but pointed endorsement from an unexpected source: a long-time collaborator of DeepMind co-founder Demis Hassabis. In a recent post, Kohli, an insider with a front-row seat to DeepMind’s evolution, suggested that he is pivoting toward believing in the simulation hypothesis. His reasoning? The eerie, almost prescient precision of Hassabis’s predictions over the last decade. Kohli quipped that Hassabis’s track record suggests he possesses the “cheat codes” to the universe, […]
- [The AI Arms Race is Over: Why We Must Flip the Classroom to Save Education](https://isscholar.com/the-ai-arms-race-is-over-why-we-must-flip-the-classroom-to-save-education/): By Chinonso Anyaehie We are currently wasting valuable energy fighting the wrong battle. Since the public release of ChatGPT, educational institutions have scrambled to find a technical solution to a pedagogical problem. We have poured resources into “AI detectors,” updated honor codes, and threatened students with academic probation. But the reality is simple, if uncomfortable: You cannot reliably detect AI in homework. Period. The current crop of detection tools provides a false sense of security.1 They are easily bypassed by simple prompting techniques, and worse, they are prone to false positives—often flagging the rigid grammar of non-native English speakers as […]
- [I Just Earned My Gemini Certified Educator Credential](https://isscholar.com/i-just-earned-my-gemini-certified-educator-credential/): Today, I reached an exciting milestone in my journey as an educator and researcher. I officially earned the Gemini Certified Educator qualification from Google for Education. This certification recognizes educators who have demonstrated the skills, knowledge, and practical competencies needed to use Google’s Gemini AI effectively in teaching and learning. It represents a commitment to modern, innovative education and a belief that AI can empower instructors and students in meaningful ways. For me, this achievement reflects my dedication to helping educators integrate AI responsibly, creatively, and confidently into their work. Announcing My New YouTube Series: Teach With Gemini I am […]
- [How Design Science Researchers Consume and Produce Knowledge: Understanding Q Knowledge and A Knowledge](https://isscholar.com/how-design-science-researchers-consume-and-produce-knowledge-understanding-q-knowledge-and-a-knowledge/): Design Science Research (DSR) is not just about building new artifacts. At its core, it is a disciplined way of using knowledge and creating new knowledge. To understand how DSR actually advances the Information Systems field, we need to examine how researchers draw from existing knowledge, apply it, and produce additional insights. This section breaks down the two major types of knowledge used in DSR—descriptive knowledge and prescriptive knowledge—and shows how they interact throughout a design research project. 1. Two Types of Knowledge Every DSR Researcher Uses Drawing from the economics of knowledge (Mokyr, 2002), useful knowledge in DSR can […]
- [What Does It Mean to Contribute Knowledge in Design Science Research?](https://isscholar.com/what-does-it-mean-to-contribute-knowledge-in-design-science-research/): One of the most persistent challenges in Design Science Research (DSR) is demonstrating a meaningful contribution to knowledge. Researchers often build impressive artifacts, solve real problems, and produce useful innovations, yet still face the question from editors and reviewers: “What knowledge does this research add?” This question lies at the heart of whether a DSR project will be recognized, published, and valued within the Information Systems (IS) community. In this article, we break down what a knowledge contribution truly means in DSR, why the field still lacks consensus, and how DSR projects can effectively signal both scholarly and practical impact. […]
- [What Exactly Is an Artifact in Design Science Research? A Deep, Clear Guide for Researchers](https://isscholar.com/what-exactly-is-an-artifact-in-design-science-research-a-deep-clear-guide-for-researchers/): Design Science Research (DSR) is becoming one of the most influential approaches in Information Systems, yet many researchers still struggle with one of its most fundamental concepts: the artifact. What is an artifact?How does it relate to knowledge?And why isn’t building something enough for a publishable DSR paper? This article gives a complete, accessible explanation of what the artifact is, why it matters, and how it contributes to knowledge in DSR. 1. The Artifact Is Central But Often Misunderstood In DSR, everything revolves around the artifact. It is the centerpiece of the research, the mechanism through which new knowledge is […]
- [A Comparative Exploration of Archer, Hevner, and the DSRM in Design Science Research](https://isscholar.com/a-comparative-exploration-of-archer-hevner-and-the-dsrm-in-design-science-research/): Design Science Research (DSR) has evolved across decades and disciplines, shaped by foundational contributions that clarify what it means to design as a form of inquiry. Three key propositions capture this evolution: Together, these propositions show how design matured from a practical craft into a rigorous scientific paradigm with recognized processes, outputs, and evaluation standards.This article compares and contrasts these three perspectives and illustrates their contributions using clear examples. 🔶 1. Archer: Design Can Be Structured Archer’s Contribution Bruce Archer, one of the pioneers of design methodology in engineering, believed that design was not merely intuitive creativity or craftsmanship. Instead, […]
- [Why Design Science Research Is the Missing Engine of Innovation in Information Systems](https://isscholar.com/why-design-science-research-is-the-missing-engine-of-innovation-in-information-systems/): For decades, Information Systems (IS) has defined itself through the lens of traditional social science. We have mastered the art of explaining phenomena—why users adopt technologies, how organizations respond to digital change, how data shapes decision-making, and what factors influence system success. This explanatory tradition has produced strong theories and sophisticated statistical methods. It has given IS a seat at the academic table. But it has also created a growing problem: IS has become incredibly good at describing the world, but not nearly good enough at designing solutions to improve it. This is the quiet crisis inside the IS discipline. […]
- [What Is an Artifact? Understanding the Core of Design Science Research](https://isscholar.com/what-is-an-artifact-understanding-the-core-of-design-science-research/): I have decided to start this bi weekly series with the topic of Artifact. If you are going into design science, this is a word that will always appear and having a strong understanding of it is essential in In Design Science Research (DSR). An artifact can be defined as a purposeful human creation  something designed to solve a problem or achieve a goal within a specific context. Here the keyword is human creation. To understand this lets go back to the foundational paper by Herbert Simon. Herbert Simon (1969) argued that what separates design science from natural science is […]
- [AISSAC’s Grant Oosterwyk Joins Global Ubuntu Data Network Panel](https://isscholar.com/aissacs-grant-oosterwyk-joins-global-ubuntu-data-network-panel/): We’re excited to share that the AISSAC President, Grant Oosterwyk, will speak on a panel hosted by the Global Ubuntu Data Network—a collaborative community connecting African Data & AI professionals across the continent and the diaspora. This conversation brings together practitioners, researchers, builders, and policymakers to explore how Africa can shape responsible, high-impact AI—from data infrastructure and governance to talent pipelines and entrepreneurship. About the Event Why This Matters What You’ll Gain
- [From Curiosity to Craft: I’m Attending the Two-Week Doctoral Seminar in Design Science Research](https://isscholar.com/from-curiosity-to-craft-im-attending-the-two-week-doctoral-seminar-in-design-science-research/): How it started My first real exposure to Design Science Research (DSR) was Prof. Jan vom Brocke’s YouTube video. His clear framing of kernel theory → design principles → design rules → evaluation gave me an instant “aha!” moment. That spark grew after Dr. Amber Young’s Platform Seminar, where the EDGE method showed me how to translate ethical theory into concrete design moves. Those two touchpoints turned interest into a path. What’s next I’m excited to join the Two-Week Online Doctoral Seminar in Design Science Research, led by Prof. Jan vom Brocke (ERCIS) with Prof. Matthias Söllner and Prof. Daniel […]
- [Presenting at ICIS 2025: Building Visibility for Emerging IS Scholars](https://isscholar.com/presenting-at-icis-2025-building-visibility-for-emerging-is-scholars/): I’m excited to share that I’ll be presenting a Table Talk at the International Conference on Information Systems (ICIS 2025) in Nashville, Tennessee, on Monday, December 15, 2025. The session is titled “Building Visibility for Emerging IS Scholars: Creating a Culture of Recognition.” This Table Talk will bring together PhD students, early-career researchers, and senior scholars to explore how we, as a community, can create structures and practices that increase the visibility of emerging Information Systems scholars. The goal is to move beyond individual achievement and build a culture that values recognition, mentorship, and collective growth in the IS field. […]
- [Integrating AI-Driven Web Browsing into Information Systems: A Case Study of OpenAI’s Atlas Browser](https://isscholar.com/integrating-ai-driven-web-browsing-into-information-systems-a-case-study-of-openais-atlas-browser/): By Chinonso Anyaehie, PhD Researcher – Information Systems The Rise of the Agentic Browser On October 21, 2025, OpenAI introduced Atlas, a groundbreaking AI-powered web browser that seamlessly integrates ChatGPT’s capabilities into the browsing experience (OpenAI, 2025). Unlike traditional browsers, Atlas transcends mere page rendering—it interprets, synthesizes, and acts on information. Users can engage in natural-language dialogue to locate sources, draft reports, book travel, or analyze data, all within a unified interface. This innovation marks a pivotal shift for Information Systems (IS), the socio-technical frameworks that underpin organizational decision-making and coordination (Laudon & Laudon, 2020). By embedding generative AI directly […]
- [Mastering the ICIS Elevator Pitch: Make Every Conversation Count](https://isscholar.com/making-an-impression-with-your-research-pitch-2/): Attending ICIS presents a rare opportunity for doctoral students to meet some of the most influential scholars, editors, and collaborators in the Information Systems community, but these moments are often fleeting. Whether it’s a hallway encounter, a coffee-line conversation, or a spontaneous introduction after a panel, the ability to deliver a clear, compelling, and memorable research pitch can determine whether a quick chat turns into a meaningful connection. The “elevator pitch”—a concise three-minute window to convey enthusiasm, impact, and intellectual depth, is therefore not just a communication skill but a strategic tool for visibility and collaboration. Drawing on the insights […]
- [Why I’m Not Just Networking at ICIS, I’m Building Something Bigger](https://isscholar.com/why-im-not-just-networking-at-icis-im-building-something-bigger/): In a few weeks, I’ll be heading to ICIS 2025 in Nashville, not just with the goal of meeting people—but with a clear mission:To turn casual conference conversations into lasting academic connections through a platform I’m building — ISResearcher.com. 🎯 My Core Realization At most conferences, people exchange contacts and then… nothing happens. A name sits in an email or LinkedIn list with no real interaction afterward. I don’t want that. Instead of just collecting business cards, I want to create a shared space where these new connections can continue beyond the conference. That’s why I’m using ICIS as the […]
- [A Rough Model for Defining and Achieving Success in Doctoral Study](https://isscholar.com/a-rough-model-for-defining-and-achieving-success-in-doctoral-study/): The process of cultivating academic scholars through doctoral programs represents a high-stakes investment for institutions, demanding tremendous resource inputs, particularly faculty time. Yet, the determination of who will ultimately succeed in this rigorous journey often remains “somewhat elusive”. Drawing on his extensive experience with doctoral candidates, Varun Grover is an acclaimed American information systems researcher and educator. Currently a Distinguished Professor at the University of Arkansas’s Sam M. Walton College of Business, holding the George and Boyce Billingsley Endowed Chair in the Department of Information Systems, proposes a “rough model for success in doctoral study” designed to formalize the attributes […]
- [Exciting News: Accepted as a Contributor to MISQ Insider](https://isscholar.com/misq-insider-2/): I’m excited to share that I have been selected as a contributor for MISQ Insider a new initiative created in partnership with MIS Quarterly, one of the leading journals in Information Systems research. This initiative is designed as a win–win–win model for the IS field: 🎙️ What I’ll Be Doing As part of the MISQ Insider contributor cohort, I will: 💡 Why This Matters Academic publishing often hides the real thinking, revisions, and intellectual negotiations that shape a final paper. MISQ Insider opens that black box. By participating, I aim to: If you’re interested in following along, I’ll be documenting […]
- [Joined the Sequence Analysis Association & Presented Ongoing Research on AI Adoption](https://isscholar.com/joined-the-sequence-analysis-association-presented-ongoing-research-on-ai-adoption/): I am pleased to share that my membership with the Sequence Analysis Association (SAA) has officially been approved. This marks an important milestone in my methodological journey as I deepen my engagement with event-series analysis and process-based theorizing in Information Systems research. Shortly after my admission, I had the opportunity to present my work-in-progress study titled: “Event Series Research on AI Adoption” This presentation took place during the Work-in-Progress Seminar on Sequence Analysis, which featured emerging research applying sequence methods across disciplines. The session was structured to encourage open discussion and collective refinement of research designs. 🧩 Seminar Details 🔍 […]
- [Concept Proposal: Establishing ISResearcher.com as a Global Visibility Network for Emerging IS Scholars](https://isscholar.com/is/): 1. Background & Motivation One of the greatest privileges in a research career is having people you can openly exchange ideas with, especially those whose strengths complement your weaknesses. That kind of intellectual partnership is rare, and it’s a gift worth cherishing. Doctoral students in Information Systems often conduct high-potential research that remains invisible until formal publication. Traditional academic pathways offer limited early-stage visibility, and networking is fragmented across institutions and conferences. As a result, PhD students miss opportunities for early collaboration, recognition, and academic identity building. 2. Objective This initiative proposes the creation of ISResearcher.com – PhD Circle, a […]
- [Accepted to Volunteer for ICIS 2025!](https://isscholar.com/accepted-to-volunteer-for-icis-2025/): I am thrilled to announce that I have been selected to be a volunteer for the International Conference on Information Systems (ICIS) 2025, which will be held in Nashville, Tennessee. I received a congratulatory email from Aretha Wright, the On-site Volunteer Coordinator, confirming my selection. As a volunteer, I will have the chance to contribute to the successful execution of this major academic conference. The ICIS conference is a premier event for the Information Systems community, bringing together leading scholars, researchers, and practitioners from around the world. Being a part of the team that helps make this event a reality […]
- [AI Adoption Isn’t a Decision,  It’s a Sequence. Why Most Organizations Are Still Asking the Wrong Question](https://isscholar.com/ai-adoption-isnt-a-decision-its-a-sequence-why-most-organizations-are-still-asking-the-wrong-question/): There’s a familiar pattern we see across industries right now. A leadership team announces a new AI initiative. A policy memo goes out. Training modules are uploaded. Teams are encouraged sometimes strongly to “embrace AI in their workflow.” And then… very little changes. Sure, a handful of enthusiastic early adopters start experimenting. Some teams build prototype use cases. A few prompt-sharing channels appear in Slack or Teams. But the majority of knowledge workers remain cautiously distant. AI stays at the edge of real work rather than embedded in the daily operational core. Most organizations respond with the predictable next step: […]
- [🚨 Quantum Just Hit a Turning Point and It Changes Everything](https://isscholar.com/quantum/): For years, quantum computing has been treated as a distant scientific pursuit, a future we were always “ten years away” from. But something major just shifted. This year, the 2025 Nobel Prize in Physics was awarded not for theoretical breakthroughs alone, but for pushing quantum out of the lab and into real-world deployment. It was a symbolic moment — a signal that quantum computing has officially crossed the boundary between science and application. At the same time, our research that will be presented at ICIS 2025 in Nashville, analyzed 4,194 press releases about quantum computing from 1989 to 2025. And […]
- [A Pedagogical Blueprint for the AI-Augmented Classroom: Design Principles and Outcomes of Integrating Microsoft Copilot in Foundational Business Analytics.](https://isscholar.com/a-pedagogical-blueprint-for-the-ai-augmented-classroom-design-principles-and-outcomes-of-integrating-microsoft-copilot-in-foundational-business-analytics/): 1. Introduction: The Imperative of AI Integration The rapid emergence of generative artificial intelligence (GenAI) demands a fundamental shift in instructional design across higher education, particularly within business and technology curricula (Mishra, n.d.; MDPI, 2024; Frontiers in Education, 2025). To prepare students for a workforce increasingly augmented by AI, educational institutions must develop evidence-based models for ethical and effective GenAI integration (AACSB, 2025). This report serves as a pedagogical blueprint, detailing the successful design, implementation, and rigorous evaluation of a first-year undergraduate course component, “Excel Assessment 1: Microsoft Copilot (Gen AI) Integration.” This intervention was specifically designed to strengthen foundational […]
- [Target Journals for Fast-Tracking an IS Faculty Job](https://isscholar.com/target-journals-for-fast-tracking-an-is-faculty-job/): Practical target order (for academic jobs) Aim by your “on-market” year Where to send based on method Fastest path tips (reality-checked) If you tell me which of your projects is closest to submission (CRS design paper, AI adoption sequences, quantum collab, etc.), I’ll give you a journal-by-journal targeting plan and cover letters.
- [📊 IS Journals at a Glance](https://isscholar.com/%f0%9f%93%8a-is-journals-at-a-glance/): Understanding IS Journals and What They Publish When pursuing a PhD in Information Systems (IS) or aiming for tenure, it’s crucial to understand where to place your work. Different journals have distinct methodological preferences and reputational weight in the field. Below is a breakdown of the major IS journals, the kinds of research they tend to accept, and how they are perceived in tenure evaluations. Top-Tier Journals for Tenure These are the journals most often expected for tenure-track success in IS: 👉 For tenure, these four (MISQ, ISR, JAIS, JMIS) are the “big four” in IS. Other Leading IS Journals […]
- [What Arts-Based Research (ABR)](https://isscholar.com/what-arts-based-research-abr/): 🔎 What it is Arts-Based Research is a type of qualitative research that uses art forms — photos, drawings, music, poetry, performance, film, storytelling — to collect, analyze, and/or share knowledge. 👉 The key idea: some human experiences are hard to capture with just numbers or even words.Art can reveal feelings, stories, and insights that ordinary surveys or interviews might miss. 🛠️ Methods of Arts-Based Research (with Examples) 1) Photovoice 💡 Example: Homeless youth take pictures of “barriers to safety” in their city (locked bathrooms, crowded shelters). These photos are shared with policymakers to push for change. 2) Poetry / […]
- [What is Action Research](https://isscholar.com/what-is-action-research/): Action Research is a collaborative, problem-solving approach where the people who live the problem (teachers, nurses, residents, employees, etc.) co-design, test, and refine solutions with the process carefully documented so it also produces credible knowledge. 🔎 What Action Research Really Is At its heart, Action Research (AR) is a way of solving problems together while also learning from the process. Unlike traditional research (where scientists study people from the outside), in AR: 🌀 The Core Loop: Learn by Doing AR is not a one-time experiment. It’s a repeating cycle: Plan → Act → Observe → Reflect → Adjust → Repeat […]
- [Expanding the Mixed Methods Research -Qualitative Paradigm](https://isscholar.com/expanding-the-mixed-methods-research-qualitative-paradigm/): This article shows how qualitative research isn’t limited to interviews, observations, or documents. It explores three big expansions: 1. 🎯 Mixed Methods Research What it is: Mixed Methods Research is a type of research that combines quantitative methods (numbers, statistics, surveys, experiments) with qualitative methods (words, interviews, observations, stories) in the same study. It is basically the idea is that numbers tell you what is happening, while stories help you understand why and how it’s happening. ✅ Example Suppose you want to study student stress in graduate school: 1. 🏥 Healthcare Example – Patient Satisfaction 2. 📱 Technology Example – […]
- [Making an Impression with Your Research Pitch](https://isscholar.com/making-an-impression-with-your-research-pitch/): Introduction In the fast-paced world of academia, a compelling research pitch—often dubbed the “elevator pitch”—is a critical tool for doctoral students. This concise, engaging summary of your work can unlock opportunities for collaborations, mentorship, funding, and career advancement. Whether you’re at a conference coffee break, an academic reception, or a chance hallway encounter, your pitch must captivate busy, influential scholars in mere minutes. While the importance of a research pitch is widely acknowledged, detailed guidance on crafting and delivering one effectively is scarce. Drawing on insights from Varun Grover, Distinguished Professor of Information Systems at the University of Arkansas, this […]
- [What Theory is Not, Theorizing is" by Karl E. Weick](https://isscholar.com/what-theory-is-not-theorizing-is-by-karl-e-weick/): The paper titled “What Theory is Not, Theorizing is” is authored by Karl E. Weick from the University of Michigan. It was published in the Administrative Science Quarterly (ASQ) in September 1995 (Volume 40, pages 385-390). This is a short commentary or “ASQ Forum” piece, part of a discussion section in the journal. It serves as a response to an earlier article by Robert I. Sutton and Barry M. Staw titled “What Theory Is Not” (also in ASQ, 1995, Volume 40, pages 371-384), where Sutton and Staw argue that certain elements (references, data, lists, diagrams, hypotheses) are not theory. Weick […]
- [What Constitutes a Theoretical Contribution? by David A. Whetten](https://isscholar.com/what-constitutes-a-theoretical-contribution-by-david-a-whetten/): Overview of the Paper The paper titled “What Constitutes a Theoretical Contribution?” is authored by David A. Whetten from the University of Illinois. It was published in the Academy of Management Review (AMR) in October 1989 (Volume 14, Issue 4, pages 490–495). As the editor of AMR at the time, Whetten wrote this as an editorial to provide guidance on evaluating theoretical submissions. The paper aims to clarify the often ambiguous criteria for what makes a strong theoretical contribution in organizational and management research. It draws on Whetten’s experience reviewing manuscripts and existing literature on theory building (e.g., references to […]
- [Sprague (1980)“Framework for Developing DSS”](https://isscholar.com/sprague-1980framework-for-developing-dss/): Understanding Decision Support Systems: A Framework We are seeing a major push in how computers help organizations, and it’s called Decision Support Systems, or DSS. Some people think it’s a big new step, while others just see it as a new trendy phrase. One idea is that computer systems have naturally grown from focusing on daily tasks (like EDP) to managing information (like MIS), and now to DSS. In this view, DSS takes over where MIS leaves off. However, another perspective is that DSS is just a specific part of what MIS already is and will continue to be. There’s […]
- [Mason & Mitroff (1973)“A Program for Research on MIS”](https://isscholar.com/mason-mitroff-1973a-program-for-research-on-mis/): The core idea of the paper is that a Management Information System (MIS) isn’t just a computer program or a set of reports. It’s something much bigger, involving these five key parts that work together: The authors’ main point is that most MIS designs at the time focused on only one limited option for each of these five parts, completely ignoring many other possibilities. They propose a research plan to study all these other ways. Let’s look at each part in simpler language: 1. The PERSON: Different Thinking Styles (Psychological Type) People’s minds work differently. The paper uses ideas from […]
- [Event study](https://isscholar.com/event-study/): An event study is a powerful tool used by researchers to assess the financial impact of changes in corporate policy or other events on the stock prices of firms. It is frequently used in management and finance research. The basic idea is to determine whether there is an “abnormal” stock price effect associated with an unanticipated event. This method helps researchers infer the significance of the event by measuring its impact on firm value, often using stock price changes as a proxy for financial performance or firm performance. Stock prices are assumed to reflect the true value of firms because […]
- [How to Build Strong Theories Using Case Studies: A Practical Guide Inspired by Eisenhardt"](https://isscholar.com/how-to-build-strong-theories-using-case-studies-a-practical-guide-inspired-by-eisenhardt/): Okay, let’s assume you are a researcher wanting to use Kathleen Eisenhardt’s approach to multiple case studies. Based on the sources, here is a detailed step-by-step walk-through of how you would typically proceed: By following these steps, you systematically move from initial concepts and case selection through rigorous data analysis and comparison to build a theory grounded in the evidence from your multiple cases.
- [Understanding Kathleen Eisenhardt's Approach to Multiple Case Studies](https://isscholar.com/understanding-kathleen-eisenhardts-approach-to-multiple-case-studies/): Qualitative research methods are diverse and often require expertise to navigate and justify. Among these, the multiple case study is a very common approach. When researchers in management started looking at which qualitative studies were being published in top journals, two main methods emerged as popular templates: the Eisenhardt method and the Gioia method. This article focuses on the approach pioneered by Kathleen Eisenhardt. Unlike quantitative research, which often has clear “right and wrong” choices for methods, qualitative research is more flexible. Because of this flexibility, researchers using qualitative methods need to be very clear and transparent about exactly how […]
- [The Eisenhardt Method for theory building:](https://isscholar.com/the-eisenhardt-method-for-theory-building/): The Eisenhardt Method is an approach to building new theories by studying multiple real-world cases. Unlike methods that rely solely on abstract theorizing, it emphasizes gathering detailed, direct insights from carefully chosen examples. Let’s break down each step clearly and thoroughly: Step 1: Core Aim: Theory Building What it means: How you achieve it: Step 2: Research Questions Without Obvious Answers What it means: Why this matters: How you identify such questions: Step 3: Careful Case Selection (Theoretical Sampling) What it means: How you select cases: Strategic types of case selections: Practical considerations: Step 4: Explicitly Developing and Defining Constructs […]
- [How Theoretical Sampling Works in the Eisenhardt Method: A Story](https://isscholar.com/how-theoretical-sampling-works-in-the-eisenhardt-method-a-story/): Okay, let’s imagine a story about a researcher trying to understand something new using the Eisenhardt Method, and specifically focusing on theoretical sampling. Meet Alex, a researcher. Alex is really curious about why some new tech companies, called startups, grow incredibly fast and become hugely successful, while others that seem similar just… don’t. There isn’t a clear, simple answer out there about how this rapid, successful growth happens, so Alex knows this is a good puzzle for building a new theory. Now, Alex needs to study some actual startups to figure this out. But there are thousands of startups! Alex […]
- [Insights and Reflections on the PhD Teaching Seminar Facilitated by Dr. Adam Stoverink](https://isscholar.com/insights-and-reflections-on-the-phd-teaching-seminar-facilitated-by-dr-adam-stoverink/): Reflection #1  As a teacher, my job isn’t just about delivering content—it’s also about creating the right environment for learning. The first day of class is critical because it sets the tone for the rest of the semester. If students feel comfortable and safe speaking up from the start, they’ll be more engaged throughout the course. One way to build this environment is through icebreakers, like scavenger hunts or interactive activities, that help students connect with each other.  Creating this sense of psychological safety is important because no matter how well I teach, if students don’t feel comfortable engaging, they […]
- [Understanding Cause and Effect in Marketing: A Simple Guide to Quasi-Experiments](https://isscholar.com/understanding-cause-and-effect-in-marketing-a-simple-guide-to-quasi-experiments/): Imagine you’re a marketing manager trying to figure out if running a new ad campaign actually makes more people buy your product. Ideally, you’d run a perfect experiment: randomly show the ad to some people and not to others, then compare their purchases. This is a true experiment, and it’s the gold standard for figuring out cause and effect. However, in the real world of marketing, perfect experiments aren’t always possible, ethical, or affordable. That’s where quasi-experiments come in. What are Quasi-Experiments? Think of quasi-experiments as “almost experiments”. They are used when we want to understand if one thing (like […]
- [Critical Realist Case Study Research in IS](https://isscholar.com/critical-realist-case-study-research-in-is/): The paper titled “Principles for Conducting Critical Realist Case Study Research in Information Systems” by Donald Wynn Jr. and Clay K. Williams introduces a powerful yet complex way to do research in Information Systems (IS) using Critical Realism (CR). This article expands and simplifies their key ideas and contributions for anyone curious about applying this approach to real-world research. What is Critical Realism (CR)? I would love to break this definition down so you can understand it deeply – this is not another research paper so there’s really no need to use ambiguous words. Critical realism is a special way […]
- [Introduction to Inductive and Deductive Approaches in Qualitative Research](https://isscholar.com/introduction-to-inductive-and-deductive-approaches-in-qualitative-research/): Understanding Inductive and Deductive Approaches In qualitative research, there are two fundamental methods of approaching research questions: inductive and deductive. Selecting one of these methods is essential when planning your research project. You either move from specific observations to broader generalizations or start with a general theory and apply it to specific cases or instances. The Inductive Approach The inductive approach involves starting from specific observations and moving towards developing broader generalizations or theories. It is often called the “bottom-up” approach because researchers start with detailed observations and build up to general conclusions or theories. Example of the Inductive Approach: […]
- [A Comprehensive Introduction to Structural Equation Modeling (SEM)](https://isscholar.com/a-comprehensive-introduction-to-structural-equation-modeling-sem/): By Professor Nick Allum | Expanded and Simplified What is Structural Equation Modeling (SEM)? Structural Equation Modeling (SEM) is an advanced statistical methodology designed to analyze complex relationships among multiple variables simultaneously. It is particularly useful in diverse fields like sociology, psychology, political science, economics, and even extends to natural sciences such as neuroscience and physics. SEM uniquely integrates multiple analytical methods, primarily regression analysis and factor analysis, allowing researchers to rigorously test detailed theories and explore the intricate interdependencies that exist within data. The technique empowers scientists and researchers to derive deeper insights and robust conclusions about how various […]
- [What Is Structural Equation Modeling (SEM)?](https://isscholar.com/published-not-reviewed/): Imagine you’re trying to understand why some people do really well in school. You can measure things like their test scores, study hours, and grades, but you can’t directly measure things like “motivation” or “intelligence.” Structural Equation Modeling (SEM) helps you figure out how these invisible things (motivation, intelligence) influence the things you can measure (test scores, grades). It also helps show how different things connect—like a domino effect. For example, getting a good education might lead to a better job, which then leads to making more money. SEM helps map out these relationships to see how one thing leads […]
- [A Beginner’s Guide to Structural Equation Modeling (SEM): Understanding Relationships in Research](https://isscholar.com/a-beginners-guide-to-structural-equation-modeling-sem-understanding-relationships-in-research/): Imagine you’re a researcher studying what makes employees happy at work. You believe that: Traditional statistics (like regression) allow you to test one relationship at a time. But what if you want to test all of these relationships together? What if you also want to make sure you are measuring “job satisfaction” correctly? This is where Structural Equation Modeling (SEM) comes in. SEM allows researchers to: ✅ Test multiple relationships at the same time✅ Make sure they are measuring things correctly✅ See how different concepts influence each other Let’s break it down step by step so that you fully understand […]
- [Survival Analysis: Understanding How Long Things Last](https://isscholar.com/survival-analysis-understanding-how-long-things-last/): What is Survival Analysis? Survival analysis is a special way of analyzing how long it takes for something to happen while considering that for some subjects, the event hasn’t happened yet when the study ends. Let’s break it down with a real-life example: Imagine you open a new gym membership program and track how long customers stay subscribed before canceling. Some customers cancel in a month, some in a year, and some are still members when you stop tracking. This makes survival analysis different from standard time-based analysis, because it deals with incomplete or “censored” data, where some people haven’t […]
- [Understanding Data Structures: Time Series, Cross-Sectional, and Panel Data](https://isscholar.com/understanding-data-structures-time-series-cross-sectional-and-panel-data/): Introduction When working with data, one of the first steps is understanding the different data structures available. Choosing the appropriate structure is crucial for accurate analysis and interpretation. This article explores three primary types of data structures: time series data, cross-sectional data, and panel data. Understanding their characteristics, applications, and key differences will enhance your ability to analyze data effectively. Time Series Data What is Time Series Data? Imagine filming the same event over time—like recording the temperature every hour or tracking stock prices every day. Time series data is all about observing how something changes over time. Time is […]
- [Understanding Causal Inference and Endogeneity](https://isscholar.com/understanding-causal-inference-and-endogeneity/): When we study statistics, one big challenge is knowing if one thing really causes another. Many times, two things may change together, but that does not mean one causes the other. This is the difference between correlation and causation. Why Is Causation Hard to Prove? In many studies—especially in social sciences like economics or sociology—we do not work in a laboratory. We cannot control everything. This means there are many hidden factors that might affect our results. For example, if we study whether drinking more coffee makes people happier, there might be other things affecting happiness that we did not […]
- [Understanding Barley’s Research Approaches: A Simple and Detailed Explanation](https://isscholar.com/understanding-barleys-research-approaches-a-simple-and-detailed-explanation/): This document provides an expanded and detailed explanation of Professor Rajiv Sabherwal’s discussion on Stephen Barley’s (1990) research methods. Barley’s study examines how technology changes work, particularly in hospital radiology departments. To study these changes, he used three primary research approaches: synchronic, diachronic, and parallel analysis. These approaches help researchers understand different aspects of organizational change, whether by capturing a moment in time, tracking developments over a period, or comparing multiple entities. This document explains each approach, how they relate to cross-sectional and longitudinal studies, and why they are useful in qualitative research. 1. Three Ways to Study Organizational Change […]
- [Building Theories from Case Study Research](https://isscholar.com/building-theories-from-case-study-research/): Introduction When researchers want to understand how things work in the real world, they often turn to case study research. This method involves deeply investigating real-life situations to develop new ideas or improve existing theories. This paper explains how to conduct high-quality case study research step by step, covering all key points from the original research. 📖 What is Case Study Research? Case study research is a way to study a specific example in depth, such as a company, an industry, or a historical event. It is useful when a researcher wants to explore a topic that has not been […]
- [Understanding Pluralist Theory Building: A Simple Guide to Creating Theories from Data](https://isscholar.com/understanding-pluralist-theory-building-a-simple-guide-to-creating-theories-from-data/): Introduction Have you ever wondered how researchers develop new theories from real-world information? When scientists observe patterns in data, they often try to create explanations that make sense of what they see. This process is called theory building. However, understanding complex situations often requires looking at things from multiple perspectives. That’s where pluralist theory building comes in. Pluralist theory building is a way for researchers to combine different viewpoints to create a well-rounded theory. This approach is especially useful in fields like Information Systems, where different perspectives—such as technology, business, and human behavior—play important roles. This guide explains step by […]
- [Is IT Changing the World? Understanding How Information Systems Influence Society](https://isscholar.com/is-it-changing-the-world-understanding-how-information-systems-influence-society/): Markus, M. L., & Rowe, F. (2018). Understanding how Information Systems influence society: A framework for causality in IS research. MIS Quarterly, 42(4), 1255-1280. 📌 Introduction Imagine someone asks, “Is technology changing the world?” The answer seems obvious: yes! But how do we know this? How do we measure the impact of technology on society? This paper by Markus & Rowe (2018) dives into that question by exploring how researchers think about cause-and-effect relationships in Information Systems (IS). The authors introduce a framework that helps IS scholars better understand and explain how technology influences individuals, organizations, and society. They explore […]
- [Understanding How Theories Are Built: A Simple Guide](https://isscholar.com/understanding-how-theories-are-built-a-simple-guide/): Introduction The process of building theories in fields like business, psychology, and social sciences is not just about gathering facts or analyzing data. It involves a structured yet creative approach to explaining complex ideas. Theorists must combine imagination with logical reasoning to develop frameworks that help us understand the world. This article breaks down the process of theory construction into clear, practical steps that anyone can grasp and apply. 🌍 What Is a Theory? A theory is a structured explanation of how something works. It is more than just an idea—it connects different concepts in a meaningful way, providing a […]
- [Making Data Work for People: How Virginia Used Technology to Overcome Crises](https://isscholar.com/making-data-work-for-people-how-virginia-used-technology-to-overcome-crises/): (Based on Tremblay, M. C. (2023). Digital Resilience in Government Data Sharing: Lessons from Virginia. MIS Quarterly.) 📖 Introduction Governments need to be prepared for unexpected problems, like natural disasters or health crises, to protect their citizens and keep essential services running. One of the best ways to do this is by using data effectively. The Commonwealth of Virginia (COVA) created a system to gather and use data from different government agencies, helping them respond to two major crises: the opioid epidemic and the COVID-19 pandemic. This research examines how COVA built digital resilience—the ability to anticipate problems, respond effectively, […]
- [The Integration of Digital and Physical Infrastructure in Supply Chains](https://isscholar.com/the-integration-of-digital-and-physical-infrastructure-in-supply-chains/): 🌍 Introduction Big companies and governments invest heavily in infrastructure to improve supply chains, ensuring efficiency and resilience in global trade. Infrastructure includes both 📡 digital tools (such as blockchain-based tracking systems, AI-driven logistics planning, and cloud-based data management) and 🏗️ physical systems (such as automated warehouses, smart factories, and advanced transportation networks). This study explores how the integration of digital and physical infrastructure enhances supply chain performance, particularly in industries like pharmaceuticals, where timely production and distribution are critical for patient care. The research highlights case studies in the UK pharmaceutical sector, showing how investments in digital and physical […]
- [Understanding the Eisenhardt Method: A Plain-Language Guide](https://isscholar.com/understanding-the-eisenhardt-method-a-plain-language-guide/): Introduction 🧠 The Eisenhardt Method is a way of doing research that helps build new theories by studying multiple real-world cases. Kathleen Eisenhardt, a professor at Stanford University, developed this method to create strong theories based on observations and data rather than just logical assumptions or predictions. In simple terms, this method is about studying different cases in detail, identifying common patterns, and using those patterns to explain how things work. This guide breaks down how the Eisenhardt Method works in an easy-to-understand way. The Core Idea of the Eisenhardt Method 🎯 The Eisenhardt Method is designed for theory building. […]
- [Building Theories from Case Study Research: A Simple Guide 📖](https://isscholar.com/building-theories-from-case-study-research-a-simple-guide/): Introduction 🏛️ Based on: Eisenhardt, K. M. (1989). “Building Theories from Case Study Research.” Academy of Management Review, 14(4), 532-550. Case study research is a powerful way to develop new theories, especially in fields where little is known or where existing theories don’t fully explain real-world situations. This method involves deep investigations of specific cases (such as companies, teams, or industries) to uncover patterns and build broader explanations. Kathleen M. Eisenhardt’s 1989 paper outlines a structured approach for using case studies to create theories. This guide simplifies her insights into an easy-to-understand format. What is Case Study Research? 🤔 Case […]
- [Making Case Study Research More Reliable: How Well Do Information Systems Researchers Follow Best Practices?](https://isscholar.com/making-case-study-research-more-reliable-how-well-do-information-systems-researchers-follow-best-practices/): 🔍 Introduction Research is how we create new knowledge. But how do we know if research is done properly? This paper looks at a specific type of research called case study research in the field of Information Systems (IS). Case studies help us understand real-world situations by examining businesses, organizations, or specific technologies in detail. However, some researchers have criticized case studies for being inconsistent and lacking structure. This paper examines whether IS researchers are following best practices to make their case studies rigorous and reliable. – (Dubé & Paré, 2003) 📌 What is Case Study Research? A case study […]
- [Expanding on Exploratory Factor Analysis (EFA)](https://isscholar.com/expanding-on-exploratory-factor-analysis-efa/): What is Exploratory Factor Analysis (EFA)? EFA is a data-driven statistical technique used to identify hidden patterns (factors) in a set of variables, such as survey questions. Instead of analyzing each variable separately, EFA finds relationships among them and groups similar ones together. This is useful in research where the underlying structure of data is unknown or needs to be explored. 🧩 Breaking It Down with an Example Imagine you are conducting a survey on student well-being, and you ask students 10 different questions related to their daily life. The students rate their agreement on a scale from 1 (Strongly […]
- [Stepping Up My Research Game: Successfully Completed Two Social/Behavioral Research Courses](https://isscholar.com/stepping-up-my-research-game-successfully-completed-two-social-behavioral-research-courses/): As a first-year Information Systems student at the University of Arkansas Fayetteville, I’m thrilled to share a significant milestone in my academic journey. Recently, I successfully completed two essential Citiprogram courses that focus on social and behavioral research—an experience that has already begun to shape my approach to research and ethical conduct in academia. What I Accomplished Social/Behavioral Research Course – Basic Level Completion Date: February 1, 2025 Expiration Date: February 1, 2028 Final Score: 97% This course laid the groundwork by introducing me to the fundamentals of social and behavioral research. It provided key insights into research methodologies, data […]
- [A Simple Breakdown of the Research: 'Process Studies of Change in Organization and Management'](https://isscholar.com/a-simple-breakdown-of-the-research-process-studies-of-change-in-organization-and-management/): Citation:Langley, A., Smallman, C., Tsoukas, H., & Van de Ven, A. H. (2013). Process studies of change in organization and management: Unveiling temporality, activity, and flow. Academy of Management Journal, 56(1), 1-13. https://doi.org/10.5465/amj.2013.4001 What Is This Research About? 🎯 This research explores how organizations change over time. Instead of looking at organizations as static entities, the authors argue that they should be studied as continuous, evolving processes. The focus is on how things emerge, develop, and change over time, rather than simply measuring outcomes at fixed points. Process studies take into account the role of time, activity, and interaction in […]
- [A Simple Breakdown of the Research: 'On Human Correspondence'](https://isscholar.com/a-simple-breakdown-of-the-research-on-human-correspondence/): Citation:Ingold, T. (2017). On human correspondence. Journal of the Royal Anthropological Institute, 23(1), 9-27. https://doi.org/10.1111/1467-9655.12541 What Is This Research About? 🎯 This research challenges traditional views of human relationships and social life. Tim Ingold argues that we should not see people as separate individuals interacting, but rather as interwoven lines of life that continuously shape and influence each other. Instead of viewing human relationships as static structures, he introduces the concept of correspondence—a dynamic process where people and their environments evolve together over time. By doing so, he provides a fresh perspective on social connections, movement, and shared experiences. Why […]
- [A Simple Breakdown of the Research: 'Everything Flows'](https://isscholar.com/a-simple-breakdown-of-the-research-everything-flows/): Citation: Mousavi Baygi, R., Introna, L. D., & Hultin, L. (2021). Everything flows: Studying continuous socio-technological transformation in a fluid and dynamic digital world. MIS Quarterly, 45(1), 423-452. https://doi.org/10.25300/MISQ/2021/15887 What Is This Research About? 🎯 This research explores how digital innovations are continuously reshaping our world, making it more dynamic and interconnected. Instead of analyzing transformation by looking at individual people, organizations, or technologies as the main drivers of change, the researchers introduce a new perspective: focusing on the flows of actions that shape our digital environment over time. By shifting our focus from actors to flows, we gain a […]
- [Publishing in AMJ: What’s Different About Qualitative Research?](https://isscholar.com/publishing-in-amj-whats-different-about-qualitative-research/): Bansal, P. (Tima), & Corley, K. (2012). Publishing in AMJ —Part 7: What’s Different about Qualitative Research? Academy of Management Journal, 55(3), 509–513. https://doi.org/10.5465/amj.2012.4003 Purpose of the Research 📌 What is this study about? This paper by Bansal & Corley (2012) provides insights into what makes qualitative research unique and how to successfully publish it in the Academy of Management Journal (AMJ). The authors synthesize insights from top qualitative researchers and reviewers to highlight the differences between qualitative and quantitative research and provide guidance for crafting strong qualitative manuscripts. 📌 Key Topics Covered: 📌 Why does it matter? Many scholars, […]
- [The Case for Qualitative Research: A Comprehensive Guide](https://isscholar.com/the-case-for-qualitative-research-a-comprehensive-guide/): Morgan, G., & Smircich, L. (1980). The Case for Qualitative Research. The Academy of Management Review, 5(4), 491–500. https://doi.org/10.5465/amr.1980.4288947 Purpose of the Research 📌 What is this study about? This research by Morgan & Smircich (1980) explores qualitative research as a legitimate and essential approach in the social sciences. The authors challenge the idea that quantitative methods are the only scientific approach and argue that research methods should align with the nature of the phenomena being studied. The paper focuses on: 📌 Why does it matter? Most social science research has traditionally relied on quantitative methods, treating human behavior as […]
- [Longitudinal Field Research on Change: A Comprehensive Guide](https://isscholar.com/longitudinal-field-research-on-change-a-comprehensive-guide/): Pettigrew, A. M. (1990). Longitudinal Field Research on Change: Theory and Practice. Organization Science, 1(3), 267–292. https://doi.org/10.1287/orsc.1.3.267 Purpose of the Research 📌 What is this study about? This research explores longitudinal field research as a method for studying organizational change over time. It discusses the challenges and best practices for conducting studies that track how organizations evolve by: 📌 Why does it matter? Many studies on change fail to capture the complexity of real-world transformation. They often focus on snapshots rather than continuous processes. Longitudinal field research allows researchers to see change as it happens, uncovering patterns and causes that […]
- [Diary Studies in Research: A Simple Guide](https://isscholar.com/diary-studies-in-research-a-simple-guide/): Olorunfemi, D. (2024). Diary studies in research: More than a research method. International Journal of Market Research, 66(4), 410–427. https://doi.org/10.1177/14707853231222139 Purpose of the Research 📌 What is this study about? This research explores diary studies as a powerful method in qualitative research, especially for tracking individual experiences over time. It investigates how diary studies: 📌 Why does it matter? Traditional methods like one-time interviews may miss details because people forget things over time. Diary studies allow participants to document their thoughts as they happen, making the data more accurate and insightful. 📌 Citation Olorunfemi, O. (2024). The Role of Diary […]
- [Leveraging Process Data in Process Research for International Business](https://isscholar.com/leveraging-process-data-in-process-research-for-international-business/): Process research is about studying how things happen over time, especially the events, decisions, and activities that unfold in organizations. To do this, researchers rely on rich process data which is one of the three critical ingredients. This  includes a combination of memories, observations, and records. This section breaks down the key aspects of collecting and using process data in international business (IB), where complexity is amplified by global operations, cultural differences, and multiple layers of decision-making. People’s Memories and Interpretations One of the primary ways to collect rich process data is by tapping into people’s memories and interpretations. This […]
- [Challenges of Process Research in International Business](https://isscholar.com/challenges-of-process-research-in-international-business/): One of the main characteristics of process research is that it requires collecting and analyzing process data—information that captures how events and actions unfold over time. However, as Langley (1999) points out, this type of data is often messy, complicated, and qualitative. It doesn’t fit neatly into rows and columns like numbers in a spreadsheet. Instead, it involves stories, events, and timelines, making it harder to organize, measure, and analyze. Why Process Research Is Harder in International Business Studying processes in the context of international business (IB) comes with even more challenges due to the unique nature of the field. […]
- [Complete Guide to Process Research](https://isscholar.com/complete-guide-to-process-research/): The field of international business is focused on understanding how things change and develop over time, especially through ongoing actions and events. One of the main topics studied is how companies expand internationally, which involves understanding the steps they take and how their strategies evolve. However, some researchers have criticized the way these processes are studied, arguing that the methods used don’t always fully capture the changes over time or use long-term data. Another area of interest is how relationships between company headquarters and their foreign branches evolve. This includes studying tensions, like when headquarters want control but local branches […]
- [Complete Guide to Computational Intensive Theory Construction](https://isscholar.com/complete-guide-to-computational-theory-construction/): With so much of our world becoming digital, many believe that the huge amount of digital data available could completely change how we study social behavior and challenge the way things have traditionally been done. By closely analyzing this digital data (often called “trace data” because it leaves a digital trail of human activity), researchers can gain deeper and more accurate insights into how people interact and behave. However, understanding this data requires advanced tools to create visuals, identify patterns, and even make predictions. While these tools are helpful, they don’t automatically produce “theories”—which are deeper explanations of why things […]
- [Qualitative Research Design](https://isscholar.com/qualitative-research-design/): Introduction to Qualitative Research Design If you’re working on a qualitative dissertation, thesis, or research project, you’ve likely heard the phrase “research design.” But what does that really mean? Research design refers to the overall strategy or plan that dictates how you will collect, analyze, and interpret data in order to answer your research questions. Just as an architect develops a blueprint before building a house, researchers design a blueprint for their study to ensure consistency, reliability, and validity (or trustworthiness in qualitative terms). Why Qualitative Research? Qualitative research is typically used when you want to: Within qualitative research, there […]
- [Quantitative Research Design](https://isscholar.com/quantitative-research-design/): 1. Introduction to Quantitative Research Design When planning a quantitative study, one of the very first decisions you need to make is your research design. Simply put: Research design is the blueprint that guides how you will collect, measure, and analyze data so that you can answer your research questions in a clear, methodical, and valid way. Think of it like planning for a trip. You want to know: A clear, well-thought-out design helps ensure your study: In quantitative research, there are four primary research designs: We’ll look at each in detail, with layperson-friendly examples. After reading this guide, you’ll […]
- [How Organizations Are Leveraging Llama to Solve Real-World Challenges](https://isscholar.com/how-organizations-are-leveraging-llama-to-solve-real-world-challenges/): The rise of artificial intelligence has opened a new frontier for innovation, productivity, and economic growth. Open-source AI models like Llama are at the forefront of this revolution, offering organizations of all sizes the tools to create transformative solutions without the high costs often associated with proprietary systems. From enhancing job searches to advancing drug research, Llama is enabling businesses to tackle complex challenges with agility and impact. Here’s how companies like WriteSea, The Washington Post, and Nanome are harnessing the power of Llama to create meaningful change. WriteSea: Revolutionizing the Job Search Experience Finding a job in today’s competitive […]
- [The Business Value of AI: An In-Depth Exploration](https://isscholar.com/the-business-value-of-ai-an-in-depth-exploration/): The Business Value of AI: An In-Depth Exploration Artificial intelligence (AI) is revolutionizing business processes, enabling organizations to analyze data more efficiently, make smarter decisions, and enhance productivity. Its transformative potential spans industries, reshaping customer experiences, operational efficiencies, and workforce strategies. This article delves deeply into how companies are leveraging AI, drawing from real-world case studies and expert insights shared during a recent panel discussion on AI’s business value. AI Deployment Strategies and Business Transformation IBM’s Journey with AI: Driving Transformation through Hybrid Cloud and Generative AI IBM has undergone a remarkable transformation under the leadership of CEO Arvind Krishna, […]
- [Fine-Tuning AI Models with Proprietary Data: A Path to Sustained Competitive Differentiation](https://isscholar.com/fine-tuning-ai-models-with-proprietary-data-a-path-to-sustained-competitive-differentiation/): Introduction How can businesses leverage AI advancements to gain a competitive edge? This question has often felt like a riddle to me. Simply relying on publicly available, generic AI models fails to provide real differentiation—after all, everyone has access to the same tools. Recently, I came across a post by Professor Varun Grover that offered a compelling solution ( https://www.linkedin.com/pulse/quick-thoughts-ai-competitive-advantage-varun-grover-umuac/).. According to Grover, competitive advantage in AI hinges on leveraging it in ways that are difficult for competitors to replicate. This typically involves: A practical way to achieve this is by fine-tuning open-source or foundational AI models with proprietary data. […]
- [How QtPR Differs from Mathematical Modeling, Design Research, & Qualitative Methods](https://isscholar.com/how-qtpr-differs-from-mathematical-modeling-design-research-qualitative-methods/): QtPR vs. Mathematical Analytical Modeling So, the key difference is that mathematical modeling can happen entirely on paper (no real data), whereas QtPR always checks actual data against a theory. 2. QtPR vs. Design Research Thus, QtPR focuses on testing cause-and-effect relationships with real data, while design research focuses on creating and evaluating new artifacts—though they can overlap when design researchers use data-driven experiments to validate their creations. 3. QtPR vs. Qualitative Research (Positivist and Interpretive) 3.1 Qualitative Positivist Research (QlPR) 3.2 Qualitative Interpretive Research So, QtPR differs from both types of qualitative research because QtPR relies on numeric data […]
- [What Is Quantitative, Positivist Research?](https://isscholar.com/what-is-quantitative-positivist-research/): Quantitative, Positivist Research (QtPR) involves using numeric data to study how people and digital technologies interact. It typically assumes there is an objective reality—that if measured correctly, we can gather valid insights about how things work. Focus on Numbers In quantitative research, we work primarily with data in numeric form. Examples include: Why Numbers Matter Researchers use numeric scales to represent otherwise subjective ideas. For instance, a 1–5 scale might measure website satisfaction (1 = “Not satisfied at all,” 5 = “Very satisfied”). Even though satisfaction is a mental or emotional concept, reducing it to numbers helps in statistical analysis. […]
- [The Era of AI-Driven Coding](https://isscholar.com/the-era-of-ai-driven-coding/): AI tools are becoming essential in software development, offering rapid prototyping and efficiency. Cursor has been a prominent tool in this domain, but newer competitors like Bolt, Replit, and v0 are challenging its dominance. These tools aim to make coding more accessible and efficient. Testing Methodology: Building a Blogging Platform The app-building process used the same prompt across all tools:“Please build a Next.js blogging platform where posts can be written, edited, saved, and viewed.” The tools were evaluated based on: Bolt: Speed with Limitations Product Link: Bolt by StackBlitz Strengths: Limitations: Summary: Bolt is suitable for quick prototypes but falls […]

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