Information Systems and Management papers
Pofolia’s corpus holds 24 papers from Information Systems and Management (2004–2026), each with a short summary. Below, the 20 most-cited, then the most recently added.
At a glance
- Most cited: The Concept of Information Overload: A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines (2004, 2,103 citations).
- The 20 papers listed have 2,740 citations between them.
- 17 of the 19 with a known journal quartile appeared in a Q1 journal.
- 4 have a free full text (open access).
- Most frequent journals: ACM Computing Surveys, Cogent Business & Management, Cybersecurity.
- Published between 2004 and 2026.
Most cited
Ranked by citation count. Because citations accumulate over time, this list naturally leans towards work published a few years ago; for where the field is now, see “recently added”. How to read the signals
The Concept of Information Overload: A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines
The Information Society · 2004 · Q1 · FWCI 30.42 · 2,103 citations
This review synthesizes 30 years of research on information overload, presenting a conceptual framework of its definitions, causes, effects, and countermeasures across multiple business disciplines.
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality
Organization Science · 2026 · Q1 · SJR 7.00 · FWCI 1563.82 · 146 citations
AI, specifically GPT-4, improved knowledge worker performance by 12.2% in task completion and 25.1% in speed on tasks within its capabilities, but decreased accuracy by 19% on a complex task outside its frontier.
Theory and theory development: Guidelines for establishing theoretical gaps, foundations, contributions, and implications
Journal of Business Research · 2025 · Q1 · SJR 3.00 · FWCI 267.05 · 137 citations
This article provides a structured, sequential guide for scholars to overcome challenges in theory development, focusing on identifying theoretical gaps, foundations, contributions, and implications.
Maya-LLM-Defence: Sovereign Military LLM with Affective SNN Safety Substrate
Zenodo (CERN European Organization for Nuclear Research) · 2026 · 136 citations
Maya-LLM-Defence, a safety layer for offline military LLMs, blocks 28.33% of jailbreak prompts within 0-1ms using four spiking neurons, without impacting legitimate traffic.
Towards end-to-end automation of AI research
Nature · 2026 · Q1 · SJR 19.00 · FWCI 885.80 · 82 citations · Open access
A new AI system, 'The AI Scientist,' can autonomously generate research ideas, write code, conduct experiments, analyze data, write manuscripts, and perform peer review, with one generated manuscript passing the first round of peer review for a top-tier machine learning workshop.
Structural equation model of E-commerce live broadcasting influencing customers purchase intention prediction using machine learning
International Journal of Information Technology · 2026 · Q1 · FWCI 546.94 · 50 citations · Open access
A structural equation model (SEM) combined with machine learning (ML) algorithms (Bayesian, Random Forest, XGBoost, KNN, SVM) accurately predicts purchase intention in e-commerce live broadcasting, with live broadcast attributes increasing perceived value, trustworthiness, and impulsivity.
Toward Edge General Intelligence With Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration
IEEE Transactions on Cognitive Communications and Networking · 2025 · Q1 · SJR 2.00 · FWCI 81.71 · 42 citations
This survey introduces Multi-LLM systems as a novel approach to achieve general intelligence in edge computing, overcoming limitations of single LLMs in complex, dynamic tasks by enabling collaboration among specialized LLMs.
Determinants of student adoption of artificial intelligence applications in higher education
Scientific Reports · 2025 · Q1 · FWCI 70.17 · 36 citations · Open access
Readiness, interactivity, and ethical awareness significantly drive undergraduate students' adoption of AI applications in higher education, while trust and performance do not.
Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation
ACM Computing Surveys · 2026 · Q1 · SJR 5.00 · FWCI 67.47 · 8 citations
Large language models are poised to transform scientific research by assisting in literature search, idea generation, experimentation, content creation (text and figures), and evaluation (e.g., peer review).
Explainable AI Transparency, Algorithmic Trust, and Privacy Calculus in Mobile Banking: A Generation Z Study of Continuance Intention and Digital Financial Well-Being in the United States
Journal of theoretical and applied electronic commerce research · 2026 · Q1
Explainable AI (XAI) transparency significantly predicts Gen Z mobile banking continuance intention and digital financial well-being, though in opposite directions. Algorithmic trust positively predicts both outcomes, while privacy calculus risk also positively predicts both, albeit with caution due to reliability and multicollinearity issues.
When compliance culture fails to curb incivility: leadership mechanisms and organizational culture across key industries
International Journal of Bank Marketing · 2026 · Q1 · SJR 1.00
Visible leadership commitment, not just formal rules, is the primary driver of employee whistleblowing intentions, mediating 71% of the effect of organizational compliance.
Investigating Key Factors Influencing Students’ Acceptance and Satisfaction with a Block Model E-Learning System: An Integrated SEM-Neural Network Approach
Technology Knowledge and Learning · 2026 · Q1 · SJR 1.00
A study of 974 students found that system, information, and service quality significantly drive acceptance and use of e-learning block models, with perceived usefulness directly impacting satisfaction.
Leveraging the Untapped Potential of Research Conversations
Innovative Higher Education · 2026 · Q1
Students value research participation when given opportunities for member-checking, advocacy, and reflection, which counteracts the industrial logic of higher education.
CSCProv: causal-semantic consistent provenance graph compression for attack detection
Cybersecurity · 2026 · Q1 · SJR 1.00 · Open access
CSCProv compresses provenance graphs by up to 30x, preserving attack-critical dependencies and improving detection efficiency by 32.7-48.3% with negligible accuracy loss.
Engineering Ethics in Comparative Perspective
Engineering Studies · 2026 · Q1
An emerging theme of engineering ethics was identified in submitted manuscripts, indicating growing significance in the field.
Generative AI for NSF Grant Prewriting: Zero-Shot Protocol Prompting for Tactical Competitive Intelligence
Journal of Library Administration · 2026 · Q1
A new generative AI workflow, zero-shot protocol prompting, transforms NSF award abstracts into competitive intelligence for grant planning, identifying patterns in methods, impacts, and framing without drafting proposal text.
When engagement becomes numbness: how hedonic content design shapes digital brand engagement in subscription platforms
Cogent Business & Management · 2026 · Q2
Pleasure-driven design features on OTT platforms increase binge-watching (β = 0.354), leading to emotional numbness (β = 0.537), which then decreases digital brand engagement (β = −0.408).
Toward Minimum Sufficient Information for Representing Variable Operationalization in Quantitative Research: A Functional Parsimony Framework
Measurement Interdisciplinary Research and Perspectives · 2026 · Q2
A new functional parsimony framework identifies a core set of four essential functions (variable, operational referent, final values, value structure) for minimally sufficient representation of variable operationalization in quantitative research.
Twelve quick tips for designing AI-driven HPC workflows
PLoS Computational Biology · 2026 · Q1 · SJR 1.00
This guide offers twelve practical tips for designing efficient, scalable, and reproducible AI-driven High-Performance Computing (HPC) workflows, addressing challenges like data gravity and resource management introduced by AI's iterative and probabilistic nature.
Insights into the Datasets, Tools, and Training Needs of the AnVIL Community: 2024
F1000Research · 2026 · Q1
A poll of the AnVIL community identified a need for enhanced training, particularly for clinical researchers, and highlighted opportunities to increase platform adoption by showcasing resources for cost management and data import.
Recently added
What factors build user trust in human–technology relationships? An exploratory meta-analysis of the key antecedents to trust in IT artifacts
Information Technology and People · 2026 · Q1 · SJR 1.00
A meta-analysis of 374 studies reveals that human- and system-like trusting beliefs (ability, benevolence, reliability, helpfulness), technology acceptance factors (perceived enjoyment, usefulness), and system characteristics (security, privacy) are crucial for building user trust in IT artifacts.
Whither Conservative Business Ethics? Addressing the Puzzling Absence of Conservative Thought in Business Ethics
Journal of Business Ethics · 2026 · Q1 · SJR 3.00
Conservative thought, particularly from figures like Burke, Oakeshott, and Scruton, is largely absent from business ethics scholarship, despite potential affinities with libertarianism, market failures, and virtue ethics.
From adoption to engagement: post-adoption drivers of SME E-market use in a developing economy
Journal of Enterprise Information Management · 2026 · Q1 · SJR 1.00
Six factors—organizational governance, competitor/stakeholder pressure, organizational readiness, trust in e-market security, and perceived relative advantage—significantly drive deeper engagement with e-market platforms among Vietnamese SMEs, while factors like usability and compatibility, crucial for initial adoption, become insignificant post-adoption.
Ethical nudges and organisational misconduct: A sequential mixed-methods study among Iranian universities
Social Sciences & Humanities Open · 2026 · Q1
Ethical nudges significantly correlate with reduced self-reported organisational misconduct (β = −0.54, p < 0.001) in Iranian universities, suggesting they can complement traditional controls.
Twelve quick tips for designing AI-driven HPC workflows
PLoS Computational Biology · 2026 · Q1 · SJR 1.00
This guide offers twelve practical tips for designing efficient, scalable, and reproducible AI-driven High-Performance Computing (HPC) workflows, addressing challenges like data gravity and resource management introduced by AI's iterative and probabilistic nature.
Insights into the Datasets, Tools, and Training Needs of the AnVIL Community: 2024
F1000Research · 2026 · Q1
A poll of the AnVIL community identified a need for enhanced training, particularly for clinical researchers, and highlighted opportunities to increase platform adoption by showcasing resources for cost management and data import.
CSCProv: causal-semantic consistent provenance graph compression for attack detection
Cybersecurity · 2026 · Q1 · SJR 1.00 · Open access
CSCProv compresses provenance graphs by up to 30x, preserving attack-critical dependencies and improving detection efficiency by 32.7-48.3% with negligible accuracy loss.
Generative AI for NSF Grant Prewriting: Zero-Shot Protocol Prompting for Tactical Competitive Intelligence
Journal of Library Administration · 2026 · Q1
A new generative AI workflow, zero-shot protocol prompting, transforms NSF award abstracts into competitive intelligence for grant planning, identifying patterns in methods, impacts, and framing without drafting proposal text.
Journals in this field
The journals that publish most of this field’s papers. Quartile (Q1–Q4), SJR and h-index are from SCImago Journal Rank; “in this field” is how many of the journal’s pooled papers belong here. What is a Q1 journal? · What is the h-index?
| Journal | Quartile | SJR | h-index | In this field | Summaries |
|---|---|---|---|---|---|
| Nature | Q1 | 19.00 | 1495 | 1 | 48 |
| Organization Science | Q1 | 7.00 | 308 | 1 | 3 |
| ACM Computing Surveys | Q1 | 5.00 | 260 | 1 | 17 |
| Journal of Business Research | Q1 | 3.00 | 322 | 1 | 3 |
| PLOS Computational Biology | Q1 | 1.00 | 237 | 1 | 4 |
| Technology, Knowledge and Learning | Q1 | 1.00 | 52 | 1 | 3 |
| Cybersecurity | Q1 | 1.00 | 37 | 1 | 3 |
| Scientific Reports | Q1 | — | 382 | 1 | 170 |
Every journal in Information Systems and Management (Q1–Q4) →
Add this field to your daily feed
Pick your interests and new work in your area arrives every day, summarised. Full summaries live in the app.
Open the app