Management Information Systems Commons^™

Digital Mindset Efficacy For Human-Ai Career Readiness, Frank Lin, Conrad Shayo

Communications of the IIMA

This article develops digital mindset efficacy as a key capability for human-AI career readiness. It argues that success in AI-shaped workplaces requires not only technical tool use but also the confidence and capacity to learn with, evaluate, collaborate with, and responsibly govern digital and AI systems. Drawing on digital mindset, digital intelligence, AI proficiency, self-efficacy, and life-skills literature, the article proposes a theory-based model linking digital mindset efficacy to AI proficiency and life skills through mastery experience, vicarious learning, social persuasion, and affective regulation. It illustrates the model through a General Education course, Leadership for Global Challenges: Exploring the Digital …

Twenty Years Later: Measuring The Accessibility Of The U.S. State Government Websites, Tanya Goette, Sean Lynch

Communications of the IIMA

Web accessibility remains an important issue as individuals rely on Internet access and web site accessibility for daily functions. It is an unwritten rule that people should access an organization’s website to search for answers before calling to ask a human (or a bot). Over twenty years ago, in 2005, a study (White, Goette, & Young) was conducted to analyze the accessibility of state government web sites. The assumption was made that state governments should be setting an example of following accessibility guidelines. The study found that about a third of the home pages did not meet basic accessibility guidelines. …

Beyond Ai Literacy: Developing And Validating A Reflective Human–Ai Learning Scale In Higher Education, Alison Munsch Phd

Communications of the IIMA

Generative artificial intelligence (GenAI) is transforming higher education, yet current AI literacy frameworks primarily assess what students know about AI and how they use it rather than how they think while learning with AI. This paper introduces Reflective Human–AI Learning (RHAL), a complementary construct that captures the quality of students' reflective cognition while collaborating with AI. Drawing upon AI literacy, metacognition, significant learning, critical thinking, and self-regulated learning, the study proposes a multidimensional instrument and outlines a rigorous psychometric validation process. The resulting scale is intended to complement—not replace—existing AI literacy measures by assessing reflective judgment, intentional inquiry, and ethical …

When Does Global Search Pay For Itself? A Measured Exploration Cost And Energy Break-Even Analysis Of A Metaheuristic Search Controller In Solar Energy Systems, Mohamed Ali Muammar Ezgour

Communications of the IIMA

Autonomous energy systems increasingly delegate the choice of operating point to embedded search algorithms, trading a fast local optimizer that can settle on a wrong point against a slower global search that guarantees the right one at a measurable cost. This paper reframes maximum power point tracking under partial shading as that decision and measures its economics on a fixed photovoltaic plant in MATLAB/Simulink. A Hippopotamus Optimization global search handed over to incremental conductance is compared with incremental conductance alone across seventeen initial duty cycles and thirty random seeds. The hybrid reached the global peak in all thirty seeds, whereas …

The Nine-Block Pyramid: A Structural Framework For Cultivating An Ai Adoption Mindset Culture At Enterprise Scale, Ahmad Masri

Communications of the IIMA

Enterprise artificial intelligence (AI) adoption is nearly universal in name but shallow in practice: a large majority of organizations now use AI in at least one business function, yet only a small minority have scaled it enterprise-wide, and leadership commitment rather than technology is repeatedly cited as the binding constraint. This conceptual paper argues that AI adoption is fundamentally a mindset-culture problem, not a tooling problem, and proposes a nine-block pyramid as a practical framework describing a sequencing heuristic, anchored in established organizational-behavior theory, for the cultural conditions an enterprise should build to sustain an AI adoption mindset: (1) Enterprise …

Ai Slop In The Generative Ai Era: Uncovering Hidden Costs For Information Quality, Trust, And Human-Centered Systems, Blenda G. Mutuma

Communications of the IIMA

The rapid proliferation of generative AI tools has fundamentally altered the volume, velocity, and perceived quality of information produced across academic and professional settings (Bommasani et al., 2021; Stanford Institute for Human-Centered Artificial Intelligence [HAI], 2025). Yet this expansion has introduced a critical and underexamined threat to sustainable information ecosystems: what this paper formally terms AI slop ; defined as AI-generated content that achieves surface-level plausibility while offering limited substantive value, accuracy, or contextual depth. At scale, AI slop degrades information quality and erodes institutional trust (Bender et al., 2021; Weidinger et al., 2021). More critically, it generates what this …

Ai-Assisted Software Development And The Change Of Organizational Rhythms, Jarl Tuxen, Morten Boesen, Sarah O'Neill

Communications of the IIMA

Based on a qualitative study of a Danish NGO collaborating with an AI-enabled software vendor, this paper examines how the speed of AI-assisted software development challenges established organizational rhythms of evaluation and governance. The preliminary analysis suggests that AI-assisted development not only accelerates software production but also destabilizes established mechanisms for evaluation, responsibility allocation, and legimitization in software development projects.

From Data To Decision-Making: The Role Of Local Digital Twins In Cross-Domain Management Within Municipalities – A Research-In-Progress Study In Veenendaal, Diana M.E. Boekman, Koen Smit, Guido Ongena, Rob Peters

Communications of the IIMA

Municipalities are facing increasingly complex, interconnected challenges in areas like housing, climate adaptation, mobility, and social policy. Local Digital Twins (LDTs) are seen as a promising tool to make this complexity more understandable and support decision-making. At the same time, both literature and practice show that few initiatives get past the pilot phase, even though getting through that phase is essential for successful long-term adoption.

This paper presents a research-in-progress study on the development and application of an implementation method for LDT technology within the municipality of Veenendaal, based on human values rather than driven by technological possibilities. Based on …

Progress Without Consent: Ai Deployment And The Democratic Legitimacy Gap, Engin Obucic, Ekrem Nurovic, Mersid Poturak

Communications of the IIMA

Drawing upon critical and technology studies, this conceptual provocation introduces the concept of “Progress without Consent”, referring to the introduction of AI technological innovation into society without collective societal deliberation, legitimacy and consent. The paper problematises the introduction of structurally transformative AI technology into society, the strategy of depolitisation of this technology, robotic automation of society without social mandate, and the manner in which technological innovation moves faster than democratic institutions can process its implications on societal structures. Ultimately, the authors argue, the development and deployment of AI does not belong to isolated labs and the private sphere of technological …

Designing Classifact: Towards A Transparent And Secure Platform For Stakeholder-In-The-Loop Data Annotation, Philippine Waisvisz

Communications of the IIMA

AI systems depend on human judgment, yet many annotation workflows are either designed for data-science specialists or managed through external commercial platforms. The first approach may demand more technical skills than relevant stakeholders possess. The second can require organizations to transfer data, expertise, and governance to an outside provider. Both can limit the involvement of people who understand what data means in its real-world context. Human-in-the-loop approaches introduce human judgment. Stakeholder-in-the-loop annotation focuses on selecting and organizing people whose contextual knowledge fits the AI application.

This paper presents Classifact, a transparent and secure platform for stakeholder-in-the-loop data annotation and validation. …

A Novel Entropy Based Maintainability Measurement Algorithm For Java Source Code., Remi M. Yusuf Mr, Md Shadab Mashuk, Julian Bass

Communications of the IIMA

Software metrics play a central role in assessing and managing the quality of software systems providing quantitative insights into attributes such as complexity, reliability, rigidity, modifiability and maintainability. Among these, maintainability is particularly critical, as it directly influences the ease of system evolution, long-term sustainability, and overall cost effectiveness. Despite the widespread use of metric-based maintainability measurement algorithms, capturing a value that reflects the maintainability situation of software source code remains a challenging task, especially in the presence of design deficiencies such as code smells. To measure changes in maintainability, this study experimentaly characterises the relationship between code smells and …

Which Cultural Values Influence The Success Of Process Implementations Within Sme Service Oriented Organizations In The Netherlands?, Dennis Monkel, Benny De Waal, Pascal Ravesteijn

Communications of the IIMA

Digitalization has shifted Business Process Management (BPM) from a technical discipline toward a stronger emphasis on culture, behaviour and organizational knowledge. Yet little is known about which cultural values support process implementation in SMEs. This study examines how BPM culture influences process implementation success in Dutch service-oriented SMEs, drawing on six values: customer orientation, excellence, responsibility, teamwork, innovation, and results orientation. A qualitative multiple case study was conducted across four SMEs, based on thirteen semi-structured interviews and the Organizational Culture Assessment Instrument (OCAI). While implementation success was assessed through employee acceptance, actual use and structural embedding. The findings show that …

From Dissertation To Deployment: A Unified Software Platform Operationalizing Clinical-Prediction And Sequential-Security Ai For Healthcare, Olsi Shehu, Damiana Teliti, Jasmin Kevrić, Bekir Karlik

Communications of the IIMA

Advances in machine learning for healthcare are abundant, yet most validated models remain confined to research notebooks and never reach secure, usable clinical software. This paper addresses that deployment gap by presenting a unified, security-hardened software platform that operationalizes two complementary streams of doctoral research inside a single, role-based hospital information system. The first stream contributes a clinical-prediction capability: an ultra-hybrid ensemble that couples a quantum-inspired feature transformation, particle-swarm feature selection, and calibrated soft voting for cancer-outcome prediction (96.41% accuracy, AUC-ROC 0.983 on TCGA-BRCA), survival stratification, multi-cancer generalization, and pharmacogenomic drug-response classification (89.31% mean accuracy across 25 compounds). The second …

Scaling Down Safe: Can The Scaled Agile Framework Be Adopted By Small And Medium Enterprises? A Multiple Case Study, Ritchie Piessens, Pascal Ravesteyn, Benny De Waal

Communications of the IIMA

The Scaled Agile Framework (SAFe) has gained significant traction in recent years as a strategy to mitigate the risks associated with traditional front-end planning, which often results in downstream development challenges. The adoption of SAFe is not common for Small- and Medium Enterprises (SMEs), as its implementation is often perceived as complex, time-consuming and resource-intensive. However, the application of SAFe can add value for SMEs as well, when adapted and scaled down for use in those organisations. This qualitative multiple case study was undertaken to deepen our understanding of the applicability of the seven core competencies of SAFe in business …

Skill Evolution In The Age Of Ai-Utilizing Text Analytics For Skill Gap Analysis To Prepare Women For Leadership Roles, Blenda G. Mutuma, Marcelline Ouma, Beth Kanyiri

Communications of the IIMA

ABSTRACT
The rapid advancement of Artificial Intelligence (AI) is transforming the global workforce, presenting both opportunities and challenges for leadership development, particularly for women. As AI automates routine tasks and redefines skill requirements, there is a growing demand for uniquely human capabilities such as emotional intelligence, creativity, and strategic thinking, qualities that are inherently strong and often highly associated with women. Research indicates that women typically score higher in emotional intelligence, particularly in areas such as empathy and relationship management, which are critical for effective leadership (Goleman, 2020). Furthermore, studies by McKinsey & Company (2022) highlight that gender-diverse leadership teams, …

Beyond The Classroom: Competition Competency Creates Cybersecurity Careers (5cs), Dan Manson, Morgan A. Zantua, Zoe L. Fowler

Communications of the IIMA

ABSTRACT

The demand for cybersecurity talent appears to be constantly growing^[1], but the statistics can be illusory. According to Wages and Employment Trends in ONET On-Line^[2] cybersecurity job openings are ranked as having a Bright Outlook, and on May 1 2025 Cyberseek listed 450,000 US job openings out of a workforce of 1.25 million. However, most entry-level cybersecurity jobs require several years of experience resulting in a mismatch between supply and demand. Despite a “hot job market”, recently minted cybersecurity college graduates without experience have a hard time securing their first “entry-level” because they don’t meet the …

Responsible Ai: Applications And Ethical Considerations, Emuesiri Oduaran, Skye Ese Oduaran

Communications of the IIMA

As artificial intelligence (AI) rapidly transforms industries and societies, its applications present both immense opportunities and significant ethical challenges. This paper explores the concept of Responsible AI, emphasizing the importance of integrating ethical considerations into AI development and deployment. It examines a range of AI applications, from healthcare and finance to autonomous systems, highlighting their potential to drive innovation while also raising concerns about bias, privacy, accountability, and job displacement. The paper evaluates the ethical principles that should guide AI design, including transparency, fairness, privacy protection, and human oversight. Furthermore, it critically analyzes the current landscape of AI governance, identifying …

Enhancing Sarcasm Detection With Contextual Factors For Improved Model Robustness Based On Bmlrf, Walter O. Yodah, Alice S. Mataruse, Never O. Kangara

Communications of the IIMA

Detecting sarcasm in text remains a critical yet challenging task in natural language processing (NLP). Despite significant advances through deep learning, particularly the use of transformer-based architecture like BERT, sarcasm detection models still face challenges in achieving high accuracy. A major limitation lies in their insufficient incorporation of contextual awareness, including conversational history, social inter- actions, emotional cues, and cultural factors. To address this, this paper proposes the BERT with Meta-Feature Logistic Regression Fusion (BMLRF) model, which in- tegrates sentence-level embeddings from a pre-trained transformer with meta-features capturing social, emotional, and cultural contexts. The model also leverages multi-turn dialogue history …

Adoption Of Blockchain Technology In Beverage Supply Chains: Drivers, Benefits, And Challenges In The Coca-Cola And Bodyarmor Sport Water Recall Case, Alexander Adams Jr., Nima Molavi

Communications of the IIMA

The beverage industry faces growing scrutiny as demands for transparency and accountability intensify. In today’s digital landscape, companies must prioritize enhanced traceability to ensure product safety, comply with regulations, maintain consumer trust, and safeguard brand reputation. This research investigates blockchain technology as a potential solution to these challenges, emphasizing its capacity to decentralize data, improve traceability, and accelerate response times during safety recalls.

The study traces the evolution of food safety regulations and analyzes current traceability practices and technological innovations within the beverage sector. Using the Coca-Cola and BODYARMOR Sport Water recall as a case study, this study examines drivers, …

An Empirical Investigation Into The Effect Of Brain Drain “Japa Syndrome” On Agile Practitioners Developing Healthcare Information Systems Software In Nigeria, Yazidu Buba Salihu, Julian M. Bass, Gloria E. Iyawa

Communications of the IIMA

Within the software engineering context, agile approaches encourage customer collaboration, iterative development, and flexibility. However, the mass exodus of highly skilled professionals, known as the “brain drain” or "Japa Syndrome," has emerged as a significant challenge, especially in Nigeria. This phenomenon has particularly impacted agile software development practitioners by undermining project continuity, knowledge transfer, and team dynamics. This study empirically examines the effect of brain drain, “Japa Syndrome,” on agile practitioners developing healthcare information systems software in Nigeria. It employed a qualitative, multi-method approach to gather empirical data from 13 agile practitioners in Nigeria’s healthcare information systems sector. The study …

Exploring Ai Corporate Governance Through The Lens Of Dynamic Capabilities, Albert Samigullin, Paul Dooley

Communications of the IIMA

As AI technologies evolve, organizations must continuously adapt their governance structures to address emerging challenges related to transparency, ethics, and regulatory compliance. Given the rapid pace of AI advancements, traditional governance approaches may not be sufficient to ensure responsible AI oversight while maintaining competitiveness. This research examines AI corporate governance through the lens of Dynamic Capability (DC) Theory, focusing on how organizations can develop the capacity to sense technological and regulatory shifts, seize opportunities, and reconfigure governance mechanisms to align with AI-driven transformation. Through a literature review and the development of an AI Corporate Governance Framework grounded in DC Theory, …

Sustainable Enterprise Architecture: Embedding Circular Economy And Lifecycle Thinking In It Strategy, Sai Chandrahas Kaveripakam, Frank Lin

Communications of the IIMA

This paper explores the integration of sustainability into traditional Enterprise Architecture (EA), proposing a novel Sustainable Enterprise Architecture (SEA) model, and uses the fashion industry to illustrate the efficacy of the proposed model. The SEA framework systematically embeds environmental, social, and economic sustainability principles into corporate strategy and operational practices. This research also addresses the significant intention-action gaps among consumers and organizations in sustainability practice. Through vivid case examples, such as MUD Jeans' leasing model and Pact's affordable circular apparel, this research highlights practical pathways for operationalizing sustainability. By leveraging Circular Economy (CE) and Product Life Cycle (PLC) concepts, SEA …

Table Of Contents, Ciima 2024 Proceedings

Communications of the IIMA

Table of Contents IIMA conference proceedings 2024

Ethical Dilemmas And Solutions In The Adoption Of Ai Technologies In Supply Chain, Mohammad Reza Sadeghi Moghadam, Taha Mansouri, Iman Ghasemian Sahebi

Communications of the IIMA

As organizations increasingly adopt artificial intelligence (AI) technologies to optimize their supply chain operations, they face a growing set of ethical challenges that demand careful consideration. This study explores the key ethical dilemmas and potential solutions in implementing AI within the supply chain context, drawing insights from in-depth interviews with a diverse group of experts. The thematic analysis of the interview data revealed four primary ethical dilemmas: algorithmic bias and discrimination, lack of transparency and explainability, privacy and data ethics issues, and the socioeconomic impacts of AI-driven automation. To address the dilemmas, this study identified various mitigation strategies, including techniques …

Integrating Values In Dutch Music Copyright: A Q Methodology Study, Nerko Hadziarapovic, Pascal Ravesteyn, Marlies Van Steenbergen

Communications of the IIMA

This research investigates the integration of stakeholders' values into the digital frameworks of Collective Management Organizations (CMOs) within the Dutch music copyright system. Utilizing Q methodology, the study captures diverse perspectives from composers, lyricists, publishers, and CMO representatives on values, value tensions, norms, and system requirements. A pilot study with four experts tested data collection methods and refined the study design for a larger, follow-up study involving 30 participants. Preliminary findings, based on factor analysis of participant rankings of 30 statements, reveal two distinct perspectives: one focused on "Fairness and Accountability," emphasizing trust-building and equitable treatment, and the other on …

A Non-Invasive Mental Health Risk Predictor Using Machine Learning Models Utilising Music Listening Habits

Communications of the IIMA

Globally, there has been a rise in mental health issues such as insomnia, anxiety, and depression. However, the stigma that is associated with such a diagnosis makes individuals not want to seek help. Recent research has explored the relationship between music listening habits and mental health status, offering promising insights into the potential of leveraging this data for predictive modelling. This research proposes a non-invasive approach that integrates features extracted from music listening patterns including demographic and lifestyle data to build machine learning models that detect mental health conditions such as insomnia, depression and anxiety levels The results show that …

On Legislating Cybercrime: Nigerian, South African, And United Kingdom Perspectives, Sagwadi Mabunda, Roland Akindele

Communications of the IIMA

Cybercrime has evolved to be a menacing challenge to all the countries of the globe. Consequently, it has become necessary for effective laws and policies to be enacted and implemented globally. This paper aims to review the cybercrime legislation of three jurisdictions: Nigeria, South Africa, and the United Kingdom (UK), to examine how each country has conceptualised and legislated cybercrime. The paper begins with a discussion on the definitional considerations necessary for legislating cybercrime. It draws from the Council of Europe Convention on Cybercrime (Budapest Convention) as the primary international convention on cybercrimes, to analyse some of the specific provisions …

Augmenting Legal Expertise: The Role Of Ai In Enhancing Human Capabilities In Legal Services

Communications of the IIMA

This study explores the dynamics of digital transformation within the legal services

industry, focusing on the integration of artificial intelligence (AI) to augment

human capabilities. By examining the interplay between institutional norms and

technological innovations, this research aims to understand how AI disrupts

traditional legal practices while maintaining ethical standards and promoting

equitable access to justice. Employing a qualitative content analysis, this research

analyzes data from international news sources spanning April 2011 to March 2021.

The study examines the roles of key industry actors, identifies barriers to digital

adoption, and explores the implications of digitalization for competition within the

legal …

The Intricate Dance Between Stars And Words: A Review Of Customer Reviews In Tourism

Communications of the IIMA

Travel and tourism industries rely heavily on customer reviews from past travelers as an invaluable source for informing potential travelers’ decisions. Thanks to the internet, reviews are an invaluable source for both quantitative star ratings as well as qualitative text comments that evaluate travel experiences. In this paper we analyse this complex relationship between text comments and their associated star ratings; using existing literature we highlight their interplay to give an overall picture of customer satisfaction. Factors that influence ratings and comments include both intrinsic (service quality, staff behavior) and extrinsic aspects such as location or price. Sentiment analysis through …

How Can Researchers Be Influenced To Comply With Guidelines Of Research Data Management?, Rowena Van Houwelingen, Guido Ongena, Pascal Ravesteyn

Communications of the IIMA

How come Open Science is a well-shared vision among research communities, while the prerequisite practice of research data management (RDM) is lagging? This research sheds light on RDM adoption in the Dutch context of universities of applied sciences, by studying influencing technological, organizational, and environmental factors using the TOE-framework. A survey was sent out to researchers of universities of applied sciences in the Netherlands. The analyses thereof showed no significant relation between the influencing factors and the intention to comply with the RDM guidelines (p-value of ≤ .10 and a 90% confidence level). Results did show a significant influence of …