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AMCIS2025 Awards Ceremony
No full textThis is video recording of the AMCIS 2025 Awards Ceremony on-site that took place on Saturday, August, 16, 2025. This includes presentation of the AMCIS Outstanding Conference Leadership Awards and the AMCIS 2025 Best Paper Awards
ADOPTING DEVSECOPS: A FRAMEWORK FOR IT GOVERNANCE AND CULTURE CHANGE BASED ON A PLAN-DO-CHECK-ACT (PDCA) APPROACH
Get PDFAs digital transformation accelerates, organizations increasingly turn to agile software development and deployment practices like DevOps. However, incorporating security into these processes through DevSecOps presents significant challenges, particularly in cultural adaptation and alignment with IT governance. This study explores the challenges of adopting DevSecOps from two crucial perspectives: organizational culture and IT governance. Through a thorough literature review and the development of a conceptual framework, we identify human-related barriers such as resistance to change, lack of awareness, and communication gaps, along with governance-related constraints such as inadequate policies, misalignment of risks, and compliance issues. To tackle these challenges, we propose a Plan-Do-Check-Act (PDCA) implementation model that provides a practical approach for transforming organizational culture and improving IT governance. This approach aims to bridge the gap between development, security, and operations while aligning with strategic business objectives. Future research in this field could include empirically validating the model through case studies
Digital Transformation Against the Odds: Insights on Frugal, Government-Led, and Responsible Digital Transformation from an Ethiopian Bank
Get PDFMany organizations are undergoing digital transformation. However, literature often assumes a substantial influence from consumers, competitors, technology institutions, and organizational resource endowment. These assumptions may not necessarily apply to the digital transformation initiatives in Sub-Saharan Africa and other low-income economies. In response to the call for research to challenge the unexamined assumptions of digital transformation and develop contextualized theoretical contributions, this study explores the processes, enablers, inhibitors, and outcomes of digital transformation through a case study of a bank in Ethiopia (henceforth EtBank). Over the past decade, EtBank has transformed from a cash-intensive, branch-based, brick-and-mortar bank to a digital bank offering niche mobile money services, conducting most retail transactions electronically, and contributing to digital financial inclusion. All of this augurs well for future change. Based on insights from EtBank\u27s experience, the study presents a process theory that frames digital transformation as deeply influenced by historical and contextual factors, the interaction between organizational capabilities and frugal innovation, and the role of institutions as enablers and inhibitors. The study contributes to the literature on responsible and government-led digital transformation, underscoring the significance of historicity and context in the process. Additionally, it offers valuable guidance for other organizations embarking on similar digital transformation journeys
THE ROLE OF AI-POWERED PERSONALISATION THROUGHOUT THE PURCHASE DECISION-MAKING PROCESS ON ONLINE MARKETPLACES
Get PDFThis study explores the role of Artificial Intelligence (AI)-powered personalisation tools in facilitating consumers’ purchase decision-making process within the online shopping environment. Recently, there has been a rapid growth in online shopping, and retailers have adopted AI-powered personalisation tools such as recommendation systems, chatbots and dynamic pricing to assist and support their consumers with the purchase decision. The techniques and tools required to achieve personalisation have been studied, however, their influence and supportive role during the consumer decision-making journey remains unexplored. The research addresses this gap by assessing how AI-powered personalisation tools facilitate the purchase decision from the problem recognition phase to the post-purchase phase. The findings from the research suggest that AI-powered personalisation can provide valuable support throughout four of the five phases of the consumers’ decision-making process through tools AI-powered personalised recommendations, AI-driven contextual recommendations and comparison tools, AI-driven comparison analysis tools, AI-driven personalised reminders and in-cart recommendations. However, tools like AI-driven chatbots and Dynamic pricing are deemed as less relevant by consumers. Post-purchase, AI support is not particularly effective for consumers, who find AI-driven chatbots and review requests to be unhelpful in handling complex queries. The findings emphasise the importance of AI-powered personalisation but also raise a need for improvements to align with customer expectations
PREDICTING LEARNING STYLES WITH AI: TOWARD ADAPTIVE AND PERSONALIZED EDUCATION
Get PDFArtificial intelligence holds significant potential for enhancing adaptive learning environments. However, effective personalization requires a deep understanding of individual learner characteristics, particularly their preferred learning styles. This study presents an Artificial Neural Network (ANN) - based model, aligned with the VARK framework (Visual, Auditory, Reading/Writing, Kinesthetic), to identify student learning preferences using survey data collected from 700 students across schools, colleges, and universities in Bangladesh. A hybrid architecture combining multi-label classification and multi-output regression was employed to predict both the dominant learning styles and the degree of preference for each. The ANN outperformed traditional machine learning algorithms - including Support Vector Machine, Random Forest, Decision Tree, and K-Nearest Neighbors - achieving an F1-score of 0.92 and R2 score of 0.96. Performance further improved with the integration of K-Means clustering, boosting the F1-score to 0.96. The regression component of the model provides a percentage-based prediction of how strongly a student prefers each learning style, offering a more granular and nuanced understanding of individual preferences. Compared to conventional approaches, this multiheaded approach is more flexible and informative, enabling the early identification of learning styles and facilitating the development of personalized educational content prior to course delivery
Teaching Tip: Adventure RPG: A Text Adventure Game for an Introductory Java Programming Course
Get PDFEngaging students in rudimentary programming concepts is challenging when code examples do not yield practical payoff or are otherwise uninteresting. The purpose of Adventure RPG is to enable students to utilize first-semester object-oriented programming concepts to build a text adventure game. In this paper, we describe the incremental development and modular deployment that characterize the game’s introduction into the course curriculum. In its earliest stages, the game welcomes players and asks them to select a lineage for their heroes. In its final stage, it is a fully functioning text adventure game utilizing selection statements, loops, methods, classes, objects, arrays, and file input/output. A survey of 60 students revealed that a majority of students scored the activity as highly valuable and self-reported high scores for positivity and participation in the Adventure RPG live-coding activities, while also reporting low levels of perceived distraction. The project provides ample opportunities for co-creation and incorporation of student-sourced enhancement ideas. Given the importance of live coding in delivering content in programming courses, this teaching tip provides student-supported content to refresh instructors’ live coding exercises and enhance curriculum in introductory Java programming courses
A Content Analysis of Business Job Advertisements Using Data Mining Techniques
Get PDFUniversities and educators need to stay abreast of the rapidly changing job market to prepare students to be market ready. There is a growing disconnect between the education higher institutions offer and the skills employers seek. In this paper, through a content analysis of job advertisements using data mining techniques, we identify patterns underlying technical competencies for business jobs by discipline and location. We provide both a visualization as well as a descriptive analysis of our findings. Our findings highlight sought after technical skills such as programming languages and data analytics tools, as well as the regional variation in job availability. The findings underscore the importance of updating university curricula to align with market demands, providing actionable insights for students, educators, employees, and policymakers
GENERATIVE AI IN GAMIFIED CYBERSECURITY EDUCATION: UNLOCKING NEW LEARNING POSSIBILITIES
Get PDFThis study examines how generative AI can simplify the integration of gamification into classroom-based cybersecurity education. While gamification is effective in engaging students, its use in classroom settings is limited due to instructor workload. To address this, five AI-powered gamified labs were developed for a network security course, incorporating task scenarios, self-guided exercises, rewards, leaderboards, and tailored feedback. The research evaluates the benefits and challenges of using AI to enhance gamification and its impact on cybersecurity education
EXPERIMENTAL EVALUATION OF PERCEIVED MEMORABILITY IN KNOWLEDGE BASED AUTHENTICATION FOR VIRTUAL AND AUGMENTED REALITY
Get PDFWith the recent advances in Augmented and Virtual Reality technologies (AR/VR), these devices have reached a point of being available for mainstream use. This can be seen in current generation AR/VR devices such as the Meta Quest series, the Apple Vision Pro and Microsoft Hololens devices. These wearable devices change the assumptions about I/O that exist in the traditional model of computing, namely the use of input peripherals such as the keyboard and mouse. Despite this change, traditional artifacts that have remained prevalent in computing for decades have been ported into the AR/VR space, specifically the traditional text-based password as a form of Knowledge Based Authentication (KBA). This paper proposes a new measure in the context of KBA, perceived memorability and differentiates it from empirical memorability. This new measure is evaluated through a randomized controlled experiment that evaluates a novel KBA scheme designed for AR/VR, and assessed for reliability and validity using Cronbach’s alpha and principle component analysis respectively. We find that this measure shows ideal characteristics, and has potential for use in better understanding why users choose to engage in insecure authentication related behavior
RECOMMENDATIONS FOR TELECONSULTATION IMPLEMENTATION FOR HEALTHCARE PROVIDERS: A SYSTEMATIC LITERATURE REVIEW
Get PDFThe COVID-19 pandemic has significantly accelerated the adoption of teleconsultation. This study aims to conduct a systematic review of recent research to distil recommendations for implementing teleconsultation service from the perspective of healthcare providers. Utilizing the Technology-Organization-Environment (TOE) framework, the research identifies technological, organizational, and environmental factors that are critical to its successful implementation. Key findings emphasize the importance of reliable technical infrastructure, comprehensive IT support, strategic partnerships, and clearly defined guidelines. By addressing these dimensions, healthcare providers can have a foundation to integrate teleconsultation into routine practices and ensure its sustainability beyond the pandemic