AIS Electronic Library (AISeL)
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Teaching Tip: Simulated Interface for Management and Collaborative Decision Systems: A Computer-Based Supply Chain Application for Teaching Information Transparency
No full textThis teaching tip presents the Simulated Interface for Management and Collaborative Decision Systems (SIMCDS), an Excel-based simulation designed to teach the role of information transparency in strategic supply chain decision-making. In the activity, students assume the roles of Manufacturer, Distributor, and Retailer, managing inventory decisions under both limited and full information-sharing conditions. The simulation illustrates how transparency affects service levels, costs, and overall system coordination. Implemented in an undergraduate strategic management course, SIMCDS was associated with measurable increases in students’ self-reported understanding of data-driven collaboration and inter-node decision-making. By combining active learning with realistic supply chain dynamics, the tool reinforces key operational concepts and aids experiential exploration of transparency’s strategic value
Investigating Effects of Telepresence and Social Presence in Online Courses
No full textWhile online learning has become a pivotal component of higher education, little research attention has been paid to understanding and dealing with the challenges of online learning. In this study, we aim to better understand the impact of communication technology on online learning in terms of telepresence and social presence, noting in particular that telepresence is unique to online learning environments and absent in face-to-face settings. This study proposes a research model to explore how interactive communication technology can drive telepresence and social presence and how those presences are associated with engagement and satisfaction in online learning. Data were collected from online business analytics courses in which interactive communication technology was required for class communication and collaboration. Results show that telepresence and social presence, driven by interactive communication technology, significantly impact engagement and satisfaction in online learning, and the effects of telepresence are fully mediated by social presence. The study also reveals that gender moderates the relationship between telepresence and social presence. These findings contribute to the literature by identifying telepresence and social presence as key factors for improving online learning experiences and outcomes
Market Trends and Layoffs Impact on IS Education
No full textRecent layoffs across major technology firms—such as Google, Microsoft, and Meta—have amplified concerns about job stability in Information Systems (IS), particularly in roles vulnerable to automation and outsourcing (Smith, 2024; Brown & Jones, 2023). These market disruptions demand a reevaluation of IS education to ensure graduates are equipped with relevant and adaptable skills for a shifting digital landscape. This paper explores the implications of these economic and technological trends across three dimensions: curriculum development, faculty adaptation, and student preparedness. Emerging technologies like artificial intelligence, cloud computing, and cybersecurity are reshaping industry expectations, necessitating curricula that incorporate data science, machine learning, and digital ethics alongside traditional programming and database instruction (Lee & Patel, 2023). Faculty face mounting pressure to remain current with these trends, highlighting the need for institutional support through continuous professional development and industry-academic collaboration (Johnson, Roberts, & Kim, 2022). Simultaneously, enrollment and career confidence among students have been impacted by market instability. Institutions must respond by offering strong career counseling, applied learning experiences, and flexible, modular programs that can evolve with industry demands (Davis & Martinez, 2023). By instilling a culture of lifelong learning and fostering partnerships with tech employers, IS education can remain resilient and responsive. These strategies will better prepare students and educators to navigate an uncertain yet opportunity-rich digital economy (Williams, 2024)
Understand Livestream Impulsive and Repeat Purchases Using Reflective–Impulsive Dual-system Model
No full textLivestream shopping is becoming the new powerhouse for e-commerce, with a $3532 billion projected market by 2032 (Business Research Insights, 2024). Impulsive purchases, a fundamental driver for the success of livestream shopping, are often perplexed by increased product return rates and a potentially compromised shopping experience (Zhang et al., 2024). Some consumers may refrain from making future purchases. It is necessary for sellers to consider impulsive purchases along with consumers’ repeat buying intent. To date, there is a paucity of theory-based research that jointly examines these purchasing behaviors within the context of livestream shopping. To advance this line of research, this study drew upon the reflective–impulsive dual-system model (RIM) to explore the impact mechanism of livestream commerce on consumers\u27 impulsive and repeat purchases. From analyzing the perceptions of 287 livestream shoppers, this study reveals that the two types of purchases are under the influence of both reflective and impulsive systems but to a different extent. Impulsive purchases are dominantly induced by impulsive systems where impulsive buying tendency, a situational personality trait, is the central leverage point. In contrast, repeat purchase intention is swayed more by reflective systems where perceived symbolic values of livestream shopping is the central leverage point. In addition, we verified arousal as a complex boundary condition in RIM. These findings shed novel insights into the research on dual-path information processing and carry important implications for livestream shopping platforms to design effective measures and digital marketing strategies for enticing and retaining customers
Reshaping the creative self: Insights from filmmaking
No full textArtificial Intelligence (AI) is increasingly embedded in the sociotechnical infrastructure of filmmaking, from generating scripts to editing, dubbing, and creating scenes. Recognizing this shift, professional organizations such as the Academy have clarified that AI use in filmmaking will not disqualify movies from Oscar consideration. Yet, filmmaking is a creative process, and the personnel who engage in it often view it not merely as work but as an expression of their creativity, where they can craft stories they wish to share with the audience. Thus, the introduction of AI into this space raises important questions about how creative personnel negotiate their sense of self in relation to these emerging digital systems. Against this background, we aim to study how the adoption of AI in filmmaking shapes the identities of creative professionals. To do so, we plan to follow a multi-pronged strategy for our study. First, we will conduct a detailed literature review on the role of technology in shaping personal, IT, and occupational identities. This comprehensive literature review will allow us to identify the various mechanisms through which technology shapes a sense of self. Next, we aim to construct a corpus of unstructured text from various podcasts, online forums, and websites where creative personnel discuss AI. We will conduct both computational text analysis and inductive coding to identify themes related to AI\u27s impact on the identities of creative personnel. Finally, we will conduct interviews with personnel engaged in filmmaking to understand how AI is integrated into their workflows and how it shapes identity formation and maintenance in practice. Through our analysis, we aim to develop a conceptual model and theoretical propositions that explain how a disruptive technology such as AI reshapes individuals’ sense of self within creative professions
Evolution of Patient Perceptions and Experiences with Telehealth: Insights from Reddit Communities
No full textTelehealth has evolved over multiple decades in the US, with the COVID-19 pandemic acting as a catalyst for the removal of regulatory and reimbursement barriers, thereby accelerating its adoption. Despite this rapid growth, there remains a significant gap in understanding patients\u27 perceptions of telehealth, which is crucial for optimizing healthcare delivery and ensuring patient satisfaction. In this research, we investigate the evolution of patient perceptions toward telehealth over time and identify the factors influencing these changes through text mining. Additionally, we focus on patients with mental disorders, specifically those with anxiety, to understand how telehealth affects their healthcare experiences. Data is collected from Reddit, a highly popular social media platform where user posts are organized by subject into user-created boards called subreddits. We examine three subreddits: r/telemedicine, r/telehealth, and r/anxiety. This research provides valuable insights into the dynamic nature of patients\u27 perceptions of telehealth. Understanding how these perceptions change over time can inform strategies to enhance telehealth adoption, address barriers, and tailor services to meet evolving patient needs. By examining telehealth utilization, satisfaction, and preferences, healthcare providers and policymakers can better design interventions to sustain positive patient experiences and increase the acceptance of telehealth services
Antecedents to Cybersecurity Breach Value Erosion: Machine Learning Approaches
No full textAbstract Cybersecurity breaches impose both direct costs (statutory audit fees) and hidden costs (non‑audit fees for remediation, consulting, and reputation management). Yet, the organizational antecedents that drive these transaction costs are poorly understood. Adopting Transaction Cost Economics as our theoretical lens, we analyze 261 breach events across 147 publicly traded firms (2009–2020). We merge Compustat financials with data on global footprint (number of countries), regulatory intensity (NAICS classification), breach complexity (data types compromised), and attack vectors. Using a suite of explainable machine‑learning models (Decision Tree, Random Forest, Support Vector Regression, and XGBoost), we log‑transform audit and non‑audit fees to capture non‑linear effects and rank predictor importance. Our results reveal that global footprint is the strongest driver of increased audit fees, reflecting elevated monitoring costs when firms operate across multiple jurisdictions. Moderately regulated industries incur the highest combined transaction costs, suggesting that insufficient compliance infrastructures exacerbate both audit and remediation expenses. Breach complexity and sophisticated attack vectors predominantly elevate non‑audit fees, as firms invest heavily in consulting, legal counsel, and reputation repair. These findings offer actionable insights for practitioners: executives can tailor cybersecurity investments and incident‑response protocols based on organizational scope and industry profile, while policymakers may refine disclosure requirements to incentivize stronger pre‑breach controls. Methodologically, this study demonstrates the value of explainable AI in translating high‑dimensional breach data into strategic guidance
The Role of Sleep in Navigating Off-Work ICT Work Demands
No full textIn today’s constantly connected work environment, employees face increasing off-hour interruptions driven by information and communication technologies (ICT), which can deplete cognitive resources and contribute to emotional exhaustion. Drawing on Domain Switch Theory and Cognitive Load Theory, we examine how sleep functions not merely as a disrupted outcome of ICT demands but as a protective resource that helps employees manage the cumulative strain of off-hour interruptions. Using five-day multilevel data from working adults, we find that off-hour interruptions mediate the relationship between ICT availability demands and next-day emotional exhaustion, and that this indirect effect is significantly weaker among individuals who obtain more sleep. Our findings position sleep as a strategic resilience factor and offer theoretical and practical insights for supporting employee well-being in digitally demanding work settings
Digital Banking Systems Success Factors Model: Case of Ethiopian Banking Sector
No full textDigital Banking Systems is being one of the long practiced technological advancement in information systems around the Globe. However, it is in its early phase of implementing banking technologies in the case of Ethiopian Banking Sector due to infrastructural and IT human capital limitations. Advancements in digital technologies such as big data, Artificial Intelligence, Cloud Computing and Robotics drive the successful implementation of digital banking systems in the banking sector (Alalwan et al., 2020). However, as an Information Systems, digital banking systems investments if not very well managed in a way that can bring such intended benefits might be devastating especially for low-income countries such as Ethiopia because such investments does not guarantee successful implementation and desired return on investment. Accordingly, digital banking systems success factors model that can guide its successful implementation has paramount importance to maintain its successful implementation. The purpose of this research is then to investigate success factors of digital banking systems and then develop a model that can map the infrastructural constraints of banks in developing nations context by taking the case of the Ethiopian Banking sector
