Enterprise Resource Planning (ERP) systems digitalize business processes across organizations to enhance automation and optimization. They integrate data and workflows from sales, marketing, finance, supply chain, manufacturing, services, procurement, and human resources, thereby serving as a central system of record for many organizations. ERP systems typically support tens of...
The growing incorporation of Industry 4.0 (I4.0) technologies has intensified the demand for digital upskilling among manufacturing industry engineers in SMEs. Digital Learning 4.0 Systems (DL4.0s) provide sustainable training solutions, yet their effective utilization remains insufficiently explored. This study uses motivational affordance theory combined with basic human needs...
While luxury brands have widely adopted Internet-based digital technologies, their engagement with metaverse-based technologies remains underexplored. This study addresses that gap by examining how foundational luxury principles—sensorial richness, exclusivity, brand prestige, artisanal craftsmanship, and heritage—interact with emerging metaverse characteristics such as digital...
This report provides an overview of the Business Deans
The rapid integration of Artificial Intelligence into the business landscape has created a critical challenge for higher education, widening the gap between industry needs and traditional curricula. This report addresses the central tension between AI's potential as a productivity driver and its role in displacing white-collar jobs, particularly for recent business graduates. It...
Global disruptions pose significant challenges for supply chains seeking to achieve development goals while maintaining resilience. Research highlights the crucial role of technology in Industry 4.0, promoting innovation and enhancing well-being in resilient supply chains. Next-generation connectivity, such as 5G, is critical for digitalizing supply chain operations and...
Many 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...
Artificial intelligence (AI), digital platforms, and algorithmic infrastructures are transforming the adoption and diffusion processes studied in Information Systems (IS) research. This panel report synthesizes and extends discussions from the 28th Annual DIGIT Workshop, highlighting critical shifts in diffusion research driven by AI advancements. The panel was hosted by the...
The accessibility of web-based software applications is critical, particularly in tertiary education. This is important given the imperative for inclusivity, driven by the increasing diversity of the student population, including individuals with disabilities. Despite this, the procurement process for Third Party Web-Based Software Applications (TPWBSA) in universities often...
This study investigates the transformative interaction among digital resilience (DR), internet of things-oriented supply chain practices (IoTP), AI-driven innovative practices (AIDIP), and sustainable supply chain performance (SSCP) in the context of the dynamic capability view (DCV) theory. Using empirical data from 293 high-tech SMEs in China that have adopted IoT and AI...
This teaching case explores the journey of Sakhi Bahinpa, a women-led digital community rooted in the Maithili language and culture. Initially founded as a Facebook group, Sakhi Bahinpa grew into a decentralized network of over 40,000 women across India and abroad. Drawing on insights from a five-year longitudinal study involving in-depth data collection and field engagement, the...
Business Process Management (BPM) plays a critical role by driving digital innovation and enhancing organizational agility. Due to its importance in information systems (IS), educational institutions worldwide offer diverse BPM courses. However, a notable gap remains in teaching resources that offer real-world cases with a strong focus on diverse organizational contexts. This...
Privacy concerns related to surveillance technologies are a primary deterrent for consumers hesitant to share their health data with service providers in smart health monitoring systems (SHMSs). These concerns can impede the adoption and operational success of SHMSs, leading to dissatisfaction among both consumers and service providers. Despite the significance of privacy...
The rapid development of artificial intelligence (AI) systems has raised concerns about their ethical, legal, and social risks. Despite notable progress in the development of responsible AI frameworks, methods, and tools, research shows that many organizations struggle to effectively implement responsible AI. I review prior research on responsible AI to explain the insufficient...
This paper reexamines the information hierarchy, which has garnered significant recognition in the information systems field. Ackoff (1989) expressed concerns related to irrelevant information in his seminal work, but those concerns are not presented in the data, information, knowledge, and wisdom (DIKW) pyramid depicted by Debons et al. (1989), which is frequently cited in...
In a post-pandemic society, increasing attention is given to non-profit-driven digital transformation (DT) processes. Socio-economic and geo-political implications, in addition to contemporary settings of information technology use, challenge the achievement of non-profit aims. Among others, interest in further investigation concerns DT-enabled change management and...
Despite the advancement in design, development, and use of digital platforms in general, data-driven platforms and novel use of emerging technologies in healthcare, in particular, have been lagging behind. Sleep is one of the fundamental pillars of health and the cognitive functioning connected to sleep deprivation has, to date, not been researched to a large extent. Moreover...
Now that ChatGPT and other Generative Artificial Intelligence (GAI) tools have been generally available to the public for over 2 years, it is time to assess their use by students and faculty in the classroom. In its most basic sense, GAI becomes another resource or tutor for our students. As GAI is used in more and more workplaces, do faculty owe it to students to provide...
Organizations are increasingly integrating artificial intelligence and machine learning (ML) to drive innovation, optimize processes, and create new revenue streams. However, deploying and managing ML models are complex tasks that pose significant challenges. Despite their importance, there is a notable gap in academia regarding the inclusion of these topics in business analytics...
This paper reports on a panel debate at the 32nd European Conference on Information Systems (ECIS) held in Paphos in Cyprus in 2024. As reflected in the conference theme: “People First: Constructing Digital Futures Together”, the debate centered on how to integrate human dignity as a guiding principle for research, education, and community practices in the Information Systems (IS...
Megaprojects are complex and capital-intensive endeavors that result in societal transformation and value creation. Given the tremendous failure costs, the challenges and causes of megaprojects
Being overweight plagues half of the world’s population, suggesting there is need for solutions, such as virtual health communities (VHCs) constructed to benefit users and the community. We examined participant behavior in a VHC for men focused on weight management and compared their weight loss through an analysis of covariance to identify mechanisms that lead to positive health...
Qualitative analysis is an essential component of the dynamic process of sensemaking, where researchers sift through data to extract innovative insights that can contribute to new theoretical perspectives. In most cases, this involves analyzing unstructured text data gathered from naturalistic inquiries and secondary data material. However, due to the predominantly manual nature...
While personalized advertising may increase customer’s desire to engage with a firm, privacy concerns over how firms process data for personalization may reduce their engagement and lead to ad avoidance. As marketers increasingly benefit from personalized advertising, the domain of privacy in personalized advertising (PPA) is gaining attention from researchers in both Marketing...
Conceptual data modeling is widely viewed in academia as a critical part of relational database development, essential for reducing project failure risks. Although empirical studies have explored various aspects of its use, research about how frequently Conceptual data modeling is applied in practice and the reasons for its adoption or avoidance are lacking. This paper addresses...