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An Exploratory Analysis of Metaverse from a Lefebvrian Lens
No full textCurrent research has not fully addressed user experiences within the metaverse. Leveraging Lefebvre’s spatial theory, we examine user interactions in Accenture\u27s Nth Floor metaverse and Punjab National Bank\u27s metaverse branch through semi-structured interviews with 18 participants and secondary data sources. We argue that spatial theory provides a deeper understanding of user engagement within the metaverse. We show that engagement hinges on spatial congruence, that is, the alignment among conceived, perceived, and lived spaces. We also demonstrate that users interpret metaverse environments through experiences that are carried over from prior digital experiences as digital baggage. Building on these concepts, we suggest that spatial incongruence and digital baggage may cause users to exercise workarounds. We discuss the implications of a spatial understanding of the metaverse and offer practical guidance for metaverse design. Theoretically, we extend technological frames, specify mechanisms that cause affordances to actualize, conflict, or get abandoned, and argue for a relative measurement approach for constructs related to technology adoption, like effort expectancy and ease-of-use
Generative Artificial Intelligence for Knowledge-Driven Industries: Leveraging Collective Intelligence to Address Discourse Patterns and Sectoral Diffusion
No full textThis study examines how Generative AI discourse diffuses across knowledge-based industries during the early adoption phase following ChatGPT\u27s release, using Diffusion of Innovation theory and collective intelligence perspectives. The study analysed six months of social media data and found sector level differences in discussion activity, use cases, and concerns. Media and marketing exhibit high engagement with positive sentiment, prioritizing content generation capabilities, while healthcare and finance demonstrate cautious engagement with neutral sentiment, focusing on analytical applications. Misinformation emerges as the dominant concern overall, though sectors prioritize different risks based on their institutional contexts. Statistical modeling reveals that sentiment is the strongest driver of information propagation velocity, with sector-concern interactions demonstrating that controversy amplifies rather than inhibits diffusion in content-oriented industries. The findings also demonstrate how collective intelligence mechanisms shape early-stage technology evaluation through sector-specific interpretive frames, with different industries constructing divergent perceptions of identical capabilities based on compatibility with existing practices and regulatory environments. The study contributes empirical evidence of cross-sectoral diffusion dynamics and offers practical insights for sector-specific adoption strategies and regulatory approaches
Outsourced ERP system implementation success: The effects of client and vendor competences and their moderating roles
No full textPrevious research has overlooked how individual competence interacts with circumstances that could potentially affect the success of outsourced system implementation. This research leverages person-environment fit and expectation-disconfirmation theories to investigate how client and vendor competences, as external factors and moderators, along with partnership quality and task-technology fit, affect the performance and satisfaction in outsourced ERP system implementations. Data were collected via a survey of 414 ERP users from 12 companies and analyzed using PLS-SEM and slope analysis. The findings reveal that client and vendor competences shape task-technology fit and partnership quality, affecting performance and client satisfaction. Notably, task-technology fit does not always improve performance for highly competent clients, and satisfaction may decline when vendors are perceived as highly competent, raising client expectations. A slight misalignment between tasks and technologies may even benefit highly skilled users. Furthermore, client satisfaction with ERP outsourcing is influenced by both performance outcomes and perceptions of vendor competence. This study provides practical guidance to enhance the success of outsourced system implementations
Governing Data, Governing Power: A Framework for Participatory Data Governance in the Global South
No full textDigital data play an increasing role in development projects in the Global South, yet ensuring that the data needs of local communities (particularly marginalized groups) are met remains a critical challenge. Building on Richard Heeks’ structural data justice model, this paper conceptualizes data governance as the locus where power relations materialize into data (in)justices. It introduces the Participatory Data Governance (PDG) framework, which operationalizes data governance into four key elements and provides an analytical tool to examine how and to what extent community members influence decision-making on the data systems that shape their lives. Applying the PDG framework to case studies in the Global South shows that participation varies across key data governance elements within single projects and enables a more fine-grained and critical analysis of how institutional contexts structure opportunities for meaningful participation and progress toward data justice
Understanding Students’ Adoption of Microlearning: A TAM-PVM Integration
No full textMicrolearning has gained significant traction in educational settings owing to its distinct pedagogical advantages. However, students’ intention to use these courses remains low. To enhance students’ willingness to engage with microlearning, a comprehensive framework is introduced to explore the determinants of their use intention. Data was collected via an online survey, with 320 valid responses obtained. The reliability and validity of the measurements were assessed, and hypotheses were tested using structural equation modeling analysis in SmartPLS 3.0. The results indicate that benefit factors including perceived usefulness and social influence are positively associated with students’ perceived value, which in turn influences their subsequent intention to use microlearning. In addition, the cost factor of perceived ease-of-use positively impacts both perceived value and use intention, whereas the effect of perceived cost is insignificant. Furthermore, students’ perceived value significantly predicts their intention to use microlearning. This study offers vital theoretical insights by integrating the Technology Acceptance Model and Perceived Value Model, and provides practical implications for fostering students’ intention to adopt microlearning
Paid Search Marketing vs. Search Engine Optimization: Analytical Models of Search Marketing Based on Search Engine Quality
No full textAs search engines are leading revenue growth in online marketing, search marketing has become a popular area of academic research. Although search engine advertising has interested researchers for decades and much has been learned, one thing that puzzles scholars is why search engine optimization companies are tolerated rather than excluded from the market, even though they capture a significant share of the advertising market. In this paper, we shed light on this phenomenon and establish an analytical model based on organic search quality. Through analysis of the model, we were able to draw several intriguing conclusions. First, there is no strictly positive correlation between advertisers’ willingness to pay and the click price of paid search marketing. In other words, the click price may decrease as advertisers’ willingness to pay increases. Secondly, improving the effectiveness of a search engine has the potential to attract more searchers, but it may also result in a decline in the search engine’s profits. Finally, a search engine may achieve higher profits by allowing search engine optimization firms to remain in the market rather than driving them out. We discuss our contribution to search engine marketing and provide implications for search engines, search engine optimization firms, and advertisers
The Impact of Digital Technology Intensity on Greenhouse Gas Emissions and Natural Resources Consumption
No full textThis paper examines how companies that invest in digital technologies, including artificial intelligence and other regenerative technologies, contribute to environmental change. While these technologies are increasingly integrated into corporate operations, their environmental and climate impacts remain uncertain. By analyzing publicly listed companies in the US, we aim to understand how investments in these technologies influence a firm’s perspective on environmental and climate issues. We focus on a firm’s greenhouse gas emissions and minimizing the consumption of natural resources. Through our analysis of technology investments and textual search measures related to artificial intelligence, we find that firms investing in these technologies are more likely to limit greenhouse gas emissions and reduce natural resource consumption. The findings suggest that such technologies can be leveraged to mitigate environmental risks. We discuss the implications of these results in the paper
Responsible Digital Citizen Participation in Youth Sexual Reproductive Health Rights in Southern Africa
No full textYouth play a crucial role in social development, yet their voices are often underrepresented in policy discussions on sexual reproductive health and rights (SRHR) that directly impact them. In Southern Africa, where SRH challenges persist despite ongoing interventions, socio-cultural, political, and religious barriers limit youth participation, further complicated by geopolitical tensions and diminishing aid. While research highlights the importance of addressing ‘vulnerabilising contexts’ rather than merely identifying ‘vulnerable youth’, effective mechanisms for youth advocacy remain limited. Digital citizen participation (DCP) platforms provide opportunities for youth to report access barriers and generate data for decision-making. However, the collection of sensitive SRH data necessitates responsible governance among diverse stakeholders with varying interests. This research examines the responsible data practices necessary for effective and ethical digital participation in SRHR initiatives for young people in Southern Africa. Applying Contextual Integrity theory to structure information flows between stakeholders, this conceptual paper leverages key parameters – contexts, attributes, and transmission principles – to examine the nature of responsible data and privacy in DCP for SRHR. The resulting framework offers guidance for ethical data governance in youth SRHR digital initiatives that centre contextual appropriateness and youth agency, while identifying critical questions regarding who should define transmission principles and whether data sharing rules should be explicit or shaped by implicit norms
Teaching Case: SQL as a Tool for Civic Crime Analysis
No full textThis case study engages students in the practice of civic data analysis by applying SQL to the Los Angeles Police Department’s open crime datasets, covering the period from 2010 to the present. Participants step into the role of city analysts responsible for examining crime distribution, temporal rhythms, enforcement outcomes, and neighborhood variations. Through structured exercises, learners gain hands-on experience with SQL operations, including table creation, data cleaning, aggregation, and spatial joins. The project emphasizes how database queries can reveal actionable insights for policy discussions on public safety, community partnerships, and policing strategies. In doing so, students strengthen both their technical fluency in SQL and their ability to interpret real-world public data in a critical, applied context
Cultivating Research Impact – Recommendations from IS for Business Schools and Beyond
No full text(Supra-)National research policies and assessments, institutional priorities, and individual intrinsic motivation continue to elevate the significance of the impact of business school research beyond the boundaries of our academic ecosystem. This growing interest, however, is not matched by a shared understanding of the actual types, stages, breadth, depth, and metrics of research impact needed to guide the actions not just of scholars and their hosting schools and departments, but also the practices and principles of accreditation bodies like the Association to Advance Collegiate Schools of Business (AACSB). Grounded in the related literature and the consolidated experiences of current and previous members of the AIS Impact Award committee, this paper draws on insights from the field of Information Systems, which informed the AACSB in their development of guidelines to assess business school research impact