A5080505347- Big Data and Business Intelligence
- Technology Adoption and User Behaviour
- Digital Marketing and Social Media
- Thin-Film Transistor Technologies
- Qualitative Comparative Analysis Research
- Advancements in Semiconductor Devices and Circuit Design
- Online Learning and Analytics
- Innovation and Knowledge Management
- Semiconductor materials and devices
- Ethics and Social Impacts of AI
- Embedded Systems Design Techniques
- Silicon Nanostructures and Photoluminescence
- Online and Blended Learning
- Impact of Technology on Adolescents
- Digital Transformation in Industry
- VLSI and FPGA Design Techniques
- AI in Service Interactions
- E-Learning and Knowledge Management
- Silicon and Solar Cell Technologies
- Knowledge Management and Sharing
- Supply Chain Resilience and Risk Management
- Data Quality and Management
- Innovative Approaches in Technology and Social Development
- CCD and CMOS Imaging Sensors
- Cultural Differences and Values
University of Agder
2019-2025
Norwegian University of Science and Technology
2016-2025
TU Dresden
2024
University of Augsburg
2024
Aristotle University of Thessaloniki
2004-2023
University of Johannesburg
2023
Free University of Bozen-Bolzano
2023
University of Crete
2020
Ionian University
2011-2017
Utrecht University
2014
Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across wide range of contexts. The technology presents opportunities well as, often ethical and legal, challenges, has the potential for both positive negative impacts organisations, society, individuals. Offering multi-disciplinary insight into some these, this article brings together 43 contributions experts in fields...
The metaverse has the potential to extend physical world using augmented and virtual reality technologies allowing users seamlessly interact within real simulated environments avatars holograms. Virtual immersive games (such as, Second Life, Fortnite, Roblox VRChat) have been described as antecedents of offer some insight socio-economic impact a fully functional persistent cross platform metaverse. Separating hype "meta…" rebranding from current is difficult, "big tech" paints picture...
The increasing interest in fuzzy-set Qualitative Comparative Analysis (fsQCA) Information Systems and marketing raises the need for a tutorial paper that discusses basic concepts principles of method, provide answers to typical questions editors, reviewers, authors would have when dealing with new tool analysis, practically guide researchers on how employ fsQCA. This article helps reader gain richer information from their data understand importance avoiding shallow information‐from‐data...
A central question for information systems (IS) researchers and practitioners is if, how, big data can help attain a competitive advantage. To address this question, study draws on the resource-based view, dynamic capabilities recent literature analytics, examines indirect relationship between firm's analytics capability (BDAC) performance. The extends existing research by proposing that BDACs enable firms to generate insight strengthen their capabilities, which, in turn, positively impact...
Mobile internet, cloud computing, big data technologies, and significant breakthroughs in Artificial Intelligence (AI) have all transformed education. In recent years, there has been an emergence of more advanced AI-enabled learning systems, which are gaining traction due to their ability deliver content adapt the individual needs students. Yet, even though these contemporary systems useful educational platforms that meet students' needs, is still a low number implemented designed address...
Purpose – Satisfaction and experience are essential ingredients for successful customer retention. This study aims to verify the moderating effect of on two types relationships: relationship certain antecedents with satisfaction, satisfaction intention repurchase. Design/methodology/approach paper applies structural equation modelling (SEM) multi-group analysis examine role in a conceptual model estimating Responses from 393 people were used differences between high- low-experienced users...
Purpose In the complex environments of online personalization, multiple factors have been considered to explain consumers’ behaviour, but largely without considering role specific configurations variables and how they may affect consumer behaviour. This study aims show trust towards vendors, privacy, emotions experience combine predict purchase intentions. Design/methodology/approach Building on complexity theory, a conceptual model followed by research propositions is presented. The are...
Most work in the design of learning technology uses click-streams as their primary data source for modelling & predicting behaviour. In this paper we set out to quantify what, if any, advantages do physiological sensing techniques provide technologies. We conducted a lab study with 251 game sessions and 17 users focusing on skill development (i.e., user's ability master complex tasks). collected click-stream data, well eye-tracking, electroencephalography (EEG), video, wristband during...
Advancements in human/AI interactions led to smartification of public services via the use chatbots. Here, we present findings from a clinical inquiry research project key service organisation Norway. In this project, researchers and practitioners worked together generate insights on action possibilities offered human agents by chatbots potential for creating hybrid teams. The sensitised discover affordances based their actual practices, rather than predefined different identified can be...
Personalized services are diffusing rapidly in online shopping communities. However, the current understanding of influence personalization is limited. This study extends literature into area emotions related to intention purchase and context shopping. Responses from 182 shoppers were used examine impact on customer purchase. The results show that there a direct positive association between intentions. In addition, provision features e-shops may evoke but does not nor mitigate negative ones....
Social Networking Sites (SNSs) play an important role in our daily lives and the number of their users increases regularly. To understand how can be satisfied complex digital environment SNSs, this study examines motivations emotions combine with each other to explain high satisfaction. Users' comprise four attributes, entertainment, information, social-psychological, convenience. Emotions are divided into two main categories, that is positive negative emotions. We draw on complexity...
Abstract This research develops and tests a theoretical model of customer persuasion in personalized online shopping, building on information processing theory, addressing cognitive affective stages the process. Data from 582 experienced customers were used to validate proposed through structural equation modeling multigroup analysis. Results show that quality personalization, message quality, benefits recommendations are important Positive emotions increase effect purchase intentions,...
E-learning systems are receiving ever increasing attention in academia, business and public administration. Major crises, like the pandemic, highlight tremendous importance of appropriate development e-learning its adoption processes organizations. Managers employees who need efficient forms training learning flow within organizations do not have to gather one place at same time or travel far away attend courses. Contemporary affordances allow users perform different jobs tasks for courses...