TOWARDS EMOTIONAL SATISFACTION IN SOCIAL NETWORK SERVICES USE

This study examines the combined effect of positive and negative emotions on user satisfaction with social network services (SNSs). The sample consists of 582 individuals who use SNSs. Our results suggest that as the intensity of positive emotions increases, users are more satisfied with SNSs. This applies to low and medium levels of negative emotions. On the other hand, for all levels of positive emotions, as the intensity of negative emotions increases, there is no significant effect on satisfaction. Our findings suggest the dominating effect of positive emotions over the negative ones in SNSs. We conclud

Social Media Use For Work: Does Work Experience Really Matter?

Social media are in the top of the agenda for many companies to date, however there seems to be very limited understanding of the usage of social media for work purposes. In this study, we investigate what values increase this usage, and whether that usage is related with employees’ performance. Additionally, we explore the impact of employees’ work experience on their social media behaviour. Our study is based on responses from 1799 employees in the insurance industry. Results confirmed that both utilitarian and hedonic values influence employees to use more social media for their work. In addition, this study confirms that there is an important relation between the use of social media and work performance. Last but not least, employees’ work experience is found to be a significant moderator of the relationship between social media use for work and work performance

A MATTER OF TRUST AND EMOTIONS: A COMPLEXITY THEORY APPROACH TO EXPLAIN THE ADOPTION OF EGOVERNMENT SERVICES

This research uses complexity theory to offer a deeper insight on the causal patterns of factors explaining the adoption of e-government services. To this end, we propose a conceptual model comprising of affective factors (positive and negative emotions) and cognitive factors (trust of the government, trust of the service, and perceived net benefits of e-government services) along with research propositions. Our propositions are validated by employing a fuzzy-set qualitative comparative analysis (fsQCA) on a sample of 502 users of e-government services. Findings indicate five configurations of cognitive and affective perceptions that lead to high intention to use an e-government service. Of paramount importance are affective values and trust values since their mandatory presence or absence is incorporated in all configurations. The study has both theoretical and practical implications for academic scholars pertaining the development of new e-government adoption theories and the provision of egovernment services

Fuzzy-Set Analysis to Understand User Experience in Mobile Applications

This paper examines how price value, game content quality, positive and negative emotions, gender, and gameplay time interact with each other to explain high intention to download mobile applications, and specifically mobile games. Based on complexity theory and theory of configuration, a conceptual model is drawn along with research propositions. We employ fuzzy-set qualitative comparative analysis (fsQCA) on 531 users of mobile games, and identify ten solutions that explain high intention to download mobile games. Alternative paths are presented depending on the gender and gameplay time. We highlight the importance of price value and game content quality, as well as that of positive emotions which are always core factors when present. We contributes to theory and practice (1) with new insights into the interrelationships among the predictors of user intention to download mobile games, and (2) by advancing the theoretical and methodological foundation of how these predictors combine to lead to high intention to download mobile games

Big Data and Strategy: A research Framework

With big data growing rapidly in importance over the past few years’, academics and practitioners have been considering the means through which they can incorporate the shifts these technologies bring into their competitive strategies. To date, there has been an emphasis on the technical aspects of big data with limited attention on the organizational changes they entail and how they should be leveraged strategically. As with any novel technology, it is important to understand the mechanisms and processes through which big data can add business value to companies and have a clear picture of the different elements and their interdependencies. To this end, the present paper aims to provide a theoretical discussion leading up to a research framework that can help explain the mechanisms through which big data lead to competitive performance gains. The research framework is grounded on past empirical work on IT-business, and builds on the resource-based view (RBV) and dynamic capabilities view (DCV) of the firm. By identifying the main areas of focus for big data and explaining the mechanisms through which they should be leveraged, this paper attempts to add to literature on how big data should be examined as a source of a competitive advantage

The Role of Citizens’ Familiarity, Privacy Concerns, and Trust on Adoption of Smart Services

Smart city solutions and applications are considered as a strategic means to cope with multiple global and local challenges such as pollution, energy expenditure and digitalization to name a few. Although these solutions are driven by advanced information technologies such as IoT and Big data, their success is dependent on user engagement and trust. We seek to examine how citizens' awareness and perception of smart cities affect their adoption of smart services.To answer this, we conducted a study in Norway and employed a questionnairereceiving 103 responses. Furthermore, we conducted 12 semi-structured interviewsto obtain further insights. The results show how citizens value the benefitof smart services and how their adoption is influences by engagement and trusttowards them.

Gender Differences in Computer Science Education: Lessons Learnt from an Empirical Study at NTNU

Research in Computer Science (CS) education has focused on gender differences and there is high interest in increasing female participation in CS. The present study reviews important factors that influence CS students’ decision to complete their studies in CS (retention), and empirically examines how these factors differ for males and females. To this end, we identify cognitive and non-cognitive gains, cognitive and affective engagement, motivation to study, and three different barriers as critical factors in CS students’. We test these factors on 236 Norwegian CS students in order to find any potential gender differences. The findings indicate a gender difference for cognitive gains, affective engagement, motivation to study, and satisfaction with learning effectiveness. On the other hand, no difference was found for non-cognitive gains, cognitive engagement, personal values/teaching quality, and students’ intention to dropout from their studies. The study concludes with implications that will guide both research and practice towards a better understanding of both male and female CS students

Multimodal data as a means to understand the learning experience

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“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT’s use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts

“So what if ChatGPT wrote it?”:Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT’s use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts