Do Security Breaches Matter to Consumers?

Online security has been an important topic in electronic business. However, even the best IT security infrastructures cannot assure that cyber-attacks and malicious intrusions can be prevented. Therefore, it is important to know what is to be done when a security breach occurs, and how it influences consumers’ perceptions and behaviors. Via a survey of 258 respondents, this paper makes a first attempt to identify the relationships among security breach announcements, consumers’ perceived risks (including performance risk, financial risk, time risk and privacy risk), company reputation and a consumer’s intention to transact. Our key findings and implications are discussed

WHY ARE SOCIAL NETWORKING APPLICATIONS SUCCESSFUL? AN EMPIRICAL STUDY OF TWITTER

Abstract Social networking applications (SNAs

Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Publisher Copyright: © 2022, The Author(s).Background: Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. Results: To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3–5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism. Conclusions: Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk.Peer reviewe

The Social Networking Application Success Model: An Empirical Study of Facebook and Twitter

Social networking applications (SNAs) are among the fastest growing web applications of recent years. In this paper, we propose a causal model to assess the success of SNAs, grounded on DeLone and McLean’s updated information systems (IS) success model. In addition to their original three dimensions of quality, i.e., system quality, information quality and service quality, we propose that a fourth dimension - networking quality - contributes to SNA success. We empirically examined the proposed research model with a survey of 168 Facebook and 149 Twitter users. The data validates the significant role of networking quality in determining the focal SNA’s success. The theoretical and practical implications are discussed

Reversing a relationship spiral::From vicious to virtuous cycles in IT outsourcing

IT outsourcing (ITO) remains a popular business practice, but many buyers and suppliers of IT services are caught in a vicious relationship spiral of low trust, bad collaboration and mediocre performance. This paper describes a novel process understanding of how vicious cycles work and suggests a new method for how they can be reversed into virtuous cycles. Based on the action research and complementary system dynamics simulation, this paper demonstrates how an ineffective ITO relationship between a European Harbour Authority and its main IT supplier ITCo was formed and, later, transformed. The method, involving collaborative redesign of service workflows, applied in this action research triggered the reversal of an otherwise downward relationship spiral. Both the empirical facts from the action research data and the system dynamics simulation data are provided as evidence. We conclude the paper with conceptual and methodological contributions as well as scope for future research

The Impact of Instant Messaging Tools on Knowledge Management and Team Performance

Abstract. Instant messaging (IM) has become increasingly popular as a form of social communication. However, the adoption of IM in the workplace remains controversial due to the challenges associated with quantifying organizational benefits. In this study, we evaluate the effects of using IM tools on facilitating knowledge transfer and knowledge generation at work, and their subsequent influence on work performance. The proposed model is validated by a survey of work professionals at a small company with the support of a social networking diagram. Implications and conclusions are discussed

The mediating role of Guanxi network and communication performance in transforming Web 2.0 technologies usage to work performance: An empirical study in China

Motivated by both the increasing popularity of Web 2.0 technologies and the lack of empirical studies to conceptualize and validate their roles in the work place, in this research we aim to establish a research model to capture how Web 2.0 technologies can enhance individual work performance. Grounded on the Media Synchronicity Theory, we introduce an indigenous Chinese concept, guanxi network (which refers to the web of inter-personal connections), and suggest its mediating role with respect to the use of Web 2.0 technologies in enhancing communication and work performance. The survey data from 179 work professionals in China supported the proposed model. Key findings, implications and future research are discussed

From human-AI confrontation to human-AI symbiosis in society 5.0: Transformation challenges and mechanisms

Artificial Intelligence (AI) is an integral part of Society 5.0. Increasingly large companies are using AI technology to promote digital transformation and assist the human resource management (HRM) process to achieve sustainable talent development. Talent intelligent management system (TIMS), as a typical hybrid intelligent system, brings both opportunities and challenges to the transformation of HRM. Although the use of TIMS has met the expectation of Society 5.0 on replacing repetitive work by digital technology, practical insights are needed to address the potential challenges in human replacement, tacit knowledge of managers and data-driven recommendations, and low interpretability of TIMS recommendations. This article outlines possible solutions to cope with the above challenges. This article shows that the challenges brought by TIMS can be solved by different mechanisms, which cover improving users' trust in TIMS, balancing the rational results and irrational emotions, and enhancing the interpretability of AI algorithms

From human-AI confrontation to human-AI symbiosis in society 5.0:Transformation challenges and mechanisms

Artificial Intelligence (AI) is an integral part of Society 5.0. Increasingly large companies are using AI technology to promote digital transformation and assist the human resource management (HRM) process to achieve sustainable talent development. Talent intelligent management system (TIMS), as a typical hybrid intelligent system, brings both opportunities and challenges to the transformation of HRM. Although the use of TIMS has met the expectation of Society 5.0 on replacing repetitive work by digital technology, practical insights are needed to address the potential challenges in human replacement, tacit knowledge of managers and data-driven recommendations, and low interpretability of TIMS recommendations. This article outlines possible solutions to cope with the above challenges. This article shows that the challenges brought by TIMS can be solved by different mechanisms, which cover improving users' trust in TIMS, balancing the rational results and irrational emotions, and enhancing the interpretability of AI algorithms