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Alex Zarifis
Researcher at Loughborough University
Publications - 33
Citations - 381
Alex Zarifis is an academic researcher from Loughborough University. The author has contributed to research in topics: Computer science & Business model. The author has an hindex of 7, co-authored 28 publications receiving 173 citations. Previous affiliations of Alex Zarifis include University of Manchester & University of Nicosia.
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Exploring consumers' response to text-based chatbots in e-commerce: the moderating role of task complexity and chatbot disclosure
TL;DR: In this article, the authors explored consumers' trust and response to a text-based chatbot in e-commerce, involving the moderating effects of task complexity and chatbot identity disclosure.
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Investigating individual trust in semi-virtual collaboration of multicultural and unicultural teams
TL;DR: It is found that language, values and habitual behavior lead to the differences in these two types of groups, which provides clues for future research for trust development in multicultural teams.
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Designing a talents training model for cross-border e-commerce: a mixed approach of problem-based learning with social media
TL;DR: This paper conducted semi-structured interviews to acquire the requirements of cross-border e-commerce talents and integrated problem-based learning and social media to design a talents training model and evaluated its effectiveness from the four evaluation dimensions.
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Modeling individual trust development in computer mediated collaboration: A comparison of approaches
TL;DR: Two new approaches, the scale balance model and the trust spider diagram, are introduced to help model and investigate individual trust development over time to enhance computer mediated collaboration in both theoretical research and practical application.
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Investigating the impact of IT-mediated information interruption on emotional exhaustion in the workplace
TL;DR: The results show a positive indirect effect of IT-mediated information interruption on emotional exhaustion through interruption overload and the moderating effects of different process mechanisms on the relationship between information interruptions and individuals’ interruption overload.