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1 – 10 of 476Fangfang Xia, Changfeng Wang, Rui Sun and Mingyue Qi
This study aims to identify an antecedent that hinders knowledge sharing, namely, the perceived climate of Cha-xu. Based on the social exchange perspective, the authors propose a…
Abstract
Purpose
This study aims to identify an antecedent that hinders knowledge sharing, namely, the perceived climate of Cha-xu. Based on the social exchange perspective, the authors propose a theoretical model that links the perceived climate of Cha-xu to employee knowledge sharing. This model focuses on the mediating role of two types of trust (vertical and horizontal trust) and the moderating role of task interdependence in influencing the mediation.
Design/methodology/approach
Using a sample of 509 Chinese employees, this study carried out a survey on an online platform. This study developed a structural equation model and tested the moderated mediation hypothesis by using Mplus 8.0.
Findings
The results showed that two types of trust act as mediators in the relationship between the perceived climate of Cha-xu and knowledge-sharing processes. The mediating effect of horizontal trust is stronger. Most significantly, findings show that this mediated relationship is contingent on the level of task interdependence.
Originality/value
This paper provides evidence for distinguishing vertical trust and horizontal trust in the field of knowledge management. From a managerial perspective, this study identifies traditional cultural factors for hindering knowledge-sharing processes within Chinese organizations.
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Yang-Jun Li, Christy M.K. Cheung, Xiao-Liang Shen and Matthew K.O. Lee
As digital spaces for team collaboration, virtual worlds bring considerable verisimilitude to technology-mediated social interaction and change the process of traditional team…
Abstract
Purpose
As digital spaces for team collaboration, virtual worlds bring considerable verisimilitude to technology-mediated social interaction and change the process of traditional team learning. The purpose of this study is to understand how to promote collaborative learning in virtual worlds by leveraging the power of we-intention to participate in virtual worlds. The authors further use the valence–instrumentality–self-efficacy–trust model (VIST) model as a means of understanding the formation of we-intention to participate in virtual worlds, during which behavioral desire serves a bridging role.
Design/methodology/approach
The authors tested the research model using the data gathered from 298 users of a prominent form of virtual world, i.e. massively multiplayer online role-playing games. The authors used the structural equation modeling approach and the partial least squares technique for data analysis.
Findings
Results show that the four factors of the VIST model (i.e. valence on team goals, instrumentality of contribution, self-efficacy in team tasks and trust in team members) all positively influence we-intention to participate in virtual worlds through behavioral desire for team actions. We-intention to participate in virtual worlds further exerts a stronger positive effect on collaborative learning in virtual worlds, compared with I-intention to participate in virtual worlds.
Originality/value
This work advances the information systems literature by introducing a relevant and important concept, i.e. we-intention, to explain collaborative learning in virtual worlds. This study especially compared the effect of we-intention and I-intention on collaborative learning in virtual worlds. The results of this work also provide practitioners with insights into the role of we-intention in promoting collective actions in virtual worlds.
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Shu Schiller, Fiona Fui-Hoon Nah, Andy Luse and Keng Siau
The gender composition of teams remains an important yet complex element in unlocking the success of collaboration and performance in the metaverse. In this study, the authors…
Abstract
Purpose
The gender composition of teams remains an important yet complex element in unlocking the success of collaboration and performance in the metaverse. In this study, the authors examined the collaborations of same- and mixed-gender dyads to investigate how gender composition influences perceptions of the dyadic collaboration process and outcomes at both the individual and team levels in the metaverse.
Design/methodology/approach
Drawing on expectation states theory and social role theory, the authors hypothesized differences between dyads of different gender compositions. A blocked design was utilized where 432 subjects were randomly assigned to teams of different gender compositions: 101 male dyads, 59 female dyads and 56 mixed-gender dyads. Survey responses were collected after the experiment.
Findings
Multilevel multigroup analyses reveal that at the team level, male dyads took on the we-impress manifestation to increase satisfaction with the team solution. In contrast, female and mixed-gender dyads adopted the we-work-hard-on-task philosophy to increase satisfaction with the team solution. At the individual level, impression management is the key factor associated with trust in same-gender dyads but not in mixed-gender dyads.
Originality/value
As one of the pioneering works on gender effects in the metaverse, our findings shed light on two fronts in virtual dyadic collaborations. First, the authors offer a theoretically grounded and gendered perspective by investigating male, female and mixed-gender dyads in the metaverse. Second, the study advances team-based theory and deepens the understanding of gender effects at both the individual and team levels (multilevel) in a virtual collaboration environment.
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Dhananjay Jadhav, Johra Kayeser Fatima and Ali Quazi
While scholarly attention has mainly focused on team-level or relational constructs for the success of team performance, understanding the inter-play between these two streams of…
Abstract
Purpose
While scholarly attention has mainly focused on team-level or relational constructs for the success of team performance, understanding the inter-play between these two streams of research remains limited in digital transformation projects. Borrowing from social exchange theory, this study aims to explore the antecedents of team alignment leading to team performance with mediation effects of trust, commitment and customer–service provider relationship. The moderating role of relationship length was also examined.
Design/methodology/approach
Data was collected using a survey of 180 employees working on digital projects in B2B context, mostly in the Indo-Pacific region, specifically Singapore, Indonesia, Malaysia and India. Partial least squares method with multi-group analyses and bootstrapping method were used to analyze the data.
Findings
Findings show that customer control and team capability are the strongest antecedents of team alignment, and inter-play between the customer–provider relationship with team-level constructs is also significant. Relationship length has higher level of moderation impact on trust–team performance link compared to commitment–team performance relationship.
Research limitations/implications
The study considers moderation impact of relationship length on trust, commitment and team performance but not other constructs. Also, gender ratio is skewed in the data set.
Practical implications
Digital transformation practitioners need to be aware of relational constructs (not only team-level constructs) when designing successful long-term digitalization strategies for organizations.
Originality/value
This study is one of the first to document the inter-play between team alignment and relational constructs (such as trust, commitment, and customer–service provider relationship), with moderation impact of relationship length leading to team performance in digital transformation projects.
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Denise J. McWilliams and Adriane B. Randolph
Researchers explore the impact of an intelligent assistant in virtual teams by applying the theoretical lens of a transactive memory system (TMS) to understand the relationships…
Abstract
Purpose
Researchers explore the impact of an intelligent assistant in virtual teams by applying the theoretical lens of a transactive memory system (TMS) to understand the relationships between trust in a specific technology, knowledge sharing and knowledge application.
Design/methodology/approach
An online survey was administered to a Qualtrics-curated panel of individual, US-based virtual team members utilizing an intelligent assistant with team collaboration software. Partial least squares structural equation modeling (PLS-SEM) was utilized to examine the hypothesized relationships of interest.
Findings
Results suggest that knowledge application is strongly influenced by trust in a specific technology and knowledge sharing. Additionally, a transactive memory system positively increases trust in the intelligent assistant, and similarly, trust in the intelligent assistant has a significant positive relationship with knowledge sharing.
Originality/value
The research model contributes to our understanding of the impact of an intelligent assistant in virtual teams. Although the transactive memory system construct has been explored in various contexts and models, few have explored the impact of an intelligent assistant and trust in a specific technology.
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Kai Wang, Chi-Feng Tai and Han-fen Hu
Focusing on the social influence processes in the context of massively multiplayer online role-playing games (MMORPGs), this study aims to investigate the nomological network of…
Abstract
Purpose
Focusing on the social influence processes in the context of massively multiplayer online role-playing games (MMORPGs), this study aims to investigate the nomological network of social influence factors, a topic seldom explicitly articulated in the literature in this unique context.
Design/methodology/approach
This study adopts a mixed-methods approach to develop and test a context-specific model of social influence processes in MMORPGs. First, the authors conducted qualitative interviews with MMORPG players to identify the drivers shaping players' perceptions of social influences. Second, the authors formulated and tested a research model with quantitative data collected from 450 respondents of an online survey.
Findings
Through the qualitative study, the authors identify leader enthusiasm, social support and social presence as the critical drivers of social influence factors. The result of the quantitative study validates the influences of the critical drivers and demonstrates the impact of social influences on MMORPG players' we-intention to continue playing games.
Originality/value
This research extends the social influence theory by identifying contextualized drivers that shape MMORPG players' perception of social influences determining their we-intention to continue playing games. MMORPG service providers can draw on these drivers to leverage social influences to increase players' we-intention of continuance.
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Eleni Georganta and Anna-Sophie Ulfert
The purpose of this study was to investigate trust within human-AI teams. Trust is an essential mechanism for team success and effective human-AI collaboration.
Abstract
Purpose
The purpose of this study was to investigate trust within human-AI teams. Trust is an essential mechanism for team success and effective human-AI collaboration.
Design/methodology/approach
In an online experiment, the authors investigated whether trust perceptions and behaviours are different when introducing a new AI teammate than when introducing a new human teammate. A between-subjects design was used. A total of 127 subjects were presented with a hypothetical team scenario and randomly assigned to one of two conditions: new AI or new human teammate.
Findings
As expected, perceived trustworthiness of the new team member and affective interpersonal trust were lower for an AI teammate than for a human teammate. No differences were found in cognitive interpersonal trust and trust behaviours. The findings suggest that humans can rationally trust an AI teammate when its competence and reliability are presumed, but the emotional aspect seems to be more difficult to develop.
Originality/value
This study contributes to human–AI teamwork research by connecting trust research in human-only teams with trust insights in human–AI collaborations through an integration of the existing literature on teamwork and on trust in intelligent technologies with the first empirical findings on trust towards AI teammates.
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Rafedzah Mohd Som, Ismi Arif Ismail, Zoharah Omar, Siti Noormi Alias and Soaib Asimiran
This study aims to test a public–private partnership (PPP) success model by examining the direct effects of two input factors (facilitative leadership and communication quality…
Abstract
Purpose
This study aims to test a public–private partnership (PPP) success model by examining the direct effects of two input factors (facilitative leadership and communication quality) on an outcome factor, namely, PPP success (PPP project success and PPP relational success), as well as the mediating effect of trust as a process factor on these relationships.
Design/methodology/approach
The present research uses the sociotechnical systems theory as the guiding framework. This is a quantitative study that uses a questionnaire survey and purposive sampling. The respondents comprise 266 public and private sector employees who have been involved in various PPP projects. The data gathered from the survey are analysed using SPSS and structural equation modelling (AMOS version 23.0).
Findings
The findings of this study indicate that facilitative leadership, communication quality and trust are positively correlated with PPP success, that is, PPP relational and PPP project success. Trust is found to mediate the relationship between facilitative leadership and communication quality with PPP success.
Practical implications
This paper upholds the importance of facilitative leadership, communication quality and trust in a PPP setting.
Originality/value
This study enriches the knowledge of PPP projects regarding facilitative leadership, communication quality and trust. It also discusses the vital role of these variables in ensuring PPP success.
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Anjali Singh and Sumi Jha
This study aims to investigate the factors influencing team innovation from the perspective of strategic leaders. The study draws from the leader–member exchange (LMX) theory to…
Abstract
Purpose
This study aims to investigate the factors influencing team innovation from the perspective of strategic leaders. The study draws from the leader–member exchange (LMX) theory to propose that the quality of exchange the leaders perceive with the team members may provide a useful cue to identify the key elements and processes that may help drive team innovation.
Design/methodology/approach
A qualitative study using a hybrid approach was used, and a thematic analysis was performed. The data were based on 25 interviews collected from strategic leaders using the long interview technique.
Findings
The findings revealed themes and factors influencing innovation orientation among leaders and team members. Five themes were identified, namely modeling leadership behavior, autonomy and psychological safety for teams, organizational structure and technology, innovation and the decision-making process and innovation during times of uncertainty.
Research limitations/implications
Because of the purposefully chosen sample of only leaders who were involved in the innovation process, the research results may lack generalizability. Therefore, researchers are encouraged to corroborate the finding using a sample of teams involved in the innovation process.
Practical implications
A conceptual model is proposed with guidance for implementing innovation decisions and strategies in practice.
Originality/value
While the strategic leadership and team innovation literature emphasizes the interaction between leaders and team members, research on how these interactions unfold is still nascent. This paper fulfills these needs from a strategic leader’s perspective.
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Majid Ghasemy and Lena Frömbling
Guided by the affective events theory (AET), the purpose of this paper was to explore the impact of interpersonal trust in peers, as an affective work event, on two affect-driven…
Abstract
Purpose
Guided by the affective events theory (AET), the purpose of this paper was to explore the impact of interpersonal trust in peers, as an affective work event, on two affect-driven behaviors (i.e. job performance and organizational citizenship behavior toward individuals [OCBI]) via positive affect during the Covid-19 pandemic, particularly in the Asia–Pacific region.
Design/methodology/approach
This study is quantitative in approach, and longitudinal survey study in design. The authors collected data from lecturers in 2020 at the beginning, at the end and two months after the first Covid-19 lockdown in Malaysia. Then, the authors utilized the efficient partial least squares (PLSe2) estimator to investigate the relationships between the variables, while also considering gender as a control variable.
Findings
The findings show that positive affect fully mediates the relationship between interpersonal trust in peers and job performance and partially mediates the relationship between interpersonal trust in peers and OCBI. Given that gender did not demonstrate any significant relationships with interpersonal trust in peers, positive affect, job performance and OCBI, the recommended policies can be universally developed and applied, irrespective of the gender of academics.
Originality/value
This research contributes originality by integrating the widely recognized theoretical framework of AET and investigating a less explored context, specifically the Malaysian higher education sector during the challenging initial phase of the Covid-19 pandemic. Furthermore, the authors adopt a novel and robust methodological approach, utilizing the efficient partial least squares (PLSe2) estimator, to thoroughly examine and validate the longitudinal theoretical model from both explanatory and predictive perspectives.
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