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The pace of organizational and environmental change seems to demand that such professional organizations as CPA firms become learning organizations in order to compete adequately with other firms. The flattening out of traditional hierarchical structures within organizations argues that traditional mentoring and supervisory structures may be inadequate for fostering needed individual learning and personal learning. One effect of the lack of such learning may be increased role stress, job burnout, loss of commitment to the organization, intention to leave, and diminished job satisfaction. Using a sample of 440 accounting professionals from major CPA firms in several regions of the USA, studies the ability of team social interaction processes within work teams to foster the personal, organizational, and team‐source learning, and also to influence attitudinal outcomes directly and indirectly. Also examines whether personal learning, organizational socialization and team‐source learning mediate the impact of team social interaction process on attitudinal outcomes. Uses a hierarchical regression‐based test to evaluate our hypotheses. The results supported our expectations. A structural equation modeling test of the model showed that organizational and personal learning mediated the relationship between team social interaction processes and the attitudinal outcomes, but team‐source learning did not.

Consumers are inclined to join longer queues due to social interactions in service consumptions. This purchase behavior brings in operational challenges in terms of capacity planning, which affects consumers’ demand, leading to an unstable and fluctuated arrival process. This paper aims to investigate the dynamic characteristics of the arrival process of a service system with boundedly rational consumers whose purchase decisions are influenced by the queue length under social interactions.

Consumers’ bounded rationality is modeled based on the random utility theory. Due to social interactions, the equilibrium queue length and its interaction with the expected waiting time affect consumers’ value perception. The authors first analyze the optimal service capacity decision with or without considering the influence of social interactions in a static setting. They then focus on the dynamic characteristics of the arrival process by a one-dimensional dynamical model in terms of the arrival rate.

This paper finds that the service system can behave chaotic in terms of arrival rate dynamics under social interactions. The results highlight the dynamical complexity of a simple service system due to consumers’ behavioral factors and the influence of social interactions, which may be the critical drivers leading to fluctuated and uneven demand.

The findings demonstrate that due to consumers’ limited cognitive ability and the influence of social interactions, the demand to a service system can be stable, periodic or even chaotic in terms of the arrival process. This study provides an alternative explanation to the observed demand fluctuations in various service processes under the influence of social interactions, which is important for service providers to effectively manage service capacity to achieve a stable service process and improve operational efficiency.

This study aims to explore the influence of social interaction processes on transactive memory system (TMS) practice, the mediation of knowledge integration to the relationship between TMS and team performance and the moderation of team psychological safety to the relationship among TMS, knowledge intentions and team performance.

The authors collected data from a sample of 366 team members from 55 research and development (R&D) teams in Taiwan and conduct the analysis using the partial least squares method.

The results of this study indicate that social interaction processes have a positive effect on a TMS; a TMS can foster team performance, but knowledge integration mediates the relationship between the TMS and team performance; and team psychological safety can moderate the relationship between the TMS, knowledge integration and team performance.

Existing studies not only fail to explore the influence of social interaction processes on a TMS practice but also lack empirical analyses to explore knowledge integration as a mediator and team psychological safety as a moderator. This study fills that gap by developing a model that includes these types of relationships and suggests the importance of the TMS in the context of R&D.

The purpose of this paper is to investigate the management of the use of knowledge in interfaces stretching across company and organizational borders, including the negotiated monetary dimension.

The research approach is the IMP framework on resource interaction (Håkansson and Waluszewski, 2002), and the distinction among heterogeneous economic resources and a homogeneous monetary dimension, (Håkansson and Olsen, 2015; Perna et al., 2015). A case study on use of science based knowledge in business is utilized.

The management regime behind the creation of a user setting including a substantial monetary flow is can be characterized as “managing collective entities” (Håkansson, Bakken, Olsen, 2013) and it is argued that the knowledge management regime assumes away the most important process related to use of knowledge.

The paper stress the theoretical need for approaching managment in general and managing use of knowledge in particular as an interactive issue.

The paper stress the practical need for approaching managment in general and managing use of knowledge in particular as an interactive issue.

The paper questions the knowledge management regime, which has a strong influence on public policy.

Virtual crowdsourcing initiatives, and in particular crowdsourcing competitions, have become a promising means of harnessing users’ creativity to help corporate innovation. To date, research has tended to focus on the outcome of the competition, i.e. on the creative solution. There is, however, a lack of understanding in such crowdsourcing environments of the creative process itself and the influence of social interaction on the platform during this process. The paper aims to discuss these issues.

The authors conducted a series of qualitative interviews with participants from a major European crowdsourcing platform. The platform acts as an intermediary between companies and firms, and has launched more than 370 idea competitions.

The results suggest that there are not only positive interactions going on between participants. Below the surface, there also appear destructive processes provoked by the fierce competition among the contestants for prizes and a position in the Top Innovator lists. Such destructive behavior includes bullying of successful contestants, excessive use of like-functions among befriended contestants, and mutual donation of prize money among in-group members.

Negative social interaction among contestants of crowdsourcing communities can potentially threaten the platform provider’s business model. Managers of crowdsourcing platforms should engage in the development of strong social norms explicitly disapproving destructive behavior.

This study is the first to investigate in detail the phase of idea generation on crowdsourcing platforms, and the nature and impact of social interactions among contestants.

Social network sites are emerging as a popular communication tool for knowledge sharing and construction. LinkedIn, which concentrates on professional networking, is reported to generate great informational benefits to its users. The purpose of this paper is to explore product users’ knowledge construction in solving technical problems on LinkedIn, which was chosen as a case example.

Discussion threads with rich knowledge elements were selected from an interest group about solving technical problems with laptops. Adopting a qualitative content analysis method, selected threads were analysed with a prior analysis framework built in the context of traditional IT company sponsored peer user support forums.

The analysis revealed that the iterative and progressive knowledge construction process and associated trial-and-error strategy used on LinkedIn are similar to those found in peer support forums. However, LinkedIn members are more engaged in knowledge construction episodes. Meanwhile, the sub-category “proposing a new idea” accounts for a larger portion of discussions reflecting the high-level of expertise. One-to-one direct interaction is quite salient. Therefore, LinkedIn can support knowledge construction in a more efficient way due to the character of its social capital, including trust, sense of belonging, norms of cooperation, visible identity, knowledge articulation skills, one-to-one direct interaction and suitable strength of ties.

This research is novel in empirically revealing how LinkedIn attributes and its social capital attributes interact with each other and together facilitate an efficient knowledge construction process.

This study investigates how social interaction-oriented content in broadcasters' live speech affects broadcast viewers' purchasing and gift-giving behaviors and how broadcaster popularity moderates social interaction-oriented content's effect on the two different behaviors in live-streaming commerce.

A research model was proposed and empirically tested using a panel data set collected from 537 live streams via Douyin (the Chinese version of TikTok), one of the most popular live broadcast platforms in China. A fixed-effects negative binomial regression model was used to examine the proposed research model.

This study's results show that social interaction-oriented content in broadcasters' live speech has an inverted U-shaped relationship with broadcast viewers' purchasing behavior and shares a positive linear relationship with viewers' gift-giving behavior. Furthermore, broadcaster popularity significantly moderates the effect of social interaction-oriented content on viewers' purchasing and gift-giving behaviors.

This research enriches the literature on live-streaming commerce by investigating how social interaction-oriented content in broadcasters' live speech affects broadcast viewers' product-purchasing and gift-giving behaviors from the perspective of broadcast viewers' attention. Moreover, this study provides some practical guidelines for developing live speech content in the live-streaming commerce context.

The purpose of this paper is to further theory development in the field of social entrepreneurship by developing a research agenda for examining organizational learning in social enterprises.

This paper anchors in the interpretive paradigm of learning. It draws on social entrepreneurship literature to identify unique features of social enterprises. These characteristics are then investigated from a situated learning perspective to develop research questions around the following themes: social structures enabling learning, boundaries, boundary objects, boundary roles and boundary interactions.

Boundaries are identified as loci around which critical learning interactions occur in social enterprises. The significance of studying implicit and explicit boundaries, knowledge brokering, boundary objects and boundary interactions for gaining novel insights into the social enterprise learning process is highlighted.

This paper assists the progression of academic discussion in social entrepreneurship from definitional debates to critical organizational-level phenomena. It brings to attention the importance of studying organizational learning in the unique context of social entrepreneurship for advancing organization theory. It informs practice by highlighting critical social structures, boundaries, agents and objects which need to be identified and managed for promoting learning in social enterprises.

Existing studies mostly rely on the static characteristics of team members, and there is still a lack of empirical investigation on how entrepreneurial team members make decisions through dynamic team process and how team members’ cognition influences team decision-making. The purpose of this study is to validate how entrepreneurial team heterogeneity affects team decision-making performance from the perspective of dynamic team process.

Drawing on the theory of input-process-output model, this study proposed and examined the mediating role of team interaction as well as the moderating role of proactive socialization tactics in the relationship between entrepreneurial team heterogeneity and decision-making performance. Based on a sample of 162 entrepreneurial teams that include pairing superiors and subordinates, hierarchical regressions and moderated mediation tests were used to test the hypotheses.

The research results show that the heterogeneity of entrepreneurial teams is positively correlated with both team interaction and decision-making performance. Team interaction plays a mediating role between entrepreneurial team heterogeneity and decision-making performance; information seeking of proactive socialization tactics moderates the impact of entrepreneurial team heterogeneity on team interaction.

Contributing to the literature on entrepreneurial team decision-making performance, this study identifies that proactive socialization tactics with a high level of information seeking can help entrepreneurial team members respond to environmental and organizational changes more effectively during team development and increase the effectiveness of team interaction. This finding helps us better understand the mechanism and context under which entrepreneurial heterogeneity may enhance the team’s decision-making performance.

This paper aims to develop a comprehensive model on intra- and interpersonal emotion regulation (ER) in hospitality and tourism (H&T) service encounters.

A critical review and reflection of ER research from multiple disciplines was conducted. Methodologies appropriate for investigating ER were also reviewed.

A comprehensive framework was proposed to outline key influential factors, processes and consequences of intra- and interpersonal ER in service encounters in the H&T industry. Methodologies integrating advanced tools were suggested to measure complex and dynamic emotion generation and regulation processes in social interactions from a multimodal perspective.

The researchers developed a comprehensive conceptual model on both intra- and interpersonal ER based on a critical review of the most recent psychological research on ER. Various theoretical and methodological considerations are discussed, offering H&T scholars a solid starting point to explore dynamic emotion generation and regulation processes in complex social settings. Moreover, the model provides future directions for the expansion of ER theories, which have been mostly developed and tested based on laboratory research.

The proposed model addresses two critical issues identified in emotion research in the H&T field: the lack of a dynamic perspective and the neglect of the social nature of emotions. Moreover, the model provides a roadmap for future research.