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The purpose of this paper is to investigate the relationship between customer interactivity and the value it realizes for employees and customers, that is, employee creativity and customer-perceived economic value, and to test the mediation role of knowledge exchange quality in this relationship.

A cross-sectional empirical study using pairing data collected from the employees and customers of a high-contact service industry is designed to test the research model. Customers and employees in 75 hotels in China are surveyed. Equation model analysis is performed with SPSS and Amos.

Customer interactivity has a positive effect on the employee creativity and customer-perceived economic value, and the quality of knowledge exchange mediates the two processes.

The findings provide suggestions for managers to take action to promote interactions between customers and employees and to encourage them to actively participate in the value creation process. Additionally, enterprises can establish a knowledge integration mechanism to improve the quality of knowledge exchange.

This study explores the value of interaction from the perspective of both sides of the interaction, enriching and expanding the theory of interaction. Few studies simultaneously consider the value of both parties in the interaction process. From a two-way perspective, this study extends the past unilateral angle to a multilateral perspective and clearly explains the mechanism behind continuous interaction. This study finds the key mediator variable – knowledge exchange quality – in how customer–employee interactions achieve value. It theoretically enriches the research on the interaction-value mechanism from the perspective of knowledge management.

This study aims to identify the effect of demographic factors on the relationship between academic contribution and university–industry knowledge exchange in Sri Lanka.

This study is of quantitative and explanatory type , which applied the deductive research method, and is conducted with minimum interference of researcher taking individual academics as the unit of analysis. The study collected data from 178 academics randomly through a structured questionnaire designed to analyze through statistical package for the social sciences and analysis of a moment structure statistical software. A structural equation model is applied to collected data to explore the moderating impact of the demographic factor on the university–industry knowledge exchange.

Overall involvement of academic staff in joint research, contract research, human resource mobility and the training with industry were was low in Sri Lanka. However, all four independent variables significantly associated with the knowledge exchange process from which only joint research and training had a statistically significant effect on university–industry knowledge exchange . Concerning demographic factors, only the quality of academic research significantly moderated the relationship between academic contribution and university–industry knowledge exchange process in Sri Lanka.

This study considered only the university side of the university–industry knowledge exchange process.

This paper implies that gender, age and area of specialization did not have significant power to moderate the relationship between academic contribution and university–industry knowledge exchange process.

There is a lack of research literature discussing the moderating effect of demographic factors on the university–industry knowledge exchange process. In Sri Lanka, money and commercial benefits that received through industry partnerships had not been valued by academics. The majority considered the connection with industry and exchange knowledge as a responsibility that they should perform in return to free education received from grade one to graduation.

With an emphasis on displaced aggression theory and social exchange theory, this study aims to investigate the harmful effects of exploitative leadership (EL) on employee creativity (EC) through the mediating role of knowledge hiding (KH). Moreover, this study examines the boundary effects of leader–member exchange (LMX) to explore conditions under which KH is more or less likely to occur.

The study employed time-lagged (i.e. three-wave), multisource (i.e. self-rated and peer-rated) research design to collect data from employees working in Pakistani service sector organizations. The study analyzed 323 responses using SMART PLS (v 3.3.3) to assess the measurement model and the structural model.

The findings reveal that EL is positively related to KH and negatively related to EC. The results also show partial mediating role of KH in the indirect relationship between EL and EC. Besides, the study also found that LMX moderates the positive relationship between EL and KH, and the negative relationship between EL and EC.

The study divulges interesting findings that subordinates at high-quality LMX relationships (i.e. in-group members) are more susceptible to the harmful effects of supervisory unjust treatment than at low-quality LMX relationships (i.e. out-group members). Thus, occurrence context of KH, i.e. EL should be minimized through appropriate organizational interventions.

This study contributes to the leadership and knowledge management literature by testing a hitherto unexplored moderated mediation model.

Nowadays, the agri-food sector is facing several challenges due to a rapid technological change which calls for knowledge sharing (KS) practices to enhance businesses’ performance. This has spurred a collaborative approach and the creation of networks. Since there still is a paucity of research on the quality degree of KS, the purpose of this study is to offer an empirical research on the quality degree of KS by exploring outcome expectations and social exchange dimensions. Theoretically, it is examined by a double lens of social capital and social cognitive theory.

This study offers an empirical analysis of 313 directors of 11 “consortia” in the agri-food sector in Italy by using the fuzzy expert system. The model allows to aggregate multi criteria dimensions of KS and rates its quality.

As resulted, the quality degree of KS is influenced by outcome expectations – personal and community expectations – and three forms of dimensions of social exchange: structural, relational and cognitive. The paper ends with a discussion of research findings, its limitations and implications.

As there is still a paucity of research on the determinants of quality degree of KS, the research adopts a double lens of social capital and social cognitive theories to explore what are these determinants.

This study aims to develop a conceptual model to understand how customer knowledge management (CKM) affects fitness club membership renewal through the mediation of relationship quality.

Data were collected outside of fitness clubs using a systematic sampling method. A total of 224 valid responses were collected. Structural equation modelling was used to evaluate the relationship between the constructs of the research model.

The results indicate that both knowledge from customers and knowledge for customers have a positive influence on customer satisfaction and customer trust. Among them, knowledge for customers has a stronger influence on customer satisfaction while knowledge from customers has a greater influence on customer trust. Additionally, three dimensions of relationship quality (customer satisfaction, customer trust and customer commitment) positively influence membership renewal intention with customer commitment exhibiting the greatest influence on it.

This study combines the theories of CKM and relationship quality management to explain why members will renew their service contracts. By using fitness clubs as an example, this research extends the authors' understanding of how knowledge from and for customers can influence customers' attitudes and behavioural intentions towards service companies.

The team members’ expertise has been shown to increase team effectiveness when it is actively coordinated. While in face-to-face teams such expertise coordination unfolds through direct interaction, expertise coordination in dispersed teams is unlikely to evolve automatically. In this context, shared leadership, that is, the distribution of leadership influence across multiple team members is argued to serve as initiating mechanism for expertise coordination.

The purpose of this paper is to investigate longitudinal features of an established social question-answering (Q&A) site to study how question-answer resources and other community features change over time.

Statistical analysis and visualisation was performed on the full data dump from the Stack Overflow social Q&A site for programmers.

The timing of answers is as strong a predictor of acceptance – a proxy for user satisfaction – as the structural features of provided answers sometimes associated with quality. While many questions and answer exchanges are short-lived, there is a small yet interesting subset of questions where new answers receive community approval and which may end up being ranked more highly than early answers.

As a large-scale data oriented research study, this work says little about user motivations to find and contribute new knowledge to old questions or about the impact of the resource on the consumer. This will require complementary studies using qualitative and evaluative methods.

While content contribution to social question-asking is largely undertaken within a very short time frame, content consumption is usually over far longer periods. Methods and incentives by which content can be updated and maintained need to be considered. This work should be of interest to knowledge exchange community designers and managers.

Few studies have looked at temporal patterns in social Q&A and how time and the moderation and voting systems employed may shape resource quality.

Suppliers are essential partners in innovation projects, as they own resources, knowledge assets and capabilities that complement those of buying firms. In today’s competitive environment, firms may choose to collaborate with suppliers beyond dyads, forming triadic or three-party relationships. Using the theoretical lens of the relational view (RV), this study aims to explore what type of triad configurations firms use to govern supplier relationships in collaborative innovation projects, how they choose to share resources and implications for project performance.

The authors use interview data from buyers and suppliers in six case studies of firms involved in ten collaborative innovation projects. The four constructs of the RV are used to observe how firms govern triadic relationships, combine complementary resources, invest in relationship-specific assets and manage information and knowledge exchange with and between suppliers in innovation projects.

Four archetypes of triadic relationships in innovation projects – labeled Triangle, A-frame, D-Frame and Line – are presented and characterized in terms of their structural and relational features. The authors discuss how each triad archetype is applicable to different innovation projects according to specific project characteristics.

This study is pioneering in its empirical examination of triadic relationships in collaborative innovation projects. It provides a novel typology of four archetypes of triad from the perspective of collaborative relationships with suppliers. Through applying the RV, it advances understanding of how triadic relationships are governed, how they invest in relationship-specific assets, how they combine complementary resources and how they exchange knowledge and information in each type of triad appropriate to different innovation project settings. To date, much of the extant literature has focused on dyads.

High‐tech industry has been the principal economic source for Taiwan in recent years. The characteristics of high‐tech industries in Taiwan are changeable product markets, short product life cycles and high company attrition rate. In the globalization trend, the high‐tech industry has gradually increased corporate competitiveness and reached the goal of sustainable operations through knowledge management, knowledge sharing and new product research and development. Firms have aggressively strengthened and integrated their internal and external resources and enhanced knowledge sharing to increase industry operational performance. Effectively strengthening the knowledge management operation and performance evaluation of knowledge sharing in Taiwan’s high‐tech industry has become a critical issue. In the selection of knowledge sharing Key Performance Indicators (KPI), this research divided the knowledge sharing indicators into representative strategic indicators such as organizational knowledge learning, organizational knowledge resources, organizational information capacity and organizational knowledge performance through screening using Factor Analysis. The characteristics of the constructs were interdependent. This research calculated and adjusted the correlation among the key performance knowledge sharing indicators using ANP and determined the relative weight of knowledge sharing.

Research unveiled that interdisciplinary health-care teams are often found to be ineffective because of deprived team mechanisms. Considering effective team functioning, a leader’s non-cognitive abilities, knowledge-sharing behavior and the role of culture remain central concerns of health-care teams. This study aims to investigate how a leader’s emotional intelligence (EI) in a prevailing team culture can nurture the sharing of knowledge and enhance team EI that influences team performance.

The authors used multisource data representing a sample of 195 teams (735 respondents) to examine the hypothesized relationships by using the analytic strategy of partial least squares-structural equation modeling. This study bridged the methodological gap by using the repeated indicator approach that includes the reflective-formative second-order hierarchical latent variable model.

The results revealed a standpoint that leaders practicing the ability of EI influences team performance by understanding each other emotions in the leader–member relationship. Further, culture adds value and maps knowledge-sharing behavior which is tailored and beneficial for effective team outcomes.

This study provides valuable inputs by articulating uniquely modeled variables for health-care teams confronting high work demands. This study highlights that leaders' EI can enhance understanding of the emotions of the team and can exchange information by harnessing knowledge-sharing behavior amongst professionals.

This study provides a novel contribution by integrating leaders’ EI, knowledge-sharing behavior, the role of culture and team performance in a single framework. The integrated theoretical model sheds light on team working in the health-care setting and advances the understanding of a leader’s EI and team culture through mapping knowledge sharing particularly being central to enhancing team performance.