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The paper aims to understand how knowledge-intensive teams can develop and enhance their team absorptive capacity (ACAP) level, by exploring whether individual and organizational factors are complements or substitutes for team ACAP.

The study applies a configurational approach using fuzzy-set qualitative comparative analysis to identify combinations of individual and team factors that are associated with team ACAP. Data were gathered through a survey among 297 employees of four medium-sized Dutch firms, working in 48 functional teams.

The primary finding is that knowledge-intensive team ACAP depends on a triad of complementary factors: team members’ individual ACAP, factors that enable knowledge integration and factors that motivate knowledge integration. Underdevelopment of one or more factors leads to lower team ACAP.

The study contributes to the discussion on the locus of knowledge-creation and enhances understandings of why knowledge-intensive teams differ in knowledge processing capabilities. It suggests future research on cross-functional teams in new ventures and large firms.

The paper informs managers and team leaders about the factors that determine knowledge-intensive teams’ ACAP, enabling them to develop team-specific strategies to increase their teams’ performance.

The study takes a holistic perspective on knowledge-intensive team ACAP by using a configurational approach. It also highlights the potential of team-level research in the knowledge management literature for both researchers and practitioners.

This study aims to assess the following question: “which information processing approach, formalization or centralization, responds to procurement complexity and how does this affect procurement performance in knowledge-intensive procurements?”

This study draws on a survey of 294 Project Managers with recent experience of knowledge-intensive procurement. It uses AMOS version 21 to perform confirmatory factor analysis and structural modeling to assess the hypotheses.

The findings suggest that procurement complexity directly encourages formalization and that formalization has significant, positive effects on procurement performance. Centralization, on the other hand, appears not to respond to procurement complexity and has negligible effects on procurement performance.

Drawing on information processing theory, this study highlights the importance of two information management approaches in knowledge-intensive procurement, and that such procurement situations share similarities with new product development and other innovation-rich, team-based activities. Knowledge-intensive procurement situations, therefore, require different information management practices than other types of procurement.

The findings suggest that procurement complexity directly encourages formalization and that formalization has significant, positive effects on procurement performance. Centralization, on the other hand, appears not to respond to procurement complexity and has negligible effects on procurement performance.

The study is the first to examine information management approaches (formalization and centralization) in knowledge-intensive procurement as responses to project complexity, and as contributors to procurement performance.

Based on the Job Demands-Resources (JD-R) model, this paper aims to investigate the impact of team climate (TC) supporting trust, cohesion and innovativeness on knowledge management (KM) in teams through the mediating role of teamwork engagement (TWEG).

Data were collected from 246 employees working in Tunisian knowledge-intensive firms (KIFs) and involved in 69 service R&D teams. The authors applied the partial least squares-structural equation modeling approach for data analysis using SMART PLS 3.2 software.

Findings provide evidence that TWEG mediates the link between TC characterized by trust, cohesion and innovativeness and KM in teams. In the line of the JD-R model, results also show that such TC provides job resources to team members that act as vitamins nurturing TWEG, which in turn boosts KM in teams.

To shed light on the micro-level foundations of KM, this paper enriches the KM literature through pioneering the examination of the effect of TC on KM in teams. It proposes an extension of the JD-R model through highlighting the TWEG’s mediating role in the motivational pathway leading teams to invest in KM activities under a supportive TC. It provides key insights into the importance for managers to implement team-oriented policies toward cultivating trust, innovativeness and cohesion within teams to create more dedicated, vigorous and absorbed teams in which intrinsically motivated knowledge workers are likely to collectively engage in KM activities.

Building on the resource-based view of the firm and complex systems theory, we argue that the effective utilization of knowledge-intensive teamwork (KITwork) can be a source of sustained competitive advantage for firms that pursue a variety of strategies and compete in a variety of industries. KITwork is a multi-dimensional, multi-level social process that promotes knowledge flows within and between organizations. Through KITwork, the knowledge resources of individual employees are transformed into a capability that contributes to the effectiveness of knowledge-based organizations. After introducing and explaining the concept of KITwork, we explore the challenges that organizations must address in order to design HRM systems that support and facilitate KITwork.

This study seeks to examine how the quantitative semantics of the learning curve phenomenon can be employed in order to derive monetary information for team learning observed within knowledge‐intensive production environments.

Software development is selected as an identical example of a team‐based, knowledge‐intensive production environment. The interaction of learning rate of the developer teams and the improvements on their average solving time (i.e. productivity) is modelled as a Lotka‐Volterra predator‐prey interacting populations system establishing a causal relationship between the human capital (HC) of organizational teams and the observed learning curve effects on their performance. In addition, empirical evidence illustrates that the estimated learning rates capture the entire range of team learning effects on performance fluctuations caused by the HC.

The fluctuations on the learning rates can be interpreted as a result of the HC variability across the population of developer teams. Hence, the cost implications of the HC within knowledge‐intensive production environments can be rationalised using the quantitative semantics of the learning curve phenomenon

The learning curve is associated with the cost side of the organizational income‐generating process limiting its potential valuation applications for team learning observed within the context of the production environments.

The study offers a theoretical justification, supported by empirical evidence, for employing the mathematical expression of the learning curve paradigm to rationalize the financial consequences of team learning observed within production environments.

The purpose of this paper is to provide new insights for managing knowledge reuse in terms of the duality of innovator personality. Continuously developing new products is crucial for firms to maintain and enhance their competitive advantages. However, the limited and highly specialized knowledge can cause innovators of firms to face difficulties in the process of new product development (NPD). In this setting, knowledge reuse becomes a solution that may benefit innovators to overcome the innovation dilemma. Given the fact that innovators with different personality are likely to form incongruent cognitions and affection on knowledge reuse, thus subsequently affecting the performance of NPD, there is an urgent need to investigate the effects of innovator personality in the entire process of knowledge reuse.

This paper exploits five-factor model (FFM) of personality to comprehensively investigate the dual effects of innovator personality in managing knowledge reuse based on the two distinct sets of knowledge reuse initiation and implementation.

By using the data from 981 innovators of knowledge-intensive firms in China, this study finds that the FFM traits of conscientiousness and agreeableness had opposing effects on initiation and implementation of knowledge reuse. While the FFM traits of emotional stability and openness to experience both positively affect the knowledge reuse initiation and implementation. Moreover, the FFM traits of extraversion benefit the shaping of knowledge reuse initiation whereas encumbering the implementation of knowledge reuse.

First, this study reveals the different roles of cognitive and affective traits of personality in shaping knowledge reuse. Second, this study exposes the role of innovator personality in determining the performance effects of knowledge reuse implementation. Third, this study highlights the dual effects of innovator personality in managing knowledge reuse. This study offers evidence for arranging the innovators with appropriate FFM traits in various stages of knowledge reuse.

This paper aims to further research on leadership and knowledge management through formal knowledge strategies in knowledge-intensive organizations (KIOs), and analyse knowledge management challenges and approaches within KIOs, especially tacit knowledge.

This paper is based on conceptual and literature research.

Managing knowledge as an organizational asset involves how knowledge is obtained, stored and organized, and accessed and shared when needed. This is crucial for KIOs. Knowledge that is not captured, understood and transferred, throughout the organization, is useless. This requires the integration of systems and processes with people and leadership. Tacit knowledge generation and transfer is especially important in KIOs. In particular, the success of KIOs depends crucially on management’s ability to give leadership in a way that supports knowledge-intensive teamwork. The global nature of internal and external knowledge networks adds to the leadership challenge. This can be made more complex by cultural differences, intellectual property protection (formal and informal) and talent scarcity.

Further research is needed to identify the types of KIO and to better understand sound common knowledge management and related leadership principles across all types of KIO and those that are more context-dependent on the type of KIO and/or its business and cultural context. More research is needed on policy making organizations, in-company policy-making research and development and creative industries.

The paper takes forward research on leading knowledge management in KIOs and introduces 14 challenging new papers in this specific field of research.

We use experiential learning theory to develop new conceptual insights into offshore outsourcing of innovation. In particular, we show how offshore vendor firms are able to overcome liability of outsidership and eventually learn how to innovate on behalf of their onshore clients as a result of their embedment with clients across multiple teams. We theorize that the cross-border relocation of innovative activities from a client firm to an offshore vendor is only possible when teams within the vendor team have assumed a double-loop learning capability from the client allowing them to determine governing variables relating to the client’s organizational environment. Through direct on-the-job experience working with each other, international teams comprised in part from the vendor and in part from the client can undergo different learning transitions, which we classify as either relationship-oriented or task-oriented. These transitions determine the extent to which double-loop learning can be developed in offshore locations and are influenced by intra-team dynamics and the way the joint teams organize and manage themselves. Our perspective has implications for our understanding of organizational designs associated with both client and vendor multinational enterprises seeking to benefit from innovation in offshore outsourcing.

This study aims to investigate the relevance of knowledge-oriented leadership (KOL) to technology standard innovation (TSI) from a temporary-team perspective. The mediating and moderating effect on knowledge integration (KI) and leader–member exchange (LMX) is emphasized.

The conceptual model is built based on an exhaustive literature review and is empirically tested in terms of a sample of 341 Chinese individuals with TSI experience. Quantitative analysis was performed using a questionnaire with the bootstrapping method used to demonstrate the mediating effect of KI.

The empirical results of this study prove that KI mediates the relationship between KOL and TSI. The authors deduce that LMX moderates the positive relation between KOL and KI.

Few studies have investigated the innovation activities of technology standards from a temporary-team perspective. To the best of the authors’ knowledge, this is the first study to look into the underlying mechanism of KOL in TSI. This research deepens the analysis by introducing LMX’s moderating role in the innovation process of technology standards, thereby providing valuable insights for leaders of innovation activities of technology standards and illuminating new aspects of knowledge-intensive temporary-team management.

As a kind of knowledge-intensive team coordinated across physical distance, it is necessary to construct a meta-knowledge driven transactive memory system (TMS) for the knowledge management of distributed agile team (DAT). This study aims to explore the comprehensive antecedents of TMS establishment in DATs and considers how TMS establishment is affected by herding behavior under the artificial intelligence (AI)-related knowledge work environment that emerges with technology penetration.

The data derived from 177 students of 52 DATs in a well-known Chinese business school, which were divided into 26 traditional knowledge work groups and 26 AI-related task groups to conduct a random comparative experiment. The ordinary least squares method was used to analyze the conceptual model and ANOVA was used to examine the differences in herding behavior between the control groups (traditional knowledge work DATs) and treatment groups (DATs engaged in AI-related knowledge work).

The results showed that knowledge diversity, professional knowledge, self-efficacy and social system use had significantly positive effects on the establishment of TMS. Interestingly, the authors also find that herding behavior may promote the process of establishing TMS of the new team, and this effect will be more significant when AI tasks are involved in team knowledge work.

By exploring the comprehensive antecedents of the establishment of TMS, this study provided a theoretical basis for knowledge management of DATs, especially in AI knowledge work teams. From a practical perspective, when the DAT is involved in AI-related knowledge works, managers should appropriately guide the convergence of employees’ behaviors and use the herding effects to accelerate the establishment of TMS, which will improve team knowledge sharing and innovation.