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How knowledge exchange (KE) can be used for the continuous assessment and improvement of collaborative performance of project-based organisations in construction is explored. Collaboration on construction projects must be facilitated by people alongside practice of continuous performance assessment and improvement. Currently available assessment tools fail to explicitly define appropriate behaviours and actions due to a poor understanding of what it means for people to collaborate. In contrast, it is established that KE is the focus of collaborative efforts on construction projects; therefore, as most knowledge resides with people, it represents their role in collaboration. The paper aims to discuss these issues.

Through a phenomenological/interpretivist and qualitative methodology, how KE can be used for the continuous assessment and improvement of collaborative performance in project-based organisations in construction is explored. A single case study of a UK rail strategic alliance was adopted and six semi-structured interviews were conducted and analysed through a thematic analysis.

An assessment tool is proposed based on a set of 20 characteristics of KE, divided into seven categories and linked to indicators of collaboration. The tool can be applied to highly collaborative projects where BIM and Lean are implemented, and project participants are collocated. By measuring their performance against the set criteria, project teams can assess which of their behaviours and actions are inappropriate, and focus their efforts on correcting them.

Defining the abstract indicators traditionally used to assess collaboration in terms of characteristics pertinent to day-to-day communication amongst participants on collaborative projects to facilitate the continuous assessment and improvement of collaborative performance.

Selecting suitable and competent partners is an important prerequisite to improve the performance of collaborative product innovation (CPI). The purpose of this paper is to propose an integrated multi-criteria approach and a decision optimization model of partner selection for CPI from the perspective of knowledge collaboration.

First, the criteria for partner selection are presented, considering comprehensively the knowledge matching degree of the candidates, the knowledge collaborative performance among the candidates, and the overall expected revenue of the CPI alliance. Then, a quantitative method based on the vector space model and the synergetic matrix method is proposed to obtain a comprehensive performance of candidates. Furthermore, a multi-objective optimization model is developed to select desirable partners. Considering the model is a NP-hard problem, a non-dominated sorting genetic algorithm II is developed to solve the multi-objective optimization model of partner selection.

A real case is analyzed to verify the feasibility and validity of the proposed model. The findings show that the proposed model can efficiently select excellent partners with the desired comprehensive attributes for the formation of a CPI alliance.

Theoretically, a novel method and approach to partner selection for CPI alliances from a knowledge collaboration perspective is proposed in this study. In practice, this paper also provides companies with a decision support and reference for partner selection in CPI alliances establishment.

This study aims to take a whole-of-chain perspective to explore how entrepreneurial orientation (EO) influences collaborative performance in agri-food value-chains through enhancing the acquisition of knowledge.

Data were collected through a survey of 233 actors, including farmers, intermediaries and retailers in one beef cattle value-chain in the Central Highlands, Vietnam. Structural equation modeling was used to test hypotheses.

The actors’ level of EO within a value-chain is positively associated with collaborative performance within the beef value-chain. Additionally, knowledge acquisition partially mediates the relationship between EO and collaborative performance.

Generalizability is limited because of sampling constraints.

To the best of the authors’ knowledge, this is the first study of EO from a whole-of-chain perspective in agri-food value-chains in an emerging economy and has implications for policymakers and agri-food marketers.

Despite the large literature base associated with dyadic collaboration, its knowledge-based antecedents are still not well understood. The purpose of this paper is to better understand those antecedents and to explore why the supply chain (SC) literature has found mixed results regarding knowledge transfer and absorptive capacity in dyadic collaboration research.

The critical incident technique (CIT) was utilized, using qualitative semi-structured interviews to refine a proposed research model. In total, 43 executives were interviewed each providing a description of both a successful and an unsuccessful SC dyadic collaboration. The interviews were analyzed to better understand the knowledge-based antecedents of buyer–supplier collaboration.

This study suggests that dyadic collaboration and subsequent outcomes are improved by successful knowledge transfer. Additionally, knowledge transfer requires both distributive and absorptive capacities in each participant. The research also uncovered new evidence to support the need for a collaborative orientation to support successful knowledge transfer.

The interviews conducted using the CIT provided a wealth of information and executive experiences in SC collaboration. However, the interviews only provide a single perspective of collaborative engagements. Multiple perspectives of each collaboration would add value to this research.

SC collaboration and knowledge transfer have been well studied across disciplines. This research introduces new knowledge-related variables that can contribute to successful collaboration: distributive capability and SC collaborative orientation.

The aim of this paper is to provide a comprehensive and detailed review of the state-of-the-art mechanisms of knowledge sharing (KS) in the supply chain (SC) field, as well as directions for future research. Briefly, this paper tries to offer a systematic and methodical review of the KS mechanisms in the SC to provide a comparative summary of the selected articles, to collect and describe the factors that have the influence on KS and SC, to explore some main challenges in this field and to present the guidelines to face the existing challenges and outlining the key areas where the KS mechanisms in SC can be improved.

In the current study, a systematic literature review up to 2018 is presented on the supply chain’s mechanisms of KS. The authors identified 21,907 papers, which are reduced to 25 primary studies through the paper-selection process.

The results showed that the KS in SC helps to increase the success of the organizations, improve employee performance, increase competitive advantage, enhance innovation and improve relationships between supplier and consumer. However, there were some weaknesses, such as staff resistance to share knowledge in the SC because of fear of job loss.

There are several limitations to this study. This study limited the search to Google Scholar. There might be other academic journals where Google does not find their paper and they can offer a more complete picture of the related articles. Finally, non-English publications were omitted from this study. It is possible that the research about the application of KS in SC can also be published in other languages. In addition, more studies need to be carried out using other methodologies such as interviews.

The paper presents a comprehensive structured literature review of the articles’ mechanisms of KS in SC. The paper’s findings can offer insights into future research needs. By providing comparative information and analyzing the current developments in this area, this paper will directly support academics and practicing professionals for better knowing the progress in KS mechanisms.

The purpose of this paper is to clarify the prerequisites for performance measurement supporting purchaser-supplier relationships and value co-creation. It also explains the causes for the limited use of collaborative measurement.

Four case companies representing different contextual settings are studied. The primary source of empirical material is an interview study addressed to 24 interviewees. The empirical data are analyzed according to the constructs created as a result of the literature review.

The results reveal that prevailing performance measurement practices represent a more transactional than relationship-oriented approach to purchaser-supplier collaboration. The technical prerequisites for collaborative performance measurement are mostly not fulfilled, inhibiting the use of performance measurement in a collaborative manner. It is proposed that the differentiation between project and process production types has implications on the importance of collaborative performance measurement.

The paper illustrates the desirable characteristics of performance measurement supporting collaboration. It also presents an application of collaborative performance measurement in a single case context. The research reveals the need to develop non-financial performance measures further in order to facilitate the more proactive use of performance measurement supporting true value co-creation between purchaser and supplier companies.

The empirical research on the topic of performance measurement in purchasing and supply management (PSM) is often limited to intra-organizational measurement and highlights transactional approach to collaboration between parties, although PSM research has otherwise acknowledged the importance of value creation and relationships between organizations.

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.

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.

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.

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.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Various factors can impact the exchange of knowledge that is vital to the success of collaborative performance. Focus in key areas helps to build all-important trust between project participants, positively impacts on cross-functional endeavor, and increases commitment toward achieving mutually beneficial goals.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Supply chain management represents a critical competency in today’s global business environment and has been the focus of considerable, but mixed, information systems research. The research described in this paper builds on work in multi‐agent systems to argue that intelligent agents offer excellent potential and capability for supply chain management, and contributes to discussion and theory pertaining to electronic markets and supply chain disintermediation. Argues that the knowledge associated with intermediation work represents a key mediating variable between disintermediating technology and supply chain efficacy and discusses how intelligent agent technology can be employed to both intermediate and disintermediate the supply chain, attaining the cost and cycle‐time benefits of disintermediation without the attendant loss of human knowledge and expertise. The paper outlines a number of implications for theory and practice in information systems, and it formalizes some important research questions through a contingency framework to help stimulate and guide future work along these lines.