Search results

Despite the knowledge transfer between projects has received increasing attention from scholars, few scholars still conduct comprehensive research on inter-project knowledge transfer from both horizontal and vertical perspectives. Besides, knowledge transfer is affected by multiple antecedent conditions, and these factors should be combined for analysis. Therefore, this paper aims to explore the key factors influencing knowledge transfer between projects using the fuzzy-set qualitative comparative analysis (fsQCA) method from both horizontal and vertical perspectives and how these factors combine to improve the effectiveness of knowledge transfer (EKT) between projects.

First, nine factors affecting knowledge transfer between projects were identified, which were from the four dimensions of subject, relationship, channel, and context, namely temporary nature (TN), time urgency (TU), transmit willingness (TW), receive willingness (RW), trust (TR), project-project transfer channels (PPC), project-enterprise transfer channels (PEC), organizational atmosphere (OA), and motivation system (MS). Then, the source of the samples was determined and the data from the respondents was collected for analysis. Following the operation steps of the fsQCA method, variable calibration, single condition necessity analysis, and configuration analysis were carried out. After that, the configurations of influencing factors were obtained and the robustness test was conducted.

The results of the fsQCA method show that there are five configurations that can obtain better EKT between projects. Configuration 3 (∼TN * ∼TU * TW * RW * TR * ∼PPC * PEC * MS) has the highest consistency, indicating that it has the highest degree of the explanatory variable subset. Configuration 1 (∼TN * ∼TU * TW * RW * PEC * OA * MS) has the highest coverage, meaning that this configuration can explain most cases. Also, the five configurations were divided into three types: vertical transfer, horizontal-vertical transfer, and channel-free transfer category.

Firstly, this study explores the key factors influencing knowledge transfer between projects from four dimensions, which presents the logical chain of influencing factors more clearly. Then, this study divided the five configurations obtained into three categories according to the transfer direction: vertical, horizontal-vertical, and channel-free transfer, which gives implications to focus on both horizontal knowledge transfer (HKT) and (VKT) when studying knowledge transfer between projects. Lastly, this study helps to realize the exploration of combined improvement strategies for EKT, thereby providing meaningful recommendations for enterprises and project teams to facilitate knowledge transfer between projects.

Although knowledge transfer in the context of projects and project-based organizations (PBOs) has gained increasing attention from academia and industry, it is not clear how knowledge transfers from projects to their parent PBOs. This research aims to explore the main factors influencing knowledge transfer from projects to their parent PBOs, and analyze how these factors integrate the transfer process as system components using the system dynamics (SD) method.

Based on the literature review, investigation and interview, this paper adopts the event analysis to obtain the influencing factors from historical cases and establishes a conceptual model of knowledge transfer from five dimensions, which simultaneously considers the knowledge sender, knowledge receiver and the relationship between the knowledge sender and receiver, knowledge features and transfer context. Then, the relationships between variables in the qualitative model were clarified, and a quantitative model including seven feedback loops was established using the SD model. Lastly, the system simulation and sensitivity analysis of the main parameters were realized in Vensim PLE software.

The simulation analysis results show that the model can simulate the knowledge transfer process from projects to the PBO to a certain extent. This research fully demonstrates the impact of variables from five dimensions on knowledge transfer and incorporates the knowledge gap and transfer threshold in the research category. Moreover, the rationality of seven feedback loops proposed in the model was verified. And the effects of various factors on the amount of knowledge transferred and the PBO's knowledge stock were examined through sensitivity analysis. Furthermore, recommendations for developing an integrated knowledge transfer mechanism of PBOs and projects to enhance transfer effect are offered.

This research provides other researchers with a systematic understanding of transfer process from projects to PBOs, and insight for further research on knowledge transfer in project and organization contexts. Furthermore, this study guides researchers to focus on the causal processes that constitute knowledge transfer and explores the expected and unexpected phenomena generated over time. However, some variables involved in the transfer process are simplified, and the establishment of a more complex dynamic model needs further research and discussion.

By establishing a simulation model for knowledge transfer from projects to their parent PBOs, this study helps project teams and PBOs grasp the overall picture of the transfer process. Especially, this paper provides target-oriented recommendations for project and PBO managers to implement effective knowledge transfer practices, which have certain practical values for knowledge cultivation, coordination, reuse and innovation in the organization.

This study contributes to knowledge management and project management literature by simulating the knowledge transfer process from projects to their parent PBOs. Additionally, this paper provides a reference for PBO and project managers to establish an integrated knowledge-transfer mechanism in the work process and comprehensively implement effective knowledge transfer practices.

Despite the knowledge transfer in project contexts which has been extensively studied by scholars, the study on inter-organizational knowledge transfer in international construction projects is still scattered and unsystematic. This research aims to explore the key factors influencing inter-organizational knowledge transfer of international construction projects and analyze how these factors interact to create a synthetic framework that enhances the effectiveness of knowledge transfer (EKT).

At first, eight factors influencing inter-organizational knowledge transfer within international construction projects were identified, which were from the four dimensions of subject, relationship, channel and context, namely cultural distance, connection strength, organizational climate, intercultural competence, information technology capability, transmit willingness, receive willingness and richness of transfer channels. Then, a conceptual model was developed and 13 hypotheses were formulated, which were derived from a literature review and in-depth survey. After that, data from 353 respondents were collected and analyzed, and the hypotheses were tested by structural equation modeling analysis and bootstrapping test.

The results suggest that cultural distance hinders transfer willingness, which further affects EKT. Connection strength affects EKT by positively influencing transfer willingness and channel. Besides, organizational climate and intercultural competence positively influence transfer willingness and further affect EKT, while information technology capability affects the richness of transfer channels.

This research gives a thorough examination of the determinants influencing inter-organizational knowledge transfer of international construction projects, thus formulating available approaches that project managers and personnel can employ to effectively facilitate EKT.

This paper aims to explore the key factors affecting knowledge transfer within cross-cultural teams in international construction projects from three levels: individual factors, team factors and knowledge characteristics. It also provides a comprehensive framework to examine how trust, cultural distance, team identification, knowledge tacitness and complexity and members' transfer willingness impact knowledge transfer effectiveness within cross-cultural teams.

A conceptual model and 16 hypotheses were put forward through the literature review and pilot investigation. This study used structural equation modeling to examine how factors affect the effectiveness of knowledge transfer within cross-cultural teams based on the questionnaire data of samples from Chinese international construction projects.

The findings show that affect-based trust and team identification positively affect the willingness to contribute knowledge. Conversely, knowledge tacitness, knowledge complexity and cultural distance negatively influence contribute willingness. Moreover, affect-based trust, cognition-based trust and team identity positively affect receive willingness, while cultural distance negatively impacts receive willingness. Additionally, affect-based and cognition-based trust, knowledge tacitness and complexity affect transfer effectiveness through the full mediation of transfer willingness, while cultural distance and team identity affect transfer effectiveness through the partial mediation of transfer willingness.

On the one hand, this research provides a holistic framework for factors affecting knowledge transfer within cross-cultural teams from three levels: individual factors, team factors and knowledge characteristics. On the other hand, the paper gives other researchers in international project management the enlightenment of focusing on members' cultural structure and the cross-cultural training of the team.

This study offers the direction for cross-cultural team managers to formulate helpful approaches for knowledge transfer and assist corporate leaders in taking integral control measures to enhance knowledge transfer effectiveness within the team.

This study provides other researchers with a comprehensive understanding of the key factors affecting knowledge transfer within cross-cultural teams in international construction projects and insight for further research on project management and knowledge management.

This study explores whether the peer effects of internationalization exist within the subdivision industry of enterprises in the engineering field and assesses the imitation paths for the peer engineering enterprises within the industry when implementing internationalization strategies under the peer effects.

This study collected secondary and objective data on 38 Chinese engineering enterprises from the Engineering News-Record's list of the top 250 international contractors between 2013 and 2021. It employed a regression analysis to test the research hypotheses.

The findings reveal that in the process of internationalization: (1) peer effects exist within the subdivision industry of internationalization of engineering enterprises; (2) engineering enterprises within the same industry and region imitate each other; (3) non-state-owned engineering enterprises imitate state-owned engineering enterprises within the same industry; and (4) in the industry follower–leader imitation process, industry followers imitate leaders according to enterprise size and return on assets.

The results contribute to a better understanding of how peer effects influence engineering enterprises' internationalization process. This study also proposes imitation paths based on the law of imitation to provide recommendations for engineering enterprises' better development in the international market.

Drawing on signaling theory and social capital theory, this study aims to examine the underlying mechanisms and contingencies of the relationships between social capital (SC) and collaboration in buyer-supplier relationships (BSRs). This is achieved by evaluating the mediating effect of psychological contract fulfillment (PCF) and the moderating roles of guanxi orientation and market uncertainty.

The current study used a survey method to collect data from 271 buyers in China. Structural equation modeling (SEM) and moderated regression analysis were applied to examine the hypotheses.

The positive effect of structural and relational SC on buyers’ collaborative behaviors is partially mediated by buyers’ PCF. In contrast, the positive effect of cognitive SC on collaboration is fully mediated by buyers’ PCF. Guanxi orientation strengthens the indirect effect of buyers’ PCF on the cognitive SC-collaboration relationship and relational SC-collaboration relationship. Market uncertainty amplifies the relational SC-collaboration relationship.

Prior studies have presented mixed evidence of the effect of SC on collaboration and have paid little attention to the underlying mechanisms and conditions moderating the effect. This research proposes a theoretical model that integrates signaling theory and social capital theory to explore how three dimensions of SC can enhance buyer collaboration through buyers’ PCF under different levels of guanxi orientation and market uncertainty.

The purpose of this paper is to investigate effects of two integrative mechanisms of third-party logistics (3PL) integration (i.e. information sharing and process coordination) between users and providers on relationship satisfaction, and further explores how partnership-surrounding (e.g. legal unprotectability) and partnership-specific barriers (e.g. measurement difficulty and cooperation difficulty) influence 3PL integration in the context of Chinese 3PL practices.

Using data collected from 247 3PL users in China, this study uses the structural equation modeling method to empirically examine the relationship among partnership-surrounding/specific barriers, 3PL integration and relationship satisfaction.

The results show that information sharing has no significant effect on relationship satisfaction, while process coordination has a positive effect on relationship satisfaction and partially mediates the relationship between information sharing and relationship satisfaction. Furthermore, as partnership-specific barrier, measurement difficulty and cooperation difficulty are negatively related to information sharing and process coordination. Surprisingly, as partnership-surrounding barrier, legal unprotectability is not significantly related to information sharing but is positively related to process coordination.

As a comprehensive study on 3PL user-provider relationship in China, this study extends existing 3PL literature by providing evidence about the importance of 3PL integration and different types of barriers to 3PL integration, also providing managerial implications for 3PL users, providers, law and regulation makers about how to better implement 3PL integration in China.

This study aims to explore the effect of human resource (HR) strategy (e.g. empowerment and teamwork) on green supply chain integration (e.g. green supplier and customer integration), which further leads to economic performance. Moreover, the authors examined the moderating effects of information systems and mutual trust on the relationship between HR strategy and green supply chain integration.

Using the empirical data from 213 Chinese manufacturing firms, this study uses structural equation modeling and hierarchical regressions to examine the conceptual model.

The study’s findings reveal that empowerment and teamwork positively enhance green supplier and customer integration. Green supplier and customer integration are positively related to economic performance. Moreover, information systems positively moderate the relationship between empowerment and green supplier integration but negatively moderate the relationship between teamwork and green supplier/customer integration. Mutual trust positively moderates the relationship between empowerment and green supplier integration and the relationship between teamwork and green customer integration.

This study extends the existing understanding regarding how to enhance green supply chain integration by adopting an appropriate HR strategy in the context of different levels of information systems and mutual trust.

The purpose of this study is to examine the effect of trust on user adoption of artificial intelligence-generated content (AIGC) based on the stimulus–organism–response.

The authors conducted an online survey in China, which is a highly competitive AI market, and obtained 504 valid responses. Both structural equation modelling and fuzzy-set qualitative comparative analysis (fsQCA) were used to conduct data analysis.

The results indicated that perceived intelligence, perceived transparency and knowledge hallucination influence cognitive trust in platform, whereas perceived empathy influences affective trust in platform. Both cognitive trust and affective trust in platform lead to trust in AIGC. Algorithm bias negatively moderates the effect of cognitive trust in platform on trust in AIGC. The fsQCA identified three configurations leading to adoption intention.

The main limitation is that more factors such as culture need to be included to examine their possible effects on trust. The implication is that generative AI platforms need to improve the intelligence, transparency and empathy, and mitigate knowledge hallucination to engender users’ trust in AIGC and facilitate their adoption.

Existing research has mainly used technology adoption theories such as unified theory of acceptance and use of technology to examine AIGC user behaviour and has seldom examined user trust development in the AIGC context. This research tries to fill the gap by disclosing the mechanism underlying AIGC user trust formation.

This study examines the effect of relational investments (e.g. supplier involvement and commitment, customer involvement and commitment) on supply chain quality integration (e.g. supplier and customer quality integration), which leads to financial performance. Moreover, the authors explore the moderating effects of legal bonds on the relationship between relational investments and supply chain quality integration.

A survey study of manufacturing firms is presented to illustrate the conceptual model. The authors use the data from 213 manufacturing firms to test the hypotheses by structural equation modeling.

The results show that supplier and customer quality integration are positively related to financial performance. Supplier involvement and commitment are positively related to supplier quality integration. Customer involvement is positively related to customer quality integration, but customer commitment is not significantly related to customer quality integration. Additionally, on the supplier side, legal bonds negatively moderate the relationship between supplier involvement and supplier quality integration but positively moderate the relationship between supplier commitment and supplier quality integration. On the customer side, legal bonds do not moderate the relationship between customer involvement and customer quality integration, but negatively moderate the relationship between customer commitment and customer quality integration.

This study provides novel insights into supply chain quality management from relational perspectives, as well as the contingent role of legal bonds between them.