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The purpose of this study is to explore the impact of asymmetric trust on construction project management performance in China's construction industry. Moreover, the authors explore the mediating role of two types of knowledge sharing (explicit knowledge sharing and tacit knowledge sharing) in explaining the association between asymmetric trust and project management performance.

A theoretical model based on the research hypotheses proposed in this study was developed and a questionnaire survey was conducted with 271 professionals. The data collected was analyzed by the structural equation modeling (SEM) technique.

The results of this study indicate that there is a significant and negative association between asymmetric trust and project management performance. Moreover, two types of knowledge sharing (explicit knowledge sharing and tacit knowledge sharing) have different degrees of impact on improving project management performance. In addition, tacit knowledge sharing is a mediator between asymmetric trust and project management performance.

The data used in this study is from Chinese scenarios, so the research conclusions and application effects based on this are bound to have certain regional limitations. Besides, there are many factors that affect project management performance improving, and the relationships among them are so complex. The theoretical model proposed in this study may not be fully considered. Therefore, follow-up researchers can consider bringing more suitable variables into their researches, so that the theoretical researches can be more in line with the actual project management practice, and the specific mechanism for improving project management performance can be explained more deeply.

This research's value is as follows: Firstly, this paper contributes to the trust and relational governance literature by expanding the research perspective of mutual trust to asymmetric trust. Specially, this research designs a measurement scale for asymmetric trust and then reveals the impact mechanism of it on project management performance, which will certainly promote research paradigm change of trust. Secondly, this research is beneficial to knowledge sharing literature in the construction management field by expanding the research scope of knowledge sharing from a cross-organizational perspective.

This paper aims to examine alliance governance at different hierarchical levels.

The data is collected from both top-level and operating-level managers in 286 strategic alliances in China (a total of 572 managers). Hierarchical moderated regression models are adopted to test the hypotheses and two-stage regression analyzes are used to correct for endogeneity.

This paper finds that relational governance has a greater impact on alliance performance than contract utilization at the top level. Furthermore, the simultaneous use of relational governance at the top and operating levels have a detrimental impact on alliance performance. Finally, top-level contract utilization has a negative interaction with operating-level relational governance but a positive interaction with operating-level contract utilization.

First, the cross-sectional nature of the data collection approach provides only a snapshot of how each type of governance mechanism and its interactions affect alliance performance. Second, the sample is limited to firms located in emerging markets.

Managers should realize that the effectiveness of contract and relational governance mechanisms varies across different management levels and they should be cautious about the cross-level governance mechanism alignment.

This study advances the interfirm governance literature in that this paper examined alliance governance at different hierarchical levels and provides new insights into the ongoing debate on whether the contract and relational governance mechanisms function as complements or substitutes by exploring the governance alignment across different alliance hierarchies.

The purpose of this paper is to develop a conceptual model and examine the relevance of a set of five dynamic drivers to building and sustaining the innovation capability of agri-food firms.

The empirical data were acquired through a recent study of 436 Greek agri-food firms. Regression analysis was employed to examine the correlation between innovation drivers and each of the four innovation capability dimensions, namely, product innovation, process innovation, organizational innovation and marketing innovation.

The findings verify that quality orientation and process management are the two most important innovation drivers. However, the impact of learning orientation, collaborations and environmental dynamism on a firm’s agri-food innovation capability is yet to be investigated.

This study has not investigated how firms’ characteristics form the drivers and barriers to innovation at the company. Moreover, a second limitation is related to the kind of innovation that drivers boost. This research does not separate between radical and incremental innovation.

In order to maintain their sustainable development and enhance their whole innovation capability, agri-food firms should closely relate their innovation capability dimensions to the formulation of a strategy and harmonization of innovation and innovation drivers’ activities.

The main contribution of this paper is that it develops an appropriate research framework (a proposed structural model) for examining the links among the five innovation drivers with each of the four innovation capability dimensions.

The purpose of this paper is to examine the extent to which the five European Foundation for Quality Management (EFQM) model enablers, as the latent factor “enabler excellence,” are associated with business performance, taking into consideration the mediating role of innovation in this relationship.

The analysis followed in order to investigate the relations among the various constructs of the proposed model includes an initial exploratory factor analysis, followed by confirmatory factor analysis and finally structural equation modeling.

According to the study findings, “enabler excellence” and innovation performance directly contribute to business performance. Moreover, this paper concludes that innovation performance partially mediates the effect of excellence enablers on business performance.

This study does not separate between radical and incremental innovation; thus, it would be very interesting to explore this issue in future research. Moreover, it might be useful for researchers to reassess the proposed relationships examining the mediating role of organizational culture.

This study offers clear implications for managers, proving that they should give higher emphasis on quality management (QM) and the four dimensions of innovation in order to achieve increased performance.

Based on the multidimensional structure of the EFQM model, this empirical study determines the contribution of QM to business performance taking into consideration the role of innovation performance as a mediator in this relationship.

This empirical study aims to examine luxury fashion retailers' localised multiple channel distribution strategies in China.

Through case studies of 15 participating retailers, qualitative data were collected from 33 semi-structured interviews.

Strong impacts of internationalisation strategies, distribution strategies and channel length towards multiple channel retailing are revealed. Multi-channel retailing is widely employed by firms who have entered China and further developed their businesses through local partnerships and adopted a selective distribution strategy via relatively longer channels. Omni-channel retailing is only suitable for the few retailers using an exclusive distribution strategy through direct marketing and wholly owned customer relationship management. As a dynamic transformation from multi- to omni-channel retailing, cross-channel retailing is adopted by those who are withdrawing from local partnerships and shifting to wholly owned expansions and operations in host markets.

The results are potentially challenged by relatively small sample size.

Practitioners are suggested to adapt multiple channel retailing to their international expansion strategies, distribution strategies and channel length in the host markets.

This paper contributes to the literature in both multiple channel retailing and international retailing by offering insights into the motives, development patterns and suitability of multiple channel retailing in the international retail marketing context.

The purpose of this paper is to examine the types of justice that affect knowledge acquisition and opportunism in strategic alliances and how these justice mechanisms function.

Data were collected from both top-level and operating-level boundary spanners in 295 strategic alliances in China (a total of 590 boundary spanners). A structural equation model (SEM) with bias-corrected bootstrap method was used to test the hypotheses.

The results show that although both procedural justice and distributive justice are important in deterring opportunism, procedural justice is more effective at enhancing knowledge acquisition than distributive justice is. The results also demonstrate that boundary spanners' helping behaviors are more effective at fostering knowledge acquisition, whereas boundary spanners' voice behaviors have more impact on mitigating opportunism. In addition, boundary spanners' citizenship behaviors partially mediate the relationship between justice and interfirm-level performance.

This study adds a boundary-spanning lens to justice literature by uncovering the missing link between justice and alliance outcomes.

The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.

The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.

The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.

The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.

The purpose of this paper is to examine theoretically and empirically what type of leadership facilitates e-business adoption in large manufacturing firms. The digital transformation of firms requires leadership that can promote the adaptive quality of organizational culture.

The authors conducted an empirical study using two key informants from a sample of 181 incumbent firms.

The authors find significant evidence that adaptive culture is the vehicle by which transformational leaders positively influence e-business adoption.

Given the digital economy’s external pressures, many e-business adoption processes fail due to organizational factors originating in leadership and its capability to change followers’ values, norms, and motivations. To solve this problem, the authors propose a model that explains how transformational leadership first plays a key role in changing characteristics of culture and then facilitates e-business adoption.

The purpose of this paper is to analyse the moderating role of psychological empowerment on the relationships between authentic leadership and innovative work behaviour, as well as transformational leadership and innovative work behaviour.

We have applied the mixed-method research on the selected case study. The quantitative field study was conducted on a sample of 126 employees in a multinational technological company. A series of paired sample t-tests were followed by a hierarchical regression analysis to test the hypotheses. The qualitative study consists of a content analysis of in-depth semi-structured interviews with four leaders.

The research provides further confirmation of the positive relationship between leadership and innovative work behaviour. Specifically, the results showed that psychological empowerment moderates the relationship between leadership (authentic as well as transformational leadership) and innovative work behaviour.

This paper contributed to leadership and innovation literature and provided insights in studying the boundary conditions on the relationship between authentic leadership, as well as transformational leadership, in stimulating innovative work behaviour through the moderating role of psychological empowerment. The added value is expanded by introducing the comparison of the two leadership theories.

The purpose of this paper is to present a methodology for estimating the “price,” or the not-to-loss value, of individual highway assets, which reflects not only the assets’ capital value but also economic productivity, by adopting a productivity-based asset valuation framework. The price tags can be used in prioritizing highway assets in support of transportation asset management processes.

The methodology adopts the utility theory to consider multiple performance measures reflecting the economic productivity generated by the assets, as well as their capital value. Key performance measures are first selected, and their values are retrieved from highway asset management databases. Next, the utility functions representing decision makers’ preferences convert the performance measures into utility values, which adjust the replacement cost (RC) of each highway asset to estimate price tags. To demonstrate its applicability, case studies were conducted for the highway networks of Texas and Washington State in the USA.

The methodology yielded price tags that better reflect the importance of highways’ roles in the economy in comparison to methods where only RCs are used. Furthermore, it was proven to be flexible enough to accommodate local conditions such as varying data availability.

The research provides a practical and reasonable way to prioritize critical highway assets in purport of maintenance and rehabilitation resource allocations, based on their economic productivity as well as physical condition and historical cost information, enhancing the overall efficiency and effectiveness of highway asset management.