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The realisation of joint innovation outcomes in open innovation networks is closely related to an efficient utilisation of governance mechanisms, which coordinate joint processes (e.g. knowledge sharing) and eliminate undesired behaviours (e.g. opportunism). Hence, the purpose of this paper is to analyse the complex effects of multiple governance approaches on outcomes of open innovation networks with a national and an international scope.

The study draws on a large-scale survey-based study of 100 mechanical engineering firms involved in open innovation networks. Hypotheses are tested by means of PLS structural equation modelling.

The evidence shows that the three governance mechanisms: transactional governance, relational governance and institutionalised governance significantly foster innovation outcomes of open innovation networks. In national open innovation networks, only relational governance exerts positive effects, internationally transactional and institutionalised governance is necessary.

The study contributes to research in multiple ways. First, it shows that governance of open innovation networks is crucial for their innovation performance, thereby providing some explanations for the performance differences between certain networks. Second, the results indicate that the effects of governance mechanisms depend on the scope of the network. By showing that the effect of governance mechanisms varies under different contextual conditions the study also contributes to the ongoing debate on combined effects of governance mechanisms.

The paper fills important gaps in the existing research on the link between governance and performance in open innovation networks and delineates interesting areas for further research.

The purpose of this paper is to examine the impact of governance modes (trust and unilateral control) on new product development (NPD) performance and the mediating role of tie strength.

Survey research was conducted to collect data from 112 NPD relationships and structural equation modeling was conducted to test the hypotheses.

The results suggest that the trust and tie strength are positively related, while unilateral control and tie strength are negatively related. On the other hand, tie strength is positively related to NPD performance. Results also show that the impact of trust and unilateral control on NPD performance are mediated by the tie strength.

This study enhances the understanding of NPD relationships by examining the key modes of governance through which tie strength and NPD performance are influenced.

Building on encapsulated interest account and motivated cognition account, this study aims to investigate how channel members extend trust in a channel leader when the channel leader applies various non-coercive power sources (e.g. referent, expert, legitimate and reward power). Besides, the study explored the changes in channel members’ trust in a channel leader when each non-coercive power source is coupled with coercive power sources.

Using survey items from previously validated scales, the study collected responses from 237 channel members of 3 paint distribution channels in India. Data were analysed using structural equation modelling and multi-group moderation analysis techniques.

Findings indicated that expert and reward power sources enhance trust in channel leaders while affective commitment mediates the effects of all the non-coercive power sources on trust. Further, coercive power weakens the effects of expert power on trust.

The study is based on a cross-sectional survey and confines to the paint industry in India. Replicating this study in other countries and industries will better generalise the study’s findings.

The study recommends that channel managers use power sources to build trust in channel leaders. Consequently, they will be able to emphasise those specific power sources while developing channel management strategies.

The study contributes to a greater understanding of the power-trust relationship.

This study aims to propose a quantitative approach to reduce the number of suppliers in an organization. This method is based on grouping, and different parts are grouped based on the capabilities they need and are allocated to suppliers who have these capabilities. In this regard, an integrated model for supplier reduction and grouping of parts using a group technology-based algorithm is proposed.

Design science research methodology was used in this study. The main problem under investigation is a large number of suppliers in an organization’s supply base. The proposed model was used to solve this problem in the electric motor industry.

The results of implementing the proposed model in the electric motor industry showed that reducing suppliers had a significant effect on reducing cost, increasing information sharing, increasing supplier innovation and technology, enhancing the relationship between buyers and sellers and reducing risks in the production process.

From a managerial point of view, reducing the number of suppliers plays an important role in the company’s overall strategy, and seems to be a prerequisite for building a strong supplier partnership and an effective supply chain, and will have many benefits for the focal company and suppliers.

To the best of the authors’ knowledge, grouping and formation of product families have never been performed based on the similarity of the operational capabilities required for producing parts, and it has not been addressed as a solution for reducing suppliers.

The purpose of this paper is to introduce a more practical approach for supply chain performance measurement (SCPM) and to approve the promising role of internet of things (IoT) technologies in SCPM systems.

This is a conceptual paper that includes literature review analysis, designing a new approach for SCPM, and a case study scenario for proving its applicability.

The case study scenario shows that IoT can enhance SCPM, as it has the capability to enable real-time data collection, increase data efficiency as long as enable real-time communication within the supply chain (SC).

The proposed approach can help to develop performance measurement systems and applications enabled by IoT technologies. These systems can be used to monitor, manage, and control the overall SC in real time and in a more integrated and cooperative manner.

This paper provides a structured systems building approach tailored to show how to employ IoT technologies in the field of SCPM. This approach could help in establishing new performance measurement applications, and it is believed that both practitioners and researchers will benefit from it.

This study aims to investigate how the strength of ties (i.e. strong ties and weak ties) in megaproject networks influences project performance in terms of types of conflicts.

A questionnaire survey was undertaken with professionals in Chinese megaprojects and 445 valid responses were received. A conflict-based theoretical model was developed and tested with structural equation modeling.

The results indicated that task conflict had a constructive effect on project performance, whereas relationship conflict and process conflict had destructive effects. Both strong and weak ties positively affected project performance, and that weak ties exerted greater effects on performance. The introduction of conflicts significantly weakened the effect of strong ties on project performance. Strong ties indirectly affected project performance via task conflict and relationship conflict, whereas weak ties affected performance only through task conflict. Task conflict had a constructive effect on project performance, whereas relationship conflict and process conflict had destructive impact.

This study identified the positive effect of strength of ties on project performance as well as the constructive and destructive roles of conflicts. Furthermore, the findings provided evidence that strength of ties and conflicts were critical factors for project performance. While, there are still limitations. There are other attributes of megaproject networks, such as network nodes’ characteristics and network structure, which may influence conflicts and project performance. Future research would be conducted to explore the role of these variables. Meanwhile, because different types of conflicts may mutually transform under certain conditions, future research would also address this issue in megaprojects.

As for the management strategies, project stakeholders should know the existence of project networks, exactly assess their resource endowment, especially their external and internal relationship network. In accordance with changes of the project network, stakeholders should share knowledge and learn techniques about how to respond to relationship disturbances, thus reducing relationship conflict and process conflict. Furthermore, stakeholders should place an emphasis on fostering and reinforcing communication and trust, thus effectively resolving task conflict, ambiguity and uncertainty engendered from network ties in a megaproject network.

The main contribution of this study is threefold. First, this study will enrich the literature on strength of ties by accentuating the roles of conflicts in megaproject context. Second, this study contributes to the theoretical development of a conceptual model for explaining the interrelationships among strength of ties, conflicts and project performance. Third, this study will respond to the call “which dimension, i.e. strong ties or weak ties, is more influential” by exploring the direct and indirect effects of strength of ties on project performance.

The purpose of this paper is to investigate the influence of two dimensions of relational risks, namely, opportunism behavior and interest conflict, on knowledge flow and to explore the moderating effect of network power among these untested relationships and to examine the positive effect of opportunism behavior and interest conflict.

This paper adopts survey data collected from 180 enterprises in China's high-technology industry and examines the relationship between relational risks, network power and knowledge flow.

This research empirically shows that opportunism behavior and interest conflict significantly and negatively impact on knowledge flow. Those relationships are positively moderated by network power.

To be more generalized to the high-technology industry, future research should adopt the quantitative research, which can obtain more comprehensive information to explore the nature of phenomenon. The future research can also combine with other variables. In addition, this research extends the current literature by investigating the relationship of so far understudied theorized antecedents.

This research enriches the related network perspective literature by providing new insight combining relational risks and knowledge flow. Especially, the moderating effect of network power is empirically examined.

The purpose of this paper is to develop a method to compare supply chains (SCs) of an industry in the scope of supplier's supplier to customer's customer.

The proposed method is based on five processes provided in SCOR model version 9.0 (plan, source, make, deliver and return) and main business stages of the industry. It uses Data Envelopment Analysis (DEA) and PROMETHEE II, a multiple criteria decision‐making technique, as tools to compare SCs in the process level, business stage level and SC level. Therefore, the method is basically a new combination of existing models and methods including SCOR model, DEA and PROMETHEE II. To show the applicability and strength of the method in comparing SCs, it has been implemented in the seven SCs of the Iran broiler industry as a case study.

Comparing SCs of an industry via the proposed method results in process benchmarking, business stage benchmarking and SCs ranking in the scope of supplier's supplier to customer's customer.

The suggested method provides realistic and attainable information for SCs' owner/managers to find out the strengths and weaknesses of their SCs and improve their performance by process benchmarking and business stage benchmarking. Also they could identify their competitive position in the industry by SCs ranking.

Rice is an essential determinant of food security in some developing countries as it has become the state’s staple food. Due to its essential role, rice supplies have been studied over the years. For this reason, it is essential to ensure quantity and quality availability, safety, distribution and affordability from input suppliers, farmers and milling industries to consumers. This study aims to assess and evaluate the relationship between sustainability risk factors for each rice supply chain actor to minimise uncertainty and losses in the supply chain and achieve a sustainable rice supply chain (SRSC).

A total of 50 sub-risk factors for the rice supply chain, divided into four sustainability dimensions, were derived through a literature review. Next, it was identified through interviews with 12 experts in 2 stages: the first stage, reviewing the literature review results, and the second stage, finalising with Pareto analysis. Each stage produces 28 and 21 sub-risk factors. Fuzzy-decision-making trial and evaluation analysis was used to evaluate the relationship between sub-risk factors in the context of SRSC.

The sub-risk factors that need to be managed to achieve SRSC are climate change risk (floods and rainfall) from the environmental dimension (case group) and operational risk (loss of low-quality results) from the process dimension (impact group). These practical findings provide actionable insights for supply chain actors and contribute to a deeper understanding of the complexities of the rice supply chain.

This study underscores the urgent need for a comprehensive understanding of the risks faced by all actors in the rice supply chain. Such an understanding is crucial for future research and practical applications, and it is the key to ensuring the sustainability and security of the rice supply chain.

To the best of the authors’ knowledge, this is the first comprehensive study in the context of SRSC that evaluates the relationship between risk factors to achieve food security in developing countries.

The purpose of this paper is to examine the transformational leadership and service quality in the businesses active in the field of e-commerce with the mediating role of trust and team performance.

Survey questionnaires were administered on a 384-subject sample of the employees of the teams working in electronic businesses in Iran. The structural equation modeling and partial least square techniques were used to analyze the data.

The results showed that transformational leadership has a positive impact on service quality and improves team performance. The effect of transformational leadership on the interpersonal trust and the trust on the team performance are also positive and significant. In summary, the improved performance also has a positive impact on service quality.

The main limitation is the assessment by questionnaire because the questionnaires measure the attitudes of individuals, not the facts as they are, and the attitudes of individuals usually involve personal judgments and prejudices in the research. Also, examining the research model in different cultural domains may provide different results because of being influenced by different cultures. Hence, the authors recommend that the findings should be examined in other communities with different cultures.

Evaluating the impact of the transformational leadership on service quality (SERVPERF scale) by a survey of team trust and performance in e-business is an innovation in the influence assessment of these variables. The present research is considered applicable to the management science as new findings in organizational behavior studies and recognition of transformational leaders, as well as the positive impacts of the characteristics of them on individuals and followers.