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This paper aims to fill a gap in the authors’ understanding of alliance-level and the partner-level alliance performance by analysing the influence of behavioural factors for alliances formed by SMEs. Prior studies on the topic have arrived at inconclusive results. This study plugs gaps in prior studies' approach such as deployment of inconsistent performance measures, and omission of contingent factors.

The survey method was used to collect responses about 86 alliances of Indian SMEs. The data were analysed using PLS-SEM technique.

Two relationship capital variables – Trust and Commitment – were found to have differential influence on the two levels of SME alliance performance, and their influence was mediated by the presence of two exchange climate variables – Communication and Conflict.

Since the study employs perceptual measures of performance, it is subject to the limitations of these measures. Similarly, given the relatively small sample size on which analyses were based, the results may need to be replicated in order to generalize the findings.

The study tested a comprehensive model for alliance and partner performance in the context of SMEs. The study's results may be particularly useful to managers of SMEs for focusing on the key factors that influence alliance performance as well as their performance.

The model tested in the study is comprehensive and also accounts for the subtleties about the impact of the two key types of behavioural factors – Relationship capital and Exchange climate – on alliance and partner performance.

The purpose of this paper is to investigate significant impact of partner similarity on the success of horizontal alliances in logistics service providers (LSPs) from China.

Primary data were collected via questionnaire distribution to 380 Chief Executive Officers and Managing Directors in 262 small and medium logistics enterprises in China. There are 316 valid questionnaires for further analysis with 83 percent accuracy in response rate. Structural equation modeling was used to test the impact of partner similarity on alliance management capability, stability and performance.

Partner similarity and logistics alliance management capability (LAMC) are positively correlated to alliance stability and performance in horizontal alliances among Chinese LSPs, especially competence similarity and cultural similarity. Moreover, alliance stability mediates the impact of partner similarity and LAMC on alliance performance.

The basic limitation of this research is to collect data just from small and medium logistics enterprises that operate in China with sample size (n=316). This research could further be extended to other regions in China or other countries.

This research verifies the positive relationship between partner fit and management capability. Besides, based on research findings, the research proposes guidelines for LSPs pursuing horizontal alliances

This research proposes an experimental model for Chinese LSPs to cooperate successfully and build horizontal alliances in order to increase their effective customer response capability.

As firms seek to prosper in a fiercely competitive global economy, cooperative inter‐firm alliances among members of the value chain are increasingly being forged. In the area of marketing channels, strategic alliances among international channel partners have become the norm as well. Thus, identification of inter‐firm influence strategies – such as different leadership styles – used by the channel captain to motivate international channel partners becomes increasingly important. More specifically, in administering a firm’s marketing channels, participative, supportive, and directive leadership styles may be effective in eliciting channel partners to exert higher levels of motivation, which, in turn, may be associated with higher levels of performance. The linkages among leadership styles, motivation, and performance are empirically examined on data drawn from a sample of automobile distributors in the USA, Finland, and Poland. International channel management implications are discussed, limitations of the study are identified, and directions for future research are suggested.

The purpose of this paper is to develop a conceptual framework for performance evaluation of channel partners in distribution relationships and develop a scale to measure the proposed dimensions of performance.

The proposed framework is built on the theoretical foundations of salesforce control systems and organizational performance. The authors developed the measurement scale by the three-stage protocol and established the scale’s reliability, factor structure and validity through the data collected from 252 firm-channel partner dyads across automobile firms in India.

The proposed framework highlights three distinct dimensions of channel partners’ performance, i.e. output performance, the financial/other objective results; activity performance, the activities, behavior and process-compliance levels; and capability performance, the resources and capabilities of channel partners. An 18-item measurement scale is developed to measure the three proposed dimensions of channel partners’ performance.

The proposed framework conceptualizes the three key dimensions of channel partners’ performance that can assist firms in exercising a focussed approach to performance management in distribution channel relationships and other inter-firm contexts. This study contributes to the legitimacy and further development of research in the area.

The measurement scale provides valid and reliable items for a rigorous performance analyses of channel partners, both at the individual level as well as at the level of the distribution channel as a whole. These performance analyses have multiple applications, right from managing the day-to-day channel activities to steering the channel strategy.

The paper presents a multidimensional conceptual framework for performance evaluation of channel partners and provides a suitable instrument for operationalizing future empirical research in the area.

The purpose of this paper is to develop a nuanced framework for evaluating a channel partner’s performance in distribution channel relationships. Given a channel partner’s task environment characteristics (high/low munificence, dynamism and complexity), the study examines which performance metrics (output, activity or capability) are most relevant for evaluating its performance levels effectively.

The study adopts self-administered cross-sectional survey-based research design. Matched data were collected from 252 channel partners – manager relationship dyads. The latent change score (LCS) model within SEM framework provides mean paired-differences of the relevance ratings for each metrics. This was used to assess the empirical validity of the hypothesized relationships.

The study demonstrates the importance of calibrating performance evaluation metrics to a channel partner’s task environment state, made possible by its holistic approach to performance evaluation. Based on an extensive analysis, it shows that no single metric is relevant within all environmental states; rather, it could be dysfunctional, a result that differs from vast majority of the literature.

Investigates individual linkages between task environment dimensions and performance metrics to provide a fuller understanding of these relationships. Also provides a theoretical framework to support further research on the topic.

The study provides managerial guidelines (and extensive graphical analysis) for nuanced and dynamic evaluation of channel partners’ performance that can enable firms to identify and promote their most valuable channel partners and prevent the deterioration of others.

First one to develop and empirically validate a nuanced framework for evaluating performance of exchange partners that operate under diverse task environment states.

Business networks have to coordinate each of their partners' goals and expectations, as a lack of partner compatibility and goal incongruence could lead to conflict and opportunistic behavior. These potential problems highlight the relevance of partner selection as a means of minimizing opportunistic behavior by building trust in and commitment to a network that influences network performance. The purpose of this paper is to provide insights into partner selection as a management control mechanism, which controls the behavior and network performance of business network partners.

The paper provides an analysis of the effects of a well‐executed partner selection on business networks' performance. The paper further analyzes the effects of the mediating role of trust within, commitment to, and the risk of opportunistic behavior in business networks. Consequently, the paper highlights the pivotal role of partner selection in business networks as a management control mechanism.

The results provide an exploratory empirical insights into the cause‐and‐effect relationship between partner selection, partners' behavior, and network performance. Partner selection has effects on trust, opportunism, and commitment. The selection of a partner is a very important managerial control task within business networks, as appropriate selection is a threshold condition for a successful business network.

Since the study is based on empirical data collected by individuals, it could be open to general criticism regarding the methodology of broad empirical analysis. Time‐lagging effects also remain unrevealed as the data represent only a point in time. Some effects cannot be verified indisputably, while the low variance in some of the construct results is only indicative of suggestions.

This paper provides insights into partner selection as a management control mechanism, which controls the behavior and network performance of business network partners.

The purpose of this paper is to investigate the effects of a commercial partnership in a project‐type supply chain. The research focuses on the performance of suppliers who develop a partnering mechanism for procurement of complex manufacturing projects. In total, four supply chain metrics are evaluated: project scope change, ratio of actual‐to‐estimated project costs, gross profit margin, and delay in deliverable shipments. Hypotheses are formulated to contrast partnerships and arms‐length relationships for industrial procurement. Statistical results support the conclusion that supplier performances improve under partnership.

Four supply chain metrics were generated through review of literature and in‐depth field study. The authors utilized the supply chain management, project management, and principal‐agent theory literature to develop hypotheses to examine effects of instituting a partnership agreement. A case study approach was employed to collect financial and operational data from 167 projects among a manufacturing supplier and a group of customers that purchase industrial analyzer systems. Statistical techniques were employed for hypothesis testing.

The findings from the authors' empirical work support the prediction in partnership literature that suppliers' operational and financial performances improve after they and manufacturing customers jointly implement partnerships. A supplementary finding also suggests that a manufacturer should develop partnering mechanisms with suppliers to achieve higher performance for both the individual firms and the entire supply chain.

This study, like other “before and after” analyses, encounters limitations on causality. Advanced techniques, e.g. cause‐effect investigation with richer data, are hence necessary to validate the causal relationships between performance metrics and their drivers. This study focuses only on the supplier's side of the supply chain and its partnership in a specific industrial setting. Future research may consider studying the joint performance by supplier‐customer dyads in commercial partnerships with variations of partnering agreements.

Partnerships motivate trading partners to engage in higher level of coordination. Transactional hazards can be reduced and performance may improve under the partnering mechanism. The manufacturer may design the procurement partnership as a collaborative mechanism, thus helping a partnering supplier and itself to obtain increased mutual gains.

The paper provides detailed information of a unique case study of the partnership in a project‐type supply chain, which is relatively new in the literature. Research streams on supply chain management, project management, and principal‐agent theory are integrated to evaluate supplier performance. Empirical results confirm partnership impacts on suppliers' business performance.

While previous studies have focused on identifying management control (MC) mechanisms in international construction joint ventures (ICJVs), the impacts of such MC mechanisms on the performance of ICJVs remain largely unknown. This study aims to investigate the impacts of MC mechanisms on the performance of ICJVs hosted in the developing country of Ghana.

Through a comprehensive review of the literature, a theoretical model was developed, and data were collected through a questionnaire survey with 190 project managers composed of Ghanaians/locals and their foreign partners of ICJVs. The data were analyzed using partial least squares structural equation modeling.

Results showed that both personnel and support and training control mechanisms have a positive and significant impact on project and company/partner performance. Surprisingly, insignificant and negative impacts exist between both mechanisms and socioenvironmental and company/partner performance from the local partners' view, respectively; the reverse is rather true from the foreign partners' perspective.

This study contributes to the ICJV body of knowledge by analyzing the impacts of MC mechanisms on the ICJVs’ performance, enabling ICJVs frontliners (i.e. top managers) and project managers to better enhance their control structures and the ICJVs’ performance.

This is arguably the first study to take the bipartite perspective rather than the unilateral view of studying the impacts of MC mechanisms on the performance of ICJVs.

With the current trend toward globalisation and the increasing competitive and technological challenges of today's environment the formation of international strategic alliances has become an important part of many firm's international business strategies. Experience with international strategic alliances has shown that they face a number of problems, which can often result in the termination of the alliance. This study, therefore, aims to assess the impact of both behavioural and organisational characteristics on the success of international strategic alliances. The results show that behavioural characteristics play a more significant role in explaining overall alliance performance compared to organisational characteristics. High levels of commitment, trust, coordination, interdependence and communication are found to be good predictors of international strategic alliance success. Conflict, meanwhile, is found to hamper good performance. By contrast organisational characteristics such as structure and control mechanisms are found not to strongly influence the success of international strategic alliances.

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.