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This paper aims to examine the existing literature on firms’ power through the lens of the supply chain and highlights some gaps that could be covered by future research.

This study uses a systematic framework-based review combining the insights of the antecedents, decisions and outcomes (ADO) and theories, contexts and methods (TCM) frameworks. The review was carried out using a sample of 108 articles published between 1984 and 2022 in 25 prestigious journals.

The ADO framework maps out the state of the art of the antecedents of power (i.e. sources and types of firm power), the decision to use power and the effect that exercising power over other firms may have on firm performance and the quality of inter-firm relationships. In addition, this framework highlights factors that mediate or moderate the decision to exercise power and the factors that mediate or moderate the outcomes of exercising power or power asymmetry. The TCM framework provides insights into the theories, contexts (i.e. countries, industries, level of analysis and sources of data) and methods used by the existing literature. The content analysis using the aforementioned frameworks provides the basis to elaborate propositions for future research on power in the supply chain from the perspective of gender differences.

This systematic literature review offers a comprehensive guide for researchers to understand the antecedents, decisions and outcomes of firm power in the supply chain, as well as the TCM used in the literature. The content analysis using frameworks provides a road map to investigate the proposed factors that might moderate the decision to exercise power and the outcome of exercising power or power asymmetry from the perspective of gender differences. In addition, based on content analysis, the authors make propositions about TCM that could be applied in future research.

From a practical perspective, this systematic literature review may help managers to better understand the sources and consequences of their firm’s power. This would allow managers to make better decisions when negotiating with their supply chain parties, which could potentially lead to better performance for their firms and the whole supply chain.

To the best of the authors’ knowledge, this study is the first to conduct a comprehensive systematic literature review of the different dimensions of firms’ power in the supply chain.

Drawing on the relational view and contingency theories, this study explores supply chain relationship conditions' roles in interrelationships between environmental, social and supply chain performance (SCP), i.e. triple bottom line (TBL).

The data from industries and structural equation modeling (SEM) were used to validate the proposed model. Interviews with industry experts were conducted to further understand the findings.

The authors find that relationship conditions, such as inventory information sharing, dependency, opportunistic behavior and conflicts, moderate TBL linkages. Interestingly, power asymmetry does not moderate the linkages. Social performance mediates between environmental and SCP. This indirect effect is stronger than the effect of environmental performance on SCP.

This research is perhaps the first to bring a much-needed nuanced view on the importance of relationship conditions for TBL performance linkages. The research further underlines the importance of social performance in an emerging economy.

Using a dynamic capability view, this study examined the relationships between big data analytics capability (BDAC), entrepreneurial orientation (EO) and sustainable supply chain performance (SSCP) by exploring the moderating role of trust among supply chain partners.

Questionnaires were collected from 300 manufacturing organizations using snow sampling. The moderating connections and direct relationships were examined using Hays' process macro and structural equation modeling.

BDAC was positively related to EO and SSCP. When supply chain partners experienced low levels of trust, an increase in BDAC did not enhance SSCP. As trust increased, the relationship between BDAC and SSCP became more positive, underpinning the moderating effects of trust. Moreover, trust did not moderate the relationship between BDAC and EO. The moderating effect of trust on the relationship between EO and SSCP showed a positive relationship between EO and SSCP when trust was low; however, the relationship became negative when trust was high.

Developing technology alone may not be sufficient, as supply chain managers need to establish a strong business relationship based on mutual trust. However, they also need to be aware of the dangers of high levels of trust because these may negatively affect performance. Therefore, supply chain managers need to achieve an optimal level of trust that is neither excessive nor insufficient.

Advances in technology and entrepreneurial drive for supply chain sustainability make it pertinent to examine trust levels among supply chain partners and the varying impact on BDAC, EO and SSCP. The current study shows the negative aspects of too much trust among supply chain partners.

This paper examines the relationship between supply chain network structures and firm financial performance and the moderating role of international relations. In this study, which is grounded in social capital theory and applies the perspective of systemic risk, the authors theorize the effects of supply chain network structures on firm performance.

The authors extracted data from two Chinese databases and constructed a supply chain network of the firms concerned based on nearly 4,300 supply chain relations between 2009 and 2018. The authors adopted the fixed effects model to investigate the relationship between supply chain network structures and firm financial performance.

The econometrics results indicate that network structures, including the degree, centrality, clustering coefficients and structural holes, are significantly related to firm financial performance. A significant and negative relationship exists between international relations and firm financial performance. The authors also find that international relations strongly weaken the relationship between supply chain network structures and firm financial performance.

This study, which collects secondary data from developing countries (e.g. China) and explores the impacts of supply chain network structures on firm stock performance, contributes to the existing literature and provides practical implications.

Drawing on the resource-based view (RBV), this study aims to investigate the impact of social capital, namely, structural (information sharing), cognitive (shared value) and relational (relationship commitment) capital in the supplier and the customer side on supply chain performance in a longitudinal design. It further aims to examine the moderating effect of change in competition intensity.

Based on two-wave data collected from 203 manufacturers in China, this study uses the ordinary least square and first-difference regression methods to test the proposed relationships.

The results show the effect of social capital on supply chain performance and the dynamic nature of supply chain social capital. The causal analysis further reveals the significance of supplier-side structural and relational capital in improving supply chain performance. Moreover, competitive intensity plays an important moderating role.

This study, to the best of the authors’ knowledge, is one of the first to demonstrate the longitudinal effect of supply chain social capital on supply chain performance.

Firms are subject to power from both upstream and downstream partners; those partners may have different or even opposing impacts on supply chain relationships and financial performance. The purpose of this study is to investigate how upstream and downstream dependence structures affect a firm's financial performance through upstream and downstream relational depth (DEP) and relationship extendedness (EXT).

Data representing both upstream and downstream supply chain perspectives was collected using a multiple-respondent survey and was further augmented using financial performance data from an archival database.

Dependence advantages (ADVs) and disadvantages from upstream and downstream partners affect relational mechanisms and firm performance differently. Only downstream ADV will enhance a firm's DEP and EXT and subsequently affect firm's revenue and profit. Contradictory to widely held belief, the results reveal that firms that maintain long-term relationships with buyers and suppliers may experience lower revenue/profit.

This research represents a significant step in understanding the economic ramifications of dependence by (1) highlighting the difference between upstream and downstream supply chain dependence structure and (2) understanding the indirect effects of dependence structure on financial performance.

COVID-19 has caused critical supply chain problems, especially in sustainable supply chain management, but very few empirical studies have been explored how to improve the firm sustainability through supply chain endeavours such as supply chain agility to manage the impacts of COVID-19. This paper aims to develop a model to incorporate supply chain agility and supply chain relationships that link firm sustainability to mitigate the impacts of the pandemic.

The authors conducted an online survey and collected 203 valid responses from businesses in the United Arab Emirates, and employed an exploratory factor analysis, mediated regression analysis and structural equation modelling methodology to test the models and hypotheses.

The authors find that the adoption of supply chain agility can improve supply chain relationships and positively impact sustainability. Meanwhile, supply chain relationships partially mediate the relationship between supply chain agility and sustainability. In addition, sustainability mitigates the impacts of COVID-19 pandemic on supply chains.

The results provide fruitful insights and implications for the challenges and uncertainties caused by the pandemic post COVID-19 and provide several directions for further research.

The study explores manufacturers' supply chain social capital (SCSC) (structural social capital and relational social capital) and supply chain performance, respectively, as drivers and outcome of green supply chain management practices (GSCMPs). Additionally, the study explores the direct relationship between SCSC and supply chain performance of manufacturers.

The author develops and tests a research model grounded in the resource-based view and the natural resource-based view theory using survey data from 100 manufacturing firms operating in Ghana. The measurement model and hypothesized paths were examined using partial least squares structural equation modeling.

The findings revealed that relational social capital of manufacturers has a positive and significant relationship with supply chain performance, but structural social capital does not. Additionally, manufacturers' structural social capital and relational social capital were found to have a positive and significant relationship with GSCMPs. Lastly, GSCMPs were found to have a positive and significant relationship with supply chain performance.

The study contributes to the limited literature demonstrating the contribution of intangible relational assets, specifically SCSC, toward GSCMPs implementation.

Supply chain agility (SCA) is the primary strategy for reducing impacts and quick recovery when supply chains experience a disruption risk, such as the COVID-19 pandemic. This study will investigate how SCA can be achieved through supply chain information sharing (SCIS) under the different dependence relationships (DR) with suppliers or customers. The purpose of this paper is to investigate this issue.

Based on information process and resource dependency theories, this study constructs and empirically tests a proposed model of the relationships amongst the three dimensions of SCIS and the two areas of SCA and the contingency effects of two types of DR on those relationships. Using a dataset collected from 400 manufacturers in China, the authors tested this theoretical model using multi-group and structural path analysis.

The results of the structural path and multi-group analyses show that (1) all dimensions of SCIS are positively correlated with both areas of SCA and (2) dependence on the supplier and dependence on the customer have completely different impacts on the relationship between SCIS and SCA.

This study can improve the understanding of the multidimensional concepts of SCIS and SCA and relationships between them under two different DR conditions in the Chinese manufacturing setting. It contributes to IS and the SCA literature and provides theoretically driven and empirical explanations for the diverse dynamics between the dependence on the supplier and customer.

The purpose of this paper is to propose a political economy framework for strategic supply chain decisions by identifying lessons from the global chip shortage.

Global supply chains have been viewed as holistic political economies because each supply chain is more important than the individual buyer–supplier relationships that comprise it.

Each supply chain is a combination of many different vendor–supplier relationships that seem independent but are actually dependent on one another.

With significant geopolitical shifts, it has become necessary holistically consider the cultural, sociopolitical and economic conditions that surround supply chains. This points attention to managing the entire supply chain, rather than the immediate buyer–supplier relationship at hand.