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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.

While size asymmetry in buyer–supplier relationships has been studied in non-disruption contexts, this research explores how supplier size influences positive and negative supply chain disruptions. Anchoring on the commitment-trust theory (CTT), we explore buyer commitment as a mediating variable and examine how buying firms' mediated power usage depends on different supplier sizes and types of supplier-induced disruptions.

Through two scenario-based behavioral experiments, we discover different patterns in buyers' use of mediated power, contingent on the types of supplier-induced disruptions.

In negative disruptions, buyers prefer more mediated power with large suppliers to control uncertainties, using reward or coercive power strategies. In positive disruptions, we find opposite results, indicating different buyers' perceptions and actions are contingent on both the supplier size and the types of disruptions. These findings underscore the complex interplay between supplier size, buyer commitment and mediated power strategies, revealing that disruption type significantly shapes buyer responses.

This paper extends the CTT framework by considering new antecedents and outcomes. We also provide a more comprehensive understanding of buyer behavior when facing positive and negative supplier-induced disruptions. Our study has limitations. Through vignette-based behavioral experiments, there is a risk that scenarios may not accurately represent real-life situations and that decision-making dynamics could be oversimplified. Future research should incorporate nuanced measurements and conduct additional qualitative research for a comprehensive understanding.

This study enriches the understanding of the buyer-supplier relationship by expanding the CTT framework for a more comprehensive picture. We also offer nuanced insights into size dynamics and disruption types, emphasizing tailored strategies in supply chain management. The findings underscore the importance of understanding these nuances to employ tailored strategy in a business-to-business (B2B) context, as mediated power is contingent on multiple factors.

Considering the emergence of e-commerce platforms and their integration into marketing channels, this paper aims to investigate how artificial intelligence (AI) resources – both technological and human – possessed by e-commerce platforms can enhance their channel power by acquiring market-based assets (relational and intellectual).

Based on resource-based theory and resource orchestration theory, the authors developed a framework tested using survey data gathered from the sellers, which incorporated six key variables: the e-commerce platform’s AI technology resources and human resources, rational and intellectual market-based assets, intraplatform competition and channel power. The analyses are performed using the regression analysis technique.

The empirical findings indicate that both technological and human AI resources are crucial in building channel power. In addition, market-based assets serve as a mediator in this relationship, while intraplatform competition moderates the effect of intellectual market-based assets on channel power negatively.

This study contributes to the existing literature by exploring how e-commerce platforms’ AI resources affect their channel power. The results offer valuable guidance to managers and researchers on optimizing AI resources to improve channel power.

Power is one of the single most critical concepts for understanding industrial relations management. Yet, despite having been subject to much scholarly attention, existing research often implicitly assumes an organizational level of behavior or examines influence tactics within the confines of an individual-level dyad. This has led to a limited understanding of influence exercises involving a third person. Motivated to advance the understanding of this phenomenon, this study aims to explore how boundary spanners from a buying organization influence supplier representatives by involving a third person.

This study uses a longitudinal single case study design grounded in social control theory. Data consist of interviews, observations and documents collected over a period of 27 months in a global sourcing context.

The findings demonstrate how the influence agent from the buying organization can invoke a third person’s mediated and nonmediated social power base through either direct or indirect social control mechanisms. With these findings, this paper makes a novel theoretical contribution by developing a deeper understanding of underexposed social influence tactics unfolding in individual-level triads.

This study offers boundary spanning managers with practical insights into subtle and indirect forms of social influence with which they can influence external exchange partners.

To the best of the authors’ knowledge, this study is the first to draw on social control theory to examine interpersonal influence tactics in buyer-supplier relationships. By integrating this theoretical perspective with extant research on social power, this study emphasizes the importance of considering how the influence agent mobilizes a third person’s social influence base.

The purpose of this paper is to understand how supply chain actors in an Italian cashmere supply chain reacted to dependence and power use during the Covid-19 crisis and how this affected their perceptions of justice.

The research took a case study approach exploring issues of dependence, power and justice in a multi-tier luxury cashmere supply chain.

The authors found two types of dependence: Craftmanship-induced buyer dependence and Market-position-induced supplier dependence. The authors also identified four key archetypes emerging from the dynamics of dependence, power and justice during Covid-19. In the repressive archetype, buying firms perceive their suppliers as dependent and use mediated power through coercive tactics, leading the suppliers to perceive interactional, procedural and distributive injustice and use reciprocal coercive tactics against the buying firms in the form of coopetition. In the restrictive archetype, buying firms that are aware of their dependence on their suppliers use mediated power through contracts, with suppliers perceiving distributive injustice and developing ways to circumvent the brands. In the relational archetype, the awareness of craftmanship-induced buyer dependence leads buying firms to use non-mediated power through collaboration, but suppliers still do not perceive distributive justice, as there is no business security or future orders. In the resilient archetype, buying firms are aware of their own craftmanship-induced dependence and combine mediated and non-mediated power by giving the suppliers sustainable orders, which leads suppliers to perceive each justice type positively.

This paper shows how the actors in a specific supply chain react to and cope with one of the worst health crises in living memory, thereby providing advice for supply chain management in future crises.

This study aims to investigate the decline of American hegemony as one of the most prominent crises of the modern world order, from a broader perspective that transcends narrow traditional interpretations. The paper assumes that the September 11 events in 2001 have launched the actual decline in American hegemony. Tracing the evolution of US global strategy over the past two decades, the study seeks to analyze the main causes and repercussions of the decline of US hegemony, which would provide a bird’s eye view of what the current global system is going through.

The study investigates the decline in American hegemony through a longitudinal within-case analysis which focuses on the causal path of decline in hegemony in the case of the USA, since the events of September 11, 2001, and tries to identify the causal mechanisms behind this decline. Following George and Bennet (2005), the study uses process tracing to examine its research question. Process-tracing method seeks to identify the intervening causal process – causal chain or causal mechanisms or the steps in a causal process – that leads to the outcome of a particular case in a specific historical context (Mahoney, 2000; Bennet and Elman, 2006). The study chose this method, as it offers more potential for identifying causal mechanisms and theory testing (George and Bennet, 2005); it opted for a specific procedure, among the variety of process-tracing procedures listed by George and Bennet, which is the detailed narrative presented as a chronicle, accompanied by explicit causal hypotheses. Using this process tracing procedure, the study assumes that American hegemony has witnessed dramatic changes in the aftermath of critical junctures, particularly the events of September 11, 2001, and the financial crises, 2008, which contributed significantly to this decline. Consequently, it traces the impact of these events on the state of American hegemony, in light of the review of contributions of different theories on hegemony in the field of international relations, both traditional and critical. Consequently, introducing the theoretical framework used in the study (the four-dimensional model of hegemony), which transcends criticisms of previous theories.

The crises of the modern world order and the decline of American hegemony – being the main manifestation of such crises – revealed the inability of the traditional and critical approaches reviewed in the study to interpret this decline and those crises. The reason behind that was the inability of these interpretations to reflect the various dimensions of American hegemony and its decline since the September 11 events. This highlights the importance of using the four-dimensional model, which combines different factors in the analysis and has proved to be an appropriate model for studying the case of American hegemony and its decline after the events of September 11, as it deals with the phenomenon of hegemony as a social relationship based on specific social networks.

Despite the currency and relevance of the decline of US hegemony for both the academic and political world, the topic needed to be analyzed systemically and addressed in a thorough scientific way. Through the application of theoretical concepts into the analysis of empirical data, this study contributes to a field where too often the discourse about decline of American hegemony is led without the required theoretical or conceptual considerations.

Electric motor heating during biomass recovery and its handling on conveyor is a serious concern for the motor performance. Thus, the purpose of this paper is to design and develop a hardware prototype of master–slave electric motors based biomass conveyor system to use the motors under normal operating conditions without overheating.

The hardware prototype of the system used master–slave electric motors for embedded controller operated robotic arm to automatically replace conveyor motors by one another. A mixed signal based embedded controller (C8051F226DK), fully compliant with IEEE 1149.1 specifications, was used to operate the entire system. A precise temperature measurement of motor with the help of negative temperature coefficient sensor was possible due to the utilization of industry standard temperature controller (N76E003AT20). Also, a pulse width modulation based speed control was achieved for master–slave motors of biomass conveyor.

As compared to conventional energy based mains supply, the system is self-sufficient to extract more energy from solar supply with an energy increase of 11.38%. With respect to conventional energy based \ of 47.31%, solar energy based higher energy saving of 52.69% was reported. Also, the work achieved higher temperature reduction of 34.26% of the motor as compared to previous cooling options.

The proposed technique is free from air, liquid and phase-changing material based cooling materials. As a consequence, the work prevents the wastage of these materials and does not cause the risk of health hazards. Also, the motors are used with their original dimensions without facing any leakage problems.

This study aims to establish a comprehensive framework for adopting mobile-based artificial intelligence (AI) services in Tanzanian manufacturing small and medium enterprises (SMEs).

The methodology involved conducting a literature review and using the combination of Mobile Services Acceptance Model and Innovation Diffusion Theory (IDT) as a theoretical foundation. This synthesis delves into the current knowledge on technology adoption, organizational behavior and innovation diffusion, creating a solid conceptual basis. Expert review was used for framework validation to ensure the framework's accuracy.

This study shows that the factors influencing the adoption of mobile-based AI services in Tanzanian manufacturing SMEs include perceived usefulness, perceived ease of use, context, personal initiatives and characteristics, trust, infrastructure, cost, mobility, power distance, compatibility, observability and trialability.

The framework provides valuable insights tailored to Tanzanian sociocultural and economic nuances. However, its generalizability is limited due to its specificity to Tanzanian manufacturing SMEs.

The framework outlined in this research provides SME leaders, policymakers and technology implementers with valuable guidance to make informed decisions during the adoption process.

This study introduces a novel lens for understanding technology adoption. This study's focus on the Tanzanian context and its nuanced examination of contributing factors add to its originality and practical significance.

The integration of e-commerce platforms and artificial intelligence (AI) into the marketing channel ecosystem is challenging the explanatory capacity of traditional channel power theories, indicating a significant yet unaddressed research gap concerning the impact of these digital entities and AI on channel power exercise dynamics. This study adopts a contingency perspective to critically revisit how e-commerce platforms exercise channel power and the ensuing effects on channel conflicts. The purpose of this study is to extend the boundaries of traditional channel power theories, enhancing their relevance in today’s digital marketplace.

Building on channel power theories, the authors developed a framework tested with survey data collected from 262 sellers. This framework incorporates three key contingent variables: inter-platform competition, AI capabilities and platform value co-creation. Regression analysis was used to perform the analyses.

This study finds that intense inter-platform competition mitigates the (positive) negative relationship between platform channel power and the exercise of (non-) coercive power. Moreover, a platform’s AI capabilities and value co-creation activities diminish the potential for channel conflicts induced by the exercise of coercive power. AI capabilities can also strengthen the negative relationship between the exercise of non-coercive power and channel conflicts.

This study contributes to the advancement of traditional channel power theories by integrating contemporary digital elements like AI and platform dynamics. This study provides theoretical and practical insights on navigating channel power in modern marketing environments, offering strategic guidelines for optimizing channel relationships.