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I aimed to develop a conceptual model of power dynamics focused on an anticipated power consequences in business relationships in a context of high environmental turbulence. I also intended to discuss the theoretical significance of my findings and indicate future research directions.

Conceptual article indicating future research directions.

The proposal of the conceptual model of power dynamics focusing on anticipated power consequences in business relationships.

The limitations of the presented model stem from the critique of the holistic view. My contribution lies in advancing our understanding of power dynamics in business relationships amid significant environmental change. I elucidate how transformative practices relate to power outcomes and value creation in these relationships.

The model highlights the importance of a mindful approach to managing business relationships in a turbulent environment. It emphasizes considering expected power outcomes from activities and their impact on creating value in these relationships.

The proposed concept resonates with systems theory, which emphasizes how different levels of business relationships are interconnected. It enables the analysis of power dynamics at the individual level, such as employees, consumers and local communities. These groups often include the most vulnerable individuals impacted by relational business structures.

The focus on anticipated power consequences of transformative practices triggered by high environmental turbulences, while considering the impact of power distribution of relationship actors on the sharing of benefits and costs.

We present configurational theorising as a novel approach to developing middle-range theory in two steps: (1) we illustrate configurational theorising as a new form of supply chain inquiry by connecting its philosophical assumptions with a methodological execution, and (2) we generate new insights underpinning a middle-range theory for supply chain resilience.

We synthesise information from a range of sources and invoke ‘critical realism” to suggest a five-phase configurational theorising roadmap to develop middle-range theory. We demonstrate this roadmap to explain supply chain resilience by analysing qualitative data from 22 organisations within the Australian food supply chain.

Coopetition and supply chain collaboration are necessary causal conditions, but they need to combine with either supply chain agility or multi-sourcing strategy to build supply chain resilience. Asymmetrical analyses showed that the simultaneous absence of supply chain collaboration, supply chain agility and multi-sourcing results in low supply chain resilience, but coopetition was indifferent to low supply chain resilience. Similarly, high supply chain resilience is possible with the non-presence of supply chain agility and multi-sourcing.

The configurational middle-range theorising roadmap presented and empirically tested in this paper constitutes a substantial advancement to both theory and the methodological domain.

This is the first attempt at developing a middle-range theory for supply chains by explicitly drawing on configurational theorising.

Engaging suppliers in joint innovation can be an effective means for buyer firms to overcome internal resource/capability limitations. The purpose of this research is to investigate the impacts of cultural and trust congruences between the supplier and buyer firms on joint innovation. In addition, we examine the relationship commitment as an antecedent of cultural and trust congruences.

The study constructs a theoretical model based on social exchange theory (SET) and examines it using data from Chinese manufacturing firms.

The results suggest that cultural and trust congruences between suppliers and buyers positively influence joint processes and product innovations. Furthermore, we find that while normative relationship commitments of supplier firms promote cultural and trust congruences with buyers, instrumental relationship commitments only positively affect trust congruence.

This study enhances our understanding of social exchanges by adopting a dyadic view to examine the interconnectedness between relationship commitment, cultural and trust congruences, and joint innovation. These findings also offer practical managerial implications for managing collaborative innovation projects.

This paper aims to investigate the antecedents of recombinant innovation from the perspective of ego–network dynamics, and further disentangle whether ego–network stability or ego–network expansion is more conducive to recombinant innovation under heterogeneous knowledge base.

This paper uses 1,801 patent data in China’s biotechnology field as a sample and adopts fixed effects regression model to examine the effects of ego–network dynamics on recombinant innovation and further uses the Wald tests to discern which ego–network dynamic is more conducive to recombinant innovation under heterogeneous knowledge base.

The empirical results indicate that ego–network dynamics have a positive impact on recombinant innovation. Specifically, for firms with high knowledge breadth and high knowledge depth as well as high knowledge breadth and low knowledge depth, ego–network stability is more conducive to recombinant innovation. By contrast, for firms with low knowledge breadth and high knowledge depth, recombinant innovation benefits more from ego–network expansion. As for firms with low knowledge breadth and low knowledge depth, both ego–network stability and ego–network expansion can promote recombinant innovation, while the effects are not significant.

This research may enlighten managers to choose suitable ego–network dynamics strategies for recombinant innovation based on their knowledge base.

This research not only contributes to the literature on recombinant innovation by revealing the impact of different ego–network dynamics on recombinant innovation but also contributes to network dynamics theory by exploring whether ego–network stability or ego–network expansion is more conducive to recombinant innovation under a heterogeneous knowledge base.

The dynamic business environment and intense competition have mandated agility in operations for manufacturing firms. Effective inter-organizational collaboration can make operations more agile. This paper develops an interpretive model to explore the effect of supply chain collaboration (SCC) on supply chain agility (SCA) and, subsequently, on business performance.

A hierarchical model that illustrates the relationship between SCC, SCA and firm performance components is developed using total interpretative structural modeling (TISM). Also, statistical validation of the model has been performed.

The results indicate that the vision and alertness of the firm on the strategic front promote collaboration between supply chain partners. This creates operational agility, helping the firm to absorb fluctuations in demand, thereby enhancing business performance.

The opinion of most respondents was considered to develop the TISM framework over the fuzzy one, which necessitates a significantly more extensive data set. However, multiple discussions with participants can eliminate the prejudice of the majority approach. Also, the paper's development and validation were restricted to Indian manufacturing small and medium-sized enterprises (SMEs). The model can potentially be evaluated in large organizations to provide further insights.

The study blends the factors of SCC and SCA in a novel way to explain their combined impact on business performance. The TISM model addresses the “why” of theory development in addition to the “what” and “how” of it. Using triangulation in combination with the interpretative tool, this study additionally offers methodological value.

Remote working has brought forward many challenges for employees as the phenomenon is still new for most employees across the globe. Some of these challenges may be addressed by the recent adoption of digital technologies by organizations. In this vein, our study explores the impact of digital platform capability on the creativity of employees through the mediating mechanism of explicit and tacit knowledge sharing.

The data were gathered from higher education institutes (HEIs) in a developing country, Pakistan which recently saw a major disruption during the Covid-19 pandemic. The proposed hypotheses were tested through Structural Equational Modeling (SEM) and the results confirmed our hypotheses.

The findings confirmed that the digital platform capabilities impact both tacit and explicit knowledge sharing among these remote employees. Likewise, the results also supported the mediating role of both explicit and tacit knowledge sharing on the creativity of these remote workers.

Our results are significant as they confirm the impact of digitalization on remote workers’ creativity predisposition. We thus advance the academic debate on the problems of knowledge sharing in remote working. We prove that digital capabilities outweigh the challenges created due to new forms of work driven by the pandemic. It further highlights the important areas to focus on while planning human resource policies in the new normal.

This study aims to examine the impact of interlocking directorships on firm performance in Turkey, with a specific focus on the moderating role of board diversity.

Using a panel dataset comprising the top 100 firms listed on Borsa Istanbul from 2014 to 2018, this study employs regression analysis to investigate the relationship between interlocking directorships, board diversity, and firm performance. It firm-level financial data and directorship information to assess the effects of interlocking directorships on firm performance while also considering the moderating influence of board diversity.

The findings of this study reveal several important insights. First, the results confirm the “busyness hypothesis” as an increase in the number of interlocks per director negatively impacts firm performance, indicating reduced monitoring effectiveness. However, the study also demonstrates that board diversity plays a significant moderating role. Specifically, board diversity positively influences the relationship between interlocking directorships and firm performance, suggesting that a diverse board can mitigate the negative effects of interlocks and enhance overall firm performance.

This study contributes to the existing literature in several ways. First, this study extends our understanding of the relationship between interlocking directorships and firm performance, considering contingency factors in the Turkish market. Second, our findings imply that board diversity mitigates the negative impact of busy interlocking directorates and improves firm performance, which provides invaluable directions to firms in setting their boards. Moreover, this research enhances corporate governance practices in Turkey and beyond in other emerging markets with similar corporate governance mechanisms by identifying the importance of board diversity and its moderating influence.

This study investigates how the interrelated elements of organizational roles – activities, motives, resources and relationships – are mobilized to construct a code of conduct for the proxy advisory (PA) industry in Europe.

This qualitative study uses archival documents from three consecutive regulatory consultations and 16 interviews with key stakeholders. It analyzes how different stakeholder groups (i.e. PA firms, investors, issuers and the regulator) perceive and mobilize the elements of PA firms’ role to construct the accountability regime’s boundaries (accountability problem and action, and users and providers of accounts).

This study shows how PA firms, investors, issuers and the regulator refer to the perceived motives behind PA firms’ activities to construct an accountability problem. The regulator accepted the motives of an information intermediary for PA firms’ role and required PA firms to develop a corresponding accountability action: a code of conduct. PA firms involved in developing the code of conduct formalized who is accountable to whom by aligning this accepted motive with their activities, relationships, and resources into a common role.

The study highlights how aligning role elements to reflect PA firms’ common roles enables the construction of an accountability regime that stakeholders accept as a means of regulation. Analyzing the role elements offers insights into the development and functioning of accountability regimes that rely on self-regulation. We also highlight the role of smaller regional firms in helping shape transnational accountability regimes.

This study aims to analyze the factors that drive or prevent interorganizational data sharing in the context of digital transformation (DT). Data sharing appears as a precondition for companies to capture emerging opportunities in supply chain management and for product-related servitization; however, there are ongoing concerns, and data are often perceived as the “new oil.” It is thus important to gain a better understanding of the determinants of firms’ decisions.

The authors develop an embedded case study analysis involving 16 firms within an extended supply network in the automotive industry. The authors focus on the peculiarities of the new context, as opposed to elements highlighted by research prior to the advent of the latest technologies. Abductive reasoning is applied to the theoretical foundations of the resource-based view, resource dependence theory and the complex adaptive systems perspective.

Data sharing is largely underpinned by factors identified prior to DT, such as data specificity, dependence dynamics and protection mechanisms and the dynamism of the business context. DT, however, can influence the extent of data sharing. New factors concern complementarities whenever data are pooled from different sources and digital platforms, as well as different forms of data ownership protection.

This study stresses that data sharing in the context of DT can be explained through established theoretical lenses, providing the integration of elements accounting for new technological opportunities.

This article conceptualizes and constructs a comprehensive framework that can better help to answer that question – Who is accountable for social and public problems? – theoretically and practically.

Tracing the drivers behind two phenomena “accountability hole” and “accountability black hole”, stemming from “pushing power game” and “pulling power game”, respectively, this study considers (1) the three actors of society: citizens (civil society), corporations (market) and civil servants (government), and (2) the principal-agent relationship between the three actors in the face of social and public problems. As a result, the 4CAs framework that contains the three actors’ collaborative accountabilities to one another is presented.

The 4CAs model emphasizes (1) all three actors function as agents that are accountable to one another, (2) collaborative accountability beyond collaborative governance and (3) repowering citizens and corporations beyond just empowering them, i.e. returning their inherent rights and obligations to serve one another.

The 4CAs model may function as a descriptive and prescriptive lens through which the trilemma between market failure, government failure and citizen failure can be re-assessed and balanced. The model can also be used as a set of indicators for assessing and helping a society to better resolve the social and public problems collectively.