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This study investigates how firms can influence political actors on emerging markets through their network partners in order to support a market-driving strategy. On emerging markets, political actors typically play a more central role than is the case on mature western markets. However, most firms do not have the understanding of or influence upon political actors in emerging markets that is required to interact with them directly. Consequently, gaining the support of different network partners will be essential. We discuss how network collaborators may manage political factors in order to influence four different dimensions of the market-driving strategy. We have conducted in-depth case studies of two Swedish firms and their activities in India. Based upon this we develop a conceptual model and discuss how a firm can collaborate with partners in order to influence political actors proactively as well as to reactively reduce harmful effects of political decisions.

This study aims to explore the effect of power-based behaviours on pharmaceutical supply chain (PSC) resilience.

This study used a mixed-method approach to explore the role of power-based behaviours in PSC resilience. Qualitative interviews from 23 key PSC stakeholders, followed by thematic analysis, revealed the underlying perceptions regarding PSC resilience. Quantitative propositions were then developed based on the themes adopted from PSC resilience literature and the qualitative findings. These were tested via a survey questionnaire administered to 106 key stakeholders across the various levels in the PSC. Structural equation modelling with partial least squares was used to analyse the data.

The data analysed identified proactive and reactive strategies as resilience strategies in the PSC. However, power-based behaviours represented by quota systems, information and price control influenced these resilience strategies. From a complex adaptive system (CAS) perspective, the authors found that when power-based behaviours were exhibited, the interactions between PSC actors were mixed. There was a negative influence on reactive strategies and a positive influence on proactive strategies. The analysis also showed that PSC complexities measured by stringent regulations, long lead times and complex production moderated the effect of power-based behaviour on reactive strategies. Thus, the negative impact of power-based behaviours on reactive strategies stemmed from PSC complexities.

This research particularly reveals the role of power-based behaviours in building PSC resilience. By evaluating the nexus from a CAS perspective, the analysis considered power-based behaviours and the moderating role of PSC complexities in developing resilience strategies. This study considers the interactions of PSC actors. This study shows that power asymmetry is a relational concept that inhibits the efficacy of reactive strategies. This study thus advocates the importance of power in achieving a more resilient PSC from a holistic perspective by highlighting the importance of the decision-making process among supply chain (SC) partners. The findings are particularly relevant if PSC resilience is viewed as a CAS. All the interactions and decision-making processes affect outcomes because of their inherent complexities. Although this study focused on the PSC, its implications could be extended to other SCs.

The authors identified that power-based behaviours influenced resilience strategies. It was detrimental to reactive strategies because of the complexities of the PSC but beneficial to proactive strategies through resource-sharing. PSC actors are therefore encouraged to pursue proactive strategies as this may aid in mitigating the impact of disruptions. However, power-based behaviours bred partner dissatisfaction. This dissatisfaction may occur even within strategic alliances indicating that power could be detrimental to proactive strategies. Therefore, it is pertinent to identify conditions that lead to dissatisfaction when pursuing strategic partnerships. This study provides insight into actual behaviours influencing resilience and quantifies their effects on the PSC. These insights will be valuable for all SC partners wanting to improve their resilience strategies.

Previous PSC management and resilience studies have not examined the role of power in building resilience in the PSC. This paper thus provides a unique contribution by identifying the role of power in PSC resilience, offers empirical evidence and a novel theoretical perspective for future practice and research in building PSC resilience strategies.

Building supply chain (SC) resilience has become a priority for many organizations, following a global increase in disruptive events. While management accounting and control (MAC) systems play a supportive role in supply chain management (SCM) decisions, little is known about the contributions offered to resilience decisions in service organizations. The purpose of this study is to examine the performance implications of MCS's impact on proactive and reactive resilience of healthcare supply chains.

This study conducted a survey of 127 public health managers via structural equation modeling. The partial least squares version 3.3.3 was used.

The results show a statistically positive impact of MAC dimensions on proactive and reactive resilience, which in turn impacts the quality, delivery speed and cost effectiveness of the health SC. However, the integration dimension had an insignificant effect on reactive resilience but a positive effect on proactive resilience.

This study examined the performance implications of MAC system dimensions and proactive and reactive resilience on operational performance in health SCs, using empirical data from only one country. Thus, generalizing the findings to include other jurisdictions may be impossible.

Healthcare managers in public health facilities should embrace the four MAC dimensions (except the integrated dimension in reactive resilience) to support information generation in SC resilience decisions.

Perhaps, the first to provide preliminary empirical evidence on the interactive effect of proactive and reactive resilience and MAC dimensions in terms of broad scope, timeliness, integration and aggregation on health SC operational performance under disruption, in the context of an emerging economy.

The purpose of this paper is to explore the origins of the two types of green innovations: proactive and reactive green innovations.

In order to satisfy the essence of the triangulation in methodology, this study applies a hybrid research method which includes both qualitative and quantitative research to discuss the origins of green innovations based on the two following stages. First, the study uses inductive logic from the perspectives of case study research and grounded theory to build the research framework and selects AU Optronics Corp. (AUO), the worldwide top three manufacturer in the TFT‐LCD industry, as the research object. Second, the study utilizes a questionnaire survey method to test the research framework proposed in the first stage.

This study divides green innovations into two types: proactive and reactive green innovations, because their origins are different. The results show that both of the internal origins – environmental leadership, environmental culture, and environmental capability and the external origins – the environmental regulations and the environmentalism of investors and clients – can generate reactive green innovation. However, only the internal origins can facilitate proactive green innovation. This study suggests that companies should invest their resources in cultivating the internal origins rather than the external origins.

The paper provides insights into what origins cause proactive and reactive green innovations by means of hybrid research method – qualitative and quantitative research – in Taiwan. This study builds up a theory about the origins of the two types of green innovations.

This study contributes to the literature on eco-innovation (EI) and the circular economy (CE) by providing insights into the factors of external knowledge absorption that facilitate the adoption of a subset of EIss called proactive-EIs. Proactive-EIs involve collaborations among multiple stakeholders, the use of technical knowledge and a greater level of investment than other innovations. In this study, the environmental actions taken by small and medium-sized enterprises (SMEs) in resource-intensive sectors in the European Union (EU) were observed, and elements related to the national context were compared.

The national innovation system (NIS) perspective was adopted using a multilevel framework to assess the determinants of proactive-EIs among SMEs in the EU. The framework involves three levels: micro- (environmental awareness), meso- (external collaboration and intra-industry agglomeration) and macro- (economic complexity, trade openness and government research and development [R&D]). The survey data of 6,188 SMEs in resource-intensive sectors were analysed using a binary logistic regression.

The results showed that public awareness, economic complexity and public sector R&D positively influenced SMEs' adoption of proactive-EIs, whereas external collaboration and sectoral agglomeration negatively influenced adoption.

Among the existing empirical studies on EI, areas related to external knowledge-based innovations and systematic assessments of heterogeneity among EU member states remain underexplored. This study contributed to the literature by assessing the conditions surrounding external knowledge absorption. The findings contribute to the green entrepreneurship literature in the context of developed economies and offer insights for managers and policymakers seeking to promote EIs.

Grounding on relational view and contingent resource-based views, the authors investigate the conditional indirect effect of Supply Chain Relational Practices (SCRPs) on supply chain performance (SCP) through proactive and reactive supply chain resilience (SCRE) capabilities at different levels of network complexity (NC).

The authors adopt an “exploratory sequential mixed methods design” combining the qualitative and quantitative approaches under a positivist paradigm. The qualitative method is primarily used to contextualize and develop better measurements of the factors and variables using content analysis of the field studies. This then informs the quantitative phase which conducts a questionnaire survey among the apparel manufacturing firms in Bangladesh. The authors analyzed the quantitative data using Partial Least Square based Structural Equation Modelling. The authors also used PROCESS integrated regression analysis to test conditional indirect effects.

Our research findings indicate that the indirect effect of SCRPs on SCP through proactive and reactive SCRE is positive and significant. It also finds that the conditional indirect effect is high at higher NC.

The results have immense practical implications as it proposes to enhance relational practices in order to develop SCRE as a contingent resource to mitigate disruptions. This will also help the supply chain (SC) managers to work through smoothly at different levels of supply chain NC and improve SCP.

Extant literature does not provide a deeper understanding of the impact of SCRPs on SCP, while SCRE and NC influence the link. Therefore, investigation of the conditional direct and indirect effect of SCRPs on SCP through proactive and reactive SCRE at different levels of NC is novel in SC management literature.

This study aims to investigate the role of sustainable supply management (SSM) practices in a firm’s overall sustainability performance and reflect the significance of supply management in this performance. The paper uses dynamic capability view as a theoretical foundation for the research of SSM practices and differentiates between reactive and proactive practices.

The research design includes a focus group session with nine supply management professionals and survey data collected from 111 companies. The research objectives are examined by means of quantitative analyses.

The empirical results show that SSM practices represent a significant share of the firm’s sustainability performance overall. However, the significance of the practices differs depending on the strategic type and importance of the practice. SSM practices reflecting reporting and upstream SCM activities aim to ensure sustainability of the entire supply chain and have a focal role in improving firm’s sustainability performance.

A three-dimensional matrix for the categorization of SSM practices is proposed. This is a novel theoretical contribution to the SSM literature. Reactive practices are basic ones where the strategic importance regarding the development of new capabilities is low. Proactive practices are dynamic in nature and aim toward the development of new capabilities. Thus, proactive practices have a long-term effect and are necessary for gaining higher sustainability performance.

The purpose of this paper is to empirically investigate how big data collected from social media contribute to knowledge management practices, innovation processes and business performance.

The study used 418 questionnaires collected from firms that actively invest in marketing, advertising and communication in the Italian market. The hypotheses testing and analysis were conducted using structural equation modeling.

The results reveal that customers’ data gathered from social media produce different effects on knowledge management practices and firms’ innovation capacity. Furthermore, increased innovation capacity turned out to affect customer relationship performance directly, while it contributes to gain better financial performance only when it is used to gain relational outcomes.

The outcomes of the study help firms to develop a clear understanding about which big data retrieved from social media can be useful to improve their knowledge management practices and enhance their innovation capacity. Moreover, by investigating the mediating role of big data knowledge management in the context of social media knowledge acquisition and innovation capacity, this study also extends the mediation variables used to understand the relationship between knowledge capabilities and practices and innovation constructs.

Currently there is no analysis of the development of disaster risk management literature in the construction and built environment context, the changes in its research paradigms over time and the role of different key players in the advance of its current body of knowledge. This study aims to address that gap by investigating the longitudinal data of disaster risk management literature published over the past three decades.

A social network analysis approach is used in this study to show the overall development of the field and specifically the impact of research collaborations between different organisations and countries on research productivity.

The results indicate that the focus of disaster risk management research in the built environment context is heavily biased towards reactive strategies (response and recovery) over proactive strategies (mitigation and preparedness). The findings also demonstrate that collaboration between disaster risk management researchers has a significant influence on their research productivity.

The findings from this study should be of value to researchers, policymakers and academic strategists. This study for the first time shows the ability of the social networks paradigm to reveal frailties in research connections in the field of disaster risk management in construction and built environment and highlights where networking strategies are needed.

Exploring ways to sustain competitive positions as well as improve firm performance through environmental production initiatives has been a major preoccupying topic for mostly practitioners and researchers. Despite several studies on the influence of environmental initiatives on firm performance, many questions remain unanswered as to how to further extract more gains from environmental production initiatives. This study, thus, explores environmental production practices impact on firm performance from proactive and reactive perspectives.

The study adopted a survey research design, a quantitative approach and partial least square structural equation modelling (PLS-SEM) technique in making data analysis and interpretations due to its suitability for predictive research models.

The results indicated that proactive environmental production practices positively related with process and environmental performances but negatively associated with financial performance. Although the findings contrast with majority of past findings, they gain the support of other scholars in establishing that early adoption stages of proactive environmental production initiatives strain financial capabilities and thus present a negative relationship. Reactive environmental production practices are positively and significantly related with process, environmental and financial performances.

The study is among the first to expose environmental production practices from a proactive and a reactive perspective and in the context of a developing country. As such, the study provides guidance to relevant authorities in further promoting sustainable production practices to preserve the environment by manufacturing safer consumer products through efficient sustainable production processes and practices.