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Much has been written on the effect of fast-moving business environments on organizational and supply chain (SC) management. Yet, empirical findings on the effect of changing external and internal contingencies on today’s globalized agrifood SC networks and performance are still fragmented into different organizational instruments, with some conflicting results remaining unexplained. This study aims to address these deficiencies by providing a comprehensive research framework to investigate how SC external and internal contingencies jointly influence organizational SC network structures and agrifood performance across mutually dependent tiers.

Using partial least squares structural equation modeling, the so-called “contingency–netchain–performance” framework, based on contingent resource-based theory and the netchain approach, was empirically tested on data obtained from a standardized survey of 405 artisanal producers and 238 processors in the Nigerian shrimp sector.

The results provide statistical evidence that supports the path dependency of firm performance from the interplay of vertical, horizontal and lateral relationships and, primordially, from both external and internal contingencies. The findings show that the contingency paradigm of fit among small-scale food producers and processors cuts across tiers and uncover a tendency to adopt relational governance and tighter network structures that result in an organic organization as the best-fitting structure.

The paper presents a new research framework that offers comprehensive empirical explanations for the joint influence of SC external and internal contingencies on organizational SC network structures and performance across mutually dependent agrifood tiers. This study’s conceptual, practical and policy implications for SC management provide a nascent and flexible basis on which to identify the best-fitting organizational strategies that maximize firm performance across agrifood SC tiers characterized by changing business environments.

Following the contextual approach to intellectual capital, this study analyzed the specific types of external relational capital that foster product/service, process and managerial innovativeness in organic farming as key drivers of sustainable food production.

Survey data from 358 organically certified Spanish farmers were analyzed using structural equation modeling based on partial least squares. A total of three models, one for each type of innovativeness, were developed to analyze the impact of external relational capital. These models took into account four specific types of relational capital: vertical relationships, horizontal relationships, relationships with government institutions and relationships with knowledge-intensive institutions.

Although relational capital and innovativeness are clearly underdeveloped, knowledge generated through and embedded in external relationships plays a substantial role in promoting innovativeness in organic farming. Moreover, depending on the type of innovation to be developed, the type of external relational capital that is relevant differs.

This study's findings indicate that organic farmers prioritize process innovation over product/service and managerial innovation. For the latter categories, building relationships with customers, consumers and government institutions is key. Policymakers should encourage farmer-engaging socialization spaces that emphasize family farms and their knowledge contribution.

Past studies have examined the overall degree of association between external relational capital and innovation, often overlooking the nuances of contextual factors. In contrast, this research delves into the unique contributions of knowledge sourced from various external relationships, focusing specifically on how these relationships influence different types of innovation within the specific context of organic farming.

The research question is how can a company implement a circular innovation in a supply network context? Leveraging the main conceptual and interpretative models of the industrial marketing and purchasing thinking, this study aims to investigate the interplay between the process of circular innovation development and the changes in the structure and dynamics of the supply network in which innovation takes place.

This research applies a case study design focusing on participant interaction dynamics. The case relates to an industrial company producing an innovative coating solution for compostable packaging. The data used to develop the case study came from multiple sources but primarily from semistructured interviews that cover the implementation of the circular innovation and the configuration of the circular network.

The dynamics of interconnected relationships can configure a circular network that interconnects business and non business actors through vertical, horizontal and heterogeneous relationships. The network configuration is supported by the new mobilizer actor that facilitates the sharing of circular knowledge within the circular network, together with the sharing of a market orientation and entrepreneurial orientation within the supply network, through the educational learning path.

This paper aims to contribute to a new understanding of how circular innovation can be developed, adopted and diffused. In a network, when circular innovation takes place, the focal issue is not the new product or technology in itself but how such innovation is developed and implemented by and through the reconfiguration of the business and non-business relationships into circular network.

Research efforts aiming to improve understanding of how various organisational relationships contribute to better food quality (FQ) in a constantly changing business environment are limited. This study examines the effects of supply chain (SC) organisations on the quality of food products across multi-tiered segments with dynamic business situations.

Guided by a conceptual research framework based on contingency theory and netchain analysis, moderation-based partial least squares structural equation modelling (PLS-SEM) was used to analyse multi-tiered data from 405 shrimpers and 238 women processors in Akwa-Ibom, Lagos and Ondo states in Nigeria.

The authors' findings show that unpredictable business environments such as market turbulence (MT), power asymmetry (PA) and distrust (DT) not only directly influence SC organisations but also moderate how organisational networks contribute to improved FQ. Further results reveal that closer vertical ties such as relational contracts are prerequisites for small-scale actors to guarantee improved FQ along multiple nodes of the food system.

This is the first study to examine, from a contingency and multi-tiered perspective, how small-scale actors can maintain FQ across interdependent nodes of a food chain in a developing country context and to explore the complex interplay between SC networks and the quality of highly perishable food products in unpredictable business environments. Relevant theoretical and policy implications are discussed.

This study aims to conduct a thorough literature review to map current studies on international marketing capabilities (IMCs) applying dynamic capabilities view (DCV). The aim of this study is to increase the chances for more conceptual and terminological rigor in future research in this particular research area.

This is a systematic literature review following the established review process of reviews in leading (international) marketing journals. A multilevel analytical approach was adopted, combining inductive coding with deductive coding and following the logic of antecedents-phenomena-consequences.

Synthesis of 20 rigorously selected previous empirical studies on IMCs applying DCV reveals that academic interest in these capabilities is well justified and growing and there are some well researched antecedents to focal capabilities (e.g. inter-organizational capabilities, outside-in market orientation) as well as their prevalent consequences (e.g. export and innovation performance). There is little knowledge of moderators to these links, especially with regard to consequences. This review illustrates that the current research lacks consistency in how key constructs are defined and measured, provides the guide to future conceptualization and measurement of so-called International Dynamic Marketing Capabilities (IDMCs) and proposes some concrete research directions.

The authors extend prior research in the investigated topic by critically evaluating prior works, providing improved conceptualization of IDMCs as well as concrete research agenda for IDMCs structured along recommendations for Theory, Context and Methods (TCM framework).

The purpose of this paper is to help better understand the translation process of the management control system (MCS) of privatised solid waste management (SWM) towards creating a stable network.

Drawing on the actor network theory (ANT), the case of a privatised SWM was studied. Data were collected from all entities involved in the privatisation process of SWM, which include Department A, Corporation X and the private sector concessionaire. Six documents were reviewed, 20 interviews were conducted and two observations were carried out.

The findings reveal that the control mechanism of SWM is complex, involving the interaction between human and non-human actors. Non-human actors include the key performance indicators (KPIs) and the concessionaire agreement (CA), which are the main control mechanisms towards creating a stable SWM network. Essentially, stability is achieved when the KPIs and CA can influence the activities of both intra- and inter-organisational relationships.

This paper provides a better understanding of the translation process of the MCS that adds to the stability of the network of a privatised SWM from the lens of the ANT.

The purpose of this study is to introduce the top-level design ideas and the overall architecture of earthquake early-warning system for high speed railways in China, which is based on P-wave earthquake early-warning and multiple ways of rapid treatment.

The paper describes the key technologies that are involved in the development of the system, such as P-wave identification and earthquake early-warning, multi-source seismic information fusion and earthquake emergency treatment technologies. The paper also presents the test results of the system, which show that it has complete functions and its major performance indicators meet the design requirements.

The study demonstrates that the high speed railways earthquake early-warning system serves as an important technical tool for high speed railways to cope with the threat of earthquake to the operation safety. The key technical indicators of the system have excellent performance: The first report time of the P-wave is less than three seconds. From the first arrival of P-wave to the beginning of train braking, the total delay of onboard emergency treatment is 3.63 seconds under 95% probability. The average total delay for power failures triggered by substations is 3.3 seconds.

The paper provides a valuable reference for the research and development of earthquake early-warning system for high speed railways in other countries and regions. It also contributes to the earthquake prevention and disaster reduction efforts.

Prior studies on major customer relationships (i.e. embedded ties) focus mostly on the ties between a focal firm and its immediate customers, hindering the understanding of the influence of indirect ties (both upstream and downstream) on a focal firm's operational performance. In this study, the authors analyze how a focal firm's upstream and downstream connectedness and network location affect its productive efficiency.

Utilizing Compustat segment files, the authors constructed large-scale major customer networks covering the period 2007–2013. The authors applied a fixed-effect panel stochastic frontier model to conduct estimation. Moreover, the authors applied an endogenous panel stochastic frontier model to ensure the robustness of the main analysis.

The authors found that a focal firm's upstream and downstream connectedness both have a positive influence on a firm's productive efficiency, whereas a focal firm's centeredness in the major customer network has a negative influence on productive efficiency. Moreover, it was found that centeredness lessens the positive influences of upstream and downstream connectedness on productive efficiency. The post hoc analysis further confirmed that a focal firm's indirect ties, both upstream and downstream, positively influence a focal firm's productive efficiency.

This study contributes to the literature by evaluating the relative effectiveness of a focal firm's direct and indirect major customer ties, both upstream and downstream. More importantly, this study suggests potential exploitation–exploration trade-offs (i.e. productive efficiency vs. innovation) triggered by a firm's network location.

This study aims to identify different antecedents and reveal divergent moderating effects of horizontal collectivism, thereby unlocking the asymmetric mechanisms for employees’ brand citizenship behavior (BCB) and negative word-of-mouth (NWOM).

This study uses a survey data set and analyzes it with structural equation modeling along with common latent factor analysis designed to control for common method variance.

BCB is associated with pride at work but not perceived organizational support (POS), so POS drives BCB not directly but indirectly through the emotion of pride at work. In contrast, employees’ NWOM is associated with both POS and frustration, and POS drives NWOM directly and indirectly through the emotion of frustration. Horizontal collectivism has divergent moderating effects that strengthen the relationships of BCB with POS and pride at work and weaken the relationship between employees’ NWOM and frustration.

This study makes two major theoretical contributions to internal branding. First, as a response to the need for an investigation into drivers of employees’ brand-oriented behaviors, it will identify different psychological antecedents and mechanisms for BCB and employees’ NWOM. Second, capturing the potential of horizontal collectivism on employees’ brand-oriented behaviors, this study will reveal the potential divergent moderating effects of horizontal collectivism on BCB and employees’ NWOM. These two contributions will lead to a better understanding of the different mechanisms for employees’ BCB and NWOM.

In the context of Saudi Arabia, this chapter investigates how clustering promotes knowledge sharing and transfer in an emerging, government-directed industry cluster. It is determined that lateral actors play a key facilitating role, and formal and informal mechanisms and interpersonal links among actors support that cluster knowledge exchange. Limited social capital strength and depth and a lack of trust that prevents knowledge sharing are partially explained by the cluster's limited vertical and horizontal actors.