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This paper aims to analyze the effects of enabling management control systems (MCSs) and relational capabilities (interorganizational learning and coordination) on conflict management in innovation ecosystems.

Shedding light on relational governance, structural equation modeling (symmetric analysis) and qualitative comparative fuzzy-set analysis (asymmetric analysis) were applied to a sample of 164 Brazilian firms associated with science and technology parks (STPs), a specific type of innovation ecosystem.

The results of the symmetric analysis showed that enabling MCSs have a direct and positive effect on conflict management, as well indirect effects through interorganizational learning and coordination. The results of the asymmetric analysis indicated four solutions to promote high levels of conflict management, with enabling MCS solutions standing out, as they are present in the majority of cases in the sample.

Interorganizational conflict in innovation ecosystems are inevitable, but the previous literature is inconclusive about how the interrelation between MCS and relational capabilities can foster the management of these conflicts. By providing evidence on the predictors and solutions that lead to high levels of conflict management, this study presents valuable insights into how firms and STPs can mutually promote organizational and relational benefits throughout the innovation activities developed among those involved in innovation ecosystems.

Research and interest in food loss and waste (FLW) have increased, but barriers stand in the way of firms engaging in food recovery efforts. The purpose of this study is to gain a better understanding of how firms overcome these barriers.

This study followed a qualitative, field-study-based research design in which 23 decision-makers at food-based organizations were interviewed. Quotes were extracted and categorized to develop a conceptual model of the food recovery process.

The conceptual model that evolved helps to explain decision-making related to FLW across the following dimensions: barriers to food recovery, incentives to overcome the barriers, internal processes for engaging in food recovery and external relationships influencing internal incentives and processes. In addition, the barriers and incentives were divided into operational and managerial issues.

Building on the barriers to food recovery in prior research, we explored the processes that help firms overcome these barriers. The model developed in this study is an important step toward addressing these processes and relationships. It can serve as a foundation for a variety of future studies of food recovery.

This paper aims to empirically investigate how knowledge coordination is carried out within and across expert teams in the outsourcing service desk context from the standpoint of the information and communication technologies (ICT) provider.

The authors draw on an embedded case study to unravel the mechanisms used by expert teams to achieve knowledge coordination. Data collection included semi-structured interviews and document analysis over eight months.

Four groups of coordination mechanisms were found according to their nature and role in helping MESA achieve its organizational goals. The authors also identified how this set of mechanisms responds to the task-resource dependency and how it evolves over time to provide reliable ICT services. Furthermore, the analysis of four knowledge coordination dimensions inside each group uncovers the complexity of coordination in the studied context, with the “who” dimension being predominant across the groups. The analysis further reveals that the content (what) and mode of coordination (how) of each group respond to elements in the knowledge coordination process relevant for the different stages of the ICT service delivery process.

The case study addresses how people in outsourced services coordinate their knowledge to manage the interdependencies among the involved organizations and thus, achieving their goals. This study extends previous research that had analyzed the consequences of knowledge coordination for providers and customers by delving into the mechanisms used in this process from the provider’s point of view.

This study aims to demonstrate how governmental authorities can take interorganizational network responses to address unexpected situations developed by the breakdown of critical infrastructure, such as communication failure in a hyperconnected society.

This study uses social network analysis to investigate the performance of interorganizational response networks regarding the 2018 KT network blackout, a failure of telecommunication facility, compared to the planned network.

The national fire agency was the most prominent actor in the actual interorganizational network, while the actor was not significant in the planned network in addressing unexpected needs. Moreover, top government authorities were involved in the actual response network because of the national attention on the breakdown of the infrastructure as a focusing event.

Unexpected conditions in the actual response to a technological disaster, such as a critical infrastructure (CI) breakdown, require the involvement of emerging or non-significant actors in accordance with the findings related to other types of disasters. Particularly, communication failure in a hyperconnected society may involve prominent government authorities in the actual interorganizational response because of the event's broad and severe impact on the functions of society.

According to governance theory, choosing an effective supply chain (SC) governance mechanism can balance the interests and conflicts between enterprises and help them achieve their performance goals. However, incentive and relational governance have not been fully studied in improving enterprise cooperative performance (ECP). This study aims to examine the relationship between incentive and relational governance in general, the direct effects of combined governance strategy (CGS; the combination dimension of the above two governance mechanisms) on ECP and the mediating effects of SC ambidexterity on CGS and ECP in particular.

To test the hypotheses, this study implements hierarchical linear regression and bootstrap with a survey data set of Chinese manufacturing enterprises.

Results demonstrate that incentive and relational governance can generate complementary effects through enabling and compensating mechanisms, and their combination, that is, CGS, can promote ECP more than a single governance approach; CGS is conducive to solving the SC ambidexterity dilemma and can simultaneously enhance SC alignment and adaptability, thus further improving ECP; and SC ambidexterity plays an intermediary role between CGS and ECP.

The present study examines the complex interaction between incentive governance, relational governance, SC ambidexterity, and ECP. Implications for theory and practice are that formulating appropriate CGS can develop SC ambidexterity and improve ECP.

Drawing upon resource dependence theory, this study aims to examine how a firm’s information technology (IT) capabilities (i.e. IT integration and IT reconfiguration) influence its responses to disruptions – bridging with a current supplier and buffering with an alternative supplier. We further examine how such relationships are moderated by the firm–supplier relative dependence (i.e. firm dependence advantage and supplier dependence advantage).

Based on data from 141 match-paired surveys of firms in China, we test our model.

Our study finds that IT integration positively influences bridging and IT reconfiguration positively influences buffering. Furthermore, our findings indicate that the positive impact of IT integration on bridging is negatively influenced by the firm’s dependence (FD) advantage but positively moderated by the supplier’s dependence advantage. By contrast, the positive impact of IT reconfiguration on buffering is negatively influenced by the FD advantage.

Our study provides a more nuanced insight into the effects of IT capabilities on disruption responses and a better understanding of the buyer–supplier dependence boundary conditions under which these effects vary.

Small- and medium-sized enterprises (SMEs) often operate in environments marked by high levels of turbulence. Such firms adopt digital technologies and platforms that provide access to external real-time information and establish digital connectivity between firms to remain competitive. This study aims to focus on SMEs’ downstream and upstream platform-based digital connectivity (PDC).

This study examines the effects of PDC on SMEs’ operational performance under conditions of environmental turbulence. The data was gathered from 192 SMEs operating in the manufacturing arena.

The results show that the adoption of PDC does not directly affect an SME’s operational performance. However, in highly turbulent environments, PDC can improve operational performance. The results indicate that the performance effects of PDC vary according to the level and type of environmental turbulence.

This research offers insights into the relationship between PDC among SMEs and operational performance and encourages future research examining other possible conditional effects that could explain the contradictory results found in previous research.

This study contributes to the knowledge of supply-chain digitalization among SMEs and its performance effects in varying environmental conditions. Further, this study contributes to the prior research by focusing on the interorganizational aspects of digitalization in SMEs.

Digitally oriented firms are faced with new opportunities and risks in today’s ever-changing world. Drawing upon organisational entrainment theory, this study investigates how supply chain (SC) entrainment improves the effects of digital orientation on firm performance through absorbing risks and exploiting opportunities.

Survey data were collected from 307 Chinese manufactures and analysed using structural equation modelling and regression analysis.

The results show digital orientation absorbs risk through evoking three SC entrainment dimensions (i.e. internal entrainment, entrainment with customers and entrainment with suppliers). Entrainment with customers and suppliers mediate the relationship between internal entrainment and firm performance. An opportunity exploitation mechanism is evidenced by the moderating effects of internal and external entrainment on the relationship between digital orientation and firm performance.

The empirical findings provide timely insights for managers to fully harness the benefits of digital orientation by using SC entrainment, i.e. to match the tempo and pace of internal and external cyclical activities to reduce the risks and increase the benefits of adopting advanced digital technologies. The authors show managers how to adjust their organization’s actions to keep tempo and synchronous phase with their SC partners.

The study introduces and conceptualizes a construct (i.e. SC entrainment) to understand how risks and opportunities arising from digital transformation can be addressed to maximize the value of advanced digital technologies.

This paper aims at understanding how automotive firms integrate customer relationship management (CRM) tools and big data analytics (BDA) into their marketing strategies to enhance total quality management (TQM) after the coronavirus disease (COVID-19).

A qualitative methodology based on a multiple-case study was adopted, involving the collection of 18 interviews with eight leading automotive firms and other companies responsible for their marketing and CRM activities.

Results highlight that, through the adoption of CRM technology, automotive firms have developed best practices that positively impact business performance and TQM, thereby strengthening their digital culture. The challenges in the implementation of CRM and BDA are also discussed.

The study suffers from limitations related to the findings' generalizability due to the restricted number of firms operating in a single industry involved in the sample.

Findings suggest new relational approaches and opportunities for automotive companies deriving from the use of CRM and BDA under an overall customer-oriented approach.

This research analyzes how CRM and BDA improve the marketing and TQM processes in the automotive industry, which is undergoing deep transformation in the current context of digital transformation.

Vehicle allocation problems (VAPs), which are frequently confronted in many transportation activities, primarily including but not limited to full truckload freight transportation operations, induce a significant economic impact. Despite the increasing academic attention to the field, literature still fails to match the needs of and opportunities in the growing industrial practices. In particular, the literature can grow upon the ideas on sustainability, Industry 4.0 and collaboration, which shape future practices not only in logistics but also in many other industries. This review has the potential to enhance and accelerate the development of relevant literature that matches the challenges confronted in industrial problems. Furthermore, this review can help to explore the existing methods, algorithms and techniques employed to address this problem, reveal directions and generate inspiration for potential improvements.

This study provides a literature review on VAPs, focusing on quantitative models that incorporate any of the following emerging logistics trends: sustainability, Industry 4.0 and logistics collaboration.

In the literature, sustainability interactions have been limited to environmental externalities (mostly reducing operational-level emissions) and economic considerations; however, emissions generated throughout the supply chain, other environmental externalities such as waste and product deterioration, or the level of stakeholder engagement, etc., are to be monitored in order to achieve overall climate-neutral services to the society. Moreover, even though there are many types of collaboration (such as co-opetition and vertical collaboration) and Industry 4.0 opportunities (such as sharing information and comanaging distribution operations) that could improve vehicle allocation operations, these topics have not yet received sufficient attention from researchers.

The scientific contribution of this study is twofold: (1) This study analyses decision models of each reviewed article in terms of decision variable, constraint and assumption sets, objectives, modeling and solving approaches, the contribution of the article and the way that any of sustainability, Industry 4.0 and collaboration aspects are incorporated into the model. (2) The authors provide a discussion on the gaps in the related literature, particularly focusing on practical opportunities and serving climate-neutrality targets, carried out under four main streams: logistics collaboration possibilities, supply chain risks, smart solutions and various other potential practices. As a result, the review provides several gaps in the literature and/or potential research ideas that can improve the literature and may provide positive industrial impacts, particularly on how logistics collaboration may be further engaged, which supply chain risks are to be incorporated into decision models, and how smart solutions can be employed to cope with uncertainty and improve the effectiveness and efficiency of operations.