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The purpose of this paper is to investigate how knowledge management and university-industry-government collaboration – including the triple helix – relate with each other in influencing organizations’ performance. In the competitive environment nowadays, an organization’s ability to create and use knowledge becomes ever more essential in the search for sustainable competitive advantage, even leading to the search for new forms of inter-organizational arrangements.

The representatives of such collaborations selected for this study are the National Institutes of Science and Technology. The categorical content analysis technique was used for the qualitative analysis of the data.

The principal contribution was the proposal of an analytical model relating the knowledge management and triple helix theories and the proposed dimensions (namely, structural, relational, cognitive and the context), considering the peculiarities of the Brazilian context. The findings show that the organizational structure (structural) influences not only the relationship among members (relational) but also the flow of knowledge (cognitive), as well as how relational elements (collaborative culture, trust and leadership) facilitate knowledge sharing. Moreover, the context affects these three other dimensions. The main obstacles identified were cultural differences, bureaucracy and the socio-economic reality, while facilitators were the existence of technology parks and incubators, government incentives and geographical proximity between universities and industry.

This topic was chosen as there are few empirical studies that comprehensively relate the topics of knowledge management and university-industry-government cooperation focusing on the Brazilian context.

There is little known about investigating the importance of all proximity dimensions simultaneously as a result of geographical proximity on university-industry collaborative innovation. This paper aims to answer the question of how geographically proximate university and industry influence cognitive, social, organizational, institutional and cultural proximity within university-industry joint laboratories and finally, what is the outcome of these interplays on collaborative innovation.

The study uses an exploratory multiple-case study approach. The results are derived from 53 in-depth, semistructured interviews with laboratory directors and representatives from both the company and the university within 8 joint laboratories of Telecom Italia (TIM). The data collection was carried out in 2014 and 2015. The analysis follows a multi-grounded theory approach and relies on a mix of deductive and inductive reasoning with the final goal of theoretical elaboration.

This study finds the role of social and cultural proximity at the individual level as a result of geographical proximity as an enabler of collaborative innovation by triggering mutual learning, trust formation and frequent interactions. Cognitive proximity at the interface level could systematically influence collaborative innovation, while organizational and institutional proximity has marginal roles in facilitating collaborative innovation. The qualitative analysis offers a conceptual framework for proximity dimensions and collaborative innovation within university-industry joint laboratories.

The framework not only advances state-of-the-art university-industry collaboration and proximity dimension but also offers guidance for managers in designing collaborative innovation settings between university and industry.

With this study, the paper advances the understanding beyond solely the relationship between proximity and collaboration and shed light on the interplay between geographical proximity and other proximity dimensions in this context, which has received limited scholarly attention.

The purpose of this study is to investigate the relationship between partner selection factors and effectiveness of collaboration between sport clubs, as well as the mediating role of collaboration process dimensions on this relationship.

Data were collected via an online survey targeting representatives of sport clubs in Belgium (n = 631). Hierarchical multiple linear regression and mediation analyses were conducted using SPSS macro PROCESS.

The results indicate that two partner selection factors – shared vision and pre-existing relationships – are related to collaboration effectiveness. Moreover, this association is mediated by the collaboration process and, more particularly, by two informal (social) dimensions of this process: mutuality and trust.

Practically, this study suggests sport clubs representatives to chiefly pay attention to partner selection characteristics when deciding to collaborate with other sport clubs. They should assess their potential partners and eventually choose sport clubs that share a similar vision and/or with whom they already have pre-existing relationships.

This paper extends knowledge on non-profit sport collaboration effectiveness by empirically examining its relationship to the partner selection factors and collaboration process. It helps establish the distinctiveness of this collaboration form. The paper also brings new knowledge on the interconnections between antecedents, process and effectiveness of sport collaboration.

The purpose of this paper is to develop a comprehensive model for horizontal logistics collaboration (HLC), including the collaboration types, enablers, context influence and performance indicators.

First, this study discusses the currently available typologies and their limitations and defines relevant collaboration classification dimensions. Then, a detailed analysis of each dimension is conducted, including the identification of resulting collaboration types. Next, collaboration enablers and the context influence are discussed, as well as their implications on the logistics system, with a specific focus on agri-food supply chains (AFSCs). Additionally, adequate key performance indicators (KPIs) are selected to evaluate collaboration outcomes. Finally, the horizontal logistics collaboration concept (HLCC) is applied to an illustrative case study from AFSCs.

The results show that HLC is a complex strategy where several elements intervene in the creation of the collaboration scenario. The research also shows that the specific characteristics of AFSCs influence the partners' selection process and increase the importance of partners' similarity and information exchange.

The results provide managers with practical insights into the dynamic nature of HLC both at the operational and relational levels.

This paper provides a theoretical contribution by introducing a new comprehensive model for HLC and a practical typology that allows a deeper understanding of the mechanisms governing different HLC scenarios.

This paper aims to study the dimensions and subdimensions of humanitarian supply chain resilience through the case of an non-governmental organization (NGO) logistics organization facing the international COVID-19 pandemic.

The methodology of this empirical research paper is based on a qualitative study using semistructured interviews with key actors of the Médecins Sans Frontières Logistique (MSF Log), NGO during the COVID-19 crisis in 2020 and 2021.

The data analysis highlighted four main dimensions of humanitarian supply chain resilience: organizational capacity, collaboration, flexibility and humanitarian culture. The transversal importance of the information system and that of the humanitarian culture were also pointed out. Furthermore, the authors have identified the subdimensions of each dimension; these subdimensions further elaborate the main dimension and provide a more detailed understanding of the concept. These dimensions require both proactive and reactive actions to be effective. Finally, based on these empirical results, a conceptual model of humanitarian supply chain resilience is proposed.

Additionally, further research can be done to explore the impact of digital technologies on the humanitarian supply chain resilience and how these technologies can be used to improve the resilience of humanitarian supply chains. Additionally, future research can also be conducted to explore how to measure the resilience of humanitarian supply chains and how to develop methods to improve the resilience of these supply chains.

The dimensions and subdimensions of resilience that have been highlighted may provide a guide for managers to target their actions, both responsively and proactively, to act on resilience over time when facing a crisis such as an international pandemic.

The value of this research is linked to the findings that result not only from literature about resilience but are also founded on an empirical and qualitative study of an NGO logistics organization facing an international crisis. The research provides an in-depth understanding of the practical application of supply chain resilience in a humanitarian context and the specific challenges and opportunities that arose during the COVID-19 pandemic for MSF Log. It also highlights the importance of information systems and humanitarian culture in maintaining the supply chain resilience. The findings of this research can be used as a guide for other humanitarian organizations to improve their supply chain resilience in times of crisis.

Energy conservation and environmental protection industry (ECEPI) is a strategic choice to promote energy conservation and emission reduction, develop green economy and circular economy. However, China’s ECEPI is still in the stage of rapid development and the overall scale is relatively small, what development periods have the ECEPI experienced? This study aims to contribute to a better understanding of collaborative innovation evolution based on social network analysis from the perspective of multi-dimensional proximity.

Methodologically, this study uses social network analysis method to explore the co-evolution of multidimensional collaboration networks. It divides China’s ECEPI into four periods based on national policies from 2001 to 2020. This contribution constructs collaborative innovation networks from geographical, technological and organizational proximity.

The results show that the collaborative innovation network was initially formed in the central region of China, gradually expanded to neighboring cities and the core positions of Beijing, Jiangsu and Guangdong have been continuously consolidated. C02F has been the core of the collaboration networks, and the research focus has gradually shifted from the treatment of wastewater, sewage or sludge to the separation field. Enterprises always occupy a dominant position in the collaboration networks.

This research investigates the dynamic evolution process of collaborative innovation network in China’s ECEPI from the perspective of multidimensional proximity, explores the community structure, important nodes and multidimensional proximity features in the network, expands the research perspective on evolution characteristics of innovative network and the research field of social network analysis. Theoretically, this study enriches collaborative innovation theory, social network theory and multi-dimensional proximity theory.

In this research, collaboration attributes related to the firm's intrinsic and extrinsic facets at pertinent levels (i.e. enterprise, strategic, operational, and tactical levels) for construction equipment OEMs (original equipment manufacturers) operating in India have been quantified and modeled.

For modeling the intra-firm collaboration at respective organizational levels, relevant attributes have been populated employing literature review followed by subsequent validation from pertinent focus groups. The focus groups comprising professionals working in the construction and mining equipment industry in India aided us in estimating the extent of interdependencies and influences within/amongst collaboration attributes. The collaboration attributes and respective interdependencies/influences are modeled employing the concept of graph theory wherein the individual attributes are represented using vertices and influences/interdependencies are represented using edges. The collaboration indices resulting from the variable permanent matrix have been derived as well.

Scenario and subsequent sensitivity analysis are performed. This research discusses the significance and aspects related to various collaborative attributes and the interrelations amongst them. Further, the research also evolves quantitative measures of collaboration indices at enterprise, strategic, tactical and operational levels by employing a graph-theoretic approach (GTA). The authors have also extricated and discussed a number of meaningful implications from both the perspectives of interorganizational relationships (IORs) and the normative theory of organizations using a cross-case analysis of five firms having operations in India.

The research would aid organizations (particularly those belonging to the construction equipment sector) measure the efficacy of collaboration in respective value-chains at strategic, tactical and operational levels. From the theoretical perspective, the integration of the IORs and normative theory of organizations enables looking at the intra-firm collaboration problem from a multi-dimensional standpoint involving activities, performance measures, action initiation, communication, shades of top management, level of activity, etc.

The purpose of this study is to deepen the understanding of consumers value collaboration with a service provider, specifically, how consumer self-determination affects value co-creation outcomes.

Self-determination theory (SDT) need-based motivational factors were operationalized in co-creation as commitment to resources (autonomy), feedback (competence) and collectives (relatedness). A between–within factorial experimental design (3 × 2 × 4) was conducted using online scenarios depicting value co-creation in a destination resort setting. Respondents were randomly and equally assigned to strong and weak SDT factor conditions. Next, they were exposed to scenarios depicting four types of value co-creation: co-innovation, co-creation of marketing, co-creation of experience and co-recovery, followed by an assessment of their co-created value (CCV), well-being, satisfaction and service advantage perceptions.

Results revealed that overall strong SDT conditions produce better outcomes. Consumers’ relatedness showed the strongest difference between strong and weak SDT conditions on the CCV dimensions. Further analysis revealed that autonomy and relatedness are crucial for collaboration. CCV meaningfulness is central for customers to improve their well-being, satisfaction and competitive advantage perceptions through co-creation.

The study contributes to a line of research on successful voluntary value co-creation processes between consumers and a company. The integration of service-dominant logic (SDL), axiology of value (AOV) and SDT, uniquely operationalized as commitment to resources as autonomy, feedback as competence and co-creation collective as relatedness offers a better understanding of how customers appraise the dimensions of CCV and outcomes of well-being, satisfaction and competitive advantage.

The purpose of this paper is to frame collaboration in supply chain as a hierarchical reflective construct.

This study uses data from industries in India to test the hierarchical and structural model. Partial least squares method is used to test the model.

Results show that collaboration is a third‐order, reflective construct. The paper's findings also arrange collaborative activities in terms of its importance for collaboration.

Collaboration is a multi‐facet activity and is a meta‐concept, and therefore this paper improves our understanding on the subject. The performance of supply chain collaboration depends on the execution of various activities, and this paper points out how the various activities are related to the collaboration, the execution of which will drive collaborative ventures towards success.

This paper provides empirical evidence for collaboration as a hierarchical reflective construct. The model is tested by data collected from Industries in India.

This study aims to identify the driving factors that influence blockchain technology adoption in the context of a supply chain (SC), considering three dimensions: technology, transactions and collaboration.

An integrative systematic literature review of previous studies was conducted. Using three main dimensions: technology, transactions and SC collaboration, supported by the unified theory of acceptance and use of technology, transaction cost economics (TCE) and concepts of SC collaboration, the authors categorized factors that contributed to blockchain technology in SC in the extant literature and proposed a theoretical model that covers these three dimensions.

The findings reveal that the information sharing category – related to the SC collaboration dimension – is the category with the greatest number of motivating factors for blockchain adoption in the SC context, followed by performance expectancy and behavioral uncertainty.

The review considers papers published until 2021 obtained from a specific database.

This study focuses on filling the research gap concerning technology adoption as it considers the interconnection formed by two organizations, interorganizational transactions and SC collaboration, using complementary theories to explain the phenomenon.