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The purpose in this paper is to develop a systematic literature review aiming to reveal innovation opportunities associated with the thematic collaboration and trust in the reverse logistics field.

The authors adopted a parallel analysis approach segregating the systematic literature review papers in two groups at NVivo®, collaboration and trust in the supply chain and collaboration and trust in reverse logistics, aiming to explore in the first group of papers insights for innovation on collaboration and trust in reverse logistics. The content analysis strategy was supported by the knowledge exchange theory described in Gravier et al. (2008).

Reverse logistics is hardly dissociated from broader sustainable supply chain management approaches, which make all considerations on collaboration and trust designed for such approaches valuable and valid for reverse logistics. Collaboration and trust concepts in supply chain and in reverse logistics contexts are quite similar, while collaboration/trust is mandatory for managing networks in sustainable approaches and in reverse logistics, as well. Downstream and upstream, the chain disruptive innovation business models may be developed between focal companies and returns system third-party logistics providers, fourth-party logistics providers or end-customers, in a business-to-customer collaboration approach. Several collaboration technologies are listed in three perspectives: knowledge sharing, knowledge generation and knowledge implementation.

This study uses a specific protocol for the systematic literature review, and due to inclusion and exclusion criteria, other protocols can provide different results. The strategy of analysis under the knowledge exchange perspective may give a type of result different from other perspectives.

This research systematizes the existing knowledge on the collaborations and trust, which is a priority basis for reverse logistics, providing insights to researchers and practitioners in the area and identifying an agenda for future studies.

The purpose of this paper is to propose performance measures for supply chain knowledge management (SCKM) performance.

This is a conceptual study. State of performance measurement has been analyzed on the basis of a comprehensive review of literature in field of SCKM. Based on principles of double and triple loop learning, performance measures have been identified for measuring the success of KM practices in SCs.

Principles of double and triple loop learning have been utilized to suggest KPI’s for SCKM performance, i.e. supply chain identity and knowledge supply chain stratum. The relevance and justification of these KPI’s is also discussed.

This study is limited to conceptualized measures for SCKM only. Further research is required to test the benefits of these performance measures based on industry applications.

These proposed KPI’s will facilitate the development of the new processes through re-engineering, i.e. problem identification and then rectification. Further, these KPI’s will provide some essential insights as to how supply chains can develop their performance evaluation systems to become more effective and learning oriented.

This study aims to not only identify the gaps present in the SCKM performance measurement literature but also aims to fill the knowledge gap by suggesting suitable performance metrics.

To investigate the linkage between organization performance criteria and the dimensions of agility, e‐supply‐chain drivers and knowledge management.

The analytic network process is applied as the research methodology in the context of executive decisions that include qualitative and quantitative attributes. The decision model is presented, along with a case study with an e‐supply chain of a global telecommunications company.

The study develops a framework for measuring the relative importance of a particular dimension based on the application of theoretical concepts from the information systems and management science literature to the digital, knowledge economy. Since contextual factors play a critical role in the design of effective knowledge‐management (KM) systems, technical and process solutions need to be customized to fit the organization performance criteria, dimensions of agility and supply chain drivers.

The model presented is dependent on the perceptual weightings provided by the decision‐maker and the generalizability of findings based on our model to other organizations may be limited.

This paper addresses the need for a strategic decision‐making tool to assist management in determining which knowledge management construct is most beneficial in the development of an agile supply chain.

This paper fulfils an identified information need and offers practical help in a dynamic and competitive environment by providing a decision model that assists in determining which construct of KM is most important based on an organization's performance criteria, dimensions of agility and supply‐chain drivers.

Understanding the factors that advance green innovation is crucial for firms to deal with the complexity of green innovation. In light of this, this study aims to explore the influence of supply chain knowledge, non-supply chain learning and corporate reputation on green innovation.

This study uses a quantitative research approach where data is gathered from managers of 208 small and medium enterprises in Ghana using survey questionnaires. The structural equation modeling is used to analyze the survey data.

The findings reveal supply chain knowledge relates positively with non-supply chain learning, corporate reputation and green innovation. Corporate reputation also impacts green innovation positively and provides partial mediation effect between supply chain knowledge and green innovation. Meanwhile, non-supply chain learning does not relate positively with green innovation as well as fails to mediate the impact of supply chain knowledge on green innovation.

This study contributes to knowledge in the mediating mechanisms of corporate reputation and non-supply chain learning between supply chain knowledge and green innovation. Through this, the authors propose a theoretical model to explain how firms can leverage supply chain knowledge, corporate reputation and non-supply chain learning to improve green innovation and can serve as the basis for further theoretical and empirical research in innovation and external sources of knowledge.

The purpose of this paper is to develop and empirically test a framework analyzing the relationship of collaborative knowledge management practices (CKMP) with supply chain integration and supply chain knowledge quality.

The design of the study is based on a survey of 411 firms from eight manufacturing industries that are actively involved in inter‐firm knowledge management practices with supply chain partners. First a measurement instrument for CKMP was statistically validated with confirmatory factor analysis. Then the structural equation modeling (SEM) path analysis was used to assess the structural relationship of CKMP with supply chain knowledge quality and supply chain integration.

The study found that engagement in CKMP can lead to better integration between supply chain partners and increased organizational knowledge quality.

The study was conducted at the firm level for activities involving inter‐firm knowledge sharing. Some measurement inaccuracy might be generated with a single respondent from each organization answering questions about both supply chain management issues and knowledge management‐related issues.

By identifying collaborative knowledge generation, storage, access, dissemination and application as the major components of CKMP, this study advises organizations on how to collaborate with partner firms on sharing supply chain knowledge. CKMP's positive relationship with knowledge quality and supply chain integration provides organizations with practice‐related motivation for engaging in collaborative knowledge management and alerts them to the possibility of other potential benefits from it.

As one of the first large‐scale empirical efforts to systematically investigate collaborative knowledge management processes in a supply chain management context, this paper can be used as basis for enhanced homological understanding of this domain, by exploring antecedents and consequences of collaborative knowledge management.

The purpose of this paper is to examine the effect of knowledge management capabilities (KMCs) on organizational learning (OL) and supply chain management practices (SCMPs). In addition, to study the effect of OL, KMC and supply chain management on organizational performance (OP).

To study the relationships between KMC, OL, SCMP and OP, different techniques such as factor analysis, correlation analysis and structural equation modeling were used to verify the validity of the proposed conceptual model, and to test the suggested hypotheses, data collected from 165 companies in the Saudi food industry (representing a response rate of 64.9 per cent) were used.

According to the study’s findings, SCMP and OL are positively affected by KMC. Moreover, OP is directly affected by KMC, OL and SCMP.

Owing to the specific nature of the sample, the findings of the current research are applicable only to the food industry.

The current research introduced a conceptual model, which has been tested and verified in the Saudi food industry. The findings recommend that both KMC and OL as well as SCMP will contribute to improving the OP. In addition, KMC will improve the SCMP and OL.

Taking a social network perspective, the purpose of this paper is to develop a framework for the assurance of food safety via relational networking.

The authors consider both informal and formal relational networking, and explore a firm’s learning orientation, risk aversion and consumer pressure as potential precursors to such relational networking. It is further hypothesized that relational networking generates both industry and supply chain knowledge, which is suggested to be beneficial for contamination detection. The model is tested with survey data collected among food-producing firms in India, the world’s second largest food producer.

The authors find a positive influence of consumer pressure on both a firm’s learning orientation and risk aversion, which in turn affect both informal and formal relational networking. Informal networking further generated industry knowledge and was beneficial for contamination detection. Formal relational networking influenced supply chain knowledge, which in turn enabled contamination detection.

Recent food product-related safety breaches, which have, in the worst case, led to fatalities, illustrate the importance of food safety in supply chains. This study represents the first systematic investigation of relational networking in the context of food safety from the perspective of social network theory.

The main aim of this study is to provide a framework for technology-based factors for knowledge management in supply chain.

This is an applied research and has been done as a survey in Iran Khodro and Saipa Company as the largest companies in automotive industry of Iran. In this study, 206 experts participated. Reliability methods were Cronbach’s alfa, and validity tests were content and construction analyses. In response to one main question and three sub-questions in this research, first and second confirmative factor analysis were used.

In this research, after a literature review, a comprehensive framework with three factors is presented. These factors are information technology (IT) tools, information systems integration and information security management. The findings indicate that the first framework in supply chain of the automotive industry has a good fitness and perfect validity. Second, in this framework, factors have also been considered based on importance. The technique of factor analysis was given the highest importance to the information systems integration. Then, IT tools and, ultimately, information security management are considered. In addition, findings indicate that information systems integration has the highest correlation with IT tools.

The main innovation aspect of the research is to present a comprehensive framework for technology-based factors and indices for knowledge management in supply chain. In this paper, in addition to presenting a grouping for IT tools for knowledge management processes in supply chain, key indices for information systems integration and information security management are also referred.

The purpose of this paper is to examine the effect of knowledge management capabilities (KMCs) on supply chain management practices (SCMP) and organizational performance (OP) in firms, in addition to examining the effect of supply chain management on OP.

To demonstrate the effect of KMCs on SCMP, and OP, different techniques such as factor analysis, correlation analysis, and structural equation modeling were used to verify the validity of the proposed conceptual model and to test the suggested hypotheses, using data collected from 165 companies in the Saudi food industry (representing a response rate of 74.9 percent).

According to the study’s findings, SCMP are positively affected by KMCs. Moreover, OP is directly affected by KMCs and SCMP.

Due to the specific nature of the sample, the findings of the current research are applicable only to the food industry.

The current research introduced a conceptual model, which has been tested and verified in the Saudi food industry. The findings recommend that both KMCs as well as SCMP will contribute to improving the OP. In addition, KMCs will improve the SCMP.

This paper aims to analyze how organizational conditions, technology adoption, supplier relationship management and customer relationship management affect knowledge creation through socialization‐externalization combination, internalization (SECI) modes, and various ba, as proposed by Nonaka and Konno, in a supply chain.

A qualitative inquiry with thematic analysis, which focuses on a thin film transistor‐liquid crystal display (TFT‐LCD) panel manufacturer and an integrated circuits (IC) packaging and testing manufacturer, is presented in order to identify how these key factors affect knowledge creation in a supply chain environment through the SECI modes and ba.

The results show that these critical factors facilitate different types of knowledge conversion process in order to achieve successful knowledge creation in a supply chain. Knowledge of the significant factors that were found in this study may be applicable to countries or areas such as Hong Kong, Korea, Singapore or other developing countries, whose dominant businesses are similar to the original equipment manufacturers (OEMs)/original design manufacturers (ODMs) in Taiwan.

This paper considers the case study only as one empirical illustration of many other possible implementation processes. The study does not assume that these companies are a paradigm or that the specific situation is applicable to all other business enterprises. Future researchers interested in this field are therefore encouraged to triangulate its findings by examining variables generated from this study.

This study employs a quantitative approach to investigate critical knowledge creation factors for supply chain performance. Through empirical study, a better understanding of the dynamics of knowledge creation in a supply chain can be gained.