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The purpose of this paper is to develop and validate a scale measurement of supply chain operations reference (SCOR)-related performance indicators and proposed constructs, SCOR-related performance indicators as practices within the Indian manufacturing sector.

A literature-based model on SCOR processes with five constructs and respective performance indicators was empirically validated by using a structured questionnaire. A total of 155 respondents among Indian manufacturing sector participated in this research, and the returned questionnaires were analyzed by using structural equation modeling.

The study established a relationship among the SCOR-related performance indicators and overall supply chain performance indicators (OSCPI). The moderation effect of demographic characteristics, namely, employee size, company age and type of company showed significant differences between SCOR-related performance indicators and overall supply chain indicators.

The scope of the study is limited to specific Indian manufacturing firms. The survey could not represent whole population of manufacturing sector.

The findings assist managers/supply chain practitioners in improving the performance measures identified using the standard framework, i.e., SCOR processes, overall supply chain performance measures as standard practices for Indian manufacturing sector for a profitable and sustainable business growth in global environment.

This research holds a value for suggested practices under SCOR processes and the proposed model for OSCPI, a path finder/performance measurement tool for supply chain professionals in the Indian context.

The aim of this paper is to offer an overview of the current state of research in a specific field of transport, namely synchromodality. This includes a conceptual discussion of this innovative transport concept to differentiate it from previous concepts as well as the identification of the antecedents, mechanisms and effects of synchromodality.

The paper combines systematic and content analysis-based approaches to literature review to analyse and synthesise a final sample of 88 publications related to synchromodality.

Synchromodality is a transport concept in its infancy which suffers from ambiguous definitions and a lack of theoretical grounding. The paper identifies four mechanisms which differentiate synchromodality from other transport concepts: real-time switching, integrated network planning, horizontal collaboration and mode-free booking. Seven technical and six managerial antecedents for these mechanisms of synchromodality are defined.

Existing research on synchromodality is largely focused on technical antecedents (e.g. information and communication technology, sophisticated planning systems). Suggestions for further research include managerial problems such as business models or measures to induce a mental shift and trust.

This paper gives a structured overview of the research field of synchromodality and presents existing research from a content-focused perspective. It also indicates opportunities for future research and contributes to a generally accepted understanding of synchromodality.

Integration is a key element of supply chain management (SCM) and a lot of research has been executed within the field of supply chain integration (SCI). The purpose of this paper is to particularly identify the intellectual research front and foundation of SCI and how they developed over time.

The authors examined more than 1,700 peer-reviewed academic papers that were published between 1995 and 2019 in nearly 40 relevant peer-reviewed academic journals (all indexed in Web of Science). The authors analysed the structure of more than 55,000 individual references with the R-package bibliometrix and used VOSviewer for visualization.

The SCI research front is characterized by papers that show the effects of SCI on the firm performance, the consequences of SCI on SCM in general and present the enablers of SCI. The research front is embedded within the resource-based, transaction cost and contingency theory. The intellectual foundation refers to conceptual modelling, definitional clarification and integration dimensions. The research identifies Frohlich and Westbrook’s (2001) paper as the central reference for this research area. The dynamic evolution of the intellectual foundation of SCI changed from theorising in Phase 1 (1995–2006) towards empirical testing in Phase 2 (2007–2019).

The results refer to the SCI discussion within a preselected number of peer-reviewed academic journals and to the data quality as provided by the Web of Science.

The study explored the research front and intellectual foundation of SCI. It reveals the most important papers and journals of this area by using bibliometric tools such as bibliometrix, biblioshiny and VOSviewer. The paper shows trends in research themes, theories and methodological developments.

The purpose of this paper is twofold: to identify, evaluate and structure the research that focusses on omni-channel retailing from the perspective of logistics and supply chain management; and to reveal the intellectual foundation of omni-channel retailing research.

The paper applies a multi-method approach by conducting a content-analysis-based literature review of 70 academic papers. Based on the reference lists of these papers, the authors performed a citation and co-citation analysis based on the 34 most frequently cited papers. This analysis included multidimensional scaling, a cluster analysis and factor analysis.

The study reveals the limited consideration of logistics and supply chain management literature in the foundation of the omni-channel retailing research. Further, the authors see a dominance of empirical research as compared to conceptual and analytical research. Overall, there is a focus on the Western retail context in this research field. The intellectual foundation is embedded in the marketing discipline and can be characterised as lacking a robust theoretical foundation.

The contribution of this research is identifying, evaluating and structuring the literature of omni-channel research and providing an overview of the state of the art of this research area considering its interdisciplinary nature. This paper thus supports researchers looking to holistically comprehend, prioritise and use the underpinning literature central to the phenomena of omni-channel retailing. For practitioners and academics alike, the findings can trigger and support future research and an evolving understanding of omni-channel retailing.

The purpose of this paper is the development of a patent-based supplier portfolio that can be used to evaluate and select suppliers on account of their technological competencies.

In addition to traditional approaches, the authors develop a supplier portfolio that characterizes suppliers according to the similarity between supplier's and OEM's technological competencies as well as their technological broadness. These variables are measured on the basis of patents, which constitute a valuable source of information in technology-driven industries. Contrary to existing binary measurement approaches, the authors’ portfolio uses semantic analyses to make use of the specific information provided in the patents' texts. The authors test this method in the field of gearings, which is a key driver for the automotive industry.

The authors identify six generic positions, characterizing specific risks for an OEM to become either technologically dependent or dependent on suppliers' production capacities. For each position the authors develop specific management strategies in face of the aforementioned risks. The approach helps OEMs navigate in the competitive landscape based on the most recent and publicly available information medium.

This work explicitly applies the construct of technological competencies to supplier evaluation and selection on the basis of portfolio approaches. Furthermore, the authors improve the use of patents for supplier evaluation in two respects: First, the authors analyze OEMs and upstream suppliers on an organizational level. Second, the authors utilize advanced semantic analysis to generate variables for the measurement of the criteria mentioned above.