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This paper proposes an instrument to measure the extent of collaboration in a supply chain consisting of two members, suppliers and retailers.

The proposed model for collaboration incorporates collaborative practices in information sharing, decision synchronisation and incentive alignment. A collaboration index is introduced to measure the level of collaborative practices. A survey of companies in New Zealand was conducted to obtain data to test and evaluate the collaboration index.

The survey results confirmed the reliability and validity of the proposed collaboration index measure for measuring collaboration. The findings also showed that the collaboration index was positively associated with operational performance.

Future research could consider larger sample sizes and cover other industry types.

Supply chain participants will be able to measure the extent of their collaboration and seek improvement in their performance.

This paper contributes to the literature by introducing a new index for measuring the extent of supply chain collaboration. This measure can be used by any participant (member) in a supply chain to identify the level of collaboration and seek improvement.

The purpose of this paper is to design and develop a balanced scorecard (BSC)-based index for quantifying the suitability of suppliers to mature to the next level of collaboration with the buyer company.

A BSC-based decision framework was developed using factors and factor indicators affecting collaboration with the supplier, using exploratory research. The proposed decision framework was implemented as a real-world case study in an Indian manufacturing organisation by using the Analytic Hierarchy Process. An 11-step methodology was developed to quantify supplier suitability to mature to the next level of collaboration. This is referred to as the “supplier collaborative performance index” (SCPI).

The proposed decision-making framework helps quantify the extent of collaboration with each supplier. It serves as an index by using the perspectives that are significant for the strategic performance of the buyer company, the factors that affect the collaboration and their specific factor indicators. The initial results of the implementation of the case study were found to be useful in judging supplier suitability in order to mature in their relationship.

A comprehensive BSC-based framework for enhancing relationships with suppliers, SCPI will be instrumental in deciding, managing and improving the level of collaboration with suppliers in manufacturing companies, depending on priorities.

This approach provides a single index to establish the supplier’s suitability to mature to the next level of collaboration with a buyer company. The higher the value of the Collaboration Index for a supplier, the better is the chance to move to the next level of maturity.

This paper seeks to propose a methodology to measure the extent of collaboration between apparel retailers and manufacturers in the apparel retail industry in India.

The proposed model for measuring collaboration considers variables like top management commitment, information sharing, trust among supply chain partners, long‐term relationships and risk and reward sharing. Level of collaboration is measured using graph theory.

The survey results confirmed the validity of the proposed collaboration index for measuring collaboration. The findings also show that the collaboration index is positively associated with operational performance.

Future research could consider larger sample sizes and cover other industrial sectors.

Supply chain partners will be able to measure the extent of their collaboration and seek improvement in their performance. This approach helps to compare organizations in terms of their collaboration capability.

This paper contributes to the literature by introducing an index for measuring the extent of supply chain collaboration. This measure can be used by any participant (member) in a supply chain to determine the level of collaboration and seek improvement.

Supply chain collaboration enables firms to achieve better performance. It requires close arrangements of collaborative practices among the participating members. Searching for better practices and ideas that lead to superior performance means that the chain members also need to benchmark their current collaborative practices to other collaborative supply chains. Benchmarking enables them to identify the highest standards of excellence in customer services and processes and implement necessary improvements to match or exceed these standards. This paper, reports a benchmarking study on supply chain collaboration between retailers and suppliers, which incorporates collaborative practices in information sharing, decision synchronisation, and incentive alignment. An empirical study was carried out to benchmark the profile of collaborative practices and operational performance. The study also compared differences in the use of collaborative practices from retailer and supplier perspectives.

Analyze patterns of co-authorship in hospitality and tourism (H&T) research using bibliometric methods. The purpose of this paper is to answer three questions related to collaborative practices, the number of authors, the order of signatures and the role of the corresponding author.

The methodology is based on the bibliometric techniques of authorship analyzes published in leading H&T journals. Evaluative techniques provide longitudinal evidence of the evolution of some indicators of authors’ collaboration: the percentage of alphabetized authorships; the percentage of articles were the most relevant author signs in the first, middle or last position; and the position of the corresponding author in the by-line.

First, the collaborative nature of H&T research is confirmed; almost 80% of articles in the sample are co-authored. Second, over the past 30 years, the alphabetized signature model has been in decline in this field. Today, about 20% of articles indexed in JCR journals are signed alphabetically. Third, the first author’s placement is less consistent than that of the corresponding author.

This work provides relevant information on researchers’ authorship habits that may help evaluators assign credit and accountability and avoid malpractice in the authorial assignment.

This study explores the habits of researchers who collaborate to improve their productivity, impact and reputation. This is often linked to facilitating access to research funding and obtaining recognition from incentive systems. Yet, no research specifically examines trends in signature order or the corresponding author’s role in the H&T field.

The purpose of this paper is to propose an instrument to evaluate the collaboration quality of sustainable supply chains by considering collaboration behaviour and sustainability factors.

The proposed model integrates Quality Function Deployment (QFD), Fuzzy Analytical Network Process (FANP) and Data Envelopment Analysis (DEA) to assess the efficiency score of each stakeholder involved. A case of a sugar company in Indonesia was analysed as the illustration of the application of the model.

The integrated QFD-FANP-DEA method enables to incorporate collaboration behaviour and sustainability factors in a single assessment model. The results of the case study showed the benchmarking results associated with the performance variance of stakeholders and the number of samples.

Future research could consider other DEA approaches, extend the research by simulating a different number of scenarios and evaluating the improvement/deterioration, and expand the scope of collaboration.

Each stakeholder will be able to obtain the collaboration assessment results, and the improvements suggested by the model.

Smallholders and farmers will be able to increase their benefits by using the existing resources.

This paper provides a methodological contribution by introducing new collaboration quality assessment methods that can accommodate any variance in multi-stakeholders, involve qualitative and quantitative measurements, and benefit all stakeholders.

This study is an attempt to evaluating the growth of scientific literature in the domain of coronavirus and Covid-19 pandemic research based on scientometric indicators: prolific countries and relative citation impact (RCI); influential institutions; author analysis and network, h-index and citation; DC (degree of collaboration), CC (collaboration coefficient), MCI (modified collaboration index) in the subject domain of coronavirus and Covid-19 research.

The authors adopted approaches to obtain the literature data from Scopus database from 2000 to 2020 by conducting a systematic search using keywords related to the studied subject domain. In total, 15,297 numbers of records were considered for the literature analysis considering the real significant growth of this subject domain. This study presented the scientometric analysis of these publications. Furthermore, statistical correlations have been used to understand the collaboration pattern. Visualization tool VOSviewer is used to construct the co-author network.

The present study found that 53.57% (8,195) of the research documents published on the open-access platform. Journal of Virology was found to be most preferred journal by the researcher producing around 839(5.48%) articles. USA and China dominate in the research output, and the University of Hong Kong has produced the highest number of research paper 547(3.58%). A significant portion of the research documents are published in the subject domain of medicine (49.70%), followed by immunology and microbiology (35.72%), and biochemistry, genetics and molecular biology subject domains (22.32%). There has been an unparalleled proliferation of publications on COVID-19 since January 2020 and also a significant distribution of research funds across the globe.

The study exclusively examines 15,297 research outputs which have been indexed in the Scopus database from 2000 to 2020 (till 01 April 2020). Thus, documents published in any other different channels and sources which are not covered in Scopus are excluded from the purview of research.

It will be beneficial for researchers and practitioners worldwide for understanding the growth of scientific literature in the coronavirus and COVID-19 and identifying potential collaborator.

Considering the global impact and social distress due to the outbreak of COVID-19 pandemic, this study is significant in the present scenario for identifying the growth of scientific literature in this field and evolving of this domain of research around the globe. The research results are useful to identify valuable research patterns from publications and of developments in the field of coronavirus and COVID-19.

The purpose of this paper is to present a conceptual supply chain (SC) hierarchical framework to measure the effectiveness and efficiency of the collaborative SC based on the Maslow’s hierarchy of needs and supply chain integration (SCI), supply chain visibility (SCV) and information sharing (IS).

Multimethods were applied. The first part of the research was undertaken using a deductive approach with rigorous and systematic analysis of the research material and the use of a survey instrument. The data collected through the survey are analysed and presented with descriptive statistics and cross-tabulations. The second part of the research is an extension of the analysis of the first part linking with the Maslow’s hierarchy of needs to form the basis for development of the SCI hierarchy.

The levels of SCI, SCV and IS are significantly different for organisation dimensions such as size, industry type and region of operations. The SCI hierarchy based on Maslow’s hierarchy of needs provides a number of indices to measure the effectiveness of SCI, IS, SCV in a collaborative SC.

The research focusses only on manufacturing, 3PL, fast-moving consumer goods and retail industries.

The research work provides some insights for practitioners on best practices for SC collaboration and measurement of collaborative effectiveness.

The primary value of this paper is the development of standardized levels of SCI, IS and SCV and the proposed measurement of the collaborative effectiveness of the SC. It could be a proposed approach for empirically evaluating the levels of SCI, IS and SCV subject to organisational dimensions.

This paper seeks to report the results of a study examining the importance of information quality for the efficacy of collaborative supply chain practices.

A questionnaire was sent to procurement managers throughout the supply chain within the German automotive industry. Regression analyses illustrate the differences in performance of collaborative practices under high and low information quality scenarios.

The study illustrates that the impact of collaborative supply chain practices (i.e. information sharing, incentive alignment, joint‐decision making) on performance varies significantly depending on the quality of information that is exchanged throughout the supply chain. Specifically, whilst information sharing improves operational performance when low and high quality information is exchanged, incentive alignment and joint decision making only improve operational performance when the information is of high quality.

Although research on the performance impact of collaborative supply chain practices has advanced over the past decade, there is still a scarcity of research acknowledging the multidimensional nature of collaboration. Additionally, the importance of information quality for the success of collaborative practices has not been firmly established. The paper addresses this void in the literature by reporting results of an empirical study examining collaborative supply chains and practices within the German automotive industry. The paper will thus be beneficial to supply chain managers considering collaborative practices and will support further empirical research work in the collaborative supply chain research field.

The internet and web‐based technologies have enabled the integration of information systems across organisational boundaries in ways that were hitherto impossible. The measurement of e‐business (EB) value has been traditionally considered as a single construct. However, the desire to develop a comprehensive understanding of the impact of EB applications from a theoretical perspective has resulted in the modelling of multiple EB constructs. The impact of EB enabled collaboration on operational performance was also investigated. The purpose of this paper is to explore the enabling role of multiple dimensions of EB investigating if all EB applications impact directly and positively on supply chain collaboration.

A web‐based survey was carried out to collect data within the German automotive industry. Structural equation modelling was conducted to test the measurement and structural model.

The results provide justification for the modelling of EB in multiple dimensions. Furthermore, some EB applications impacted positively on supply chain collaboration whilst some did not. The results also proved that EB enabled collaboration impacted directly and positively on the multiple dimensions of operational performance tested.

EB applications cannot be viewed by practising managers as being universally beneficial in improving collaboration across a buyer‐supplier boundary. However, the results reveal that, by carefully selecting the most appropriate EB applications, operations improvement benefits can be realised across a range of operational metrics due to enhanced supply chain collaboration.

The deconstruction of EB into multiple constructs will enable the measurement of EB value to be more accurately assessed. Furthermore, the direct impact of EB‐enabled collaboration to facilitate interaction and integration and its impact on operational performance adds to the body of knowledge within the larger research field of supply chain collaboration.