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This study aims to propose and develop a new digital collaborative supply chain (CSC) model completely based on the emerging Industry 4.0 technologies. The digital model aims to support the main factors likely to affect CSC. This proposed model combines the most well-known digital tools such as blockchain technology, Internet of Things (IoT) and cloud computing (CC).

Motivated by its effective solution to enhance trust, traceability, transparency and minimize costs and risks, the combination of the most well-known digital tools such as blockchain technology, IoT and CC to develop a new digital CSC model is addressed in this research. This study first investigates and conducts a deep review analysis that explores how Industry 4.0 technologies can enable collaboration mechanisms. Second, based on an analysis of literature review, the main factors likely to affect CSC have been identified and analysed. Finally, the authors combine digital tools to support the identified factors to enhance transparency, traceability and trust by proposing a new digital CSC model. This proposed model will be used as a referential guide to encourage and motivate SC actors to collaborate in digital CSC.

This work provides many important contributions to theory and practice. First, role and impacts of the most well-known digital tools such as blockchain technology, IoT and CC for digitizing CSC have separately presented and developed. Second, the authors conceptualized a framework by developing a new digital CSC model. This conceptual digital model can be used as a referential guide for all SC actors in order to motivate them to collaborate in a modern, intelligent, secure and reliable SC. It can also support all factors affecting CSC.

The originality of this study is first investigating separately the roles and impacts of each digital tool on CSC performance. Second, the authors combine the most well-known digital tools such as blockchain technology, IoT and CC in order to develop an efficient, smart, modern and new digital CSC model. In this combination, CC is used as platform as a service enabling to link and connect the blockchain and IoT to support the main factors affecting CSC. Unlike to digital CSC model with only one digital tool, the proposed model is more realistic since depending on the information to be shared with other actors, the most appropriate tool will be automatically detected and used. This solution offers a large choice to SC actors for real time data and information sharing. In addition, the proposed model will largely enhance traceability, transparency and trust in CSC.

This study aims to investigate the importance and effect of asymmetric technological collaborations’ key success factors in developing countries. The number of collaborations between large enterprises and SMEs, known as asymmetric technological collaborations (ATC) is growing considerably. But this asymmetry in itself can increase the number and intensity of collaboration challenges. So far, limited studies have been conducted on the stability of ATCs, and most of them have been in the context of developed countries. Meanwhile, studying the strength and stability of collaboration in the nano industry with growing market value and increasing newcomers is of particular importance.

Here, with bionic engineering approach, we used chemistry for the first time to identify the main stability factors of ATCs and build our hypotheses and research model. To this end, we introduced the factors affecting the stability of the dative chemical bond as a bionic counterpart of corporate venture capital (CVC), which is a type of ATC, and proposed 4 hypotheses. We used structural equation modeling (SEM) with partial least squares (PLS) method to examine the hypothesized relationships.

The analysis of survey questionnaire data from 26 asymmetric collaborations in Iran’s nanotechnology industry shows that “learning of the acceptor company” with a negative effect, “network ties” and “development of the collaboration host region” with a positive effect and “diversity in the collaboration portfolio” with an inverted U-shaped effect are the most influential factors in the stability and continuity of CVCs, respectively.

The findings of this research can be the beginning of a broad path leading to exploring and getting inspiration from chemistry to analyze management issues.

Transaction costs in projects can be reduced through improved collaboration between contractors and clients. The purpose of this paper is to respond to the call for further research on the framework suggested by Li et al. (2015) who presented 26 factors that determine project transaction costs. The objective is to empirically test the framework to identify factors that have the greatest influence on project collaboration so that practitioners can prioritize their efforts on the most salient factors that will improve collaboration and reduce transaction costs.

The paper employed interviews with 38 project practitioners from three different industries in Norway. The respondents had in average 20 years of professional experience.

The quality of communication, project uncertainty, owner’s organizational efficiency, change orders and trust were the five most frequently found factors that influence both project transaction costs and collaboration level. When the authors compared findings between different industries the authors found that the quality of communication was important for all industries. The owner’s organizational efficiency was also highly important in oil and gas and ICT projects. Trust was particularly important in oil and gas projects while frequency of claims was particularly important in construction projects.

This paper identifies the five most important factors for project practitioners to prioritize in order to reduce transaction costs through improved collaboration.

The paper contributes to the conceptual theory of transaction costs and collaboration as it empirically tests and extends the framework developed by Li et al. (2015).

The study aims to adopt a multi‐stakeholder and inter‐organizational information systems (IOIS) approach for investigating the factors affecting the adoption of destination management systems (DMS) by various tourism stakeholders in Greece.

A literature review and focus groups were used for identifying and contextualizing the factors affecting the tourism stakeholders' decision to adopt DMS. In addition, a nationwide survey was conducted measuring the perceptions of various stakeholders in Greece about the factors influencing their DMS adoption.

The findings demonstrate that inter‐organizational and collaboration issues, secondary intra‐organizational and technological factors affect stakeholders' decision to adopt DMS. Significant different perceptions about the role and effectiveness of DMS were found between private and public tourism organizations, which highlight the need to manage the different (and sometimes conflicting) stakeholders' perceptions and interests.

Research can be conducted in different sectors to refine and test the findings about the factors influencing IOIS adoption in various social and environmental contexts. Future studies could also refine the findings by investigating not only the factors affecting the adoption of DMS but also the factors influencing their implementation and operations.

The findings reveal important factors that need to be considered for influencing the stakeholders' decision to adopt IOIS and DMS in tourism. Specifically, the study highlights the need to address the adoption of DMS as a socio‐technical project that primarily emphasizes the management of stakeholders' relations, perceptions and interests. The findings also reveal the organizational and behavioural changes that are required in order to transform the management and increase the effectiveness of public DMS, which in turn can significantly increase the DMS adoption.

The findings contribute to the tourism field by examining DMS from a multi‐stakeholder and IOIS approach. The study also contributes to the IOIS literature by contextualizing and providing evidence of IOIS results from the tourism industry, since contextualization is considered crucial for refining and enhancing the transferability of IOIS research. The study also further advances IOIS research by including and investigating the perceived importance of items about the social context of IOIS (i.e. interorganizational and collaboration issues) as explanatory factors of IOIS adoption.

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 research aims to investigate how organisational and contextual factors affect supply chain collaboration and how that, in turn, influences firms' competitive advantage in the garment industry in the context of Vietnam, a developing country.

Following a qualitative research design, in-depth interviews were conducted with senior managers who are involved in supply chain collaboration in twelve garment companies in Vietnam. The data were recorded, transcribed and analysed using NVivo 12. Based on the literature and interview findings, a research model underpinned by the relational view (RV) and institutional theories, with organisational and contextual factors being the antecedents and competitive advantage as the outcome of supply chain collaboration, was proposed.

The findings showed that organisational and contextual factors induce both internal, supplier and customer supply chain collaboration. There is also a positive relationship between supply chain collaboration and competitive advantage. Based on these findings, a strategy matrix for supply chain collaboration is also put forward.

This is one of the first empirical attempts to investigate the role of organisational and contextual factors as potential antecedents of supply chain collaboration and its effects on competitive advantage in the garment industry. The research is expected to enrich both the literature and management practices on supply chain collaboration in the context of developing countries.

Deploying hybrid construction project teams (HCPTs) in which the common pattern of interactions is a blend of face-to-face and virtual communications has been increasingly gaining momentum in the construction context. Evidence has demonstrated that effectiveness of HCPTs is affected by a perceived level of virtuality, i.e. the perception of distance and boundaries between members where teams shift towards working virtually as opposed to purely collocated teams. This study aims to provide an integrated model of the factors affecting perceived virtuality in HCPTs, to address the conspicuous absence of studies on virtuality in the construction context.

An a priori list of factors extracted from existing literature on virtuality was subjected to the scrutiny of 17 experts with experiences of working in HCPTs through semi-structured interviews. Nvivo 10 was deployed for analysing the interview transcripts.

The findings outline the factors affecting virtuality in HCPTs and map the patterns of their associations as an integrated model. This leads to discovering a number of novel factors, which exert moderating impacts upon perceived virtuality in HCPTs.

The findings assist managers and practitioners dealing with any form of HCPTs (including building information modelling-based networks and distributed design teams) in identifying the variables manipulating the effectiveness of their teams. This enables them of designing more effective team arrangements.

As the first empirical study on virtuality in the construction context, this paper contributes to the sphere by conceptualising and contextualising the concept of virtuality in the construction industry. The study presents a new typology for the factors affecting perceived virtuality by categorising them into predictors and moderators.

There is a growing body of literature discussing the green logistics practices (GLPs) that companies could introduce to reduce the logistics environmental impact. Current approaches also identify several influencing factors within firms that could serve as barriers to, or enablers of, GLPs. However, less is known about the role of extra-firm stakeholders, even though these are crucial to operationalizing green logistics effectively. This study merges current theoretical understanding with empirical evidence to provide a detailed stakeholder analysis of GLPs.

Using stakeholder theory as a theoretical lens, the authors aimed at offering a mid-range contribution by conducting multiple embedded case studies examining Italian logistics service providers and shippers. GLPs and the related influencing factors were examined as sub-units of analysis within broader companies' environmental sustainability strategies.

The authors identified cascading effects among factors influencing the adoption of GLPs (e.g. key economic factors are affected by external factors which also influence organizational and collaboration factors). These effects are moderated by interdependencies between primary and secondary stakeholders, and the study highlights the prominent involvement of secondary stakeholders, such as final consumers.

This paper contributes to better understanding how and why companies adopt GLPs, emphasizing the wide set of stakeholders involved and illustrating how different stakeholders impact on GLPs adoption by affecting a set of influencing factors. By combining insights from the available literature with contemporary empirical data, the authors emphasize how Logistics Service Providers (LSPs) and shippers can no longer address the adoption of GLPs as “focal companies”, but only as part of a “focal network of interconnected stakeholders”, all of them influencing GLPs adoption.

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.

The aim of this research was to study collaborative practices with suppliers in multinational manufacturing companies operating in India and to develop a framework for collaboration with suppliers.

This study adopted a four-step mixed-methods approach that included qualitative and quantitative methods. Qualitative technique was used to explore the factors and develop a balanced scorecard-based (BSC – balanced scorecard) framework using them. Quantitative technique was used to validate the framework statistically and also by using fuzzy analytical hierarchy process using perception-based ranks given by practitioners.

The exploratory research resulted in 26 antecedents for collaboration with suppliers in supply chains. Out of these 26, only 19 were considered based on importance given by practitioners. Further, the identified antecedents were classified and mapped based on the perspectives of the BSC. The extended BSC adds business environment and partnership perspectives to existing BSC framework. Some of the important factors identified under these perspectives were transparency of transactions, long-term commitment and trust. The customer perspective was given the utmost importance by the practitioners.

There are certain issues that may limit the completeness of the work in a global context. The number of organizations (21) and respondents (45) may also be insufficient to convey the complete knowledge embedded in the practice of the field.

The study provides practical insights about the factors affecting collaboration with suppliers. A BSC-based framework for collaboration with suppliers was also developed along with the associated importance of each perspective and factors under each perspective, which can prove to be of great value to academics and practitioners involved in relationship with suppliers in supply chain.