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There has been limited research that has explored the connection between digital supply chain (DSC) and SC innovation and SC dynamic capabilities. This paper aims to examine the mediating effect of SC innovation on the relationship between DSC and SC dynamic capabilities.

The research model and hypotheses were tested, employing (Statistical Package of Social Sciences) SPSS 25.0 and (Analysis of Moment Structures) AMOS 24.0 on data drawn from the Chinese manufacturing enterprises.

The study reveals that DSC has a significant positive effect on SC innovation and SC dynamic capabilities. SC innovation also has a significant positive effect on SC dynamic capabilities. Besides, the authors' research illustrates that SC innovation partially mediates the relationship between DSC and SC dynamic capabilities.

Since the results are derived from the data collected from China, it may not, therefore, be generalized to other settings. Moreover, future research could consider other contextual variables such as “environmental uncertainty” and “Government's Reward-Penalty Mechanism,” which may influence SC dynamic capabilities.

The study provides practical insights for senior executives and managers in the manufacturing industry. Managers should emphasize the investment of advanced digital technologies and tools (DTTs) and improvement of SC visibility and collaboration. In the digital age, companies should pay attention to the introduction of advanced technologies, tools and processes and focus on cultivating an innovative spirit to promote SC dynamic capabilities, thereby enhancing competitive advantages.

The paper illustrates that DSC is of great significance to improving SC dynamic capabilities. This study reveals compelling insights for firms to enhance SC innovation and dynamic capabilities by using DSC as an enabler.

The purpose of this paper is to examine supply chain (SC) innovation for improving organisational performance in the healthcare industry.

A research model is proposed which describes the impact of SC innovation, supplier cooperation, SC efficiency, and quality management (QM) practices on organisational performance. The proposed research model and hypotheses were tested using structural equation modeling based on data collected from 243 hospitals.

The results of the study support that organisational performance is positively associated with constructs of each SC innovation factor. Innovative design of SC has a significant impact on selection of and cooperation with excellent suppliers, improved SC efficiency, and encouragement of QM practices.

The data used in this study were collected from relatively large hospitals with more than 100 beds in South Korea. The generalization of the study results may be limited by the size of sample hospitals.

This study provides useful planning information in the healthcare industry. The results suggest successful implementation of SC management is attained through continuous SC innovation with supplier cooperation, which in turn improves organisational performance.

The purpose of this paper is to advance new insights into how internal and external social capital (SC) facets influence exploratory and exploitative innovation directly, and indirectly through absorptive capability (AC), by drawing on the relational and knowledge-based views.

The paper empirically tests the developed model using 135 survey responses from managers in construction contractor firms. Data were factor analysed, and path estimates determined using partial least squares structural equation modelling to test the hypotheses.

The results reveal that each social capital (SC) facet has direct benefits for both exploratory and exploitative innovation. The findings also show a mix of full and partial mediation paths between the facets of SC and innovation types through AC.

Extant research linking SC facets with innovation categories is fragmented. Added to this fragmentation is the dearth of studies linking both intra-firm and inter-firm SC with exploratory and exploitative innovation in firms. This paper makes a novel contribution by testing a model of the direct and indirect links (through AC) between internal and external SC and both exploratory and exploitative innovation in the context of construction contractor firms. The findings show how both facets of SC are necessary for exploratory and exploitative innovation. It reveals the types of relationships and capabilities necessary for specific innovation objectives.

This study examines the effect of supply chain (SC) learning (i.e. supplier and customer learnings) on green innovation (i.e. green product and process innovations) and investigates the moderating role of green transformational leadership in the SC learning-green innovation linkage in the construction industry.

Data are gathered from construction firms in Vietnam by a questionnaire survey. Hypotheses of the study framework are tested by hierarchical regression analysis.

Both supplier and customer learnings have positive effects on green innovation (both green process and product innovations). Furthermore, green transformational leadership moderates the linkage between supplier learning and green innovation but does not moderate the linkage between customer learning and green innovation.

Construction firms need to constantly develop capabilities of SC learning for promoting their green innovation.

The present study is one of the first attempts in construction that investigates the importance of SC learning to achieving green innovation as well as the role of green transformational leadership for strengthening the effect of green learning on green innovation.

This paper aims to determine how a strategic innovation framework that integrates the concepts of innovation function, dynamic performance management (DPM) and system-dynamics (SD) modelling can measure performance in a supply chain (SC).

The paper provides a strategic innovation framework for an SC by considering three steps. First, a systemic intervention is presented based on the innovation functions that influence SC performance. Second, an analysis of the system's performance is proposed. Third, a model SD-based simulation is designed. The developed framework is explained by employing a case study of the Colombian pig sector SC.

The results reveal that identifying and synchronising the system's performance drivers associated with the innovation functions could improve the inventory in the SC.

On the one hand, managers can use the proposed framework to evaluate the innovation investments and understand their impact on operation performance (e.g. on inventories). On the other hand, policymakers may support decision-making to improve policy design (e.g. through investment in R&D).

Few studies discuss the impacts of innovation functions on SC performance. This paper aims to fill this theoretical gap and to contribute to the literature by suggesting a novel framework which includes innovation functions.

The purpose of this paper is to propose and validate a theoretical model to investigate whether supply chain (SC) innovation positively affects risk management capabilities, such as robustness and resilience in global SC operations, and to examine how these capabilities may improve competitive advantage.

A theoretical model was developed from extant studies and assessed through the development of a large-scale questionnaire survey conducted with South Korean manufacturers and logistics intermediaries involved in global SC operations. The data were analysed using confirmatory factor analysis and structural equation modelling to validate the suggested model.

It was found that innovative SCs have a discernible positive influence on all dimensions of risk management capability, which in turn has a significant impact on enhancing competitive advantage. Therefore, this work provides evidence for the importance of SC innovation and risk management capability in supporting competitive advantage.

This study contributes to providing an empirical understanding of the strategic retention of SC innovation and risk management capabilities in the SC management discipline. Furthermore, it confirms and expands existing theories about innovation and competitive advantage.

The finding provides firm grounds for managerial decisions on investment in technology innovation and process innovation.

This research is the first of its kind to empirically validate the relationships between SC innovation, risk management capabilities and competitive advantage.

This paper aims to address the gap that, to date, no systematic review has been carried out on the role that structural social capital (SC) plays for knowledge transfer and innovation at the interpersonal, inter-unit and inter-firm levels. Individuals and organisations are becoming increasingly involved in collaboration networks to share knowledge and generate innovation. SC theory has been adopted in several areas of study to explain how individuals, groups and organisations manage relationships to generate innovation.

This review covers studies of SC in organisational behaviour, strategy and management over a period of 20 years.

The literature review shows that knowledge types and knowledge transfer processes are the missing links in the relationship between structural SC and innovation. Moreover, the paper demonstrates that seemingly opposite configurations of SC are complementary to each other (structural holes vs dense networks; strong vs weak ties) and that contextual factors should be considered when discussing the effects of SC on knowledge transfer and innovation. In addition, it is the balance of different configurations of SC which enables an individual or a company to explore, access, assimilate and combine different knowledge types, which will lead to improved innovation outcomes.

This review facilitates understanding of the role of SC for knowledge transfer processes and the mediating role of knowledge transfer processes and knowledge types in the relationship between structural SC and innovation.

Big data analytics (BDA) capabilities can affect supply chain performance in several ways. The main purpose of this study was to understand how BDA capabilities could affect supply chain performance through supply chain resilience and supply chain innovation.

The study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. Accordingly, 187 responses were collected and analyzed using partial least squares (PLS) in the SmartPLS3.

The results showed that BDA capabilities improve supply chain performance through resilience and innovation of the supply chain.

The present study also contributed to the existing literature by demonstrating the mediating role of supply chain resilience and supply chain innovation between BDA capabilities and supply chain performance. In this context, some theoretical and managerial implications were proposed and discussed.

Quite often than not, a new industry can be created, thanks to the countless entrepreneurs and innovative activities across the globe. Smart city (SC) is one such industry and a living lab using the key roles of the digital platform that enable a seamless flow of information and knowledge for innovation within the SC. The purpose of this paper is to illustrate how SC can be a new regional industry engine through an “open collective innovation system” as its new concept. In particular, SC provides efficient transaction costs and knowledge flows. Eventually, SC can be an innovation hub for entrepreneurship through openness.

To frame the research goals, the authors used qualitative research methodologies based on grounded theory. In particular, the author used inductive reasoning to generate arguments and conclusions about the future of an SC as a new growth engine in the era of the fourth industrial revolution. Numerous documents and prior literature were used for the preliminary conceptualization of an SC. Interview data were then coded for reasoning in an open collective innovation system based on “openness”.

SC maximizes efficiency in practicing innovation. In the perspective of innovation costs, SC can minimize transaction costs, specifically the information processing costs, through data openness. In this context, transaction costs can be considered an economic equivalent of friction in a physical system. So, as the friction is low, some movements of an object on the surface are likely to be easy. SC is optimized for innovation activities through an “open collective innovation system”. In terms of innovation networks, an SC results in an innovation efficiency derived from both the network and the spatial agglomerations in physical and cyberspace. The efficiency-based SC itself overlaps knowledge creation, dissemination and absorption, providing an open innovation (OI) ecosystem.

This paper remarkably extends that SC can be an “open collective innovation system model” and a new conceptualization. Eventually, SC will play a crucial role in developing regional industries as a new growth engine. To operate as a new growth engine fully-fledged, the SC is needed to accumulate innovative assets such as the critical mass of residents, numerous firms, etc. However, this study has some limitations. First, difficulties in any analytic approach to SC resulted from their many interdependent facets, such as social, economic, infrastructural and spatial complex systems, which exist in similar but changing forms over a huge range of scales. Also, this research is at a quite an early stage. Thus, its theoretical stability is weak. So, this paper used the qualitative methodology with a grounded theory. Another limitation is in the research methodology. The limitation of using grounded theory adapted by this work is that the results of this study may not be generalizable beyond the context of this study. This non-generalizability occurs because ours is an inductive approach to research, meaning that the findings are based on data collected and analyzed. As such, the results of this study may not be applicable to other contexts or situations. In addition, the analysis of data in the grounded theory is based on researcher’s subjective interpretations. This means that the researcher’s own biases, preferences and assumptions may influence the results of the study. The quality of the data collected is another potential limitation. If the data is incomplete or of poor quality, it can cause researcher’s own subjective interpretations.

Findings of this study have some practical implications for enterprises, practitioners and governors. First, firms should use value networks instead of value chains. Notably, the firms that pursue new products or services or startups that try to find a new venture business should take full advantage of SC. This taking advantage is possible because SC not only adapts state-of-the-art information technology (e.g. sensor devices, open data analytics, IoT and fiber optic networks) but also facilitates knowledge flow (e.g. between universities, research centers, knowledge-based partner firms and public agencies). More importantly, with globalized market competition in recent years, sustainability for firms is a challenging issue. In this respect, managers can take the benefits of SC into consideration for strategic decisions for sustainability. Specifically, industrial practitioners who engage in innovation activities have capabilities of network-related technologies (e.g. data analysis, AI, IoT and sensor networks). By using these technologies in an SC, enterprises can keep existing customers as well as attract potential customers. Lastly, the findings of this study contribute to policy implementation in many aspects. At first, for SC to become a growth engine at regional or natural levels, strong policy implementation is crucial because SC is widely regarded as a means of entrepreneurship and an innovation plaza (Kraus et al., 2015). To facilitate entrepreneurship, maker spaces used for making the prototypes to support entrepreneurial process were setup within universities. The reason for establishing maker spaces in universities is to expand networking between entrepreneurs and experts and lead to innovation through a value network. One of the policy instruments that can be adapted is the “Data Basic Income Scheme” suggested by this research to boost the usage of data, providing content and information for doing business. Also, a governor in SC as an intermediator for the process of the knowledge flow should initiate soft configuration for SC.

This work makes two theoretical contributions to OI aspects: (1) it explores dynamic model archetypes; and (2) it articulates and highlights how SC with digital technology (i.e. in the AI, IoT and big data context) can be used to create collective knowledge flow efficiently. First, the findings of this study shed light on the OI dynamic model. It reveals important archetypes of new sub-clustering creation, namely, a system that underpins the holistic process of innovation by categorization in amongst the participating value network (Aguilar-Gallegos et al., 2015). In innovation studies, scholars have particularly paid attention to a cluster’s evolution model. In the process of innovation, the “open innovation dynamic model” suggested by this study illustrates sub-clustering that happens in value networks by taking the benefits of SC. Eventually, the evolution or development of sub-clusters can bring in a new system, namely, an OI system. Second, the findings of this study contribute to the understanding of the role of digital technologies in promoting knowledge flow. The usage and deployment of digital technologies in SC may enormously and positively influence innovative activities for participants. Furthermore, the rising of digital economy, in the so-called platform business, may occur depending on advanced technologies and OI. In doing so, the findings can further tow innovation research through juxtaposition between SC and innovation research (Mehra et al., 2021).

This paper shows that the function of an SC not only improves the quality of life but also acts as an engine of new industry through an open collective innovation setting using dynamic and ecological models.

The purpose of this paper is to analyse social capital (SC) development oriented to innovation. The relationship between high-performance work systems (HPWSs) and total quality management (TQM) philosophy is considered in this paper as an enabling factor that allows firms to accumulate SC oriented to develop radical and incremental innovation capabilities (IIC).

This paper establishes hypotheses and a model based on partial and total mediating effects of SC to develop innovation capabilities, which are focused on previous unexplored connections between HPWS and TQM and their effects on SC. The model and hypotheses are statistically tested through a partial least squares approach to structural equations models in a multi-industry sample of Spanish companies.

The study results show a system of specific human resource practices connected to SC development. Moreover, SC is found to be a mediating factor in the relationship between TQM and IIC, although the effect is not significant when radical innovation capabilities (RIC) are considered in the model. Finally, it is shown that HPWS partially mediates the relationship between TQM and SC.

This paper mainly contributes to the study of organizational context enablers for intellectual capital (IC) development from a knowledge-based view, especially when firms are seeking to build or improve innovation capabilities. As a managerial approach, HPWSs and TQM are shown as powerful tools to establish prolific contexts for SC development, especially when TQM is rightly supported by a HPWS.

This is a quantitative study that analyses, for the first time, predictive relationships between popular tools such as TQM and HPWSs to create an organizational context for SC development, considering a multi-industry sample of firms. Important implications are also drawn to help managers to create IC assets related to social interaction and network relationships.