The objective of this study is to investigate the perceptions of practitioners/experts about the prioritisation of healthcare performance measures and their relationship with lean supply chain management (LSCM) practices. The study will also prioritise the drivers and resources required to implement LSCM in a healthcare operations context. The prioritisation is based on the relative weights of various initiatives on a range of performance measures. Twenty-four LSCM initiatives were identified using a comprehensive literature review. Q-sort method was used to divide those initiatives into four categories. Fuzzy AHP was then used to prioritise the four categories based on relative weight of importance of each category on three different performance dimensions. The result shows that continuous improvement is a dominating LSCM initiative in increasing operational and financial performance, while enterprise alignment/integration is a dominating initiative in enhancing organisational image and operational performance. However, lack of homogeneity among LSCM initiatives suggests that there is a need for careful consideration when implementing them in healthcare organisations. Furthermore, customer needs and the influence of competitor’s actions are the most important drivers to encourage hospitals to adopt an LSCM strategy. This is one of the first studies to examine the prioritisation and ranking of LSCM constructs on performance within the context of the healthcare industry.

Organizations in both developed and developing economies are paying great attention to the Industry 4.0 revolution and associated uses of technologies due to its potential benefits to the manufacturing industry. However, there are a limited number of empirical studies due to its early stage of adoption around the world, especially regarding the key technological factors that are necessary. This article addresses this research gap by identifying the factors that enable successful Industry 4.0 technologies adoption in an emerging economy country, grouping them, and ranking the groups based on priorities for adoption. The study adopts a mixed-method research methodology. Q-sort technique and analytic hierarchy process, respectively, were used to group enabling factors and prioritize the groups for Industry 4.0 technologies adoption. Thereafter, semistructured interviews of key stakeholders in the manufacturing sector in Thailand were carried out to validate and support findings from the quantitative analysis. Five industry experts from automotive and electronic parts/components manufacturers were interviewed. The results show that human capital is the most important readiness dimension for Industry 4.0 technologies implementation. Interoperability and data handling were found to be the next in importance. On the contrary, hardware and technology systems, such as data security and technological infrastructure, were identified as the least important of the technology readiness dimensions. These findings provide a different perspective to extant studies that posited that technology-based factors as the most important for Industry 4.0 success.

Besides basic competitive priority (quality, cost, delivery and flexibility), innovation has been recognised as one of the primary sources of competitive advantage for manufacturing industry to compete in global markets. This paper, therefore, presents an empirical study on the relationship between firm strategy, resources and innovation performance. Drawing from the grounded theory of resource-based view, and using 218 responses from Thai production/operation managers, this paper shows that differentiation strategy had a positive relationship with both internal capital or internal resources (represented by knowledge and creativity management) and networks capital or external resources (represented by customer and supplier network). The findings also revealed that only internal capital had a positive effect on innovation performance. Finally, contributions to industry practitioner, academia and national agency in supporting and promoting innovation are presented.

This study used a blended view of corporate entrepreneurship and operations core capability as enablers of innovation. Survey data collected from automotive OEM suppliers in five emerging countries in South-east Asia are used to examine the relationships among corporate entrepreneurship, operations core competency and innovation. We measured corporate entrepreneurship by its corporate culture and leadership, whereas operations core competency was operationalised by a firm’s knowledge management, technology management and process management. Finally, innovation is measured by process innovation and product innovation. Our analyses show that in the context of Asia, corporate entrepreneurship affects a firm’s operations core competency, which in turn affects innovation. Our findings provide valuable insights about the enablers of a firm’s operations core competency and innovation.

Due to increasing emphasis on sustainable practices, many organisations have attempted to leverage their supply chain performance towards balancing triple bottom line dimensions (economic, environmental and social perspectives). This paper, therefore, determines the priorities of sustainable supply chain management focusing on eco-design. Interpretive structural modelling (ISM) and Matriced’ Impacts Croise’s Multiplication Appliquée a UN Classement (MIMAC) are used to identify the hierarchical structure of the relationships among eco-design dimensions, and to analyse characteristics power of each dimension on supporting eco-design practices. The relationships and characteristics power of each dimension are used to determine indicators that are effective in enhancement of eco-design practice, evaluated through sustainable supply chain performance. Results indicate that product deployment is an important approach for improving eco-design practice towards sustainable supply chain management. This emphasises the purpose and impact of eco-design on sequential supply chain activities at deployment phase. Further research is required to make an overall assessment of eco-design practices across range of manufacturing industries, given the current research is based on inputs from a limited number of experts of selected organisations.

This study reviewed the literature and interviewed managers to discover the dimensions of a new construct called the entrepreneurial supply chain management competence of small and medium-sized enterprises. We measured entrepreneurial SCM competence in terms of five first-order constructs: innovation orientation, proactiveness orientation, risk-taking characteristics, relational capital, and coordination capability. We further proposed that this competence affects SMEs’ performance directly and indirectly via the firm's SCM strategies. A set of survey data collected from automotive OEM suppliers in five ASEAN countries was used to test the research model. Results show that the five constructs are important dimensions of entrepreneurial SCM competence, and that they affect performance indirectly. Our findings provide valuable insights about the enablers of an SME's SCM practices and their effects on firm performance.