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With increasing choice from a range of programs, improvement project selection within broader supply chain context and resource constraints has become a major research challenge. The purpose of this paper is to investigate the different criteria for selecting Six-Sigma (SS) projects based on previous studies. The study is supported by two grounded theories: resource-based view and institutional norms. The criteria include: first, business drivers for improvement and the common performance metrics deployed; second, the organization’s stakeholders needs; and third, process owner’s needs.

To determine the relative importance of influencing factors, opinions were collected from 30 experienced practitioners including SS champions/master black-belts, company directors, consultants, and process owners through a series of interviews in small, medium, and large organizations including multi-national organizations. The evaluation of criteria is based on analytical hierarchy process.

The results show that impact on customer, financial impacts, and impact on operational goals are the most significant factors in selecting SS improvement project.

This study is a first attempt to determine the relative weight among SS project selection criteria, which help the practitioner to allocate their limited resources in implementing SS project.

This paper explores the role of Internet of things (IoT) enabling factors in adopting digital supply chain.

Analytical hierarchy process (AHP) was used to rank performance measures and prioritise the enabling factors. Semi-structured interviews were conducted to validate and support key research findings from the AHP analysis.

The results show that level of customer demand is the most important indicator in adopting IoT while the level of product/process flexibility is the least important. System integration and IoT infrastructure are the top two enabling factors in increasing the level of process stability, supply chain connectivity, and product/process flexibility, respectively. Furthermore, the study suggests that the enabling factors for IoT adoption are directly connected with organisational resources/technological capabilities that support the resource-based view theory. This research identified interdependencies between IoT enabling factors and key performance measures for IoT adoption success in managing the digital supply chain.

Supply chain managers can use the empirical findings of this study to prioritise IoT adoption, based on the relative importance of enabling factors and performance measures. The research findings are focused on broader supply chain practices of large companies rather than a specific industry and SMEs. Hence, any industry-specific adoption factors and SMEs were not evident from this study.

This research study empirically established priorities of enabling factors for IoT adoption, along with inter-dependencies among enabling factors as a basis for developing guidelines for IoT adoption.

The purpose of this paper is to, using a quality management assessment framework (QMAF), provide a comparative analysis of quality management capabilities of organisations categorised by size and groups, based on the Australian and New Zealand Standard Industrial Classification (ANZSIC) code.

A questionnaire-based survey was used for data collection. Statistical data analysis, including descriptive statistics, multivariate and univariate analysis of variance and Hsu’s multiple comparisons with/to the best post-hoc test results, was carried out to identify significant differences and similarities in total quality management capabilities between organisations based on the QMAF model.

Significant differences in quality management capabilities were identified between large organisations and SMEs while no significant differences were found to exist between medium- and small-size organisations. Most of the QMAF-based capabilities do not seem to show significant differences between the four groups of ANZSIC code of firms, except for partnering focus and business outcomes.

The research was limited by the number of returned responses of survey questionnaire from manufacturing organisations in the Greater Western Sydney region. This research provides practitioners with practical guidelines for improving quality management capabilities and can become the basis for comparative analysis in other regions of Australia, and globally. In addition, the research findings can be used by government and quality associations to develop appropriate strategies and policies for supporting the development of quality enhancing programmes in SMEs.

The comparative analysis of quality management capabilities by organisational size and industry type advances the previous work on optimum pathways of achieving business outcomes using the QMAF model. In addition, the research has mapped out differences in quality management capabilities, based on a combined scope of size and industry type, especially in the Greater Western Sydney region where a large number of SMEs are located.

Due to the importance of efficiency and responsiveness measures rather than just efficiency measures, this research recognizes both measures when considering overall performance of warehouse operations. Thus, the purpose of this paper is to prioritize overall performance measures associated with warehouse operations in manufacturing, third-party logistics service provider and retail industry supply chains.

The study uses an integrated approach that involves the Q-sort method to group measures into four categories. Fuzzy analytical hierarchy process was then used to prioritize individual performance measures within each category and integer liner programming model was used to validate prioritized categories, using the judgment of multiple decision makers across three industries.

The result shows that the financial category is a dominating performance category in managing warehouse operations across all three industries selected. Within the financial category, cost of insurance accounted for 25 percent of total weight of the category, and is considered to be a powerful measure. The financial category is verified by multiple decision makers across three industries, as the most important performance category.

As part of adopting the proposed methodology in practice, it needs to be guided by overall methodology appropriate for industry-specific contexts.

Key novel aspects of this study are to categorize warehouse operations measures and analyze their perspectives in different industries, understand dominant categories of warehouse operations measures in the contemporary supply chain and finally to explore to what extent current practices lead to achieving efficiency and responsiveness in the selected industries.

The purpose of this paper is to propose a holistic approach for supplier evaluation and purchasing order allocation among the ranked suppliers who meet acceptable levels of economic, environmental and social measures.

A mixed research method of case study and analytical approach is adopted in this research. A fuzzy analytical hierarchical process (FAHP) is applied for ranking of suppliers. Supplier ranks are validated using judgements from multiple decision makers. Purchasing order allocation among the ranked suppliers is determined using cost minimization subject to multiple criteria of economic, environmental and social conditions. A cement manufacturing case example demonstrates and validates the proposed approach.

The research shows that both economic and environmental considerations are significant when suppliers are evaluated for sustainable procurement within the best practice of supply management process. Ranking of suppliers, based on experts’ opinions, indicates varying degrees of importance for each criterion. Adoption of sustainable procurement criteria for evaluating supplier in a cement manufacturing organization is explained by three organizational theories including resource-based, institutional and dynamic capabilities theories. Preferred suppliers from FAHP method are confirmed by judgements from multiple decision-makers. The analysis reveals that purchasing order allocation is different when suppliers are evaluated based on their relative importance and overall ranking.

Currently, individual performance measures and decision-makers are selected from a limited set. The purchasing allocation among ranked suppliers, subjected to cost minimization, incorporates environmental objective of acceptable carbon dioxide emission and social perspective of health and safety of workers, and provides a new approach for dual supplier evaluation and purchasing allocation problem in cement industry. Adopting the proposed supplier evaluation and order allocation approach in practice needs to be guided by the operational principles and an overall methodology which is appropriate for the specific industry with sustainability objectives.

This research enables decision-makers to incorporate sustainability analysis in the supplier evaluation as the basis for best practice with an industry-friendly holistic approach. Using organizational theories, the research re-enforces the importance of not only the energy consumption and environmental management systems of environmental dimension as driving forces/factors from Institutional theory perspective, but also pollution controls and prevention as purchasing capabilities from resource-based theory perspective. The proposed approach is expected to motivate decision-makers to consider sustainable perspectives in supplier evaluation and order allocation processes in a global supply chain and can become a benchmarking tool.

Suppliers’ information on health and safety of their truck drivers are used in order allocation, thus emphasizing the importance of social dimension and encouraging better conditions and benchmarking for delivery drivers.

This paper extends the contribution to the literature by providing guidelines for managers to set strategies, benchmarks and policies within broader sustainable supply chain practices and demonstrates the applicability of the approach using a cement-manufacturing scenario in an emerging economy.

The purpose of this paper is to present a comparative study on the impact of manufacturing strategies and resources on innovation performance in two newly industrialised countries in the South East Asian region, Thailand and Vietnam.

A quantitative approach was employed. The survey data was drawn from 95 Thai and 44 Vietnamese middle or senior managers in manufacturing firms.

Three major findings were noted in this study. First, there were no significant differences between Thai and Vietnamese manufacturing firms with respect to manufacturing strategies, resources, and innovation performance. Second, differentiation strategy is shown to be the strongest predictors for both product and process innovation across both countries. Technology management, however, only shows a significant effect on both product and process innovation among Thai firms. The other three manufacturing strategies (leadership, people management, and R&D) did not show a significant relationship with any of product or process innovations. Finally, the results of the moderating regression analysis, using country as a dummy variable, confirm that the effect of technology on product innovation is significantly stronger among Thai firms than Vietnamese firms.

Small sample sizes of both countries are the major limitation of the study. Future studies can advance this research by incorporating a larger sample size as well as focusing on more innovative industries, such as electronics, automotive and food industries.

The results provide insights on the status of several key managerial practices among manufacturing firms in Thailand and Vietnam. The study highlights the lack of R&D intensity in manufacturing firms as well as its non‐significant impact on innovation performance.

This is the first empirical study to compare two newly industrialised countries in the South East Asian region in regards to manufacturing/operational practices, innovation performances, and differentiation strategy.

The primary objective of this research is to explore whether total quality management (TQM) firms execute various quality management practices significantly differently from non‐TQM firms in the Association of South East Asian Nations (ASEAN) automotive supply chain. The study also aims to analyze differences between different tiers of this supply chain and to examine the relationship between the implementation of quality management systems and adoption of TQM.

A total of 165 datasets collected from ASEAN automotive Original Equipment Manufacturers (OEMs) and their tier 1 and 2 suppliers in five ASEAN countries were tested by using cross‐tabulation analysis and ANOVA with post hoc test.

The results show that firms that have successfully implemented the concept of work standardization or process‐approach through quality management systems (QMS) certification have tended to pursue TQM as the subsequent stage in their quality journey. In addition, the study found that all seven TQM practices – leadership; strategy and planning; customer focus; information and analysis; people management; process management; and supplier involvement – were significantly higher in TQM firms than in non‐TQM firms. Finally, the study found that tier 3 suppliers were less likely to implement TQM practices compared with higher tiers (1 and 2), except in supplier involvement.

The study presents an insight into TQM constructs evolution in the ASEAN region, which has gained increased prominence and world impact as a result of international outsourcing. It therefore addresses a significant gap in the literature about how quality management is deployed in this important region of the world.

The purpose of this paper is to examine the extent to which lean management practices are adopted by manufacturing organizations in Thailand and their impact on firms' operational performance.

Using a survey questionnaire, data were collected against 13 lean practices from 187 middle and senior managers belonging to 187 Thai manufacturing firms. Using factor analysis these lean practices were then clustered into three higher level constructs namely just in time (JIT), waste minimization and flow management. The responding firms were categorized into small and medium enterprises (SMEs) and large enterprises (LEs) based on size and Thai‐owned, foreign‐owned and joint venture firms based on ownership. The multiple regression models were employed to investigate the effects of three lean constructs on operational performance in different categories of firms. The operational performance is measured by four parameters such as quick delivery compared to competitors, unit cost of products relative to competitors, overall productivity and customer satisfaction.

The results indicate that all three lean constructs are significantly related to operational performance. JIT has a higher level of significance in LEs compared with SMEs, whereas for waste minimization there is a higher level of significance for SMEs compared with LEs. Flow management has a much lower level of significance for both SMEs and LEs. With respect to ownership, JIT is highly significant to operational performance for all three ownership groups (Thai, foreign and joint venture). Foreign‐owned companies show a higher level of significance on operational performance for both waste management and flow management than Thai and joint venture companies.

The paper provides insights into the adoption of lean practices in an Asian context and using survey data as opposed to case studies, and provides further evidence that lean practices are significant in enhancing operational performance.

The purpose of this paper is to investigate the relationship between total quality management (TQM) practices and innovation performance in the Vietnamese industry context.

The method of confirmatory factor analysis was applied to refine TQM and innovation scales for empirical analysis in Vietnam. The structural equation modelling method was applied to test the theoretical models.

This study confirms the results of previous studies that considered TQM as a set of practices. It confirms that TQM – considered as a set of practices – has a positive impact on the firm's innovativeness. It discovers that not all TQM practices enhance firm innovativeness. Only leadership and people management, process and strategic management, and open organization showed a positive impact on the firm's innovation performance.

The sample was not random. Future research should select different random samples to allow for more generalization of the results. The study assessed the concept of “newness” with the company boundaries. Future research should measure “newness” within the boundaries of the specific industry. The unclear evidence found in this study on the impact of the firm's education and training policy on innovation needs to be further investigated.

The findings are useful for business managers in developing countries such as Vietnam, who want to enhance business performance through implementing TQM practices that support their firm's product and services innovation efforts.

The study has contributed to develop a measurement system of TQM practices and innovation performance that facilitates more quality management research in developing countries. It has contributed to clarifying the disputed relationship between TQM practices and the firm's innovativeness, and shows empirical evidence in Vietnam to confirm that the TQM practice set deployed by a firm has a positive impact on its innovation performance.

The purpose of this paper is to examine the direct influence of three types of operations management practices, namely total quality management (TQM), lean manufacturing (LEAN), and supply chain management (SCM) on operational performance.

Cluster analysis is used to classify data collected from Thai manufacturing firms into three business strategy clusters of cost leadership, differentiation, and focussed strategy. Next, multiple-regression analysis was used to test the relationships between operations management practices and performance in each of the three strategy clusters.

Results show that all three operations management practices were significantly associated with performance including the interaction of TQM and SCM. Also, the interaction of LEAN and SCM significantly affected performance for firms pursuing focussed business strategy.

Manufacturers in developing nations can use this result to deploy appropriate operations management practices to enhance their competitive edge.

This study explores the cross-functional alignment between strategies and practices, which have been transferred from developed to developing countries.