Statistical analysis of a portable parallel non-linear programming algorithm

It is well known that the availability of cost-effective and powerful parallel computers has enhanced the ability of the operations research community to solve laborious computational problems. But many researchers argue that the lack of portability of parallel algorithms is a major drawback to utilizing parallel computers. This paper studies the performance of a portable parallel unconstrained non-gradient optimization algorithm, when executed in various shared-memory multiprocessor systems, compared with its non-portable code. Analysis of covariance is used to analyse how the algorithm's performance is affected by several factors of interest. The results yield more insights into the parallel computing.     

Frugal innovation for supply chain sustainability in SMEs: multi-method research design

Abstract

In this study, we attempt to establish the missing links between supply chain sustainability and frugal innovation. Our study motivations stem from two facets of the emerging markets: first, the institutional barriers and, second, the resource constraints. We argue that there is a synergy in the concepts of frugal innovation and sustainability in supply chains and there is a need to further explore this synergy. Furthermore, we claim that even in the wake of many success stories in the frugal innovative supply chain management practices from emerging markets such as India, there are very few, if any, attempts made to understand the implications of a sustainability oriented frugal innovations in the particular context. To address this gap, we develop a model to establish the linkage between sustainable supply chains and frugal innovations. Our proposed conceptual framework depicts the hierarchy and interlinks of the identified enablers in developing sustainability oriented frugal innovative capabilities in supply chains. Furthermore, we have empirically validated our theoretical framework using survey data. We observed that most of the interpretive links are supported. These findings extend the understanding of frugal innovation for supply chain sustainability using multi-method research design, while also providing theoretically guidance to managers in the development of frugal innovation capability to achieve sustainability in supply chain in resource constrained environment.     

Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory,Resource‐Based View and Big Data Culture

The importance of big data and predictive analytics has been at the forefront of research for operations and manufacturing management. The literature has reported the influence of big data and predictive analytics for improved supply chain and operational performance, but there has been a paucity of literature regarding the role of external institutional pressures on the resources of the organization to build big data capability. To address this gap, this paper draws on the resource‐based view of the firm, institutional theory and organizational culture to develop and test a model that describes the importance of resources for building capabilities, skills and big data culture and subsequently improving cost and operational performance. We test our research hypotheses using 195 surveys, gathered using a pre‐tested questionnaire. Our contribution lies in providing insights regarding the role of external pressures on the selection of resources under the moderating effect of big data culture and their utilization for capability building, and how this capability affects cost and operational performance.     

The role of ethnic relations and education systems in migration from Southeast Asia to Australia

"After a brief discussion of the geographical, cultural, and historical characteristics of Southeast Asia [and Hong Kong], a review is provided of the evolution of Australian immigration policy which, in our view, is a strong pull factor. This is followed by stock and flow analyses of Asian-born residents in Australia. The motivations for emigration in countries which exhibit substantial emigration rates are considered next and the article ends with the conclusion that demand factors and social networks play a decisive role in the decision to emigrate." Factors affecting migration significantly include political conditions and ethnic relations in countries of origin, and educational and career opportunities in the country of destination.     

Improving supply chain performance through management capabilities

This editorial piece introduces the novelty of the special issue call for papers and lists the various topics suggested in the call for papers. The summary of accepted review papers is presented in terms of novelty, findings and limitations. The review papers are classified as per supply chain management capability model, and finally, the editorial piece opens up further research directions to academics and practitioners.     

Implementation of just-in-time in a small company: A case study

This paper deals with the implementation of JIT in a small company in Taiwan that produces different kinds of automobile lamps such as rear combination lamps and front turn signal lamps. JIT systems have tremendous effects on all operations of a firm, including design, accounting, finance, marketing, distribution, etc., and thus are of interest to all levels of a firm's management. Realizing the success of JIT, large-scale manufacturing companies all over the world have implemented JIT in their production systems with the objective of improving their competitiveness. Nevertheless, small and medium enterprises SMEs play a major role in the national economy. However, JIT has not received serious attention from SMEs. Realising the importance of improving the performance of SMEs, a case study is presented to motivate practitioners to implement JIT in their SMEs. In addition, future research directions in the areas of implementing JIT in SMEs are presented.     

The relationship between supply chain manager capabilities and performance: empirical evidence

This study seeks to answer the question how supply chain managers’ capabilities impact individual and firm performance. Organisations have begun to recognise the importance of their supply chain and the necessity for qualified supply chain managers. Therefore, there is a need for further research on the impact of these capabilities on individual and firm performance. Sustained performance of a firm depends on dynamic capabilities and it allows firms to align and adapt strategies according to the volatile external environment. Using dynamic capabilities theory, the supply chain manager capabilities model was developed as a way for supply chain managers to effectively use their skills and past experiences to improve their own and firm’s performance. Primary data was collected through a survey distributed to supply chain management professionals. The results strongly support the relationship between technology and soft skills with supply chain manager capabilities. Interestingly, our study identifies sequential relationship amongst the three constructs such as capabilities, individual and firm performance. Capabilities are related with individual performance whereas individual performance is related with the firm performance. However, our findings revealed that there is no direct relationship between supply chain manager capabilities and firm performance.     

Determinants of RFID adoption intention by SMEs: an empirical investigation

Radio frequency identification (RFID) technology has been considered as one of the 10 technologies that will transform firm across industries. However, the adoption and use of the technology has been slower than predicted, mainly because of technological, organisation and environment factors related to RFID. This study develops a conceptual model that explores the role that technological, organisational, environmental and managerial characteristics of small and mid-sized enterprises (SMEs) play in their intention to adopt RFID technology. To test the model, a web-based survey was administered to 453 SME managers from the USA, the UK, Australia and India. Logistic hierarchical regression is used to test the proposed model. Implications for RFID technology research, theory and practice are discussed.