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The aim of this study is to develop a framework for the implementation of a Supplier Kanban System.

The research was conducted within a factory focusing on the warehousing and supplier-related operations using an action research methodology.

The study period spanning over six years was aimed to reduce the inventory and the manpower required to manage this inventory. This initiative led to a substantial average savings of more than 500,000 Malaysian ringgit annually.

The focus of the study is on a framework for implementing a Supplier Kanban System in a small or medium-sized company within the automotive industry.

This framework is designed to be self-sufficient such that the members of the organisation can use it without the help of external experts or consultants.

Reduction in inventory stored in the warehouse, the amount of redundant work carried out by the employees and other non-monetary improvements which are difficult to monetise resulted in a much better work environment and happier employees.

The change in the paradigm of the manufacturing value chain affects the Tier 1 and 2 suppliers in Malaysia. The lines and value chains posing challenges to the suppliers have brought the idea of the Supplier Kanban System. The Supplier Kanban System adopted the action research cycles and continuous learning cycles, and this process was documented and developed as the Framework for the Implementation of a Supplier Kanban System.

Firms use design capability across the globe to compete and increase sales, e.g. Apple. However, the payoff from design know-how has been overlooked thus far. Academic research lags in this space despite the intersection of sales, technology and design in practice. This paper provides researchers and managers with implications of the interplay between design capability and technological market conditions to enhance a firm's sales.

Firms' capability design, and sales impact have been studied in this paper across different technological market conditions. Primary technological conditions of the industry under which firms operate are captured, which are technological intensity (TI), technological competitive intensity (TCI) and technological maturity (TM). Their interplay has been studied using panel data analysis, examining fixed and random effects.

Design is an important, interesting and non-imitable capacity that yields positive firm execution results. It provides an urgent differentiator and improves deal development. This study found that all four hypotheses are generally supported. The main finding is that, provided underlying technology is good, design significantly improves sales, but design alone cannot substitute for poor technology.

The results of this study link the three technological environment conditions, namely, TI, TCI and TM with sales growth. The authors find that design can and does add to superior performance, provided technological excellence exists prior. But, in the absence of good technology, design alone will hinder performance.

This paper examines the effect of firm design capability on sales growth. The paper finds a positive moderating effect of TCI and TM but a negative moderating effect of TI. The researchers believe these aspects of the design have not been studied before.

This study aims to examine the causes of small and medium-sized enterprises (SMEs) disinclination towards subcontracting in public sector markets. Previous studies have revealed that UK SMEs are reluctant to do business with the public sector through the subcontracting route, but the reasons for this lack of enthusiasm have not been widely researched.

Drawing on semi-structured interviews with SMEs competing for public contracts in North West England, a qualitative study was performed, from which several themes emerged.

The findings were synthesised into a framework underpinned by attribution theory, to portray situationally and dispositionally caused factors that were used to interpret SMEs’ behaviour.

The findings can guide policy development and government interventions in developed and developing countries, aimed at using public procurement as a policy tool to develop the small business sector.

This paper contributes in a unique way to an emerging discourse on how subcontracting can facilitate the access of SMEs to government procurement spending. It adds to knowledge regarding the explanatory power of attribution theory – from its base in social psychology.

The authors have attempted to understand how big data and predictive analytics (BDPA) can help retain employees in the organization.

This study is grounded in the positivism philosophy. The authors have used a resource-based view (RBV) to develop their research hypotheses. The authors tested their research hypotheses using primary data gathered using a single-informant questionnaire. The authors obtained 254 usable responses. The authors performed the assumptions test, performed confirmatory factor analysis (CFA) to test the validity of the proposed theoretical model, and further tested their research hypotheses using hierarchical regression analysis.

The statistical result suggests that the various human resource management strategies play a significant role in improving retention under the mediating effect of the BDPA.

The authors have grounded their study in the positivism philosophy. Moreover, the authors tested their hypotheses using single-informant cross-sectional data. Hence, the authors cannot ignore the effects of the common method bias on their research findings. Moreover, the research findings are based on a particular setting. Thus, the authors caution the readers that their findings must be examined in the light of their study limitations.

The study provided empirical findings based on survey data. Hence, the authors provide numerous guidelines to the practitioners that how the organization can invest in creating BDPA that helps analyze complex data to extract meaningful and relevant information. This information related to employee turnaround may guide top management to reduce the dissatisfaction level among the employees working in high-stress environments resulting from a high degree of uncertainty.

The study helps understand the complex factors that affect the morale of the employee. In the high-paced environment, the employees are often exposed to various negative forces that affect their morale which further affect their productivity. Due to lack of awareness and adequate information, most of the employees and their issues are not dealt with effectively and efficiently by their line managers. Thus, the BDPA can help tackle the most complex problem of society in a significant way.

This study offers some useful contributions to the literature which attempts to unfold the complex nexus between human resource management, information management and strategy. The study contributes to the BDPA literature and how it helps in the retention of employees is one of the areas which still remains elusive to the academic community. Moreover, the managers are still skeptical about the application of BDPA in understanding human-related issues due to a lack of understanding of how and to what extent the employee-related information can be stored and processed. This study’s findings further open the new avenues of research that need to be tackled.

This research develops a theoretical framework to understand the role of big data analytics capability (BDAC) in enhancing supply chain sustainability and examines the moderating effect of green supply chain management (GSCM) practices on this relationship.

Guided by the dynamic capability view (DCV), we formulated a theoretical model and research hypotheses. We used partial least square-based structural equation modeling (PLS-SEM) to analyze data collected from 159 survey responses from Bangladeshi ready-made garments (RMG).

The statistical analysis revealed that BDAC positively impacts all three dimensions of supply chain sustainability: economic, social and environmental. Additionally, GSCM practices significantly moderate the relationship between BDAC and supply chain sustainability.

This study makes unique contributions to the operations and supply chain management literature by providing empirical evidence and theoretical insights that extend beyond the focus on single sustainability dimensions. The findings offer valuable guidelines for policymakers and managers to enhance supply chain sustainability through BDAC and GSCM practices.

This study advances the current understanding of supply chain sustainability by integrating BDAC with GSCM practices. It is among the first to empirically investigate the combined effects of BDAC on the three dimensions of sustainability – economic, social and environmental – while also exploring the moderating role of GSCM practices. By employing the DCV, this research offers a robust theoretical framework highlighting the dynamic interplay between technological and environmental capabilities in achieving sustainable supply chain performance.

This study aims to investigate the influence of the interrelationship between the deployment of Industry 4.0 (I4.0) technologies and the application of lean production (LP) practices on the degree of organizational sustainability performance (SP) enhancement of the Bangladeshi ready-made garment (RMG) sector.

Previously, researchers have applied the resource-based view (RBV) or dynamic capability view (DCV) to describe the interaction of resources and capacities (technologies, management practices, SP) to analyze their effectiveness. However, in light of several contemporary academic discussions, this study contends that these organizational views are inappropriate for explicating SP. Hence, as the foundation of this study’s theoretical framework, the authors used the practice-based view (PBV), which is recommended as a useful window to evaluate the function of practices that are common and simple to emulate in execution. To test the theoretical framework and research hypothesis, this study used partial least square (PLS) analysis. For that, the authors carried out a systematic survey to collect data from 80 Bangladeshi RMG factories.

The results of this research imply that LP is a crucial factor in enhancing organizational SP. Moreover, the results also indicate that the adoption of I4.0 technologies along with LP can assist in delivering the lean objectives more efficiently and, therefore, the combined application of LP practices and I4.0 technologies play a significant role in enhancing organizational SP.

Though the present literature indicates the probable significant association between LP and SP or I4.0 technologies and SP, no study, with the best of the authors’ knowledge, has empirically examined the combined impacts of correlation between LP and I4.0 on SP. This is also a unique study to apply the PBV theory to explain the organizational SP through the combination of common resources and technologies.

The lack of a direct link between business value and sustainability is a critical roadblock to truly embedding sustainability in business strategies. Before launching the sustainability journey, every organisation should answer the question: “What value would this strategy offer our organisation?” Conversely, when organisations are opportunistic toward quick profits, the negative consequences of one domain spill over to another. The desire to produce more may result in overproduction, overconsumption or environmental pollution.

To give a complete analysis of sustainable capabilities, this study combines current theoretical understanding from past literature, followed by exploratory interviews and a thorough case study. The case study ventured into uncharted territories, unveiling an exciting new sphere of value catalysed by the mechanisms of sustainable co-creation. Additionally, it exposed thought-provoking motives driving supply chain actors’ unwavering commitment to ethical decision-making, even amidst towering challenges.

Our empirical lens reveals the hidden mechanics of resource sharing and the genesis of newfound value, illuminating previously obscure corners of the sustainability field. Moreover, it sheds light on retailers striving to cultivate green retail supply chains. It delivers an actionable framework that bolsters business sustainability and fuels competitive edge, which is vital in the rapidly evolving landscapes of emerging economies.

This study offers insights into the sustainable value-creation mechanism in ALPHA, a Malaysian retailer, uncovering how supply chain actors’ business activities generate economic, social and environmental performance.

The purpose of this paper is to analyse the readiness factors for Industry 4.0 deployment in small and medium-sized enterprises (SMEs) using complex proportionality assessment (COPRAS) methodology.

Industry 4.0 is vital for ensuring manufacturing competitiveness of SMEs. In order to facilitate Industry 4.0 adoption in SMEs, readiness factors need to be analysed. In this viewpoint, this article presents the analysis of readiness factors using multi-criteria decision-making (MCDM) tool COPRAS.

The priority of ranking of 15 readiness factors is obtained. The prioritized readiness factors would enable the smooth adoption of Industry 4.0 in SMEs.

The study has been done based on inputs from industry practitioners and hence the results have practical relevance.

The analysis of readiness factors for Industry 4.0 in SMEs using COPRAS is the original contribution of authors.