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The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

We suggest that, in some specific settings, individuals may distinguish and be sensitive not only to the distributive, procedural, social, and informational dimensions of justice, but also subdivide the distributive justice dimension into two facets‐reward and task distributive justice. Results of three studies with Portuguese public university teachers reveal that a five‐factor model of justice (distribution of tasks, distribution of rewards, procedural, interpersonal, informational) is adequate, although factor analyses are not categorical in distinguishing interpersonal and informational justice. Results also show that individuals who work with high autonomy and outside close supervisory control in performing their jobs may be very sensitive to the way they feel treated by their superiors, even accepting as normal that the superiors make decisions with no participation, a finding that may be due to the feminine, affiliative, and high power distance cultural context.

With the continuous changing nature of work and increasing demands on business organisations to remain competitive and to continually innovate, while controlling ever increasing real estate costs, the role of the workplace remains the battle ground between an organisation's cost savings strategy, its efforts to retain the status quo, serve as a facilitator of change and stand as a visual statement of the brand. While organisations continue to build facilities that range from newer adaptations of their previous model to what some may deem radical departures with the goal of creating new ways of working, the selection of what course of planning direction to take is still often left to a methodology that is removed from the long‐term strategic objectives of the organisation. Even organisations wishing to use the workplace as an enabler of transformation rely on the imagery of more open and collaborative work areas as the basis for change. Rarely is a connection made to the business strategy and business model of the organisation. Recognising that no matter what the organisational model, work processes are becoming more and more collaborative in nature, businesses appear to be confusing the design of collaborative workspaces with connections to a business strategy. This has created a vacuum in the perception of the role of the workplace within the business organisation and on the way in which workplace‐planning concepts are developed by design consultants. This paper attempts to identify the underlying issues that differentiate workplace design from workplace design strategies and to present a new way of developing these strategies that will change the perceived role of the workplace within the organisation.

Stochastic simulation is a popular tool among practitioners and researchers alike for quantitative analysis of systems. Recent advancement in research on formulating production systems improvement problems into multi-objective optimizations has provided the possibility to predict the optimal trade-offs between improvement costs and system performance, before making the final decision for implementation. However, the fact that stochastic simulations rely on running a large number of replications to cope with the randomness and obtain some accurate statistical estimates of the system outputs, has posed a serious issue for using this kind of multi-objective optimization in practice, especially with complex models. Therefore, the purpose of this study is to investigate the performance enhancements of a reference point based evolutionary multi-objective optimization algorithm in practical production systems improvement problems, when combined with various dynamic re-sampling mechanisms.

Many algorithms consider the preferences of decision makers to converge to optimal trade-off solutions faster. There also exist advanced dynamic resampling procedures to avoid wasting a multitude of simulation replications to non-optimal solutions. However, very few attempts have been made to study the advantages of combining these two approaches to further enhance the performance of computationally expensive optimizations for complex production systems. Therefore, this paper proposes some combinations of preference-based guided search with dynamic resampling mechanisms into an evolutionary multi-objective optimization algorithm to lower both the computational cost in re-sampling and the total number of simulation evaluations.

This paper shows the performance enhancements of the reference-point based algorithm, R-NSGA-II, when augmented with three different dynamic resampling mechanisms with increasing degrees of statistical sophistication, namely, time-based, distance-rank and optimal computing buffer allocation, when applied to two real-world production system improvement studies. The results have shown that the more stochasticity that the simulation models exert, the more the statistically advanced dynamic resampling mechanisms could significantly enhance the performance of the optimization process.

Contributions of this paper include combining decision makers’ preferences and dynamic resampling procedures; performance evaluations on two real-world production system improvement studies and illustrating statistically advanced dynamic resampling mechanism is needed for noisy models.

The increasing accumulation of synthetic plastic waste in oceans and landfills, along with the depletion of non-renewable fossil-based resources, has sparked environmental concerns and prompted the search for environmentally friendly alternatives. Biodegradable plastics derived from lignocellulosic materials are emerging as substitutes for synthetic plastics, offering significant potential to reduce landfill stress and minimise environmental impacts. This study highlights a sustainable and cost-effective solution by utilising agricultural residues and invasive plant materials as carbon substrates for the production of biopolymers, particularly polyhydroxybutyrate (PHB), through microbiological processes. Locally sourced residual materials were preferred to reduce transportation costs and ensure accessibility. The selection of suitable residue streams was based on various criteria, including strength properties, cellulose content, low ash and lignin content, affordability, non-toxicity, biocompatibility, shelf-life, mechanical and physical properties, short maturation period, antibacterial properties and compatibility with global food security. Life cycle assessments confirm that PHB dramatically lowers CO₂ emissions compared to traditional plastics, while the growing use of lignocellulosic biomass in biopolymeric applications offers renewable and readily available resources. Governments worldwide are increasingly inclined to develop comprehensive bioeconomy policies and specialised bioplastics initiatives, driven by customer acceptability and the rising demand for environmentally friendly solutions. The implications of climate change, price volatility in fossil materials, and the imperative to reduce dependence on fossil resources further contribute to the desirability of biopolymers. The study involves fermentation, turbidity measurements, extraction and purification of PHB, and the manufacturing and testing of composite biopolymers using various physical, mechanical and chemical tests.

This paper aims to give a brief review on behavioral economics and behavioral finance and discusses some of the previous research on agents' utility functions, applicable risk measures, diversification strategies and portfolio optimization.

The authors also cover related disciplines such as trading rules, contagion and various econometric aspects.

While scholars could first develop theoretical models in behavioral economics and behavioral finance, they subsequently may develop corresponding statistical and econometric models, this finally includes simulation studies to examine whether the estimators or statistics have good power and size. This all helps us to better understand financial and economic decision-making from a descriptive standpoint.

The research paper is original.

In this chapter, we explore the importance of morality in groups. We draw from decades of research from multiple perspectives, including psychology, neuroscience, philosophy, and organizational science, to illustrate the range of ways that morality influences social attitudes and group behavior. After synthesizing the literature, we identify promising directions for business ethics scholars to pursue. We specifically call for greater research on morality at the meso, or group, level of analysis and encourage studies examining the complex relationship between moral emotions and the social environment. We ultimately hope that this work will provide new insights for managing moral behavior in groups and society.

We propose that off-the-job embeddedness (OTJE) be reconceptualized as a separate and distinct, albeit related, construct from job embeddedness. We conceptualize OTJE as the totality of outside-work forces which keep an individual bound to his/her current geographical area and argue that this construct includes important factors which do not fall under the umbrella of “community embeddedness.” Moreover, we propose that these outside-work forces may embed individuals in their jobs either directly or indirectly (through the perceived or expressed preferences of spouses, children, and extended family). This paper identifies the key components of OJTE, addresses the measurement of OTJE, explains the relationships between job embeddedness and OTJE (and their respective components), highlights how OTJE can either amplify or counteract the effects of job embeddedness, and illustrates the direct and indirect effects of OTJE on both work-related and personal outcomes.

The change in Malaysian financial environment can be attributed to digitalization as banks are racing to digital maturity by 2020. Historically in Malaysia, the use of credit card was a Fintech development in the 1950s to help Malaysians minimize the burden in carrying cash all the time. The aim of financial technology in the 1990s was to encourage bank customers to use the online banking system instead of only automated teller machine. Fintech services are swiftly interrupting banks' services globally. Similarly, Malaysia's banking sector is experiencing the interruption since as more Fintech organizations are innovating new Fintech service to improve convenience for clienteles. Numerous regulatory agencies in Malaysia and the Malaysian government have set up several initiatives to encourage and provide a vigorous growth in the Malaysian Fintech and digital asset regulatory environment. Expectation Confirmation Model, Technology Acceptance Model, and Cognitive Model are viewed as the most popular frameworks that discuss the continuous intention to use information system. The combination of these three models has led to the creation of Technology Continuance Theory (TCT). TCT postulates that five prominent constructs or antecedents are depicted as key indicators in explaining the users' intentions for continuous use: (1) confirmation, (2) perceived usefulness, (3) perceived ease of use, (4) satisfaction, and (5) attitude. Furthermore, TCT adds to the argument on the consumers' continuance adoptions by assimilating satisfaction and attitude into a single construct.

This study contributes to the management accounting (MA) literature by exploring the effect of managers’ perception of justice in the budgeting process (as a subsystem of MA) on their satisfaction and motivation to achieve organizational objectives. Drawing on the Habermasian concept of deliberative democracy, which underscores the importance of gaining legitimacy to achieve desirable outcomes, our analysis focuses on seven constructs related to situational and intrinsic participation, procedural and distributive justice, and attitude on two outcome constructs: satisfaction and motivation. We surveyed managers with an accounting background who are directly involved in the budgeting process and analyzed our data using partial least squares-based path analysis–structural equation modeling (PLS-SEM). The results of this study indicate that both dimensions of justice – distributive and procedural – are positively associated with participation, and in turn, positively impact satisfaction and motivation. Contrary to expectations, managers’ influence on the final budget does not seem to be as important as we expected. Budgeting is an important managerial function that involves setting targets based on an organization’s strategy and allocating resources for its execution. Such a fundamental process requires managers’ participation at various levels to ensure that the process is fair and just. Our study’s findings imply that justice perceptions are an essential fabric of organizational processes that drive human behavior. Specifically, our findings reveal that perception of justice influences participation and satisfaction and motivation.