741 publications from this institution
In this paper we present a model based on the AHP model for site selection of industries in Iran.Lack of proper concentration of industries in Iran as well as emergence of inappropriate industrial places and townships, has invariably been one of the major difficulties with which all the entrepreneurs and various ministries have been confronted.This feature, in its turn, has been ensued by a series of difficulties and impediments which, among others, one may point out the inaccurate concentration of population, environmental pollution, unbalanced industrial development in various points in the country, as well as hampering of growth opportunities in other economic activities such as agriculture, service and etc.
This paper introduces a decision model and framework for subcontractor selection and team formation in the built environment based on the triple-bottom-line economic/business, social and environmental aspects of sustainability. The model and decision framework aid the decision maker in forming a construction project team that can most benefit the overall goal of sustainability and compatibility amongst the subcontractors (supply chain) from a number of trade industries. The model uses both the analytical hierarchy process (AHP) and the analytical network process (ANP) as its basis. Once the generic decision model is described, an example application is used to show its use and feasibility. The robustness of the solution is demonstrated using sensitivity analysis, allowing the decision maker to appreciate the complexities in this decision environment. This is one of the few formal modelling applications to sustainability in the built environment, an industry that has significant economic, social, and environmental influences.
Purpose Market uncertainties require organizations to consistently revisit their product portfolio. Theoretically the link between corporate strategy, supply chain and operations for Product Deletion (PD) decisions is lacking. The purpose of this study is to develop a decision support tool that enables managers to evaluate PD decisions across business, supply chain strategies and customer considerations; rationalizing product portfolio variety while realizing long-term organizational competitiveness. Design/methodology/approach This study applies Quality Function Deployment (QFD) to formalize PD decision-making across multiple functional strategy perspectives. Manufacturing, supply chain, finance and marketing functions are included along with incorporating multiple stakeholder voices from multiple organizational levels—including top-management team members, cross-functional managers and customers. A case study application is conducted using an Original Equipment Manufacturer (OEM) perspective. Findings The interrelationships between business, supply chain strategies and customer requirements are identified, along with tensions and tradeoffs using a series of “houses” or relationship matrices. The methodology provides managers with a decision support tool that can be flexible and applicable to aid sound PD decision-making incorporating multiple stakeholders. Originality/value Product decisions at the decline stage—for example product retirement or deletion—are neglected both in research and in practice. Having a formalized systematic process can make PD outcomes more objective. The proposed QFD approach is one of the early PD decision support tools—products can be deleted for strategic, operational and customer-related reasons, and the hierarchical interrelationships among various reasons need to be carefully managed to ensure sound product portfolio rationalization.
Environmentally-conscious manufacturing (ECM) and its practices have a variety of definitions and dimensions. ECM ranges from small, focused, and operational programs to broader, organization-wide strategic programs that have long-term implications for an organization. In this chapter, the authors apply the mechanics of interpretive structural modeling (ISM) to further understand the possible organizational ECM barriers and the interrelationships among these barriers. ISM is intended to identify the interrelationships between the barriers and their levels. These barriers are categorized into autonomous, dependent, linkage, and independent barriers on the basis of their driving power and dependence. ISM methodology suggests the use of expert opinions based on various management techniques such as brainstorming, nominal grouping technique, and affinity diagramming in developing the contextual relationship among the variables. Simulation and system dynamics modeling may also be used to help identify how barriers to ECM in organizations will influence the various organizational and performance results.
Green house gas (GHG) emissions have been tied to global climate change. One popular policy instrument that seems to have gained credibility with explicit mention of its application in the Kyoto Protocol is the use of permit trading and cap-and-trade mechanisms. Organizations functioning within this environment will need to manage their resources appropriately to remain competitive. Organizations will either have the opportunity to purchase emissions credits (offsets) from a market trading scheme or seek to reduce their emissions through different measures. Some measures may include investment in new technologies that will reduce their reliance on GHG emitting practices. In many countries, large organizations and institutions generate their own power to operate their facilities. Much of this power is generated (or bought) from GHG producing technology. Specific renewable energy sources such as wind and solar photovoltaic technology may become more feasible alternatives available to a large percentage of these organizations if they are able to take advantage and incorporate the market for GHG emissions trading in their analyses. To help organizations evaluate investment in these renewable energy technologies we introduce a real options based model that will take into consideration uncertainties associated with the technology and those associated with the GHG trading market. The real options analysis will consider both the stochastic (uncertainty) nature of the exercise price of the technology and the stochastic nature of the market trading price of the GHG emissions.
While the use of internal, external, and both types of environmental audits are becoming more pervasive in society, little is known about the stakeholder influences associated with their use, in large part because previous research has viewed them as a uniform type of management practice. This study draws on stakeholder theory to explore organizations' use of different types of environmental audits. It uses international manufacturing data to show that significant variations in the use of environmental audits are associated with differences in stakeholder influences, and that a more nuanced treatment is needed when evaluating these audits.
Purpose This paper aims to introduce relatively novel multi‐supply chain activity overview rough set theoretic applications to aid management decision making with an especial focus on green and sustainable supply chain management. Design/methodology/approach The methodology is a review of recent literature with extensions around rough set or neighborhood rough set methodologies for supply chain management. An overview of how the techniques can be applied to various stages of green supply chain management, selection, evaluation, development is presented in various sections. Findings The paper finds that rough set methodology is flexible enough to be applied as a selection tool, performance measurement evaluation tool, and a development program evaluation tool. Its application to green supply chain management topics is warranted and valuable. Research limitations/implications Limitations of the approach provide additional avenues for further research. One major limitation of the research is that a real‐world application to validate the approaches is necessary. Extensions and integration with other tools can also provide avenues for improvement. Practical implications A three‐staged ecological green supplier management process may help to get a broader corporate social responsibility and general sustainability perspective on the supply chain. Management can use these tools for planning, decision making, and maintenance of green supply chain activities. Social implications The application of sustainability and environmental issues for supply chain management has significant social impact. Originality/value Methodologically, this is the first time that neighborhood rough set has been comprehensively evaluated as a tool for managing green suppliers. A comprehensive overview of the green supplier management process considering the sustainability factors helps researchers to identify many opportunities for further investigation.
No abstract is provided for this article.
Purpose Based on the theoretical development by House et al. (2004), the purpose of this paper is to investigate the cross-cultural differences of internal auditors’ perceptions on the importance of internal auditor skills. Design/methodology/approach The authors developed a survey based on the competency framework for internal auditing and collected data from the UK (Anglo cultural cluster) and Korea (Confucian cultural cluster). In total, 231 internal auditors participated in the study. Findings The results showed that UK auditors perceived behavioral skills as more important than cognitive skills, while Korean auditors had an opposite perception. Not surprisingly, UK auditors rated each sub-category of behavioral skills higher than Korean auditors; Korean auditors gave higher scores than UK auditors for each sub-category of cognitive skills. Research limitations/implications One limitation of the study is that two different data collection methods were used for the study: online for the UK and paper-based for Korean auditors. Another limitation of the study is that the authors did not analyze the possible impact of each participating auditor’s background knowledge. Practical implications The findings of the study contributes to professional practice by providing culturally adaptive criteria for regulators’ policy-making, organizations’ employee hiring and training, and educators’ curriculum design across various cultural environments. Originality/value The findings of the study can provide some insights on cultural impacts to help academic researchers develop models regarding the internal auditor selection and training in different nations.
Public and private organizations have started to respond to various stakeholder and market pressures to improve their environmental and social sustainability performance. Government agencies represent one of the most pertinent stakeholders. Government stakeholder...
This article extends the coverage of previous studies and addresses persistent gaps in the literature by assessing the simultaneous effects of adopting blockchain technology (BCT) on supply chain performance. It empirically examines the indirect effect of BCT adoption on supply chain performance through the mediating variables of supply chain agility, adaptability, transparency and coordination, based on the expanded triple A supply chain concept. The study analyzes data from manufacturing firms listed on the Indonesian Stock Exchange. The findings align with propositions derived from the Resource Based View (RBV), in which capabilities viewed as mediators—rather than testing for direct effects of BCT on organizational performance—are the most likely scenario for multifaceted supply chain operations. This study contributes to the ongoing debate on the relationship between BCT and organizational performance. The research offers insights for policymakers and blockchain vendors into this relationship.
No abstract is provided for this article.
The last century has witnessed extant studies on the applications of Management Science (MS) to a diverse set of Supply Chain Management (SCM) issues. This paper provides an overview of the contribution of MS within SCM. A framework is developed in this paper with a sampling of MS contributions to major SCM dimensions. Future research directions are presented.
Foreignness and its relationship to sustainability is an underexamined and potentially insightful relationship. The insight gains from this relationship are particularly cogent when considering sustainable supply chain management practices, international business, and cross-cultural relationships. This paper draws from institutional theory and examines sustainability of supply chain partners from a foreignness perspective. A comprehensive conceptual framework evaluating the relationships of foreignness to economic, social and environmental sustainability is presented and discussed in this paper. In addition, contingent factors such as level of development of supplier’s nation, level of global integration of buyer and type of industry, on sustainability performance of focal firms are also conceptually evaluated. The direct and contingency frameworks introduced in this paper are presented along with research propositions that allow for furthering understanding and theoretical development within the sustainable supply chain management and the international business fields. Practical and research implications are also included with a research agenda to further investigate these relationships.
In this paper, we introduce a multi-stage multiple criteria latent class model within a Bayesian framework that can be used to evaluate and rank-order objects based on multiple performance criteria. The latent variable extraction in our methodology relies on Bayesian analysis and Monte Carlo simulation, which uses a Gibbs sampler. Ranking of clusters of objects is completed using the extracted latent variables. We apply the methodology to evaluate the resiliency of e-commerce companies using balanced scorecard performance dimensions. Cross-validation of the latent class model confirms a superior fit for classifying the e-commerce companies. Specifically, using the methodology we determine the ability of different perspectives of the balanced scorecard method to predict the continued viability and eventual survival of e-commerce companies. The novel methodology may also be useful for performance evaluation and decision making in other contexts. In general, this methodology is useful where a ranking of elements within a set, based on multiple objectives, is desired. A significant advantage of this methodology is that it develops weighting scheme for the multiple objective based on intrinsic characteristics of the set with minimal subjective input from decision makers.
We examine the potential of blockchain technology for carbon financing by organizations and within supply chains. Blockchain can provide transparent, trustworthy, secure, and efficient carbon‐related transactions. Signaling and attribution theories inform the study that uses choice‐based conjoint (CBC) experimentation to evaluate offsetting and insetting carbon finance investment scenarios. Factors on project attributes—including price, the scope of carbon finance project, blockchain adoption level, and stakeholder involvement—relationships to managerial investment decisions are investigated. We also investigate an important question on whether managerial ecological value propensity affects investment decisions and blockchain adoption preferences. The findings show that contrary to original suppositions, price was not as influential as presumed. Of greater concern to managerial decisions is the nature of carbon initiatives—the decision on whether to pursue carbon offsetting and/or insetting investments. Managerial environmental values significantly influenced decisions on carbon finance investments–with a preference for carbon reduction projects within their own supply chains. There is also an inclination for greater blockchain technology usage in carbon investment projects. Managers with greater ecological values were also more open to involving external parties favoring the adoption more extensive blockchain solutions. These results highlight blockchain's importance in making carbon finance projects more credible and trustworthy. Practically, the study highlights the importance of carbon finance project scope, nature, and blockchain technology in promoting sustainability initiatives. There are insights into a nuanced approach to addressing complexities of carbon finance within organizations and their supply chains.
The term "Fintech" is a portmanteau of "financial technology." Fintech is an emerging field that can be advanced through interdisciplinary collaboration, contributing to the fourth industrial revolution, known as Industry 4.0 (Doherty & Stephens, 2023). It is used to augment, disrupt, or enhance traditional financial services (Thakor, 2023). However, there is no universally agreed-upon definition for Fintech, as it varies depending on the characteristics of Fintech companies and the sectors, they operate in. The advancement of technology, particularly in the Fintech industry, has sparked extensive debates on the opportunities and challenges for businesses, consumers, and the labor force. The introduction of new Fintech technologies is expected to disrupt educational systems at all levels, necessitating the cultivation of fresh talent, which, in turn, requires an immediate and proactive response from higher education institutions and the business community. This collaboration between higher education and industry partners requires re-evaluation in order to equip the workforce with the skills needed through skilling, reskilling, and upskilling.
The last century has witnessed extant studies on the applications of Management Science (MS) to a diverse set of Supply Chain Management (SCM) issues. This paper provides an overview of the contribution of MS within SCM. A framework is developed in this paper with a sampling of MS contributions to major SCM dimensions. Future research directions are presented.
