741 publications from this institution
Third-party reverse logistics provider (3PRLP) selection plays an important role in the operation and implemention of reverse logistics or reverse supply chains. Economic and cost based partner relationships are no longer acceptable for 3PRLPs or for organizations that seek to introduce sustainable supply chain management. Recent emphasis on sustainability has made 3PRLP evaluation and selection more complex. In order to advance this area of research and to help further incorporate sustainability into 3PRLPs selection modeling, a novel multi-stage, multi-method, multi-criteria approach is developed. Methodologically, this is the first time that neighborhood rough set (NRS) theory is integrated with TOPSIS and VIKOR techniques. Neighborhood rough set, as a data management and soft computation tool, can help reduce the number of 3PRLP to be evaluated and ranked using TOPSIS combined with VIKOR's compromise conception decision tools. A conceptual application is developed using business, environmental, and social factors within the context of reverse logistics management decisions. A sensitivity analysis evaluating various neighborhood rough set parameters is also introduced to investigate robustness of solutions using the multi-stage methodology. Methodological implications and future research and application directions conclude the paper.
Purpose To introduce and provide an overview of the various issues related to environmental (green) supply chain management performance measurement. Design/methodology/approach The work relies on experiences, case studies and other literature related to performance measurement in environmental supply chains. It seeks to integrate works in supply chain management, environmental management, and performance management into one framework. A systems framework forms the discussion outline with a focus on controls/pressures, inputs, tools, and outputs as major categories for evaluation and review. Findings Provides an integrative framework for study, design and evaluation of green supply chain management performance tools. The findings also identify a number of issues that need to still be addressed. Research limitations/implications We have only one design of the issues in which numerous categorizations could be provided. There is limited research in this area and new and current models/developments can provide additional insight. Implications of the work is that these gaps exist and that significantly more work needs to be completed in this field. Practical implications A very useful source of information for practitioners that seek to implement these systems within and between organizations. Also, the paper provides numerous areas which researchers could complete additional research and develop research agendas. Originality/value This paper provides some of the very first insights into development of a green supply chain management performance measurement system. Typically performance measurement systems are internally and business focused, we expand on these issues by considering inter‐organizational and environmental issues within a business context.
This study investigates how different operational risks impact firm stock market performance. By using a sample of 762 operational risk events published by 543 listed Chinese firms over the period of 2010–2017, we document an overall significantly negative market reaction to operational risks. Specifically, we find that the stock market reaction differs across operational risk types. Man‐made operational risk and disruption operational risk events are associated with greater negative market reaction than nature‐caused and nondisruption operational risk events, respectively. We further find that regulatory violations (external risks) have a smaller negative market reaction than operational incidents (internal risks). Finally, we show that different determinants of competitive forces, namely, a firm's market share and product substitutability, have contrasting effects on the market reaction of all operational risks. These findings can aid various stakeholders to understand the impact of different operational risks and advance cost‐effective mechanisms aimed at mitigating operational risks in China, with potential application to other regions.
Purpose This paper, a pathway, aims to provide research guidance for investigating sustainability in supply chains in a post-COVID-19 environment. Design/methodology/approach Published literature, personal research experience, insights from virtual open forums and practitioner interviews inform this study. Findings COVID-19 pandemic events and responses are unprecedented to modern operations and supply chains. Scholars and practitioners seek to make sense of how this event will make us revisit basic scholarly notions and ontology. Sustainability implications exist. Short-term environmental sustainability gains occur, while long-term effects are still uncertain and require research. Sustainability and resilience are complements and jointly require investigation. Research limitations/implications The COVID-19 crisis is emerging and evolving. It is not clear whether short-term changes and responses will result in a new “normal.” Adjustment to current theories or new theoretical developments may be necessary. This pathway article only starts the conservation – many additional sustainability issues do arise and cannot be covered in one essay. Practical implications Organizations have faced a major shock during this crisis. Environmental sustainability practices can help organizations manage in this and future competitive contexts. Social implications Broad economic, operational, social and ecological-environmental sustainability implications are included – although the focus is on environmental sustainability. Emergent organizational, consumer, policy and supply chain behaviors are identified. Originality/value The authors take an operations and supply chain environmental sustainability perspective to COVID-19 pandemic implications; with sustainable representing the triple bottom-line dimensions of environmental, social and economic sustainability; with a special focus on environmental sustainability. Substantial open questions for investigation are identified. This paper sets the stage for research requiring rethinking of some previous tenets and ontologies.
The integration of enterprise systems and the supply chain to an organization is becoming more critical in an ever-changing, globally competitive environment. Quick response will require close relationships, especially communications and information sharing among integrated internal functional groups as well as the suppliers and customers of an organization. Texas Instruments (TI), headquartered in Dallas, Texas, has come to realize this requirement for building and maintaining its competitive edge. Thus, it sought to implement an enterprise resource planning (ERP) system with a focus on linking it with a global electronic commerce (e-commerce) setting, an innovative and current issue (Weston, 2003).
Corporate environmental management is becoming more strategically oriented. With increased emphasis on the natural environmental by organizational stakeholders, including governments, stockholders, customers, employees and communities, the need for explicit consideration and incorporation of environmental strategy within corporate strategy has never been more critical to the organization. With such programs as design for the environment, total quality environmental management, life cycle analysis, green supply chain management, and ISO 14000 standards gaining notoriety, the operational and strategic decisions for environmental managers and businesses is becoming more complex. This paper integrates these elements and their attributes into a strategic assessment and decision tool using the systems with feedback or analytical network process (ANP) technique first introduced by Saaty. The ANP technique, which has been sparingly investigated by researchers or applied by practitioners is useful for modeling dynamic strategies systemic influences on managerial decisions.
Supplier selection and order allocation (SSOA) is an emerging and important issue in supply chain management. SSOA activities can be utilized to mitigate and manage carbon emissions for organizations. SSOA decisions that explicitly consider carbon neutrality or net-zero emissions within the sourcing process are lacking in the literature. This paper introduces a foundational multi-objective mathematical model to bridge this research gap. The model is empirically applied and evaluated using case study information from an energy trading platform that allows for the joint selection of a portfolio of suppliers. Various sourcing policies are evaluated using a reformulation of the foundational model. Parametric analyses provide additional theoretical and practical insights. Findings include the buyer only seeking fossil fuel purchases or virtually ignoring renewable energy usage—reaching net-zero through the purchase of carbon offsets and end-of-pipe carbon emissions sequestration. These and other findings provide theoretical and managerial insights. Additional opportunities for future investigation are relatively extensive for this socio-environmentally crucial issue. Future research guidance on carbon neutrality and net-zero implications for SSOA is provided in this paper.
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No abstract is provided for this article.
Water-related problems are currently second only to energy issues as threats to human society. North China is a region that is facing severe water scarcity problems. In order to provide appropriate water mitigation policies a regional study is completed. Under this circumstance, Liaoning Province, a typical heavy industrial province in north China is chosen as a case study region. The input–output analysis method is employed in order to evaluate the water footprint both from production and consumption perspectives. The results show that the total water footprint of Liaoning in 2007 was 7.30billionm3, a 84.6% of internal water footprint and a 15.4% external water footprint. The water trade balance of Liaoning was 2.68billionm3, indicating that Liaoning was a net water export region, although water shortages are becoming a more serious concern. The “Agriculture” and “Food and beverage production” sectors are found to have the highest water footprint, water intensity, water exports, and water trade balance. Based upon Liaoning realities policy implications and suggestions are made, including industrial and trade structure adjustment, application of water efficient technology and management measures, and appropriate capacity-building efforts. The methodology and findings may be useful for investigation of water footprints throughout various regions of the world.
Purpose The purpose of the paper is to help organizations more effectively select and evaluate internal auditors by introducing a multi‐criteria decision model, the analytic hierarchy process (AHP) that has been applied to many areas of managerial decision‐making. Design/methodology/approach The paper structures the decision hierarchy in entering level internal auditor selection based on the competency framework for internal auditing (CFIA) and provides an illustrative application example as part of a decision support system. Findings Recruiting and hiring qualified employees is one of the critical issues facing any organization. The selection of internal auditors is not an exception. Making the wrong choice can prove to be very costly as organizations try to uncover candidates' potential for success. Recently, there have been increasing numbers of research papers regarding the employee selection process. Originality/value Investigates an area that has not seen much progress in the auditing and auditor management field. Contributes to internal auditing research and practice.
The post-global economy presents an emerging context for sustainable supply chain management. A key challenge is to investigate the feasibility of supply chains for this context. This chapter proposes a Freedoms-of-Movement Lens (FoMs Lens) to characterise the...
