Publications

Implementing an Online Academic Evaluation System.

PC disposition decisions: A banking industry case study

No abstract is provided for this article.

Corporate Environmental Sustainability and DEA

Data envelopment analysis (DEA) is a flexible management tool and methodology that can be utilized in a variety of ways. This flexibility is evident in the applications of DEA for investigating corporate environmental sustainability and management. In this chapter an...

Performance Measurement and Evaluation for Sustainable Supply Chains using Rough Set and Data Envelopment Analysis

Performance measurement of sustainable supply chains is not a trivial issue. The complexities associated with measurement of supply chains is well known. Expanded sustainability measures for organizations and their supply chains only causes additional complexity....

<title>Logistics, electronic commerce, and the environment</title>

Organizations realize that a strong supporting logistics or electronic logistics (e-logistics) function is important from both commercial and consumer perspectives. The implications of e-logistics models and practices cover the forward and reverse logistics functions of organizations. They also have direct and profound impact on the natural environment. This paper will focus on a discussion of forward and reverse e-logistics and their relationship to the natural environment. After discussion of the many pertinent issues in these areas, directions of practice and implications for study and research are then described.

Evaluating supplier development programs with a grey based rough set methodology

Supplier performance management and continuous improvement play an important role for organizational and supply chain development. Many broad-based empirical studies have provided insights into the relationships of supplier development practices to supplier performance. Yet, specific tools available for organizations to internally evaluate such relationships are limited. To help further the research and development of decision tools in this area, we introduce a multi-method approach relying on grey system theory and rough set theory that can help organizations identify the important practices and programs related to suppliers’ performance. Our contribution includes introduction of a methodological approach for evaluating supplier development programs and identification of effective programs and relationships. Implications and results interpretation of the methodology, limitations and future research directions, further expanding the methodology and its applications, conclude the paper.

Supply chain-based barriers for truck-engine remanufacturing in China

This paper introduces a research framework to identify barriers from a remanufacturing supply chain perspective including strategic (governmental) and operational dimensions. Using responses from expert practitioners in a truck engine remanufacturer in China, a grey-based Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is applied to examine the cause-effect relationships among various implementation barriers. The results identify that lack of strong financial support for remanufacturing technologies or equipment updates and innovation are key implementation barriers. Lack of quality standards of remanufactured products, adequate availability of used truck engines, and quality guarantee marketing of remanufactured engines are also major barriers.

<title>Environmental benchmarking of the largest fossil-fueled electricity generating plants in the U.S</title>

Environmental management, to be effective, requires performance evaluation and process improvement. This is especially the case in fossil-fueled electricity generating plants. Although eco-efficient management of these types of organizations are critical to local, national and global environmental issues, few studies have focused on performance measurement and eco-efficiency improvements in this industry. This study evaluates the eco-efficiencies of the top 100 major U.S. fossil-fueled electricity generating plants from 1998 data. Using a multi-criteria non-parametric productivity model (data envelopment analysis) efficiency scores are determined. These efficiency scores are treated by a clustering method in identifying benchmarks for improving poorly performing plants. Efficiency measures are based on three resource input measures including boiler generating capacity, total fuel heat used, and total generator capacity, and four output measures including actual energy generated, SO2, NOx, and CO2 emissions. The purpose of this paper is two-fold, to introduce the methodology's application to eco-efficiency performance measurement and show some characteristics of the benchmarked plants and groups.

How Green is the Supply Chain? Practice and Research

This paper provides an overview of environmental (green) supply chain management. The overview includes a categorization of research and practice in purchasing, manufacturing, outbound, and reverse logistics dimensions.

Evaluating Industry 4.0 technology and sustainable development goals – a social perspective

Organisations are having difficulty in determining and integrating Industry 4.0 technologies (I4.0T) to improve social dimensions of sustainable performance. We address this issue by showing how to identify the impact degree and path of I4.0T using the United Nations sustainable development goals (SDGs). First, we identify the SDGs associated with I4.0 and establish an evaluation framework. Second, we introduce an evaluation method that integrates hesitant fuzzy sets, rough sets, decision-making, trial evaluation laboratory (DEMATEL) and interpretative structural modelling methods to identify the impact degree and path of I4.0T on SDGs. Third, we confirm the effectiveness of our framework and method using secondary case data from World Economic Forum reports. The case results show that I4.0T have varying direct and indirect influences on SDGs. Policy makers should consider that ‘Big Data and Analytics’ and ‘Cloud Computing’ are central I4.0T that link other technologies and SDGs. The prioritisation of I4.0T can lead to contributions to addressing ‘Responsible consumption and production’ and indirectly improve SDGs. The findings set an initial stage to help sequence investment in various technologies depending on SDGs. We identify sequential paths that can aid in planning for and investing in adopting I4.0T to better achieve SDGs.

Making a Sustainability Business Case for Alternative Building Designs Using the LEED Requirements

Making an evaluation and selection of alternative building designs is a critical issue facing many organizations. The selection of greener building designs is an important aspect of this process. Making the wrong choice can prove to be very costly as organizations try to uncover a design's potential for success from an economic and sustainable perspective. Recently, the issue of green construction and building design has grown in interest. However, the topic of sustainable building design selection remains an area of lesser investigation that has not seen much progress in the field of sustainable building design. The purpose of this article is to help organizations more effectively select and evaluate the relative sustainability of building designs using a multi-criteria decision model, the analytic hierarchy process (AHP) that has been applied to many areas of managerial decision making. More specifically, we structure a decision hierarchy for alternative sustainable building design selection based on the Leadership in Energy and Environmental Design (LEED) Green Building Rating System(tm) requirements and making a business case for selection of a specific design. We provide an illustrative application that can be implemented as part of a larger research and design decision support system.We will now present some background on the discussion of organizational decision making and making business cases.

Performance based clustering for benchmarking of US airports

Managing service operations is gaining significant attention in both academic and practitioner circles. In this broad area, performance evaluation and process improvement of airlines and air carriers has been the focus of several studies. Although efficient airport operations are critical for improved performance of airlines and air carriers, few studies have focused on airport performance measurement. This study evaluates the operational efficiencies of 44 major US airports across 5 years using multi-criteria non-parametric models. These efficiency scores are treated by a clustering method in identifying benchmarks for improving poorly performing airports. Efficiency measures are based on four resource input measures including airport operational costs, number of airport employees, gates and runways, and five output measures including operational revenue, passenger flow, commercial and general aviation movement, and total cargo transportation. The methodology presented here can be generalized to other industries and institutions.

Harnessing Corporate Sustainability Decision-Making Complexity: A Field Study of Complementary Approaches

Supply chain management environmental and social criteria are practical and research concerns due to regulatory, stakeholder, and economic pressures. Effective holistic sustainable supply management schemes require the evaluation and selection of suppliers. Supplier evaluation requires the balancing of multiple criteria. Multiple criteria tools, each with advantages and limitations, are necessary for the supplier evaluation and selection problem. This paper introduces a new methodological approach including complementary, analytic hierarchy process (AHP), decision-making trial and evaluation laboratory (DEMATEL) techniques and Bayesian networks (BN). The combination of DEMATEL, AHP and Bayesian approaches, although they are supportive and complementary methods, has seen limited investigation. The Bayesian network approach can complement DEMATEL and AHP to help improve the accuracy of AHP input data. Alternatively, DEMATEL and AHP can provide expert and more objective inputs for intangible factors, used in the Bayesian network approach. The validity and efficacy of this approach is demonstrated through a real industrial case using decision-makers’ inputs and outputs. The study shows the advantages and disadvantages of each method. Finally, we present results with managerial and research implications and future research directions.

COVID-19 pandemic digitization lessons for sustainable development of micro-and small- enterprises

The coronavirus (COVID-19) pandemic has undeniably influenced the global economy and environment. Major victims of the COVID-19 outbreak are Micro and Small Enterprises (MSEs), especially in developing countries, mainly because of limited use of digital technologies. This paper employs a literature review and personal insights to provide COVID-19 pandemic digitization lessons for sustainable development of MSEs from a technology for social good perspective. We develop a framework to support post COVID-19 digital transformation for sustainable development of MSEs. We find that digital payments, especially mobile money, should be a critical digital transformation priority for MSEs. Also, institutions must support MSE resources and capabilities to adopt digital transformation for business continuity, and sustainable production and consumption. Our study suggests that MSE managers and other stakeholders rethink their business strategies, incorporating crisis scenarios and business continuity plans to sustain customers virtually to enhance sustainable development. We also propose further research areas to improve the successful digital transformation of MSEs post COVID-19.

Manufacturing strategy and environmental consciousness

Ecological and environmental issues are playing a larger role in corporate and manufacturing strategies. Global and domestic environmental regulations and laws are forcing many organizations to consider environmental impacts of all functions and business processes and products. In this paper the environmental consciousness issues pertaining to manufacturing and operations management are presented. A general strategic framework on how to manage environmentally conscious programs and projects in a manufacturing enterprise is also developed and discussed. A number of research initiatives that need to be pursued are identified. The pursuit of these research initiatives will alleviate many of the barriers to adoption of environmentally conscious manufacturing strategies.

Sustainable transport fleet appraisal using a hybrid multi-objective decision making approach

One of the most critical operational practices influencing the environmental sustainability of organizations and their supply chains is the transport of ma

Factors for strategic evaluation of enterprise information technologies

In the last decade, we have witnessed companies investing in financially and laboriously expensive enterprise information technologies (EITs) that unify the internal and external supply chains for the purpose of gaining strategic advantages. As performance metrics data resulting from such investments are beginning to emerge, both practitioners and researchers are taking a critical look at whether these systems indeed produced the benefits proclaimed by their proponents at the pre‐implementation stages. In this context, the well‐managed appraisal, design, operation, and auditing of EITs within the ambit of organizational goals become significant. Provides a conceptual discussion on: a framework outlining a recommended decision process; a categorization of factors that must be considered during the process; and a summary of techniques and tools for the evaluation of those factors.

IEEE Technology and Engineering Management Society TEMS Administrative Committee