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The purpose of this paper is to develop a slack-based measure (SBM) model in the presence of dual-role factor. Then it is applied in supplier selection problem.

The developed model in this paper is based on data envelopment analysis (DEA) technique.

The proposed evaluation platform is capable of identifying ill-performing suppliers which seek to future improvement. The findings provide valuable insights for practitioners, as well as academicians, policy makers and also integrate selection criteria under the supply chain.

This is the first time that a non-radial DEA model considers dual-role factors. The proposed model does not deal with dual-role factor as a non-discretionary factor. The proposed model considers dual-role factors on both the input and output sides in a similar manner. The proposed model can fully measure the inefficiency of suppliers. The proposed model can give a complete ranking of suppliers.

The purpose of this paper is to develop a model based on data envelopment analysis (DEA) and program evaluation and review technique/critical path method (PERT/CPM) for determining prospective benchmarks.

The idea of determining prospective benchmark is needed for developing a model for future planning where inputs and outputs of systems are influenced by external factors such as economic conditions, demographic changes, and other socio-economic factors. In this paper, the PERT/CPM method estimates prospective inputs and outputs. On the other hand, in particular systems some measures play the role of both input and output. Such factors in DEA literature are called dual-role factors. This paper integrates PERT/CPM technique and the DEA.

The results of the proposed model depict that a present benchmark may not be a benchmark in future. A numerical example validates the proposed model.

This paper, for the first time, applies the PERT/CPM technique to incorporate the ideas for identifying prospective benchmarks. Moreover, the proposed model is an alternative solution for classifying inputs and outputs in DEA. Also, the proposed model is utilized in benchmarking green supply chain management.

The determination of input and output factors is a well-known source of pitfalls when applying data envelopment analysis (DEA). The purpose of this paper is to contribute to overcome the respective problems of input/output factor determination related to factor selection, dual-role factors and undesirable factors.

The problems of input/output factor determination are discussed from a goal-oriented perspective, shedding a new light on the role of input/output factors in DEA. This is exemplified by the case of measuring pharmacy stores’ efficiency concerning their goal of customer retention.

The findings suggest to applying a generalized DEA (GDEA). The three steps of this approach include the development of a system of objectives, the derivation of corresponding performance criteria as well as the construction of cost and benefit functions. These functions build the basis for GDEA models, of which one is exemplarily described and applied to the customer retention case.

While traditional DEA implicitly assumes linear cost and benefit functions, GDEA requires to explicitly specifying these functions. In doing so, the approach contributes to solve the problem of factor selection, the problem of dual-role factors and the problem of undesirable factors.

For determining input/output factors in a consistent and transparent manner, it is recommended to apply GDEA in practical benchmarking studies.

GDEA integrates well-known concepts of multi-criteria decision making into traditional DEA. The new approach helps to cope with the challenges of input/output factor determination in DEA.

The purpose of this paper is to introduce an innovative data envelopment analysis (DEA) model entitled “Non‐binary Arithmetic Operator Dual‐role” (NAOD) under free disposability assumption for selecting the refrigerated containers in cold chain management (CCM).

In classical DEA models, it is assumed that all of input and output variables play a certain role. However, in some cases, some variables play both input and output roles, simultaneously. These variables in DEA are called “dual‐role” factors. This study introduces a new approach to deal with these factors in the process of evaluating a set of homogeneous refrigerated containers, which is based on Free Disposal Hull (FDH) (one of the DEA models). However, in previous dual‐role models, this variable is considered as a binary variable. In this paper, a partial role for dual‐role factors is considered.

The main findings of this paper are: for the first time, the NAOD model is developed for the container selection problem in the context of CCM and the dual‐role factors are considered for the container selection problem. The NAOD model determines partial role of dual‐role factors and can consider multiple dual‐role factors. For the first time, the container selection problem is solved by an FDH model. The result of NAOD model is validated by genetic algorithm.

The paper makes a sufficient contribution to the practice of operations research. It is the first study which applies advanced DEA models for selecting the containers in the context of the CCM. To the best of the authors' knowledge, there is no other reference that deals with container selection in the context of CCM in the presence of dual‐role factors.

The purpose of this paper is to monitor the environmental efficiency of suppliers in the presence of undesirable output and dual-role factors with static and dynamic aspects. Meanwhile, it also aims to explain the main reason for the low efficiency of suppliers.

The authors propose a modified data model considering undesirable output and dual-role factors. The study integrates the modified data envelopment analysis model into the distance function of the Malmquist–Luenberger index. Moreover, this study uses the global benchmark technology to formulate a two-stage model. To verify the validity of this model, a model application is conducted on an automotive spare components company in China.

The results identify the unique status of dual-role factors based on the global optimality of the model and then categorize inefficient suppliers in an individual evaluation cycle. In addition, each supplier is projected on a frontier curve after obtaining the improved data. Furthermore, through the status plot of M-L and its components, this paper concludes that efficiency scale change is the main reason for the gap in ecological performance between different suppliers.

The proposed model considers both undesirable output and dual-role factors; however, variables with different features, such as imprecise, fuzzy and qualitative characteristics, can be embedded into the presented two-stage model.

Evaluating green suppliers through multiple consecutive evaluation cycles will aid a company in effectively managing its key suppliers. Furthermore, the evaluation provides policy guidance for further improvement of suppliers.

The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation of efficiency score.

A dynamic DEA model to evaluate sustainable supply chains in which networks have series structure is proposed. Nature of free links is defined and subsequently applied in calculating relative efficiency of supply chains. An additive network DEA model is developed to evaluate sustainability of supply chains in several periods. A case study demonstrates applicability of proposed approach.

This paper assists managers to identify inefficient supply chains and take proper remedial actions for performance optimization. Besides, overall efficiency scores of supply chains have less fluctuation. By utilizing the proposed model and determining dual-role factors, managers can plan their supply chains properly and more accurately.

In real world, managers face with big data. Therefore, we need to develop an approach to deal with big data.

The proposed model offers useful managerial implications along with means for managers to monitor and measure efficiency of their production processes. The proposed model can be applied in real world problems in which decision makers are faced with multi-stage processes such as supply chains, production systems, etc.

For the first time, the authors present additive model of network-dynamic DEA. For the first time, the authors outline the links in a way that carry-overs of networks are connected in different periods and not in different stages.

This study aims to achieve three objectives: to explore the perception of consumers about supersized foods (in both pre- and post-consumption scenarios), to identify why consumers prefer supersized options over other available options and to determine the types of situations that push consumers to make such decisions.

This qualitative study uses the triangulation of projective methods, coupled with semi-structured interviews with 120 participants. The data was collected from major cities of Pakistan, using a convenient sample of 25 semi-structured interviews, 35 narratives and 60 sentence completions and constructions analyzed by performing thematic analysis.

The findings indicate that the antecedents of the purchase of supersized food include price/quantity trade-off, hunger, liking and the social setting of consumption. Such purchase decisions also lead to consequences such as saving after purchase, health concerns, food waste, guilt and satisfaction. The findings also reveal the factors that play a dual role of an antecedent and a consequence: sharing, social status, quantity and leisure time.

The knowledge of factors that make consumers select supersized foods can help marketers design deals that can control overconsumption and food waste. Instead of only focusing on the motivations behind the purchase of supersized foods, the authors also discuss the aspects of food purchase and consumption.

This study advances the literature on purchase decision, consumption and post-consumption of supersized foods, providing insights for food retailers, regulators and policymakers.

¿Cuándo y por qué los consumidores eligen alimentos de gran tamaño?

Este estudio busca alcanzar tres objetivos: 1) explorar la percepción de los consumidores sobre los alimentos de gran tamaño (tanto en escenarios previos como posteriores al consumo), 2) identificar por qué los consumidores prefieren las opciones de gran tamaño sobre otras opciones disponibles, y 3) determinar qué tipo de situaciones empujan a los consumidores a tomar tales decisiones.

Este estudio cualitativo emplea la triangulación de métodos proyectivos, junto con entrevistas semiestructuradas con 120 participantes. Los datos se recopilaron en las principales ciudades de Pakistán, utilizando una muestra conveniente de 25 entrevistas semiestructuradas, 35 narraciones y 60 terminaciones y construcciones de frases analizadas mediante la realización de un análisis temático.

Los resultados indican que los antecedentes de la compra de alimentos de gran tamaño incluyen la relación precio/cantidad, el hambre, el gusto y el entorno social del consumo. Estas decisiones de compra también conllevan consecuencias como el ahorro después de la compra, la preocupación por la salud, el desperdicio de alimentos, el sentimiento de culpa y la satisfacción. Los resultados también revelan los factores que desempeñan un doble papel de antecedente y consecuencia: compartir, estatus social, cantidad y tiempo de ocio.

El conocimiento de los factores que hacen que los consumidores seleccionen alimentos de gran tamaño puede ayudar a los responsables de marketing a diseñar ofertas que puedan controlar el consumo excesivo y el desperdicio de alimentos. En lugar de centrarse únicamente en las motivaciones que subyacen a la compra de alimentos de mayor tamaño, los autores también analizan los aspectos de la compra y el consumo de alimentos.

Este estudio supone un avance en la literatura sobre la decisión de compra, el consumo y el posconsumo de los alimentos de gran tamaño, proporcionando información a los minoristas de alimentos, a los reguladores y a los responsables políticos.

Gran tamaño, Alimentos de gran tamaño, Consumo de alimentos, Estudio cualitativo, Técnicas proyectivas

Investigación

消费者何时以及为何选择超大号食品？

本研究旨在实现三个目标。1）探索消费者对超大号食品的认知看法（在消费前和消费后的场景下）, 2）确定消费者为什么喜欢超大号食品而不是其他现有选择, 以及3）确定促使消费者做出这种决定的情况类型。

这项定性研究采用了投射方法中的的三角测量, 以及对120名参与者的半结构化访谈。这些数据是从巴基斯坦的主要城市收集的, 研究者使用了一个方便性样本, 其中包括25个半结构式访谈, 35个叙述, 以及60个句子的完成和结构。这些数据通过主题分析来进行解析。

研究结果表明, 购买超大号食品的前因包括价格/数量的权衡、饥饿感、喜好和消费的社会环境。这样的购买决定也导致了购买后的节省、健康问题、食物浪费、内疚和满足感等后果。研究结果还揭示了几个即是前因又是结果的双角色因素：分享、社会地位、数量和休闲时间。

了解促使消费者选择超大号食品的因素可以帮助营销人员设计能够控制过度消费和食品浪费的交易。作者不仅仅关注了购买超大号食品背后的动机, 还讨论了食品购买和消费的各个方面。

这项研究推进了关于超大食品的购买决策、消费和消费后的文献, 为食品零售商、监管者和政策制定者提供了见解。

关键词 超大, 超大食品, 食品消费, 定性研究, 投射技术

文章类型： 研究型论文

The objective of this paper is to propose a new data envelopment analysis (DEA) model for assessing sustainability of suppliers with partial impacts between inputs, desirable outputs and undesirable outputs.

This paper examines partial impacts of inputs on desirable and undesirable outputs and applies weak disposability assumption to propose a novel DEA model to determine the sustainability of suppliers.

This paper shows the type of resource sharing in DEA models and takes into account sustainable development and sustainability assessment concepts for sustainable supplier selection problem and develops a DEA model for selecting the most sustainable suppliers with partial sharing of resources. To select the most sustainable suppliers, this model helps managers to consider aggregate efficiency, overall efficiency and bundle efficiency. The paper introduces the supplier which is efficient at all levels as the most sustainable supplier.

For the first time, this paper suggests a new DEA model by partial impact between inputs and good outputs/bad outputs for selecting sustainable supplier and deals with the situations in which each supplier has several subunits. The new model calculates aggregate efficiency, overall efficiency and subunit efficiency of supplier. paper introduces the supplier which is efficient in all levels including aggregate efficiency, overall efficiency and subunit efficiency as the best supplier.

The purpose of this paper is to efficiently assist the decision makers in evaluating and selecting the most appropriate third-party logistics (3PL) provider from environmental sustainability perspective using a two-phase model based on data envelopment analysis (DEA) and analytic network process (ANP).

The study uses an integrated approach of DEA and ANP as an evaluation and selection methodology to select an efficient and requisite 3PL. The integrated model is a sound technique for 3PL evaluation and selection. DEA effectively screens the maximally efficient 3PLs, whereas ANP easily performs the cumbersome process of weighting diverse criteria and ranks various alternatives according to their performance on the basis of these criteria. This study lists the prominent evaluation and selection criteria taking into consideration the environmental sustainability. Finally, a real-life industrial application is presented to demonstrate the proposed method.

The current research work is devoted to the emerging research topic of environmental sustainability in logistics industry and supply chain management. The results of study indicate that eco-efficient transportation and 3PLs lead better transportation planning, better inventory and warehouse management, lower inventory cost and sustainable supply chain operations. Also, the applied approach enables the decision makers to better understand the complex relationships of the relevant criteria in the decision-making process.

This study does not investigate the relationships between environmental performances and differentiation advantage from the perspective of 3PLs. Also, sensitivity analysis is not performed.

The developed integrated model enables decision analysts to better understand the complete evaluation process of 3PL evaluation and selection considering environmental sustainability perspective. Furthermore, the developed approach provides a more flexible, simple, accurate, effective, and systematic decision support tool for 3PL evaluation and selection.

The current study is first of its kind to use the integrated approach in evaluation and selection of 3PLs from environmental sustainability perspective considering the inter-dependencies among the evaluation and selection criteria.

The purpose of this paper is to determine the two-direction relationship between financial firm performance and executive compensation in Thai listed companies; that is, effect of firm performance on executive compensation and the effect of executive compensation on subsequent firm performance. In investigating the relationship, governance, firm-specific and human capital characteristics, which should influence on the pay-performance system, are also considered. This study helps to shape an understanding of the effectiveness of the incentive system in the Thai context.

The System GMM, with concern about the endogeneity problem of the simultaneous relationship, is applied to examine the relationship between firm performance and executive compensation. The samples to investigate this relationship composed of 5,139 firm-years observations for 15 years from the years 2000 to 2014 of 432 non-financial firms in the Thai stock market.

The empirical evidence reveals simultaneous relationship between performance and executive compensation in Thai stock market. It shows that compensation of executives in Thai firms corresponds to firm performance, and compensation of executives leads to an improvement in subsequent performance of Thai listed firms. Moreover, some corporate governance mechanisms and human capital of executives also revealed their particular effects on setting of the pay for performance system in Thailand.

This study confirms that the pay for performance system is applicable in Thailand. Furthermore, the empirical results of this study highlight effects of some governance and human capital characteristics on setting of the pay-performance system. Thus, this study should be a part of the growing body of literature in this area.