Special Issue "Impact of Operation Management on Sustainable Development of Corporation"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: 28 February 2022.

Special Issue Editors

Prof. Tsu-Ming Yeh
E-Mail Website
Guest Editor
Department of Industrial Engineering and Management, National Quemoy University, Kinmen County 892, Taiwan
Interests: operation management; service management; decision analysis; human resource management
Prof. Dr. Hsin-Hung Wu
E-Mail Website
Guest Editor
Department of Business Administration, National Changhua University of Education, Changhua 500, Taiwan
Interests: operations management; decision science; service science; medical management
Prof. Yuh-Wen Chen
E-Mail Website
Guest Editor
Department of Information Management, Da-Yeh University, Changhua 515, Taiwan
Interests: Internet of Things; artificial intelligence; decision analysis; supply chain management
Prof. Fan-Yun Pai
E-Mail Website
Guest Editor
Department of Business Administration, National Changhua University of Education, Changhua 500, Taiwan
Interests: production and operations management; supply chain management; technology management; industrial marketing

Special Issue Information

Dear colleagues,

Sustainability is an increasingly relevant issue for a wide range of organizations, and therefore sustainability management strategies and practices are of growing significance. Many sustainability impacts are strongly influenced by operation management decisions and the operations management function embraces the requirements of sustainability management. This has implications for decisions and processes associated, with all aspects of operations management, including strategy, design, planning and control, and improvement.

Over recent years, traditional operation management has been facing several challenges such as globalization, resource scarcity, energy crisis, regulatory pressure, pollution, and environmental issues. In order to face these economic, societal, and environmental challenges, many companies have started implementing sustainable-oriented practices on their operations. Besides, recent advances in  Information Communication Technologies (ICTs), such as Big Data, Artificial Intelligence, and the Internet of Things(IOT) are also changing traditional operation management.

This Special Issue aims to address questions related to the impact of operation management on the sustainable development of corporations. This Special Issue invites original research papers, case studies, reviews, and critical perspectives for current and new applied approaches. Potential topics for the Special Issue include, but are not limited to, the following:

  • operation strategies
  • operation management
  • operation research applications
  • quality measurement
  • quality management
  • optimization methods and industrial management
  • performance evaluation
  • applications in production, manufacturing and logistics
  • statistics in production, manufacturing and logistics
  • decision support
  • application in computing, artificial intelligence
  • information management
  • management science
  • enterprise resource planning (ERP)
  • multiple criteria decision making
  • soft computing on production, manufacturing and logistics
  • business models for sustainable supply chains
  • supply chain operations for a circular economy
  • strategic collaboration
  • sustainable supply chain management

Prof. Tsu-Ming Yeh
Prof. Hsin-Hung Wu
Prof. Yuh-Wen Chen
Prof. Fan-Yun Pai
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • operation management
  • supply chain management
  • circular economy
  • sustainability
  • performance evaluation
  • sustainable development
  • multiple criteria decision making
  • quality management
  • new product development
  • manufacturing

Published Papers (5 papers)

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Research

Article
An Improved Revenue Distribution Model for Logistics Service Supply Chain Considering Fairness Preference
Sustainability 2021, 13(12), 6711; https://doi.org/10.3390/su13126711 - 13 Jun 2021
Viewed by 426
Abstract
Revenue distribution is an important issue in the operations of a logistics service supply chain (LSSC). The existing works on revenue distribution are mostly based on the assumption of rational economic people that are purely self-interested. However, people also have a fairness preference, [...] Read more.
Revenue distribution is an important issue in the operations of a logistics service supply chain (LSSC). The existing works on revenue distribution are mostly based on the assumption of rational economic people that are purely self-interested. However, people also have a fairness preference, which impacts people’s decision-making behavior or even the success operations of the LSSC. For a two-level supply chain consisting of logistics service integrator (LSI) and several functional logistics service providers (FLSP), this paper establishes an improved revenue distribution model considering FLSPs’ inequity aversion. Specifically, the BO model (abbreviation of a model proposed by Bolton and Ockenfels in 2000) is improved to describe the FLSPs’ inequity aversion, which is combined into the conventional revenue distribution model. The proposed model aims to maximize the revenue of logistics service supply chain and obtains the best revenue distribution ratio of each member under equilibrium. In the numerical cases, the impacts of inequity aversion and the number of members with inequity aversion on the revenue distribution are discussed, respectively. The results show that a higher degree of FLSP’s advantageous inequity aversion corresponds to a lower revenue distribution ratio; a higher degree of FLSP’s disadvantageous inequity aversion corresponds to a higher revenue distribution ratio. Increasing the number of FLSP members with inequity aversion results in a higher profit of LSI and lower total utility of FLSPs and the utility of the supply chain. The more FLSP members with inequity aversion there are, the higher the LSI’s profit is, and the lower the total utility of FLSPs and the utility of supply chain are. In addition, the revenue distribution ratio of the FLSP increases with its relative fairness revenue coefficient among FLSPs. Full article
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Article
Integrated Operational Model of Green Closed-Loop Supply Chain
Sustainability 2021, 13(11), 6041; https://doi.org/10.3390/su13116041 - 27 May 2021
Viewed by 395
Abstract
Due to increasing environmental awareness, companies have started embracing the green supply chain concept to reduce waste of resources. Based on this increased awareness, an integrated green closed-loop supply chain has been developed, which integrates the forward supply chain and reverse supply chain. [...] Read more.
Due to increasing environmental awareness, companies have started embracing the green supply chain concept to reduce waste of resources. Based on this increased awareness, an integrated green closed-loop supply chain has been developed, which integrates the forward supply chain and reverse supply chain. The reverse supply chain follows the same path as the forward supply chain in the reverse direction to recycle used products. Due to the uncertain quality of used products, not all products can be selected for recycling and reproduction, as the reduced yield might decrease the overall net income in the supply chain. The study develops an evaluation model to consider government subsidy, used product recycling rate, and quality of the used products to explore their impacts on the entire system. The results show that when the reproducibility rate of used raw materials decreases, the net income would also decrease accordingly. Furthermore, when government subsidy increases, the net income of the supply chain also increases accordingly. Similarly, when the recycling rate of used products increases, the net income also increases. As government subsidy affects the net income more than the recycling rate of used products, this research concludes that government subsidy is a key factor in the green closed-loop supply chain. Full article
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Article
Budget Participation Capacity Configuration (BPCC), Budgeting Participation Requirement and Product Innovation Performance
Sustainability 2021, 13(10), 5614; https://doi.org/10.3390/su13105614 - 18 May 2021
Viewed by 415
Abstract
As the relationship between the execution of budget participation and innovation performance is still full of controversy, and the innovation capability formed by the important control elements of the organization is the key to bring about product innovation performance, this study aims to [...] Read more.
As the relationship between the execution of budget participation and innovation performance is still full of controversy, and the innovation capability formed by the important control elements of the organization is the key to bring about product innovation performance, this study aims to explore the impact of the formation of product innovation capabilities on product innovation performance under the demand for budget participation. This study proposes the concept of budget participation capacity configuration (BPCC), which is the integration of procedural justice, self-efficacy, and trust in superiors. This study adopted a questionnaire survey to collect sample data from production managers of the electronics-related companies listed on the Taiwan Stock Exchange and employed structural equation modeling to verify measurement model fit and research hypotheses. The study results present that budgeting participation requirement does not directly affect product innovation performance and confirms that the three organizational control elements together constitute BPCC, which plays a fully intermediary role between budget participation requirement and product innovation performance. The contribution of this research for academic theory is to put forward an explanation of the budget participation-innovation performance dispute, and propose an integrated viewpoint for organizational control elements instead of fragmental studies in the past. For practice, this research provides new evidence for budget participation requirements and sources of innovation capabilities. Full article
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Article
Establishing a Multiple-Criteria Decision-Making Model for Stock Investment Decisions Using Data Mining Techniques
Sustainability 2021, 13(6), 3100; https://doi.org/10.3390/su13063100 - 11 Mar 2021
Cited by 3 | Viewed by 573
Abstract
This study attempts to integrate the decision tree algorithm with the Apriori algorithm to explore the relationship among financial ratio, corporate governance, and stock returns to establish a stock investment decision model. The sports and leisure related industries are employed as the research [...] Read more.
This study attempts to integrate the decision tree algorithm with the Apriori algorithm to explore the relationship among financial ratio, corporate governance, and stock returns to establish a stock investment decision model. The sports and leisure related industries are employed as the research target. The data are collected and processed for generating decision tree and association rules. Based on the analysis outcome, an investment decision model is constructed for investors expecting to decrease their investment risks and further increase their profits. This stock investment decision model is one type of multiple-criteria decision-making model. This study makes three critical contributions to investors. (1) It proposes a systematical model of exploring related data through the decision tree algorithm and the Apriori algorithm to reveal the implicit investment knowledge. (2) An effective investment decision model is established and expected to provide a reference basis during stock-picking decisions. (3) The investment decision model is enhanced with implicit rules found among variables using association rules. Full article
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Article
Two-Stage Stochastic Program for Supply Chain Network Design under Facility Disruptions
Sustainability 2021, 13(5), 2596; https://doi.org/10.3390/su13052596 - 01 Mar 2021
Cited by 1 | Viewed by 594
Abstract
A supply chain disruption is an unanticipated event that disrupts the flow of materials in a supply chain. Any given supply chain disruption could have a significant negative impact on the entire supply chain. Supply chain network designs usually consider two stage of [...] Read more.
A supply chain disruption is an unanticipated event that disrupts the flow of materials in a supply chain. Any given supply chain disruption could have a significant negative impact on the entire supply chain. Supply chain network designs usually consider two stage of decision process in a business environment. The first stage deals with strategic levels, such as to determine facility locations and their capacity, while the second stage considers in a tactical level, such as production quantity, delivery routing. Each stage’s decision could affect the other stage’s result, and it could not be determined individual. However, supply chain network designs often fail to account for supply chain disruptions. In this paper, this paper proposed a two-stage stochastic programming model for a four-echelon global supply chain network design problem considering possible disruptions at facilities. A modified simulated annealing (SA) algorithm is developed to determine the strategic decision at the first stage. The comparison of traditional supply chain network decision framework shows that under disruption, the stochastic solutions outperform the traditional one. This study demonstrates the managerial viability of the proposed model in designing a supply chain network in which disruptive events are proactively accounted for. Full article
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