The concept of maintenance sustainability performance assessment by integrating balanced scorecard with non-additive fuzzy integral

This study aims to develop a new approach based on machine learning techniques to assess sustainability performance. Two main dimensions of sustainability, ecological sustainability, and human sustainability, were considered in this study. A set of sustainability indicators was used, and the research method in this study was developed using cluster analysis and prediction learning techniques. A Self-Organizing Map (SOM) was applied for data clustering, while Classification and Regression Trees (CART) were applied to assess sustainability performance. The proposed method was evaluated through Sustainability Assessment by Fuzzy Evaluation (SAFE) dataset, which comprises various indicators of sustainability performance in 128 countries. Eight clusters from the data were found through the SOM clustering technique. A prediction model was found in each cluster through the CART technique. In addition, an ensemble of CART was constructed in each cluster of SOM to increase the prediction accuracy of CART. All prediction models were assessed through the adjusted coefficient of determination approach. The results demonstrated that the prediction accuracy values were high in all CART models. The results indicated that the method developed by ensembles of CART and clustering provide higher prediction accuracy than individual CART models. The main advantage of integrating the proposed method is its ability to automate decision rules from big data for prediction models. The method proposed in this study could be implemented as an effective tool for sustainability performance assessment.

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Notice of Retraction: A novel knowledge management performance assessment method based on balanced scorecard

2010 The 2nd Conference on Environmental Science and Information Application Technology ◽

10.1109/esiat.2010.5568444 ◽

2010 ◽

Author(s):

Zhu Xianyou

Keyword(s):

Knowledge Management ◽

Performance Assessment ◽

Balanced Scorecard ◽

Assessment Method ◽

Management Performance

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Integrating hierarchical balanced scorecard with non-additive fuzzy integral for evaluating high technology firm performance

International Journal of Production Economics ◽

10.1016/j.ijpe.2010.07.042 ◽

2010 ◽

Vol 128 (1) ◽

pp. 413-426 ◽

Cited By ~ 22

Author(s):

Chun-Hsien Wang ◽

Iuan-Yuan Lu ◽

Chin-Bein Chen

Keyword(s):

Firm Performance ◽

Balanced Scorecard ◽

High Technology ◽

Fuzzy Integral

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The impact of Logistics 4.0 on corporate sustainability: a performance assessment of automated warehouse operations

Benchmarking An International Journal ◽

10.1108/bij-11-2020-0583 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Natnaree Nantee ◽

Panitas Sureeyatanapas

Keyword(s):

Performance Assessment ◽

Sustainability Assessment ◽

Corporate Sustainability ◽

Worker Safety ◽

Self Assessment ◽

Content Type ◽

Sustainability Performance ◽

Technological Adaptation ◽

Warehousing Systems ◽

The Impact

PurposeThe purpose of this study is to gain a better understanding of the impacts of Logistics 4.0 initiatives (focusing on automated warehousing systems) on the economic, environmental and social dimensions of firms' sustainability performance. To achieve this objective, a new framework for the assessment of sustainable warehousing in the 4.0 era is developed.Design/methodology/approachThe framework, developed via the item-objective congruence index, Q-sort method and interviews with experts, is employed to assess performance changes through management interviews in two warehousing companies after the implementation of automation technologies.FindingsMost aspects of both companies' sustainability performance are considerably improved (e.g. productivity, accuracy, air emission, worker safety and supply chain visibility); however, the outcome for some criteria might be worsened or improved depending on each company's solutions and strategies (e.g. increasing electricity bills, maintenance costs and job losses).Practical implicationsThe findings provide insight into the effective implementation of warehousing technologies. The proposed framework is also a valid and reliable instrument for sustainability assessment for warehousing operators, which companies can utilise for self-assessment.Originality/valueThis paper contributes to establishing a body of literature that explores the previously unclarified effects of Logistics 4.0 on firms' sustainability performance. The proposed framework, which captures critical concerns of corporate sustainability and technological adaptation, is also the first of its kind for warehouse performance assessment.

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A Balanced Scorecard Framework for Measuring Sustainability Performance of Business Organizations

Handbook of Research on Interdisciplinary Approaches to Decision Making for Sustainable Supply Chains - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-5225-9570-0.ch007 ◽

2020 ◽

pp. 140-163

Author(s):

Varun Arora

Keyword(s):

Balanced Scorecard ◽

Numerical Study ◽

Corporate Image ◽

Global Reporting Initiative ◽

Business Organizations ◽

Sustainability Performance ◽

Financial Benefits ◽

Network Process ◽

Corporate Social ◽

Corporate Social Responsibility Reports

Sustainability is about meeting the needs of today without compromising the needs of future generations. It involves focus on three main dimensions, economic, environmental, and social, for achieving overall performance. Majority of the companies are adopting sustainability for business growth and boosting their corporate image for long term competitiveness, thereby receiving financial benefits as well. Sustainability is a concept that has come into picture a few years back and presently making a big mark in every field. A balanced scorecard framework is proposed for measuring sustainability performance of business organizations. Four main dimensions are considered, namely organization, process, core, and learning. Each of these dimensions comprises of various indicators obtained from global reporting initiative (GRI) and corporate social responsibility reports. The application of the sustainability scorecard is performed via multi criteria decision making technique called analytical network process (ANP). A numerical study is provided.

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