Multi-stakeholders’ assessment of bike sharing service quality based on DEMATEL–VIKOR method

ABSTRACT

Bike sharing is a sustainable mode of urban transportation. Assessing the perceived service quality is essential to improve the development of bike sharing. Most of the existing research evaluates the service quality of bike sharing only from the perspective of its users. This study assesses the perceived quality gap among four different stakeholders including government regulators, platform operators, bike association and users. First, an evaluation criteria system consisting of sixteen criteria obtained from the five dimensions of tangibles, reliability, responsiveness, assurance and empathy is constructed based on a revised service performance model. Thereafter, a hybrid multi-criteria decision-making model that combines Decision-Making Trial and Evaluation Laboratory (DEMATEL) with VIsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is proposed. Then, the model is applied to evaluate the service quality of bike sharing in Xi’an City. Finally, some useful suggestions are given to improve the bike sharing service quality from the perspective of multi-stakeholders.     

Hybrid MADM-based study of key risk factors in house-for-pension reverse mortgage lending in Taiwan's banking industry

The issue of financial problems among the elderly has garnered the attention of multiple generations. In 2018, Taiwan formally attained an ageing society status. In order to address the financial difficulties elderly people face, an annuity system reform was launched by the Taiwanese government. Reverse mortgage lending, which is performed on the basis of house-for-pension, is an alternate method for enhancing their standard of living and sustaining their financial stability. The elderly applicants often mortgage their properties to financial institutions in order to maintain a steady cash flow for the fulfilment of their daily needs and live their remaining years in the mortgaged properties without vacating. Prior studies on house-for-pension in the Taiwanese context primarily concentrated on institutional implementation analysis but limitedly explored the uncertainty risks banks face when implementing the house-for-pension scheme. First, a literature review on the risks associated with house-for-pension reverse mortgage financing and comprehensive interviews with banking industry professionals were conducted. Subsequently, in the Taiwanese banking sector, assessment criteria for important risk factors in house-for-pension reverse mortgage financing were devised. The decision-making trial and evaluation laboratory (DEMATEL) was utilised to assess the interdependence of the assessment criteria. Next, the DEMATEL-based analytic network process (ANP) or DANP were used to calculate the weights of evaluation criteria. By employing modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), a gap analysis was undertaken on the assessment criteria and sub-criteria. The study's findings serve as a guideline for the Taiwanese banking industry in formulating, improving, or amending the risk exposure mitigation measures for reverse mortgage lending.     

A supplier evaluation model based on customer demand in blockchain tracing anti-counterfeiting platform project management

This study assesses supplier selection at the beginning of project management to establish an evaluation system corresponding to blockchain tracing anti-counterfeiting platforms (BTAP). First, this paper determines 20 evaluation criteria from the four dimensions of platform overview, core technology, application support, and operations management. On this basis, multi-criteria decision making (MCDM) based on customer needs is proposed, which consists of three main steps. First, quality function deployment (QFD) and the best and worst method (BWM) are used to evaluate the four dimensions of the BTAP and specific evaluation criteria from the perspective of customers to obtain the criteria weight. Then, this method uses the extended Vlse Kriterjumska Optimizacija I Kompromisno Resenje (VIKOR) approach to sort the alternatives. Finally, the improved decision making trial and evaluation laboratory (DEMATEL) method is used to analyse the relationships between the 20 criteria in the four dimensions. The feasibility and effectiveness of this method are verified by an example. According to the sensitivity analysis and comparative analysis, the results show that this method can evaluate blockchain anti-counterfeiting enterprises. The main conclusions are as follows: the core technology is the most important factor influencing the choice of a BTAP project, and the role of application support in evaluation cannot be ignored.     

Comparison of municipalities considering environmental sustainability via neutrosophic DEMATEL based TOPSIS

Considering the increasing risk of various events to the environment, environmental sustainability has taken much more attention both by the academics and practitioners than the other topics. Every organization has its own responsibilities. However, public institutions have a more important role, since they have direct effect on all the community considering environmental sustainability. At this point, the performance evaluation of the municipalities becomes important and enables an effective management by not only indicating the existing status of the municipalities but also revealing the gaps for improvement. Hence, regarding the importance of environmental sustainability and performance evaluation, this study firstly provides the environmental sustainability dimensions with related indicators and presents an integrated methodology based on Neutrosophic Decision Making Trial and Evaluation Laboratory (N-DEMATEL) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for the performance comparison of municipalities. Different from the classical DEMATEL, N-DEMATEL addresses the inherent ambiguity and indeterminacy of decision making process while revealing the importance of factors considering the interaction between them. Afterwards, TOPSIS is used to determine the rank of the municipalities. So as to show the applicability of the proposed methodology, an application is performed in the district municipalities of Istanbul Metropolitan Municipality.     

Managing healthcare waste for sustainable environmental development: A hybrid decision approach

Healthcare waste management (HCWM) has become the most concerned issue for hospitals to enhance their environmental performance while reducing the waste disposal costs. The present study aims to standardize the evaluation criteria for the stakeholders to ensure sustainable environmental development by safe disposal of infectious healthcare waste (HCW). The present study applied the fuzzy-Delphi method to scrutinize the criteria identified from the literature and experts' opinions and resulted in 20 subcriteria under the following six main dimensions: experience, relationship, environmental factors, technology and qualification, economic factors, and firm's capabilities. Further, this study proposed a hybrid approach based on analytic hierarchy process (AHP) and decision-making trial and evaluation laboratory (DEMATEL) under fuzzy environment to analyze the importance and interrelationships of these listed criteria. The study also showed that the experts have given approximately 70% weightage to three main criteria: firms' capabilities, economic factors, and technology and qualification. The implications of the study would help the healthcare administration and Pollution Control Boards to prepare check sheets for recording HCWM practices and, hence, contribute to sustainable environmental development in an efficient way. Understanding the prioritized cause-group criteria would further protect hospitals' environment from the spread of infection caused by the HCW in the long run.     

Assessing people-driven factors for circular economy practices in small and medium-sized enterprise supply chains: Business strategies and environmental perspectives

Globalisation and technological advancements have increased the pressure on small businesses to increase their productivity and to gain competitive advantages. That pressure has been placed on the resources available, resulting in increased environmental degradation as a result of the traditional linear model of make-use-dispose. Circular economy (CE) practices offer the opportunity for sustainable production based on the reuse-remanufacture and recycling of resources for small and medium-sized enterprises (SMEs) to increase their sustainability, resulting in enhanced performance levels in terms of business strategies and environmental perspectives. But in academic literature, the role of people-driven factors (PDFs) in the adoption of CE practices in the supply chains (SCs) of SMEs is limited. Therefore, to fill this literature gap, this research looks at analysing PDFs for the implementation of CE in the SMEs in developing countries in two phases. PDFs are identified from an extensive literature review; a DEMATEL technique is then employed to understand the significant influence of each factor in the adoption of CE practices in SCs by dividing them into cause–effect groups. The findings show that PDFs such as training and knowledge sharing, employee participation, leadership and management plus strategic alignment are considered to be the most important significant factors in the adoption. The findings of this study will help industrial managers to understand the significance of the role of PDFs for enhancing business strategies; these findings can reduce the negative environmental impact in the adoption of CE practices in the SCs of SMEs.     

Structural model for analysis of key performance indicators for sustainable manufacturer–supplier collaboration: A grey-decision-making trial and evaluation laboratory-based approach

With growing competition in the market and dire need for sustainability, it has become imperative for companies to build long-term relationship with their supply chain partners through sustainable collaboration. Among these, the supplier–manufacturer relationship is crucial for improved organizational, business and sustainable performance. Sustainable collaboration with suppliers involves crucial decision-making processes such as continuous supplier monitoring and supplier development. Hence, a critical challenge that a company faces is to identify the key performance indicators (KPIs) for assessing the performance of a supplier for sustainable collaboration. In this regard, this study focuses on identification of KPIs for an Indian home appliance company through exhaustive discussions involving multiple decision-makers. Further, a grey-based decision-making trial and evaluation laboratory (DEMATEL) model is proposed in the study for analysing the importance levels among the fifteen KPIs based on multiple stakeholder perspectives. The results of the grey structural model indicate seven KPIs as influencing KPIs and eight KPIs as influenced KPIs. The KPI ‘Information disclosure’ has been identified as the most influential KPI for the evaluation of suppliers for sustainable collaboration. The implications drawn from the result analysis model can provide meaningful insights to managers for identifying strategies towards strengthening the supplier–manufacturer relationship and achieving organizational and market competence.     

Incorporating sustainability criteria into credit risk management

Does a commercial debtor's economic, environmental and social performance in terms of sustainability affect its credit risk rating? Does adding criteria aimed at assessing a lender's environmental, social or sustainability practices provide added value to traditional financial rating criteria? Many analyses have reported that a correlation exists between companies' environmental and their financial performance. We checked out the assertion that it ‘pays to be sustainable’ by analyzing the role that criteria pertaining to sustainability and environmental orientation play in the commercial credit risk management process. Our results show that sustainability criteria can be used to predict the financial performance of a debtor and improve the predictive validity of the credit rating process. We conclude that the sustainability a firm demonstrates influences its creditworthiness as part of its financial performance. Copyright © 2008 John Wiley & Sons, Ltd and ERP Environment.     

Strategies to develop a sustainable and resilient vaccine supply chain in the context of a developing economy

Developing a vaccine supply chain (VSC) is an intricate process due to product perishability issues and cross-border supply complexities. On top of that, developing a pandemic-driven VSC is more challenging due to having significant operational, infrastructural, and policy-related disruptions. From the perspective of a developing economy such as Bangladesh, handling the global COVID-19 pandemic through the proper establishment of a VSC has been disrupted by a multitude of organizational, economic, and policy barriers. This has hindered the process of establishing a resilient VSC let alone ensuring the sustainability of the supply chain (SC). Therefore, this study strives to identify the key VSC strategies and their interrelationships under four groups: Intra-organizational, Inter-organizational, Legislative, and Environmental, based on previous literature and the expert opinions of industrial practitioners and policymakers. 20 strategies are ranked, and their causal relationships are discussed using the fuzzy DEMATEL method. This study utilizes the fuzzy set theory to deal with the vagueness of human beings' perceptions, and the DEMATEL method to form a structural model to find out the cause (influencing and independent) and effect (influenced and dependent) relationships among different strategies. The outcome of this study shows that ‘developing local production facilities for vaccines’, ‘creating extensive governmental policy to ensure efficient distribution of vaccines’, ‘ensuring sustainable investment in vaccine manufacturing and distribution’, ‘integrating advanced data analytics for robust and resilient demand prediction’ and ‘promoting public-private-people partnership for sustainable investment’ are the most prominent strategies. The findings provide stakeholders and policymakers with a practical framework for developing a sustainable VSC prepared for any virus outbreak, such as COVID-19, while also achieving the Sustainable Development Goals (SDGs).     

人力资本配置效率关键影响因素辨识

本文在对人力资本配置效率影响因素进行分类辨识的基础上,基于DEMATEL(决策试验与评价实验室)构建了能够从具有复杂关联关系的因素中识别出关键因素的决策方法。最后,通过该方法对影响因素的重要性程度进行了排序和选择,得出经济发展水平和人力资本投资是影响人力资本配置效率的关键因素。     

Benchmarking sustainable E-commerce enterprises based on evolving customer expectations amidst COVID-19 pandemic

The 2019 coronavirus disease (COVID-19) pandemic has seriously impacted the performance of all types of businesses. It has given a tremendous structural boost to e-commerce enterprises by forcing customers to online shopping over visiting physical stores. Moreover, customer expectations of the digital and operational capabilities of e-commerce firms are also increasing globally. Thus, it has become crucial for an e-commerce enterprise to reassess and realign its business practices to meet evolving customer needs and remain sustainable. This paper presents a comprehensive performance evaluation framework for e-commerce enterprises based on evolving customer expectations due to the COVID-19 pandemic. The framework comprises seven primary criteria, which are further divided into 25 sub-criteria, including two sustainability factors, namely, environmental sustainability and carbon emissions. The evaluation approach is then practically demonstrated by analyzing the case of three Indian e-commerce firms. The results are obtained using a multi-criteria decision-making (MCDM) method, namely, Fuzzy VIKOR, to capture the fuzziness of the inherent decision-making problem. Further, numerical analysis is conducted to evaluate and rank various e-commerce enterprises based on customer expectations and satisfaction benchmarks. The findings explain the most important criteria and sub-criteria for e-commerce businesses to ensure customer expectations along with their economic and environmental sustainability.     

A note on compact differentiability and theδ-method

Letη _n ,n ∈ ?, be arbitrary functions defined on a probability space (ω,A,P) with values in a normed vector spaceB ₁ ,μ ∈ B ₁ andξ ₀ a separable random element inB ₁ such thatξ _n :=√n(η _n ?μ) converges weakly toξ ₀ in the sense of Hoffmann-Jørgensen. Then with (B ₂, ∥·∥₂) being another normed vector space andφ:B ₁→B ₂ compactly differentiable atμ with derivateD _μ, the random variable $\parallel \sqrt n (\phi (n_n ) - \phi (\mu )) - D_\mu (\sqrt n (n_n - \mu ))\parallel 2*$ converges to 0P-stochastically where “*” denotes the measurable cover. We show that the classicalδ — method extends to the non-measurable case where in the proof we shall not make use of any representation theorems but only of a slight refinement of the usual characterisation of compact differentiability, due to the fact that we will not assume {ξ _n :n ∈ ?} being tight.     

Building resilience for sustainability of MSMEs post COVID-19 outbreak: An Indian handicraft industry outlook

The handicraft business constitutes concept selling rather than mere product selling, which is highly dependent on demand. Handicrafts' Micro Small and Medium Enterprises (MSMEs) have an expanding market in developed countries. The impact of the pandemic on this industry is severe due to the industry's informal nature and seasonal demand. The survival and resilience of these handicraft MSMEs face many challenges in the post-COVID-19 outbreak. The focus of the present study is to understand and analyze the key challenges for building resilience in handicraft MSMEs by scrutinizing the existing literature and interactions with stakeholders. EFA and the Grey DEMATEL approach are used to analyze the challenges for the adoption of resilience. EFA is used to categorize the challenges into various dimensions. The study has divided the challenges for the inclusion of resilience into survivable, sustainable, and viable categories using EFA to plan for short- and long-term business growth. Grey DEMATEL is being utilized for understanding these contextual relationships for each resilience dimension. Grey systems theory is a methodology that enables the incorporation of improbability and vagueness into the analysis. Findings of the study revealed the influencing challenges for each of the dimensions such as competition from machine-made products, insufficient government support and incentives for export, and inefficient managerial concern and response to internationalization as the prominent challenges. The results of this study illustrate the causal relationships amongst the identified resilience challenges to the various stakeholders. These findings offer practical insights for the government to allocate resources and impose measures to ensure resilience, as well as understanding the cause-effect relationship. Managerial implications and Policy insights for building the resilience of handicraft MSMEs are discussed in detail.     

A novel hybrid multi-criteria method for supplier selection among SMEs on the basis of innovation ability

Today, small and large business houses operate collaboratively for the efficiency in the functioning of supply chains. Larger organisations mostly depend on small companies to supply majority of its components and thus they need to be careful while selecting their suppliers. Small organisations performing innovatively and supplying technologically upgraded as well as quality products at a cheaper rate can be a boon for the larger enterprise. This study develops a model for evaluating and selecting small firms as suppliers on the basis of their innovativeness. Best–Worst multi-criteria method is used to rank criteria of innovativeness and also to calculate their weights on the basis of expert opinion. Fuzzy TOPSIS methodology is used to rank the suppliers with respect to these criteria and finally select the best supplier among the available alternatives. A real-world application is illustrated by taking a case of auto component manufacturer and its seven suppliers, 5 main criteria and 23 sub-criteria are taken up for the study.

Abbreviations: AHP: analytical hierarchal process; ANP: analytical network process; DEMATEL: decision-making trail and evaluation laboratory; EMS: environment management system; ELECTRE: ELimination Et Choix Traduisant la REalité (elimination and choice expressing reality); FPIS: fuzzy positive ideal solution; FNIS: fuzzy negative ideal solution; ISM: interpretative structural modelling; PROMTHEE: preference ranking organisation method for enrichment evaluation; SME: small and medium enterprises; TOPSIS: technique for order preference by similarity to ideal solution; QFD: quality function deployment; VIKOR: VlseKriterijuska Optimizacija I Komoromisno Resenje; SP1; SP2; SP3; SP4; SP5; SP6; SP7: Various suppliers used as alternatives     

Can stable environmental protection officials’ tenure reduce illegal emissions?

Based on the day-night PM_2.5 difference of the nearest atmospheric monitoring points to measure whether there is illegal emission, this paper explores the impact of environmental protection officials' tenure (EPLT) on illegal emissions. The results show that there is a positive correlation between EPLT and illegal emissions. Stable EPLT can reduce illegal emissions by increasing environmental information disclosure and environmental subsidies. It can increase illegal emissions by weakening public pollution reporting and media supervision, environmental law enforcement and promoting corruption. In addition, EPLT can increase illegal emissions as EPLT is less than 3.55 years, while EPLT can increase illegal emissions as EPLT exceeds 6.21 years. Further, when mayor's tenure and EPLT are both stable, the promotion effect of EPLT on illegal emission is stronger. Stable company director's tenure can also aggravate the promotion effect of EPLT on illegal emissions.     

Circular economy and the policy: A framework for improving the corporate environmental management in supply chains

The transition to the circular economy (CE) creates value through the closed-loop systems, reverse logistics, product life cycle management, and clean production in terms of corporate environmental management. During this transition process, the organization faces many barriers such as financial, organizational, technology-based, social, policy-related, market-based, and logistics-based barriers. The objectives of this study are to propose a framework highlighting policy-related barriers for a supply chain in the transition to CE and finally discuss potential implications on enhancing corporate environmental performance of a business. Further, this study evaluates the causal relationships between the policy-related barriers using fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. The application was conducted in an apparel firm in Turkey. From findings, lack of legislation for efficient CE (C4), lack of mandatory requirements and responsibilities for manufacturers/suppliers for the CE (C17), and lack of government support for environmentally friendly policies (C2) are revealed as the most important barriers, respectively. It is found that lack of attitude and awareness about CE in government institutions (C19) is the most influencing factor, whereas lack of effective recycling policies to achieve quality in waste management (C8) is the most influenced factor. The recommendations were developed for enhancing the corporate environmental performance of businesses through incentives and unique rewards, improving communication among stakeholders, the government's perception of CE and current linear economy, cooperation with nongovernmental organization (NGOs) and civil actions, the vision of government towards circular principles, the circular public procurement, the local governments in circular policymaking, and awareness of bureaucracy and government officials.     

Two kinds of variance/covariance estimates in linear mixed models

For longitudinal data, the within-subject covariance matrix plays an important role in statistical inference and it is of great interest to investigate this. In the paper, two kinds of estimators are investigated for the random effect covariance matrix D ₁ and the error variance σ ² in linear mixed models. One is to estimate D ₁ first and then to estimate σ ²; the other kind is to estimate σ ² first and then for D ₁. Both kinds of estimators are consistent. The covariance matrices of these covariance estimators and the variances of these two error variance estimators are calculated. In particular, the mean square errors of these estimators are also derived for one dimensional random effects. Besides, a simulation study is conducted to investigate the performances of these estimators.     

The restricted regularity of admissible minimax criteria for many well known parametric statistical problems

Summary The stability of test selection criteria is a question that was raised byLeCam in 1964 [seeLeCam, 1964], but which seems to have received very little subsequent attention. Roughly, the problem posed byLeCam was to decide whether a given criterion is regular at a given statistical problem, i.e. given that the criterion prescribes the test ₀ for the statistical problem, (₀,D ₀,R ₀), whether it prescribes a best which is nearly the same as ₀ for any statistical problem, (, D,R), near to (₀, D₀,R ₀).A more precise formulation ofLeCam's question is one of the objectives of this paper. This involves defining a suitable topology on the domain of problems where the criterion in question is to be applied. Elementary minimax results of a general nature are proved, and counter examples are given to show that the assumptions used are not completely superfluous. The generality of these results seems to lend support to the authors opinion, that the method of formulation is suitable for treating minimax questions. We then consider the standard elementary problems of parametric statistics, (monotone likelihood ratio, general exponential family) and prove that the admissible minimax criterion is regular with respect to certain types of perturbations in these problems. The treatment is, in a sense, restricted and departs fromLeCam in holding the risk function essentially constant while varying the parameter space. That the problem variations considered may be of some practical interest and that the general formulations used are not completely unrealistic is shown at the conclusion of the paper where we apply a rest, icted regularity theorem to obtain regularity results for the binomial case.     

Estimation in a disequilibrium model and the value of information

Suits' model of the watermelon market is reformulated as a disequilibrium model and the likelihood function is derived under various assumptions concerning the amount of available information. Such models are characterized by a min condition as in y_t = min(D_t, S_t) for an ordinary demand-supply model, where the observed quantity y_t is the smaller demand and supply. Varying amounts of information may be available depending on which variables are observed and on whether prior information is available for separating the sample into subsets for which D_t < S_t and conversely. The likelihood function corresponding to the least amount of prior information is shown to be unbounded without a certain variance ratio restriction. Computations are successfully carried out both with the original model and Monte Carlo experiments and the effect of different amounts of information on MSE's is analyzed.