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This article discusses the importance of climate risk and environmental accounting in corporate reporting. It highlights the increasing concern over climate risk and its impact on companies' operations and performance. Stakeholders from various spheres are advocating for a transition to a low-emissions economy, pressuring organizations to disclose their climate-related risks and governance systems. Legislative developments, such as the Paris Agreement and the Task Force on Climate-Related Financial Disclosures (TCFD) recommendations, have further intensified the pressure on firms to integrate climate risk management into their accounting processes. The article features a collection of papers that explore different aspects of corporate reporting and how firms have responded to recent legislative and policy developments regarding climate risk disclosures. [Extracted from the article]

Purpose: The growing business complexity has caused many risks (e.g. operational, financial, reputational, cybersecurity, regulatory and compliance) that threaten companies' sustainability and have received attention from regulators, investors, and businesses. The authors present a model for assessing and reporting corporate risk by examining the indicators underlying corporate risk reporting. Design/methodology/approach: A thorough review of the literature and semi-structured interviews with experts were conducted and the fuzzy Delphi technique was used to obtain consensus and screening of risks. The relationships between these risk indicators were recognized, weighted and prioritized by employing a hybrid Decision Making Trial and Evaluation Laboratory Model (DEMATEL) method integrated with Analytic Network Process (ANP) (DEMATEL-ANP [DANP]) approach. Finally, using the Iranian setting of corporate risk reporting, a model was developed to calculate the risk-reporting scores. Findings: The results indicate that risk disclosure quality is more important than risk disclosures' textual properties and quantity. According to the experts, reporting the key risks that the company faces, management's approach to dealing with these risks and quantifying their impact are more important than the other indicators. The results also show that risk reporting in Iran lacks quantitative and specific information, and most risk disclosures are sticky. Research limitations/implications: The data have been prepared and analyzed according to the unique Iranian reporting environment, which should be considered when interpreting the results. Practical implications: The results of this research can be used by the regulators of the Stock Exchange Organizations (SEO) to evaluate corporate risk reports and rank companies. Results are also relevant to investors and policymakers to identify companies with poor risk disclosure and to take necessary measures to improve their reporting practices. Social implications: This paper contributes to the social and governance literature by presenting the importance of risk reporting in corporate disclosures. Originality/value: The unique Iranian setting of corporate risk reporting furthers the understanding of risk reporting and thus provides education, policy, practice and research implications for other emerging economies like Iran. Many prior studies focus mainly on the quality of risk disclosure, and other aspects of corporate risk disclosure presented in the study have remained largely overlooked. The corporate risk reporting attributes identified in the study are relevant to the rise of non-financial risks, the textual and qualitative nature of risk reporting and textual risk disclosures. [ABSTRACT FROM AUTHOR]

Purpose: Technological innovation has become a significant part of textile and apparel industries. To become distinguished from competitors, it is essential to harness the potentials of the organizations in achieving higher speeds, faster delivery times, more precise research and development processes followed by modern manufacturing techniques, lower inventory and lower costs. This paper aims to present the risk factors, root causes and their impact related to technological innovation. This uncovers deeper problems inherent to the technological innovation process while providing insight to develop a more robust risk management strategy in marking the survival and growth of the organizations in the textile and apparel trade. Design/methodology/approach: Literature review and structured interviews with industry experts were conducted to identify the risk factors and root causes associated with technological innovations related to textile and apparel industries. The impact of root causes to the risk factors was determined through priorities, derived according to analytic network process using Super Decision software. Findings: Impact of the root causes on risk factors take different priorities, highlighting the most alarming root causes, which contribute more to the outcome. This provides insight for a more precise decision-making on the order of prioritization of root causes in managing risks involved. Originality/value: Findings of this research provide insight on the most influential competencies of any textile and apparel organization for a thriving innovation. Profound knowledge on risk factors, root causes and their contribution to the outcome enhances complex decision-making. This ultimately leads to "credible performances" of the technological innovation and optimizing the resources available, which bridges the gap that exists in the current literature. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to investigate relationships of urban seismic resilience assessment indicators. Design/methodology/approach: To achieve this aim, construction of the urban seismic resilience assessment indicators system was conducted and 20 indicators covering five dimensions, namely building and lifeline infrastructure, environment, society, economy and institution were identified. Following this, this study used evidence fusion theory and intuitionistic fuzzy sets to process the information from experts then developed the fuzzy total interpretive structure model. Findings: A total of 20 urban seismic resilience assessment indicators are reconstructed into a hierarchical and visual system structure including five levels. Indicators in the bottom level including debris flow risk, landslide risk, earthquake experience and demographic characteristics are fundamental indicators that significantly impact other indicators. Indicators in the top level including open space, gas system and public security are direct indicators influenced more by other indicators. Other indicators are in middle levels. Results of MICMAC analysis visually categorize these indicators into independent indicators, linkage indicators, autonomous indicators and dependent indicators according to driving power and dependence. Originality/value: This paper attempts to explore relationships of urban seismic resilience assessment indicators with the interpretive structural model method. Additionally, Fuzzy total interpretive structure model is developed combined with evidence fusion theory and intuitionistic fuzzy sets, which is the extension of total interpretive structure model. Research results can assist the analytic network process method in assessing urban seismic resilience in future research. [ABSTRACT FROM AUTHOR]

Purpose: The Indian micro small and medium scale enterprises (MSMEs) are potential suppliers to the original equipment manufacturers (OEM). The implementation of sustainable supply chain practices (SSCPs) enhances the chances of developing a long-term partnership with these OEMs. Design/methodology/approach: A hybrid framework of analytical network process (ANP) and fuzzy logic (FL) is developed for implementing SSCPs in Indian MSMEs. This model has been validated through a case study. Findings: The study has identified several critical success factors (CSFs) for the implementation of SSCPs in MSMEs. This study has observed that Government regulation is the most important CSF for the implementation of SSCP in Indian MSMEs followed by management support and policy framework. Originality/value: The article presents a mechanism, i.e. an adaptability test that enables the OEM decision-makers to assess the suitability of an MSME for a long-term partnership. [ABSTRACT FROM AUTHOR]

Purpose: The aims of this paper is to establish an appropriate physical-change-based renewal (PCBR) projects selection mechanism capable of selecting the combination of the PCBR projects that can make up an integrated urban renewal program in high-density cities. Design/methodology/approach: The research design follows a sequential integrated methodology that combines the calculation algorithms of Fuzzy Analytic Network Process (Fuzzy-ANP) with Zero-One Goal Programming (ZOGP) to support decisions for the selection of PCBR projects. In the first phase, general criteria for assessing the sustainability performance of PCBR projects were collected from relevant literature. In the second phase, the Fuzzy-ANP was used to identify the priority weights of the candidate projects through clarifying the interdependent degree between the criteria and candidate projects. Finally, ZOGP method was selected as a predetermined number of PCBR projects among candidate projects. Findings: The feasibility and effectiveness of this hybrid approach is then verified in a case study of Yuzhong District, Chongqing in China. The results of this study indicate that the integrated method is capable of directing the decision maker toward the best compromising solution of PCBR program that can achieve the maximization of sustainable benefits and allocate limited resources most efficiently. Originality/value: The novelty of this paper consists in combining the algorithms of the Fuzzy-ANP method with those of the ZOGP model that serves as an effective analysis tool to address practical decision problems. This is the first hybrid algorithms to make PCBR projects selection decision that reach the maximization of the sustainable benefits, both in economic and socio-environmental terms. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to develop the maqasid index (MI) for Islamic corporate social responsibility (CSR), namely, Dana Abadi Umat (DAU) (Ummah's Endowment Fund) or MI-DAU in Indonesia. Design/methodology/approach: Modeling and weighting are based on Delphi and analytic network process (ANP) methods, called Delphi–ANP additive weighting. The Delphi method was applied to design and validate the factors of the MI-DAU model, and the ANP method was applied to generate and validate weights for these factors. Finally, the MI-DAU is calculated, based on the planned budget and actual allocation of DAU returns, called the maslahah fund, using additive weighting. Findings: Delphi and ANP show significant and robust results. The priority order and weights of maqasid Shariah are safeguard the faith (0.32), safeguard the intellect (0.219), safeguard the life (0.204), safeguard the wealth (0.171) and safeguard the lineage (0.104). Meanwhile, the priority order and weights of the main activities are education (0.190), Ummah's economy (0.167), Hajj service (0.155), Da'wah (0.124), health care (0.118), social-religious (0.097), worship facilities (0.085) and disaster emergency response (0.065). Finally, the results of MI-DAU show a high index in 2019 and 2020 of 71.89 and 69.51, respectively, generated from allocation ratio of 90.63% and 85.98%, respectively. Research limitations/implications: Maqasid Shariah used in this study follows Al-Ghazali, where it could also follow maqasid Shariah of Abu Zahrah or Al-Najjar. Moreover, the MI-DAU score uses additive calculations, where it can also use Pentagon calculation. Practical implications: The improved framework and method used to design MI-DAU in this study could be applied to design more scientific MI for other Islamic financial institutions. Originality/value: The novelty of this study is in the improved method used to design the MI model, including its factors, using Delphi, and to assign weights of all factors using ANP, where both provide validation for more robust MI model. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this research article is to investigate the critical risk factors associated with the digitalization impact on the Indian construction industry, as these firm plans to implement digitalization in order to improve their construction management processes. Design/methodology/approach: In this research article, risk factors and dimensions are taken from diverse industries and validated in the construction domain by industry and academic experts. Further, multi-criteria decision-making techniques are employed to assess the Indian construction sector scenario quantitatively. The interrelationship and weightage of risk factors and dimensions are determined by the Fuzzy Decision-making Trial and Evaluation Laboratory Analytic Network Process (DANP) method. However, the method Grey Technique for the Order of Prioritization by Similarity to Ideal Solution (TOPSIS) is used to determine the ranking of each risk factor. Findings: This study finds 14 critical risk factors along with four risk dimensions. Operational and financial dimensions are significant risk dimensions. Whereas the threat of high outlay and low yield is a significant risk factor in construction. Besides that, the interrelationship among risk factors, the weightage of each factor and the ranking of critical risk factors are also identified. Research limitations/implications: This research article uses Fuzzy DANP and Grey TOPSIS techniques as exploratory research methods with a limited group of construction professionals from a leading Indian construction firm. Furthermore, comprehensive confirmatory research can also be performed with a large group of construction experts using advanced analytical techniques to validate the ranking of critical risk factors. Practical implications: The findings of this study provide insight into the knowledge of construction firms by emphasizing significant risk factors related to digitalization in construction operations. Another finding of this study shows that the risks associated with digitalization in construction are similar to those in manufacturing, where high outlay and low yield hold a significant role in the transformation process. Originality/value: The research is unique since there have only been limited studies in the Indian construction scenario to analyze the significant risks associated with digitalization. Furthermore, this study demonstrates that the combination of Fuzzy DANP and Grey TOPSIS techniques may be used successfully to prioritize risks in construction digitalization, which is still in its early phases. [ABSTRACT FROM AUTHOR]

Purpose: The introduction of artificial intelligence (AI) technology has had a substantial influence on the retail industry. However, AI adoption entails considerable responsibilities and risks for senior managers. In this study, the authors developed an evaluation and selection mechanism for successful AI technology adoption in the retail industry. The multifaceted measurement and identification of critical factors (CFs) can enable retailers to adopt AI technology effectively and maintain a sustainable competitive advantage. Design/methodology/approach: The evaluation and adoption of organisational AI technology involve multifaceted decision-making for management. Therefore, the authors used the analytic network process to develop an AI evaluation framework for calculating the weight and importance of each consideration. An expert questionnaire survey was distributed to senior retail managers and 17 valid responses were obtained. Finally, the Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method was used to identify CFs for AI adoption. Findings: The results revealed five CFs for AI adoption in the retail industry. The findings indicated that after AI adoption, top retail management is most concerned with factors pertaining to business performance and minor concerned about the internal system's functional efficiency. Retailers pay more attention to technology and organisation context, which are matters under the retailers' control, than to external uncontrollable environmental factors. Originality/value: The authors developed an evaluation framework and identified CFs for AI technology adoption in the retail industry. In terms of practical application, the results of this study can help AI service providers understand the CFs of retailers when adopting AI. Moreover, retailers can use the proposed multifaceted evaluation framework to guide their adoption of AI technology. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to develop cash waqf models for Baitul Maal wat Tamwil (BMT), a special Islamic microfinance institution in Indonesia, combining Islamic social finance in Baitul Maal (house of wealth) division and Islamic commercial finance in Baitut Tamwil (house of asset development) division, as integrated Islamic social and commercial microfinance in Indonesia, to achieve triple bottom-line, including outreach, sustainability and welfare impact. Design/methodology/approach: This study uses Delphi and analytic network process methods, with three groups of relevant respondents, including experts (academic), BMT practitioners and regulators. Findings: The results show that the best cash waqf model for BMT is "BMT as Nazir (waqf manager) and also as cash waqf receiver Lembaga Keuangan Syariah Penerima Wakaf Uang (LKSPWU)", followed by "BMT Association as representative Nazir of several certified BMTs". Moreover, "long-term investment deposit" is the best to account cash waqf in the BMT balance sheet. With regard to financing, the most preferred one is "financing to regular Micro and Small Enterprises" of BMT members. Research limitations/implications: Having allowed BMT to be Nazir (waqf manager), this research might only benefit Indonesian policymakers, such as the Financial Services Authority and the Ministry of Cooperatives, BMTs and the National Waqf Board. But it may also benefit other countries which have similar characteristics. Practical implications: BMTs could adopt several alternatives of best models in managing cash waqf most appropriate for their specific conditions. Social implications: The management of cash waqf by BMT could help the social activities of the Baitul Maal through social cash waqf and, indirectly, by productive cash waqf. Originality/value: Studies have been limited, and to the best of the authors' knowledge, there is no specific study discussing the integrated cash waqf model, cash waqf account and cash waqf investment appropriate for BMT. [ABSTRACT FROM AUTHOR]

Purpose: This research aims to build a three-tiered driver system that entices contractor rule violations and explores the importance and the relationships among these drivers, hence providing theoretical support for the contractor rule violations governance. Design/methodology/approach: A literature review based on fraud diamond theory identified drivers from Pressure, Opportunity, Rationalization and Capability that drive contractor rule violations. In the Chinese context, through feedback, discussion and analysis of semistructured interviews with ten experts, an improved three-tiered driver system was drafted. Based on this system, a survey was conducted and scored with experts to provide the data for this research. The decision-making trial and evaluation laboratory (DEMATEL) method was used to determine relationships and influences between factors, and the DEMATEL-based analytic network process method was used to weigh these factors. Findings: This paper systematically studied the drivers of contractor rule violations, specifically, the results showed that pressure had an important driving effect across the driver system, and those five factors – poor cultural atmosphere, weak internal control, prior experience, moral disengagement and information asymmetry – had the most influence on contractor rule violations. The results also indicated the strong effect pressure has on enticing rule violations and revealed that culture atmosphere and internal company governance played crucial roles in the occurrence of rule violations. Practical implications: This study provided construction practitioners with a robust tool to analyze the drivers of contractor rule violations. The rule violation drivers in the construction practice scenes identified in this study can provide more direct and effective violation-related guidance for contractors, regulators and the industry. Originality/value: Based on the new perspective of fraud diamond, this paper systematically bulit a three-tiered driver system combining theory with practice. This study contributed to understand the driver mechanism of contractor rule violations especially the importance of internal factors of contractors, which provided theory reference for compliance governance of construction industry. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to facilitate positioning strategy formation by decoding the relationship between consumers' desired values, service attributes and expected consequences. Design/methodology/approach: Key informant depth interviews are followed by a questionnaire of self-cause-and-effect assessments. Total interpretive structural modeling (TISM) is used to identify hierarchical structures via pair-wise preference comparisons. The analytic network process (ANP) is used to compute relative weights to evaluate the overall image of identified alternatives. The feedback feature in the ANP is enabled to obtain objective assessments. Findings: With the help of both TISM and ANP techniques, the hierarchical and interactive relationships among consumers' desired values, expected consequences and service attributes are revealed in the context of international airline services. Research limitations/implications: The approach presented can help organizations to identify which attributes influence consumer evaluations of a company/brand; obtain the hierarchical and interactive relationships among service attributes, expected consequences and desired values; assess consumer preferences toward identified service attributes; and obtain an objective assessment of the competitive landscape, which can facilitate the development of effective positioning strategies and associated tactics. Practical implications: Organizations adopting the methods presented in this study can have a better understanding of the consumer value chain and deliver better customer experiences. Originality/value: The current study provides an innovative application of the TISM in conjunction with a feedback-enabled ANP technique to address brand positioning challenges. Future studies may consider adopting the TISM-ANP method as a foundation whenever one attempts to explore the values-consequences-attributes hierarchy. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to analyze the factors affecting the implementation of unmanned aerial vehicles (UAVs) in Indian humanitarian logistics. The factors listed are significant as they are hindering the incorporation of this new technology into the humanitarian supply chain, thus creating inefficiencies in the humanitarian logistics sector. Design/methodology/approach: This research is approached using a two-step process. In the first step, the particular barriers for UAV implementation are determined by a literature review and consultation with experts. Next, the proposed framework, a combination of grey-decision-making trial and evaluation laboratory (grey-DEMATEL) and analytic network process (ANP), i.e. g-DANP, is used to determine a hierarchical structure for the factors and sub-factors. The grey hypothesis provides sufficient analytical data to an otherwise lacking DEMATEL technique. Also, the use of ANP gives weightage to each factor, allowing us to categorize their importance further. Findings: This study reveals that factors like expensive commercial solutions and high transport energy costs are significant factors of the "cause" group, whereas the uncertain cost for maintenance and repair and deficiency of high-level computing are crucial factors of the "effect" category. The mentioned factors, along with many others, are the main reasons for the delayed incorporation of UAVs in humanitarian logistics. Practical implications: The results of this study present insights for humanitarian supply chain managers, UAV producers and policymakers. Those in the humanitarian logistics sector can use the findings of this study to plan for various challenges faced as they try and implement UAVs in their supply chain. Originality/value: This research is unique as it analyses the general factors hindering the implementation of UAVs in Indian humanitarian logistics. The study enriches existing literature by providing an analytic approach to determine the weightage of various interrelations between the identified factors affecting UAV incorporation in the humanitarian supply chain. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to conduct a meta-analytic review based on a theoretical framework developed for investigating new product development (NPD) teams in the first two decades of the research stream. Design/methodology/approach: This study contributes to literature by investigating the presence of publication bias and synthesizing correlation effect sizes of 27 factors influencing three NPD team performance dimensions: overall, market-based (e.g. sales, profitability), process-based (e.g. budget adherence, schedule adherence) outcomes. Further, this study presents a path analytical model that uses the aggregate study effects to identify significant drivers of NPD team performance. Findings: First, examination of extant literature shows no publication bias. Next, analyses show that three internal team dynamic variables have the most significant positive effect on overall NPD team performance: team member job satisfaction, cross-functional integration and superordinate identity. For market-based performance, three goal-related contextual factors exert the most positive influence, namely, goal stability, goal clarity and goal support, in respective order. Further, for process-based performance, cross-functional integration's strong positive effect is followed by team and goal stability. Moreover, physical distance, interpersonal and task conflict have significant negative effects on NPD team performance. Finally, both market- and process-based NPD team performance are significantly influenced by NPD team's cohesion, which acts a mediator between two contextual factors: physical distance and team tenure. Research limitations/implications: This meta-analysis contributes to literature by providing a comprehensive model of NPD team performance predictors, their definitions, along with their corresponding effects in predicting performance. While team cohesion is found to be a strong predictor of both market- and process-based performance, future research can examine if too much cohesion has a detrimental effect, especially on market-based performance. Practical implications: The results assist managers in shifting their priorities to ensure optimal support of NPD teams. For example, team leadership competence externally has a larger effect on overall performance compared to team leadership for internal team dynamics. Hence, team leaders should make sure that they manage the team's relationships with external parties (e.g. other functional units) with more caution. Originality/value: This study provides a guiding framework for analyzing NPD team performance as well as identifies and then addresses many knowledge gaps on NPD team performance. [ABSTRACT FROM AUTHOR]

Purpose: Knowledge management seeks collaborative practices among organisations to generate technical, adapt and share knowledge to obtain a sustainable competitive advantage in cross-border business activities. This paper aims to disentangle the crucial determinants of knowledge management in inter-organisational arrangements settings. Design/methodology/approach: In the first stage, after an in-depth literature review, the main knowledge management drivers are identified. In the second stage, based on the identified drivers, the importance and relationship between the drivers are evaluated by expert opinions from academic and executive activists. Eventually, in the last stage, a multi-layer decision-making approach has been proposed and used to determine the relationship and the importance of the drivers. Findings: The findings of this paper assess the ranking of the different elements from experts' opinions and discuss important theoretical and managerial implications. The influential factors were identified through an extensive literature review, which combined with the views of experts from academia and industry (international firms). Furthermore, the ranking of factors based on the experts' overall opinion was used to discuss theoretical and managerial contributions. Originality/value: This research provides a better understanding of the interrelationships between the key drivers of knowledge management, which helps management draw more effective strategies to address the cultural differences between firms. Moreover, understanding of the importance of the systems and structures that define the nature of the collaboration in inter-organisational settings, as well as the risks related to those are presented in this research. [ABSTRACT FROM AUTHOR]

Purpose: Due to the important role of strategic human resources in fulfilling the main objectives of organizations on the one hand and the necessity of having suitable functional strategies in place to operationalize the developmental programs on the other hand, this study aims to identify the factors and sub-factors of developmental programs and their priorities as well as the relationship and interactions of the identified criteria in human capital developmental programs through a hybrid fuzzy decision-making trial and evaluation laboratory –analytic network process approach. Also, the rank of functional strategies to achieve these human resource developmental programs is determined using fuzzy VIsekriterijumska Optimizacija I KOmpromisno Resenje (VIKOR) technique. Design/methodology/approach: Through an in-depth review of the relevant literature, the most important criteria and sub-criteria were determined. Then, a questionnaire was designed and distributed among 20 top managers and experts of the surveyed bank. Using geometric mean, the criteria were screened. In the next step, the second pairwise questionnaire was designed and distributed among eight experts, to determine the relations and interrelations among these factors their relevant sub-factors and prioritize them. Finally, using the third designed questionnaire and fuzzy, VIKOR (FVIKOR) technique the ranks of functional strategies were determined. Findings: Analysis of the results showed that "future wellness and retirement" is the most influential factor and the "retention" factor is the most permeable factor. Also, human capital planning is the most important factor of this department's developmental programs in achieving its strategic objectives. Factors "recruiting and hiring," "retention," "empowerment" and "future wellness and retirement" were ranked second to fifth, respectively. Finally, the application of the FVIKOR technique revealed that "enhancement and improvement of incentive systems" is the best functional strategy to achieve the developmental plans of the human capital department. Research limitations/implications: One of the limitations of this study is the generalizability of the findings, which may be limited by the single case study method used. Practical implications: This study presents a comprehensive and effective tool which could specifically help policymakers and top managers of the survey company and other managers of the banking sector in general, to use a quantitative approach toward identification and prioritizations of the determinants factors of the human capital developmental programs toward achieving functional strategic objectives to enhance the satisfaction of their internal customer as the most important asset of their organizations which might lead to the increased external customer satisfaction and, subsequently, increased competitive advantage. Originality/value: To the best knowledge of the authors, this is one the first studies of its kind which attempts through a hybrid fuzzy analytical network process and fuzzy DEMATEL approach, presents a structural network model to examine the interrelationships among the human capital developmental programs and prioritizes them, also simultaneously rank the functional strategies toward achieving these programs using FVIKOR technique. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to establish a rigorous model that can pragmatically evaluate the facilities management (FM) performance of hospitals. Design/methodology/approach: Among the applicable performance indicators that were identified from extant literature, a focus group study shortlisted ten key performance indicators (KPIs) in four categories (safety, physical, financial and environmental) and verified their practicality. Using the analytic network process (ANP) method to process the focus group's responses yielded importance weightings for the KPIs and developed the intended evaluation model. This model was then validated by a case study. Findings: From the empirical data collected, two types of FM performance data and two scenarios of KPI scores were identified. To process these data and scores, a robust calculation method was devised and then proved useful in obtaining an overall score for holistic hospital FM performance. The case study confirmed the appropriateness and validity of the model developed. Research limitations/implications: Through illustrating how the ANP method could be applied to develop an FM performance evaluation model, the study contributes knowledge to the multi-criteria decision-making domain. Despite the geographical limitation of the model established (i.e. centered around a group of hospitals investigated in Hong Kong), the study can serve as a reference for developing performance evaluation models for other buildings or infrastructures globally. Practical implications: The model constitutes a practical tool for evaluating the FM performance of hospitals. Using this model on a regular basis will enable performance benchmarking and hence, continuous improvement of FM services. Originality/value: The ANP model established is the first of its kind tailored for evaluation of hospital FM performance. [ABSTRACT FROM AUTHOR]

Purpose: Understanding the relational factors in information technology outsourcing (ITO) processes is essential for managers to exercise successful governance over their relationship. Based on this premise, this paper aims to present a study about relational factors using judgments of managers from small and medium-sized supplying and contracting companies involved in ITO relationships, helping to understand the differences between what they believe to be relevant for maintaining the relationships. Design/methodology/approach: The analytical approach consisted of applying fuzzy sets theory elements, converting the managers' judgments into crisp values through a defuzzification process, and the multicriteria method ELECTRE IV that created the rankings of the relational factors according to the defuzzified judgments. The approach was applied with 16 managers from supplying companies and 34 from contracting companies, in both cases located in a large Brazilian pole of information technology. Findings: The main findings indicate that suppliers are initially more concerned with contractual aspects, being in the highest positions in the ranking: detailed contract, service level agreement and costs. Only after these elements, suppliers prioritize aspects less linked to the contract. For contractors, customer relationship management is the most important, followed by costs and commitment by managers, which indicates more openness to issues-oriented to relational development. Originality/value: The approach adopted in this article is differentiated by prioritizing relational factors that are not always directly perceived in ITO relationships. Another important consideration is that most studies focus only on the perspective of supplier selection by contracting companies. In this paper, both suppliers' and contractors' judgments on the importance of ITO relational factors were analyzed, creating rankings that supported understanding the difference between the two perspectives. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to examine the constraints in the issuance of municipal Sukuk in Indonesia and proposed potential solutions and strategies to support its implementation. Design/methodology/approach: This study used the analytic network process (ANP) method with four groups of relevant respondents that comprised representatives from the local government, universities (academicians), experts (practitioners) and regulators. Findings: Four elements support municipal Sukuk issuance: issuer (regional government or municipality), investor, market and infrastructure. The element with the highest score was the lack of commitment from the regional government in issuing municipal sukuk due to leadership change that occurs every five years. Thus, specific regulations that strengthen and regulate municipal Sukuk issuance and the support from the central government are the priority solutions and strategies that should be undertaken to encourage regional governments in issuing municipal Sukuk. Practical implications: The establishment of specific regulations by the central government that support and strengthen municipal Sukuk issuance is necessary to promote successful implementation. Supports from the central government include tax incentives, accessible licensing processes and bureaucracy aids. Originality/value: This study extended the literature by examining problems, solutions and strategies for municipal Sukuk issuance in terms of four aspects: the issuer (municipal government), investors, markets and infrastructure. The multiple aspect analyses provided a broader understanding of the lack of municipal Sukuk issuance in Indonesia. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to design appropriate micro-fintech models for Islamic microfinance institutions (IMFIs), especially Baitul Maal wat Tamwil (BMT) in Indonesia, thus enabling BMT to combine Islamic social and commercial microfinance optimally. Design/methodology/approach: This study uses the analytic network process and Delphi methods, with three groups of experts as the respondents, namely, academician-regulators, BMT practitioners and Fintech practitioners. Findings: The first results show that the micro-fintech tools needed by IMFI/BMT are digital banking, payment, peer-to-peer (P2P) financing, P2P social and e-commerce. These could be developed by a BMT alone or with an APEX or Association, which could also collaborate with an existing fintech company that specialises in micro-fintech, applying the offline to online approach. This means that commercial funding, as well as social fundraising of zakat and waqf, would be conducted online, whereas commercial financing for micro and small enterprise customers and the disbursement of zakat and waqf would be conducted offline. The second results show that the limited open ecosystem and hybrid ecosystem are the most appropriate micro-fintech ecosystems for IMFIs/BMT, with various alternative models. In addition, the private closed ecosystem preferred by BMT would be feasible if all criteria show improvement in the future. Research limitations/implications: This study is qualitative in nature. The methods used have limitations, meaning the models could be improved by incorporating other methods. Moreover, the case and respondents are all Indonesian, which means that the results may only be applicable to BMTs in Indonesia. Practical implications: A BMT and/or BMT association could immediately apply micro-fintech with a limited open ecosystem, while in the future, they could apply micro-fintech with a private closed ecosystem. Social implications: The micro-fintech model could be used to optimise the collections of zakat, infaq and waqf, meaning BMT could provide more social programmes for those in need. Originality/value: The growth of fintech in Islamic microfinance has occurred only recently, while only a limited number of studies have been conducted; therefore, no study exists on the development of a micro-fintech model appropriate for IMFIs, especially BMT. [ABSTRACT FROM AUTHOR]

It is worth noting that the special section also considers the social value impact of Big Data-driven innovation in terms of capabilities and functionings enabled by emerging Big Data ecosystems. In what follows, we provide an overview of the articles in the special section, before proposing directions for future research on the value of Big Data and data sharing amongst individuals as well as private and public organizations. The concept of Big Data has gone through several cycles of awareness, with no small amount of industry hype ([9]) followed by a growing interest in academia ([1]; [3]; [5]; [12]; [13]; [27]). [Extracted from the article]

Purpose: This paper aims to evaluate the collaboration quality performance of sugar company Z and its stakeholders (farmers and distributors) by considering the sustainability aspects. This assessment shall be able to integrate qualitative and quantitative factors in the model, which is critical in sugar supply chains involving multi-stakeholders. Design/methodology/approach: Integration of quality function deployment (QFD), the fuzzy analytical network process (FANP) and the data envelopment analysis (DEA) is administered to assess the efficiency score of each stakeholder involved. The evaluation encompasses collaboration behaviour factors since the input of collaboration activities will result in sustainability aspects such as revenue, green house gas (GHG) emissions and social impact. The analysis has been conducted in two scenarios, those are the basic scenario by utilising original data and the extended scenario by using projection data. Findings: The result clarifies that the most influential behaviour factor in the collaboration activities is commitment (0.116), while the least important behaviour factors are power (0.008) and adaptation (0.008). Furthermore, by using the extended scenario, the overall efficiency for each benchmarking is higher compared to the condition before the improvement (basic scenario). Research limitations/implications: The result of this study is only relevant to the particular sugar supply chain and involving limited sustainability variables. Therefore, in a further study, more variables such as technical and financial aspects could be explored further in the assessment process. Practical implications: The result of this study is available for each stakeholder and can be fundamental for the constant improvement in sustainable supply chain (SSC) practices. It shows that an improvement of one stakeholder will positively impact the entire system. Social implications: Smallholders and sugarcane farmers will recognise the significance of collaboration behaviour. Thus, they can enhance their mutual benefits by using the existing resources. Originality/value: This paper arranges for a practical contribution by implementing advanced assessment methods in the sugar supply chain by taking into account the economic, environmental and social aspects. This comprehensive assessment process in the sugar supply chain is the novelty of this paper. [ABSTRACT FROM AUTHOR]

Purpose: Decisions taken during the early design of adaptive façades involving kinetic, active and responsive envelope for complex commercial buildings have a substantial effect on inclusive building functioning and the comfort level of inhabitants. This study aims to present the application of an analytic network process (ANP) model indicating the order of priority for high performance criteria that must be taken into account in the assessment of the performance of adaptive façade systems for complex commercial buildings. Design/methodology/approach: The nominal group technique (NGT) stimulating and refining group judgments are used to find and categorize relevant high performance attributes of the adaptive façade systems and their relative pair-wise significance scores. An ANP model is applied to prioritize these high performance objectives and criteria for the adaptive façade systems. Findings: Embodied energy and CO2 emission, sustainability, energy saving, daylight and operation maintenance were as the most likely and crucial high performance criteria. The criteria and the weights presented in this study could be used as guidelines for evaluating the performance of adaptive façade systems for commercial buildings in planning and design phases. Practical implications: This research primarily provides the required actions and evaluations for design managers in accomplishing a high performance adaptive façade system, with the support of an ANP method. Before beginning the adaptive façade system of a building design process, the design manager must determine the significance of each of these attributes as high performance primacies will affect the results all through the entire design process. Originality/value: In this research, a relatively innovative, systematic and practical approach is proposed to sustain the decision-making procedure for evaluation of the high performance criteria of adaptive façade systems in complex commercial buildings. [ABSTRACT FROM AUTHOR]

Purpose: Humanitarian supply chain (HSC) has been constantly challenged with multiple issues due to the complex dynamics of the disaster. These issues are inevitable and interrelated. The issues produce undesirable cascading effects that make performance measurement complicated. This paper aims to identify and model the critical barriers in the HSC. Design/methodology/approach: The study identifies 17 barriers through the relevant literature and interviews with the stakeholders related to humanitarian organization (HO) in the developing economy. The barriers have been identified from strategic, technological, organizational, economic and operational point of view. Further, the barriers were ranked based on the degree of influence using the grey analytic network process (ANP) approach. The interrelationship among the influential barriers is established through modified total interpretive structural modelling (mTISM). To analyse and demonstrate the iterative consensus among the stakeholders, kappa statistics was adopted. Findings: The barriers have been ranked to determine their extent of influence and modelled to reveal the interrelationship among them. The issues concerned with skills of personnel are the most influential barrier. Other three critical barriers identified are: chaotic operative environment, conflicting objectives of HO and lack of funding for information technology (IT) infrastructure. Appropriate funds need to be allocated towards IT infrastructure and personnel training. Originality/value: Both quantitative and qualitative performance measurement frameworks had been proposed earlier for HSC. However, limited literature addresses the implementation issues with the available frameworks. This study advances the knowledge on performance measurement barriers of HSC and develops a functional description to identify the critical role of performance measurement in HOs. The study proposes a new version of the interpretive structure modelling, using mTISM technique, to determine the contextual interactions between various HSC performance measurement barriers. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to provide a model for evaluating, prioritizing and allocating orders to suppliers in the supply chain for mega-projects. Design/methodology/approach: By using an integrated model (based on fuzzy analytic network process), suppliers are selected and the appropriate amounts are allocated to them in mega-projects. Initially, a hierarchical model of the research method was introduced. Then, the results on reliability and validity analysis of research measurement tools were presented. Finally, prioritization and allocation of orders to suppliers, with a case study of Iran Mall project, was carried out using Decision Making Trial and Evaluation Laboratory (DEMATEL) and analytic network process (ANP). T-test was used to evaluate the research hypotheses. Findings: The findings were examined against conventional numerical analysis techniques. Finally, implication and recommendations for future work were presented. Originality/value: The originality of this work is about using multi-criteria decision-making techniques for evaluating suppliers in mega-projects. [ABSTRACT FROM AUTHOR]

Purpose: Supply chain efficiency can be enhanced by integrating the activities in supply chain through digitalization. Advancements in digital technologies has facilitated in designing robust and dynamic supply chain by bringing in efficiency, transparency and reduction in lead times. This research tries to identify and prioritize the customer requirements and design requirements for effective integration of supply chain through digitalization. Design/methodology/approach: The key nine customer requirements and 16 design requirements applicable for an electronics company were shortlisted in consultation with the experts from the company and academia. An integrated analytic network process (ANP) and quality function deployment (QFD) methodology has been applied for prioritizing the customer and design requirements. The relative importance and interdependence of these requirements were identified and a House of Quality (HOQ) is constructed. Findings: The HOQ constructed has prioritized and identified interrelationships among customer requirements and design requirements for effective supply chain digitalization. These findings could be effectively used by managers for planning the objectives on long-term, medium-term and short-term basis. Originality/value: This study tries to bridge the gap of identifying and prioritizing the design and customer requirements for effective supply chain integration through digitalization. The results could aid practicing managers and academicians in decision-making on supply chain digitalization process. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to evaluate maintenance strategies based on fuzzy decision-making trial evaluation and laboratory (DEMATEL) and fuzzy analytic network process (ANP) in the petrochemical industry. Design/methodology/approach: This study proposes a hybrid-structured multi-criteria decision-making (MCDM) method based on fuzzy Delphi, fuzzy DEMATEL and fuzzy ANP as a structured methodology to assist decision makers in strategic maintenance. The fuzzy Delphi method (FDM) is applied to refine the effective criteria, fuzzy DEMATEL is applied for defining the direction and relationships between criteria and Fuzzy ANP is used for the selection of optimized maintenance strategy. Findings: The results identify "strategic management complexity" as the top criterion. The predictive maintenance (PdM) with the highest priority is the best strategy. It is followed by reliability-centered (RCM), condition-based (CBM), total productive (TPM), predictive (PM) and corrective maintenance (CM). Originality/value: Today, companies act in an atmosphere that is known with the features of uncertainty. In this atmosphere, only those companies can survive that have a strategy based on presenting the quality services and products to their customers. Similarly, maintenance as a system plays a vital role in availability and the quality of products, which creates value for customers. The selection of maintenance strategy is a kind of MCDM problem, which includes consideration of different factors. This article considers a broad category of alternates, including CM, PM, TPM, CBM, RCM and PdM. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to propose a comprehensive framework for prioritizing complexity criteria. The framework was validated by applying in infrastructure international development (ID) project as a case study. Design/methodology/approach: A literature review highlighted the limitations of existing complexity prioritization methods. Then, a combination of the fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy analytic network process (ANP) was employed as a foundation to develop a three-stage complexity prioritization framework. Focus group discussion and questionnaire surveys were used to practically test the framework in the infrastructure ID projects. Findings: The three-stage complexity prioritization framework was validated to be reliable and feasible. The findings showed ability of consultants, scope uncertainties, site compensation and clearance, communication between stakeholders, administrative procedure and project duration were the most significant complexity criteria of ID projects in the Vietnamese context. Practical implications: The framework is a robust tool that enables the researchers to grasp the interaction of complexity criteria for complexity prioritization. Later studies can apply the proposed framework, with some minor revisions, to assess the interaction of criteria in other research topics in, and beyond, project complexity. Results of the case study suggest project stakeholders focusing on complex interactions among criteria to reduce project complexity. Originality/value: This study contributes to the body of knowledge by providing a comprehensive complexity prioritization framework that grasps the interrelationship of complexity criteria. For stakeholders of ID projects, the findings provide insightful perspectives to understand complexity, which can help to enhance project performance. [ABSTRACT FROM AUTHOR]

Purpose: The objective of this study is to investigate the role of blockchain in reducing the impact of barriers to humanitarian supply chain management (HSCM) using a list of blockchain benefits. Design/methodology/approach: A decision aid was used to explore the suitability of blockchain in humanitarian supply chains. To achieve that, first, a list of barriers to HSCM was identified. Then, the intuitionistic fuzzy decision-making trial and evaluation laboratory (IF–DEMATEL) method was utilized to determine the relationships and the level of interdependencies among the criteria. Finally, the intuitionistic fuzzyanalytic network process (IF–ANP) technique was employed, as it successfully handles dependencies among the criteria. Findings: The findings of this study suggest that interorganizational barriers are the most suitable ones, the impacts of which blockchain may alleviate. This study further suggests that trust turned out to be the most significant benefit criterion for the analysis. Research limitations/implications: The readers should construe the findings of this study with caution since it was carried out using the data collected from the experts of a particular country. Moreover, the proposed decision aid contemplates a limited set of criteria to assess a possible role of blockchain in overcoming the barriers to HSCM. Practical implications: The findings of this study can assist humanitarian supply chain managers to make more judicious assessments on whether they implement the blockchain in humanitarian supply chain operations. Specifically, this research may help decision makers to identify the certain barriers, the impact of which may be reduced by using the blockchain. The findings of this research will also help various decision makers make more rational decisions and allocate their resources more effectively. Originality/value: To the best of authors' knowledge, no single study exists to investigate the role of blockchain in reducing the impact of barriers to HSCM using an intuitionistic fuzzy multi-criteria decision-making approach. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of the paper is to visualize the priorities of important factors towards the status of Industry 4.0 implementation in Indian manufacturing industries by utilizing the analytic hierarchy process (AHP) and analytic network process (ANP) techniques. Design/methodology/approach: Based on a review of relevant literature, the authors recognized four criteria and 16 critical factors that have been validated by academic and industry experts. AHP and ANP models are then developed to evaluate the requirements and essential elements of the Industry 4.0 implementation. The outcomes were validated with the aid of sensitivity analysis. Findings: The above models offer the industry a clear and straightforward way to understand the critical factors in the status of Industry 4.0 implementation. The two techniques have emerged to be influential in deciding the status of Industry 4.0 implementation. The two methods yielded almost identical outcomes. Both methods take into account the industry's specific needs based on their available capacity. Practical implications: Decision-makers and specialists will use the strategies discussed in this paper to effectively include the implementation status of Industry 4.0 in their industries, based on their ability to make arrangements for proper implementation of Industry 4.0 and to concentrate on top priority factors when implementing Industry 4.0 at their workplace. Originality/value: The contribution of this research is that it is the first to be carried out with a view to both AHP and ANP to analyze important factors regarding the implementation status of Industry 4.0 and authentication through sensitivity analysis methods; this is a recent initiative in Industry 4.0. [ABSTRACT FROM AUTHOR]

Purpose: Green Lean concepts offer methods for managing manufacturing organizations with the goal of improving organizational performance. Green Lean practices are good options to increase the environmental and operational performance of manufacturing industries. However, there are some barriers to implement Green Lean in manufacturing industries. This paper aims to identify these barriers by reviewing the literature and analyze inter-relationships amongst selected barriers. Design/methodology/approach: This paper deals with the identification of barriers to the adoption of Green Lean practices in manufacturing industries. Using the DEMATEL approach and using the insights of experts, a cause and effect relationship diagram was generated through which the effect of barriers was analyzed. Findings: Twelve barriers were categorized in terms of cause and effect, and the interrelationships of barriers were also analyzed. Threshold value is calculated as 0.134 and the values lower than a were eliminated to obtain the digraph. "Resistance to change," "lack of top management commitment" and "lack of training to employees" are the most prominent barriers on the basis of their prominent score. Research limitations/implications: Analysis in the research is highly dependent on expert judgments and opinions may be biased. However, the initial matrix obtained from the experts is hindered by the ambiguity about some relationships. But this can be improved by using fuzzy and grey set theories. The barriers used for the analysis are not from a specific type of manufacturing industry. Practical implications: The findings will help the manufacturing organizations to simplify the most important barriers, the least significant barriers and the relationships between these barriers. This Berlin knowledge will enable administrators to increase awareness of the barriers in Green Lean implementation. "The top management commitment" and "government support" are most important for the removal of barriers to Green Lean strategies. Originality/value: Very few scholars have used the DEMATEL approach to examine the sequence of the barriers to Green Lean implementation. The present study attempts to incorporate the DEMATEL model to assess the sequence of barriers to the implementation of Green Lean. This study investigates the degree of influence of barriers on each other and categorizes the barriers into cause and effect groups. This study is also intended to pave the way for future research in the path of the elimination of barriers to Green Lean strategies. [ABSTRACT FROM AUTHOR]