Designing simple productive waqf models for Indonesia

Purpose Productive waqf is one type of ethical business/investment, which should comply to Islamic law, with so many models to choose from. The purpose of this study is to determine factors of simple productive waqf, propose several simple productive waqf models and select the best simple productive waqf models appropriate to be adopted by waqf institution in Indonesia. Design/methodology/approach This study applies the analytic network process, including field survey, focused group discussion and in-depth interview, with two groups of respondents, namely, expert and waqf practitioner. Findings The results show that the determinants of simple productive waqf in Indonesia are the waqf institution, productive waqf asset to be developed, how to finance the productive waqf, how to manage the productive waqf and the compliance of productive waqf. Proposed productive waqf models include cash-waqf and self-managed model, Islamic bank financing and self-managed model, Sukuk and external partnership model, cash-waqf and external partnership and cash-waqf + co-financing and external partnership. Moreover, the best simple productive waqf model is cash-waqf and self-managed model, followed by cash-waqf and external partnership, where they could achieve the most in all socio-economic variables, well-being compliance and moral/ethics within the theory of unity of knowledge, Tawhid. Research limitations/implications The simple productive waqf models proposed are not exhaustive, since there are so many variations of the model. Moreover, the case and respondents are all Indonesian, so that the results are possibly only applicable to Indonesia. Practical implications To increase the probability of successful productive waqf development, waqf institutions could apply cash-waqf and self-managed model first, while other models could be applied in staged in line with waqf institution experience. Social implications The successful development of productive waqf could increase the social programs provided by waqf institutions to the society. Originality/value Productive waqf development is desperately needed due to many unproductive waqf lands in Indonesia, while studies have been limited, and there is no study discussing the productive waqf model appropriate for Indonesia.

A Hybrid ANP Method for Evaluation of Government Data Sustainability

The evaluation of government data sustainability is a multicriteria decision making problem. The analytic network process (ANP) is among the most popular methods in determining the weights of criteria, and its limitation is the un-convergence problem. This paper proposes a hybrid ANP (H-ANP) method, which aims to improve the ANP by combining the weights obtained from the analytic hierarchy process (AHP). The proposed method is proved to be convergent since the network of the H-ANP is strongly connected. According to the simulation experiments, H-ANP is more robust than ANP under different settings of parameters. It also shows a higher Kendall cor-relationship and lower MSE with respect to AHP, compared with the existing method (e.g., the averagely connected ANP method). An empirical example is also provided, which uses H-ANP to evaluate the government data sustainability of a city.

Assessing the factors affecting implementation of unmanned aerial vehicles in Indian humanitarian logistics: a g-DANP approach

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.

An analytic network process model for hospital facilities management performance evaluation

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.

Spread of Misinformation in Social Networks: Analysis Based on Weibo Tweets

Social networks are filled with a large amount of misinformation, which often misleads the public to make wrong decisions, stimulates negative public emotions, and poses serious threats to public safety and social order. The spread of misinformation in social networks has also become a widespread concern among scholars. In the study, we took the misinformation spread on social media as the research object and compared it with true information to better understand the characteristics of the spread of misinformation in social networks. This study adopts a deep learning method to perform content analysis and emotion analysis on misinformation dataset and true information dataset and adopts an analytic network process to analyze the differences between misinformation and true information in terms of network diffusion characteristics. The research findings reveal that the spread of misinformation on social media is influenced by content features and different emotions and consequently produces different changes. The related research findings enrich the existing research and make a certain contribution to the governance of misinformation and the maintenance of network order.

Muzakki's Commitment Improvement Model in Distributing ZIS Funds Through Prosocial Values Behavioral Approach

<p><em>The presence of Islamic insurance is an alternative, in order to avoid conventional insurance which is considered to have elements of usury, maytsir, gharar and zholim. In the era of economic disruption, Islamic insurance players and customers are waiting for the direction of strategic policies from the government as regulator and facilitator. The formulation of a sharia insurance development strategy policy begins with analyzing the obstacles to developing sharia insurance in Indonesia. These constraints mean that the number of sharia insurance customers in Indonesia is not maximal. These obstacles include the lack of socialization and promotion, inadequate use of technology, lack of product and service development, lack of knowledge, and the existence of conventional insurance. Based on these constraints, strategies for developing sharia insurance in Indonesia that can be carried out include maximizing socialization and promotion, maximizing the use of technology, developing products and services, increasing literacy, and market penetration. This research is aimed at analyzing the constraints and development strategies of Islamic insurance using a mathematical method, namely the Analytic Network Process (ANP) method, so that policy recommendations are supported by scientific studies. Furthermore, in this study the ANP method was adopted in a survey design involving a number of respondents. The heterogeneity of the assessments of a number of respondents is expected to provide a more rational alternative. The results of the analysis using the ANP method are priority constraints in order to get more attention and priority strategies that can be used to formulate policies to make them more focused.</em></p>

Challenges and Development Strategy of Sharia Insurance in an Era of Economic Disruption

<p><em>The presence of Islamic insurance is an alternative to avoid conventional insurance, which is considered to have elements of usury, maytsir, gharar and zholim. In the era of economic disruption, Islamic insurance players and customers are waiting for the government's strategic policies as regulators and facilitators. The formulation of a sharia insurance development strategy policy begins with analyzing the obstacles to developing sharia insurance in Indonesia. These constraints mean that the number of sharia insurance customers in Indonesia is not maximal. These obstacles include the lack of socialization and promotion, inadequate use of technology, lack of product and service development, lack of knowledge, and the existence of conventional insurance. Based on these constraints, strategies for developing sharia insurance in Indonesia that can be carried out include maximizing socialization and promotion, maximizing the use of technology, developing products and services, increasing literacy, and market penetration. This research aims to analyze Islamic insurance's constraints and development strategies using a mathematical method, namely the Analytic Network Process (ANP) method so that scientific studies support policy recommendations. Furthermore, in this study, the ANP method was adopted in a survey design involving several respondents. The heterogeneity of the assessments of some respondents is expected to provide a more rational alternative. The analysis results using the ANP method are priority constraints to get more attention and priority strategies that can be used to formulate policies to make them more focused.</em></p>

Constraints and strategies for municipal Sukuk issuance in Indonesia

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.

A Privacy Preserved, Trust Relationship (PTR) Model for Internet of Vehicles

The Internet of vehicles (IoV) depicts a reality where ordinary things are connected to vehicular ad-hoc networks (VANETs), allowing them to transmit and collaborate. By placing these regular objects in VANETs and making them available at any time, this network and data sharing may raise real privacy and security issues. Thus, group-based communication is mostly preferred in the literature. However, in heavy network scenarios, cluster-based communication mostly leads to additional overload in the form of the group leader that causes delay and disrupts the performance of a network. Due to the interaction of VANETs with applications that are not stable for life, privacy and security mechanism for detecting many malicious nodes is in great demand. Therefore, a multi-phantom node selection has been proposed in this paper to select trustworthy, normal, and malicious nodes. The multi-phantom node scheme is proposed to reduce the phantom node load, where the multi-lateral nodes in a cluster act as a phantom node to share the load. A multi criteria decision-making (MCDM) methodology (analytic network process) is used to optimize the phantom node to pre-serve privacy using the privacy preserved trust relationship (PTR) model. The results show checking the stability of parameters and using sensitivity analysis by considering different scenarios for the most optimal phantom node to preserve vehicle location privacy. The impact of the proposed model will be more clearly visible in its real-time implementation in urban areas vehicle networks.