An application of Fuzzy DEMATEL electronic life-insurance development

For years, e-commerce has generated competitive advantage for many industries especially in insurance industry where people could apply for any sort of insurance, very easily. In fact, insurance industry has become one of the most important sectors in the world. E-commerce, on the other hand, has absorbed various people in insurance industry to develop economic growth. However, applying e-commerce for insurance firms may encounter serious obstacles and it is important to know them properly and setup appropriate actions to remove them. In this paper, we present a multi-criteria decision making (MCDM) technique based on DEMATEL with an adaptation of fuzzy logic to find important factors impacting implementation of e-commerce for life insurance industry. The proposed study of this paper designs a questionnaire and distributes it among some insurance experts and then we analyze them using fuzzy DEMATEL technique. Findings indicate that “lack of designing death table based on the existing statistics of population death in Iran”, “lack of variety in protections of life insurance in proportionate to society individual’s requirements by means of low level income of society individuals” and “lack of extensive advertisements for developing the culture of life insurance in country” are the most important factors influencing insurance industry for enhancing e-business

Fuzzy Multiple Criteria Decision Making Approach to Assess the Project Quality Management in Project

AbstractProject quality management is all of the processes and activities needed to determine and achieve project quality. It includes the processes required to ensure that the project will satisfy the needs for which it was undertaken. Based on the identified evaluation criteria, a hierarchical structure of three dimensions and fifteen criteria is constructed, and a systematic approach with fuzzy ANP (FANP) was employed to assess the relative importance rates and rankings of these criteria. Discussions for the results are made and a brief conclusion is proposed. Therefore, the purpose of this paper is to evaluation project quality management in project. The results found that there were interactive relations between all the criteria, where the dimension of “Quality planning” was the most influential dimensions; Furthermore, criteria “Project management plan”, “Project Scope”, and “Quality management plan” have the higher influences among each dimension, so we suggest to consider them as the major steps to promote the quality of project management

Representing a new approach for implementing e-insurance using fuzzy DEMATEL

During the past two decades, e-commerce has revolutionized many industries by providing easy access infrastructures for interested users who wish to place their orders via internet facilities. Insurance industry is one of the most important financial industries in the world. E-commerce has been attracting many in insurance industry and insurance industry has utilized e-commerce because of its own significance in economic growth and health of society. However, enhancing e-commerce into insurance firms may face serious barriers and it is important to detect and setup appropriate actions to remove them. In this paper, we present a multi-criteria decision making (MCDM) technique based on DEMATEL with an adaptation of fuzzy logic to find important factors influencing implementation of e-commerce into insurance industry. The proposed study of this paper designs a questionnaire and distributes it among five important insurance experts. Findings indicate that “behavioral-cultural barriers” influence on structural and field barriers. “Problems resulted from obeying government complicated rules” in the group of structural barriers, “low capacity of accepting e-insurance” in field barriers group and “lack of sufficient support of insurance chief managers from e-insurance and relative tendency of insurance staffs to make the insurance affairs electronic” in behavioral-cultural barriers group have the most influence on other factors of group

A Study of the Entrepreneurial Success Index (ESI) in the Development of Industrial Plants Using MCDM Method

Abstrac

Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding

Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management

The Digital Transformation of Automotive Businesses: THREE ARTEFACTS TO SUPPORT DIGITAL SERVICE PROVISION AND INNOVATION

Digitalisation and increasing competitive pressure drive original equipment manufacturers (OEMs) to switch their focus towards the provision of digital services and open-up towards increased collaboration and customer integration. This shift implies a significant transformational change from product to product-service providers, where OEMs realign themselves within strategic, business and procedural dimensions. Thus, OEMs must manage digital transformation (DT) processes in order to stay competitive and remain adaptable to changing customer demands. However, OEMs aspiring to become participants or leaders in their domain, struggle to initiate activities as there is a lack of applicable instruments that can guide and support them during this process. Compared to the practical importance of DT, empirical studies are not comprehensive. This study proposes three artefacts, validated within case companies that intend to support automotive OEMs in digital service provisioning. Artefact one, a layered conceptual model for a digital automotive ecosystem, was developed by means of 26 expert interviews. It can serve as a useful instrument for decision makers to strategically plan and outline digital ecosystems. Artefact two is a conceptual reference framework for automotive service systems. The artefact was developed based on an extensive literature review, and the mapping of the business model canvas to the service system domain. The artefact intends to assist OEMs in the efficient conception of digital services under consideration of relevant stakeholders and the necessary infrastructures. Finally, artefact three proposes a methodology by which to transform software readiness assessment processes to fit into the agile software development approach with consideration of the existing operational infrastructure. Overall, the findings contribute to the empirical body of knowledge about the digital transformation of manufacturing industries. The results suggest value creation for digital automotive services occurs in networks among interdependent stakeholders in which customers play an integral role during the services’ life-cycle. The findings further indicate the artefacts as being useful instruments, however, success is dependent on the integration and collaboration of all contributing departments.:Table of Contents Bibliographic Description II Acknowledgment III Table of Contents IV List of Figures VI List of Tables VII List of Abbreviations VIII 1 Introduction 1 1.1 Motivation and Problem Statement 1 1.2 Objective and Research Questions 6 1.3 Research Methodology 7 1.4 Contributions 10 1.5 Outline 12 2 Background 13 2.1 From Interdependent Value Creation to Digital Ecosystems 13 2.1.1 Digitalisation Drives Collaboration 13 2.1.2 Pursuing an Ecosystem Strategy 13 2.1.3 Research Gaps and Strategy Formulation Obstacles 20 2.2 From Products to Product-Service Solutions 22 2.2.1 Digital Service Fulfilment Requires Co-Creational Networks 22 2.2.2 Enhancing Business Models with Digital Services 28 2.2.3 Research Gaps and Service Conception Obstacles 30 2.3 From Linear Development to Continuous Innovation 32 2.3.1 Digital Innovation Demands Digital Transformation 32 2.3.2 Assessing Digital Products 36 2.3.3 Research Gaps and Implementation Obstacles 38 3 Artefact 1: Digital Automotive Ecosystems 41 3.1 Meta Data 41 3.2 Summary 42 3.3 Designing a Layered Conceptual Model of a Digital Ecosystem 45 4 Artefact 2: Conceptual Reference Framework 79 4.1 Meta Data 79 4.2 Summary 80 4.3 On the Move Towards Customer-Centric Automotive Business Models 83 5 Artefact 3: Agile Software Readiness Assessment Procedures 121 5.1 Meta Data 121 5.2 Meta Data 122 5.3 Summary 123 5.4 Adding Agility to Software Readiness Assessment Procedures 126 5.5 Continuous Software Readiness Assessments for Agile Development 147 6 Conclusion and Future Work 158 6.1 Contributions 158 6.1.1 Strategic Dimension: Artefact 1 158 6.1.2 Business Dimension: Artefact 2 159 6.1.3 Process Dimension: Artefact 3 161 6.1.4 Synthesis of Contributions 163 6.2 Implications 167 6.2.1 Scientific Implications 167 6.2.2 Managerial Implications 168 6.2.3 Intelligent Parking Service Example (ParkSpotHelp) 171 6.3 Concluding Remarks 174 6.3.1 Threats to Validity 174 6.3.2 Outlook and Future Research Recommendations 174 Appendix VII Bibliography XX Wissenschaftlicher Werdegang XXXVII Selbständigkeitserklärung XXXVII

Case of Indonesia

학위논문(박사) -- 서울대학교대학원 : 공과대학 협동과정 기술경영·경제·정책전공, 2023. 2. 황준석.The rapid development of digital technology and the use of information in productive processes cause structural changes in the economy in the current situation of Industry 4.0. (Neves et al., 2020) As a result of digital transformation, smart cities emerge as a type of interaction among technological, organizational, and political innovations. Innovation in mobility and transportation as an effect of smart city development, like ride-hailing, car-sharing, car-pooling, Mobility as a Service, electric vehicles, autonomous vehicles, and so on, seems to be a panacea for mobility issues (J. Lee et al., 2020a). Unfortunately, most innovation is not supported by policy and regulation. The public transport authorities frequently may take less time to regulate to enable the smart mobility concept, and like many other public authorities, transport authorities' bureaucracy may slow down the penetration of mobility innovation (Kamargianni & Matyas, 2017a) The overpopulated city will face difficulties in providing adequate transportation in implementing smart mobility agenda, mainly because the lack of public transportation cannot be solved only by expanding the road and building new transportation infrastructure. This study aims to understand the smart mobility characteristic to facilitate a strategic goal in creating public value based on citizen expectations. The study focuses on the case of Indonesia. Two essays were conducted through an in-depth literature review to achieve this objective. The first essay investigated smart mobility characteristics and factors, where expert judgment and opinion were used to categorize the most important criteria. The result is to help government design a strategy to implement smart urban mobility in Indonesia's new capital. At the same time, the second essay focused on the citizen satisfaction expectations for smart mobility. Both results will combine to fill the gap between government and citizens expectations for future urban mobility in the new capital of Indonesia.디지털 테크놀로지의 급속한 발전과 생산적인 프로세스에서의 정보 사용은 산업 4.0의 현재 상황에서 경제의 구조적 변화를 야기합니다. (Neves 등, 2020) 디지털 전환의 결과로, 스마트 시티는 기술, 조직 및 정치적 혁신 사이의 상호작용의 한 형태로 나타납니다. 스마트 시티 개발의 효과로서 승차감, 카셰어링, 카풀링, 서비스로서의 모바일성, 전기차, 오토노마스 차량 등 이동성·교통의 혁신은 이동성 문제의 만병통치약으로 보인다. (J. Lee 등, 2020a) 불행히도 대부분의 혁신은 정책과 규제에 의해 뒷받침되지 않습니다. 대중교통 당국은 스마트 이동성 개념을 활성화하기 위해 규제하는 데 시간이 적게 걸릴 수 있으며, 다른 많은 공공 기관과 마찬가지로 교통 당국의 관료주의는 이동성 혁신의 보급을 지연시킬 수 있다. (카마르지안니 & 마티아스, 2017a) 인구과잉 도시는 스마트 모빌리티 어젠다를 이행하는 데 있어 적절한 교통수단을 제공하는 데 어려움을 겪을 것이다. 그 주된 이유는 도로를 확장하고 새로운 교통 인프라를 구축하는 것만으로 대중교통의 부족을 해결할 수 없기 때문이다. 본 연구는 스마트 모빌리티 특성을 파악하여 시민의 기대치를 바탕으로 공공 가치를 창출하는 전략적 목표를 촉진하는 것을 목적으로 한다. 이 연구는 인도네시아의 사례에 초점을 맞추고 있다. 이 목적을 달성하기 위해 두 편의 에세이가 심층적인 문헌 검토를 통해 수행되었다. 첫 번째 에세이에서는 스마트 모빌리티의 특성과 요인을 조사했으며, 전문가의 판단과 의견이 가장 중요한 기준을 분류하기 위해 사용되었다. 그 결과 정부는 인도네시아의 새로운 수도에서 스마트한 도시 이동성을 구현하기 위한 전략을 설계할 수 있게 되었다. 동시에, 두 번째 에세이는 스마트 모빌리티에 대한 시민 만족 기대에 초점을 맞췄다. 두 결과 모두 새로운 수도 인도네시아의 미래 도시 이동에 대한 정부와 시민들의 기대 차이를 메우기 위해 결합될 것이다.Chapter 1. Introduction 10 1.1 Research Background 10 1.2 Indonesia New Capital Feasibility 12 1.3 Problem Description 16 1.4 Research Objectives 20 1.5 Research Questions 20 1.6 Research Outline 21 1.7 Contribution 22 Chapter 2. Smart City Initiatives Trends and Future Urban Mobility: A Literature Review 25 2.1 Smart City Development 25 2.2 Smart City Concept 26 2.2.1 Smart City Definition 28 2.2.2 Smart City Initiatives Trends 33 2.3 Future Urban Mobility Concept 34 2.3.1 Pedestrian and Walkability 37 2.3.2 Parking Management System 39 2.3.3 Innovative Mobility Services 40 2.3.3.1 Mobility as a Service (MaaS) 40 2.3.3.2 Automated Mobility on Demand (AmoD) 43 2.4 Public Value and Citizen Engagement 45 Chapter 3. Investigating Characteristics and Factors of Smart Mobility Project 48 3.1 Introduction 48 3.2 Literature Review 50 3.3 Research Methodology 59 3.3.1 Methodology Approach 59 3.3.2 Analytical Hierarchy Process (AHP) 60 3.4 Data Collection 62 3.5 Smart Mobility Characteristics 66 3.5.1 Accessibility 66 3.5.2 ICT/Technology 67 3.5.3 Infrastructure Availability 69 3.5.4 Delivery Channel 70 3.6 Smart Mobility Factors 71 3.6.1 Political & Regulatory 71 3.6.2 Socio-Economic 72 3.6.3 Digital Divide 73 3.7 Analysis Results 74 3.7.1 Characteristics Analysis Result 74 3.7.1.1 Characteristics Main Criteria Analysis 74 3.7.1.2 Characteristics Sub-Criteria Analysis 75 3.7.2 Factor Analysis Result 78 3.7.2.1 Factor Main Criteria Analysis 79 3.7.2.2 Factor Sub-Criteria Analysis 79 3.8 Analysis Result Summary and Discussion 81 3.8.1 Analysis Result Summary 81 3.8.2 Discussion 82 Chapter 4. Investigating Citizen Satisfaction Expectation on Future Mobility:Case of Indonesia 85 4.1 Introduction 85 4.2 Model Establishment and Hypothesis Development 89 4.3 Citizen Satisfaction Expectation 94 4.4 Safety and Security 95 4.4.1 Transport & Transit Safety 96 4.4.2 Transport & Transit Security 97 4.5 Comfort & Convenience 97 4.5.1 Public Transport and Density 98 4.5.2 Accessibility 99 4.5.3 Social Equity 99 4.5.4 Information 100 4.5.5 Comfort and Amenities 100 4.6 Government and Citizen Engagement 101 4.6.1 Vision & Strategy 102 4.6.2 Citizen Participation 103 4.6.3 Government Service & Transparency 103 4.7 Research Methodology 104 4.7.1 Structural Equation Model (SEM) 105 4.7.2 Covariance-based SEM (CB-SEM) and Partial Least Square SEM (PLS-SEM) 105 4.8 Survey and Data 107 4.9 Analysis Result 109 4.9.1 Measurement Model – Lower Order Construct 109 4.9.2 Indicator Reliability 110 4.9.3 Collinearity 112 4.9.4 Reliability Analysis 114 4.9.5 Convergent Validity 115 4.9.6 Discriminant Validity 116 4.9.7 Validating Higher Construct 124 4.9.8 Bootstrapping 124 4.9.9 Structural Model 125 4.10 Analysis Result Summary and Discussion 128 Chapter 5. Discussion and Policy Implication 131 5.1 Discussion 131 5.1.1 Availability, Accessibility, and Equity 134 5.1.2 Political and Regulatory Factors 135 5.1.3 The Digital Divide and Citizen Engagement 136 5.2 Policy Implication 137 5.3 Limitation & Future Research 139 Bibliography 141 Appendix 1: Smart Mobility Characteristics Questionnaire 167 Appendix 2: Smart Mobility Factors Questionnaire 177 Appendix 3: Citizen Satisfaction Expectation Questionnaire 184 Abstract (Korean) 191박