Publication: Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS
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Springer Science and Business Media LLC
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AbstractIn this paper, public services are analyzed for implementations of Industry 4.0 tools to satisfy citizen expectations. To be able to prioritize public services for digitalization, fuzzy Z-AHP and fuzzy Z-WASPAS are used in the analysis. The decision criteria are determined as reduced cost, fast response, ease of accessibility, reduced service times, increase in the available information and increased quality. After obtaining criteria weights using fuzzy Z-AHP, health care services, waste disposal department, public transportation, information services, social care services, and citizen complaints resolution centers are compared using fuzzy Z-WASPAS that is proposed for the first time in this paper. Results show that health care services have dominant importance for the digitalization among public services.
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Fuzzy z-ahp, Prioritization, Artificial intelligence, Public services, Strategy and Management, Social Sciences, Solid Waste Management, Business, Management and Accounting, Multi-Criteria Decision Making, Management Science and Operations Research, Operations research, Industrial and Manufacturing Engineering, Decision Sciences, FOS: Economics and business, Engineering, Service (business), Conceptualizing the Circular Economy and Sustainable Supply Chains, Business, Marketing, Fuzzy z-waspas, Analytic hierarchy process, Digitalization, Computer science, Programming language, Fuzzy logic, Operations management, Fuzzy Sets, Implementation, Environmental Science, Physical Sciences, Process management