EXPLORATORY FACTOR ANALYSIS OF SMART CITY SERVICES IN THAILAND
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This research aimed to analyze the exploratory components of service factors in smart cities in Thailand. The sample group used in the research was 384 citizens aged 18 and over living in smart cities in Thailand who passed the criteria for smart cities in Thailand in all three dimensions: smart environment, smart economy, and smart living. The stratified sampling method was used to collect research data by distributing questionnaires and collecting them online. The data were analyzed using exploratory component analysis, extracting components using joint component analysis, principal axis subdivision technique, and orthogonal rotation of component axes using the varimax method. The results of the research found that most respondents had a bachelor's degree, accounting for 62.1 percent, and had lived in smart cities for more than 10 years, accounting for 67.8 percent. The components of service factors in smart cities in Thailand consisted of 3 main components: 1) Smart economy service factors, 2) Smart environment service factors, and 3) Smart living service factors. All three components can jointly explain 67.48% of the service factors of smart city service areas in Thailand. The government sector and those involved in determining smart city management policies can
use the research results to determine policies and plan smart city management in terms of economy. The environment and the livelihood of citizens. In addition, private organizations and agencies that provide services in smart cities can use the research results to present various smart city services that are in line with citizens' needs in order to lead to a smart city that uses citizens' happiness as the main goal of smart city management.
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