Detecting Themes Related to Public Concerns and Consumer Issues Regarding Personal Mobility

Xu, Li; Yeo, Harim; Hwang, Hyunsang

doi:10.1007/978-3-030-50726-8_21

Cited by 3 publications

(1 citation statement)

References 1 publication

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“…PMDs are transportation methods mainly carrying one or two people using electric power (Morimoto, 2012). There are several types of PMDs, such as e-scooters, e-bicycle, and e-wheelchairs, and these can also be called "smart mobility" or "micro-mobility" (Li et al, 2020).…”

Section: Personal Mobility Devicesmentioning

confidence: 99%

Factors affecting usage intention of PMDs in South Korea: S-O-R theory and the mediating effect

Lee

Yang

2023

Preprint

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This study investigates the factors that impact the intention to use personal mobility devices (PMDs) focusing on the role of perceived satisfaction and perceived trust in driving usage intention. A new research model was developed based on the stimulus-organism-response (S-O-R) theory to explore how stimuli, organisms, response factors, and two antecedents influence the intention to use PMDs. To gather data, we surveyed 444 current users and non-users of PMDs in South Korea and analyzed the results using partial least squares structural equation modeling and deep artificial neural networks. Perceived satisfaction and perceived trust have significant mediating effects on usage intention of PMDs. Additionally, the roles of stimulus factors and the two antecedents are confirmed, even though the significant relationships between a few factors for users and non-users are different. One crucial finding is the positive influence of government regulation on perceived risk factors. The results offer suggestions for PMD service providers about how to retain current users and attract non-users.

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Section: Personal Mobility Devicesmentioning

confidence: 99%

Factors affecting usage intention of PMDs in South Korea: S-O-R theory and the mediating effect

Lee

Yang

2023

Preprint

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Text Mining Analysis of User Reviews of Mobility Service

Yoo

Hwang

2023

Communications in Computer and Information Science

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Text Mining of Online News, Social Media, and Consumer Review on Artificial Intelligence Service

Xu¹,

Lim²,

Yeo³

et al. 2021

Fam. Environ. Res

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This study looked through the text mining analysis to check the status of the virtual assistant service, and explore the needs of consumers, and present consumer-oriented directions. Trendup 4.0 was used to analyze the keywords of AI services in Online News and social media from 2016 to 2020. The R program was used to collect consumer comment data and implement Topic Modeling analysis. According to the analysis, the number of mentions of AI services in mass media and social media has steadily increased. The Sentimental Analysis showed consumers were feeling positive about AI services in terms of useful and convenient functional and emotional aspects such as pleasure and interest. However, consumers were also experiencing complexity and difficulty with AI services and had concerns and fears about the use of AI services in the early stages of their introduction. The results of the consumer review analysis showed that there were topics(Technical Requirements) related to technology and the access process for the AI services to be provided, and topics (Consumer Request) expressed negative feelings about AI services, and topics(Consumer Life Support Area) about specific functions in the use of AI services. Text mining analysis enable this study to confirm consumer expectations or concerns about AI service, and to examine areas of service support that consumers experienced. The review data on each platform also revealed that the potential needs of consumers could be met by expanding the scope of support services and applying platform-specific strengths to provide differentiated services.

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Detecting Themes Related to Public Concerns and Consumer Issues Regarding Personal Mobility

Cited by 3 publications

References 1 publication

Factors affecting usage intention of PMDs in South Korea: S-O-R theory and the mediating effect

Factors affecting usage intention of PMDs in South Korea: S-O-R theory and the mediating effect

Text Mining Analysis of User Reviews of Mobility Service

Text Mining of Online News, Social Media, and Consumer Review on Artificial Intelligence Service

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