The Moderation Role of AI-Enabled Service Quality on the Attitude Toward Fitness Apps

Tseng, Hsiao-Ting; Lo, Chi-Fang; Chen, Chun-Chih

doi:10.4018/jgim.318694

Cited by 9 publications

(6 citation statements)

References 82 publications

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“…Users are more likely to adopt positive attitudes toward technologies if they find interaction with them enjoyable. For instance, research on AI-enabled fitness apps suggests that the perceived enjoyment derived from using these apps positively influences individuals’ attitudes towards them [ 44 ]. With regard to education field, an investigation encompassing 317 graduates and undergraduates showed that the perceived enjoyment positively influenced the attitudes towards the application of ICTs in higher education learning environments in Saudi Arabia [ 45 ].…”

Section: Literature Review and Hypothesismentioning

confidence: 99%

An empirical investigation of college students’ acceptance of translation technologies

Li,

Gao,

Liao

2024

PLoS ONE

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With the advancement of information technology and artificial intelligence, translation technologies have seen rapid development in language services and increasing integration in higher education. However, research on factors affecting students’ acceptance of these technologies remains limited. This study intends to formulate and test an extended Technology Acceptance Model (TAM) incorporating computer self-efficacy and perceived enjoyment to investigate students’ adoption of translation technologies. A questionnaire survey was conducted among 370 college students in China experienced with using translation technologies. The results from the structural equation modeling demonstrated a positive prediction on perceived ease of use and enjoyment from computer self-efficacy. Perceived enjoyment increased perceived ease of use and attitudes. Perceived ease of use positively influenced perceived usefulness and attitudes. Finally, attitudes positively predicted greater behavioral intentions to use translation technologies. However, computer self-efficacy was identified to have no significant effect on perceived usefulness. The study makes significant theoretical contributions by expanding TAM and offering practical guidance to improve students’ acceptance of translation technologies in tertiary education.

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Section: Literature Review and Hypothesismentioning

confidence: 99%

An empirical investigation of college students’ acceptance of translation technologies

Li,

Gao,

Liao

2024

PLoS ONE

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“…Measurement methods from the previous literature were adopted [42,53]; detailed information on the measurement items is provided in Table 2. The means of the construct reflected the consumers' perceptions of the construct: social equity (Mean = 3.737), perceived value (M = 3.471), identification (M = 3.927), design attributes (M = 4.093), shared attributes (M = 4.078), naturalness (M = 3.754), and safety (M = 3.897), as shown in Table 2.…”

Section: Descriptive Statisticsmentioning

confidence: 99%

“…A randomly selected subsample was used over 5000 iterations employing overlays to estimate the hypothesized relationships [51]. For the corresponding endogenous constructs, Stone-Geisser's Q 2 was used to assess the predictive relevance of the endogenous constructs [53]. The results indicated that the Q 2 values for identification (0.133) and acceptance (0.080) exceeded the recommended thresholds (>0) [52].…”

Section: Structural Modelmentioning

confidence: 99%

Exploring the Consumer Acceptance of Circular Housing from the Perspective of SOR Theory

Chen,

Lai,

Guo

et al. 2024

Sustainability

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The reconstruction of residences has led to an increase in the use of single-use materials in the construction industry. In the context of the circular economy, with the implementation of circular housing from a cradle-to-cradle perspective, the field of housing construction is changing rapidly. Innovation and sharing improve the consumer experience and increase consumers’ purchase intention. This research integrates design attributes, sharing attributes, perceived value, and affective value to study the impact of circular housing on acceptance and identification. The framework of SOR theory framework is used to analyze the predictive factors of consumer intention. The results emphasize that emotional responses in terms of affective value, perceived value, and social equity are the most prominent. This research also utilizes the KJ method. The research methods include a literature review, field observations, expert interviews, questionnaire surveys, and triangulation validation. Moreover, this research uses PLS-SEM to analyze the data of 568 participants. The structural analysis shows that consumers’ acceptance and identification of circular housing are strongly influenced by social equity. A total of 16 out of 17 hypotheses are established, with eight partial mediating effects, including the mediating role of social equity. Perceived value is found to affect consumers’ cognition and attitudes Perceived value and design attributes, as well as these factors combined, influence consumer acceptance and identification. This research provides strategies to enhance the design of circular housing and promote its development. This research explores the relationship between consumers’ acceptance and identification of circular design and the development of circular housing. It first establishes a structural model based on the SOR theory. Adding the mental map of interview results to the model, the results of this research analyzes the design attribute value, and the SEM-PLS analysis influences highlights the identification and acceptance of circular housing.

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“…The total experience a customer has with a store is based on their encounters with and views about the brand (Oh et al, 2012;Verhoef et al, 2009;Tseng et al, 2023). According to Ameen et al (2021), the application of AI technologies, such as machine learning, natural-language comprehension, and naturallanguage processing, may assist in analyzing consumer sentiment and feedback at scale, precision, and speed that humans cannot achieve.…”

Section: Artificial Intelligence-enabled Customer Experiencementioning

confidence: 99%

Exploring Determinants That Influence the Usage Intention of AI-Based Customer Services in the UAE

Almuraqab,

Jasimuddin,

Saci

2024

Journal of Global Information Management

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Artificial intelligence (AI) is revolutionizing the way customers interact with organizations and companies. There is a lack of research into AI-enabled customer experiences. Hence, this study aims to use the relevant literature to propose a conceptual framework for how the integration of AI in customer service can lead to an improved AI-enabled customer experience. Five propositions drawn from the reviewed literature present the main factors needed to ensure end users' acceptance of AI customer service in the United Arab Emirates (UAE). Our theoretical model extends the trust-commitment theory and service quality model, and incorporates perceived problem-solving ability, to address these factors and thereby guide the successful implementation of AI based customer service projects. The paper will help in understanding the key issues surrounding AI customer service applications that may support successful operations.

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The Moderation Role of AI-Enabled Service Quality on the Attitude Toward Fitness Apps

Cited by 9 publications

References 82 publications

An empirical investigation of college students’ acceptance of translation technologies

An empirical investigation of college students’ acceptance of translation technologies

Exploring the Consumer Acceptance of Circular Housing from the Perspective of SOR Theory

Exploring Determinants That Influence the Usage Intention of AI-Based Customer Services in the UAE

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