How to increase consumer intention to use Chatbots? An empirical analysis of hedonic and utilitarian motivations on social presence and the moderating effects of fear across generations

Dinh, Cong-Minh; Park, Sung-Jun

doi:10.1007/s10660-022-09662-5

Cited by 31 publications

(12 citation statements)

References 110 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another study used chatbots for consultations between students and nurses. 29,30 Chatbots provide information to reduce stress symptoms by providing information about self-therapy. However, other studies show that digital interventions cause students to become individualistic because they are carried out individually and there are no face-to-face meetings with other students.…”

Section: Introductionmentioning

confidence: 99%

Types of Digital-Based Nursing Interventions for Reducing Stress and Depression Symptoms on Adolescents During COVID-19 Pandemic: A Scoping Review

Yosep¹,

Hikmat²,

Mardhiyah³

2023

JMDH

View full text Add to dashboard Cite

COVID-19 pandemic can cause problems in adolescent mental health such as anxiety, depression, and stress. This is because the distance barrier becomes an obstacle in handling mental health in adolescents. The use of technology has the potential to deal with mental health problems. The purpose of this study was to describe the types of digital-based nursing interventions to reduce symptoms of stress and depression on adolescents during the COVID-19 pandemic. This study used the Scoping Review method. Literature from CINAHL, PubMed, and ProQuest databases. The keywords were adolescent, depression, stress, digital, application, and nursing intervention in English. The criteria for articles in this study were full-text articles, the sample of adolescents, digital-based intervention, articles are original research, and time setting 2018-2022. We found 11 articles discussing digital-based nursing interventions to reduce symptoms of stress and depression in adolescents. There are 2 types of intervention, namely mobile-based intervention, and web-based intervention. The two interventions can be combined to become a method of providing digital nursing interventions that are effective and can reach the entire community. Digital-based nursing interventions are carried out by paying attention to physical, psychological, spiritual, and cultural aspects to improve the goals of nursing care so that they can be significant in reducing stress and depression in adolescents during the Covid-19 pandemic. Digital-based nursing interventions consisting of mobilebased intervention and web-based intervention can improve mental health among adolescents by reducing stress, anxiety, depression, and increasing resilience, well-being, and self-efficacy.

show abstract

Section: Introductionmentioning

confidence: 99%

Types of Digital-Based Nursing Interventions for Reducing Stress and Depression Symptoms on Adolescents During COVID-19 Pandemic: A Scoping Review

Yosep¹,

Hikmat²,

Mardhiyah³

2023

JMDH

View full text Add to dashboard Cite

show abstract

“…The theoretical framework is based on previously published works (Chen et al, 2023;Oh et al, 2020;Ren, 2020). As there is currently a dearth of studies that explore the shift in retail performance due to the mediation of emerging technologies like AI and robotics, this work responds to the call for further research and empirical studies on intelligent automation in the retail sector by providing a conceptual model for the adoption of chatbots (Agag et al, 2020c;Dinh & Park, 2023). It helps fill in some of the blanks in the current literature on the use of chatbots in retail.…”

Section: Theoretical Contributionsmentioning

confidence: 95%

“…How simple and uncomplicated a consumer envisions a system to be is its perceived ease of use (PEU). As previously mentioned (Dinh & Park, 2023), prior experiential acquisition (PEU) is a precursor to behavioral intention to utilize technology associated with tourism. The study of app usage in tourism also indicated that PEU has no bearing on AIN (Mokmin & Ibrahim, 2021).…”

Section: Technological Anxietymentioning

confidence: 99%

Factors Affecting Consumers Adoption of AI-Based Chatbots: The Role of Anthropomorphism

Alboqami¹

2023

AJIBM

View full text Add to dashboard Cite

Previous studies paid more attention to factors affecting consumers intentions and behaviors to adopt IT in the retail industry; however, little attention has been paid to factors affecting consumer intentions to adopt chatbots in the retails industry. This study utilizes technology acceptance models to explore these factors. Quantitative approach method using online survey was adopted to collect data from consumers in Saudi Arabia retail industry. We collected data from 903 consumers and analyzed it using structural equation modeling technique. The findings indicated that perceived intelligence, perceived ease of use, and perceived usefulness have a significant positive influence on consumers intentions to adopt chatbots. It also indicated that technological anxiety has a negative influence on intentions. Our study indicated that anthropomorphism plays a moderating role on these relationships. Our study offers meaningful implications for retailers and marketer to develop their marketing plan and strategy.

show abstract

“…Liu et al (2023) Prior studies Instructors' attitudes and technological knowledge play a vital role in the adoption of chatbots in an educational context. Dinh and Park (2023) Mobile applicationbased chatbots service users Motivation-triggering features in mobile applications influence the adoption of chatbot services.…”

Section: Authors and Year Sample Main Findings Zhao Et Al (2023) User...mentioning

confidence: 99%

AI Chatbot Adoption in Academia: Task Fit, Usefulness and Collegial Ties

Soodan,

Rana,

Jain

et al. 2024

JITE:IIP

View full text Add to dashboard Cite

Aim/Purpose: This mixed-methods study aims to examine factors influencing academicians’ intentions to continue using AI-based chatbots by integrating the Task-Technology Fit (TTF) model and social network characteristics. Background: AI-powered chatbots are gaining popularity across industries, including academia. However, empirical research on academicians’ adoption behavior is limited. This study proposes an integrated model incorporating TTF factors and social network characteristics like density, homophily, and connectedness to understand academics’ continuance intentions. Methodology: A qualitative study involving 31 interviews of academics from India examined attitudes and the potential role of social network characteristics like density, homophily, and connectedness in adoption. Results showed positive sentiment towards chatbots and themes on how peer groups accelerate diffusion. In the second phase, a survey of 448 faculty members from prominent Indian universities was conducted to test the proposed research model. Contribution: The study proposes and validates an integrated model of TTF and social network factors that influence academics’ continued usage intentions toward AI chatbots. It highlights the nuanced role of peer networks in shaping adoption. Findings: Task and technology characteristics positively affected academics’ intentions to continue AI chatbot usage. Among network factors, density showed the strongest effect on TTF and perceived usefulness, while homophily and connectedness had partial effects. The study provides insights into designing appropriate AI tools for the academic context. Recommendations for Practitioners: AI chatbot designers should focus on aligning features to academics’ task needs and preferences. Compatibility with academic work culture is critical. Given peer network influences, training and demonstrations to user groups can enhance adoption. Platforms should have capabilities for collaborative use. Targeted messaging customized to disciplines can resonate better with academic subgroups. Multidisciplinary influencers should be engaged. Concerns like plagiarism risks, privacy, and job impacts should be transparently addressed. Recommendation for Researchers: More studies are needed across academic subfields to understand nuanced requirements and barriers. Further studies are recommended to investigate differences across disciplines and demographics, relative effects of specific network factors like size, proximity, and frequency of interaction, the role of academic leadership and institutional policies in enabling chatbot adoption, and how AI training biases impact usefulness perceptions and ethical issues. Impact on Society: Increased productivity in academia through the appropriate and ethical use of AI can enhance quality, access, and equity in education. AI can assist in mundane tasks, freeing academics’ time for higher-order objectives like critical thinking development. Responsible AI design and policies considering socio-cultural aspects will benefit sustainable growth. With careful implementation, it can make positive impacts on student engagement, learning support, and research efficiency. Future Research: Conduct longitudinal studies to examine the long-term impacts of AI chatbot usage in academia. Track usage behaviors over time as familiarity develops. Investigate differences across academic disciplines and roles. Requirements may vary for humanities versus STEM faculty or undergraduate versus graduate students. Assess user trust in AI and how it evolves with repeated usage, and examine trust-building strategies. Develop frameworks to assess pedagogical effectiveness and ethical risks of conversational agents in academic contexts.

show abstract

How to increase consumer intention to use Chatbots? An empirical analysis of hedonic and utilitarian motivations on social presence and the moderating effects of fear across generations

Cited by 31 publications

References 110 publications

Types of Digital-Based Nursing Interventions for Reducing Stress and Depression Symptoms on Adolescents During COVID-19 Pandemic: A Scoping Review

Types of Digital-Based Nursing Interventions for Reducing Stress and Depression Symptoms on Adolescents During COVID-19 Pandemic: A Scoping Review

Factors Affecting Consumers Adoption of AI-Based Chatbots: The Role of Anthropomorphism

AI Chatbot Adoption in Academia: Task Fit, Usefulness and Collegial Ties

Contact Info

Product

Resources

About