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Amoah J, Bankuoru Egala S, Keelson S, Bruce E, Dziwornu R, Agyemang Duah F. Driving factors to competitive sustainability of SMEs in the tourism sector: An introspective analysis. Cogent Business & Management 2023;10. [DOI: 10.1080/23311975.2022.2163796] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 02/05/2023] Open
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2
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Nutassey V, Agyei S, Frimpong S, Nokoe K. Introducing electronic transaction levy in Ghana: A possible curse or a blessing? The public’s perception. Cogent Economics & Finance 2023;11. [DOI: 10.1080/23322039.2023.2167361] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 01/18/2023] Open
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3
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Yeboah A. Innovation process model: An integration of innovation costs, benefits and core competence. Cogent Business & Management 2023;10. [DOI: 10.1080/23311975.2023.2176445] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/18/2023] Open
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4
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Jovanka DR, Habibi A, Mailizar M, Yaqin LN, Kusmawan U, Yaakob MFM, Tanu Wijaya T. Determinants of e-Learning Services: Indonesian Open University. Cogent Education 2023;10. [DOI: 10.1080/2331186x.2023.2183703] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/07/2023] Open
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5
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Jeon J. The impact of XR applications’ user experience-based design innovativeness on loyalty. Cogent Business & Management 2023;10. [DOI: 10.1080/23311975.2022.2161761] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 12/27/2022] Open
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6
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Ahmad G, Subhan M, Hayat F, Al-faryan MAS. Unravelling the truth: A bibliometric analysis of earnings management practices. Cogent Business & Management 2023;10. [DOI: 10.1080/23311975.2023.2194088] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/28/2023] Open
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7
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Phan Thanh H, Hoang Anh T. The mediating impact of airlines’ image in relation of corporate social responsibility and customers’ loyalty: An empirical in Vietnam. Cogent Business & Management 2023;10. [DOI: 10.1080/23311975.2023.2188641] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/11/2023] Open
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8
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Alhwaiti M. Acceptance of Artificial Intelligence Application in the Post-Covid Era and Its Impact on Faculty Members’ Occupational Well-being and Teaching Self Efficacy: A Path Analysis Using the UTAUT 2 Model. Appl Artif Intell 2023;37. [DOI: 10.1080/08839514.2023.2175110] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 02/24/2023]
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9
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Hwang S, Koo G. Art marketing in the metaverse world: Evidence from South Korea. Cogent Social Sciences 2023;9. [DOI: 10.1080/23311886.2023.2175429] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 02/18/2023] Open
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10
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Ngoc Ton HN, Shumshunnahar M, Nhat Tu TN, Nguyen PT. Revisiting social capital and knowledge sharing processes in tertiary education: Vietnamese and Bangladeshi students as target populations. Cogent Social Sciences 2023;9. [DOI: 10.1080/23311886.2023.2186579] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/08/2023] Open
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11
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Thamrin, Aditia R, Hutasuhut S. Key Factors to Foster Academic Performance in Online Learning Environment: Evidence From Indonesia During COVID-19 Pandemic. Cogent Education 2023;10. [DOI: 10.1080/2331186x.2023.2174726] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 02/18/2023] Open
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12
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Habes M, Elareshi M, Safori A, Ahmad AK, Al-rahmi W, Cifuentes-faura J. Understanding Arab social TV viewers’ perceptions of virtual reality acceptance. Cogent Social Sciences 2023;9. [DOI: 10.1080/23311886.2023.2180145] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 02/22/2023] Open
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13
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Pangarso A, Setyorini R. The drivers of E-learning satisfaction during the early COVID-19 pandemic: empirical evidence from an indonesian private university. Cogent Education 2023;10. [DOI: 10.1080/2331186x.2022.2149226] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 11/28/2022] Open
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14
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Abbasi A, Wan Ismail WK. Linking organizational citizenship behavior and organizational trust towards reducing workplace deviance behavior in higher education. Cogent Social Sciences 2023;9. [DOI: 10.1080/23311886.2022.2157538] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 12/29/2022] Open
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15
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Jandl C, Zafari S, Taurer F, Hartner-tiefenthaler M, Schlund S. Location-based monitoring in production environments: does transparency help to increase the acceptance of monitoring? Production & Manufacturing Research 2023;11. [DOI: 10.1080/21693277.2022.2160387] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 01/06/2023]
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16
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Ajina AS, Javed HMU, Ali S, Zamil AMA. Are men from mars, women from venus? Examining gender differences of consumers towards mobile-wallet adoption during pandemic. Cogent Business & Management 2023;10. [DOI: 10.1080/23311975.2023.2178093] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 02/22/2023] Open
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17
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Ismail IJ. Seeing through digitalization! The influence of entrepreneurial networks on market participation among smallholder farmers in Tanzania. The mediating role of digital technology. Cogent Food & Agriculture 2023;9. [DOI: 10.1080/23311932.2023.2171834] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 02/05/2023] Open
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18
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Mai NK, Do TT. The role of leadership and organizational learning in fostering high performance of tourism firms in Vietnam. Cogent Business & Management 2023;10. [DOI: 10.1080/23311975.2022.2164139] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 01/19/2023] Open
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19
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Pang Z, Ma X. What drives the vaccination intention against COVID-19? Application of EPPM, TAM, and theories of risk assessment. Hum Vaccin Immunother 2023;19:2180969. [PMID: 36919459 DOI: 10.1080/21645515.2023.2180969] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Indexed: 02/25/2023] Open
Abstract
Vaccines are widely used to fight against COVID-19. However, COVID-19 vaccine hesitancy appears as some individuals are concerned with COVID-19 vaccines. This study investigates the vaccination intention against COVID-19 in China with the Extended Parallel Process Model (EPPM), Technology Acceptance Model (TAM), and theories of risk information assessment. Results showed that the formation mechanism of vaccination intention could be considered a psychological process, as subjective knowledge was a primary influence on correspondents' weighting of both the potentially positive (usefulness) and negative effects (threat) of vaccination. This unequal consideration then resulted in different levels of fear arousal between subjects. Driven by usefulness/threat perception and fear, people conducted different decision strategies, so-called analytical assessment, and experiential assessment to make vaccination decision. In addition to the direct effects of experiential assessment on vaccination intention, two decision strategies and fear arousal also affected people's vaccination intention through the mediation role of vaccination attitude. For policymakers and stakeholders, this study provides a knowledge base for confidence-building, and emotional guidance concerning against COVID-19 vaccination.
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20
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Al-shari HA, Lokhande MA. The relationship between the risks of adopting FinTech in banks and their impact on the performance. Cogent Business & Management 2023;10. [DOI: 10.1080/23311975.2023.2174242] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 02/21/2023] Open
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21
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Khangembam V. Consumers choice of small independent specialty stores in shopping centers during weekday extended trading hours: A qualitative study. Cogent Business & Management 2023;10. [DOI: 10.1080/23311975.2023.2185071] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/07/2023] Open
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22
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Zhang Z, Li B, Liu L. The impact of AI-based conversational agent on the firms’ operational performance: Empirical evidence from a call center. Appl Artif Intell 2023;37. [DOI: 10.1080/08839514.2022.2157592] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 12/24/2022]
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23
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Qureshi F, Ellahi A, Javed Y, Rehman M, Rehman HM. Empirical investigation into impact of IT adoption on supply chain agility in fast food sector in Pakistan. Cogent Business & Management 2023;10. [DOI: 10.1080/23311975.2023.2170516] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/01/2023] Open
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24
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Mahlangu G, Makwasha L. Factors affecting the adoption and use of online assessment for learning at Polytechnics in Zimbabwe. Cogent Education 2023;10. [DOI: 10.1080/2331186x.2023.2177475] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 02/18/2023] Open
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25
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Li X, Li Q, Kim J. A Review Helpfulness Modeling Mechanism for Online E-commerce: Multi-Channel CNN End‑to‑End Approach. Appl Artif Intell 2023;37. [DOI: 10.1080/08839514.2023.2166226] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 01/15/2023]
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26
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Kiburu L, Njiraini N, Boso N. Social networks and consumer technology usage: A systematic literature review and future research directions. Cogent Business & Management 2023;10. [DOI: 10.1080/23311975.2022.2153487] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 01/11/2023] Open
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27
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U. Ohaja E, O. Ukonu M, Mbamalu M, Ezeanwu R. Covid-19 Information Protection: Between Information Privacy, Health Secrecy and Public Safety. Cogent Arts & Humanities 2023;10. [DOI: 10.1080/23311983.2023.2184463] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/07/2023] Open
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28
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Giskeødegård M, Kjersem K, Jahn N, Rost R. Tool or hassle?- Production workers evaluation of the potential of digital assistance systems on the shopfloor in shipbuilding projects. Cogent Engineering 2023;10. [DOI: 10.1080/23311916.2022.2161763] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 01/04/2023] Open
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29
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Cervelló-royo R, Devece C, Blanco-gonzález Tejero C. Economic freedom influences economic growth and unemployment: an analysis of the Eurozone. Economic Research-Ekonomska Istraživanja 2023;36. [DOI: 10.1080/1331677x.2023.2175007] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/17/2023] Open
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30
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Moldt JA, Festl-Wietek T, Madany Mamlouk A, Nieselt K, Fuhl W, Herrmann-Werner A. Chatbots for future docs: exploring medical students' attitudes and knowledge towards artificial intelligence and medical chatbots. Med Educ Online 2023;28:2182659. [PMID: 36855245 DOI: 10.1080/10872981.2023.2182659] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Figures] [Indexed: 03/02/2023] Open
Abstract
Artificial intelligence (AI) in medicine and digital assistance systems such as chatbots will play an increasingly important role in future doctor - patient communication. To benefit from the potential of this technical innovation and ensure optimal patient care, future physicians should be equipped with the appropriate skills. Accordingly, a suitable place for the management and adaptation of digital assistance systems must be found in the medical education curriculum. To determine the existing levels of knowledge of medical students about AI chatbots in particular in the healthcare setting, this study surveyed medical students of the University of Luebeck and the University Hospital of Tuebingen. Using standardized quantitative questionnaires and qualitative analysis of group discussions, the attitudes of medical students toward AI and chatbots in medicine were investigated. From this, relevant requirements for the future integration of AI into the medical curriculum could be identified. The aim was to establish a basic understanding of the opportunities, limitations, and risks, as well as potential areas of application of the technology. The participants (N = 12) were able to develop an understanding of how AI and chatbots will affect their future daily work. Although basic attitudes toward the use of AI were positive, the students also expressed concerns. There were high levels of agreement regarding the use of AI in administrative settings (83.3%) and research with health-related data (91.7%). However, participants expressed concerns that data protection may be insufficiently guaranteed (33.3%) and that they might be increasingly monitored at work in the future (58.3%). The evaluations indicated that future physicians want to engage more intensively with AI in medicine. In view of future developments, AI and data competencies should be taught in a structured way during the medical curriculum and integrated into curricular teaching.
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31
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Jiang S, Chen H, Wang X, Chen L, Luo B, Konge L, Du J, Huang H. A smartphone-based online platform for clinical skills training and assessment with standardized patients: platform development and pilot study outcomes. Med Educ Online 2023;28:2187954. [PMID: 36908080 DOI: 10.1080/10872981.2023.2187954] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Indexed: 03/14/2023] Open
Abstract
There are limitations and difficulties in the management of traditional in-person standardized patient (SP) practice. The latest developments in online communication tools and the COVID-19 pandemic have promoted the needs for online clinical skills training objectively. However, existing commercial online platforms may not meet the requests for SP-based medical simulation. This paper described the methodology applied to develop a smartphone-based online platform for the management of clinical skills training and assessment with remote SPs, and aimed to determine whether this new platform is acceptable or useful through a pilot run in September 2020. The post-run survey including questionnaire inspired by technological acceptance model and determinants of the perceived ease of use was used to assess the acceptability and usefulness of the platform. Twenty four-year students of clinical medicine participated in the pilot study with twenty SPs and ten faculties. Data from the post-run survey showed that there was a general recognition that the platform is easy to use among all the users. Two questions regarding the usefulness of the platform showed significant differences between the SPs/faculties and the students. More SPs found the platform useful as a training method than the students did. The faculties showed more attempts than the students to use this platform for clinical skills training in the future. This smartphone-based online platform was widely accepted among the tested students, SPs and faculties, which meets the requests and challenges of the new era. It provides an effective approach for clinical skills training and assessment with remote SPs.
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32
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Mchenry WK, Makarius EE. Understanding gamification experiences with the benefits dependency network lens. Computers and Education Open 2023;4:100123. [DOI: 10.1016/j.caeo.2023.100123] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 01/22/2023] Open
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33
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Namisango F, Kang K, Rehman J. Examining the relationship between sociomaterial practices enacted in the organizational use of social media and the emerging role of organizational generativity. International Journal of Information Management 2023;71:102643. [DOI: 10.1016/j.ijinfomgt.2023.102643] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/28/2023]
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34
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González-de-la-rosa M, Armas-cruz Y, Dorta-afonso D, García-rodríguez FJ. The impact of employee-oriented CSR on quality of life: Evidence from the hospitality industry. Tourism Management 2023;97:104740. [DOI: 10.1016/j.tourman.2023.104740] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 02/13/2023]
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35
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Milone FL, Gunter U, Zekan B. The pricing of European airbnb listings during the pandemic: A difference-in-differences approach employing COVID-19 response strategies as a continuous treatment. Tour Manag 2023;97:104738. [PMID: 36777288 DOI: 10.1016/j.tourman.2023.104738] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Figures] [Indexed: 02/08/2023]
Abstract
The COVID-19 pandemic has been a major shock to the global tourism industry. Given its peculiarity, this paper analyzes one of the most intriguing questions in the Airbnb literature - the pricing of Airbnb listings - by taking advantage of a difference-in-differences methodology that largely draws on variations in country-level policy responses to the pandemic. Relying on a dataset containing weekly information from 130,999 continuously active listings across 27 European countries from 2019 to 2020, this study first investigates the exogenous impact of response policies (proxied by the COVID-19 Stringency Index) on demand. Secondly, accounting for the endogeneity of both demand and prices, this research analyzes pricing responses to demand variations. Results show that: i) increases in the COVID-19 Stringency Index cause significant declines in Airbnb demand; ii) increases in demand cause, on average, increases in Airbnb prices; and iii) pricing strategies between commercial and private hosts differ substantially.
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Dwivedi YK, Kshetri N, Hughes L, Slade EL, Jeyaraj A, Kar AK, Baabdullah AM, Koohang A, Raghavan V, Ahuja M, Albanna H, Albashrawi MA, Al-busaidi AS, Balakrishnan J, Barlette Y, Basu S, Bose I, Brooks L, Buhalis D, Carter L, Chowdhury S, Crick T, Cunningham SW, Davies GH, Davison RM, Dé R, Dennehy D, Duan Y, Dubey R, Dwivedi R, Edwards JS, Flavián C, Gauld R, Grover V, Hu M, Janssen M, Jones P, Junglas I, Khorana S, Kraus S, Larsen KR, Latreille P, Laumer S, Malik FT, Mardani A, Mariani M, Mithas S, Mogaji E, Nord JH, O’connor S, Okumus F, Pagani M, Pandey N, Papagiannidis S, Pappas IO, Pathak N, Pries-heje J, Raman R, Rana NP, Rehm S, Ribeiro-navarrete S, Richter A, Rowe F, Sarker S, Stahl BC, Tiwari MK, van der Aalst W, Venkatesh V, Viglia G, Wade M, Walton P, Wirtz J, Wright R. “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management 2023;71:102642. [DOI: 10.1016/j.ijinfomgt.2023.102642] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/14/2023]
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37
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Yang F, Yang MM. Examining motivation of IT vendors to share knowledge with clients. International Journal of Information Management 2023;71:102646. [DOI: 10.1016/j.ijinfomgt.2023.102646] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/22/2023]
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38
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Shahzad K, Zhang Q, Zafar AU, Ashfaq M, Rehman SU. The role of blockchain-enabled traceability, task technology fit, and user self-efficacy in mobile food delivery applications. Journal of Retailing and Consumer Services 2023;73:103331. [DOI: 10.1016/j.jretconser.2023.103331] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/28/2023]
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39
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Zhang C, Chen J, Fu X. A multilevel analysis of adoption intention of travel information on social media: Evidence from China. Travel Behaviour and Society 2023;32:100582. [DOI: 10.1016/j.tbs.2023.100582] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/28/2023]
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40
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Song Y, Li Y, Zhu H, Li G. A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior. Journal of Retailing and Consumer Services 2023;73:103303. [DOI: 10.1016/j.jretconser.2023.103303] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 02/26/2023]
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41
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Zhao X, Yan D. Incorporating technological acceptance model into safety compliance of construction workers in Australia. Saf Sci 2023;163:106127. [DOI: 10.1016/j.ssci.2023.106127] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/06/2023]
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42
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Kwon S, Park A. Examining thematic and emotional differences across Twitter, Reddit, and YouTube: The case of COVID-19 vaccine side effects. Comput Human Behav 2023;144:107734. [PMID: 36942128 DOI: 10.1016/j.chb.2023.107734] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Indexed: 03/17/2023]
Abstract
Social media discourse has become a key data source for understanding the public's perception of, and sentiments during a public health crisis. However, given the different niches which platforms occupy in terms of information exchange, reliance on a single platform would provide an incomplete picture of public opinions. Based on the schema theory, this study suggests a 'social media platform schema' to indicate users' different expectations based on previous usages of platform and argues that a platform's distinct characteristics foster distinct platform schema and, in turn, distinct nature of information. We analyzed COVID-19 vaccine side effect-related discussions from Twitter, Reddit, and YouTube, each of which represents a different type of the platform, and found thematic and emotional differences across platforms. Thematic analysis using k-means clustering algorithm identified seven clusters in each platform. To computationally group and contrast thematic clusters across platforms, we employed modularity analysis using the Louvain algorithm to determine a semantic network structure based on themes. We also observed differences in emotional contexts across platforms. Theoretical and public health implications are then discussed.
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Barta S, Gurrea R, Flavián C. Consequences of consumer regret with online shopping. Journal of Retailing and Consumer Services 2023;73:103332. [DOI: 10.1016/j.jretconser.2023.103332] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/18/2023]
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44
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Kim MJ, Hall CM, Kim M. What is significant for engagement in cycling and walking in South Korea? Applying value-belief-norm theory. Travel Behaviour and Society 2023;32:100571. [DOI: 10.1016/j.tbs.2023.02.008] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 02/19/2023]
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45
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Hamzah MI, Ramli FAA, Shaw N. The moderating influence of brand image on consumers' adoption of QR-code e-wallets. Journal of Retailing and Consumer Services 2023;73:103326. [DOI: 10.1016/j.jretconser.2023.103326] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/16/2023]
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46
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Luo H, Meng X, Zhao Y, Cai M. Exploring the impact of sentiment on multi-dimensional information dissemination using COVID-19 data in China. Comput Human Behav 2023;144:107733. [PMID: 36910720 DOI: 10.1016/j.chb.2023.107733] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Indexed: 03/09/2023]
Abstract
The outbreak of information epidemic in crisis events, with the channel effect of social media, has brought severe challenges to global public health. Combining information, users and environment, understanding how emotional information spreads on social media plays a vital role in public opinion governance and affective comfort, preventing mass incidents and stabilizing the network order. Therefore, from the perspective of the information ecology and elaboration likelihood model (ELM), this study conducted a comparative analysis based on two large-scale datasets related to COVID-19 to explore the influence mechanism of sentiment on the forwarding volume, spreading depth and network influence of information dissemination. Based on machine learning and social network methods, topics, sentiments, and network variables are extracted from large-scale text data, and the dissemination characteristics and evolution rules of online public opinions in crisis events are further analyzed. The results show that negative sentiment positively affects the volume, depth, and influence compared with positive sentiment. In addition, information characteristics such as richness, authority, and topic influence moderate the relationship between sentiment and information dissemination. Therefore, the research can build a more comprehensive connection between the emotional reaction of network users and information dissemination and analyze the internal characteristics and evolution trend of online public opinion. Then it can help sentiment management and information release strategy when emergencies occur.
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Lei Y, Zhang G, Lu S, Qian J. Revealing the generation mechanism of cross-regional emergency cooperation during accidents and disasters rescue. Saf Sci 2023;163:106140. [DOI: 10.1016/j.ssci.2023.106140] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/18/2023]
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Gimenez J. Integrating multi-communication research and the business English class. English for Specific Purposes 2023;71:87-89. [DOI: 10.1016/j.esp.2023.02.008] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/19/2023]
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Leroy G, Tulu B, Liu X. Introduction to the Special Issue on Design and Data Science Research in Healthcare. ACM Trans Manage Inf Syst 2023;14:1-4. [DOI: 10.1145/3579646] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Indexed: 03/18/2023]
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Sharma V, Gupta M, Jangir K, Chopra P, Pathak N. The Impact of Post-Use Consumer Satisfaction on Smart Wearables Repurchase Intention in the Context of AI-Based Healthcare Information. Advances in Marketing, Customer Relationship Management, and E-Services 2023. [DOI: 10.4018/978-1-6684-8177-6.ch007] [Cited by in Crossref: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Indexed: 03/09/2023]
Abstract
In this chapter, using a combination of the expectation-confirmation theory (ECT) and the latent variable model, the authors have analyzed what factors contribute to one's intention to continue usage with conformation, performance expectancy, and satisfaction. Based on a sample of 678 smart wearable users, collected from Northern India, the authors have used structural equation modelling (Smart PLS4) and identified the impact of satisfaction post-adoption technology, willingness to pay a premium price, and health information accuracy on the continuing intention of smart wearable users. According to the findings, consumer satisfaction, health information accuracy, and willingness to pay the premium price are key variables that have a substantial impact on the long-term purpose to repurchase and use smart wearables. This study has many implications for smartwatch manufacturers and designers looking to increase users' intent to continue using their products.
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