Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 19.02.15 in Vol 17, No 2 (2015): February

This paper is in the following e-collection/theme issue:

Works citing "Integrating Health Belief Model and Technology Acceptance Model: An Investigation of Health-Related Internet Use"

Ashraf Sadat Ahadzadeh, Saeed Pahlevan Sharif, Fon Sim Ong, Kok Wei Khong

J Med Internet Res 2015 (Feb 19); 17(2):e45 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3564):

(note that this is only a small subset of citations)

  1. Cheung ML, Chau KY, Lam MHS, Tse G, Ho KY, Flint SW, Broom DR, Tso EKH, Lee KY. Examining Consumers’ Adoption of Wearable Healthcare Technology: The Role of Health Attributes. International Journal of Environmental Research and Public Health 2019;16(13):2257
    CrossRef
  2. Shang L, Zhou J, Zuo M. Understanding older adults' intention to share health information on social media: the role of health belief and information processing. Internet Research 2020;31(1):100
    CrossRef
  3. Booth K, Sundstrom B, DeMaria AL, Dempsey A. A qualitative analysis of postpartum contraceptive choice. Journal of Communication in Healthcare 2018;11(3):215
    CrossRef
  4. To W, Lee PKC, Lu J, Wang J, Yang Y, Yu Q. What Motivates Chinese Young Adults to Use mHealth?. Healthcare 2019;7(4):156
    CrossRef
  5. Pahlevan Sharif S, Ahadzadeh AS, Sharif Nia H. Mediating role of psychological well‐being in the relationship between organizational support and nurses’ outcomes: A cross‐sectional study. Journal of Advanced Nursing 2018;74(4):887
    CrossRef
  6. Chen M, Lin N. Incorporation of health consciousness into the technology readiness and acceptance model to predict app download and usage intentions. Internet Research 2018;28(2):351
    CrossRef
  7. Roettl J, Bidmon S, Terlutter R. What Predicts Patients’ Willingness to Undergo Online Treatment and Pay for Online Treatment? Results from a Web-Based Survey to Investigate the Changing Patient-Physician Relationship. Journal of Medical Internet Research 2016;18(2):e32
    CrossRef
  8. Jiang S, Liu J. Examining the relationship between Internet health information seeking and patient-centered communication in China: taking into account self-efficacy in medical decision-making. Chinese Journal of Communication 2020;13(4):407
    CrossRef
  9. Januraga PP, Izwardi D, Crosita Y, Indrayathi PA, Kurniasari E, Sutrisna A, Tumilowicz A. Qualitative evaluation of a social media campaign to improve healthy food habits among urban adolescent females in Indonesia. Public Health Nutrition 2021;24(S2):s98
    CrossRef
  10. . An empirical investigation of the adoption of mobile health applications: integrating big data and social media services. Health and Technology 2020;10(5):1063
    CrossRef
  11. van Velsen L, Evers M, Bara C, Op den Akker H, Boerema S, Hermens H. Understanding the Acceptance of an eHealth Technology in the Early Stages of Development: An End-User Walkthrough Approach and Two Case Studies. JMIR Formative Research 2018;2(1):e10474
    CrossRef
  12. Griebel L, Enwald H, Gilstad H, Pohl A, Moreland J, Sedlmayr M. eHealth literacy research—Quo vadis?. Informatics for Health and Social Care 2018;43(4):427
    CrossRef
  13. Asingizwe D, Poortvliet PM, Koenraadt CJ, Van Vliet AJ, Murindahabi MM, Ingabire C, Mutesa L, Feindt PH. Applying citizen science for malaria prevention in Rwanda: An integrated conceptual framework. NJAS: Wageningen Journal of Life Sciences 2018;86-87(1):111
    CrossRef
  14. Zhang D, Jin L, Liang D, Geng R, Liu Y, Ling Y, Jiang F, Zhang Y. Assessing Feasibility of an Early Childhood Intervention Using Mobile Phones Among Low-Income Mothers of Newborns: Qualitative Interview Study. JMIR Formative Research 2020;4(5):e17179
    CrossRef
  15. Brager J, Breitenstein SM, Miller H, Gross D. Low-Income Parents’ Perceptions of and Engagement With a Digital Behavioral Parent Training Program: A Mixed-Methods Study. Journal of the American Psychiatric Nurses Association 2021;27(1):33
    CrossRef
  16. . Attitudes, Perception and Preventive Behaviors for Health and Safety among College Students. Korean Journal of Health Promotion 2018;18(4):169
    CrossRef
  17. Vugts MAP, Joosen MCW, van Bergen AHMM, Vrijhoef HJM. Feasibility of Applied Gaming During Interdisciplinary Rehabilitation for Patients With Complex Chronic Pain and Fatigue Complaints: A Mixed-Methods Study. JMIR Serious Games 2016;4(1):e2
    CrossRef
  18. Wong MC, Huang J, Chan PS, Lok V, Leung C, Wang J, Cheung CS, Wong WN, Cheung NT, Ho CP, Yeoh EK. The Perceptions of and Factors Associated With the Adoption of the Electronic Health Record Sharing System Among Patients and Physicians: Cross-Sectional Survey. JMIR Medical Informatics 2020;8(5):e17452
    CrossRef
  19. Mason NF, Francis DB. Information-Seeking and Use of Primary Care Mental Health Services Among Gulf Coast Survivors of Natural Disasters. Disaster Medicine and Public Health Preparedness 2021;15(6):735
    CrossRef
  20. Ahadzadeh AS, Sharif SP. Uncertainty and Quality of Life in Women With Breast Cancer. Cancer Nursing 2018;41(6):484
    CrossRef
  21. Tao D, Wang T, Wang T, Zhang T, Zhang X, Qu X. A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies. Computers in Human Behavior 2020;104:106147
    CrossRef
  22. . Exploring the Usage Intentions of Wearable Medical Devices: A Demonstration Study. Interactive Journal of Medical Research 2020;9(3):e19776
    CrossRef
  23. Zhang L, Jung EH, Chen Z. Modeling the Pathway Linking Health Information Seeking to Psychological Well-Being on WeChat. Health Communication 2020;35(9):1101
    CrossRef
  24. Hsieh P, Lai H. Exploring people's intentions to use the health passbook in self-management: An extension of the technology acceptance and health behavior theoretical perspectives in health literacy. Technological Forecasting and Social Change 2020;161:120328
    CrossRef
  25. Nia HS, Goudarzian AH, Shahrokhi A, Boyle C, Wilson MSJ, Hosseinigolafshani SZ. Psychometric properties of End‐of‐Life Caregiving Experience Appraisal Scale: Iranian critical care nurses. Nursing in Critical Care 2020;25(5):269
    CrossRef
  26. Tavares J, Oliveira T. New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption: Cross-Sectional National Survey. Journal of Medical Internet Research 2018;20(11):e11032
    CrossRef
  27. Enaizan O, Zaidan AA, Alwi NHM, Zaidan BB, Alsalem MA, Albahri OS, Albahri AS. Electronic medical record systems: decision support examination framework for individual, security and privacy concerns using multi-perspective analysis. Health and Technology 2020;10(3):795
    CrossRef
  28. Zhang M, Luo M, Nie R, Zhang Y. Technical attributes, health attribute, consumer attributes and their roles in adoption intention of healthcare wearable technology. International Journal of Medical Informatics 2017;108:97
    CrossRef
  29. Luquis RR, Kensinger WS. Applying the Health Belief Model to assess prevention services among young adults. International Journal of Health Promotion and Education 2019;57(1):37
    CrossRef
  30. Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023
    CrossRef
  31. Ahadzadeh AS, Pahlevan Sharif S, Sim Ong F. Online health information seeking among women: the moderating role of health consciousness. Online Information Review 2018;42(1):58
    CrossRef
  32. Manika D, Gregory‐Smith D, Antonetti P. Pride in Technology‐Based Health Interventions: A Double‐Edged Sword. Psychology & Marketing 2017;34(4):410
    CrossRef
  33. Yaghoobzadeh A, Pahlevan Sharif S, Ong FS, Soundy A, Sharif Nia H, Moradi Bagloee M, Sarabi M, Goudarzian AH, Morshedi H. Cross-Cultural Adaptation and Psychometric Evaluation of the Herth Hope Index Within a Sample of Iranian Older Peoples. The International Journal of Aging and Human Development 2019;89(4):356
    CrossRef
  34. Brochu F, Robins S, Miner SA, Grunberg PH, Chan P, Lo K, Holzer HEG, Mahutte N, Ouhilal S, Tulandi T, Zelkowitz P. Searching the Internet for Infertility Information: A Survey of Patient Needs and Preferences. Journal of Medical Internet Research 2019;21(12):e15132
    CrossRef
  35. Salgado T, Tavares J, Oliveira T. Drivers of Mobile Health Acceptance and Use From the Patient Perspective: Survey Study and Quantitative Model Development. JMIR mHealth and uHealth 2020;8(7):e17588
    CrossRef
  36. Pahlevan Sharif S, Sharif Nia H, Lehto RH, Moradbeigi M, Naghavi N, Goudarzian AH, Yaghoobzadeh A, Nazari R. The Relationship Between Spirituality Dimensions and Death Anxiety among Iranian Veterans: Partial Least Squares Structural Equation Modeling Approach. Journal of Religion and Health 2021;60(2):999
    CrossRef
  37. Griebel L, Kolominsky-Rabas P, Schaller S, Siudyka J, Sierpinski R, Papapavlou D, Simeonidou A, Prokosch H, Sedlmayr M. Acceptance by laypersons and medical professionals of the personalized eHealth platform, eHealthMonitor. Informatics for Health and Social Care 2017;42(3):232
    CrossRef
  38. Pai RR, Alathur S. Determinants of individuals’ intention to use mobile health: insights from India. Transforming Government: People, Process and Policy 2019;13(3/4):306
    CrossRef
  39. Karahoca A, Karahoca D, Aksöz M. Examining intention to adopt to internet of things in healthcare technology products. Kybernetes 2018;47(4):742
    CrossRef
  40. Martínez-Alcalá CI, Rosales-Lagarde A, Hernández-Alonso E, Melchor-Agustin R, Rodriguez-Torres EE, Itzá-Ortiz BA. A Mobile App (iBeni) With a Neuropsychological Basis for Cognitive Stimulation for Elderly Adults: Pilot and Validation Study. JMIR Research Protocols 2018;7(8):e172
    CrossRef
  41. Yin R, Neyens DM. Online Health Resource Use by Individuals With Inflammatory Bowel Disease: Analysis Using the National Health Interview Survey. Journal of Medical Internet Research 2020;22(9):e15352
    CrossRef
  42. Tatara N, Kjøllesdal MKR, Mirkovic J, Andreassen HK. eHealth Use Among First-Generation Immigrants From Pakistan in the Oslo Area, Norway, With Focus on Diabetes: Survey Protocol. JMIR Research Protocols 2016;5(2):e79
    CrossRef
  43. Materia FT, Faasse K, Smyth JM. Understanding and Preventing Health Concerns About Emerging Mobile Health Technologies. JMIR mHealth and uHealth 2020;8(5):e14375
    CrossRef
  44. Edward K, Garvey L, Aziz Rahman M. Wearable activity trackers and health awareness: Nursing implications. International Journal of Nursing Sciences 2020;7(2):179
    CrossRef
  45. Tavares J, Oliveira T. Electronic Health Record Portal Adoption: a cross country analysis. BMC Medical Informatics and Decision Making 2017;17(1)
    CrossRef
  46. . How does patient-centered communication improve emotional health? An exploratory study in China. Asian Journal of Communication 2018;28(3):298
    CrossRef
  47. Silver RA, Subramaniam C, Stylianou A. The Impact of Portal Satisfaction on Portal Use and Health-Seeking Behavior: Structural Equation Analysis. Journal of Medical Internet Research 2020;22(3):e16260
    CrossRef
  48. Lupiáñez-Villanueva F, Folkvord F, Vanden Abeele M. Influence of the Business Revenue, Recommendation, and Provider Models on Mobile Health App Adoption: Three-Country Experimental Vignette Study. JMIR mHealth and uHealth 2020;8(6):e17272
    CrossRef
  49. Ali R, Zhang Z, Bux Soomro M. Smoking-cessation acceptance via mobile health. Human Systems Management 2019;38(3):313
    CrossRef
  50. Rosenberg D, Mano R, Mesch GS. Absolute monopoly, areas of control or democracy? Examining gender differences in health participation on social media. Computers in Human Behavior 2020;102:166
    CrossRef
  51. Shahsavari H, Bakhshi F, Khosravi A, Najafi Z, Ghorbani A. Perceived professional preparedness of senior nursing students' questionnaire: Development and psychometric evaluation. Nurse Education Today 2020;93:104533
    CrossRef
  52. C.C. S, Prathap SK. Continuance adoption of mobile-based payments in Covid-19 context: an integrated framework of health belief model and expectation confirmation model. International Journal of Pervasive Computing and Communications 2020;16(4):351
    CrossRef
  53. Wang X, Liu Y, Liu H. Examining Users’ Adoption of Precision Medicine: The Moderating Role of Medical Technical Knowledge. International Journal of Environmental Research and Public Health 2020;17(3):1113
    CrossRef
  54. Firouzbakht M, Tirgar A, Ebadi A, Sharif Nia H, Oksanen T, Kouvonen A, Esmaeil Riahi M. Psychometric Properties of Persian Version of the Short-Form Workplace Social Capital Questionnaire for Female Health Workers. The International Journal of Occupational and Environmental Medicine 2018;9(4):184
    CrossRef
  55. Guidry JPD, Meganck SL, Lovari A, Messner M, Medina-Messner V, Sherman S, Adams J. Tweeting about #Diseases and #Publichealth: Communicating Global Health Issues across Nations. Health Communication 2020;35(9):1137
    CrossRef
  56. Tavares J, Oliveira T. Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey. Journal of Medical Internet Research 2016;18(3):e49
    CrossRef
  57. Ye T, Xue J, He M, Gu J, Lin H, Xu B, Cheng Y. Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(10):e14316
    CrossRef
  58. YUNGWOOKKIM , Haein Kim , Hyeonji Moon , 이하나 . A Study on Usage Effect and Acceptance Factors of a Particulate Matter Application (App). Journal of Public Relations 2017;21(4):114
    CrossRef
  59. Beh PK, Ganesan Y, Iranmanesh M, Foroughi B. Using smartwatches for fitness and health monitoring: the UTAUT2 combined with threat appraisal as moderators. Behaviour & Information Technology 2021;40(3):282
    CrossRef
  60. Wang W, van Lint CL, Brinkman W, Rövekamp TJM, van Dijk S, van der Boog PJM, Neerincx MA. Renal transplant patient acceptance of a self-management support system. BMC Medical Informatics and Decision Making 2017;17(1)
    CrossRef
  61. Jiang S, Street RL. Pathway Linking Internet Health Information Seeking to Better Health: A Moderated Mediation Study. Health Communication 2017;32(8):1024
    CrossRef
  62. Kouton J, Bétila RR, Lawin M. The Impact of ICT Development on Health Outcomes in Africa: Does Economic Freedom Matter?. Journal of the Knowledge Economy 2021;12(4):1830
    CrossRef
  63. Li D, Hu Y, Pfaff H, Wang L, Deng L, Lu C, Xia S, Cheng S, Zhu X, Wu X. Determinants of Patients’ Intention to Use the Online Inquiry Services Provided by Internet Hospitals: Empirical Evidence From China. Journal of Medical Internet Research 2020;22(10):e22716
    CrossRef
  64. Alhusseini N, Banta JE, Oh J, Montgomery S. Understanding the Use of Electronic Means to Seek Personal Health Information Among Adults in the United States. Cureus 2020;
    CrossRef
  65. . Mobile Health Apps and Health Management Behaviors: Cost-Benefit Modeling Analysis. JMIR Human Factors 2021;8(2):e21251
    CrossRef
  66. Rahmatpour P, Peyrovi H, Sharif Nia H. Development and psychometric evaluation of postgraduate nursing student academic satisfaction scale. Nursing Open 2021;8(3):1145
    CrossRef
  67. Enaizan O, Eneizan B, Almaaitah M, Al-Radaideh AT, Saleh AM. Effects of privacy and security on the acceptance and usage of EMR: The mediating role of trust on the basis of multiple perspectives. Informatics in Medicine Unlocked 2020;21:100450
    CrossRef
  68. Hossain MS, Kannan SN, Raman Nair SKK. Factors Influencing Sustainable Competitive Advantage in the Hospitality Industry. Journal of Quality Assurance in Hospitality & Tourism 2021;22(6):679
    CrossRef
  69. Kim TB, Ho CB. Validating the moderating role of age in multi-perspective acceptance model of wearable healthcare technology. Telematics and Informatics 2021;61:101603
    CrossRef
  70. Li Z, Wang Y, Tai S, Wang J, Huang Y, Jiang W, Zhang H. APP Medical Diagnostic Check-up Consultation System Based on Speech Recognition. Current Bioinformatics 2020;15(5):408
    CrossRef
  71. Sharif Nia H, Rahmatpour P, Khoshnavay Fomani F, Arslan G, Kaveh O, Pahlevan Sharif S, Kaur H. Psychometric evaluation of Persian version of the balanced measure of psychological needs scale among university students. Nursing Open 2021;8(5):2784
    CrossRef
  72. Han Y, Jiang B, Guo R. Factors Affecting Public Adoption of COVID-19 Prevention and Treatment Information During an Infodemic: Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(3):e23097
    CrossRef
  73. Zhou X, Krishnan A, Dincelli E. Examining user engagement and use of fitness tracking technology through the lens of technology affordances. Behaviour & Information Technology 2022;41(9):2018
    CrossRef
  74. Sharif Nia H, Firouzbakht M, Rekabpour S, Nabavian M, Nikpour M. The psychometric properties of the Persian version of the body image after breast Cancer questionnaire: A second- order confirmatory factor analysis. Current Psychology 2023;42(5):3924
    CrossRef
  75. Pu B, Du F, Zhang L, Qiu Y. Subjective knowledge and health consciousness influences on health tourism intention after the COVID-19 pandemic: A prospective study. Journal of Psychology in Africa 2021;31(2):131
    CrossRef
  76. Yoo S, Shin G, Kim S. Does Mukbang Watching Really Affect Obesity? : Focusing on the Factors Related to Health and Mukbang Watching. Korean Journal of Journalism & Communication Studies 2021;65(2):205
    CrossRef
  77. Daragmeh A, Sági J, Zéman Z. Continuous Intention to Use E-Wallet in the Context of the COVID-19 Pandemic: Integrating the Health Belief Model (HBM) and Technology Continuous Theory (TCT). Journal of Open Innovation: Technology, Market, and Complexity 2021;7(2):132
    CrossRef
  78. Barua Z, Barua A. Acceptance and usage of mHealth technologies amid COVID-19 pandemic in a developing country: the UTAUT combined with situational constraint and health consciousness. Journal of Enabling Technologies 2021;15(1):1
    CrossRef
  79. Huang Y, Trinh MT, Le T. Critical Factors Affecting Intention of Use of Augmented Hearing Protection Technology in Construction. Journal of Construction Engineering and Management 2021;147(8)
    CrossRef
  80. Ordaz OH, Croff RL, Robinson LD, Shea SA, Bowles NP. Optimization of Primary Care Among Black Americans Using Patient Portals: Qualitative Study. Journal of Medical Internet Research 2021;23(6):e27820
    CrossRef
  81. . Ethnic Differences in Health Information Seeking Behavior: A Test and the Extension of the Social Diversification Hypothesis. Journal of Consumer Health on the Internet 2021;25(2):115
    CrossRef
  82. Ahadzadeh AS, Wu SL, Ong FS, Deng R. The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study. Journal of Medical Internet Research 2021;23(12):e28086
    CrossRef
  83. Banaei M, Kariman N, Ozgoli G, Sharif Nia H, Nasiri M. Psychometric properties of vaginal penetration cognition questionnaire (VPCQ) in Iranian women with sexual pain disorders. Nursing Open 2022;9(6):2739
    CrossRef
  84. Fussell SG, Truong D. Using virtual reality for dynamic learning: an extended technology acceptance model. Virtual Reality 2022;26(1):249
    CrossRef
  85. Boyce L, Harun A, Prybutok G, Prybutok VR. Exploring the factors in information seeking behavior: a perspective from multinational COPD online forums. Health Promotion International 2021;
    CrossRef
  86. Sharif Nia H, Kaur H, Fomani FK, Rahmatpour P, Kaveh O, Pahlevan Sharif S, Venugopal AV, Hosseini L. Psychometric Properties of the Impact of Events Scale-Revised (IES-R) Among General Iranian Population During the COVID-19 Pandemic. Frontiers in Psychiatry 2021;12
    CrossRef
  87. Spohrer K, Fallon M, Hoehle H, Heinzl A. Designing Effective Mobile Health Apps: Does Combining Behavior Change Techniques Really Create Synergies?. Journal of Management Information Systems 2021;38(2):517
    CrossRef
  88. Spaulding A, Loomis E, Brennan E, Klein D, Pierson K, Willford R, Hallbeck MS, Reisenauer J. Postsurgical Remote Patient Monitoring Outcomes and Perceptions: A Mixed-Methods Assessment. Mayo Clinic Proceedings: Innovations, Quality & Outcomes 2022;6(6):574
    CrossRef
  89. Acharya D, Devkota B, Kreps GL. Does perceived susceptibility and severity of health problems serve as drivers for household enrolment in health insurance? A case study from Nepal. The International Journal of Health Planning and Management 2022;37(2):839
    CrossRef
  90. Zhang L, Chung S, Shi W, Candelaria D, Gallagher R. Online Health Information-Seeking Behaviours and eHealth Literacy among First-Generation Chinese Immigrants. International Journal of Environmental Research and Public Health 2023;20(4):3474
    CrossRef
  91. Annan E, Guo J, Angulo-Molina A, Yaacob WFW, Aghamohammadi N, C. Guetterman T, Yavaşoglu S, Bardosh K, Dom NC, Zhao B, Lopez-Lemus UA, Khan L, Nguyen UD, Haque U. Community acceptability of dengue fever surveillance using unmanned aerial vehicles: A cross-sectional study in Malaysia, Mexico, and Turkey. Travel Medicine and Infectious Disease 2022;49:102360
    CrossRef
  92. Burton O, Rawstorne P, Watchirs-Smith L, Nathan S, Carter A. Teaching sexual consent to young people in education settings: a narrative systematic review. Sex Education 2023;23(1):18
    CrossRef
  93. Liu T, Lin TT, Hsu S. Continuance Usage Intention toward E-Payment during the COVID-19 Pandemic from the Financial Sustainable Development Perspective Using Perceived Usefulness and Electronic Word of Mouth as Mediators. Sustainability 2022;14(13):7775
    CrossRef
  94. Baines A, Seo H, Ittefaq M, Shayesteh F, Kamanga U, Liu Y. Race/ethnicity, online information and COVID-19 vaccination: Study of minority immigrants’ internet use for health-related information. Convergence: The International Journal of Research into New Media Technologies 2023;29(2):268
    CrossRef
  95. DEVECİ FG, YILDIZ T. Health-Seeking Consumer: Cognitive Dissonance Encountered After Panic Buying. Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 2022;24(2):730
    CrossRef
  96. Chang I, Shih Y, Kuo K. Why would you use medical chatbots? interview and survey. International Journal of Medical Informatics 2022;165:104827
    CrossRef
  97. Rehman IH, Ahmad A, Akhter F, Aljarallah A. A Dual-Stage SEM-ANN Analysis to Explore Consumer Adoption of Smart Wearable Healthcare Devices. Journal of Global Information Management 2022;29(6):1
    CrossRef
  98. Raman P, Aashish K. Influence of COVID-19 pandemic on the intention to adopt mobile payment systems in India. Qualitative Market Research: An International Journal 2023;26(4):368
    CrossRef
  99. Rahmatpour P, Nia HS, Farahani MA, Allen KA. Translation and Psychometric Evaluation of the Undergraduate Nursing Student Academic Satisfaction Scale. Journal of Nursing Measurement 2022;30(2):222
    CrossRef
  100. Aigbogun O, Matinari M, Fawehinmi O. Exploring predictors of e-marketing continuance intention in the Zimbabwean pharmaceutical industry during the COVID-19 pandemic. African Journal of Economic and Management Studies 2023;14(3):379
    CrossRef
  101. Chang HH, Wong KH, Hung CR. Health Beliefs and Social Support Related to Anxiety about Electronic Health Record Systems: A Patient Visit Survey (Preprint). JMIR Formative Research 2021;
    CrossRef
  102. Rosenberg D, Mano R, Mesch GS. Health information seeking on social media: the diversification approach. Equality, Diversity and Inclusion: An International Journal 2023;42(3):364
    CrossRef
  103. . General Health Statuses as Indicators of Digital Inequality and the Moderating Effects of Age and Education: Cross-sectional Study. Journal of Medical Internet Research 2022;24(10):e37845
    CrossRef
  104. Wang YA, Chang V, Cross AR, Xu QA, Yu S. Towards Perceived Playfulness and Adoption of Hearables in Smart Cities of China. Journal of Global Information Management 2022;30(1):1
    CrossRef
  105. . Integrative adoption model for personal health records: A structural equation modeling approach. International Journal of ADVANCED AND APPLIED SCIENCES 2022;9(1):117
    CrossRef
  106. Chang C, Yang F, Feng GC. How Gender Stereotypes Impact Health Information Seeking Intention: Insights from an Implicit Association Test. Cogent Social Sciences 2021;7(1)
    CrossRef
  107. Kurniawan AH, Yusmaniar , Safitri , Nur A. Effects of health supplement self-medication learning media on health student behaviours during the COVID-19 pandemic. Pharmacy Education 2022;22(2):30
    CrossRef
  108. Zhu Y, Lu Y, Gupta S, Wang J, Hu P. Promoting smart wearable devices in the health-AI market: the role of health consciousness and privacy protection. Journal of Research in Interactive Marketing 2023;17(2):257
    CrossRef
  109. Abumalloh RA, Asadi S, Nilashi M, Minaei-Bidgoli B, Nayer FK, Samad S, Mohd S, Ibrahim O. The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education. Technology in Society 2021;67:101728
    CrossRef
  110. Czerwińska M, Bojar E. Model akceptacji internetowych informacji zdrowotnych przez przedstawicieli pokolenia Z - wyniki badań pilotażowych. Przegląd Organizacji 2021;:31
    CrossRef
  111. Viana Pereira F, Tavares J, Oliveira T. Adoption of video consultations during the COVID-19 pandemic. Internet Interventions 2023;31:100602
    CrossRef
  112. Yuen KF, Koh LY, Tan LYH, Wang X. The determinants of virtual reality adoption for marine conservation. Technology in Society 2023;72:102170
    CrossRef
  113. . The impact of motivations, health beliefs, and basic human needs on mobile self-management: an extension of the self-determination theory perspective. Behaviour & Information Technology 2023;42(8):1045
    CrossRef
  114. ALHazim SS, Al-Otaibi ST, Herzallah NH. Knowledge, Attitudes, and Practices Regarding Ergonomic Hazards Among Healthcare Workers in a Saudi Government Hospital. Journal of Multidisciplinary Healthcare 2022;Volume 15:1771
    CrossRef
  115. Sharif Nia H, Janković S, Hanifi N, Martino T. Psychometric Properties of the Persian Version of Fear of Hospitalization Scale in Patients Undergoing Emergency Surgery. Perspectives in Psychiatric Care 2023;2023:1
    CrossRef
  116. Sharif Nia H, She L, Rasiah R, Khoshnavay Fomani F, Kaveh O, Pahlevan Sharif S, Hosseini L. Psychometrics of Persian Version of the Ageism Survey Among an Iranian Older Adult Population During COVID-19 Pandemic. Frontiers in Public Health 2021;9
    CrossRef
  117. Sarini M, Actis Grosso R, Magrin M, Mari S, Olivero N, Paganin G, Simbula S. A Cluster Analysis of the Acceptance of a Contact Tracing App—The Identification of Profiles for the Italian Immuni Contact Tracing App. Healthcare 2022;10(5):888
    CrossRef
  118. Malik A, Islam T, Ahmad M, Mahmood K. Health information seeking and sharing behavior of young adults on social media in Pakistan. Journal of Librarianship and Information Science 2023;55(3):579
    CrossRef
  119. Honggo F, Handayani PW, Azzahro F. The antecedents of intention to use immunization information systems and usage behavior. Informatics in Medicine Unlocked 2022;34:101107
    CrossRef
  120. Alwreikat A, Shehata A, Edakar MAM. Arab women feelings while seeking information during COVID-19 pandemic: applying PMT constructs. Online Information Review 2022;46(3):525
    CrossRef
  121. Lee T, Jarupreechachan W, Tseng Y. Exploring low-income migrant workers’ health information-seeking behavior during COVID-19 in Taiwan: A qualitative study. DIGITAL HEALTH 2022;8:205520762211337
    CrossRef
  122. Liu Y, Yan W, Hu B, Li Z, Lai YL. Effects of personalization and source expertise on users’ health beliefs and usage intention toward health chatbots: Evidence from an online experiment. DIGITAL HEALTH 2022;8:205520762211297
    CrossRef
  123. Zhao YC, Zhao M, Song S. Online Health Information Seeking Among Patients With Chronic Conditions: Integrating the Health Belief Model and Social Support Theory. Journal of Medical Internet Research 2022;24(11):e42447
    CrossRef
  124. Vrinten J, Van Royen K, Pabian S, De Backer C, Matthys C. Motivations for nutrition information-seeking behavior among Belgian adults: a qualitative study. BMC Public Health 2022;22(1)
    CrossRef
  125. Lin-Hi N, Haensse L, Hollands L, Blumberg I. The role of ethics in technology acceptance: analysing resistance to new health technologies on the example of a COVID-19 contact-tracing app. Journal of Decision Systems 2024;33(1):164
    CrossRef
  126. Dutta A, Kovid RK, Thatha M, Gupta J. Adoption of IoT-based healthcare devices: An empirical study of end consumers in an emerging economy. Paladyn, Journal of Behavioral Robotics 2023;14(1)
    CrossRef
  127. AlQudah AA, Al-Emran M, Shaalan K. Technology Acceptance in Healthcare: A Systematic Review. Applied Sciences 2021;11(22):10537
    CrossRef
  128. Lee J, Lim JM. Factors Associated With the Experience of Cognitive Training Apps for the Prevention of Dementia: Cross-sectional Study Using an Extended Health Belief Model. Journal of Medical Internet Research 2022;24(1):e31664
    CrossRef
  129. 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(1)
    CrossRef
  130. . Adoption of Covid-19 contact tracing app by extending UTAUT theory: Perceived disease threat as moderator. Health Policy and Technology 2022;11(3):100651
    CrossRef
  131. Elsotouhy MM, Ghonim MA, Alasker TH, Khashan MA. Investigating Health and Fitness App Users’ Stickiness, WOM, and Continuance Intention Using S-O-R Model: The Moderating Role of Health Consciousness. International Journal of Human–Computer Interaction 2024;40(5):1235
    CrossRef
  132. AVCILAR MY, AÇAR MF, KARACA B. COVID-19 Pandemisinden Algılanan Ciddiyet Düzeyinin Boş Zaman Faaliyetlerine Katılım, Algılanan Boş Zaman Memnuniyeti ve Öznel İyi Oluş Üzerindeki Koşullu Etkilerinin Tespiti. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi 2022;17(3):607
    CrossRef
  133. Yoo JW, Park JS, Park HJ. Understanding VR-Based Construction Safety Training Effectiveness: The Role of Telepresence, Risk Perception, and Training Satisfaction. Applied Sciences 2023;13(2):1135
    CrossRef
  134. Hasan N, Bao Y, Chiong R. A multi-method analytical approach to predicting young adults’ intention to invest in mHealth during the COVID-19 pandemic. Telematics and Informatics 2022;68:101765
    CrossRef
  135. Ramadhani A, Zettira Z, Rachmawati YL, Hariyani N, Maharani DA. Quality and Reliability of Halitosis Videos on YouTube as a Source of Information. Dentistry Journal 2021;9(10):120
    CrossRef
  136. Richardson JP, Curtis S, Smith C, Pacyna J, Zhu X, Barry B, Sharp RR. A framework for examining patient attitudes regarding applications of artificial intelligence in healthcare. DIGITAL HEALTH 2022;8:205520762210890
    CrossRef
  137. Elkefi S, Layeb S. Telemedicine’s future in the post-Covid-19 era, benefits, and challenges: a mixed-method cross-sectional study. Behaviour & Information Technology 2023;42(15):2639
    CrossRef
  138. Wang D, Lu J, Zhong Y. Futile or fertile? The effect of persuasive strategies on citizen engagement in COVID-19 vaccine-related tweets across six national health departments. Social Science & Medicine 2023;317:115591
    CrossRef
  139. Gunasekara NP, Fernando WMN, Karunarathne E. Online health information-seeking behaviour: an empirical study of managerial-level employees in Sri Lanka. International Journal of Pharmaceutical and Healthcare Marketing 2022;16(4):490
    CrossRef
  140. Zhu W, Zou H, Song Y, Ren L, Xu Y. Understanding the impact process of vaccine adoption for COVID-19. Human Vaccines & Immunotherapeutics 2022;18(6)
    CrossRef
  141. Post E, Faurot K, Kadro ZO, Hill J, Nguyen C, Asher GN, Gaylord S, Corbett A. Patient Perspectives on the Development of a Novel Mobile Health (mHealth) Application for Dietary Supplement Tracking and Reconciliation—A Qualitative Focus Group Study. Global Advances in Health and Medicine 2022;11:216495612210752
    CrossRef
  142. Oh S, Lee C, Park A. Trust Matters: The Effects of Social Media Use on the Public’s Health Policy Support Through (mis)beliefs in the Context of HPV Vaccination. Health Communication 2023;38(12):2628
    CrossRef
  143. Hasan MK, Saxena D, Rubaiat Y, Ahamed SI, Guha S. Design Recommendations towards Developing a Smartphone-Based Point-of-Care Tool for Rural Bangladeshi Users. International Journal of Human–Computer Interaction 2024;40(4):965
    CrossRef
  144. Goel P, Garg A, Sharma A, Rana NP. I won't touch money because it is dirty: examining customer's loyalty toward M-payment. International Journal of Bank Marketing 2022;40(5):992
    CrossRef
  145. Yarmohammadi S, Ghaffari M, Mehrabi Y, Mousavi S, Ramezankhani A. Designing and psychometric assessment of the scale of factors influencing HPV vaccine uptake behaviors in young adults. Infectious Agents and Cancer 2022;17(1)
    CrossRef
  146. Sarkandi G, Arbabpour Bidgoli M, Khademi N, Sharmeen F. Modeling and Analysis of the Continuance Usage Intention Toward Bike-Sharing System: A Coupled Study on the Impact of the COVID-19 Pandemic. SSRN Electronic Journal 2023;
    CrossRef
  147. Su Y, Lee DKL, Xiao X. “I enjoy thinking critically, and I'm in control”: Examining the influences of media literacy factors on misperceptions amidst the COVID-19 infodemic. Computers in Human Behavior 2022;128:107111
    CrossRef
  148. . E-health information as a support of health information technology systems – patients attitudes. Procedia Computer Science 2022;207:1723
    CrossRef
  149. Xue H, Zhang J, Sagae K, Nishimine B, Fukuoka Y. Analyzing Public Conversations About Heart Disease and Heart Health on Facebook From 2016 to 2021: Retrospective Observational Study Applying Latent Dirichlet Allocation Topic Modeling. JMIR Cardio 2022;6(2):e40764
    CrossRef
  150. Zamil AMA, Ali S, Poulova P, Akbar M. An ounce of prevention or a pound of cure? Multi-level modelling on the antecedents of mobile-wallet adoption and the moderating role of e-WoM during COVID-19. Frontiers in Psychology 2022;13
    CrossRef
  151. Ha J, Park J, Lee S, Lee J, Choi J, Kim J, Cho S, Jeon G. Predicting Habitual Use of Wearable Health Devices Among Middle-aged Individuals With Metabolic Syndrome Risk Factors in South Korea: Cross-sectional Study. JMIR Formative Research 2023;7:e42087
    CrossRef
  152. Zahed K, Mehta R, Erraguntla M, Qaraqe K, Sasangohar F. Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample. JMIR Diabetes 2023;8:e41501
    CrossRef
  153. Liu J, Wang S. Factors Influencing the Purchase Intention for Online Health Popular Science Information Based on the Health Belief Model. Behavioral Sciences 2023;13(8):693
    CrossRef
  154. Diwanji VS, Cortese J, Merle P. Fighting a Global Pandemic in the Digital Age: Use of Infographics to ‘Flatten the Curve’ in the U.S. and India. International Journal of Strategic Communication 2023;17(5):415
    CrossRef
  155. Folkvord F, Bol N, Stazi G, Peschke L, Lupiáñez-Villanueva F. Preferences in the Willingness to Download an mHealth App: Discrete Choice Experimental Study in Spain, Germany, and the Netherlands. JMIR Formative Research 2023;7:e48335
    CrossRef
  156. Barzegari S, Ghazisaeedi M, Askarian F, Jesmi A, Gandomani H, Hasani A. Hospital information system acceptance among the educational hospitals. Journal of Nursing and Midwifery Sciences 2020;7(3):186
    CrossRef
  157. Seo J, Lee JY. Who Seeks and Shares Fact-Checking Information? Within the Context of COVID-19 in South Korea. Libri 2024;74(1):71
    CrossRef
  158. Jamwal M, Kanojia H, Dhiman N. What motivates users to continually use wearable medical devices? Evidence from a developing nation. International Journal of Pharmaceutical and Healthcare Marketing 2024;18(1):47
    CrossRef
  159. Barua Z, Barua A. Modeling the predictors of mobile health adoption by Rohingya Refugees in Bangladesh: An extension of UTAUT2 using combined SEM-Neural network approach. Journal of Migration and Health 2023;8:100201
    CrossRef
  160. Saleh A, Wetik JD, Sumaedi S. Smartphone Apps-Based Health Communication Media Usage among Older Individuals During the COVID-19 Pandemic: The Role of System Quality Factors. SAGE Open 2023;13(4)
    CrossRef
  161. Paganin G, Margheritti S, Farhane-Medina NZ, Simbula S, Mazzetti G. Health, Stress and Technologies: Integrating Technology Acceptance and Health Belief Models for Smartphone-Based Stress Intervention. Healthcare 2023;11(23):3030
    CrossRef
  162. McKinley C, Luo Y, Brennan J. Linking Health Consciousness and Social Media Information Seeking to College Students COVID-19 Prevention Behavior: Examining a Modified IMBP Model. Western Journal of Communication 2023;:1
    CrossRef
  163. Reina AM, Beer JM, Renzi-Hammond LM, Zhang D, Padilla HM. Mind Your Heart: A Mindful Eating and Diet Education eHealth Program. Journal of Nutrition Education and Behavior 2024;56(1):54
    CrossRef
  164. Said A, Ang ZE, Iskandar YHP. Assessing Consumers’ Acceptance of AR Wayfinding for Indoor Shopping Navigation in Singapore. WSEAS TRANSACTIONS ON COMPUTER RESEARCH 2023;12:44
    CrossRef
  165. Shibabaw AA, Tegegne MD, Walle AD, Wubante SM, Baykemagn ND, Sisay MM, Weldeab AN, Yehualashet SS. Information seeking behavior on hepatitis B virus, and its associated factors among pregnant women at teaching and specialized hospitals, Northwest Ethiopia: A cross-sectional study. PLOS ONE 2024;19(1):e0286755
    CrossRef
  166. . Decision process for digital contact tracing acceptance: a cross-sectional survey based on the elaboration likelihood model. Multimedia Tools and Applications 2024;
    CrossRef
  167. Boyce L, Harun A, Prybutok G, Prybutok VR. The Role of Technology in Online Health Communities: A Study of Information-Seeking Behavior. Healthcare 2024;12(3):336
    CrossRef
  168. Nemati-Vakilabad R, Khoshbakht-Pishkhani M, Maroufizadeh S, Javadi-Pashaki N. Translation and validation of the Persian version of the perception to care in acute situations (PCAS-P) scale in novice nurses. BMC Nursing 2024;23(1)
    CrossRef
  169. Baquee A, Sevukan R, Gul S. Use behaviour of academic social networking sites in research communication: a structural equation model. Online Information Review 2024;
    CrossRef
  170. Schrills T, Kojan L, Gruner M, Calero-Valdez A, Franke T. Effects of User Experience in Automated Information Processing on Perceived Usefulness of Digital Contact Tracing Applications: Cross-sectional Survey Study (Preprint). JMIR Human Factors 2023;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3564):

  1. Knight J, Ross E, Gibbons C, McEwan T. Design of Assistive Technology for Ageing Populations. 2020. Chapter 9:171
    CrossRef
  2. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara CA, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. 2018. Chapter 2:21
    CrossRef
  3. Seçkin G, Hughes S, Hudson C, Laljer D, Yeatts D. eHealth: Current Evidence, Promises, Perils and Future Directions. 2018. :205
    CrossRef
  4. Rosenberg D, Mano R, Mesch GS. Understanding Media and Society in the Age of Digitalisation. 2020. Chapter 10:209
    CrossRef
  5. Kamaruzaman KN, Hussein Z, Fikry A. Proceedings of the 2nd Advances in Business Research International Conference. 2018. Chapter 31:325
    CrossRef
  6. Kante M, Ndayizigamiye P. Perspectives on ICT4D and Socio-Economic Growth Opportunities in Developing Countries. 2021. chapter 4:99
    CrossRef
  7. Kuika Watat J, Moukoko Mbonjo M. Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. 2020. Chapter 55:623
    CrossRef
  8. Blankenhagel KJ, Werner J, Mayer G, Schultz J, Zarnekow R. Wireless Mobile Communication and Healthcare. 2021. Chapter 3:34
    CrossRef
  9. Harris MT, Rogers WA. Human Factors Issues and the Impact of Technology on Society. 2021. chapter 7:164
    CrossRef
  10. AlQudah AA, Salloum SA, Shaalan K. Emerging Technologies During the Era of COVID-19 Pandemic. 2021. Chapter 14:223
    CrossRef
  11. Acharya L, Lee H. The International Encyclopedia of Health Communication. 2022. :1
    CrossRef
  12. Harris MT, Rogers WA. Research Anthology on Supporting Healthy Aging in a Digital Society. 2022. chapter 32:571
    CrossRef
  13. Krishna Kishore SV, Kiran P, Banerjee J, Vasudevan M. Achieving $5 Trillion Economy of India. 2022. Chapter 11:187
    CrossRef
  14. Al-Tahitah AN, Al-Sharafi MA, Abdulrab M. Emerging Technologies During the Era of COVID-19 Pandemic. 2021. Chapter 21:333
    CrossRef
  15. Nguyen N, Labonte-Lemoyne E, Gregoire Y, Radanielina-Hita ML, Senecal S. HCI International 2022 – Late Breaking Posters. 2022. Chapter 85:671
    CrossRef
  16. Davis FD, Granić A. The Technology Acceptance Model. 2024. Chapter 2:19
    CrossRef