Ackerman SL, Tebb K, Stein JC, Frazee BW, Hendey GW, Schmidt LA, Gonzales R (2012) Benefit or burden? A sociotechnical analysis of diagnostic computer kiosks in four California hospital emergency departments. Soc Sci Me 75(12):2378–2385. https://doi.org/10.1016/j.socscimed.2012.09.013
Google Scholar
Adenuga KI, Iahad NA, Miskon S (2020) Telemedicine system: service adoption and implementation issues in Nigeria. Indian J Sci Technol 13(12):1321–1327
Google Scholar
Ajzen I (1991) The theory of planned behavior. Organ Behav Hum Decis Process 50(2):179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Google Scholar
AlBar AM, Hoque MR (2019) Patient acceptance of e-health services in Saudi Arabia: an integrative perspective. Telemed E-Health 25(9):847–852. https://doi.org/10.1089/tmj.2018.0107
Google Scholar
Aririguzoh S, Amodu L, Sobowale I, Ekanem T, Omidiora O (2021) Achieving sustainable e-health with information and communication technologies in Nigerian rural communities. Cogent Soc Sci 7(1):1887433. https://doi.org/10.1080/23311886.2021.1887433
Google Scholar
Askelson NM, Campo S, Lowe JB, Smith S, Dennis LK, Andsager J (2010) Using the theory of planned behavior to predict mothers’ intentions to vaccinate their daughters against HPV. J School Nurs 26(3):194–202
Google Scholar
Atinga RA, Abor PA, Suleman SJ, Anaba EA, Kipo B (2020) E-health usage and health workers’ motivation and job satisfaction in Ghana. PLoS ONE 15(9):e0239454. https://doi.org/10.1371/journal.pone.0239454
Google Scholar
Bagozzi RP, Yi Y (1988) On the evaluation of structural equation models. J Acad Market Sci 16:74–94
Google Scholar
Barrett AK, Ford J, Zhu Y (2023) Communication overload in hospitals: exploring organizational safety communication, worker job attitudes, and communication efficacy. Health Commun 38(13):2971–2985. https://doi.org/10.1080/10410236.2022.2129313
Google Scholar
Bawden D, Robinson L (2020) Information overload: an overview. In: Oxford Encyclopedia of Political Decision Making. Oxford University Press, Oxford. https://doi.org/10.1093/acrefore/9780190228637.013.1360
Becker S, Bryman A, Ferguson H (2012) Understanding research for social policy and social work: themes, methods and approaches. Policy press
Bezboruah KC, Paulson D, Smith J (2014) Management attitudes and technology adoption in long-term care facilities. J Health Organ Manag 28(3):344–365. https://doi.org/10.1108/JHOM-11-2011-0118
Google Scholar
Bingham NE (1972) Toffler, Alvin. Future shock. New York: Bantam Books, Inc., 1971 (540 Pages). Sci Educ 56(3):438–440. https://doi.org/10.1002/sce.3730560328
Google Scholar
Blaya JA, Fraser HSF, Holt B (2010) E-health technologies show promise in developing countries. Health Aff 29(2):244–251
Google Scholar
Bondzie-Micah V, Qigui S, Arkorful VE, Lugu BK, Bentum-Micah G, Aurelia Naa Ayikaikor Ayi-Bonte (2022) Predicting consumer intention to use electronic health service: an empirical structural equation modeling approach. J Public Aff 22(4):e2677. https://doi.org/10.1002/pa.2677
Google Scholar
Cao X, Sun J (2018) Exploring the effect of overload on the discontinuous intention of social media users: an S-O-R perspective. Comput Hum Behav 81(April):10–18. https://doi.org/10.1016/j.chb.2017.11.035
Google Scholar
Cao Y, Li J, Qin X, Hu B (2020) Examining the effect of overload on the mhealth application resistance behavior of elderly users: an SOR perspective. Int J Environ Res Public Health 17(18):6658. https://doi.org/10.3390/ijerph17186658
Google Scholar
Caso D, Capasso M, Fabbricatore R, Conner M (2022) Understanding the psychosocial determinants of Italian parents’ intentions not to vaccinate their children: an extended theory of planned behaviour model. Psychol Health 37(9):1111–1131. https://doi.org/10.1080/08870446.2021.1936522
Google Scholar
Chang H-J, Eckman M, Yan R-N (2011) Application of the stimulus-organism-response model to the retail environment: the role of hedonic motivation in impulse buying behavior. Int Rev Retail Distribut Consum Res 21(3):233–249
Chauhan V, Sagar M (2021) Consumer confusion in healthcare decision-making and choice: a qualitative exploration of patient confusion. J Market Theor Pract 29(3):323–342. https://doi.org/10.1080/10696679.2020.1840276
Google Scholar
Chen C-C, Yao J-Y (2018) What drives impulse buying behaviors in a mobile auction? The perspective of the stimulus-organism-response model. Telemat Inf 35(5):1249–1262
Google Scholar
Chisolm DJ, Hardin DS, McCoy KS, Johnson LD, McAlearney AS, Gardner W (2011) Health literacy and willingness to use online health information by teens with asthma and diabetes. Telemed J E-Health 17(9):676–682. https://doi.org/10.1089/tmj.2011.0037
Google Scholar
Cho J, Ramgolam DI, Schaefer KM, Sandlin AN (2011) The rate and delay in overload: an investigation of communication overload and channel synchronicity on identification and job satisfaction. J Appl Commun Res 39(1):38–54
Google Scholar
Cho J (2016) The impact of post-adoption beliefs on the continued use of health apps. Int J Med Inf 87(March):75–83. https://doi.org/10.1016/j.ijmedinf.2015.12.016
Cohen J (2013) Statistical power analysis for the behavioral sciences. Academic Press
Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319. https://doi.org/10.2307/249008
Google Scholar
de Veer AJE, Peeters JM, Brabers AEM, Schellevis FG, Jany JD, Rademakers JM, Anneke LF (2015) Determinants of the intention to use E-health by community dwelling older people. BMC Health Serv Res 15(Mar):103. https://doi.org/10.1186/s12913-015-0765-8
Google Scholar
Deng Z, Mo X, Liu S (2014) Comparison of the middle-aged and older users’ adoption of mobile health services in China. Int J Med Inf 83(3):210–224. https://doi.org/10.1016/j.ijmedinf.2013.12.002
Google Scholar
Duplaga M (2020) The acceptance of key public health interventions by the polish population is related to health literacy, but not ehealth literacy. Int J Environ Res Public Health 17(15):5459. https://doi.org/10.3390/ijerph17155459
Google Scholar
Elkhalifa AME, Ahmed BH, EL Mobarak WM (2022) Factors that influence e-health applications from patients’ perspective in the Kingdom of Saudi Arabia: an exploratory study. IEEE Access 10:109029–109042. https://doi.org/10.1109/ACCESS.2022.3214203
Google Scholar
Falk RF, Miller NB (1992) A primer for soft modeling. University of Akron Press
Fan M, Huang Y, Qalati SA, Shah SMM, Ostic D, Pu Z (2021) Effects of information overload, communication overload, and inequality on digital distrust: a cyber-violence behavior mechanism. Front Psychol 12:643981
Google Scholar
Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Market Res 18(1):39–50
Google Scholar
Franke G, Sarstedt M (2019) Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Res 29(3):430–447
Google Scholar
Greenwood E, Ramjaun TR (2020) Exploring choice overload in online travel booking. J Promot Commun 8(1):86–104
Hair JF, Ringle CM, Sarstedt M (2011) PLS-SEM: indeed a silver bullet. J Market Theor Pract 19(2):139–152
Google Scholar
Hair Jr, JF, Sarstedt M, Ringle CM, Gudergan SP (2017) Advanced issues in partial least squares structural equation modeling. Sage publications
Hamilton K, Keech JJ, Peden AE, Hagger MS (2021) Changing driver behavior during floods: testing a novel e-health intervention using implementation imagery. Safe Sci 136:105141
Google Scholar
Henseler J, Ringle CM, Sarstedt M (2015) A new criterion for assessing discriminant validity in variance-based structural equation modeling. J Acad Market Sci 43:115–135
Google Scholar
Hossain N, Yokota F, Sultana N, Ahmed A (2019) Factors influencing rural end-users’ acceptance of e-health in developing countries: a study on portable health clinic in Bangladesh. Telemed E-Health 25(3):221–229. https://doi.org/10.1089/tmj.2018.0039
Google Scholar
Hu L-T, Bentler PM (1998) Fit indices in covariance structure modeling: sensitivity to underparameterized model misspecification. Psychol Method 3(4):424
Google Scholar
Islam, Najmul AKM, Whelan E, Brooks S (2021) Does multitasking computer self-efficacy mitigate the impact of social media affordances on overload and fatigue among professionals?. Inf Technol People 34(5):1439–1461
Google Scholar
Islam JU, Rahman Z (2017) The impact of online brand community characteristics on customer engagement: an application of stimulus-organism-response paradigm. Telemat Inf 34(4):96–109
Google Scholar
Iyengar SS, Lepper MR (2000) When choice is demotivating: can one desire too much of a good thing? J Pers Social Psychol 79(6):995
Google Scholar
Keller KL, Staelin R (1987) Effects of quality and quantity of information on decision effectiveness. J Consum Res 14(2):200–213
Google Scholar
Kudla NL, Klaas-Wissing T (2012) Sustainability in shipper-logistics service provider relationships: a tentative taxonomy based on agency theory and stimulus-response analysis. J Purch Supply Manag 18(4):218–231
Google Scholar
Kujala S, Ammenwerth E, Kolanen H, Ervast M (2020) Applying and extending the FITT framework to identify the challenges and opportunities of successful ehealth services for patient self-management: qualitative interview study. J Med Internet Res 22(8):e17696
Google Scholar
Larson LE, Harris AM, Asencio R, Carter DR, DeChurch LA, Kanfer R, SJ Zaccaro SJ (2020) Cross-disciplinary team design, communication overload, and innovation. In: Academy of Management Proceedings, 2020:21054. Academy of Management Briarcliff Manor, NY 10510
Lin J, Lin S, Turel O, Xu F (2020) The buffering effect of flow experience on the relationship between overload and social media users’ discontinuance intentions. Telemat Inf 49(Jun):101374. https://doi.org/10.1016/j.tele.2020.101374
Google Scholar
Liu Y, Cai L, Ma F, Wang X (2023) Revenge buying after the lockdown: based on the SOR framework and TPB model. J Retail Consum Serv 72:103263
Google Scholar
Liu C, Bao Z, Zheng C (2019) Exploring consumers’ purchase intention in social commerce: an empirical study based on trust, argument quality, and social presence. Asia Pacific J Market Logist 31(2):378–397
Google Scholar
Marangunić N, Granić A (2015) Technology acceptance model: a literature review from 1986 to 2013. Univ Access Inf Soc 14(1):81–95. https://doi.org/10.1007/s10209-014-0348-1
Google Scholar
Matthews L, Hair JOE, Matthews R (2018) PLS-SEM: the holy grail for advanced analysis. Market Manag J 28(1):1–87
McFarlane DC, Latorella KA (2002) The scope and importance of human interruption in human-computer interaction design. Hum-Comput Interact 17(1):1–61
Google Scholar
McFarlane DC (1998) Interruption of people in human-computer interaction. The George Washington University
Mehrabian A, Russell JA (1974) An approach to environmental psychology. an approach to environmental psychology. The MIT Press. Cambridge, MA, USA
Mekonnen ZA, Gelaye KA, Were MC, Tilahun B (2021) Mothers intention and preference to use mobile phone text message reminders for child vaccination in northwest Ethiopia. BMJ Health Care Inf 28(1):e100193. https://doi.org/10.1136/bmjhci-2020-100193
Google Scholar
Misuraca R, Teuscher U (2013) Time flies when you maximize—maximizers and satisficers perceive time differently when making decisions. Acta Psychol 143(2):176–180
Google Scholar
Nagar K, Gandotra P (2016) Exploring choice overload, internet shopping anxiety, variety seeking and online shopping adoption relationship: evidence from online fashion stores. Glob Bus Rev 17(4):851–869. https://doi.org/10.1177/0972150916645682
Google Scholar
Noguchi T, Hills TT (2016) Experience-based decisions favor riskier alternatives in large sets. J Behav Decis Making 29(5):489–498
Google Scholar
Norman ID, Aikins MK, Binka FN (2011) Ethics and electronic health information technology: challenges for evidence-based medicine and the physician-patient relationship. Ghana Med J 45(3):115–124
Google Scholar
O’Conaill B, Frohlich D (1995) Timespace in the workplace: dealing with interruptions. In: Conference Companion on Human Factors in Computing Systems. pp. 262–263
Ong AKS, Prasetyo YT, Borja A-KFP, Hosillos FA, Perez YFN, Robas KP, Persada SF, Nadlifatin R (2023) Factors affecting revisiting behavior to taal volcano during the post recovery 2020 eruption: an extended theory of planned behavior approach. Int J Disaster Risk Reduct 86(Feb):103552. https://doi.org/10.1016/j.ijdrr.2023.103552
Google Scholar
Ossebaard HC, Van Gemert-Pijnen L (2016) eHealth and quality in health care: implementation time. Int J Qual Health Care 28(3):415–419
Google Scholar
Pandita S, Mishra HG, Chib S (2021) Psychological impact of Covid-19 crises on students through the lens of stimulus-organism-response (SOR) model. Child Youth Serv Rev 120:105783
Google Scholar
Pang H, Ruan Y (2023) Determining influences of information irrelevance, information overload and communication overload on WeChat discontinuance intention: the moderating role of exhaustion. J Retail Consum Serv 72(May):103289. https://doi.org/10.1016/j.jretconser.2023.103289
Google Scholar
Park S, Eves A (2023) Choice overload in tourism: moderating roles of hypothetical and social distance. J Travel Res (Sept) 00472875231197379. https://doi.org/10.1177/00472875231197379
Pfaff H (2013) Optionsstress und Zeitdruck. In: Immer schneller, immer mehr. Bundesanstalt Für Arbeitsschutz Und Arbeitsmedizi, Gisa Junghanns, and Martina Morschhäuser, (eds.). Springer Fachmedien Wiesbaden, Wiesbaden. pp. 113–143
Pilli LE, Mazzon JA (2016) Information overload, choice deferral, and moderating role of need for cognition: empirical evidence. Revista de Administração (São Paulo) 51:36–55
Google Scholar
Podsakoff PM, MacKenzie SB, Lee J-Y, Podsakoff NP (2003) Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol 88(5):879–903. https://doi.org/10.1037/0021-9010.88.5.879
Google Scholar
Pomerleau M (2008) Electronic health record: are you ready for the next step? Nurs Women’s Health 12(2):151–156. https://doi.org/10.1111/j.1751-486X.2008.00300.x
Google Scholar
Qi X, Ploeger A (2021) An integrated framework to explain consumers’ purchase intentions toward green food in the Chinese context. Food Qual Pref 92(Sept):104229. https://doi.org/10.1016/j.foodqual.2021.104229
Google Scholar
Rahman KT, Bansal R (2023) Combating choice overload via a growth mindset in the age of social media. In: Strengthening SME Performance Through Social Media Adoption and Usage. IGI Global. pp. 96–105
Regmi PR, Waithaka E, Paudyal A, Simkhada P, van Teijlingen E (2016) Guide to the design and application of online questionnaire surveys. Nepal J Epidemiol 6(4):640–644. https://doi.org/10.3126/nje.v6i4.17258
Google Scholar
Rittichainuwat BN, Chakraborty G (2009) Perceived travel risks regarding terrorism and disease: the case of Thailand. Tour Manag 30(3):410–418. https://doi.org/10.1016/j.tourman.2008.08.001
Google Scholar
Roemer E, Schuberth F, Henseler J (2021) HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling. Ind Manag Data Syst 121(12):2637–2650. https://doi.org/10.1108/IMDS-02-2021-0082
Google Scholar
Sampa MB, Hossain MN, Hoque MR, Islam R, Yokota F, Nishikitani M, Fukuda A, Ahmed A (2020) Influence of factors on the adoption and use of ICT-based eHealth technology by urban corporate people. J Serv Sci Manag 13(01):1
Schmiege SJ, Bryan A, Klein WMP (2009) Distinctions between worry and perceived risk in the context of the theory of planned behavior. J Appl Soc Psychol 39(1):95–119
Google Scholar
Settle RB, Golden LL (1974) Consumer perceptions: overchoice in the market place. ACR North Am Adv 1(1):29–37
Simonds SK (1974) Health education as social policy. Health Educ Monogr 2(1_suppl):1–10. https://doi.org/10.1177/10901981740020S102
Google Scholar
Sørensen K, Van den Broucke S, Pelikan JM, Fullam J, Doyle G, Slonska Z, Kondilis B, Stoffels V, Osborne RH, Brand H (2013) Measuring health literacy in populations: illuminating the design and development process of the European Health Literacy Survey Questionnaire (HLS-EU-Q). BMC Public Health 13(1):10
Google Scholar
Suess C, Mody M (2018) The influence of hospitable design and service on patient responses. Serv Ind J 38(1–2):127–147
Google Scholar
Tagde P, Tagde S, Bhattacharya T, Tagde P, Chopra H, Akter R, Kaushik D, Rahman MH (2021) Blockchain and artificial intelligence technology in e-health. Environ Sci Poll Res 28(38):52810–52831. https://doi.org/10.1007/s11356-021-16223-0
Google Scholar
Talwar S, Talwar M, Kaur P, Dhir A (2020) Consumers’ resistance to digital innovations: a systematic review and framework development. Australas Market J (AMJ) 28(4):286–299. https://doi.org/10.1016/j.ausmj.2020.06.014
Google Scholar
Talwar S, Dhir A, Islam N, Kaur P, Almusharraf A (2023) Resistance of multiple stakeholders to E-health innovations: integration of fundamental insights and guiding research paths. J Bus Res 166:114135
Google Scholar
Tanwar S, Parekh K, Evans R (2020) Blockchain-based electronic healthcare record system for healthcare 4.0 applications. J Inf Secur Appl 50(Feb):102407. https://doi.org/10.1016/j.jisa.2019.102407
Google Scholar
Tao D, Yuan J, Shao F, Li D, Zhou Q, Qu X (2018) Factors affecting consumer acceptance of an online health information portal among young internet users. Comput Inf Nurs 36(11):530. https://doi.org/10.1097/CIN.0000000000000467
Google Scholar
Tehseen S, Hassan Qureshi Z, Johara F, Ramayah T (2020) Assessing dimensions of entrepreneurial competencies: a type II (reflective-formative) measurement approach using PLS-SEM. 15(2):108–145
Teviu EAA, Aikins M, Abdulai TI, Sackey S, Boni P, Afari E, Wurapa F (2012) Improving medical records filing in a municipal hospital in Ghana. Ghana Medical Journal 46(3):136
Google Scholar
Tripathy S, Aich S, Chakraborty A, Lee GM (2016) Information technology is an enabling factor affecting supply Chain performance in Indian SMEs: a structural equation modelling approach. J Model Manag 11(1):269–287. https://doi.org/10.1108/JM2-01-2014-0004
Google Scholar
van Zoonen W, Sivunen A, Rice RE (2022) Benefits and drawbacks of communication visibility: from vicarious learning and supplemental work to knowledge reuse and overload. J Knowl Manag 26(11):214–233
Google Scholar
Vergura DT, Zerbini C, Luceri B (2020) Consumers’ attitude and purchase intention towards organic personal care products. An application of the S-O-R model. Sinergie Italian J Manag 38(1):121–137. https://doi.org/10.7433/s111.2020.08
Google Scholar
Walle AD, Demsash AW, Adem JB, Wubante SM, Shibabaw AA, Mamo DN, Kebede SD et al. (2023) Exploring facilitators and barriers of the sustainable acceptance of e-health system solutions in Ethiopia: a systematic review. PLoS ONE 18(8):e0287991. https://doi.org/10.1371/journal.pone.0287991
Google Scholar
Wang T, Wang W, Liang J, Nuo M, Wen Q, Wei W, Han H, Lei J (2022) Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis. NPJ Digit Med 5(1):145
Google Scholar
Whelan E, Najmul Islam AKM, Brooks S (2020) Is boredom proneness related to social media overload and fatigue? A stress–strain–outcome approach. Internet Res 30(3):869–887
Google Scholar
Wilson J, Heinsch M, Betts D, Booth D, Kay-Lambkin F (2021) Barriers and facilitators to the use of e-health by older adults: a scoping review. BMC Public Health 21(1):1556. https://doi.org/10.1186/s12889-021-11623-w
Google Scholar
World Health Assembly, 58. (2005) Fifty-Eighth World Health Assembly, Geneva, 16–25 May 2005: Resolutions and Decisions: Annex. WHA58/2005/REC/1. World Health Organization. https://apps.who.int/iris/handle/10665/20398
World Health Organization (2022) Health literacy development for the prevention and control of noncommunicable diseases: volume 4: case studies from WHO national health literacy demonstration projects. World Health Organization
Wu I-L, Chiu M-L, Chen K-W (2020) Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues. Int J Inf Manag 52(Jun):102099. https://doi.org/10.1016/j.ijinfomgt.2020.102099
Google Scholar
Yusif S, Hafeez-Baig A, Soar J (2020) An exploratory study of the readiness of public healthcare facilities in developing countries to adopt health information technology (HIT)/e-Health: the case of Ghana. J Healthcare Inf Res 4(2):189–214. https://doi.org/10.1007/s41666-020-00070-8
Google Scholar
Zeike S, Choi K-E, Lindert L, Pfaff H (2019) Managers’ well-being in the digital era: is it associated with perceived choice overload and pressure from digitalization? An exploratory study. Int J Environ Res Public Health 16(10):1746. https://doi.org/10.3390/ijerph16101746
Google Scholar
Zhang T, Tao D, Qu X, Zhang X, Lin R, Zhang W (2019) The roles of initial trust and perceived risk in public’s acceptance of automated vehicles. Transp Res Part C Emerg Technol 98(Jan):207–220. https://doi.org/10.1016/j.trc.2018.11.018
Google Scholar
Zhao J (2022) Artificial intelligence and corporate decisions: fantasy, reality or destiny. Catholic Univ Law Rev 71(4):663–698
Zhu H, Yang Z, CXJ Ou, Liu H, Davison RM (2016) Investigating the Impacts of Recommendation Agents on Impulsive Purchase Behaviour. arXiv Preprint 1–15.
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