Demystifying the Communication-Driven Usefulness Hypothesis: The Case of Healthcare Insurance Applications

[1]  M Househ,et al.  Ethical Issues of Social Media Usage in Healthcare , 2015, Yearbook of Medical Informatics.

[2]  Ejaz Ahmed,et al.  Investigating the influence of the most commonly used external variables of TAM on students' Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios , 2016, Comput. Hum. Behav..

[3]  Christopher J. Holden,et al.  Assessing the reliability of the M5-120 on Amazon's mechanical Turk , 2013, Comput. Hum. Behav..

[4]  Paul A. Fontelo,et al.  Transforming consumer health informatics: connecting CHI applications to the health-IT ecosystem , 2015, J. Am. Medical Informatics Assoc..

[5]  K. Nakayama,et al.  Is the Web as good as the lab? Comparable performance from Web and lab in cognitive/perceptual experiments , 2012, Psychonomic Bulletin & Review.

[6]  I. Ajzen The theory of planned behavior , 1991 .

[7]  Li Zhao,et al.  Information quality and community municipal portal use , 2013, Gov. Inf. Q..

[8]  Gerardine DeSanctis,et al.  Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory , 1994 .

[9]  Aleksandar Milenkovic,et al.  Body Area Networks for Ubiquitous Healthcare Applications: Opportunities and Challenges , 2011, Journal of Medical Systems.

[10]  Abu Saleh Mohammad Mosa,et al.  Healthcare Applications for Smartphones , 2015 .

[11]  Khawaja Asjad Saeed,et al.  Toward an Integrative Framework for Online Consumer Behavior Research: A Meta-Analysis Approach , 2003, J. Organ. End User Comput..

[12]  Chris Evans,et al.  The influence of eWOM in social media on consumers' purchase intentions: An extended approach to information adoption , 2016, Comput. Hum. Behav..

[13]  F. Schut,et al.  Switching health insurers: the role of price, quality and consumer information search , 2015, The European Journal of Health Economics.

[14]  Hannu Tenhunen,et al.  Smart e-Health Gateway: Bringing intelligence to Internet-of-Things based ubiquitous healthcare systems , 2015, 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC).

[15]  J. Sweeney,et al.  A Hierarchical Model of Health Service Quality , 2007 .

[16]  Ali Zeinal Hamadani,et al.  Development of a Decision Support System for Handling Health Insurance Deduction , 2015 .

[17]  W. Orlikowski The Duality of Technology: Rethinking the Concept of Technology in Organizations , 2014 .

[18]  Rozilawati Razali,et al.  Usability Dimensions for Mobile Applications-A Review , 2013 .

[19]  Analía Amandi,et al.  User Acceptance of Recommender Systems: Influence of the Preference Elicitation Algorithm , 2014, 2014 9th International Workshop on Semantic and Social Media Adaptation and Personalization.

[20]  Andrina Granic,et al.  Technology acceptance model: a literature review from 1986 to 2013 , 2014, Universal Access in the Information Society.

[21]  B. Spring,et al.  Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association. , 2015, Circulation.

[22]  Viswanath Venkatesh,et al.  Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead , 2016, J. Assoc. Inf. Syst..

[23]  A. Mosadeghrad Factors Influencing Healthcare Service Quality , 2014, International journal of health policy and management.

[24]  Samaher Al-Janabi,et al.  Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications , 2017 .

[25]  I. Ajzen,et al.  Attitudinal and normative variables as predictors of specific behavior. , 1973 .

[26]  Edward Shih-Tse Wang The moderating role of consumer characteristics in the relationship between website quality and perceived usefulness , 2016 .

[27]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[28]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[29]  Lesley Strawderman,et al.  Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems. , 2017, Accident; analysis and prevention.

[30]  Christian Bonnet,et al.  Applying Internet of Things for personalized healthcare in smart homes , 2015, 2015 24th Wireless and Optical Communication Conference (WOCC).

[31]  V. Zeithaml,et al.  E-S-QUAL A Multiple-Item Scale for Assessing Electronic Service Quality , 2004 .

[32]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[33]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[34]  Anthony D. Miyazaki,et al.  Reducing online privacy risk to facilitate e‐service adoption: the influence of perceived ease of use and corporate credibility , 2010 .

[35]  Detmar W. Straub,et al.  Specifying Formative Constructs in Information Systems Research , 2007, MIS Q..

[36]  Bongsik Shin,et al.  Location-based system: Comparative effects of personalization vs ease of use , 2017, Telematics Informatics.

[37]  Richard Vidgen,et al.  A computational literature review of the technology acceptance model , 2016, Int. J. Inf. Manag..

[38]  Jasmine Travers,et al.  A user-centered model for designing consumer mobile health (mHealth) applications (apps) , 2016, J. Biomed. Informatics.

[39]  S. Fournier,et al.  Paradoxes of Technology: Consumer Cognizance, Emotions, and Coping Strategies , 1998 .

[40]  Eric J. Arnould,et al.  Consumers’ emotional responses to service encounters , 1995 .

[41]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[42]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[43]  After the false start--what can we expect from the new health insurance marketplaces? , 2014, The New England journal of medicine.

[44]  Youngjin Yoo,et al.  Media and Group Cohesion: Relative Influences on Social Presence, Task Participation, and Group Consensus , 2001, MIS Q..

[45]  Illhoi Yoo,et al.  A Systematic Review of Healthcare Applications for Smartphones , 2012, BMC Medical Informatics and Decision Making.

[46]  Sinda Agrebi,et al.  Explain the intention to use smartphones for mobile shopping , 2015 .

[47]  Gwo‐Guang Lee,et al.  KMS adoption: the effects of information quality , 2009 .

[48]  P. Nadash,et al.  Consumer choice in health insurance exchanges: can we make it work? , 2014, Journal of health politics, policy and law.

[49]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[50]  Viswanath Venkatesh,et al.  Mobile Application Usability: Conceptualization and Instrument Development , 2015, MIS Q..

[51]  M. Rutter,et al.  THE STUDENTS’ ACCEPTANCE OF LEARNING MANAGEMENT SYSTEMS IN SAUDI ARABIA: A CASE STUDY OF KING ABDULAZIZ UNIVERSITY , 2017 .

[52]  William R. King,et al.  A meta-analysis of the technology acceptance model , 2006, Inf. Manag..

[53]  B. Handel,et al.  Health Insurance for "Humans": Information Frictions, Plan Choice, and Consumer Welfare , 2013 .

[54]  Michael D. Buhrmester,et al.  Amazon's Mechanical Turk , 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.

[55]  Tiong-Thye Goh,et al.  Exploring gender differences in Islamic mobile banking acceptance , 2014, Electron. Commer. Res..

[56]  Khaled Hassanein,et al.  A macro model of online information quality perceptions: A review and synthesis of the literature , 2016, Comput. Hum. Behav..

[57]  Yolanda Polo-Redondo,et al.  The influence of EWOM characteristics on online repurchase intention: Mediating roles of trust and perceived usefulness , 2016, Online Inf. Rev..

[58]  Ingoo Han,et al.  The impact of Web quality and playfulness on user acceptance of online retailing , 2007, Inf. Manag..

[59]  Matthew R. Jones,et al.  Giddens's Structuration Theory and Information Systems Research , 2008, MIS Q..

[60]  Gülçin Büyüközkan,et al.  Strategic analysis of healthcare service quality using fuzzy AHP methodology , 2011, Expert Syst. Appl..

[61]  Jason L. Huang,et al.  Detecting Insufficient Effort Responding with an Infrequency Scale: Evaluating Validity and Participant Reactions , 2014, Journal of Business and Psychology.

[62]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[63]  Ronald E. Rice,et al.  Public views of mobile medical devices and services: A US national survey of consumer sentiments towards RFID healthcare technology , 2009, Int. J. Medical Informatics.