Mobile application user behavior in the developing countries: A survey in Iran

Evaluating structural equation models with unobservable variables and measurement error

Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190 · see citing works

The theory of planned behavior

Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works

Perceived usefulness, perceived ease of use, and user acceptance of information technology

Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works

User Acceptance of Information Technology: Toward A Unified View1

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works

Coefficient Alpha and the Internal Structure of Tests

Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931 · see citing works

Untitled work

(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737 · see citing works

Untitled work

(1980) · Medical Entomology and Zoology · Cited by 25,810 · see citing works

The DeLone and McLean Model of Information Systems Success: A Ten-Year Update

(2003) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045748 · Cited by 11,791 · see citing works

Information Systems Success: The Quest for the Dependent Variable

DeLone, W. H., & McLean, E. R. (1992) · Information Systems Research · doi:10.1287/isre.3.1.60 · Cited by 10,697 · see citing works

Social Foundations of Thought and Action

Bandura, A. (2002) · SAGE Publications Ltd eBooks · doi:10.4135/9781446221129.n6 · Cited by 9,948 · see citing works

Understanding information technology usage: a test of competing models

Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815 · see citing works

Understanding Information Systems Continuance: An Expectation-Confirmation Model1

Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767 · see citing works

Trust and TAM in Online Shopping: An Integrated Model1

Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635 · see citing works

A Protection Motivation Theory of Fear Appeals and Attitude Change1

Rogers, R. W. (1975) · The Journal of Psychology · doi:10.1080/00223980.1975.9915803 · Cited by 6,805 · see citing works

Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model

Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664 · see citing works

Computer Self-Efficacy: Development of a Measure and Initial Test

Compeau, D. R., & Higgins, C. A. (1995) · MIS Quarterly · doi:10.2307/249688 · Cited by 6,553 · see citing works

Extrinsic and Intrinsic Motivation to Use Computers in the Workplace ¹

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231 · see citing works

Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model

(2003) · International Journal of Electronic Commerce · doi:10.1080/10864415.2003.11044275 · Cited by 5,715 · see citing works

Putting the fear back into fear appeals: the extended parallel process model

Witte, K. (1992) · Communication Monographs · doi:10.1080/03637759209376276 · Cited by 3,880 · see citing works

The Explanatory and Predictive Scope of Self-Efficacy Theory

Bandura, A. (1986) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.1986.4.3.359 · Cited by 3,771 · see citing works

Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication

Adams, D. A., Nelson, R. R., & Todd, P. A. (1992) · MIS Quarterly · doi:10.2307/249577 · Cited by 3,084 · see citing works

Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior1

Pavlou, P. A., & Fygenson, M. (2006) · MIS Quarterly · doi:10.2307/25148720 · Cited by 2,685 · see citing works

Building Effective Online Marketplaces with Institution-Based Trust

Pavlou, P. A., & Gefen, D. (2004) · Information Systems Research · doi:10.1287/isre.1040.0015 · Cited by 2,516 · see citing works

The utilization of e-government services: citizen trust, innovation and acceptance factors

Carter, L., & Bélanger, F. (2005) · Information Systems Journal · doi:10.1111/j.1365-2575.2005.00183.x · Cited by 2,207 · see citing works

Latent Variable Path Modeling with Partial Least Squares

Lohmöller, J.-B. (1989) · Physica-Verlag eBooks · doi:10.1007/978-3-642-52512-4 · Cited by 2,149 · see citing works

Customer perceived value, satisfaction, and loyalty: The role of switching costs

Yang, Z., & Peterson, R. T. (2004) · Psychology and Marketing · doi:10.1002/mar.20030 · Cited by 2,069 · see citing works

The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption

Drexel University, Gefen, D., Straub, D., & Georgia State University (2000) · Journal of the Association for Information Systems · doi:10.17705/1jais.00008 · Cited by 1,833 · see citing works

The measurement of user information satisfaction

Ives, B., Olson, M. H., & Baroudi, J. J. (1983) · Communications of the ACM · doi:10.1145/358413.358430 · Cited by 1,830 · see citing works

Customer Value, Satisfaction, Loyalty, and Switching Costs: An Illustration From a Business-to-Business Service Context

Lam, S. Y., Shankar, V., Erramilli, M. K., & Murthy, B. (2004) · Journal of the Academy of Marketing Science · doi:10.1177/0092070304263330 · Cited by 1,828 · see citing works

The projections of the ventral tegmental area and adjacent regions: a combined fluorescent retrograde tracer and immunofluorescence study in the rat

Swanson, L. W. (1982) · Brain Research Bulletin · doi:10.1016/0361-9230(82)90145-9 · Cited by 1,718 · see citing works

A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects

Schepers, J., & Wetzels, M. G. M. (2006) · Information & Management · doi:10.1016/j.im.2006.10.007 · Cited by 1,690 · see citing works

Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis

Rai, A., Lang, S. S., & Welker, R. B. (2002) · Information Systems Research · doi:10.1287/isre.13.1.50.96 · Cited by 1,611 · see citing works

Information technology acceptance by individual professionals: a model comparison approach

Chau, P. Y. K., & Hu, P. J. (2001) · Decision Sciences · doi:10.1111/j.1540-5915.2001.tb00978.x · Cited by 1,409 · see citing works

Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model

Lee, M.-C. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.09.002 · Cited by 1,289 · see citing works

Fear Appeals and Information Security Behaviors: An Empirical Study1

Johnston, J. R., & Warkentin, M. E. (2010) · MIS Quarterly · doi:10.2307/25750691 · Cited by 1,280 · see citing works

Soft modelling: The Basic Design and Some Extensions

Wold, H. (1982) · Medical Entomology and Zoology · Cited by 1,262 · see citing works

Spreading the Word: Investigating Antecedents of Consumers' Positive Word-of-Mouth Intentions and Behaviors in a Retailing Context

Brown, T. J. (2005) · Journal of the Academy of Marketing Science · doi:10.1177/0092070304268417 · Cited by 1,151 · see citing works

Word-of-mouth communications in marketing: a meta-analytic review of the antecedents and moderators

de Matos, C. A., & Rossi, C. A. V. (2008) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-008-0121-1 · Cited by 1,091 · see citing works

The role of moderating factors in user technology acceptance

Sun, H., & Zhang, P. (2005) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2005.04.013 · Cited by 1,002 · see citing works

The effect of web interface features on consumer online purchase intentions

Hausman, A. V., & Siekpe, J. S. (2009) · Journal of Business Research · doi:10.1016/j.jbusres.2008.01.018 · Cited by 981 · see citing works

An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study

Wu, I.-L., & Chen, J.-L. (2005) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2005.03.003 · Cited by 879 · see citing works

Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—An Empirical Assessment

Agarwal, R., Sambamurthy, V., & Stair, R. M. (2000) · Information Systems Research · doi:10.1287/isre.11.4.418.11876 · Cited by 810 · see citing works

Towards an understanding of the consumer acceptance of mobile wallet

Shin, D. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2009.06.001 · Cited by 797 · see citing works

Determinants of behavioral intention to mobile banking

Gu, J., Lee, S., & Suh, Y. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.03.024 · Cited by 792 · see citing works

University students' behavioral intention to use mobile learning: Evaluating the technology acceptance model

Park, S. Y., Nam, M., & Cha, S.-B. (2011) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2011.01229.x · Cited by 773 · see citing works

A Knowledge Management Success Model: Theoretical Development and Empirical Validation

Kulkarni, U. R., Ravindran, S., & Freeze, R. D. (2006) · Journal of Management Information Systems · doi:10.2753/nus0742-1222230311 · Cited by 761 · see citing works

An empirical test of the DeLone-McLean model of information system success

Iivari, J. (2005) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1066149.1066152 · Cited by 726 · see citing works

Determinants of user acceptance of the e-Government services: The case of online tax filing and payment system

Hung, S.-Y., Chang, C.-M., & Yu, T.-J. (2006) · Government Information Quarterly · doi:10.1016/j.giq.2005.11.005 · Cited by 599 · see citing works

An empirical examination of initial trust in mobile banking

Zhou, T. (2011) · Internet Research · doi:10.1108/10662241111176353 · Cited by 589 · see citing works

The importance of perceived trust, security and privacy in online trading systems

Roca, J. C., Machado, J. J. G., & de la Vega, J. J. (2009) · Information Management & Computer Security · doi:10.1108/09685220910963983 · Cited by 532 · see citing works

Understanding users' initial trust in mobile banking: An elaboration likelihood perspective

Zhou, T. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.03.021 · Cited by 509 · see citing works

Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach

Leong, L.-Y., Hew, T.-S., Tan, G. W., & Ooi, K. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.04.018 · Cited by 498 · see citing works

The relationship between consumer innovativeness, personal characteristics, and online banking adoption

Lassar, W. M., Manolis, C., & Lassar, S. S. (2005) · International Journal of Bank Marketing · doi:10.1108/02652320510584403 · Cited by 476 · see citing works

Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context

Miltgen, C. L., Popovič, A., & Oliveira, T. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.05.010 · Cited by 460 · see citing works

The mediating role of consumer trust in an online merchant in predicting purchase intention

Hong, I. B., & Cha, H. S. (2013) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2013.08.007 · Cited by 417 · see citing works

Repurchase intention in B2C e-commerce—A relationship quality perspective

Zhang, Y., Fang, Y., Wei, K., Ramsey, E., McCole, P., & Chen, H. (2011) · Information & Management · doi:10.1016/j.im.2011.05.003 · Cited by 412 · see citing works

A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type

Wu, K., Zhao, Y. C., Zhu, Q., Tan, X., & Zheng, H. (2011) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2011.03.004 · Cited by 399 · see citing works

User experience, satisfaction, and continual usage intention of IT

Deng, L., Turner, D. E., Gehling, R., & Prince, B. (2010) · European Journal of Information Systems · doi:10.1057/ejis.2009.50 · Cited by 399 · see citing works

Mobile-based assessment: Investigating the factors that influence behavioral intention to use

Nikou, S. A., & Economides, A. A. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.02.005 · Cited by 388 · see citing works

Explaining employees' Extended Use of complex information systems

Hsieh, J. J. P.-A., & Wang, W. (2007) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000663 · Cited by 388 · see citing works

A customer value, satisfaction, and loyalty perspective of mobile application recommendations

Xu, C., Peak, D. A., & Prybutok, V. R. (2015) · Decision Support Systems · doi:10.1016/j.dss.2015.08.008 · Cited by 369 · see citing works

Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP implementation

Amoako-Gyampah, K. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2004.12.002 · Cited by 345 · see citing works

Understanding the determinants of online repeat purchase intention and moderating role of habit: The case of online group-buying in Taiwan

Hsu, M., Chang, C., & Chuang, L.-W. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.09.002 · Cited by 330 · see citing works

User acceptance of mobile e-government services: An empirical study

Hung, S., Chang, C., & Kuo, S.-R. (2012) · Government Information Quarterly · doi:10.1016/j.giq.2012.07.008 · Cited by 310 · see citing works

Consumer adoption of mobile TV: Examining psychological flow and media content

Jung, Y., Pérez-Mira, B., & Wiley-Patton, S. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2008.07.011 · Cited by 308 · see citing works

An Integrated Adoption Model of Mobile Cloud Services: Exploration of Key Determinants and Extension of Technology Acceptance Model

Park, E., & Kim, K. J. (2013) · Telematics and Informatics · doi:10.1016/j.tele.2013.11.008 · Cited by 299 · see citing works

Predictive vs. Structural Modeling: PLS vs. ML

Lohmöller, J.-B. (1989) · Physica-Verlag eBooks · doi:10.1007/978-3-642-52512-4_5 · Cited by 284 · see citing works

Antecedents of flow in online shopping: a test of alternative models

Guo, Y. M., & Poole, M. S. (2008) · Information Systems Journal · doi:10.1111/j.1365-2575.2007.00292.x · Cited by 283 · see citing works

A comparison of three models to explain shop‐bot use on the web

Gentry, L., & Calantone, R. J. (2002) · Psychology and Marketing · doi:10.1002/mar.10045 · Cited by 260 · see citing works

Transfer From Offline Trust to Key Online Perceptions: An Empirical Study

Lee, K. C., Kang, I., & McKnight, D. H. (2007) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2007.906851 · Cited by 253 · see citing works

User acceptance of mobile health services from users’ perspectives: The role of self-efficacy and response-efficacy in technology acceptance

Zhang, X., Han, X., Dang, Y., Meng, F., Guo, X., & Lin, J. (2017) · Informatics for Health and Social Care · doi:10.1080/17538157.2016.1200053 · Cited by 241 · cited 8× · see citing works

The Past, Present, and Future of “IS Success”

Petter, S., DeLone, W. H., & McLean, E. R. (2012) · Journal of the Association for Information Systems · doi:10.17705/1jais.00296 · Cited by 235 · see citing works

Integrating trust and personal values into the Technology Acceptance Model: The case of e-government services adoption

Belanche, D., Casaló, L. V., & Flavián, C. (2012) · Cuadernos de Economía y Dirección de la Empresa · doi:10.1016/j.cede.2012.04.004 · Cited by 221 · see citing works

Task-Technology Fit for Mobile Information Systems

Gebauer, J., Shaw, M. J., & Gribbins, M. L. (2010) · Journal of Information Technology · doi:10.1057/jit.2010.10 · Cited by 219 · see citing works

User Acceptance of Mobile Library Applications in Academic Libraries: An Application of the Technology Acceptance Model

Yoon, H.-Y. (2016) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2016.08.003 · Cited by 182 · see citing works

WHAT DRIVES ELECTRONIC COMMERCE? A THEORY OF PLANNED BEHAVIOR PERSPECTIVE.

Pavlou, P. A. (2002) · Academy of Management Proceedings · doi:10.5465/apbpp.2002.7517579 · Cited by 181 · see citing works

Identifying factors influencing consumers’ intent to install mobile applications

Harris, M. A., Brookshire, R. G., & Chin, A. G. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.02.004 · Cited by 180 · see citing works

From Space to Place: Predicting Users’ Intentions to Return to Virtual Worlds1

Goel, L., Johnson, N. A., Junglas, I. A., & Ives, B. (2011) · MIS Quarterly · doi:10.2307/23042807 · Cited by 179 · see citing works

Examining the effects of website‐induced flow in professional sporting team websites

O’Cass, A., & Carlson, J. (2010) · Internet Research · doi:10.1108/10662241011032209 · Cited by 173 · see citing works

Predictors for e-government adoption: integrating TAM, TPB, trust and perceived risk.

Xie, Q., Song, W., Peng, X., & Shabbir, M. (2017) · The Electronic Library · doi:10.1108/el-08-2015-0141 · Cited by 167 · see citing works

A brief intervention changing oral self-care, self-efficacy, and self-monitoring

Schwarzer, R., Antoniuk, A., & Gholami, M. (2015) · British Journal of Health Psychology · doi:10.1111/bjhp.12091 · Cited by 159 · see citing works

Information quality, trust, and risk perceptions in electronic data exchanges

Nicolaou, A. I., Ibrahim, M. S., & van Heck, E. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.10.024 · Cited by 151 · see citing works

Behavioral Consequences of Overbooking Service Capacity

von Wangenheim, F., & Bayón, T. (2007) · Journal of Marketing · doi:10.1509/jmkg.71.4.36 · Cited by 147 · see citing works

Attribute Perceptions, Customer Satisfaction and Intention to Recommend E-Services

Finn, A. H. R., Wang, L., & Frank, T. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2009.04.006 · Cited by 145 · see citing works

Information systems effectiveness: A user satisfaction approach

Thong, J. Y. L., & Yap, C.-S. (1996) · Information Processing & Management · doi:10.1016/0306-4573(96)00004-0 · Cited by 138 · see citing works

The effects of relationship quality and switching barriers on customer loyalty

Liu, C.-T., Guo, Y., & Lee, C.-H. (2011) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2010.05.008 · Cited by 138 · see citing works

Jordanian consumers’ adoption of telebanking

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Simintiras, A. C. (2016) · International Journal of Bank Marketing · doi:10.1108/ijbm-06-2015-0093 · Cited by 130 · see citing works

Exploring the continuance intention of social networking websites: an empirical research

Hsu, C., Yu, C.-C., & Wu, C. (2013) · Information Systems and e-Business Management · doi:10.1007/s10257-013-0214-3 · Cited by 99 · see citing works

User acceptance of SMS-based e-government services: Differences between adopters and non-adopters

Susanto, T. D., & Goodwin, R. (2013) · Government Information Quarterly · doi:10.1016/j.giq.2013.05.010 · Cited by 88 · see citing works

Customer perceived value, satisfaction, and loyalty: the role of willingness to share information

Leppäniemi, M., Karjaluoto, H., & Saarijärvi, H. (2016) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2016.1251482 · Cited by 78 · see citing works

Understanding computer security behavioral intention in the workplace

Yoon, C., & Kim, H. (2013) · Information Technology and People · doi:10.1108/itp-12-2012-0147 · Cited by 73 · see citing works

RFID integrated systems in libraries: extending TAM model for empirically examining the use

Kapoor, K. K., Dwivedi, Y. K., Piercy, N. C., Lal, B., & Weerakkody, V. (2014) · Journal of Enterprise Information Management · doi:10.1108/jeim-10-2013-0079 · Cited by 70 · see citing works

Implementation and evaluation of mobile e-books in a cloud bookcase using the information system success model

Chiu, P., Chao, I.-C., Kao, C.-C., Pu, Y., & Huang, Y. (2016) · Library Hi Tech · doi:10.1108/lht-12-2015-0113 · Cited by 63 · see citing works

Blog learning: effects of users' usefulness and efficiency towards continuance intention

Tang, J.-T. E., Tang, T., & Chiang, C.-H. (2012) · Behaviour and Information Technology · doi:10.1080/0144929x.2012.687772 · Cited by 61 · see citing works

User requirements of mobile technology: A summary of research results

Gebauer, J. (2008) · Information Knowledge Systems Management · doi:10.3233/iks-2008-00116 · Cited by 52 · see citing works

Understanding continuance usage intention of mobile internet sites

Zhou, T. (2013) · Universal Access in the Information Society · doi:10.1007/s10209-013-0313-4 · Cited by 52 · see citing works

Factors affecting the adoption of online library resources by business students

Booker, L. D., Detlor, B., & Serenko, A. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22723 · Cited by 52 · see citing works

Modeling the user acceptance of long-term evolution (LTE) services

Park, E., & del Pobil, A. P. (2012) · Annals of Telecommunications · doi:10.1007/s12243-012-0324-9 · Cited by 49 · see citing works

Chinese students’ behavior intention to use mobile library apps and effects of education level and discipline

Hu, J., & Zhang, Y. (2016) · Library Hi Tech · doi:10.1108/lht-06-2016-0061 · Cited by 48 · see citing works

Proceedings of the 19th International Academic Mindtrek Conference

(2015) · doi:10.1145/2818187 · Cited by 47 · see citing works

Opportunities and Thresholds for Advertising on Interactive Digital TV

Cauberghe, V., & Pelsmacker, P. D. (2006) · Journal of Interactive Advertising · doi:10.1080/15252019.2006.10722122 · Cited by 40 · see citing works

The health psychology reader

Peel, E. (2003) · Cited by 39 · see citing works

Continuance use intention of enterprise instant messaging: a knowledge management perspective

Ajjan, H., Hartshorne, R., Cao, Y., & Rodríguez, M. (2014) · Behaviour and Information Technology · doi:10.1080/0144929x.2014.886722 · Cited by 36 · see citing works

Unleash the power of mobile word‐of‐mouth

Shen, X., Wang, N., Sun, Y., & Xiang, L. (2013) · Online Information Review · doi:10.1108/14684521311311621 · Cited by 35 · see citing works

Investigating factors affecting the acceptance of self-service technology in libraries

Hsiao, C., & Tang, K. (2015) · Library Hi Tech · doi:10.1108/lht-09-2014-0087 · Cited by 31 · see citing works

Determining the improvement potentials of employee portals using a performance‐based analysis

Urbach, N., Smolnik, S., & Riempp, G. (2011) · Business Process Management Journal · doi:10.1108/14637151111166204 · Cited by 27 · see citing works

TRUSTWORTHINESS AS A SOURCE OF COMPETITIVE ADVANTAGE IN ONLINE AUCTION MARKETS.

Pavlou, P. A. (2002) · Academy of Management Proceedings · doi:10.5465/apbpp.2002.7519517 · Cited by 26 · see citing works

Physicians' Adoption of Mobile Health Monitoring Systems in Spain: Competing Models and Impact of Prior Experience

Okazaki, S., Blas, S. S., & García, J. A. C. (2015) · Journal of electronic commerce research · Cited by 25 · see citing works

Mobile business application for service and maintenance processes: Using ex post evaluation by end-users as input for iterative design

Legner, C., Urbach, N., & Nolte, C. (2016) · Information & Management · doi:10.1016/j.im.2016.03.001 · Cited by 22 · see citing works

Investigating The Determinants Of Purchase Intention In C2C E-Commerce

Kwahk, K.-Y., Ge, X., & Park, J. (2012) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1333701 · Cited by 22 · see citing works

Adoption Intentions Toward Interactive Digital Television Among Advertising Professionals

Cauberghe, V., & Pelsmacker, P. D. (2011) · Journal of Interactive Advertising · doi:10.1080/15252019.2011.10722184 · Cited by 19 · see citing works

Long term evolution mobile services and intention to adopt: a Malaysian perspective

Kitchen, P. J., Martin, R., & Che‐Ha, N. (2015) · Journal of Strategic Marketing · doi:10.1080/0965254x.2014.1001869 · Cited by 17 · see citing works

The influence factors of Electronic Bill Presentment and Payment—A case study of mobile phone bill

Huang, Y., Tsay, W.-D., Huang, C.-H., Lin, Y.-H., & Lai, M.-C. (2011) · International Conference on Artificial Intelligence, Management Science and Electronic Commerce · doi:10.1109/aimsec.2011.6010351 · Cited by 11 · see citing works

Understanding Pharmacists’ Intention to Use Medical Apps

Ng, S.-N., Matanjun, D., D'Souza, U. J. A., & Alfred, R. (2015) · Cited by 10 · see citing works

User Acceptance of a Proposed Self-Evaluation and Continuous Assessment System

Robles-Gómez, A., Ros, S., Hernández, R., Tobarra, L., Caminero, A. C., & Agudo, J. M. (2015) · Educational Technology & Society · Cited by 10 · see citing works

Factors Affecting Loyalty of Mobile Social Networks' Users

Hajiheydari, N., Maskan, B. H. H., & Ashkani, M. (2016) · International Journal of E-Business Research · doi:10.4018/ijebr.2017010104 · Cited by 7 · see citing works

The effects of mobile banking application user satisfaction and system usage on bank-customer relationships

Shaikh, A. A., & Karjaluoto, H. (2016) · International Academic Mindtrek Conference (Mindtrek) · doi:10.1145/2994310.2994330 · Cited by 7 · see citing works

A meta-analysis of antecedents and consequences of trust in mobile commerce

Sarkar, S., Chauhan, S., & Khare, A. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.008 · Cited by 375 · see citing works

A retentive consumer behavior assessment model of the online purchase decision-making process

Petcharat, T., & Leelasantitham, A. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e08169 · Cited by 152 · see citing works

Perceived values and motivations influencing m-commerce use: A nine-country comparative study

Ashraf, A. R., Thongpapanl, N., Anwar, A., Lapa, L., & Venkatesh, V. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102318 · Cited by 106 · see citing works

Exploring chatbot trust: Antecedents and behavioural outcomes

Alagarsamy, S., & Mehrolia, S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e16074 · Cited by 126 · see citing works

Understanding the users' motivation and barriers in adopting healthcare apps: A mixed-method approach using behavioral reasoning theory

Yadav, R., Giri, A., & Chatterjee, S. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121932 · Cited by 94 · see citing works

Scepticism and resistance to IoMT in healthcare: Application of behavioural reasoning theory with configurational perspective

Hajiheydari, N., Delgosha, M. S., & Olya, H. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120807 · Cited by 89 · see citing works

The interplay between eWOM information and purchase intention on social media: Through the lens of IAM and TAM theory

Rahaman, M. A., Hassan, H. M. K., Asheq, A. A., & Islam, K. M. A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0272926 · Cited by 127 · see citing works

Estimating and assessing second-order constructs using PLS-PM: the case of composites of composites

Schuberth, F., Rademaker, M. E., & Henseler, J. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-12-2019-0642 · Cited by 83 · see citing works

Digital Payments and Financial Wellbeing of the Rural Poor: The Moderating Role of Age and Gender

Dzogbenuku, R. K., Amoako, G. K., Kumi, D. K., & Bonsu, G. A. (2021) · Journal of International Consumer Marketing · doi:10.1080/08961530.2021.1917468 · Cited by 84 · see citing works

Investigating the role of mobile payment quality characteristics in the United Arab Emirates: implications for emerging economies

Mouakket, S. (2020) · International Journal of Bank Marketing · doi:10.1108/ijbm-03-2020-0139 · Cited by 63 · see citing works

Trust, Comfort and Relatability: Understanding Black Older Adults’ Perceptions of Chatbot Design for Health Information Seeking

Harrington, C., & Egede, L. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580719 · Cited by 64 · see citing works

The Use of Mobile Applications for Travel Booking: Impacts of Application Quality and Brand Trust

Albayrak, T., González-Rodríguez, M. R., Caber, M., & Karasakal, S. (2021) · Journal Of Vacation Marketing · doi:10.1177/13567667211066544 · Cited by 58 · see citing works

Understanding the Continuance Intention of Omnichannel: Combining TAM and TPB

Song, H. G., & Jo, H. (2023) · Sustainability · doi:10.3390/su15043039 · Cited by 51 · see citing works

Acceptance of Highly Automated Vehicles: The Role of Facilitating Condition, Technology Anxiety, Social Influence and Trust

Man, S.-S., Ding, M.-Q., Li, X., Chan, A. H. S., & Zhang, T. (2024) · International journal of human computer interactions · doi:10.1080/10447318.2024.2316389 · Cited by 38 · see citing works

Exploration of vulnerability factors of digital hoarding behavior among university students and the moderating role of maladaptive perfectionism

Zaremohzzabieh, Z., Abdullah, H. B., Ahrari, S., Abdullah, R., & Nor, S. M. M. (2024) · Digital Health · doi:10.1177/20552076241226962 · Cited by 41 · see citing works

A Meta-Analysis of Trust in Mobile Banking: The Moderating Role of Cultural Dimensions

Kumar, P., Chauhan, S., Gupta, P., & Jaiswal, M. P. (2023) · International Journal of Bank Marketing · doi:10.1108/ijbm-02-2022-0075 · Cited by 34 · see citing works

Consumer Behaviour and Mobile Payments in the Point of Sale: Exploring the Determinants of Intention to Adopt It

de Luna, I. R., Montoro-Ríos, F. J., Molinillo, S., & Liébana-Cabanillas, F. J. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2233135 · Cited by 29 · see citing works

Behavioral Intentions of Low-Achieving Students to Use Mobile English Learning: Integrating Self-Determination Theory, Theory of Planned Behavior, and Technology Acceptance Model Approaches

Bali, S., Chen, T.-C., & Liu, M.-C. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2364142 · Cited by 28 · see citing works

Digital marketing strategies for luxury fashion brands: A systematic literature review

Tam, F. Y., & Lung, J. (2024) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2024.100309 · Cited by 28 · see citing works

Factors Influencing Individual Customers Trust in Internet Banking: Case of Baltic States

Skvarciany, V., & Jurevičienė, D. (2018) · Sustainability · doi:10.3390/su10124809 · Cited by 26 · see citing works

Attitude toward 5G: The moderating effect of regulatory focus

Cheng, L., Huang, H.-L., & Yang, S.-Y. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101795 · Cited by 24 · see citing works

A Holistic Perspective Model of Plenary Online Consumer Behaviors for Sustainable Guidelines of the Electronic Business Platforms

Puengwattanapong, P., & Leelasantitham, A. (2022) · Sustainability · doi:10.3390/su14106131 · Cited by 24 · see citing works

Mobile Banking Adoption: Decomposed Theory of Planned Behavior with Perceived TrustPreprint

Jouda, H., Jarad, A. A., Obaid, T., مدلله, س. م. أ., & Awaja, A. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3660403 · Cited by 23 · see citing works

A meta-analysis of satisfaction in mobile banking: a contextual examination

Kumar, P., Chauhan, S., Kumar, S., & Gupta, P. (2023) · International Journal of Bank Marketing · doi:10.1108/ijbm-04-2023-0236 · Cited by 26 · see citing works

Impact of security on wallet adoption: multiple and serial mediating roles of trust and attitude and gender as a moderator

Joshi, H., & Chawla, D. (2024) · International Journal of Bank Marketing · doi:10.1108/ijbm-02-2023-0118 · Cited by 30 · see citing works

E-Commerce Competence Assessment Mobile Application Development for SMEs in Thailand

Wongkhamdi, T., Cooharojananone, N., & Khlaisang, J. (2020) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v14i11.11358 · Cited by 22 · see citing works

Using Different Error Handling Strategies to Facilitate Older Users' Interaction With Chatbots in Learning Information and Communication Technologies

Lin, W., Chen, H.-C., & Yueh, H.-P. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.785815 · Cited by 21 · see citing works

Will PLS have to become factor-based to survive and thrive?

Kock, N. (2024) · European Journal of Information Systems · doi:10.1080/0960085x.2024.2360564 · Cited by 20 · see citing works

Drivers of mobile learning app usage: an integrated perspective of personality, readiness, and motivation

Yeh, C., Wang, Y., Wang, Y.-M., & Liao, T.-J. (2021) · Interactive Learning Environments · doi:10.1080/10494820.2021.1937658 · Cited by 15 · see citing works

Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda

Sun, Y., Liu, C., & Zhang, C. (2021) · Mobile Information Systems · doi:10.1155/2021/9309904 · Cited by 17 · see citing works

Machine autonomy for rehabilitation of elderly people: A trade-off between machine intelligence and consumer trust

Shareef, M. A., Ahmed, J. U., Giannakis, M., Dwivedi, Y. K., Kumar, V., Butt, I., & Kumar, U. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.113961 · Cited by 15 · see citing works

Structural Equation Model of Acceptance Cloud Learning for Sustainability Usage in Higher Education Institutes

Ruangvanich, S., & Piriyasurawong, P. (2019) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v14i10.10045 · Cited by 13 · see citing works

Determining the intention to use app-based medicine service in an emerging economy

Ahmed, S., Alqasmi, I., Ashrafi, D. M., Choudhury, M. M., Rahman, M. K., & Mohiuddin, M. (2023) · International Journal of Healthcare Management · doi:10.1080/20479700.2023.2198186 · Cited by 12 · see citing works

Modeling the effect of word-of-mouth advertising on a mobile game installation based on the Bass diffusion model using system dynamics

Jafari, M., Parsanejad, M., & Makki, M. (2023) · Kybernetes · doi:10.1108/k-11-2022-1585 · Cited by 11 · see citing works

Attracting Potential Customers in E-Commerce Environments: A Comparative Study of Metaheuristic Algorithms

Yazdani, R., Taghipourian, M. J., Pourpasha, M. M., & Hosseini, S. S. (2022) · Processes · doi:10.3390/pr10020369 · Cited by 10 · see citing works

Loyalty and Customer Engagement in Online Grocery Shopping in Indonesia

Islam, H. A., & Balqiah, T. E. (2021) · International Conference on E-Commerce, E-Business and E-Government (ICEEG) · doi:10.1145/3466029.3466036 · Cited by 8 · see citing works

Examining the impact of trust on customer intention to use metaverse payments: A next-gen transactions strategic outlook

Dang, T.-Q., Đức, Đ. T. V., Tran, L.-H. P., & Nguyen, L.-T. (2025) · Corporate and Business Strategy Review · doi:10.22495/cbsrv6i1art16 · Cited by 7 · see citing works

Exploring Mobile Terminal Continuance Usage from Customer Value Perspective

Li, A.-S., Yang, X.-D., & Guo, F. (2019) · Inf. · doi:10.3390/info10020070 · Cited by 3 · see citing works

What drives university students to practice social distancing? Evidence from South Korea and Vietnam

Jo, H. (2022) · Asia Pacific Viewpoint · doi:10.1111/apv.12351 · Cited by 7 · see citing works

An Integrative Model on User Satisfaction and Continuance Intention for Using M-Banking

Özecan, M., & Arıkan, E. (2022) · Business and Economics Research Journal · doi:10.20409/berj.2022.384 · Cited by 7 · see citing works

Perceived Platform Quality and User Satisfaction in China Zisha-ware Digital Museum: Mediating Roles of Confirmation and Perceived Usefulness

Shi, M., Zhang, M., Chen, J., & Zhu, Y. (2025) · SAGE Open · doi:10.1177/21582440251376490 · Cited by 6 · see citing works

Promoting new users’ online health consultation services usage behavior strategically

Chen, A. H., Chu, W., & Peng, N. (2024) · Health Marketing Quarterly · doi:10.1080/07359683.2024.2340196 · Cited by 7 · see citing works

Does Experience Matter? Unraveling the Drivers of Expert and Non-Expert Mobile Consumers

Vinerean, S., Dabija, D., & Dominici, G. (2024) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer19020050 · Cited by 6 · see citing works

Sustainable Logistics: Exploring the Determinants of Consumer Attitudes and Intention to Use Toward Autonomous Delivery Services

Chen, Y., & Ryu, M. H. (2025) · Sustainability · doi:10.3390/su17083290 · Cited by 6 · see citing works

Exploring the impact of smart learning technologies on student engagement, e-trust, and satisfaction in higher education institutions: the moderating role of ethical perceptions

Ichrak, R., Battikh, W., & Khanchel, H. (2025) · Journal of New Approaches in Educational Research · doi:10.1007/s44322-025-00039-8 · Cited by 8 · see citing works

Which Is More Important in Fitness Apps, Continuance, Satisfaction, or Attitude Loyalty?

Li, A., Yang, X., & Guo, F. (2020) · International Journal of Technology and Human Interaction · doi:10.4018/ijthi.2021010107 · Cited by 5 · see citing works

Insights into Mobile Government Adoption Factors: A Comprehensive Analysis of Peduli Lindungi Application in Indonesia

Kurniasih, D., Setyoko, P. I., & Huda, M. N. (2024) · CommIT (Communication and Information Technology) Journal · doi:10.21512/commit.v18i1.9024 · Cited by 5 · see citing works

Investigating the success of an E-Auction system initiatives among public servants: Validation of an integrated IS success model

Bandiyono, A., & Muttaqin, A. H. H. (2020) · JEMA Jurnal Ilmiah Bidang Akuntansi dan Manajemen · doi:10.31106/jema.v17i2.9044 · Cited by 5 · see citing works

Behavioral Intentions of Low-Achieving Students to Use Mobile English Learning: Integrating Self-Determination Theory, Theory of Planned Behavior, and Technology Acceptance Model ApproachesPreprint

Bali, S. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5146052 · Cited by 5 · see citing works

A Stimulus-Organism-Response Paradigm to Word-of-Mouth and Continuance Intention of Mobile Application

Lim, Y. V., Ng, S. L., Oh, W. L., Tan, W. Y., Too, Y. Z., Loh, X.-M., & Tan, G. W. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-25274-7_16 · Cited by 3 · see citing works

Assessing public satisfaction of public service application using supervised machine learning

Mustaqim, I. Z., Puspasari, H. M., Utami, A. T., Syalevi, R., & Ruldeviyani, Y. (2024) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v13.i2.pp1608-1618 · Cited by 7 · see citing works

Understanding Factors Influencing the Usage Intention of Mobile Pregnancy Applications

Sampat, B. H., Sharma, A., & Prabhakar, B. R. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-64849-7_57 · Cited by 3 · see citing works

From perception to continuance usage: How smartwatch health features influence consumer attitudes, health improvement expectancy, and well-being

Uray, N., Daim, T. U., Çebi, F., Al-Kilani, S., & Bolatan, G. İ. S. (2026) · Technology in Society · doi:10.1016/j.techsoc.2026.103314 · Cited by 2 · see citing works

Learning Management System Usage among Undergraduates (Evidence from a Non-State University in Sri Lanka)

Jayarathna, R. M. G. S. (2021) · Asian Journal of Economics Business and Accounting · doi:10.9734/ajeba/2021/v21i1230447 · Cited by 2 · see citing works

A critical review of system quality and user intentions

Jeyaraj, A. (2025) · Journal of Systems and Information Technology · doi:10.1108/jsit-11-2024-0429 · Cited by 2 · see citing works

Investigating The Determinants of Mobile Banking Usage

Fitriati, A., Ardiani, C., Pramono, H., Pratama, B. C., & Mudjiyanti, R. (2022) · International Conference of Business, Accounting, and Economics (ICBAE) · doi:10.4108/eai.10-8-2022.2320913 · Cited by 2 · see citing works

The Impact of System Quality Dimensions on Trust in Mobile Commerce Adoption Intention: Palestinian Customer’s Viewpoint

Herzallah, F. A. T. (2021) · مجلة جامعة فلسطين التقنية للأبحاث · doi:10.53671/pturj.v9i4.211 · Cited by 1 · see citing works

Assessing Users’ Resistance Towards a New Information System: An Empirical Study Based on Status Quo Bias

Youssef, A., & Hájek, P. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-70285-3_5 · Cited by 1 · see citing works

Mobile Health Adoption in Developing Countries: A Study in Iran

Ashkani, M. (2026) · International Journal of Telemedicine and Applications · doi:10.1155/ijta/5525487 · Cited by 1 · see citing works

The Role of Social Media in Promoting Mobile Payment: A Qualitative Study of Consumers in Macao

Tam, F. Y., Lung, J., Iao, C. H., Chong, N. L., & Mak, I. K. (2023) · Journal of Economics and Business · doi:10.31014/aior.1992.06.01.500 · Cited by 1 · see citing works

Emerging Trends in M-Commerce Consumer Behavior

Ettis, S. A., & Abidine, A. B. Z. E. (2019) · International Journal of Mobile Devices Wearable Technology and Flexible Electronics · doi:10.4018/ijmdwtfe.2019070102 · Cited by 2 · see citing works

Mobile Application for Gate Pass Management System Enhancement

Hilary, R., Machuve, D. Z., & Mirau, S. (2021) · IEEE AFRICON · doi:10.1109/africon51333.2021.9570919 · Cited by 1 · see citing works

YENİLİKLERİN YAYGINLAŞMASI VE GENİŞLETİLMİŞ TEKNOLOJİ KABUL MODELİNİN BÜTÜNLEŞTİRİLMESİYLE TÜRKİYE’DE MOBİL UYGULAMA KULLANMA NİYETİNİN ARAŞTIRILMASI

KARABIYIK, B. K., & ÇETİN, M. (2021) · Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi · doi:10.18070/erciyesiibd.877730

Are Satisfied Customers Willing to Pay More for Extra Services?

Su, X., Ma, X., Xiang, P., & Akram, U. (2022) · International Journal of Technology and Human Interaction · doi:10.4018/ijthi.299359

The Success Factors of Mobile GPS Navigation Applications among Tourists in Malaysia

(2019) · International Journal of Recent Technology and Engineering (IJRTE) · doi:10.35940/ijrte.c1101.1083s219

Factors of Behavioral Intention and Use Behavior on Mutual Fund Mobile Applications in Indonesia: A Systematic Literature Review

Putri, S. S., Alhakim, A., Nuraini, R., & Chandra, Y. U. (2023) · International Conference on Industrial Engineering and Operations Management (IEOM) · doi:10.46254/an12.20220619

Mobile application for gate pass management system enhancement

Hilary, R. (2022) · doi:10.58694/20.500.12479/1608

Factors affecting E-loyalty for an e-commerce company - SEM approach

Nandi, S., & Parkhi, S. (2023) · AIP conference proceedings · doi:10.1063/5.0175771

The Design and Evaluation of a Mental Health Educational App for Paternal Postpartum Depression

Mulgund, P., Li, Y., Singh, R. K., Purao, S., & Agrawal, L. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2470283

Exploring the motivation-usage nexus: a configurational analysis of users'behavior patterns in mobile health

Jin, X., Feng, Y., & Zhou, Z. (2025) · Information Technology and Management · doi:10.1007/s10799-025-00461-6

Investigating consumers’ behavioral intentions in the adoption of 5G mobile networks: a holistic approach to technology acceptance and business process integration

Susanto, H., Ahamad, I. N. H., & Susanto, A. K. S. (2025) · Frontiers in Communications and Networks · doi:10.3389/frcmn.2025.1594378

Why Do Shoppers Prefer M-Commerce? Discovering Key Drivers Based on a SEM–ANN Approach

Vinerean, S., Ţîmbalari, C., & Opreana, A. (2025) · Studies in Business and Economics · doi:10.2478/sbe-2025-0057

The Effect of Omnichannel Customer Experience on Repurchase Intention and Recommendation Intention: The Mediating Effects of Trust and Shopping Inertia*

Khongorzul, T., Ji, S., & Na, Y. (2026) · Journal of Channel and Retailing · doi:10.17657/jcr.2026.4.30.5

Investigating the Factors Driving Consumers’ Intention to Use Mobile Banking Applications: An Integrated Acceptance Model

Olma, K., Rutecka, P., & Strzelecki, A. (2025) · Smart innovation, systems and technologies · doi:10.1007/978-981-97-3698-0_25

A Study on the Factors of Mobile Applications Adoption

Han, P.-K., Park, J.-S., Jun, B., & Kang, B.-G. (2010) · Journal of the Korea society of IT services · Cited by 12 · see citing works

An examination of the decision-making process for utilization of mobile applications in the MICE industry

Lee, K. E. (2016) · doi:10.31274/etd-180810-4615 · Cited by 2 · see citing works

Investigating the Determinants effects of Intention on the Use of UAE Government Mobile Apps (GMA) Users : A Quantitative Approach to Examine the Extended Technology Acceptance Model (TAM)

Alhammadi, S. M. K. Z., & Alshurideh, M. T. (2025) · International Journal of Management and Marketing Intelligence · doi:10.64251/ijmmi.76

Investigation of Factors Affecting Mobile Banking Intention to Use: Extended Technology Acceptance Model

Çelik, K., & Özköse, H. (2023) · Journal of Business Research - Turk · doi:10.20491/isarder.2023.1663 · Cited by 5 · see citing works