References
- Ahmad, M. O., Markkula, J., and Oivo, M. (2013). Factors affecting e-government adoption in Pakistan: A citizen's perspective. Transforming Government: People, Process and Policy, 7(2), 225-239. https://doi.org/10.1108/17506161311325378
- Ahmad, S. Z., and Khalid, K. (2017). The adoption of M-government services from the user's perspectives: Empirical evidence from the United Arab Emirates. International Journal of Information Management, 37, 367-379. doi: 10.1016/j.ijinfomgt.2017.03.008.
- Ajzen, I., and Fishbein, M. (1980). Understanding attitudes and predicting social behavior: Attitudes, intentions, and perceived behavioral control. Englewood Cliffs, NJ: Prentice Hall.
- Al Hujran, O., Aloudat, A., and Altarawneh, I. (2013). Factors influencing citizen adoption of e government in developing countries: The case of Jordan. International Journal of Technology and Human Interaction, 9(2), 1-19. https://doi.org/10.4018/jthi.2013040101
- AlBar, A. M., and Hoque, M. R. (2019). Patient acceptance of e-Health services in Saudi Arabia: An integrative perspective. Telemedicine and e-Health, 25(9), 847-852. doi: 10.1089/tmj.2018.0107.
- Alhashmi, S. S., Salloum, S. A., and Abdallah, S. (2019). Critical success factors for implementing artificial intelligence (AI) projects in Dubai Government United Arab Emirates (UAE) Health Sector: Applying the Extended Technology Acceptance Model (TAM). International Conference on Advanced Intelligent Systems and Informatics.
- All Reports Contribution of Smartphones to Digital Governance in India (2021, March). Retrieved from India Cellular & Electronics Association, https://icea.org.in/wp-content/uploads/2020/07/Contribution-of-Smartphones-to-Digital-Governancein-India-09072020.pdf'.
- Al-Shafi, S., Weerakkody, V., and Janssen, M. (2009). Investigating the Adoption of eGovernment Services in Qatar Using the UTAUT Model. AMCIS , 260.
- Alzahrani, L., Al-Karaghouli, W., and Weerakkody, V. (2018). Investigating the impact of citizens' trust toward the successful adoption of e-Government: A multigroup analysis of gender, age, and internet experience. Information Systems Management, 35(2), 124-146. https://doi.org/10.1080/10580530.2018.1440730
- Ayyash, M. M., Ahmad, K., and Singh, D. (2013). Investigating the effect of information systems factors on trust in e-Government initiative adoption in palestinian public sector. Research Journal of Applied Sciences, Engineering and Technology, 5(15), 3865-3875. https://doi.org/10.19026/rjaset.5.4447
- Bagozzi, R. (1981). Attitudes, intentions, and behavi or: A test of some key hypotheses. Journal of Personal ity and Social Psychology, 41(4), 607-627. doi: 10.1037/0022-3514.41.4.607.
- Bamufleh, D., Alshamari, A. S., Alsobhi, A. S., Ezzi, H. H., and Alruhaili, W. S. (2021). Exploring public attitudes toward e-Government health applications used during the COVID-19 pandemic: Evidence from Saudi Arabia. Computer and Information Science, 14(3). Retrieved from https://doi.org/10.5539/cis.v14n3p1.
- Beldad, A., Geest, T. v., Jong, M. d., and Steehouder, M. (2012). A cue or two and I'll trust you: Determinan ts of trust in government organizations in terms of their processing and usage of citizens' personal information disclosed online. Government Information Quarterly, 29(1), 41-49. doi: 10.1016/j.giq.2011.05.003.
- Bentler, P. M., and Speckart, G. (1979). Models of attitude-behavior relations. Psychological Review, 86(5), 452-464. https://doi.org/10.1037/0033-295X.86.5.452
- Campo, K., and Breugelmans, E. (2015, August). Buying groceries in brick and click stores: Category allocation decisions and the moderating effect of online buying experience. Journal of Interactive Marketing, 31, 63-78. doi: 10.1016/j.intmar.2015.04.001.
- Carter, L., and Belanger, F. (2005). The utilization of e-Government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5-25. doi: 10.1111/j.1365-2575.2005.00183.x
- Cegarra-Navarro, J. -G., Martinez-Caro, E., Moreno-Cegarra, J. -L., and Eldridge, S. (2014). The value of extended framework of TAM in the electronic government. The Electronic Journal of Knowledge Management, 12(1), 14-24.
- CencusInfo India 2011. (n.d.). Retrieved September 3, 2021, from Office of the Registrar General & Census Commissioner, India: http://www.dataforall.org/dashboard/censusinfoindia_pca/.
- Chawla, D., and Joshi, H. (2018). The moderating effect of demographic variabls on mobile banking adoption: An empirical investigation. Global Business Review, 19(3S), 90S-113S. https://doi.org/10.1177/0972150918757883
- Chin, S. -L., and Goh, Y. -N. (2017). Consumer purchase intention toward online grocery shopping: View from Malaysia. Global Business and Management Research: An International Journal, 9(4), 221-238.
- Choi, H., Kim, Y., and Kim, J. (2010). An acceptance model for an internet protocol television service in Korea with prior experience as a moderator. The Service Industries Journal, 30(11), 1883-1901. https://doi.org/10.1080/02642060802627178
- Colesca, S. E. (2009). Increasing e-trust: A solution to minimize risk in e-Government adoption. Journal of Applied Quantitative Methods, 4(1), 31-44.
- Dashboard: Aaple Sarkar. (2021, October 17). Retrieved October 17, 2021, from Aaple Sarkar Web site: https://aaplesarkar.mahaonline.gov.in/en/CommonForm/DashBoard_Count.
- Davis, F. D. (1989, September). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319-339. https://doi.org/10.2307/249008
- Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
- Dwivedi, Y. K., Rana, N. P., Janssen, M., Lal, B., Williams, M. D., and Clement, M. (2017). An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly, 34(2), 211-230. https://doi.org/10.1016/j.giq.2017.03.001
- Eagly, A., and Chaiken, S. (1993). The Psychology of Attitudes. (5 ed., Vol. 12). John Wiley & Sons, Inc. doi: 10.1002/mar.4220120509.
- Evans, D., and Yen, D. C. (2006). e-Government: evolving relationship of citizens and government, domestic, and international development. Government Information Quarterly, 23(2), 207-235. https://doi.org/10.1016/j.giq.2005.11.004
- Fazio, R. H., and Zanna, M. P. (1978). Attitudinal qualities relating to the strength of the attitude-behavior relationship. Journal of Experimental Social Psychology, 14(4), 398-408. doi: 10.1016/0022-1031(78)90035-5.
- Fishbein, M., and Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An introduction to theory and research. Addison-Wesley.
- Gao, B., and Huang, L. (2019). Understanding interactive user behavior in smart media content service: An integration of TAM and smart service belief factors. Heliyon, 5(12), doi: 10.1016/j.heliyon.2019.e02983.
- Gefen, D. (2003). TAM or just plain habit: A look at experienced online shoppers. Journal of End User Computing, 15(3), 1-13. https://doi.org/10.4018/joeuc.2003070101
- Hair, J. F., Hult, G. T., Ringle, C. M., and Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Los Angeles: SAGE Publications Inc.
- Henseler, J., Hubona, G., and Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 118(1), 2-20. doi: 10.1108/IMDS-09- 2015-0382.
- Henseler, J., Ringle, C. M., and Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405-431. doi: 10.1108/IMR-09-2014-0304.
- HindRise Social Welfare Foundation. (2021, March 30). Retrieved from https://hindrise.org/villageecommerce.
- Hoque, R. M., Bao, Y., and Sorwar, G. (2016). Investigating factors influencing the adoption of e-Health in developing countries: A patient's perspective. Informatics for Health and Social Care, 42(1), 1-17. Retrieved from https://doi.org/10.3109/17538157.2015.1075541.
- Hu, L. t., and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. doi: 10.1080/10705519909540118.
- Karahanna, E., Straub, D. W., and Chervany, N. L. (1999, June). Information technology adoption across time: A cross-sectional comparison of preadoption and post-adoption beliefs. MIS Quarterly, 23(2), 183-213. doi: 10.2307/249751
- Karunasena, K., and Deng, H. (2012). A citizen-oriented approach for evaluating the performance of e-Government in Sri Lanka. International Journal of Electronic Government Research, 44-63. doi: 10.4018/jegr.2012010103.
- Kim, J., and Lee, K. S. -S. (2020, June 19). Conceptual model to predict Filipino teachers' adoption of ICT-based instruction in class: Using the UTAUT model. Asia Pacific Journal of Education, 1-15. doi: 10.1080/02188791.2020.1776213.
- Kim, T. T., Karatepe, O. M., Lee, G., and Demiral, H. (2018). Do gender and prior experience moderate the factors influencing attitude toward using social media for festival attendance? Sustainability, 10(3509), 1-19. https://doi.org/10.3390/su10020001
- Kim, J., and Wang, J. (2020, December). Examining factors that determine the use of social media privacy settings: Focused on the mediating effect of implementation intention to use privacy settings. Asia Pacific Journal of Information Systems, 30(4), 919-945. doi: 10.14329/apjis.2020.30.4.919.
- Kumar, V., Mukerji, B., Butt, I., and Persaud , A. (2007). Factors for successful e-Government adoption: A conceptual framework. The Electronic Journal of e-Government, 5(1), 63-76.
- Lallmahamood, M. (2007, December). An examination of individual's perceived security and privacy of the internet in Malaysia and the influence of this on their intention to use e-commerce: Using an extension of the technology acceptance model. Journal of Internet Banking and Commerce, 12(3), 1-26.
- Lim, S., Xue, L., Yen, C. C., Chang, L., Chan, H. C., Tai, B. C., ... and Choolanif, M. (2011). A study on Singaporean women's acceptance of using A study on Singaporean women's acceptance of using. International Journal of Medical Informatics, 80(12), 189-202. https://doi.org/10.1016/j.ijmedinf.2011.08.007
- Lim, W. M., and Ting, D. H. (2012). E-shopping: an analysis of the technology acceptance model. Modern Applied Science, 6(4). doi: 10.5539/mas.v6n4p49.
- Lu, Y., Cao, Y., Wang, B., and Yang, S. (2011, January). A study on factors that affects users' behavioral intention to transfer usage from the offline to online channel. Computers in Human Behavior, 27(1), 355-364. doi: 10.1016/j.chb.2010.08.013.
- Ma, L. (2021). Understanding non-adopters' intention to use internet pharmacy: Revisiting the roles of trustworthiness, perceived risk and consumer traits. Journal of Engineering and Technology Management, 59. Retrieved from https://doi.org/10.1016/j.jengtecman.2021.101613.
- Miller, J., and Khera, O. (2010). Digital library adoption and the technology acceptance model: A cross-country analysis. The Electronic Journal on Information Systems in Developing Countries, 40(6), 1-19. https://doi.org/10.1002/j.1681-4835.2010.tb00288.x
- Moryson, H., and Moeser, G. (2016). Consumer adoption of cloud computing services in Germany: Investigation of moderating effects by applying an UTAUT model. International Journal of Marketing Studies, 8(1), 14-32. https://doi.org/10.5539/ijms.v8n1p14
- Muir, A., and Oppenheim, C. (2002). National information policy developments worldwide I: electronic government. Journal of Information Science, 28(3), 173-186. https://doi.org/10.1177/016555150202800301
- Norris, D. F., Fletcher, P. D., and Holden, S. H. (2001). Is your local government plugged in? Highlights of the 2000 electronic government survey. International City/County Management Association (ICMA) and Public Technology, Inc. (PTI), 1-12.
- Nunnally, J., and Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
- Overview of PMGDISHA. (2021, March 30). Retrieved from Ministry of Electronics & Information Technology: https://www.pmgdisha.in/about-pmgdisha.
- Pramatari, K., and Theotokis, A. (2009). Consumer acceptance of RFID-enabled services: A model of multiple attitudes, perceived system characteristics and individual traits. European Journal of Information Systems, 18(6), 541-552. https://doi.org/10.1057/ejis.2009.40
- Ramirez-Correa, P. E., Rondan-Cataluna, F. J., and Arenas-Gaitan, J. (2014, September). An empirical analysis of mobile Internet acceptance in Chile. Information Research, 19(3), Retrieved from http://InformationR.net/ir/19-3/paper635.html.
- Rana, N., Dwivedia, Y., Williams, M., and Weerakkody, V. (2016, June). Adoption of online public grievance redressal system in India: Toward developing a unified view. Computers in Human Behavior, 59, 265-282. doi: 10.1016/j.chb.2016.02.019
- Ray, S., and Mukherjee, A. (2007). Development of a framework towards successful implementation of e-Governance initiatives in health sector in India. International Journal of Health Care Quality Assurance, 20(6), 464-483. https://doi.org/10.1108/09526860710819413
- Reddick, C. G. (2006). Information resource managers and e-Government effectiveness: A survey of Texas state agencies. Government Information Quarterly, 23(2), 249-266. https://doi.org/10.1016/j.giq.2005.11.006
- Regan, D. T., and Fazio, R. (1977). On the consistency between attitudes and behavior: Look to the method of attitude formation. Journal of Experimental Social Psychology, 13, 28-45. https://doi.org/10.1016/0022-1031(77)90011-7
- Rehman, M., Esichaikul, V., and Kamal, M. (2012). Factors influencing e-Government adoption in Pakistan. Transforming Government: People, Process and Policy, 6(3), 258-282. https://doi.org/10.1108/17506161211251263
- Robinson, T. (2000, April 17). Internet banking: still not a perfect marriage. informationweek.com, pp. 104-106.
- Rural eCommerce: The untapped potential. (2018). Ernst & Young LLP. Retrieved from https://invest-india-revamp-static-files.s3.ap-south-1.amazonaws.com/s3fs-public/2019-03/ey-rural-ecommerce-the-untapped-potential.pdf.
- Syamsudin, Meiyanti, R., Satria, D., Wahyuni, R., and Sensuse, D. I. (2018). Exploring factors influence behavioral intention to use e-Government services using unified theory of acceptance and use of technology 2 (UTAUT2). IEEE, (pp. 237-242). Yogyakarta-Indonesia. doi: 10.1109/ISRITI.2018.8864474.
- Saw, S. -L., Goh, Y. -N., and Isa, S. M. (2015). Exploring consumers' intention toward online hotel reservations: Insights from Malaysia. Problems and Perspectives in Management, 13(2), 249-257.
- Shareef, M. A., Archer, N., Kumar, V., and Kumar, U. (2010). Developing fundamental capabilities for successful e-Government implementation. International Journal of Public Policy, 6(3/4), 318-335. https://doi.org/10.1504/IJPP.2010.035133
- Shareef, M. A., Kumar, V., Kumar, U., and Dwivedi, Y. K. (2011). E-Government adoption model (GAM): Differing service maturity levels. Government Information Quarterly, 28(1), 17-35. doi: 10.1016/j.giq.2010.05.006.
- Sharma, S. K. (2015). Adoption of e-government services: The role of service quality dimensions and demographic variables. Transforming Government: People, Process and Policy, 9(2), 207-222. https://doi.org/10.1108/TG-10-2014-0046
- Soto-Acosta, P., Molina-Castillo, F. J., Lopez-Nicolas, C., and Colomo-Palacios, R. (2014). The effect of information overload and dis-organisation on intention to purchase online: The role of perceived risk and internet experience. Online Information Review, 38(4), 543-561. https://doi.org/10.1108/OIR-01-2014-0008
- Sun, H., and Zhang, P. (2006). The role of moderating factors in user technology acceptance. International journal of human-computer studies, 64(2), 53-78. https://doi.org/10.1016/j.ijhcs.2005.04.013
- Tavitiyaman, P., Zhang, X., and Tsang, W. Y. (2020). How tourists perceive the usefulness of technology adoption in hotels: Interaction effect of past experience and education level. Journal of China Tourism Research. doi: 10.1080/19388160.2020.1801546.
- Taylor, S., and Todd, P. A. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(2), 561-570. https://doi.org/10.2307/249633
- Tong, X. (2010). A cross national investigation of an extended technology acceptance model in the online shopping context. International Journal of Retail & Distribution Management, 38(10), 742-759. https://doi.org/10.1108/09590551011076524
- Triandis, H. C. (1979). Values, attitudes, and interpersonal behavior. Nebraska Symposium on Motivation, 195-259.
- Udayan, T. (2020, August 5). 17 Best Online Shopping Apps in India for 2021. Retrieved June 2021, from mindster.com, https://mindster.com/best-online-shopping-apps-india/.
- Undale, S., and Patil, H. (2021). Challenges in implementation of e-Governance in India: A literature review. Journal of Education: Rabindra Bharati University, 24(5), 155-165.
- Vaittinen, E., and Nenonen, S. (2018). Antecedents of consumer acceptance of a manufacturer's goods-related service. Services Marketing Quarterly, 39(4), 310-329. doi: 10.1080/15332969.2018.1514796.
- Venkatesh, V., and Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
- Venkatesh, V., Morris, M., Davis, G., and Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
- Venkatesh, V., and Speier, C. (2000). Creating an effective training environment for enhancing telework. International Journal of Human-Computer Studies, 52, 991-1005. https://doi.org/10.1006/ijhc.1999.0367
- Venkatesh, V., Sykes, T. A., and Venkatraman, S. (2014). Understanding e-Government portal use in rural India: Role of demographic and personality characteristics. Information Systems Journal, 24, 249-269. doi: 10.1111/isj.12008.
- Venkatesh, V., Thong, J. Y., and Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328-337. https://doi.org/10.17705/1jais.00428