Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 236

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

The effects of trust on behavioral intention and use behavior within e-government contexts

Open access
Hooda, Apeksha, Gupta, Parul, Jeyaraj, Anand, Giannakis, Mihalis, Dwivedi, Yogesh K.·2022·International Journal of Information Management

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ijinfomgt.2022.102553

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 16 references

Research works printed but not linked: 147

  1. Abu-Shanab, 2014, Antecedents of trust in e-government services: An empirical test in Jordan, Transforming Government: People, Process and Policy, 10.1108/TG-08-2013-0027 · DOI · Paper page
  2. Abu-Shanab, 2015, Major factors influencing the adoption of m-government in Jordan, Electronic Government, 11, 223, 10.1504/EG.2015.071394 · DOI
  3. Ahmad, 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, 10.1016/j.ijinfomgt.2017.03.008 · DOI · Paper page
  4. Al Mansoori, 2018, Investigating Emirati citizens’ adoption of e-government services in Abu Dhabi using modified UTAUT model, Information Technology & People, 31, 455, 10.1108/ITP-12-2016-0290 · DOI
  5. Al Nagi, 2009, Computerization and e-Government implementation in Jordan: Challenges, obstacles and successes, Government Information Quarterly, 26, 577, 10.1016/j.giq.2009.04.003 · DOI
  6. Al Nidawy, 2020, E-government trust model (egov-trust) that enhances the usage of e-government services among users in iraq, Journal of Theoretical and Applied Information Technology, 98, 402
  7. Alalwan, 2016, Customers’ intention and adoption of telebanking in Jordan, Information Systems Management, 33, 154, 10.1080/10580530.2016.1155950 · DOI
  8. AlBar, 2018, Exploring Saudi Citizens’ acceptance of mobile government service, International Journal of Advanced Computer Science and Applications, 9, 397, 10.14569/IJACSA.2018.091156 · doi:10.14569/ijacsa.2018.091156
  9. Alharbi, 2017, The impact of security and its antecedents in behaviour intention of using e-government services, Behaviour & Information Technology, 36, 620, 10.1080/0144929X.2016.1269198 · DOI
  10. Al-Hujran, 2015, The imperative of influencing citizen attitude toward e-government adoption and use, Computers in Human Behavior, 53, 189, 10.1016/j.chb.2015.06.025 · DOI · Paper page
  11. Alkraiji, 2020, Citizen Satisfaction with Mandatory E-Government Services: A Conceptual Framework and an Empirical Validation, IEEE Access, 8, 117253, 10.1109/ACCESS.2020.3004541 · DOI
  12. Almahamid, 2010, The relationship between perceived usefulness, perceived ease of use, perceived information quality, and intention to use E-government, Journal of Theoretical and Applied Information Technology, 11, 30
  13. Almaiah, 2020, Factors influencing the adoption of e-government services among Jordanian citizens, Electronic Government, 16, 236, 10.1504/EG.2020.108453 · DOI
  14. Almaiah, 2020, Mobile Government Adoption Model Based on Combining GAM and UTAUT to Explain Factors According to Adoption of Mobile Government Services, International Journal of Interactive Mobile Technologies, 14, 199, 10.3991/ijim.v14i03.11264 · DOI
  15. Almarashdeh, 2017, How to make them use it? Citizens acceptance of M-government, Applied Computing and Informatics, 13, 194, 10.1016/j.aci.2017.04.001 · DOI
  16. Al-Omairi, 2020, Students’ intention to adopt e-government learning services: A developing country perspective, Library Hi Tech, 39, 308, 10.1108/LHT-02-2020-0034 · DOI
  17. Alqaralleh, 2020, An integrated conceptual model for m-government acceptance in developing countries: The case study of Jordan, International Journal of Interactive Mobile Technologies, 14, 115, 10.3991/ijim.v14i06.11449 · DOI
  18. Alryalat, 2015, Citizen’s adoption of an e-government system: Validating the extended theory of reasoned action (TRA), International Journal of Electronic Government Research, 11, 1, 10.4018/IJEGR.2015100101 · DOI
  19. Al-Sammarraie, 2017, Understanding continuance usage intention of electronic government service from the perspectives of UTAUT in the context of dangerous region, International Journal of Economic Research, 14, 119
  20. Al-Sulami, 2018, Measuring the success of e-government systems: Applying the success model of the delone and mclean information system, Journal of Theoretical and Applied Information Technology, 96, 7654
  21. Al-Swidi, 2019, How robust is the UTAUT theory in explaining the usage intention of e-government services in an unstable security context?: A study in Iraq, Electronic Government: An International Journal, 15, 37, 10.1504/EG.2019.096580 · DOI
  22. Al-Zahrani, 2020, Integrating IS success model with cybersecurity factors for e-government implementation in the Kingdom of Saudi Arabia, International Journal of Electrical and Computer Engineering, 10, 4937, 10.11591/ijece.v10i5.pp4937-4955 · DOI
  23. Al-Zoubi, 2019, The components which affect the adoption of e-government application in Jordan, International Journal of Advanced Science and Technology, 28, 666
  24. Ambali, 2009, E-government policy: Ground issues in e-filing system, European Journal of Social Sciences, 11, 249
  25. Anthopoulos, 2014, Trends in e-Strategic Management: How do Governments Transform their Policies?, International Journal of Public Administration in the Digital Age, 1, 15, 10.4018/ijpada.2014010102 · DOI
  26. Anthopoulos, 2016, Why e-government projects fail ? An analysis of the Healthcare. gov website, Government Information Quarterly, 33, 161, 10.1016/j.giq.2015.07.003 · DOI · Paper page
  27. Ayyash, 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, 3865, 10.19026/rjaset.5.4447 · DOI
  28. Azam, 2013, Determinants of e-government services adoption in Pakistan: An integrated model, Electronic Government, an International Journal, 10, 105, 10.1504/EG.2013.052597 · DOI
  29. Belanche, 2012, Integrating trust and personal values into the technology acceptance model: The case of e-government services adoption, Cuadernos Délelőtt Economia York Direccion Délelőtt Louisiana Empresa, 15, 192, 10.1016/j.cede.2012.04.004 · DOI · Paper page
  30. Bélanger, 2008, Trust and risk in e-government adoption, The Journal of Strategic Information Systems, 17, 165, 10.1016/j.jsis.2007.12.002 · DOI · Paper page
  31. Bentler, 1980, Significance tests and goodness of fit in the analysis of covariance structures, Psychological Bulletin, 88, 588, 10.1037/0033-2909.88.3.588 · DOI · Paper page
  32. Berlilana, 2018, Effects of Relationship Quality on Citizen Intention Use of E-government Services: An Empirical Study of E-government System, International Journal of Electrical and Computer Engineering (IJECE, 8, 5127, 10.11591/ijece.v8i6.pp5127-5133 · DOI
  33. Bin Musa, 2019, Factors affecting Libyan citizens satisfaction with e-government services, International Journal of Innovation, Creativity and Change, 6, 1
  34. Browne, 1989, Single sample cross-validation indices for covariance structures, Multivariate Behavioral Research, 24, 445, 10.1207/s15327906mbr2404_4 · DOI · Paper page
  35. Burhanudddin, 2019, Determinants of citizen’s intention to use online e-government services: A validation of umega model, Polish Journal of Management Studies, 20, 119, 10.17512/pjms.2019.20.1.10 · DOI
  36. Carlsson C., Carlsson J., Hyvonen K., Puhakainen J., & Walden P. (2006). Adoption of mobile devices/services—searching for answers with the UTAUT. In Proceedings of the 39th annual Hawaii international conference on system sciences, 2006. HICSS’06 (pp. 132a–132a). IEEE, New Jersey;6. · DOI · Paper page
  37. Carmines, 1981, Analyzing models with unobserved variables: Analysis of covariance structures, Social measurement: Current issues, 80, 65
  38. Carter, 2008, E-government adoption: A cultural comparison, Information Systems Frontiers, 10, 473, 10.1007/s10796-008-9103-6 · DOI · Paper page
  39. Carter, 2011, The role of security and trust in the adoption of online tax filing, Transforming Government: People, Process and Policy, 10.1108/17506161111173568 · DOI
  40. Carter, 2012, E-government utilization: Understanding the impact of reputation and risk, International Journal of Electronic Government Research (IJEGR), 8, 83, 10.4018/jegr.2012010105 · DOI
  41. Carter, 2016, Citizen Adoption of E-Government Services: Exploring Citizen Perceptions of Online Services in the United States and United Kingdom, Information Systems Management, 33, 124, 10.1080/10580530.2016.1155948 · DOI · Paper page
  42. Chan, 2020, Service Design and Citizen Satisfaction with e-government Services: A Multidimensional Perspective, Public Administration Review, 81, 874, 10.1111/puar.13308 · DOI
  43. Chen, 2020, Determinants of E-government Adoption: Testing the Mediating Effects of Perceived Usefulness and Perceived Ease of Use, International Journal of Public Administration, 43, 850, 10.1080/01900692.2019.1660989 · DOI · Paper page
  44. Chen, 2018, The barriers of e-government success: An empirical study from Jordan, International Journal of Managing Public Sector Information and Communication Technologies, (IJMPICT), 9
  45. Chen, 2003, Interpreting dimensions of customer trust in e-commerce, Information Technology and Management, 303, 10.1023/A:1022962631249 · DOI · Paper page
  46. Chung, 2016, Determinants of Public Servants’ Intention to Adopt E-Government Learning, Review of Public Personnel Administration, 36, 396, 10.1177/0734371X15590482 · DOI
  47. Coursey, 2008, Models of e-government: Are they correct? An empirical assessment, Public Administration Review, 68, 523, 10.1111/j.1540-6210.2008.00888.x · DOI · Paper page
  48. Dwivedi, 2007, Examining the factors affecting the adoption of broadband in the Kingdom of Saudi Arabia, Electronic Government, 4, 43, 10.1504/EG.2007.012178 · DOI
  49. Dwivedi, 2020, A meta-analysis based modified unified theory of acceptance and use of technology (meta-UTAUT): a review of emerging literature, Current Opinion in Psychology, 36, 13, 10.1016/j.copsyc.2020.03.008 · DOI · Paper page
  50. Dwivedi, 2015, Research on information systems failures and successes: Status update and future directions, Information Systems Frontiers, 17, 143, 10.1007/s10796-014-9500-y · DOI · Paper page
  51. Eid, 2020, Understanding citizen intention to use m-government services: An empirical study in the UAE, Transforming Government: People, Process and Policy
  52. Faaeq, 2017, Factors influencing electronic government services adoption in the risky environment: A structural equation modelling approach, International Journal of Economic Research, 14, 531
  53. Friedman, 2000, Dodging the grabbing hand: The determinants of unofficial activity in 69 countries, Journal of Public Economics, 76, 459, 10.1016/S0047-2727(99)00093-6 · DOI · Paper page
  54. Gilbert, 2004, Barriers and benefits in the adoption of e-government, The International Journal of Public Sector Management, 17, 286
  55. Gu, 2016, An empirical study on factors influencing consumers’ initial trust in wearable commerce, Journal of Computer Information Systems, 56, 79, 10.1080/08874417.2015.11645804 · DOI
  56. Gultom, 2020, The influence of attitude and subjective norm on citizen’s intention to use e-government services, Journal of Security and Sustainability Issues, 9, 173
  57. Hariguna, 2019, The antecedent of citizen intention use of e-government service, Telkomnika (Telecommunication Computing Electronics and Control), 17, 202, 10.12928/telkomnika.v17i1.11588 · DOI
  58. Hariguna, 2017, Understanding information system quality on public e-government service intention: An empirical study, International Journal of Innovation and Sustainable Development, 11, 271, 10.1504/IJISD.2017.083290 · doi:10.1504/ijisd.2017.083290
  59. Hernandez-Ortega, 2011, The role of post-use trust in the acceptance of a technology: Drivers and consequences, Technovation, 31, 523, 10.1016/j.technovation.2011.07.001 · DOI
  60. Horst, 2007, Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government services in The Netherlands, Computers in Human Behavior, 23, 1838, 10.1016/j.chb.2005.11.003 · DOI · Paper page
  61. Hu, 2019, The Influence of Public Engaging Intention on Value Co-Creation of E-Government Services, IEEE Access, 7, 111145, 10.1109/ACCESS.2019.2934138 · DOI
  62. Huang, 2015, UTAUT2 based predictions of factors influencing the technology acceptance of phablets by DNP, Mathematical Problems in Engineering, 10.1155/2015/603747 · DOI · Paper page
  63. Hung, 2013, User acceptance of mobile e-government services: An empirical study, Government Information Quarterly, 30, 33, 10.1016/j.giq.2012.07.008 · DOI · Paper page
  64. Hung, 2011, Buyer Acceptance of G2B E-government Services: An Empirical Study of Inter-Entity Supply Contracts. The, DATA BASE for Advances in Information Systems, 42, 81, 10.1145/2096140.2096146 · DOI
  65. Husin, 2017, Increasing e-government adoption in Malaysia: MyEG case study, Journal of Systems and Information Technology, 19, 202, 10.1108/JSIT-01-2017-0007 · DOI
  66. Hussein, 2011, E‐government application: An integrated model on G2C adoption of online tax, Transforming Government: People, Process and Policy, 10.1108/17506161111155388 · DOI
  67. Hussein, 2010, G2c adoption of e-government in Malaysia: Trust, perceived risk and political self-efficacy, International Journal of Electronic Government Research, 6, 57, 10.4018/jegr.2010070105 · DOI
  68. Jasimuddin, 2017, Modelling the factors that influence the acceptance of digital technologies in e-government services in the UAE: a PLS-SEM Approach, Production Planning and Control, 28, 1307, 10.1080/09537287.2017.1375144 · DOI
  69. Jeyaraj, 2020, Meta-analysis in information systems research: Review and recommendations, International Journal of Information Management, 55, 10.1016/j.ijinfomgt.2020.102226 · DOI
  70. Kamarudin, 2021, Factors predicting the adoption of e-government services in telecenters in rural areas: The mediating role of trust, Asia-Pacific Social Science Review, 21, 20, 10.59588/2350-8329.1347 · doi:10.59588/2350-8329.1347
  71. Khatib, 2019, e-Government systems success and user acceptance in developing countries: The role of perceived support quality, Asia Pacific Journal of Information Systems, 29, 1, 10.14329/apjis.2019.29.1.1 · DOI
  72. Kim, 2012, E‐participation, transparency, and trust in local government, Public Administration Review, 72, 819, 10.1111/j.1540-6210.2012.02593.x · DOI · Paper page
  73. Krishnaraju, 2016, Web personalization for user acceptance of technology: An empirical investigation of E-government services, Information Systems Frontiers, 18, 579, 10.1007/s10796-015-9550-9 · DOI
  74. Kurfalı, 2017, Adoption of e-government services in Turkey, Computers in Human Behavior, 66, 168, 10.1016/j.chb.2016.09.041 · DOI · Paper page
  75. Lallmahomed, 2017, Factors influencing the adoption of e-Government services in Mauritius, Telematics and Informatics, 34, 57, 10.1016/j.tele.2017.01.003 · DOI · Paper page
  76. Lean, 2009, Factors influencing intention to use e-government services among citizens in Malaysia Ooh Kim Lean Universiti Sains Malaysia 2008 factors influencing intention to use e-government services among citizens in Malaysia, International Journal of Information Management, 29, 458, 10.1016/j.ijinfomgt.2009.03.012 · DOI · Paper page
  77. Lee, 2011, The willingness of e-Government service adoption by business users: The role of offline service quality and trust in technology, Government Information Quarterly, 28, 222, 10.1016/j.giq.2010.07.007 · DOI · Paper page
  78. Li, 2021, The role of trust and risk in Citizens’ E-Government services adoption: A perspective of the extended UTAUT model, Sustainability, 13, 10.3390/su13147671 · DOI
  79. Liang, 2021, Adoption of mobile government cloud from the perspective of public sector, Mobile Information Systems, 2021
  80. Lu, 2005, Facilitating conditions, wireless trust and adoption intention, Journal of Computer Information Systems, 46, 17
  81. Lu, Y., Cao, Y., & Yang, S. (2010, April). An empirical investigation of behavioral intention to use online services. In Proceedings of the 2010 2nd IEEE international conference on information management and engineering (pp. 99–102). IEEE. · DOI
  82. Mandari, 2018, Gender and Age Differences in Rural Farmers Intention to Use M-Government Services, Electronic Government, an International Journal, 14, 1, 10.1504/EG.2018.093406 · doi:10.1504/eg.2018.093406
  83. Mandari, 2017, The influence of government support and awareness on rural farmers’ intention to adopt mobile government services in Tanzania, Journal of Systems and Information Technology, 19, 42, 10.1108/JSIT-01-2017-0005 · DOI
  84. Mensah, 2018, E-Government Services Adoption: The Important Elements of Trust and Transparency, International Journal of Electronic Government Research (IJEGR), 14, 12, 10.4018/IJEGR.2018070102 · DOI
  85. Mensah, 2019, Factors Influencing the Intention of University Students to Adopt and Use E-Government Services: An Empirical Evidence in China, SAGE Open, 9, 10.1177/2158244019855823 · DOI · Paper page
  86. Mensah, 2019, Predictors of Electronic Government Services Adoption: The African Students’ Perspective in China, International Journal of Public Administration, 42, 997, 10.1080/01900692.2019.1572621 · DOI
  87. Mensah, 2017, Electronic government services adoption: The moderating impact of perceived service quality, International Journal of Electronic Government Research, 13, 38, 10.4018/IJEGR.2017070103 · DOI
  88. Mensah, 2018, An empirical investigation of the impact of demographic factors on E-government services adoption, International Journal of E-Services and Mobile Applications, 10, 17, 10.4018/IJESMA.2018040102 · DOI
  89. Mensah, 2017, Factors influencing citizens’ intention to use e-government services: A case study of South Korean students in China, International Journal of Electronic Government Research (IJEGR), 13, 14, 10.4018/IJEGR.2017010102 · DOI
  90. Mensah, 2020, The effect of gender, age, and education on the adoption of mobile government services, International Journal on Semantic Web and Information Systems, 16, 35, 10.4018/IJSWIS.2020070103 · DOI
  91. Milloy, M., Fink, D., & Morris, R. (2002). Modelling online security and privacy to increase customer purchasing intent. In Proceedings of the informing science + IT education conference , June 19–21, Cork, Ireland. · DOI
  92. Munyoka, 2020, Electronic government adoption in voluntary environments – a case study of Zimbabwe, Information Development, 36, 414, 10.1177/0266666919864713 · DOI
  93. Myron, 2004, Stolen Names, Big Numbers: As companies battle fraudsters and identity thieves, consumers' trust is harder to earn, American Demographics, 26, 36
  94. Nasri, 2019, E-Government Adoption in Tunisia Extending Technology Acceptance Model, International Journal of Public Administration in the Digital Age (IJPADA), 6, 30, 10.4018/IJPADA.2019100103 · DOI
  95. Nofal, 2021, Factors for extending e-government adoption in Jordan, 9, 471
  96. O’Neill, 2018, Linking trust to trustworthiness, International Journal of Philosophical Studies, 26, 293, 10.1080/09672559.2018.1454637 · DOI · Paper page
  97. Oliveira, 2014, Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM, International Journal of Information Management, 34, 689, 10.1016/j.ijinfomgt.2014.06.004 · DOI · Paper page
  98. Park, 2012, University students' behavioral intention to use mobile learning: Evaluating the technology acceptance model, British Journal of Educational Technology, 43, 592, 10.1111/j.1467-8535.2011.01229.x · DOI · Paper page
  99. Piehler, 2016, An analysis of continuity intentions of eGovernment portal users, Public Management Review, 18, 163, 10.1080/14719037.2014.965270 · DOI
  100. Porumbescu, 2016, Comparing the effects of e-government and social media use on trust in government: Evidence from Seoul, South Korea, Public Management Review, 18, 1308, 10.1080/14719037.2015.1100751 · DOI
  101. Puthur, 2020, Understanding citizen’s continuance intention to use e-government services: The case of the Indian railway e-ticket booking site, International Journal of Business Information Systems, 34, 183, 10.1504/IJBIS.2020.108343 · doi:10.1504/ijbis.2020.108343
  102. Rana, 2015, Citizen’s adoption of an e-government system: Validating extended social cognitive theory (SCT, Government Information Quarterly, 32, 172, 10.1016/j.giq.2015.02.002 · DOI · Paper page
  103. Rana, 2015, Investigating success of an e-government initiative: Validation of an integrated IS success model, Information Systems Frontiers, 17, 127, 10.1007/s10796-014-9504-7 · DOI · Paper page
  104. Ratnasingam, 2004, The role of facilitating conditions in developing trust for successful electronic marketplace participation, Journal of Internet Commerce, 3, 95, 10.1300/J179v03n03_06 · DOI
  105. Rehman, 2016, Adoption of E-government Services in Pakistan: A comparative study between online and offline users, Information Systems Management, 33, 248, 10.1080/10580530.2016.1188570 · DOI
  106. Riyadh, 2018, The effects of technology, organisational, behavioural factors towards utilization of egovernment adoption model by moderating cultural factors, Journal of Theoretical and Applied Information Technology, 97, 2142
  107. Sabani, 2020, Investigating the influence of transparency on the adoption of e-Government in Indonesia, Journal of Science and Technology Policy Management
  108. Sachan, 2018, Examining the impact of e-government service process on user satisfaction, Journal of Global Operations and Strategic Sourcing, 11, 321, 10.1108/JGOSS-11-2017-0048 · DOI
  109. Saengchai, 2020, The impact of citizen trust, citizen disposition and favourable social characteristics on the adoption of e-government: Mediating roles of perceived behavioural control, International Journal of Innovation, Creativity and Change, 12, 375
  110. Salimon, 2016, The influence of e-satisfaction, e-trust and hedonic motivation on the adoption of e-banking and its determinants in Nigeria: A pilot study, Mediterranean Journal of Social Sciences, 7
  111. Santa, 2019, The role of trust in e-Government effectiveness, operational effectiveness and user satisfaction: Lessons from Saudi Arabia in e-G2B, Government Information Quarterly, 36, 39, 10.1016/j.giq.2018.10.007 · DOI · Paper page
  112. Sawalha, 2019, The influence of utilising Facebook on e-government adoption, Electronic Government: An International Journal, 15, 1, 10.1504/EG.2019.096573 · doi:10.1504/eg.2019.096573
  113. Saxena, 2017, Enhancing ICT infrastructure in public services: Factors influencing mobile government (m-government) adoption in India, Bottom Line, 30, 279, 10.1108/BL-08-2017-0017 · DOI
  114. Shahzad, 2019, m-Government Security Response System: Predicting Citizens’ Adoption Behavior, International Journal of Human-Computer Interaction, 35, 899, 10.1080/10447318.2018.1516844 · DOI
  115. Shahzad, 2020, Predicting the adoption of a mobile government security response system from the user’s perspective: An application of the artificial neural network approach, Technology in Society, 62
  116. Sharma, 2017, Investigating the role of intermediaries in adoption of public access outlets for delivery of e-Government services in developing countries: An empirical study, Government Information Quarterly, 34, 658, 10.1016/j.giq.2017.10.001 · DOI
  117. Shi, 2002, The contribution of organizational factors in the success of electronic government commerce1, International Journal of Public Administration, 25, 629, 10.1081/PAD-120003293 · DOI
  118. Shuib, 2019, Malaysian urban poor adoption of e-government applications and their satisfaction, Cogent Social Sciences, 5, 1, 10.1080/23311886.2019.1565293 · DOI · Paper page
  119. Shukur, 2018, An analysis of cloud computing adoption framework for Iraqi e-Government, International Journal of Advanced Computer Science and Applications, 9, 104, 10.14569/IJACSA.2018.090814 · DOI
  120. Sijabat, 2020, Analysis of e-government services: A study of the adoption of electronic tax filing in Indonesia, Jurnal Ilmu Sosial Dan Ilmu Politik, 23, 179, 10.22146/jsp.52770 · DOI
  121. Singh, 2017, Understanding jordanian consumers’ online purchase intentions: Integrating trust to the UTAUT2 framework, International Journal of Applied Engineering Research, 12, 10258
  122. Sipior, 2011, The digital divide and t-government in the United States: Using the technology acceptance model to understand usage, European Journal of Information Systems, 20, 308, 10.1057/ejis.2010.64 · DOI
  123. Solove, 2005, A taxonomy of privacy, University of Public Law Review, 154, 477
  124. Taiwo, 2014, Behavioral Intention Towards E-Government in Malaysia:: A Structural Equation Modeling Approach, International Journal of Electronic Government Research, 10, 8, 10.4018/ijegr.2014040102 · DOI
  125. Talukder, 2020, Critical factors influencing the intention to adopt M-government services by the elderly, Journal of Global Information Management (JGIM), 28, 74, 10.4018/JGIM.2020100105 · DOI
  126. Talukder, 2019, A two-stage structural equation modeling-neural network approach for understanding and predicting the determinants of m-government service adoption, Journal of Systems and Information Technology, 21, 419, 10.1108/JSIT-10-2017-0096 · DOI
  127. Tang, 2009, Examining the impact of possible antecedents on service usage: An empirical study on Macao e-government, Electronic Government, an International Journal, 6, 97, 10.1504/EG.2009.022595 · DOI
  128. Teo, 2010, Explaining the intention to use technology among student teachers: An application of the Theory of Planned Behavior (TPB), Campus-Wide Information Systems, 10.1108/10650741011033035 · DOI · Paper page
  129. Tsui, 2019, Trust, Perceived Useful, Attitude and Continuance Intention to Use E-Government Service: An Empirical Study in Taiwan, Ieice Transactions on Information and Systems, E102D, 2524, 10.1587/transinf.2019EDP7055 · DOI
  130. Vejačka, 2016, Citizen adoption of eGovernment in Slovakia, Journal of Applied Economic Sciences, 11, 1395
  131. Venkatesh, 2003, User acceptance of information technology: Toward a unified view, MIS Quarterly, 27, 425, 10.2307/30036540 · DOI · Paper page
  132. Verkijika, 2018, E-government adoption in sub-Saharan Africa, Electronic Commerce Research and Applications, 30, 83, 10.1016/j.elerap.2018.05.012 · DOI · Paper page
  133. Virgiyanti, 2018, Evaluating the behavioral intention to use e-Government services from Malaysian’s perspective in Kedah state of Malaysia, Journal of Social Sciences Research, 2018(Special Issue, 6, 832, 10.32861/jssr.spi6.832.838 · doi:10.32861/jssr.spi6.832.838
  134. Wang, 2005, An overview of online trust: Concepts, elements, and implications, Computers in Human Behavior, 21, 105, 10.1016/j.chb.2003.11.008 · DOI · Paper page
  135. Weerakkody, 2013, Examining the influence of intermediaries in facilitating e-government adoption: An empirical investigation, International Journal of Information Management, 33, 716, 10.1016/j.ijinfomgt.2013.05.001 · DOI · Paper page
  136. Whitener, 1990, Confusion of confidence intervals and credibility intervals in meta-analysis, Journal of Applied Psychology, 75, 315, 10.1037/0021-9010.75.3.315 · DOI · Paper page
  137. Wirtz, 2016, eGovernment Applications and Public Personnel Acceptance: An Empirical Analysis of the Public Servant Perspective, International Journal of Public Administration, 39, 238, 10.1080/01900692.2014.1003384 · DOI
  138. Wirtz, 2019, Citizens and mobile government: an empirical analysis of the antecedents and consequences of mobile government usage, International Review of Administrative Sciences, [1
  139. Wu, 2009, A meta-analysis of the role of environment-based voluntariness in information technology acceptance, MIS Quarterly, 419, 10.2307/20650298 · DOI · Paper page
  140. Xie, 2017, Predictors for e-government adoption: integrating TAM, TPB, trust and perceived risk, The Electronic Library, 10.1108/EL-08-2015-0141 · DOI · Paper page
  141. Yap, 2019, Continuous Use Intention of E-Government Portals the Perspective of Older Citizens, International Journal of Electronic Government Research (IJEGR), 15, 1, 10.4018/IJEGR.2019010101 · DOI
  142. Yuen, 2015, Internet banking acceptance in the United States and Malaysia: A cross-cultural examination, Marketing Intelligence & Planning, 10.1108/MIP-08-2013-0126 · DOI
  143. Zaheer, 1998, Does trust matter? Exploring the effects of interorganizational and interpersonal trust on performance, Organization Science, 9, 141, 10.1287/orsc.9.2.141 · DOI · Paper page
  144. Zahid, 2019, Determinants of intention to adopt e-government services in Pakistan: An imperative for sustainable development, Resources, 8, 128, 10.3390/resources8030128 · DOI
  145. Zhang, 2021, Comparing attitudes towards adoption of e-government between urban users and rural users: An empirical study in Chongqing municipality, China, Behaviour & Information Technology, 40, 1154, 10.1080/0144929X.2020.1743361 · DOI
  146. Zhao, 2018, An empirical study of e-government diffusion in Fiji: A holistic and integrative approach, Public Management Review, 20, 1490, 10.1080/14719037.2017.1400585 · DOI
  147. Ziba, 2020, Factors affecting the intention to adopt e-government services in Malawi and the role played by donors, Information Development, 36, 369, 10.1177/0266666919855427 · DOI

Cited by

See all 236

Metadata

Authors
Hooda, A., Gupta, P., Jeyaraj, A., Giannakis, M., & Dwivedi, Y. K.
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2022-12
Volume
67
Pages
102553
ISSN
0268-4012 (ISSN-L)
OpenAlex
W4293479086
Cited by
236
References
16
FWCI
41.33
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The effects of trust on behavioral intention and use behavior within e-government contexts. https://app.cochat.ai/papers/10.1016/j.ijinfomgt.2022.102553
The paper
Hooda, A., Gupta, P., Jeyaraj, A., Giannakis, M., & Dwivedi, Y. K. (2022). The effects of trust on behavioral intention and use behavior within e-government contexts. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2022.102553

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.