Darban M and Polites G.
(2020). Why Is It Hard to Fight Herding?. ACM SIGMIS Database: the DATABASE for Advances in Information Systems. 51:4. (93-122). Online publication date: 2-Nov-2020.
Daradkeh M.
(2019). Determinants of Self-Service Analytics Adoption Intention. Journal of Organizational and End User Computing. 31:4. (19-45). Online publication date: 1-Oct-2019.
Masombuka T and Mnkandla E. A DevOps collaboration culture acceptance model. Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists. (279-285).
Ilie V and Sneha S.
(2018). A Three Country Study for Understanding Physicians' Engagement With Electronic Information Resources Pre and Post System Implementation. Journal of Global Information Management. 26:2. (48-73). Online publication date: 1-Apr-2018.
Song J, Baker J, Wang Y, Choi H and Bhattacherjee A.
(2018). Platform adoption by mobile application developers. Decision Support Systems. 107:C. (26-39). Online publication date: 1-Mar-2018.
Ortiz de Guinea A and Webster J.
(2017). Combining variance and process in information systems research. Information and Organization. 27:3. (144-162). Online publication date: 1-Sep-2017.
(2017). An extended technology acceptance model for predicting smartphone adoption among young consumers in Greece. International Journal of Mobile Communications. 15:4. (372-387). Online publication date: 1-Jan-2017.
Sánchez-Gómez M, Iglesias-Rodríguez A and Martín-García A. Methodological triangulation as a research strategy in educational innovation processes. Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality. (643-650).
Wang Y and Wang Y.
(2016). Determinants of firms' knowledge management system implementation. Computers in Human Behavior. 64:C. (829-842). Online publication date: 1-Nov-2016.
Bonner N, Kulangara N, Nerur S and Teng J.
(2016). An Empirical Investigation of the Perceived Benefits of Agile Methodologies Using an Innovation-Theoretical model. Journal of Database Management. 27:3. (38-63). Online publication date: 1-Jul-2016.
Yoon S and Cho E.
(2016). Convergence adoption model (CAM) in the context of a smart car service. Computers in Human Behavior. 60:C. (500-507). Online publication date: 1-Jul-2016.
Mitzner T, Rogers W, Fisk A, Boot W, Charness N, Czaja S and Sharit J.
(2016). Predicting older adults' perceptions about a computer system designed for seniors. Universal Access in the Information Society. 15:2. (271-280). Online publication date: 1-Jun-2016.
Tate M, Evermann J and Gable G.
(2015). An integrated framework for theories of individual attitudes toward technology. Information and Management. 52:6. (710-727). Online publication date: 1-Sep-2015.
Yoo C, Parameswaran S and Kishore R.
(2015). Knowing about your food from the farm to the table. Information and Management. 52:6. (692-709). Online publication date: 1-Sep-2015.
Teh P, Ahmed P, Chan A, Cheong S and Yap W. Useful or Easy-to-Use? Knowing What Older People Like about Near Field Communication Technology. Proceedings, Part I, of the First International Conference on Human Aspects of IT for the Aged Population. Design for Aging - Volume 9193. (273-281).
Shropshire J, Warkentin M and Sharma S.
(2015). Personality, attitudes, and intentions. Computers and Security. 49:C. (177-191). Online publication date: 1-Mar-2015.
Hong J, Hwang M, Tai K and Chen Y.
(2014). Using calibration to enhance students' self-confidence in English vocabulary learning relevant to their judgment of over-confidence and predicted by smartphone self-efficacy and English learning anxiety. Computers & Education. 72:C. (313-322). Online publication date: 1-Mar-2014.
Hong W, Chan F, Thong J, Chasalow L and Dhillon G.
(2014). A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research. Information Systems Research. 25:1. (111-136). Online publication date: 1-Mar-2014.
Kamis A and Frank J.
(2014). Advice sharing between paired users in online travel planning. Journal of Theoretical and Applied Electronic Commerce Research. 9:1. (1-18). Online publication date: 1-Jan-2014.
Cheung R and Vogel D.
(2013). Predicting user acceptance of collaborative technologies. Computers & Education. 63. (160-175). Online publication date: 1-Apr-2013.
Shiau W and Dwivedi Y.
(2013). Citation and co-citation analysis to identify core and emerging knowledge in electronic commerce research. Scientometrics. 94:3. (1317-1337). Online publication date: 1-Mar-2013.
Kang S, Lim K, Kim M and Yang H.
(2012). Research Note---A Multilevel Analysis of the Effect of Group Appropriation on Collaborative Technologies Use and Performance. Information Systems Research. 23:1. (214-230). Online publication date: 1-Mar-2012.
Lin W and Wang C.
(2012). Antecedences to continued intentions of adopting e-learning system in blended learning instruction. Computers & Education. 58:1. (88-99). Online publication date: 1-Jan-2012.
Rahim N, Lallmahomed M, Ibrahim R and Rahman A.
(2011). A Preliminary Classification of Usage Measures in Information System Acceptance. International Journal of Technology Diffusion. 2:4. (25-47). Online publication date: 1-Oct-2011.
Lin W. Perceived fit and satisfaction on online learning performance. Proceedings of the 6th international conference on E-learning and games, edutainment technologies. (139-146).
Tojib D and Sugianto L.
(2011). Construct Validity Assessment in IS Research. Journal of Organizational and End User Computing. 23:1. (38-63). Online publication date: 1-Jan-2011.
Wang Y, Meister D and Wang Y.
(2011). Reexamining Relative Advantage and Perceived Usefulness. International Journal of Information and Communication Technology Education. 7:1. (46-59). Online publication date: 1-Jan-2011.
Gwebu K and Wang J.
(2010). Seeing eye to eye? An exploratory study of free open source software users' perceptions. Journal of Systems and Software. 83:11. (2287-2296). Online publication date: 1-Nov-2010.
Sipior J, Connolly R and Ward B.
(2010). An Empirical Evaluation of E-Government Inclusion Among the Digitally Disadvantaged in the United States. Information Resources Management Journal. 23:4. (21-39). Online publication date: 1-Oct-2010.
Gumussoy C and Calisir F.
(2009). Understanding factors affecting e-reverse auction use. Computers in Human Behavior. 25:4. (975-988). Online publication date: 1-Jul-2009.
Wu J and Lederer A.
(2009). A meta-analysis of the role of environmentbased voluntariness in information technology acceptance. MIS Quarterly. 33:2. (419-432). Online publication date: 1-Jun-2009.
Vuolle M, Tiainen M, Kallio T, Vainio T, Kulju M and Wigelius H. Developing a questionnaire for measuring mobile business service experience. Proceedings of the 10th international conference on Human computer interaction with mobile devices and services. (53-62).
Karjaluoto H, Lehto H, Leppaniemi M and Jayawardhena C.
(2008). Exploring Gender Influence on Customer's Intention to Engage Permission-based Mobile Marketing. Electronic Markets. 18:3. (242-259). Online publication date: 1-Aug-2008.
Van Slyke C, Johnson R, Hightower R and Elgarah W.
(2008). Implications of researcher assumptions about perceived relative advantage and compatibility. ACM SIGMIS Database: the DATABASE for Advances in Information Systems. 39:2. (50-65). Online publication date: 30-Apr-2008.
Nov O and Ye C.
(2008). Users' personality and perceived ease of use of digital libraries: The case for resistance to change. Journal of the American Society for Information Science and Technology. 59:5. (845-851). Online publication date: 1-Mar-2008.
Lee C and Lei U. Adoption of e-government services in Macao. Proceedings of the 1st international conference on Theory and practice of electronic governance. (217-220).
Rohrbaugh J. Managerial openness and the adoption of distributed group support systems. Proceedings of the 8th annual international conference on Digital government research: bridging disciplines & domains. (13-18).