Improving IT assessment with IT artifact affordance perception priming

Byron Marshall1, Michael Curry2, Peter Kawalek3
1College of Business, Oregon State University, Austin Hall, Corvallis, OR, 97331, USA
2Carson College of Business, Washington State University, Vancouver, WA 98686, USA
3Manchester Business School, University of Manchester, Manchester M15 6PB, United Kingdom

Tài liệu tham khảo

Agarwal, 1998, The antecedents and consequents of user perceptions in information technology adoption, Decis. Support. Syst., 22, 15, 10.1016/S0167-9236(97)00006-7

Banker, 2011, CIO reporting structure, strategic positioning, and firm performance, MIS Q., 35, 487, 10.2307/23044053

Beaudry, 2005, Understanding user responses to information technology: a coping model of user adaptation, MIS Q., 29, 493, 10.2307/25148693

Beaudry, 2010, The other side of acceptance: studying the direct and indirect effects of emotions on information technology use, MIS Q., 34, 689, 10.2307/25750701

Bhagwatwar, 2013, Creative Virtual Environments: Effect of Supraliminal Priming on Team Brainstorming

Brown, 2004, Enterprise resource planning (ERP) implementation planning and structure: a recipe for ERP success

Cohen, 1988

Curry, 2014, IT artifact bias: how exogenous predilections influence organizational information system paradigms, Int. J. Inf. Manag., 34, 427, 10.1016/j.ijinfomgt.2014.02.005

Davis, 1986

Dennis, 2013, Sparking creativity: improving electronic brainstorming with individual cognitive priming, J. Manag. Inf. Syst., 29, 195, 10.2753/MIS0742-1222290407

Gibson, 1979

Gore, 2011, The Role Of Technical Expertise In Firm Governance Structure: Evidence From Chief Financial Officer Contractual Incentives, Strateg. Manag. J., 32, 771, 10.1002/smj.907

Hendricks, 2007, The impact of enterprise systems on corporate performance: a study of ERP, SCM, and CRM system implementations, J. Oper. Manag., 25, 65, 10.1016/j.jom.2006.02.002

ISACA, 2010

Johnson, 2006, Multiple professional identities: examining differences in identification across work-related targets, J. Appl. Psychol., 91, 498, 10.1037/0021-9010.91.2.498

Kroenke, 2014

Krosnick, 1990, Altering the foundations of support for the president through priming, Am. Polit. Sci. Rev., 84, 497, 10.2307/1963531

Leonardi, 2011, When flexible routines meet flexible technologies: affordance, constraint, and the imbrication of human and material agencies, MIS Q., 35, 147, 10.2307/23043493

Little, 2004, Models and managers: The concept of a decision calculus, Management Science, 50, 1841, 10.1287/mnsc.1040.0267

Nevo, 2010, The formation and value of IT-enabled resources: antecedents and consequences of synergistic relationships, MIS Q., 34, 163, 10.2307/20721419

Nielsen, 2014

Parameswaran, 2014, Within-study measurement invariance of the UTAUT instrument: an assessment with user technology engagement variables

Ringle, C., S. Wende, et al. (2014). SmartPLS 3.19. Hamburg.

Roskos-Ewoldsen, 2002, Media priming: a synthesis, Media effects: Advances in theory and research, 2, 97

Sauer, 2007, The impact of size and volatility on IT project performance, Commun. ACM, 50, 79, 10.1145/1297797.1297801

Schacter, 1998, Priming and the brain, Neuron, 20, 185, 10.1016/S0896-6273(00)80448-1

Srull, 1979, The role of category accessibility in the interpretation of information about persons: some determinants and implications, J. Pers. Soc. Psychol., 37, 1660, 10.1037/0022-3514.37.10.1660

Straub, 2009, Understanding technology adoption: theory and future directions for informal learning, Rev. Educ. Res., 79, 625, 10.3102/0034654308325896

Sun, 2006, The role of moderating factors in user technology acceptance, Int. J. Hum. Comput. Stud., 64, 53, 10.1016/j.ijhcs.2005.04.013

Tulving, 1990, Priming and human memory systems, Science, 247, 301, 10.1126/science.2296719

Turvey, 1992, Affordances and prospective control: an outline of the ontology, Ecol. Psychol., 4, 173, 10.1207/s15326969eco0403_3

Uhlmann, 2012, Getting explicit about the implicit: a taxonomy of implicit measures and guide for their use in organizational research, Organ. Res. Methods, 10.1177/1094428112442750

Van Der Heijden, 2013

Venkatesh, 2008, Technology acceptance model 3 and a research agenda on interventions, Decis. Sci., 39, 273, 10.1111/j.1540-5915.2008.00192.x

Venkatesh, 2000, A theoretical extension of the technology acceptance model: four longitudinal field studies, Manag. Sci., 46, 186, 10.1287/mnsc.46.2.186.11926

Venkatesh, 2003, User acceptance of information technology: toward a unified view, MIS Q., 27, 425, 10.2307/30036540

Wilson, 2002

Wilson, 1994, Mental contamination and mental correction: unwanted influences on judgments and evaluations, Psychol. Bull., 116, 117, 10.1037/0033-2909.116.1.117