Affect, Flow, Aesthetics, Attitude, Behavior in ICT

Affect

  1. Jasy Liew Suet Yan & Ping Zhang (2017), Affect in the ICT Context, in Robert Galliers & Mari-Klara Stein (eds.), The Routledge Companion to Management Information Systems, Taylor and Francis Group
  2. Prestopnik, Nathan & Ping Zhang (2014), Human-Computer Interaction: Interactivity, Immersion and Invisibility as the New Extensions, in D. Straub and R. Welke (eds.), Wiley Encyclopedia on Management, Volume 7: Management Information Systems. DOI: 10.1002/9781118785317.weom070023
  3. Zhang, Ping (2013), The Affective Response Model: A Theoretical Framework of Affective Concepts and Their Relationships in the ICT Context, Management Information Systems Quarterly (MISQ), Vol. 37, Issue 1, 247-274 (PDF). 2016 Emerald award for most highly cited and highly influential paper
  4. Li, Na (Lina) & Ping Zhang (2009), Toward E-Commerce Website Evaluation and Use: Qualitative and Quantitative Understandings, Proceedings of the pre-ICIS Workshop on HCI Research in MIS, December 2009, Phoenix, Arizona
  5. Sun, Heshan and Ping Zhang (2008), Affective factors and their mediating effects in user technology acceptance, Journal of American Society for information Science and Technology (JASIST). (PDF)
  6. Zhang, Ping & Na Li (2007), Positive Affect and Negative Affect in IT Adoption: A Longitudinal Study, Proceedings of pre-ICIS HCI workshop, Montreal, Canada, December 2007. Best paper award. (PDF)
  7. Sun, Heshan and Ping Zhang (2006), Causal relationships between perceived enjoyment and perceived ease of use: An alternative approach, Journal of Association for Information Systems (JAIS), Vol. 7, No. 9, 618-645, September (PDF).
  8. Sun, Heshan and Ping Zhang (2006), The Role of Affect in IS Research: A Critical Survey and a Research Model, in HCI and MIS (I): Foundations, Zhang, P. and Galletta, D. (eds), Series of Advances in Management Information Systems, M.E. Sharpe publisher. (PDF)
  9. Zhang, Ping, Na Li and Heshan Sun (2006), Affective Quality and Cognitive Absorption: Extending Technology Acceptance Research, Hawaii International Conference on System Sciences (HICSS), January 2006. (PDF)
  10. Sun, Heshan and Ping Zhang (2005), An Empirical Study on Causal Relationships between Perceived Enjoyment and Perceived Ease of Uses, Proceedings of the Pre-ICIS 05 Annual Workshop on HCI in MIS (HCI/MIS’05), Las Vegas, NV., December
  11. Li, Na and Ping Zhang (2005), A Research agenda toward assessing perceived affective quality of IT, Proceedings of the AmericasConference on Information Systems (AMCIS’05), Omaha, NE, August.
  12. Zhang, Ping and Na Li (2005), The Importance of Affective Quality, Communications of the ACM (CACM), Vol. 48, No. 9, September, pp. 105-108. (PDF)
  13. Ping Zhang and Na Li (2004), Love at First Sight or Sustained Effect? The Role of Perceived Affective Quality on Users’ Cognitive Reactions to IT, Proceedings of the International Conference on Information Systems (ICIS), Washington, D.C. (PDF)
  14. Heshan Sun and Ping Zhang (2004), An Empirical Study on the Roles of Affective Variables in User Adoption of Search Engines, Proceedings of the Pre-ICIS 04 Annual Workshop on HCI in MIS (HCI/MIS’04), Washington, D.C., December. Best paper award(PDF)

Flow in Computer Mediated Environments

  1. Finneran, Christina & Ping Zhang (2005), Flow in Computer-Mediated Environments: Promises and Challenges, Communications of the AIS (CAIS), vol. 15, article 4, pp. 82-101 (PDF)
  2. Finneran, Christina & Ping Zhang (2003), A Person-Artifact-Task Model of Flow Antecedents within Computer-Mediated Environments, International Journal of Human-Computer Studies (IJHCS), 59, 4, 475-496. (PDF)
  3. Finneran, Christina & Ping Zhang (2002), The Challenges of Studying Flow within a Computer-mediated Environment,Proceedings of the Americas Conference on Information Systems (AMCIS’2002), Dallas, August 9-11, 2002 (PDF)

Attitudes and Behaviors

  1. Tang, Jian and Ping Zhang (2018), The impact of atmospheric cues on consumers’ approach and avoidance behavioral intentions in social commerce websites,  Computers in Human Behavior
  2. Tang, J., Ping Zhang, and Phillip Wu (2015), Categorizing Consumer Behavioral Responses and Artifact Design Features: The Case of Online Advertising,” Information Systems Frontiers, 17 (3), pp 513
  3. Kim, Youngseek & Ping Zhang (2010), Continued Use of Technology: Combining Controlled and Automatic Processes, Proceedings of the International Conference on Information Systems (ICIS), St. Louis, December 2010 (PDF)
  4. Jian Tang & Ping Zhang (2010), Media Selection Preferences of US College Students: Empirical Evidence and A Proposed Research Model, Proceedings of China Summer Workshop on Information Management (CSWIM), June 2010, Wuhan, China
  5. Kim, Youngseek & Ping Zhang (2009), Individual Users’ Adoption of Smart Phone Services, Poster, The pre-ICIS Workshop on HCI Research in MIS, December 2009, Phoenix, Arizona
  6. Zhang, Ping & Heshan Sun (2009), The complexity of different types of attitude in initial and continued ICT use, Journal of American Society for Information Science and Technology (JASIST). (PDF)
  7. Sun, Heshan & Ping Zhang (2008), Adaptive system use: An investigation at the system feature level, Proceedings of the International Conference on Information Systems (ICIS), December 2008, Paris, France (PDF)
  8. Sun, Heshan & Ping Zhang (2008), Online seller trust and use of online auction marketplaces, Proceedings of the Pacific Asia Conference on Information Systems (PACIS), July 2008, SuZhou, China. Nominated for the best paper award.
  9. Zhang, Ping, Shelley Aikman, and Heshan Sun (2008), Two types of attitudes in ICT acceptance and use, International Journal of Human-Computer Interaction. 24 (7), 1-21. (PDF)
  10. Zhang, Ping (2007), Roles of attitudes in initial and continued ICT use: a longitudinal study, Proceedings of AMCIS, Keystone, CO, 2007.
  11. Zhang, Ping and Shelley Aikman (2007), Attitudes in ICT Acceptance and Use, Proceedings of the International Conference on Human Computer Interaction, July 2007, Beijing
  12. Sun, Heshan and Ping Zhang (2007), Applying Markus and Robey’s Causal Structure to Examine User Technology Acceptance Research: A New Perspective, Journal of Information Technology Theory and Application (JITTA) (PDF)
  13. Sun, Heshan, Ping Zhang and Snow Xiao (2007), A research model of relationship quality in E-Commerce: Connecting IS factors with marketing profitability, Proceedings of AMCIS, Keystone, CO, 2007
  14. Sun, Heshan and Ping Zhang (2006), Adaptive IT use: Conceptualization and measurement, Proceedings of the 5th pre-ICIS Annual Workshop on HCI Research in MIS, December 2006
  15. Li, Na and Ping Zhang (2006), Consumer Online Shopping Behavior, in Customer Relationship Management, Fjermestad, J. and Romano, N. (eds), Series of Advances in Management Information Systems, M.E. Sharpe publisher. (PDF)
  16. Sun, Heshan and Ping Zhang (2006), The Role of Moderating Factors in User Technology Acceptance, International Journal of Human-Computer Studies (IJHCS), Vol. 64, No. 2, pp. 53-78 (PDF).
  17. Sun, Heshan and Ping Zhang (2005), A research agenda toward a better conceptualization of IT use, Proceedings of the AmericasConference on Information Systems (AMCIS’05), Omaha, NE, August.
  18. Heshan Sun & Ping Zhang (2004), A Methodological Analysis of User Acceptance of Technology, Proceedings of the Thirty-Seventh Hawaii International Conference on System Sciences (HICSS-37), January 2004. (PDF)
  19. Nora Misiolek, Norhayati Zakaria, and Ping Zhang (2002), Trust in organizational acceptance of information technology: a conceptual model & preliminary evidence, Proceedings of the Decision Sciences Institute 33rd Annual Meeting, November, 2002 (PDF)
  20. Li, Na & Ping Zhang (2002), Consumer online shopping attitudes and behavior: an assessment of research, Proceedings of the Americas Conference on Information Systems (AMCIS’2002), Dallas, August 9-11, 2002 (PDF)
  21. Zhang, Ping (1999), Effective Decision Making with Effective Human Information Interaction: A Cognitive Perspective, Proceedings of the 4th Asia-Pacific Decision Science Institute Conference, Shanghai, China, June 1999