User Acceptance of Information Technology: Research Progress, Current Controversies, and Emerging Paradigms

1. User Acceptance of Information Technology: Research Progress, Current Controversies, and Emerging Paradigms Fred Davis Walton College of Business University of Arkansas December 8, 2007 Workshop on HCI Research in MIS

2. Outline TAM overview and evolution TAM metaanalyses Paradigms and scientific progress Current TAM impasse Gaps and limitations in TAM++ research Promising directions for TAM research Cognitive Neuroscience and Neuro � IS

3. TAM Overview Problem Statement High failure rate of IS implementations 1980�s IS Implementation Research Mixed and inconclusive Keen 1980 �reference disciplines and cumulative tradition� TAM Theoretical foundations Psychometrically validated measures IT Design Characteristics Functionality User Interface

4. Technology Acceptance Model(TAM) Usage determined by intention which in turn is determined by U and EOU. Define U and EOU. Explain link between EOU and U. Role of external variables.Usage determined by intention which in turn is determined by U and EOU. Define U and EOU. Explain link between EOU and U. Role of external variables.

5. Summary of Key Findings from Early TAM Research Perceived usefulness is key determinant of acceptance Perceived ease of use is a secondary determinant (direct and indirect effect on BI) TAM compares favorably with other models TAM is robust across populations, settings, technologies TAM has been APPLIED a lot, extended very little.TAM has been APPLIED a lot, extended very little.

6. TAM Evolution 1990�s Proliferation Consolidation 1999 antecedents of EOU 2000 antecedents of Usefulness 2003 Unified Theory (UTAUT) Metaanalyses (2003-2007) Citations 1989 MISQ cited 900+ times 1989 Mgt Sci cited 750+ times TAM in Workshop on HCI in MIS, ICIS

7. Process expectancy--has to do with the effort. Much more reliant on direct experience. Individuals bring prior information to setting--classical case of anchoring and adjustment; human decision-making is based on anchoring and adjustment.Process expectancy--has to do with the effort. Much more reliant on direct experience. Individuals bring prior information to setting--classical case of anchoring and adjustment; human decision-making is based on anchoring and adjustment.

8. Anchors are individual difference variables. Adjustments are system-specific constructs. Interesting finding: anchors always important (as long as expectations are realistic). Role of PEC: general to system-specific. Anchors are individual difference variables. Adjustments are system-specific constructs. Interesting finding: anchors always important (as long as expectations are realistic). Role of PEC: general to system-specific.

9. Venkatesh & Davis 2000 Mgt SciDeterminants of Usefulness Use-Performance contingency; outcome expectancy--what results do I get by using the system? Influence of others. Cognitive underpinnings related to the job and the system. Ability to assess without much experience.Use-Performance contingency; outcome expectancy--what results do I get by using the system? Influence of others. Cognitive underpinnings related to the job and the system. Ability to assess without much experience.

10. Social Influence Processes A--compliance. B--internalization. C--identification.A--compliance. B--internalization. C--identification.

11. Cognitive Instrumental Processes How the system works in the context of one�s job?How the system works in the context of one�s job?

12. Venkatesh et al 2003 MISQUnified Model

13. Different Types of Technology Individual productivity tools Groupware Enterprise systems E-Commerce Workflow Mobile technology

14. King & He 2006 I&M Meta-analysis of 88 studies �The results show TAM to be a valid and robust model that has been widely used, but which potentially has wider applicability.� Moderators User types Usage types

15. Jeyaraj, et al. 2006 JIT Metaanalysis of 99 adoption studies 48 individual level studies 51 organizational level studies Best individual adoption predictors Perceived Usefulness Top Management Support Computer Experience User Support Behavioral Intention Best organizational adoption predictions Top Management Support External Pressure Professionalism of IS unit External Information Sources Top Management Support was main linkage between individual and organizational IT adoption Identify 10 areas for further exploration

16. Schepers & Wetzels 2007 I&M Metaanalysis of 63 TAM studies Focused on role of subjective norm Confirmed original TAM relationships Large effect sizes of SN On usefulness (internalization) On intention (compliance)

17. Sun & Zhang 2006 IJHCS Role of moderating factors in technology acceptance Low explanatory power of TAM models (<60%) Inconsistent relationships found 69 studies reviewed Ten moderating factors in three groups Organizational factors (voluntariness, nature of task and profession) Technology factors (complexity, purpose, individual vs. group) Individual factors (gender, intellect, experience, age, culture) Moderators increase explanatory power

18. Sabherwal et al 2006 Mgt Sci Individual and organizational determinants Metaanalysis of 121 studies Integrated, emergent model Top mgmt support Facilitating conditions User experience, attitude, training, participation System Quality Perceived usefulness User satisfaction System use Consistent with prior research on technology adoption and use

19. Scientific Progress Every scientific truth goes through three states: first, people say it conflicts with the Bible; next, they say it has been discovered before lastly, they say they always believed it. Louis Agassiz

20. Nature of Scientific Progress Role of Paradigms (e.g., Kuhn 1962) Container (how much can it hold) Vehicle (how far can it go? How fast?) Advantage � enables research progress Disadvantage � constrains research progress Theory can obstruct research progress Selective filter, lens Confirmation bias Revolution vs. Evolution Parsimony, Power, Generality

21. TAM Research Impasse JAIS Special Issue April 2007 Lucas, Swanson, & Zmud �Implementation�� Benbasat & Barki �Quo Vadis, TAM?� Proliferation of ad hoc incremental extensions with no overarching conceptual structure Successive studies that provide diminishing marginal contributions IS researchers� attention being overly restricted to minor extensions of TAM

22. �Restlessness and discontent are the first necessities of progress. � Thomas Edison

23. Recommended Directions for TAM Benbasat & Barki Go back to TRA/TPB Better conceptualization of system usage Longitudinal, multi-stage models Impact of IT design characteristics Objective usefulness Bagozzi Goal self-regulation Group, cultural, social aspects Emotions

24. Return to TRA/TPB? Benbasat &Barki 2007 JAIS advocate this Claim that UTAUT does this Provides structure for expanding TAM Pavlou & Fygenson 2006 MISQ B2C top beliefs elicited Usefulness, ease of use, trust TPB omits direct influence of beliefs on BI Bagozzi 2007 JAIS TPB has many same limitations as TAM

25. Usage Reconceptualizations Beyond frequency & duration Burton-Jones & Straub 2006 ISR User-System-Task Cognitive Absorption Deep structure usage (task-relevant feature use) Objective performance Barki et al 2007 ISR Task-technology-individual Hierarchical goal-oriented actions Task-technology adaption Individual adaption

26. Three Key Limitations of TAM++ Paradigm Static, cross-sectional, snapshot-oriented Individual level of analysis Limited span across causal chain Emphasis on controlled, conscious processing Exclusion of automatic processing Overlook multitasking Limited account of social processes Knowledge collaboration Collective processes

27. Longer span across causal chain:Wixom & Todd 2005 ISR Theoretical Integration of User Satisfaction and Technology Acceptance Bridge from design and implementation of system characteristics (a strength of the user satisfaction literature) to prediction of usage (a strength of the TAM literature)

28. Venkatesh 2006 Dec Sci Business process change; process standards Business process characteristics Interventions (e.g., simulation based training) Supply-chain technologies Multi-stakeholder technologies Interventions to reduce goal incongruence and information assymetry Services Service quality, failure, recovery Service design characteristics

29. Major Theoretical Extensions of TAM Principal-Agent Theory Ba, et al. 2001 Mgt Sci; Bhattacherjee 1998 Dec Sci; Pavlou et al 2007 Multi-level studies of adoption Lapointe & Rivard 2005 MISQ, 2007 ISR; Frambach & Schillewaert 2002 J. Bus Res; Gopalakrishnan, et al. IEEE TEM Longitudinal multi-stage modeling Kim et al 2006 Mgt Sci

30. Devaraj & Kohli 2005 Mgt Sci Performance Impacts of Information Technology: Is Actual Usage the Missing Link? �actual usage� may be a key variable in explaining the impact of technology on performance�omittion of this variable may be a missing ling in IT payoff analyses

31. Automaticity and Multitasking TAM++ models presume conscious processing Conscious intentions and beliefs Theory of Reasoned Action/Planned Behavior Cognitive skill acquisition Habit versus intention Intention-behavior relationship weakens with habit Habits toward previous behavior can undermine intentions to adopt new behavior

32. Dual Processing and Economics Daniel Kahneman 2002 Two modes of cognitive processing System 1 (intuition) � fast, automatic, effortless, associative, difficult to modify System 2 (reasoning) � slower, serial, effortful, deliberately controlled, rule-governed, flexible Vernon Smith 2002 �human activity is diffused and dominated by unconscious, autonomic, neuropsychological systems that enable people to function effectively without calling upon the brain�s scarcest resource � attentional and reasoning circuitry�

33. Automaticity in IS Research Habit in IS Continuance Mindfulness-Mindlessness Paradox Butler & Gray 2006 MISQ Routine-based reliability Mindfulness-based reliability Individual and collective mindfulness

34. Dual-Task Interference Primary task demands most attention Secondary task can be performed with limited attention Bottlenecks, working memory load Task and tool as dual tasks Electronic brainstorming Heninger et al 2006 ISR

35. Neuro-IS Dimoka, Pavlou, & Davis 2007 ICIS �The potential of cognitive neuroscience for IS Research� Neural underpinnings of cognitive processes Brain scanning (fMRI, etc.) Many recent discoveries Decision making, risk, uncertainty Trust, cooperation, competition Goal self-regulation Automaticity and multitasking

36. Major Areas of the Brain

37. Brain Areas Activated for Focal Processes

38. Neuro-IS and TAM++ Research Neural correlates of perceived usefulness and ease of use Social influence processes and �theory of mind� Automaticity and habit Goal Self-regulation Emotional processes

39. Genetic Epistemology and Piaget�s Philosophy of Science Piaget (vs. Kuhn) on Scientific Progress J.Y. Tsou 2006 Theory and Research Continuity vs. discontinuity Series of successive approximations to truth Equilibration Assimilation and accommodation of existing knowledge structures (reorganization) Progress as integrative, cumulative process

40. Summary Reaching the limits of TAM++ paradigm Need to identify and remove limitations of TAM++ paradigm Emphasize impact of IT design characteristics Integrate across levels of analysis From static to dynamic analyses of complex adoption processes Neuro-IS Build upon and go beyond accumulated knowledge

41. �However much our knowledge of human behavior falls short of our need for such knowledge, still it is enormous� Herbert Simon 1978