Difference between revisions of "Theory Template"

From IS Theory
Jump to navigation Jump to search
(→‎Acronym: TTAT)
m (Added few more section wise instructions and did some formatting changes)
 
(17 intermediate revisions by 5 users not shown)
Line 1: Line 1:
−
== Acronym ==
+
{{Sponsor Thumbs}}
−
*    TTAT
 
−
== Alternate name(s)==
 
−
== Main dependent construct(s)/factor(s)==
 
−
*Avoidance behavior  Emotion-focused coping
 
−
== Main independent construct(s)/factor(s) ==
 
−
*Risk tolerance, Social influence  Users’ perceived susceptibility and severity of malicious IT  A safeguarding measure's effectiveness, costs, and users' self-efficacy toward it
 
−
== Concise description of theory ==
 
−
*Technology Threat Avoidance Theory (TTAT) explains why and how individual IT users are engaged in threat avoidance behavior in voluntary setting. Against most studies that have examined IT security at the organizational level, TTAT provides a framework at the individual user level. The theory has been developed by Liang and Xue (2009) by synthesizing the literature from diverse areas including psychology, health care, risk analysis, and information systems. The basic premise of TTAT is that when users perceive that an IT threat exists, they will be motivated to ''actively'' avoid an IT threat by taking a safeguarding measure if they believe that the threat can be avoidable by the safeguarding measure, or they will passively avoid the threat through emotion-focused coping if they perceive the threat not to be avoidable by any safeguarding measure available to them (Liang & Xue, 2009).  TTAT describes the processes and factors influencing individual users’ IT threat avoidance behavior. Drawing on cybernetic theory (Carver & Scheier, 1982; Edwards, 1992), TTAT posits that IT threat avoidance behavior can be represented by a cybernetic process in which users intend to enlarge the distance between their current security state and the undesired (unsafe) end state. With the help of coping theory (Lazarus, 1966; Lazarus & Folkman, 1984), TTAT submits that users experience two cognitive processes, threat appraisal and coping appraisal.  First, users appraise or assess the situation whether the IT threat exists and to what degree it exists. Then they decide what action they will take to avoid it—problem-focused coping and/or emotion-focused coping. TTAT identifies some key factors that explain user perception and motivation in this process. Integrating the literature of risk analysis (Baskerville, 1991a; Baskerville, 1991b) and health psychology (Janz & Becker, 1984; Rogers, 1983; Weinstein, 2000), TTAT suggests that users’ threat perception is determined by the perceived probability of the threat's occurrence and the perceived severity of the threat's negative consequences. Based on prior research on health protective behavior (Janz & Becker, 1984; Maddus & Rogers, 1983) and self-efficacy (Bandura, 1982; Compeau & Higgins, 1995), TTAT proposes that users conceive three factors to assess to what extent the threat can be made avoidable by taking a safeguarding measure—the effectiveness of the safeguarding measure, the costs of the measure, and users' self-efficacy of applying the measure.
 
−
== Diagram/schematic of theory ==
 
  
−
== Originating author(s) ==
+
 
−
*Liang and Xue (2009)
+
=='''Name of Theory'''==
−
== Seminal articles ==
+
==Acronym==
−
*.Bandura, A. (1982). Self-Efficacy Mechanism in Human Agency. ''American Psychologist, 37'', 122-147. Baskerville, R. (1991a). "Risk Analysis: An Interpretive Feasibility Tool in Justifying Information Systems Security". ''European Journal of Information Systems, 1''(2), 121-130. Baskerville, R. (1991b). "Risk Analysis as a Source of Professional Knowledge". ''Computer & Security, 10''(8), 749-764.  Carver, C. S., & Scheier, M. F. (1982). Control Theory: A Useful Conceptual Framework for Personality-Social, Clinical, and Health Psychology. ''Psychological Bulletin, 92''(1), 111-135. Compeau, D. R., & Higgins, C. A. (1995). Computer Self-Efficacy: Development of A Measure and Initial Test. ''MIS Quarterly, 19''(2), 189-211. Edwards, J. (1992). A Cybernetic Theory of Stress, Coping, and Weil-Being in Organizations. ''Academy of Management Review, 17''(2), 238-274. Janz, N. K., & Becker, M. H. (1984). The Health Belief Model: A Decade Later. ''Health Education Quarterly, 11''(1), 1-45. Lazarus, R. (1966). ''Psychological Stress and the Coping Process.'' New York: McGraw-Hill. Lazarus, R., & Folkman, S. (1984). ''Stress, Coping, and Adaptation.'' New York: Springer-Verlag. Liang, H., & Xue, Y. (2009, March). Avoidance of Information Technology Threats: A Theoretical Perspective. ''MIS Quarterly, 33''(1), 71-90.
+
XYZ
−
== Originating area ==
+
==Alternate name(s)==
−
*
+
N/A or as applicable
−
== Level of analysis ==
+
==Main dependent construct(s)/factor(s)==
−
*Individual
+
Enlist one or set of outcome/resultant variable, as applicable
−
== Links to WWW sites describing theory ==
+
==Main independent construct(s)/factor(s)==
−
*
+
Enlist one or set of trigger/initiating variable, as applicable 
−
== Links from this theory to other theories ==
+
==Concise description of theory==
−
*
+
Give an overview in 2 to 3 lines 
−
== IS articles that use the theory ==
+
 
−
*Arachchilage, N. A., & Love, S. (2014, September). Security awareness of computer users: A phishing threat avoidance perspective. ''Computers in Human Behavior, 38'', 304-312. Herath, T., Chen, R., Wang, J., Banjara, K., Wilbur, J., & Rao, H. R. (2014, January). Security services as coping mechanisms: an investigation into user intention to adopt an email authentication service. ''Information Systems Journal, 24''(1), 61-84  Lai, F., Li, D., & Hsieh, C.-T. (2012, January). Fighting Identity Theft: The Coping Perspective. ''Decision Support Systems, 52''(2), 353-363. Liang, H., & Xue, Y. (2010, July). Understanding Security Behaviors in Personal Computer Usage: A Threat Avoidance Perspective. ''Journal of the Association for Information Systems, 11''(7), 394-413.
+
===Generic context===
−
== Contributor(s) ==
+
Explain in brief about the generic context and make use of bulleted points if needed
−
*Anupriya Khan
+
 
−
== Date last updated ==
+
*First point
−
*
+
*Second point
−
Please feel free to make modifications to this site. In order to do so, you must register.__FORCETOC__
+
*Nth point
 +
 
 +
===‘Information Systems’ context===
 +
Explain in brief on how this theory is relevant to IS context and make use of bulleted points if needed.
 +
 
 +
*First point
 +
*Second point
 +
*Nth point
 +
 
 +
Write a summarized line
 +
 
 +
.
 +
 
 +
==Diagram/schematic of theory==
 +
(enlist your one or two figure as applicable)
 +
* Figure 1: Types of Invocation Resistance (Source: Ram, S. and Sheth, J.N. 1989)
 +
 
 +
[[File:RamAndSeth1989.jpg|thumb|Types of Innovation Resistance (Source: Ram and Sheth 1989)]]
 +
 
 +
 
 +
 
 +
 
 +
 
 +
 
 +
 
 +
.
 +
 
 +
 
 +
 
 +
 
 +
 
 +
 
 +
==Originating author(s)==
 +
 
 +
*Sheth, Jagadish. N; & Stellner, W. H. (1979) – provided the psychology base thought process
 +
* S. Ram (1987) – conceptualized a model of Innovation Resistance
 +
*Ram, S. and Sheth, J.N. (1989) – refined the model explanation from practical perspective
 +
 
 +
==Seminal article(s) ==
 +
 
 +
#Sheth, J. N; & Stellner, W. H. (1979). Psychology of Innovation Resistance: The less developed concept (LDC) in diffusion research (No. 622). Urbana-Champaign, IL, USA: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign. Permalink: <nowiki>https://hdl.handle.net/2142/26627</nowiki>
 +
#S. Ram (1987), A Model of Innovation Resistance, in NA - Advances in Consumer Research Volume 14, eds. Melanie Wallendorf and Paul Anderson, Provo, UT: Association for Consumer Research, Pages: 208-212. <nowiki>https://www.acrwebsite.org/volumes/6688/volumes/v14/NA-14</nowiki>
 +
#Ram, S. and Sheth, J.N. (1989), Consumer Resistance to Innovations: The Marketing Problem and its solutions, Journal of Consumer Marketing, Vol. 6 No. 2, pp. 5-14. <nowiki>https://doi.org/10.1108/EUM0000000002542</nowiki>
 +
 
 +
== Originating area==
 +
Marketing – Consumer Behaviour
 +
==Level of analysis==
 +
Individual or Group
 +
==Links from this theory to other theories==
 +
1 liner with links to other theory. Example: This theory is different from ‘[[Diffusion of innovations theory|Diffusion of Innovations Theory]]’, which is also a popular innovation-based theory used in context of IS – Information Systems
 +
==Key References Outside IS Research Area==
 +
 
 +
#Heidenreich, S. and Kraemer, T. (2016), Innovations—Doomed to Fail? Journal of Product Innovation Management, Vol 33: Pages 277-297. <nowiki>https://doi.org/10.1111/jpim.12273</nowiki>
 +
# Ju, N., Lee, KH. (2020), Consumer resistance to innovation: smart clothing (Fashion and Textiles), International Journal of Interdisciplinary Research, Volume 7, 21. <nowiki>https://doi.org/10.1186/s40691-020-00210-z</nowiki>
 +
#Mohd Sadiq, Mohd Adil, Justin Paul (2021), An innovation resistance theory perspective on purchase of eco-friendly cosmetics, Journal of Retailing and Consumer Services, Volume 59, 102369, ISSN 0969-6989, <nowiki>https://doi.org/10.1016/j.jretconser.2020.102369</nowiki>
 +
#Dan Huang, Alexandra Coghlan, Xin Jin (2022), A process perspective on consumer innovation resistance to Airbnb: A narrative approach, International Journal of Hospitality Management, Volume 107, 103306, ISSN 0278-4319, <nowiki>https://doi.org/10.1016/j.ijhm.2022.103306</nowiki>
 +
 
 +
==IS articles that use the theory==
 +
 
 +
# Chung, K. C., & Liang, S. W. J. (2020). Understanding factors affecting innovation resistance of mobile payments in Taiwan: An integrative perspective. Mathematics, 8(10), 1841. <nowiki>https://doi.org/10.3390/math8101841</nowiki>
 +
#Kaur, P; Dhir, A; Ray, A; Bala, P.K; and Khalil, A. (2021), Innovation resistance theory perspective on the use of food delivery applications, Journal of Enterprise Information Management, Vol. 34 No. 6, pp. 1746-1768. <nowiki>https://doi.org/10.1108/JEIM-03-2020-0091</nowiki>
 +
#Zhenya Tang, Leida Chen (2022); Understanding seller resistance to digital device recycling platform: An innovation resistance perspective, Electronic Commerce Research and Applications, Volume 51, 101114, ISSN 1567-4223, <nowiki>https://doi.org/10.1016/j.elerap.2021.101114</nowiki>
 +
#Shishan, F., Hmoud, H., Zaidan, H., Qasem, Z. (2022). The Innovation Resistance Theory: The Case of Cryptocurrencies. In: Musleh Al-Sartawi, A.M.A. (eds) Artificial Intelligence for Sustainable Finance and Sustainable Technology. ICGER 2021. Lecture Notes in Networks and Systems, vol 423. Springer, Cham. <nowiki>https://doi.org/10.1007/978-3-030-93464-4_45</nowiki>
 +
#Park, E. H., Werder, K., Cao, L., & Ramesh, B. (2022). Why do Family Members Reject AI in Health Care? Competing Effects of Emotions. Journal of Management Information Systems, 39(3), 765–792. <nowiki>https://doi.org/10.1080/07421222.2022.2096550</nowiki>
 +
 
 +
==External links==
 +
 
 +
#<nowiki>https://solvinnov.com/resistance-of-innovation/</nowiki> - a website maintained by Dr. Adam Tacy, dealing with various topics of innovation and has a dedicated section on IRT
 +
#An exploratory study of mobile banking services resistance, July 2012, International Journal of Mobile Communications 10(4):366-385, <nowiki>https://doi/10.1504/IJMC.2012.048136</nowiki> -- ''this doesn’t directly use the IRT theory but makes a good contextual reading on innovation resistance''
 +
# NADINE HIETSCHOLD, RONNY REINHARDT, SEBASTIAN GURTNER (2020), Who put the “NO” in Innovation? Innovation resistance leaders’ behaviour and self-identities, Technological Forecasting and Social Change, Volume 158, 120177, ISSN 0040-1625, <nowiki>https://doi.org/10.1016/j.techfore.2020.120177</nowiki> -- ''this doesn’t directly use the IRT theory but makes a good contextual reading on innovation resistance''
 +
#<nowiki>https://hbsp.harvard.edu/product/W18034-PDF-ENG</nowiki> – Apple Watch: Managing Innovation Resistance, a teaching business case study by Tania Bucic, Gaganpreet Singh
 +
#<nowiki>https://www.diva-portal.org/smash/get/diva2:865523/FULLTEXT01.pdf</nowiki> -- Attitudes of French consumers towards breakthrough innovation – A qualitative study about Google Glass, a 2015 Masters-degree-thesis by student authors Allison Le Garrec and Jérémy Torregrosa, under their Supervisor Peter Hultén, of college Umeå School of Business and Economics
 +
#<nowiki>https://www.google.co.in/books/edition/Information_Systems_Innovation_and_Diffu/B2K9W5sqvKEC?hl=en&gbpv=0&kptab=overview</nowiki> – Google Books – Larsen, T. J. (1998). Innovation: A Framework for Research and Practice. Information systems innovation and diffusion: Issues and directions, 411.
 +
 
 +
==Contributor(s)==
 +
Name - affiliated institute or organization
 +
 
 +
==Date last updated==
 +
dd-MMM-yyyy
 +
 
 +
''Please feel free to make modifications to this site. In order to do so, you must register.''
 +
 
 +
__FORCETOC__

Latest revision as of 19:14, 14 March 2023

This site is sponsored by the University of Colorado


Name of Theory

Acronym

XYZ

Alternate name(s)

N/A or as applicable

Main dependent construct(s)/factor(s)

Enlist one or set of outcome/resultant variable, as applicable

Main independent construct(s)/factor(s)

Enlist one or set of trigger/initiating variable, as applicable

Concise description of theory

Give an overview in 2 to 3 lines

Generic context

Explain in brief about the generic context and make use of bulleted points if needed

  • First point
  • Second point
  • Nth point

‘Information Systems’ context

Explain in brief on how this theory is relevant to IS context and make use of bulleted points if needed.

  • First point
  • Second point
  • Nth point

Write a summarized line

.

Diagram/schematic of theory

(enlist your one or two figure as applicable)

  • Figure 1: Types of Invocation Resistance (Source: Ram, S. and Sheth, J.N. 1989)
Types of Innovation Resistance (Source: Ram and Sheth 1989)




.




Originating author(s)

  • Sheth, Jagadish. N; & Stellner, W. H. (1979) – provided the psychology base thought process
  • S. Ram (1987) – conceptualized a model of Innovation Resistance
  • Ram, S. and Sheth, J.N. (1989) – refined the model explanation from practical perspective

Seminal article(s)

  1. Sheth, J. N; & Stellner, W. H. (1979). Psychology of Innovation Resistance: The less developed concept (LDC) in diffusion research (No. 622). Urbana-Champaign, IL, USA: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign. Permalink: https://hdl.handle.net/2142/26627
  2. S. Ram (1987), A Model of Innovation Resistance, in NA - Advances in Consumer Research Volume 14, eds. Melanie Wallendorf and Paul Anderson, Provo, UT: Association for Consumer Research, Pages: 208-212. https://www.acrwebsite.org/volumes/6688/volumes/v14/NA-14
  3. Ram, S. and Sheth, J.N. (1989), Consumer Resistance to Innovations: The Marketing Problem and its solutions, Journal of Consumer Marketing, Vol. 6 No. 2, pp. 5-14. https://doi.org/10.1108/EUM0000000002542

Originating area

Marketing – Consumer Behaviour

Level of analysis

Individual or Group

Links from this theory to other theories

1 liner with links to other theory. Example: This theory is different from ‘Diffusion of Innovations Theory’, which is also a popular innovation-based theory used in context of IS – Information Systems

Key References Outside IS Research Area

  1. Heidenreich, S. and Kraemer, T. (2016), Innovations—Doomed to Fail? Journal of Product Innovation Management, Vol 33: Pages 277-297. https://doi.org/10.1111/jpim.12273
  2. Ju, N., Lee, KH. (2020), Consumer resistance to innovation: smart clothing (Fashion and Textiles), International Journal of Interdisciplinary Research, Volume 7, 21. https://doi.org/10.1186/s40691-020-00210-z
  3. Mohd Sadiq, Mohd Adil, Justin Paul (2021), An innovation resistance theory perspective on purchase of eco-friendly cosmetics, Journal of Retailing and Consumer Services, Volume 59, 102369, ISSN 0969-6989, https://doi.org/10.1016/j.jretconser.2020.102369
  4. Dan Huang, Alexandra Coghlan, Xin Jin (2022), A process perspective on consumer innovation resistance to Airbnb: A narrative approach, International Journal of Hospitality Management, Volume 107, 103306, ISSN 0278-4319, https://doi.org/10.1016/j.ijhm.2022.103306

IS articles that use the theory

  1. Chung, K. C., & Liang, S. W. J. (2020). Understanding factors affecting innovation resistance of mobile payments in Taiwan: An integrative perspective. Mathematics, 8(10), 1841. https://doi.org/10.3390/math8101841
  2. Kaur, P; Dhir, A; Ray, A; Bala, P.K; and Khalil, A. (2021), Innovation resistance theory perspective on the use of food delivery applications, Journal of Enterprise Information Management, Vol. 34 No. 6, pp. 1746-1768. https://doi.org/10.1108/JEIM-03-2020-0091
  3. Zhenya Tang, Leida Chen (2022); Understanding seller resistance to digital device recycling platform: An innovation resistance perspective, Electronic Commerce Research and Applications, Volume 51, 101114, ISSN 1567-4223, https://doi.org/10.1016/j.elerap.2021.101114
  4. Shishan, F., Hmoud, H., Zaidan, H., Qasem, Z. (2022). The Innovation Resistance Theory: The Case of Cryptocurrencies. In: Musleh Al-Sartawi, A.M.A. (eds) Artificial Intelligence for Sustainable Finance and Sustainable Technology. ICGER 2021. Lecture Notes in Networks and Systems, vol 423. Springer, Cham. https://doi.org/10.1007/978-3-030-93464-4_45
  5. Park, E. H., Werder, K., Cao, L., & Ramesh, B. (2022). Why do Family Members Reject AI in Health Care? Competing Effects of Emotions. Journal of Management Information Systems, 39(3), 765–792. https://doi.org/10.1080/07421222.2022.2096550

External links

  1. https://solvinnov.com/resistance-of-innovation/ - a website maintained by Dr. Adam Tacy, dealing with various topics of innovation and has a dedicated section on IRT
  2. An exploratory study of mobile banking services resistance, July 2012, International Journal of Mobile Communications 10(4):366-385, https://doi/10.1504/IJMC.2012.048136 -- this doesn’t directly use the IRT theory but makes a good contextual reading on innovation resistance
  3. NADINE HIETSCHOLD, RONNY REINHARDT, SEBASTIAN GURTNER (2020), Who put the “NO” in Innovation? Innovation resistance leaders’ behaviour and self-identities, Technological Forecasting and Social Change, Volume 158, 120177, ISSN 0040-1625, https://doi.org/10.1016/j.techfore.2020.120177 -- this doesn’t directly use the IRT theory but makes a good contextual reading on innovation resistance
  4. https://hbsp.harvard.edu/product/W18034-PDF-ENG – Apple Watch: Managing Innovation Resistance, a teaching business case study by Tania Bucic, Gaganpreet Singh
  5. https://www.diva-portal.org/smash/get/diva2:865523/FULLTEXT01.pdf -- Attitudes of French consumers towards breakthrough innovation – A qualitative study about Google Glass, a 2015 Masters-degree-thesis by student authors Allison Le Garrec and Jérémy Torregrosa, under their Supervisor Peter Hultén, of college Umeå School of Business and Economics
  6. https://www.google.co.in/books/edition/Information_Systems_Innovation_and_Diffu/B2K9W5sqvKEC?hl=en&gbpv=0&kptab=overview – Google Books – Larsen, T. J. (1998). Innovation: A Framework for Research and Practice. Information systems innovation and diffusion: Issues and directions, 411.

Contributor(s)

Name - affiliated institute or organization

Date last updated

dd-MMM-yyyy

Please feel free to make modifications to this site. In order to do so, you must register.


Retrieved from "https://is.theorizeit.org/w/index.php?title=Theory_Template&oldid=1450"