Difference between revisions of "Theory Template"

From IS Theory
Jump to navigation Jump to search
m (Added few more section wise instructions and did some formatting changes)
 
(8 intermediate revisions by 2 users not shown)
Line 1: Line 1:
−
== Acronym ==
+
{{Sponsor Thumbs}}
−
SIP
 
−
== Alternate name(s)==
 
−
N/A
 
−
== Main dependent construct(s)/factor(s)==
 
−
Interpersonal impression and relational communication
 
−
== Main independent construct(s)/factor(s) ==
 
−
Socially motivated individuals, Verbal immediacy, Patterns of confirmation/ disconfirmation, Agreement or disagreement in verbal cues, Reciprocation and compensation in verbal cues, Use of emoticon in interactions 
 
−
== Concise description of theory ==
 
−
Social information processing(SIP) theory was posited as a formal theory of communication in the context of computer mediated communication(CMC). SIP explains the evolvement of interpersonal impressions and modification of relationships through CMC. Theory was developed in the time where online communication interface featured only textual messages and postulated that motivated individual who want to engage in relationships, can be communicated through CMC as effectively as face-to-face communication. This theory challenged the existing theories where CMC being critiqued for the absence of nonverbal cues. This perspective rooted from the concept of functional approach to non-verbal cues. This approach examines the substitutability of cues in the communication, more specifically, the function of communication is not entirely tied to the specific combination of verbal and non-verbal cues, but can be functionally interchangeable with verbal cues and achieve same effectiveness.
 
−
Basic assumptions of theory include 1) Humans always want to affiliate and seek social benefits 2) Interpersonal impression were formed based on the interaction between individuals 3) Development of relationship is based on the interpersonal impressions 4) Individuals use verbal and/or non-verbal cues, languages and textual manipulation to interact 5) Communication via CMC might take longer time than Face-to-Face communication to form interpersonal impressions. Based on these assumptions, there are three main propositions postulated by theory. 1) Development of interpersonal impressions and relational communication among unacquainted interactants takes longer time in CMC than face-to face communication as communication via CMC takes longer time to exchange relevant information. 2) Relational communication will evolve as the number of exchanges between interactants progress and different in each stage of interaction. 3) Considering sufficient time and message exchanges present between the interactants and all other factors in communication equal, development of relationship in the later stages of CMC and face-to-face communication will be same.
 
−
Presently, most of the structural constraints in CMC have been disappeared because of the advent of the multi-modal CMC platforms. This has raised question regarding the applicability of SIP in recent CMC context since newer CMC platforms accommodate more non-verbal cues than did CMC when SIP was formulated. But the basic assumptions of the SIP incorporate the idea that it predicts relational communication, when interactants have more restricted channel of language and media richness to achieve social benefits. This would suggest that newer CMC channels offer a significant boundary condition and restrict the scope of SIP theory. 
 
−
== Diagram/schematic of theory ==
 
−
N/A
 
−
== Originating author(s) ==
 
−
Joseph B. Walther (1992)
 
−
== Seminal articles ==
 
−
Walther, J. B. (1992). Interpersonal Effects in Computer-Mediated Interaction: A Relational Perspective. Communication Research, 19(1), 52-90 https://doi.org/10.1177/009365092019001003
 
−
Walther, J. B. (1994). Anticipated ongoing interaction versus channel effects on relational communication in computer‐mediated interaction. Human Communication Research, 20, 473–501. doi:10.1111/j.1468‐2958. 1994.tb00332.x
 
−
Walther, J. B., & Burgoon, J. K. (1992). Relational communication in computer‐mediated  interaction. Human Communication Research, 19, 50–88. doi: 10.1111/j.1468‐2958. 1992.tb00295.x
 
−
== Originating area ==
 
−
Interpersonal communication and media studies
 
−
== Level of analysis ==
 
−
Individual
 
−
== Links to WWW sites describing theory ==
 
−
https://en.wikipedia.org/wiki/Social_information_processing_(theory), Wikipedia entry on Social information processing theory
 
−
== Links from this theory to other theories ==
 
−
Social identification/de‐individuation (SIDE) model of CMC, Social presence theory
 
−
== IS articles that use the theory ==
 
−
Antheunis, M., Valkenburg, P. M., & Peter, J. (2010). Getting acquainted through social network sites: Testing a model of online uncertainty reduction and social attraction. Computers in Human Behavior, 26, 100–109. doi: 10.1016/j.chb.2009.07.005
 
−
Tidwell, L. C., & Walther, J. B. (2002). Computer‐mediated communication effects on disclosure, impressions, and interpersonal evaluations: Getting to know one another a bit at a time. Human Communication Research, 28, 317–348. doi: 10.1111/j.1468‐2958. 2002.tb00811.x
 
−
Walther, J. B., & D’Addario, K. P. (2001). The impacts of emoticons on message interpretation in computer‐mediated communication. Social Science Computer Review, 19, 323–345. doi: 10.1177/089443930101900307
 
−
Walther, J. B., Loh, T., & Granka, L. (2005). Let me count the ways: The interchange of verbal and nonverbal cues in computer‐mediated and face‐to‐face affinity. Journal of Language and Social Psychology, 24, 36–65. doi: 10.1177/0261927X04273036
 
−
Walther, J. B., Van Der Heide, B., Ramirez, A. Jr., et al. (2015). Interpersonal and hyperpersonal aspects of computer‐mediated communication. In S. S. Sundar (Ed.), The handbook of psychology and communication technology(pp. 3–22). Oxford, UK: Wiley Blackwell.
 
−
Wang, Z., Walther, J. B., & Hancock, J. T. (2009). Social identification and interpersonal communication in computer‐mediated communication: What you do versus who you are  in virtual groups.  Human Communication Research, 35, 59–85. doi:10.1111/j.1468‐2958.2008.01338.x
 
−
Wilson, J. M., Straus, S. G., & McEvily, B. (2006). All in due time: The development of trust in computer‐mediated and face‐to‐face teams. Organizational Behavior and Human Decision Processes, 99, 16–33. doi: 10.1016/j.obhdp.2005.08.001
 
−
== Contributor(s) ==
 
−
Ben Krishna, Doctoral Student at Indian Institute of Management, Kozhikode, India
 
  
−
== Date last updated ==
+
 
−
18/12/2019
+
=='''Name of Theory'''==
−
Please feel free to make modifications to this site. In order to do so, you must register.__FORCETOC__
+
==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)
 +
 
 +
[[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"