article

Advancing the Theory of Adaptive Structuration: The Development of a Scale to Measure Faithfulness of Appropriation

Authors:

W. David SalisburyAuthors Info & Claims

Information Systems Research, Volume 8, Issue 4

Pages 342 - 367

https://doi.org/10.1287/isre.8.4.342

Published: 01 December 1997 Publication History

Abstract

Adaptive Structuration Theory AST is rapidly becoming an influential theoretical perspective in research on advanced information technologies. However, there still exists a paucity of methods to capture critical AST constructs. This paper describes the development of an instrument to capture the extent to which users of an advanced information technology believe they have appropriated its structures faithfully. The development of such instruments is considered critical if the theoretical base provided by AST is to be fully exploited in understanding the use of advanced information technologies. The development procedure, which occurred in the context of the use of an electronic meeting system, was carried out in three phases that began with initial item development and proceeded through an exploratory to a confirmatory phase. Three experiments, two in the exploratory phase and one in the confirmatory phase, were performed. In the final phase, structural equation modeling techniques were used to confirm the convergent, discriminant, and nomological validity of the resulting five-item scale.

References

[1]

Arbuckle, J., AMOS 3.1 Documentation Package, Department of Psychology, Temple University, Philadelphia, PA, 1993.

[2]

Bagozzi, R. P. and Y. Yi, "On the Evaluation of Structural Equation Models," J. Acad. Marketing Sci., 16 (1988), 74-94.

[3]

Beauclair, R. A., "An Experimental Study of the Effects of Group Decision Support System Process Support Applications on Small Group Decision Making," Unpublished Doctoral Dissertation, Indiana University, Bloomington, IN 1987.

[4]

Bentler, P. M., "Comparative Fit Indexes in Structural Models," Psychological Bulletin, 107 (1990), 238-246.

[5]

Bentler, P. M., and D. G. Bonett, "Significance Tests and Goodness of Fit in the Analysis of Covariance Structures," Psychological Bulletin, 88 (1980), 588-606.

[6]

Bollen, K. A., "Sample Size and Bentler and Bonett's Non Normed Fit Index," Psychometrika, 51 (1986), 375-377.

[7]

Bollen, K. A., Structural Equations Modeling with Latent Variables, Wiley, New York, 1989.

[8]

Bryant, C. G. A., "Sociology Without Philosophy? The Case of Giddens' Structuration Theory," Sociological Theory, 10, 2 (1992), 137-149.

[9]

Chin, W. W. and P. A. Todd, "On the Use, Usefulness, and Ease of Use of Structural Equation Modeling in MIS Research: A Note of Caution," MIS Quarterly, 19, 2 (1995), 237-246.

Digital Library

[10]

Clapper, D. L. and P. Prasad, "The Rationalization of the Organizational Meeting: Implications of Group Support Systems for Power, Symbolism and Face-Work," Proc. Fourteenth Annual International Conf. on Information Systems, ICIS, Orlando, FL, 1993, 321-329.

[11]

Cohen, J., Statistical Power Analysis for the Behavioral Sciences (Second Ed.), Lawrence Erlbaum Associates, Hillsdale, NJ, 1988.

[12]

Collins, R., Sociological Insight: An Introduction to Non-Obvious Sociology, Second Ed., Oxford University Press, New York, 1992.

[13]

Dalkey, N. and O. Halmer, "An Experimental Application of the Delphi Method to the Use of Experts," Management Sci., 6 (1963), 458-467.

[14]

Davis, F. D., "Perceived Usefulness, Perceived Ease Of Use, and User Acceptance of Information Technology," MIS Quarterly, 13, 3 (1989), 319-339.

Digital Library

[15]

Dennis, A. R. and R. B. Gallupe, "A History of Group Support Systems Empirical Research: Lessons Learned And Future Directions," in L. M. Jessup and J. S. Valacich (Eds.), Group Support Systems: New Perspectives, Macmillan, New York, 1993, 59-77.

[16]

Dennis, A. R. J. F. George, L. M. Jessup, J. F. Nunamaker, and D. R. Vogel, "Information Technology to Support Electronic Meetings," MIS Quarterly 12, 4 (1988), 591-624.

Digital Library

[17]

DeSanctis, G., "Small Group Research in Information Systems: Theory and Method," The Information Systems Research Challenge: Experimental Research Methods, 2 (1989), 53-82.

[18]

DeSanctis, G., "Shifting Foundations in Group Support Systems Research," in L. M. Jessup and J. S. Valacich (Eds.), Group Support Systems: New Perspectives, Macmillan, New York, 1993, 97-111.

[19]

DeSanctis, G., M. D'Onofrio, V. Sambamurthy, and M. S. Poole, "Comprehensiveness and Restrictiveness in Group Decision Heuristics: Effects of Computer Support on Consensus Decision Making," Proc. Tenth Annual International Conf. on Information Systems, 1989, 131-140.

Digital Library

[20]

DeSanctis, G., and R. B. Gallupe, "A Foundation for the Study of Group Decision Support Systems," Management Sci., 33, 5 (1987), 589-609.

[21]

DeSanctis, G., and M. S. Poole, "Capturing the Complexity of Advanced Technology Use: Adaptive Structuration Theory," Organization Sci., 5, 2 (1994), 121-147.

Digital Library

[22]

DeSanctis, G., J. R. Snyder, and M. S. Poole, "The Meaning of the Interface: A Functional and Holistic Evaluation of a Meeting Software System," Decision Support Systems, 11 (1994), 319-335.

Digital Library

[23]

Drucker, P. F., "The Coming of the New Organization," Harvard Business Rev., 66, 1 (1988), 45-53.

[24]

Giddens, A., Central Problems in Social Theory: Action, Structure, and Contradiction in Social Analysis, Macmillan, London, 1979.

[25]

Giddens, A., The Constitution of Society: Outline of the Theory of Structuration, University of California Press, Berkeley, CA, 1984.

[26]

Giddens, A., New Rules of Sociological Method: A Positive Critique of Interpretive Sociologies, Second Ed., Polity Press, Cambridge, U. K., 1993.

[27]

Gopal, A., The Effects of Technology Level and Task Type on Group Outcomes in a Group Decision Support System Environment, Unpublished Doctoral Dissertation, University of Georgia, 1991.

[28]

Gopal, A., R. P. Bostrom, and W. W. Chin, "Applying Adaptive Structuration Theory to Investigate the Process of Group Support Systems Use," J. Management Information Systems, 9, 3 (1993), 45-69.

[29]

Gordon, M. E., L. A. Slade, and N. Schmitt, "The 'Science of the Sophomore' Revisited: From Conjecture to Empiricism," Acad. Management Rev., 11, 1 (1986), 191-207.

[30]

Gordon, M. E., L. A. Slade, and N. Schmitt, "Student Guinea Pigs: Porcine Predictors and Particularistic Phenomena," Acad. Management Rev., 12, 1 (1987), 160-163.

[31]

Green, S. G. and T. D. Taber, "The Effects of Three Social Decision Schemes on Decision Group Process," Organizational Behavior and Human Performance, 25 (1980), 97-106.

[32]

Hackman, J. R. and R. E. Kaplan, "Interventions into Group Processes: An Approach to Improving the Effectiveness of Groups," Decision Sci., 5 (1974), 459-480.

[33]

Hu, L.-T., and P. M. Bentler, "Evaluating Model Fit," in R. H. Hoyle (Ed.), Structural Equation Modeling: Concepts, Issues, and Applications, Thousand Oaks, CA, 1995, 76-99.

[34]

Huber, G. P., "A Theory of the Effects of Advanced Information Technologies on Organizational Design, Intelligence, and Decision-Making," Acad. Management Rev., 5, 1 (1990), 47-71.

[35]

Janis, I. L., Groupthink, Houghton Mifflin, Boston, MA, 1982.

[36]

Long, J. S., Covariance Structure Models: An Introduction to LISREL, Sage University Paper Number 07-034, Sage, Newbury Park, CA, 1983.

[37]

MacCallum, R. C., M. W. Browne, and H. M. Sugawara, "Power Analysis and Determination of Sample Size for Covariance Structure Modeling," Psychological Methods, 1, 2 (1996), 130-149.

[38]

Maier, N. and R. Maier, "An Experimental Test of the Effects of 'Developmental' vs. 'Free' Discussions on the Quality of Group Decisions," J. Applied Psychology, 41 (1957), 320-333.

[39]

McDonald, R. P. and H. W. Marsh, "Choosing a Multivariate Model: Noncentrality and Goodness of Fit," Psychological Bulletin, 107, 2 (1990), 247-255.

[40]

Nunamaker, J. F., Jr., A. R. Dennis, J. S. Valacich, D. R. Vogel, and J. F. George, "Electronic Meeting Systems to Support Group Work," Comm. ACM, 34, 7 (1991), 40-61.

Digital Library

[41]

Orlikowski, W. J., "The Duality of Technology: Rethinking the Concept of Technology in Organizations," Organization Sci., 3, 3 (1992), 398-427.

Digital Library

[42]

Orlikowski, W. J., and D. Robey, "Information Technology and the Structuring of Organizations," Information Systems Res., 2, 2 (1991), 143-169.

[43]

Pentland, B., "Organizing Moves in Software Support Hot Lines," Admin. Sci. Quarterly, 37 (1992), 527-548.

[44]

Poole, M. S. and G. DeSanctis, "Understanding the Use of Group Decision Support Systems: The Theory of Adaptive Structuration," in J. Fulk and C. Steinfield (Eds.), Organizations and Communication Technology, Sage, Newbury Park, CA, 1990, 173-193.

[45]

Poole, M. S. and G. DeSanctis, "Microlevel Structuration in Computer-Supported Group Decision Making," Human Communication Res., 19, 1 (1992), 5-49.

[46]

Rao, V. S. and S. L. Jarvenpaa, "Computer Support of Groups: Theory-Based Models for GDSS Research," Management Sci., 37, 10 (1991), 1347-1362.

[47]

Ranson, S., B. Hinings, and R. Greenwood, "The Structuring of Organizational Structures," Admin. Sci. Quarterly, 25 (1980), 1-17.

[48]

Riley, P., "A Structuratiomst Account of Political Culture," Admin. Sci. Quarterly, 28 (1983), 414-437.

[49]

Sambamurthy, V., "Supporting Group Performance During Stakeholder Analysis: The Effects of Alternative Decision-based Designs," Unpublished Doctoral Dissertation, University of Minnesota, Minneapolis, MN, 1989.

[50]

Sambamurthy, V., and W. W. Chin, "The Effects of Group Attitudes Toward GDSS Designs on the Decision-Making Performance of Computer-Supported Groups," Decision Sci., 25, 2 (1994), 215-241.

[51]

Sambamurthy, V., and M. S. Poole, "The Effects of Variations in Capabilities of GDSS Designs on Management of Cognitive Conflict in Groups," Information Systems Res., 3, 3 (1992), 224-251.

Digital Library

[52]

Saris, W. E. and L. H. Stronkhorst, Causal Modeling In Nonexperimental Research: An Introduction To The LISREL Approach, Sociometric Research Foundation, Amsterdam, 1984.

[53]

Silver, M. S., "Decision Support Systems: Directed and Nondirected Change," Information Systems Res., 1, 1 (1990), 47-70.

Digital Library

[54]

Sproull, L. S. and P. S. Goodman, "Technology and Organizations: Integration and Opportunities," in P. S. Goodman, L. S. Sproull, and Associates, Technology and Organizations, Jossey-Bass, San Francisco, CA, 1990, 254-266.

[55]

Stasser, G., "Pooling of Unshared Information During Group Discussions," in S. Worchel, W. Wood, and J. A. Simpson (Eds.), Group Process and Productivity, Sage, Newbury Park, CA, 1992, 48-67.

[56]

Tucker, L. R. and C. Lewis, "A Reliability Coefficient for Maximum Likelihood Factor Analysis," Psychometnka. 38 (1973), 1-10.

[57]

Van de Ven, A. and A. Delbecq, "Nominal Versus Interacting Group Processes for Committee Decision Making," Acad. Management J., 14 (1974), 203-213.

[58]

Watson, R. T., Unpublished Doctoral Dissertation, University of Minnesota, "A Study of Group Decision Support System Use in Three-and Four-Person Groups for a Preference Allocation Decision," Minneapolis, MN, 1987.

[59]

Weick, K. E., "Technology as Equivoque: Sensemaking in New Technologies," in P. S. Goodman, L. S. Sproull, and Associates (Eds.), Technology and Organizations, Jossey-Bass, San Francisco, CA, 1990, 1-44.

[60]

Wheaton, B., B. Muthen, D. Alwin, and G. Summers, "Assessing Reliability and Stability in Panel Models," in D. Heise (Ed.), Sociological Methodology 1977, Jossey-Bass, San Francisco, CA, 1977, 84-136.

[61]

Wheeler, B. C. and B. M. Mennecke, "The School of Business Policy Task Manual," Indiana University Working Paper 92-524, Bloomington, 1992.

[62]

Wheeler, B. C. B. M. Mennecke, and J. N. Scudder, "Restrictive Group Support Systems as a Source of Process Structure for High and Low Procedural Order Groups," Small Group Res., 24, 4 (1993), 504-522.

[63]

Whittington, R., "Putting Giddens into Action: Social Systems and Managerial Agency," J. Management Studies, 29, 6 (1992), 695-712.

Cited By

Schwarz AChin W(2024)Information Technology AcceptanceInternational Journal of Information Management: The Journal for Information Professionals10.1016/j.ijinfomgt.2024.10281078:COnline publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1016/j.ijinfomgt.2024.102810
Solaimani SSwaak L(2023)Critical Success Factors in a multi-stage adoption of Artificial IntelligenceJournal of Engineering and Technology Management10.1016/j.jengtecman.2023.10176069:COnline publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.jengtecman.2023.101760
Zhang FZhang HGupta S(2022)Investor participation in reward-based crowdfunding: impacts of entrepreneur efforts, platform characteristics, and perceived valueInformation Technology and Management10.1007/s10799-022-00363-x24:1(19-36)Online publication date: 20-Mar-2022
https://dl.acm.org/doi/10.1007/s10799-022-00363-x
Show More Cited By

Recommendations

Research Report: Better Theory Through Measurement-Developing a Scale to Capture Consensus on Appropriation

Proper measurement is critical to the advancement of theory (Blalock 1979). Adaptive Structuration Theory (AST) is rapidly becoming an important theoretical paradigm for comprehending the impacts of advanced information technologies (DeSanctis and Poole ...
New Technology and the Post-human Self: Rethinking Appropriation and Resistance

In keeping with the current appreciation for the sociomateriality of technology-enabled practice, we are now advised to de-center human beings and to situate them as but one component among many in complex networks of heterogeneous actors. More radical ...
Giddens's structuration theory and information systems research

The work of the contemporary British sociologist Anthony Giddens, and in particular his structuration theory, has been widely cited by Information Systems researchers. This paper presents a critical review of the work of Giddens and its application in ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Information Systems Research

Information Systems Research Volume 8, Issue 4

December 1997

102 pages

ISSN:1526-5536

Issue’s Table of Contents

Publisher

INFORMS

Linthicum, MD, United States

Publication History

Published: 01 December 1997

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

64
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 29 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

Schwarz AChin W(2024)Information Technology AcceptanceInternational Journal of Information Management: The Journal for Information Professionals10.1016/j.ijinfomgt.2024.10281078:COnline publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1016/j.ijinfomgt.2024.102810
Solaimani SSwaak L(2023)Critical Success Factors in a multi-stage adoption of Artificial IntelligenceJournal of Engineering and Technology Management10.1016/j.jengtecman.2023.10176069:COnline publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.jengtecman.2023.101760
Zhang FZhang HGupta S(2022)Investor participation in reward-based crowdfunding: impacts of entrepreneur efforts, platform characteristics, and perceived valueInformation Technology and Management10.1007/s10799-022-00363-x24:1(19-36)Online publication date: 20-Mar-2022
https://dl.acm.org/doi/10.1007/s10799-022-00363-x
Kumar RKumar D(2021)Customer Purchase Intention Towards Dairy ProductsInternational Journal of Service Science, Management, Engineering, and Technology10.4018/IJSSMET.202111011012:6(166-180)Online publication date: 1-Nov-2021
https://dl.acm.org/doi/10.4018/IJSSMET.2021110110
Carraher-Wolverton CBurleson J(2021)Toward an Understanding of How Post- Deployment User- Developer Interactions Influence System UtilizationACM SIGMIS Database: the DATABASE for Advances in Information Systems10.1145/3508484.350848852:4(45-64)Online publication date: 29-Dec-2021
https://dl.acm.org/doi/10.1145/3508484.3508488
Pengnate SSarathy RArnold T(2021)The Influence of the Centrality of Visual Website Aesthetics on Online User Responses: Measure Development and Empirical InvestigationInformation Systems Frontiers10.1007/s10796-019-09957-323:2(435-452)Online publication date: 1-Apr-2021
https://dl.acm.org/doi/10.1007/s10796-019-09957-3
Wolverton CCenfetelli R(2020)An Exploration of the Drivers of Non- Adoption BehaviorACM SIGMIS Database: the DATABASE for Advances in Information Systems10.1145/3400043.340004851:2(54-81)Online publication date: 18-May-2020
https://dl.acm.org/doi/10.1145/3400043.3400048
Ku WLai HHsieh P(2020)Understanding Continuous Wearable Technology Use Behavior for Fitness and Self–health Management Among Middle-Aged and Elderly PeopleHuman Aspects of IT for the Aged Population. Technologies, Design and User Experience10.1007/978-3-030-50252-2_21(280-288)Online publication date: 19-Jul-2020
https://dl.acm.org/doi/10.1007/978-3-030-50252-2_21
Sultan MSharmin F(2020)An Exploratory Investigation of Facebook Live Marketing by Women Entrepreneurs in BangladeshSocial Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing10.1007/978-3-030-49576-3_30(415-430)Online publication date: 19-Jul-2020
https://dl.acm.org/doi/10.1007/978-3-030-49576-3_30
van der Linden DHadar IEdwards MRashid A(2019)Data, Data, Everywhere: Quantifying Software Developers’ Privacy AttitudesSocio-Technical Aspects in Security and Trust10.1007/978-3-030-55958-8_3(47-65)Online publication date: 26-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-55958-8_3
Show More Cited By

View Options

View options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Issue’s Table of Contents