The DOI matches its OpenAlex record; 4 of the 4 references it cites were found in a registry or an index.
A Theory of the Effects of Advanced Information Technologies on Organizational Design, Intelligence, and Decision Making
Abstract
This article sets forth a theory of the effects that computer-assisted communication and decision-aiding technologies have on organizational design, intelligence, and decision making. Several components of the theory are controversial and in need of critical empirical investigation. The article focuses on those technology-prompted changes in organizational design that affect the quality and timeliness of intelligence and decision making, as contrasted with those that affect the production of goods and services.
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Citations
Cites
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Judgment under Uncertainty: Heuristics and Biases
(1982) · doi:10.1017/cbo9780511809477 · Cited by 8,240
Information Technology and Organizational Change: Causal Structure in Theory and Research
Markus, M. L., & Robey, D. (1988) · Management Science · doi:10.1287/mnsc.34.5.583 · Cited by 2,108
Cited by
Organizational learning: The contributing processes and the literatures
Huber, G. P. (1991) · Organization Science · doi:10.1287/orsc.2.1.88 · Cited by 8,072
Self-citationThe Impact of Technostress on Role Stress and Productivity
Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240109 · Cited by 1,904
10 Sociomateriality: Challenging the Separation of Technology, Work and Organization
Orlikowski, W. J., & Scott, S. V. (2008) · Academy of Management Annals · doi:10.5465/19416520802211644 · Cited by 2,571
Enacting Integrated Information Technology: A Human Agency Perspective
Boudreau, M.-C., & Robey, D. (2005) · Organization Science · doi:10.1287/orsc.1040.0103 · Cited by 1,071
The impact of information systems on organizations and markets
Gurbaxani, V., & Whang, S. (1991) · Communications of the ACM · doi:10.1145/99977.99990 · Cited by 960
Actualizing organizational memory with information systems
Stein, E. W., & Zwass, V. (1995) · Information Systems Research · doi:10.1287/isre.6.2.85 · Cited by 843
The role of leadership in a digitalized world: a review
Cortellazzo, L., Bruni, E., & Zampieri, R. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01938 · Cited by 808
Sharma, R., Mithas, S., & Kankanhalli, A. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2014.17 · Cited by 516
Wang, B., Liu, Y., & Parker, S. K. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0127 · Cited by 377
Developing a multidimensional measure of system-use in an organizational context
Doll, W. J., & Torkzadeh, G. (1998) · Information & Management · doi:10.1016/s0378-7206(98)00028-7 · Cited by 334
Innovating with enterprise systems and digital platforms: A contingent resource-based theory view
Sedera, D., Lokuge, S., Grover, V., Sarker, S., & Sarker, S. (2016) · Information & Management · doi:10.1016/j.im.2016.01.001 · Cited by 246
Organisational, Technical and Data Quality Factors in CRM Adoption—SMEs Perspective
Alshawi, S., Missi, F., & Irani, Z. (2011) · Industrial Marketing Management · doi:10.1016/j.indmarman.2010.08.006 · Cited by 204
Narayanan, S., Jayaraman, V., Luo, Y., & Swaminathan, J. M. (2011) · Journal of Operations Management · doi:10.1016/j.jom.2010.05.001 · Cited by 202
O’Leary, M. B., Wilson, J. M., & Metiu, A. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.4.13 · Cited by 191
Oldham, G. R., & Da Silva, N. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2013.10.041 · Cited by 144
Multiple Conceptualizations of Small Business Web Use and Benefit*
Pflughoeft, K. A., Ramamurthy, K., Soofi, E. S., Yasai‐Ardekani, M., & Zahedi, F. (. (2003) · Decision Sciences · doi:10.1111/j.1540-5414.2003.02539.x · Cited by 139
Information technology usage and human resource roles and effectiveness
Haines, V. Y., & Lafleur, G. (2008) · Human Resource Management · doi:10.1002/hrm.20230 · Cited by 132
Smart Maintenance Decision Support Systems (SMDSS) based on corporate big data analytics
Bumblauskas, D., Gemmill, D., Igou, A., & Anzengruber, J. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.08.025 · Cited by 120
Calhoun, K. J., Teng, J. T. C., & Cheon, M. J. (2002) · Behaviour & Information Technology · doi:10.1080/0144929021000013491 · Cited by 111
Human-centered design of a distributed knowledge management system
Rinkus, S., Walji, M., Johnson-Throop, K. A., Malin, J. T., Turley, J. P., Smith, J. W., & Zhang, J. (2005) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2004.11.014 · Cited by 94
Structuring the phenomenon of procurement digitalisation: Contexts, interventions and mechanisms
Lorentz, H., Aminoff, A., Kaipia, R., & Srai, J. S. (2021) · International Journal of Operations & Production Management · doi:10.1108/ijopm-03-2020-0150 · Cited by 51
Neirotti, P., Pesce, D., & Battaglia, D. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121088 · Cited by 39
O'Leary, M. B., Wilson, J. M., & Metiu, A. (2013) · doi:10.2139/ssrn.2322710 · Cited by 16
Kowalczyk, M., & Gerlach, J. (2015) · University of Münster, Münster, Germany · doi:10.18151/7217398 · Cited by 9
Metadata
- Authors
- Huber, G. P.
- Venue
- Academy of Management Review
- Publisher
- Academy of Management
- Published
- 1990-01-01
- Volume
- 15
- Issue
- 1
- Pages
- 47-71
- ISSN
- 0363-7425 (ISSN-L)
- OpenAlex
- W2169548594
- Cited by
- 1,147
- References
- 4
- FWCI
- 60.87
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
