The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Leveraging Information Technology Infrastructure to Facilitate a Firm's Customer Agility and Competitive Activity: An Empirical Investigation
Abstract
This paper investigates how information technology (IT) facilitates a firm's customer agility and, in turn, competitive activity. Customer agility captures the extent to which a firm is able to sense and respond quickly to customer-based opportunities for innovation and competitive action. Drawing from the dynamic capability and IT business value research streams, we propose that IT plays an important role in facilitating a "knowledge creating" synergy derived from the interaction between a firm's Web-based customer infrastructure and its analytical ability. This will enhance the firm's ability to sense customer-based opportunities. IT also plays an important role in "process enhancing" synergy obtained from the interaction between a firm's coordination efforts and its level of information systems integration, which facilitates the firm's ability to respond to those opportunities. We also leverage the competitive dynamics and strategic alignment literature to propose that the alignment between customer-sensing capability and customer-responding capability will impact the firm's competitive activity. We test our model with a two-stage research design in which we survey marketing executives of high-tech firms. Our results show that a Web-based customer infrastructure facilitates a firm's customer-sensing capability; furthermore, analytical ability positively moderates this relationship. We also find that internal systems integration positively moderates the relationship between interfunctional coordination and a firm's customer-responding capability. Finally, our results show that agility alignment affects the efficacy of a firm's competitive actions. In particular, action efficacy is higher when sensing and responding capabilities are both high.
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Cites
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
Cheung, G. W., & Rensvold, R. B. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0902_5 · Cited by 16,280
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
The Duality of Technology: Rethinking the Concept of Technology in Organizations
Orlikowski, W. J. (1992) · Organization Science · doi:10.1287/orsc.3.3.398 · Cited by 4,957
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
Determinants of Coordination Modes within Organizations
Ven, A. H. V. D., Delbecq, A. L., & Koenig, R. (1976) · American Sociological Review · doi:10.2307/2094477 · Cited by 1,979
EDWARDS, J. R., & PARRY, M. E. (1993) · Academy of Management Journal · doi:10.2307/256822 · Cited by 1,534
Collaborating to create: The Internet as a platform for customer engagement in product innovation
Sawhney, M., Verona, G., & Prandelli, E. (2005) · Journal of Interactive Marketing · doi:10.1002/dir.20046 · Cited by 1,406
Tallon, P. P., & Pinsonneault, A. (2011) · MIS Quarterly · doi:10.2307/23044052 · Cited by 1,187
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Schilke, O., Hu, S., & Helfat, C. E. (2018) · Academy of Management Annals · doi:10.5465/annals.2016.0014 · Cited by 1,226
Mikalef, P., & Pateli, A. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.09.004 · Cited by 1,038
Benitez, J., Arenas, A., Castillo, A., & Esteves, J. (2022) · Information & Management · doi:10.1016/j.im.2022.103590 · Cited by 537
Tallon, P. P., Queiroz, M., Coltman, T., & Sharma, R. (2019) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2018.12.002 · Cited by 453
Perifanis, N.-A., & Kitsios, F. (2023) · Information · doi:10.3390/info14020085 · Cited by 407
Fosso Wamba, S. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102544 · Cited by 269
Information Technology Impacts on Firm Performance: An Extension of Kohli and 1
Sabherwal, R., & Jeyaraj, A. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.4.4 · Cited by 200
George Washington University, U., Park, Y., El Sawy, O. A., University of Southern California, U., Fiss, P. C., & University of Southern California, U. (2017) · Journal of the Association for Information Systems · doi:10.17705/1jais.00467 · Cited by 189
Dynamic information technology capability: Concept definition and framework development
Li, T. (., & Chan, Y. E. (2019) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2019.101575 · Cited by 151
Chatfield, A. T., & Reddick, C. G. (2018) · Government Information Quarterly · doi:10.1016/j.giq.2017.11.002 · Cited by 141
Digitally transforming work styles in an era of infectious disease
Kodama, M. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102172 · Cited by 116
Metadata
- Authors
- Roberts, N., & Grover, V.
- Venue
- Journal of Management Information Systems
- Publisher
- Informa UK Limited
- Published
- 2012-04
- Volume
- 28
- Issue
- 4
- Pages
- 231-270
- ISSN
- 0742-1222 (ISSN-L)
- 1557-928X
- OpenAlex
- W2158951848
- Cited by
- 501
- References
- 14
- FWCI
- 46.07
- Type
- journal article
- Language
- en
- Open access
- closed
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