IS-enabled performance improvement at the individual level

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

IS-enabled performance improvement at the individual level: evidence of complementarity

Full text

Pdf (182 KB)

Source

Special Interest Group on Computer Personnel Research Annual Conference archive
Proceedings of the 2006 ACM SIGMIS CPR conference on computer personnel research: Forty four years of computer personnel research: achievements, challenges & the future table of contents

Claremont, California, USA

SESSION: Session 2.2 table of contents

Pages: 25 - 33

Year of Publication: 2006

ISBN:1-59593-349-2

Authors

Vikas Jain	George Washington University, Washington, DC
Shivraj Kanungo	George Washington University, Washington, DC

Sponsors

SIGMIS: ACM Special Interest Group on Management Information Systems
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 11, Downloads (12 Months): 49, Citation Count: 1

Additional Information:

abstract references cited by index terms collaborative colleagues

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/1125170.1125181 What is a DOI?

ABSTRACT

Based on a survey of 246 individuals, we provide empirical evidence of the role of complementarity in influencing IS-enabled performance improvement at the individual level. Our results show that the marginal contribution of unit change in the degree of IS use to IS-enabled performance improvement is enhanced considerably with improvement in the way IS is used. This research contributes to IS value research by providing empirical evidence of effect of complementarity between determinants of IS-enabled performance improvement on realized performance improvement. It also highlights the significance of nature of IS use in influencing IS-enabled performance improvement.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Dennis A. Adams , R. Ryan Nelson , Peter A. Todd, Perceived usefulness, ease of use, and usage of information technology: a replication, MIS Quarterly, v.16 n.2, p.227-247, June 1992 [doi>10.2307/249577]
	2	Ritu Agarwal , Jayesh Prasad, A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology, Information Systems Research, v.9 n.2, p.204-215, February 1998 [doi>10.1287/isre.9.2.204]
	3	Agarwal, R. (2000). Individual Acceptance of Information Technologies, in R. W. Zmud (Ed.), Framing The Domains of IT Management: Projecting the Future Through the Past, Cincinnati, OH: Pinnaflex Press, 2000, 85--104.
	4	Barua, A., Kriebel, C. H., and Mukhopadhayay, T. (1995). Information technologies and business value: An analytic and empirical investigation, Information. System Research, 6(1), 3--23.
	5	Boudreau, M-C. and Seligman, L. (2003). A learning-based model of quality of use: Insights from a case study of ERP mplementation, Diffusion Interest Group in Information Technology (DIGIT) Workshop, Seattle, December 14, 2003.
	6	Brynjolfsson, E. and Hitt, L.(2000). Beyond computation: Information technology, organization transformation and business performance, Journal of Economic Perspectives, 14(4), 23--48.
	7	Chin, W.W.(1996). The measurement and meaning of IT usage: Reconciling recent discrepancies between self-reported and computer recorded usage, ASAC, 1996, Montreal, Quebec.
	8	Chin, W.W., Gopal, A., Salisbury, W.D. (1997). Advancing the theory of adaptive structuration: The development of a scale to measure faithfulness of appropriation, Information Systems Research, 8(4), 342--367.
	9	Deborah R. Compeau , Christopher A. Higgins, Computer self-efficacy: development of a measure and initial test, MIS Quarterly, v.19 n.2, p.189-211, June 1995 [doi>10.2307/249688]
	10	Davis, F.D.(1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 319--339.
	11	Fred D. Davis , Richard P. Bagozzi , Paul R. Warshaw, User acceptance of computer technology: a comparison of two theoretical models, Management Science, v.35 n.8, p.982-1003, Aug. 1989 [doi>10.1287/mnsc.35.8.982]
	12	Davis, T.R.V. (1991). Information Technology and white-collar productivity, Academy of Management Executive, 5(1), 55--67.
	13	DeLone, W.H., and McLean, E. (1992). Information systems success: The quest for the dependent Variable, Information Systems Research, 3(1), 60--95.
	14	DeLone, W.H., and McLean, E.(2003). The DeLone and McLean model of information systems success: A ten-years update, Journal of Management Information Systems, 19(4), 9--30.
	15	Edgeworth , F.Y. (1881). Mathematical Psychics London: Kegan Paul & Co., 1881.
	16	Fichman, R.G. (2000). The diffusion and assimilation of information technology innovations, in framing the domains of IT management. Projecting the future.. Through the past., R.W. Zmud (Ed.), Cinncinati: Pinnaflex Education Resources, 2000, 105--127.
	17	David Gefen , Detmar W. Straub, Gender differences in the perception and use of E-mail: an extension to the technology acceptance model, MIS Quarterly, v.21 n.4, p.389-400, Dec. 1997 [doi>10.2307/249720]
	18	Gefen, D., Straub, D., and Boudreau, M. C. (2000). Structural Equation Modeling and Regression: Guidelines for Research Practice, Communications of AIS, 4(7), 1--80.
	19	Dale L. Goodhue , Ronald L. Thompson, Task-technology fit and individual performance, MIS Quarterly, v.19 n.2, p.213-236, June 1995 [doi>10.2307/249689]
	20	Hutcheson, G. and Sofroniou, N. (1999). The multivariate social scientist: Introductory statistics using generalized linear models, Thousand Oaks, CA: Sage Publications.
	21	Rob Kling , Suzanne Iacono, The control of information systems developments after implementation, Communications of the ACM, v.27 n.12, p.1218-1226, Dec. 1984 [doi>10.1145/2135.358307]
	22	Kraemer, K.L. and Danziger, J.N. (1990). The impacts of computer technology on the work life of information workers, Social Science Computer Review, 8(4), 592--613.
	23	Lucas, H.C. and Spitler, V.K. (1999). Technology Use and Performance: A Field Study of Broker Workstations, Decision Sciences, 30, 291--311.
	24	Barbara L. Marcolin , Deborah R. Compeau , Malcolm C. Munro , Sid L. Huff, Assessing User Competence: Conceptualization and Measurement, Information Systems Research, v.11 n.1, p.37-60, March 2000 [doi>10.1287/isre.11.1.37.11782]
	25	Milgrom, P., Qian, Y., and Roberts, J. (1991). Complementarities, momentum, and the evolution of modern manufacturing, American Economic Review, 81(2), 84--88.
	26	Satish Nambisan , Ritu Agarwal , Mohan Tanniru, Organizational mechanisms for enhancing user innovation in information technology, MIS Quarterly, v.23 n.3, p.365-395, Sept. 1999 [doi>10.2307/249468]
	27	B. T. Pentland, Use and productivity in personal computing, Proceedings of the tenth international conference on Information Systems, p.211-222, December 1989, Boston, Massachusetts, United States [doi>10.1145/75034.75053]
	28	Robey, D. (1979). User attitudes and management information systems Use, Academy of Management Journal, 22(3), 527--538.
	29	V. L. Saga , R. W. Zmud, The Nature and Determinants of IT Acceptance, Routinization, and Infusion, Proceedings of the IFIP TC8 Working Conference on Diffusion, Transfer and Implementation of Information Technology, p.67-86, October 11-13, 1993
	30	Smith, K. W., and Sasaki, M. S. (1979). Decreasing Multicollinearity: A Method for Models with Multiplicative Functions, Sociological Methods and Research, 8, 35--56.
	31	Soh, C. and Markus, M. L. (1995). How IT creates business value: A process theory synthesis, In the Proceedings of the Sixteenth International Conference on Information Systems, 29--41.
	32	Detmar Straub , Moez Limayem , Elena Karahanna-Evaristo, Measuring system usage: implications for IS theory testing, Management Science, v.41 n.8, p.1328-1342, Aug. 1995 [doi>10.1287/mnsc.41.8.1328]
	33	Straub, D.W (1994). The effect of culture on IT diffusion: E-mail and Fax in Japan and the U.S, Information Systems Research, 5(1), 23--47.
	34	Sulek, J.M and Marucheck, A.S. (1992). A study of the impact of an integrated information technology on the time utilization of information workers, Decision Sciences, 23 (11), 74--91.
	35	Bernadette Szajna, Empirical evaluation of the revised technology acceptance model, Management Science, v.42 n.1, p.85-92, Jan. 1996 [doi>10.1287/mnsc.42.1.85]
	36	Tallon, P., Kraemer, K. L., and Gurbaxani, V. (2000). Executives perspectives on the business value of information technology, Journal of Management Information System, 16(4), 145--173.
	37	Shirley Taylor , Peter Todd, Assessing IT usage: the role of prior experience, MIS Quarterly, v.19 n.4, p.561-570, Dec. 1995 [doi>10.2307/249633]
	38	Torkzadeh, G. and Doll, W.J. (1999). The development of a tool for measuring the perceived impact of information technology on work, Omega, 27(3), 327--339.
	39	Ronald L. Thompson , Christopher A. Higgins , Jane M. Howell, Personal computing: toward a conceptual model of utilization, MIS Quarterly, v.15 n.1, p.125-143, March 1991 [doi>10.2307/249443]
	40	Tornatzky,L., Eveland, J. D., and Fleischer, M. (1990). Technological innovation: Definitions and perspectives, In The Process of Technological Innovation. Lexington Books, 1990, 2--25.
	41	Viswanath Venkatesh , Fred D. Davis, A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, Management Science, v.46 n.2, p.186-204, February 2000 [doi>10.1287/mnsc.46.2.186.11926]
	42	Venkatesh, V., Morris, M.G, Davis, G.B., and Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425--478.
	43	Weill, P. (1992). The relationship between information technology and firm performance: A study of the valve-manufacturing sector, Information System Research 3(4), 307--333.
	44	Zhu, K. (2004). The complementarity of information technology infrastructure and E-commerce capability: A resource-based assessment of their business value, Journal of Management Information Systems, 21(1), 167--202.