Abstract
Previous research suggests the great importance of scrutinizing the information technology (IT) artifact itself. Yet, there is still limited attention to meet that goal. In this research, authors employed multiple research methods to investigate the technological characteristics dimensions, mainly including grounded theory method, focus group in-depth interview, content analysis, panel expert judgments and survey method. The results indicate that the complexity, utilitarian, hedonic, communication, flexibility, reliability, integration, accessibility, timeliness, accuracy, completeness, currency, format and stability are the critical and universal technological characteristics dimensions. Corresponding measurement items were also developed and illustrated. The findings have the potential to be applied in future investigations on the technological characteristics of IT artifact.
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References
Orlikowski, W.J., Iacono, C.S.: Research commentary: desperately seeking the “IT” In it research-a call to theorizing the IT artifact. Inf. Syst. Res. 12, 121–134 (2001)
Leifer, R.: Matching computer-based information systems with organizational structures. MIS Q. 12, 63–73 (1988)
Ngwenya, J., Keim, R.: The effects of augmenting face-to-face meetings with a web-based asynchronous group support system. J. Inf. Technol. Theor. Appl. 5, 47–62 (2003)
King, W.R., He, J.: A meta-analysis of the technology acceptance model. Inf. Manag. 43, 740–755 (2006)
Osrael, J., Froihofer, L., Goeschka, K.: Replication in service-oriented systems. J. Softw. Eng. Fault Toler. Syst. 19, 91–117 (2007)
Lau, R.Y.K., Li, Y., Song, D., et al.: Knowledge discovery for adaptive negotiation agents in e-marketplaces. Decis. Support Syst. 45, 310–323 (2008)
Nadkarni, S.: A task-based model of perceived website complexity. MIS Q. 31, 501–524 (2007)
Wixom, B.H., Todd, P.A.: A theoretical integration of user satisfaction and technology acceptance. Inf. Syst. Res. 16, 85–102 (2005)
Bailey, K.D.: Typologies and Taxonomies: An Introduction to Classification Techniques. Sage Publications, Inc, Thousand Oaks (1994)
Wand, Y., Storey, V.C., Weber, R.: An ontological analysis of the relationship construct in conceptual modeling. ACM Trans. Database Syst. 24, 494–528 (1999)
Strauss, A.L.: Qualitative Analysis for Social Scientists. Cambridge University Press, New York (1987)
Saya, S., Pee, L., Kankanhalli, A.: The impact of institutional influences on perceived technological characteristics and real options in cloud computing adoption. In: Thirty First International Conference on Information Systems, St. Louis, pp. 1–11 (2010)
Nunnally, J.C.: Psychometric Theory. McGraw-Hill, New York (1967)
Wakefield, R.L., Whitten, D.: Mobile computing: a user study on hedonic/utilitarian mobile device usage. Eur. J. Inf. Syst. 15, 292 (2006)
van der Heijden, H.: Hedonic information systems. MIS Q. 28, 695–704 (2004)
Dennis, A.R., Fuller, R.M., Valacich, J.S.: Media, tasks, and communication processes: a theory of media synchronicity. MIS Q. 32, 575–600 (2008)
Zigurs, I.: Buckland BK A theory of task/technology fit and group support systems effectiveness. MIS Q. 22, 313–334 (1998)
Sharma, R., Yetton, P.: The contingent effects of training, technical complexity, and task interdependence on successful information systems implementation. MIS Q. 31, 219 (2007)
Gorla, N., Somers, T.M., Wong, B.: Organizational impact of system quality, information quality, and service quality. J. Strateg. Inf. Syst. 19, 207–228 (2010)
Nelson, R.R., Todd, P.A., Wixom, B.H.: Antecedents of information and system quality: an empirical examination within the context of data warehousing. J. Manag. Inf. Syst. 21, 199–235 (2005)
Wu, J.H., Wang, Y.M.: Measuring ERP success: the key-users’ viewpoint of the ERP to produce a viable is in the organization. Comput. Hum. Behav. 23, 1582–1596 (2007)
Abugabah, A., Sanzogni, L.: Re-conceptualizing information systems models: an experience from ERP systems environment. Int. J. Infono. 3, 414–421 (2010)
Chung, B.Y., Skibniewski, M.J., Lucas Jr, H.C., et al.: Analyzing enterprise resource planning system implementation success factors in the engineering—construction industry. J. Comput. Civil Eng. 22, 373–382 (2008)
Acknowledgments
This research was supported by Humanities and Social Sciences Research Project of the Ministry of Education of China (11YJC630189) and Zhejiang Provincial Natural Science Foundation of China under Grant (LQ12G02009). And this material is based upon work funded by China Postdoctoral Science Foundation Funded Project (2011M500105, 2012T50560) and National Natural Science Foundation of China (70972119). Besides, this research was supported in part by Zhejiang Provincial Philosophy and Social Sciences Project (12JCGL11YB) and Zhejiang Provincial Key Research Base–Decision Science and Innovation Management (RWSKZD02-201206) and the Contemporary Business and Trade Research Center of Zhejiang Gongshang University, which is the Key Research Institute of Social Sciences and Humanities Ministry of Education.
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Sun, Y., Fan, Z., Xin, J., Xiang, Y., Chou, Hc. (2013). Open the Black Box of Information Technology Artifact: Underlying Technological Characteristics Dimension and its Measurement. In: Wong, W.E., Ma, T. (eds) Emerging Technologies for Information Systems, Computing, and Management. Lecture Notes in Electrical Engineering, vol 236. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7010-6_17
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