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Erschienen in:
Multi-criteria Fusion of Heterogeneous Information for Improving Situation Awareness on Emergency Management Systems Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

What Methodological Attributes Are Essential for Novice Users to Analytics? – An Empirical Study

verfasst von : Supunmali Ahangama, Danny Chiang Choon Poo

Erschienen in: Human Interface and the Management of Information. Information and Knowledge in Context

Verlag: Springer International Publishing

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Abstract

Data analytic methodologies proposed to improve the productivity of a data analytic process have failed due to user resistance for changing their existing working practices. Thus, an attempt was made in this paper to determine methodological attributes influencing user acceptance, using literature on software engineering methodology adoption, Theory of Diffusion of Innovation and Technology Acceptance Model. Through a survey carried out among novice users we found that the relative advantage and result demonstrability of the analytical model development process as well as the usefulness of knowledge management are significant attributes affecting usage intention of an analytics methodology. The theoretical and practical implications for effective implementation of data analytic methodologies too are mentioned.

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Vorheriges Kapitel Scene Feature Recognition-Enabled Framework for Mobile Service Information Query System
Nächstes Kapitel What Should I Read Next? A Personalized Visual Publication Recommender System
Fußnoten
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Survey questionnaire is not given in this paper due to page limitation. Please email authors should you require further details.
 
Literatur
1.
Mariscal, G., Marbán, Ó., Fernández, C.: A survey of data mining and knowledge discovery process models and methodologies. Knowl. Eng. Rev. 25, 137–166 (2010)CrossRef
2.
Chan, F.K., Thong, J.Y.: Acceptance of agile methodologies: a critical review and conceptual framework. Decis. Support Syst. 46, 803–814 (2009)CrossRef
3.
Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., Wirth, R.: CRISP-DM 1.0 Step-by-step data mining guide (2000)
4.
5.
Ahangama, S., Poo, D.C.C.: Unified structured process for health analytics. Int. J. Med. Health Pharm. Biomed. Eng. 8, 744–752 (2014)
6.
Hardgrave, B.C., Davis, F.D., Riemenschneider, C.K.: Investigating determinants of software developers’ intentions to follow methodologies. J. Manage. Inform. Syst. 20, 123–152 (2003)
7.
Riemenschneider, C.K., Hardgrave, B.C., Davis, F.D.: Explaining software developer acceptance of methodologies: a comparison of five theoretical models. IEEE Trans. Softw. Eng. 28, 1135–1145 (2002)CrossRef
8.
Mohan, K., Ahlemann, F.: What methodology attributes are critical for potential users? understanding the effect of human needs. In: Mouratidis, H., Rolland, C. (eds.) CAiSE 2011. LNCS, vol. 6741, pp. 314–328. Springer, Heidelberg (2011)CrossRef
9.
Moore, G.C., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 2, 192–222 (1991)CrossRef
10.
Catley, C., Smith, K., McGregor, C., Tracy, M.: Extending CRISP-DM to incorporate temporal data mining of multidimensional medical data streams: a neonatal intensive care unit case study. In: 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009, pp. 1–5 (2009)
11.
Dybå, T., Dingsøyr, T.: Empirical studies of agile software development: a systematic review. Inf. Softw. Technol. 50, 833–859 (2008)CrossRef
12.
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35, 982–1003 (1989)CrossRef
13.
Rogers, E.M.: Diffusion of innovations. Simon and Schuster, New York (2010)
14.
Fichman, R.G., Kemerer, C.F.: Adoption of software engineering process innovations: the case of object-orientation. Sloan Manag. Rev. 34, 7–22 (2012)
15.
Raghavan, S.A., Chand, D.R.: Diffusing software-engineering methods. IEEE Softw. 6, 81–90 (1989)CrossRef
16.
Iivari, J., Iivari, N.: The relationship between organizational culture and the deployment of agile methods. Inf. Softw. Technol. 53, 509–520 (2011)CrossRef
17.
Roberts, T.L., Gibson, M.L., Fields, K.T., Rainer Jr., R.K.: Factors that impact implementing a system development methodology. IEEE Trans. Softw. Eng. 24, 640–649 (1998)CrossRef
18.
Johnson, R.A., Hardgrave, B.C., Doke, E.R.: An industry analysis of developer beliefs about object-oriented systems development. ACM SIGMIS Database 30, 47–64 (1999)CrossRef
19.
Nambisan, S.: Information systems as a reference discipline for new product development. MIS Q. 27(1), 1–18 (2003)
20.
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13, 319–340 (1989)CrossRef
21.
Marban, O., Segovia, J., Menasalvas, E., Fernández-Baizán, C.: Toward data mining engineering: a software engineering approach. Inf. Syst. 34, 87–107 (2009)CrossRef
22.
Weber, C.V., Paulk, M.C., Wise, C.J., WitheyKey, J.V.: Practices of the capability maturity model, DTIC Document (1991)
23.
Argote, L., McEvily, B., Reagans, R.: Managing knowledge in organizations: an integrative framework and review of emerging themes. Manage. Sci. 49, 571–582 (2003)CrossRef
24.
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27, 425–478 (2003)
25.
Kankanhalli, A., Lee, O.-K.D., Lim, K.H.: Knowledge reuse through electronic repositories: a study in the context of customer service support. Inf. Manag. 48, 106–113 (2011)CrossRef
26.
Hair, J.F., Tatham, R.L., Anderson, R.E., Black, W.: Multivariate Data Analysis, Pearson Prentice Hall, Upper Saddle River (2006)
27.
Kankanhalli, A., Tan, B.C., Wei, K.-K., Holmes, M.C.: Cross-cultural differences and information systems developer values. Decis. Support Syst. 38, 183–195 (2004)CrossRef
28.
Kim, H.-W., Chan, H.C., Kankanhalli, A.: What motivates people to purchase digital items on virtual community websites? the desire for online self-presentation. Inf. syst. Res. 23, 1232–1245 (2012)CrossRef
29.
Arch, E.C., Cummins, D.E.: Structured and unstructured exposure to computers: sex differences in attitude and use among college students. Sex Roles 20, 245–254 (1989)CrossRef
30.
Falk, R.F., Miller, N.B.: A primer for soft modeling. University of Akron Press, Akron (1992)
31.
Agarwal, R., Prasad, J.: The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decis. Sci. 28, 557–582 (1997)CrossRef
Metadaten
Titel
What Methodological Attributes Are Essential for Novice Users to Analytics? – An Empirical Study
verfasst von
Supunmali Ahangama
Danny Chiang Choon Poo
Copyright-Jahr
2015
Buch
Human Interface and the Management of Information. Information and Knowledge in Context

Print ISBN: 978-3-319-20617-2

Electronic ISBN: 978-3-319-20618-9

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-20618-9_8

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