Enterprise Applications Led Resource Capabilities in Public Sector and Government in India: Key Insight into ICT for Development

Enterprise Applications Led Resource Capabilities in Public Sector and Government in India: Key Insight into ICT for Development

Niraj Prakash (Solution Consulting, Enterprise Applications, Oracle, Gurgaon, Haryana, India), A. K. Saini (GGS Indraprastha University, New Delhi, Delhi, India) and Mahadeo Jaiswal (Management Development Institute, Gurgaon, Haryana, India)
DOI: 10.4018/ijicthd.2014010101
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Abstract

Resource Based View (RBV) forms an important theoretical base for several IS researches. RBV theory and related IS researches provide several categories and types (typology) of resource capabilities that create and enhance the sustained competitive advantage (SCA) of firms. While the resource capabilities that are enabled by enterprise applications (EA) will closely mirror the ones provided by IS researches on this topic, a specific study of such capabilities in the context of enterprise applications in public sector and government is attempted in this study. This will improve the understanding of EA-enabled resource capabilities in general and public sector in particular. The understanding and insights can be widely applied to ICT for Development. Literature survey provides the capabilities' matrix and the resulting framework is corroborated with a study of 55 public sector and government organizations in India.
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Linkages Between Enterprise Applications, Resource Capabilities And Public Value

The RBV theory provides a valuable way for IS researchers to think about how information systems relate to firm strategy and performance. Literature on IS which use the RBV theory clearly concludes that firms with superior IT capability also exhibit superior firm performance (Bharadwaj, 2000; Mata et al., 1995; Ross et al., 1996; Feeny & Willcocks, 1998; Ray et al., 2001), but this becomes possible only through the interrelations and complementarities of other organizational resources (Powell & Dent-Micallef, 1997; Lopes & Galletta, 1997; Armstrong & Sambamurthy, 1999; Pereira 1999; Zhu, 2004).

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