Stages of growth in end-user computing: applications in the health sector of developing countries in Asia-Pacific

Jayasuriya, Rohan

doi:10.1057/jit.1993.21

Cited by 7 publications

(5 citation statements)

References 18 publications

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“…Jayasuriya [7] has discussed the growth of end-user computing, using a framework where structure, technology, and people are interrelated and mutually adjusting benchmark areas. In a similar way, our research built a composite analytical framework where each stage of e-government interoperability was described in three different, but related, aspects: (1) organizational interoperability, (2) semantic interoperability, and (3) technical interoperability.…”

Section: Empirical Model Testingmentioning

confidence: 99%

The Modeling Process for Stage Models

Solli‐Sæther

Gottschalk

2010

Journal of Organizational Computing and Electronic Commerce

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The purpose of this paper is to present and test a modeling procedure because researchers have struggled for decades to develop stages-of-growth models that are both theoretically founded and empirically validated. This article presents the concept and hypothesis of stages, the history of stage models, and a procedure that may serve as a useful tool in modeling stages of growth. Based on previous research and lessons learned from case study experience of the government sector in Norway, a procedure for the stages of growth modeling process is suggested and demonstrated. The procedure is used for developing a stage model for e-government interoperability. This article provides new insight into issues and challenges faced when engaging in stages of growth research. The paper proposes a new approach to stages of growth modeling. The utility of the suggested procedure is to improve theory building and empirical validation. The contribution to academia is the modeling process that can be applied in future developments of stages of growth. The contribution to practice lies in the stage hypothesis of organizational development over time.

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Section: Empirical Model Testingmentioning

confidence: 99%

The Modeling Process for Stage Models

Solli‐Sæther

Gottschalk

2010

Journal of Organizational Computing and Electronic Commerce

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“…The names of stages and the benchmark variables by which they are measured differ to some extent, as is evident from the plethora of SoG models that have been developed over the past 40 years. However, all SoG models purport that ISs evolve through a number of stages, with respect to their use and management, and increase in sophistication and complexity as their application becomes more significant and mission critical (Chan and Swatman, 2004;Damsgaard and Scheepers, 1999;de Brí, 2009;de Bruin et al, 2005;Duane and Finnegan, 2003;Earl, 1989;Forrester, 2012;García et al, 2013;Gibson and Nolan, 1974;Gottschalk and Khandelwal, 2004;Gottschalk and Solli-Saether, 2010;Jacobs and Nakata, 2010;Janssen and van Veenstra, 2005;Jayasuriya, 1993;Jeffery and Leliveld, 2004;Kazanjian, 1988;King and Teo, 1997;KPMG, 1997;Layne and Lee, 2001;Lingling, 2011;Magal et al, 1988;McFarlan and McKenney, 1982;Nikhil et al, 2007;Rao et al, 2003;Rocha, 2012). The following sections discuss the development and use of SoG models over the past 40 years, including recent SoG models for social media, before discussing the dominant problems associated with social media.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, Brugha (1998) disputes this approach and suggests that it is more beneficial to focus on activities rather than outputs, as they are less contextual and because activities provide decision makers with better indicators of what to do at each stage. Numerous other authors have proposed theoretical stages of IS growth models based on these models for a variety of purposes, including end user computing (Huff et al, 1988;Jayasuriya, 1993), information centres (Magal et al, 1988), technology-based new ventures (Kazanjian, 1988), IS planning (King and Teo, 1997) and IT portfolio management (Jeffery and Leliveld, 2004), and for the most part, empirical testing of the stages proposed in these models has been positive.…”

Section: Stages-of-growth (Sog) Modelsmentioning

confidence: 99%

A conceptual stages-of-growth model for managing a social media business profile

Duane

O’Reilly

2017

The Irish Journal of Management

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There is little understanding of how organisations manage social media. Stage-of-growth (SoG) models represent a picture of evolution, where the current stage can be understood in terms of history and future, providing an opportunity to identify the stages, paths of evolution, benchmark variables, and dominant problems experienced by organisations at each stage. Following a review of 4 decades of SoG model research, as well as a review of existing social media research and practitioner insight across multiple domains, the authors adopt Gottschalk and Solli-Sæther’s (2010) five-step stage modelling process as a research methodology to develop a SoG model for managing a social media business profile (SMBP). The paper develops and validates Step 1 (suggested stage model) and Step 2 (conceptual stage model) of the stage modelling process. A number of key contributions to theory and practice are identified, and ongoing research to further refine the model is outlined.

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“…However, this approach is disputed as it is more beneficial to focus on activities rather than outputs, as they are less contextual, and because activities provide decision makers with better indicators of what to do at each stage [15]. Numerous other authors have proposed theoretical stages of IS growth models based on these models, for a variety of purposes including end user computing [16,17], information centres [18], technology based new ventures [19], IS planning [20] and IT portfolio management [21], and for the most part, empirical testing of the stages proposed in these models has been positive.…”

Section: Stages Of Growth (Sog) Modelsmentioning

confidence: 99%

A Stage Model of Social Media Adoption

Duane

O’Reilly

2016

JAMSIS

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There is very little understanding of how organisations manage social media. In particular, there is no established path of activities that guide a company down the path of social readiness, and the management and organisation of social media is under-researched. Consequently, many organisations experience significant problems with their social media business profiles (SMBP). Stage of growth (SoG) models represent a picture of evolution, where the current stage can be understood in terms of history and future, providing an opportunity to identify the stages, paths of evolution, benchmark variables, and dominant problems experienced by organisations at each stage. Following a review of four decades (1974-2014) of SoG model research, and a review of existing social media research and practitioner insight across multiple domains, the authors adopt Gottschalk and Solli-Saether's (2010) [1] five step Stage Modelling Process as a research methodology to develop a stage model of SMBP implementation and management. The paper analyses the findings from Step 1 (Suggested Stage Model) and Step 2 (Conceptual Stage Model) of the Stage Modelling Process, before concluding with the key findings. This research contributes to academia by enhancing the existing four decades of knowledge of SoG models, extending it to the management of social media in an organisational context. This research is also a critical piece of research from a practitioner perspective, as organisations struggle to devise tactics and strategies to manage social media adoption and use.

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Stages of growth in end-user computing: applications in the health sector of developing countries in Asia-Pacific

Cited by 7 publications

References 18 publications

The Modeling Process for Stage Models

The Modeling Process for Stage Models

A conceptual stages-of-growth model for managing a social media business profile

A Stage Model of Social Media Adoption

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