Adoption of Software as a Service (SaaS) Enterprise Resource Planning (ERP) Systems in Small and Medium Sized Enterprises (SMEs)

Seethamraju, Ravi

doi:10.1007/s10796-014-9506-5

Cited by 183 publications

(131 citation statements)

References 46 publications

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“…Within this wide area of scholarship, there have been a number of streams of research. One of these addresses the individual acceptance of technology, using intention or usage as a dependent variable (e.g., Ajzen 1991; Davis et al 1989;Dwivedi et al 2015a, b;Seethamraju 2015), whereas other streams have focused on the success of the systems, using IS success models (e.g., Barclay 2008;McLean 1992, 2003;Rana et al 2015a;Seddon 1997;Swar et al 2012), and on IS implementation success at the organisational level (Leonard-Barton and Deschamps 1988). While each of these streams makes significant contributions to the literature on user acceptance of IT, the theoretical models to be included in the current review, comparison and synthesis implement intention to use a technology as the key dependent variable (Venkatesh et al 2003).…”

Section: Methodsmentioning

confidence: 99%

Citizens’ adoption of an electronic government system: towards a unified view

et al. 2015

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Sluggish adoption of emerging electronic government (eGov) applications continues to be a problem across developed and developing countries. This research tested the nine alternative theoretical models of technology adoption in the context of an eGov system using data collected from citizens of four selected districts in the state of Bihar in India. Analysis of the models indicates that their performance is not up to the expected level in terms of path coefficients, variance in behavioural intention, or the fit indices of the models. In response to the underperformance of the alternative theoretical models to explain the adoption of an eGov system, this research develops a unified model of electronic government adoption and tests it using the same data. The results indicate that the proposed research model outperforms all alternative models of technology adoption by explaining 77 % of variance in behavioural intention, with acceptable values of fit indices and significant relationships between each pair of hypothesised factors.

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Section: Methodsmentioning

confidence: 99%

Citizens’ adoption of an electronic government system: towards a unified view

et al. 2015

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“…Prior literature has identified determinants of organizational innovation adoption which can be categorized into four contexts: technological, organizational, managerial action and institutional (Hameed et al, 2012, Tsai et al, 2013. For example, technological factors are associated with relative advantage, complexity, compatibility, IT capability and technology competence (Low et al, 2011;Seethamraju, 2015;Zhu and Kraemer, 2005). Organizational factors refer to organizational size, organizational readiness, and employees' attitude towards technology and ownership type (Jackson et al, 2013;Sila, 2010, Tsai et al, 2013.…”

Section: Eco-goals Types Of Green Itmentioning

confidence: 99%

A Technology-Organization-Environment Perspective on Eco-effectiveness: A Meta-analysis

Chong

Olesen

2017

AJIS

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In this research, we perform a meta-analysis to explain how organizations are deploying technologies to enforce organizational sustainability by meeting the goal of eco-effectiveness. Prior studies have studied the influences on the adoption of technologies using the TechnologyOrganisation-Environment (TOE) model that incorporate some aspects of technological, organizational or environmental factors. We collected prior research to test the factors of the TOE model to ascertain their relative impact and strength. Our meta-analysis found eight additional technological and organizational factors. We found strong support for IT infrastructure, perceived direct benefits, top management support, and competitive pressure. Moderate support for compatibility, technological readiness, perceived indirect benefits, knowledge (human resources), organizational size, attitudes towards innovation, learning culture, pressure from trade partners (industry characteristics) and regulatory support. Lastly, weak support was found for relative advantage, complexity, perceived risks and information learning culture. Only two dimensions, financial resources and environmental uncertainty failed to reach statistical significance.

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“…Hustad & Olsen, 2011;T. H. Nguyen, Newby, & Macaulay, 2015; T. Nguyen, Newby, & Waring, 2012;R. Seethamraju, 2015;Shahawai & Idrus, 2011;Winkelmann & Klose, 2008); the complexity of the these systems (Equey & Fragnière, 2008); its fit and customization in the enterprise (Deltour, 2012;Equey & Fragnière, 2008;Ghobakhloo, Hong, Sabouri, & Zulkifli, 2012;E.…”

Section: Problemmentioning

confidence: 99%

“…The main causes of the environment are: changing government regulations (Alshawi et al, 2011;Li, Yu, Zhao, & Li, 2012;Salim, 2013;R. Seethamraju, 2015); the constants market pressures (Alshawi et al, 2011;Serrano et al, 2010;Shahawai & Idrus, 2010;Shaul & Tauber, 2012), the difficulty of accessing software packages and consultants that fit the organization (Sahran et al, 2010;Sia, 2008).…”

Section: Problemmentioning

confidence: 99%

Research in Progress: Understanding the Process of Implantation It Enterprise Applications in Small and Medium Enterprises (Smes)

Reascos

Carvalho

2017

Atas Da 17ª Conferência Da Associação Portuguesa De Sistemas De Informação

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This research deals with the implantation of IT enterprise applications in Small and Medium Enterprises (SMEs). It comprises two main phases. The first phase aims at deepening the existing understanding of the process of adoption and implantation of IT Enterprise applications in SMEs. Besides a literature review this phase includes the realization of case studies and interviews of the different players in the adoption and implantation process. The second phase aims at producing models and methods to guide SME in implantation of IT enterprise applications. This phase follows is being carried out under the Design Science Research (DSR) paradigm.This document presents the advances and results obtained in understanding the problem and determines the work to be done soon. The main findings to date are: Government regulations are the main motivations for implanting IT enterprise applications in SMEs, the cost is not the main selection parameter for SMEs with previous experience in applications, it is necessary a person inside the company that knows the core of the business, to save costs it is not necessary to migrate all the data of previous solutions

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Adoption of Software as a Service (SaaS) Enterprise Resource Planning (ERP) Systems in Small and Medium Sized Enterprises (SMEs)

Cited by 183 publications

References 46 publications

Citizens’ adoption of an electronic government system: towards a unified view

Citizens’ adoption of an electronic government system: towards a unified view

A Technology-Organization-Environment Perspective on Eco-effectiveness: A Meta-analysis

Research in Progress: Understanding the Process of Implantation It Enterprise Applications in Small and Medium Enterprises (Smes)

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