The Electronic Journal of Information Systems Evaluation provides critical perspectives on topics relevant to Information Systems Evaluation, with an emphasis on the organisational and management implications
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Journal Article

Considerations for the Adoption of Cloud‑based Big Data Analytics in Small Business Enterprises  pp63-79

Ajimoko Olufemi

© Nov 2018 Volume 21 Issue 2, Editor: Prof Shaun Pather, pp63 - 157

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Abstract

This study explores the various adoption criteria that may guide the information technology (IT) professionals in small business enterprises (SBEs) in their decision to adopt cloud‑based big data analytics (CBBDA). The research was guided by three major theories of technology adoption, which were: diffusion of innovation, theory of technology acceptance model, and the theory of technology‑organization‑environment framework. The study was based on a sample of 20 IT professionals from10 SBEs in the state of New Jersey in the United States. The exploratory qualitative research used semi‑structure questionnaires to conduct one‑on‑one interviews with the participants. The results were coded to identify the emergent themes. The study found two categories of CBBDA adoption criteria; they were: (a) internal technology adoption criteria, which were found to be unique to each SBE and (b) external technology adoption criteria, which were found to be uniform to all the SBEs. The internal criteria consisted of technological and organizational factors, while the external criteria consisted of vendor‑related and environmental factors. Further, the study found that some of the prominent internal factors played a dominant role in CBBDA adoption in SBEs. They were: (a) technology/organization alignment and fit; (b) SBE data environment and need; (c) SBE financial standing and (d) SBE owner/top management support. It was also found that no matter how useful the innovation, the lack of SBE owner/top management support can easily obstruct the adoption of CBBDA and other similar future technology.

 

Keywords: big data analytics, cloud computing, cloud-based big data analytics, small business enterprise

 

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Journal Article

Understanding IT Management in SMEs  pp27-34

Paul Cragg, Annette Mills, Theek Suraweera

© Jan 2010 Volume 13 Issue 1, ECIME 2009, Editor: Elizabeth Frisk and Kerstin Grunden, pp1 - 96

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Abstract

There is evidence in the IT literature indicating that IT management is one factor that influences IT success. In addition, there is much literature indicating that IT management is important in the SME context. However, much of this literature has focused on the important role of the owner and/or other senior managers. For example, Thong et al (1996) focused on top management support and its influence on IT success. This paper argues that top management support is only one aspect of IT management and other aspects of IT management have received little attention in studies of SMEs. The study commenced with a review of the literature which identified many different definitions of IT management. However, the broader management literature indicated that the classical functions of planning, organising, controlling and leading provide an excellent way of conceptualising the many activities involved in managing (Carroll and Gillen, 1987). The management literature also provided working definitions for the four management functions. A multiple‑case study approach was then used to collect evidence from four SMEs (with between four and 50 employees). The data identified IT management practices associated with each of the four IT functions, ie, IT planning, IT organising, IT controlling and IT leading. For example, one firm had an IT committee made up of staff from different levels of the firm. Some on the committee would be assigned specific IT responsibilities, eg, training of other staff. This practice provided an example of IT organising, ie, of defining tasks and assigning personnel. Similarly, many other IT management practices were both identified and classified. The results provide a significant foundation for researchers of IT management in SMEs. For example, the conceptualisation indicates four IT management functions. Also, the definitions clarify important aspects of IT management. The study also indicated that some aspects of IT management have received little attention in prior studies. For example, while IT planning has received considerable attention, IT leading in SMEs has only been examined in the narrower context of top management support. Furthermore, few studies have examined the role and importance of IT organising and IT controlling in the SME context. Thus the study also indicates directions for future research, including the identification of IT management best practices.

 

Keywords: small business, IT management, IT management practices, accounting firms

 

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Journal Issue

Volume 13 Issue 1, ECIME 2009 / Jan 2010  pp1‑96

Editor: Elizabeth Frisk, Kerstin Grunden

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Editorial

This issue represents papers presented at the 3rd European Conference on Information Management and Evaluation. The conference was held in September 2009 at the University of Gothenburg in Sweden.

 

Keywords: accounting firms, adoption, adoption barriers, business case, case study, cluster analysis (CA), collaborative technology (CT) business education, competitive advantage, complexity, computer-supported collaborative learning (CSCL), developing countries, developing countries, diffusion of innovation, e-Business adoption, e-government, e-Government portal, enterprise, ERP, European Union (EU) members, EUS, evaluation, executive information system, health informatics, HealthCare information systems, ICT, information and communication technology (ICT), information technology, integration, IT management practices, Jordan., mixed research, performance strategic value, post-implementation evaluation, RFID, satisfaction, small business, supply chain management, sustainability, TAM, technology-organizational-environment (TOE) framework, video conferencing, video-ethnography

 

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Journal Issue

Volume 21 Issue 2 / Nov 2018  pp63‑157

Editor: Prof Shaun Pather

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Keywords: Acceptance of Open Learning Resources, Self-efficacy, MOOCs and OERs in India, Technology acceptance, Informal online-learning, Open educational content and higher education, big data analytics, cloud computing, cloud-based big data analytics, small business enterprise

 

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