Adoption of Cloud Computing in the SMEs: An exploration of the issues and challenges for adoption of Cloud Computing by SMEs in Bangladesh in the context of “Digital Bangladesh”

Mazumdar, Anupam (2018) Adoption of Cloud Computing in the SMEs: An exploration of the issues and challenges for adoption of Cloud Computing by SMEs in Bangladesh in the context of “Digital Bangladesh”. Doctoral thesis, University of Wales Trinity Saint David.

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Abstract

Cloud Computing is one of the most recent sophisticated technologies which can play a pivotal role in small and medium sized enterprises primarily because it may offer ICT resources to small businesses without large up-front costs nor expensive investment in specialist staff. This technology, however, is not presently used extensively in SMEs in Bangladesh owing to numerous causes and issues, which provide barriers to its adoption. The importance of SMEs in Bangladeshi economic and social development is crucial. The aim of this research is: • to investigate and to identify issues that explain the challenges of adoption of Cloud Computing by SMEs in Bangladesh; • to place these issues in an academic context by developing and proposing a conceptual framework for understanding drivers and barriers to Cloud Computing adoption and • to explore directions for Bangladeshi SMEs to adopt Cloud Computing within the framework of Bangladesh’s government policies for “Digital Bangladesh”. The “Digital Bangladesh” policy is a set of proposals for making the country digital by bringing the nation’s economy under the umbrella of ICT-related technologies. This policy does not simply mean the comprehensive use of computers in businesses but a modernisation of thinking about the use of advanced digital technologies in an effective way in business, education, and job creation by connecting citizens, businesses, government and ICT specialists. Targets for Digital Bangladesh is to achieve an increase in the country’s annual Gross Domestic Product (GDP) of 10% by 2021 and to double the GDP contribution of SME sectors from 23% to 40%. Development of ICT use in Bangladeshi SMEs – in a variety of business sectors is, thus, fairly central to the Digital Bangladesh policy. This research has used primarily qualitative research methods, whereby data has been collected by conducting interviews with a sample of purposefully selected people from various SME sectors in different metropolitan centres in Bangladesh. In order to investigate and understand the nature of the issues confronting SMEs, this study sought to identify some potential solutions that may lead to Cloud Computing adoption within Bangladeshi SMEs within the Digital Bangladesh policy. Nine different types of SMEs were chosen to participate in this exploration. By using thematic analysis, the collected data are analysed and matched against the proposed framework for identifying drivers and barriers to Cloud Computing adoption. The observed issues were categorized into ‘internal’, ‘external’ and ‘technological’ contexts. This research contributes to the body of knowledge concerning Cloud Computing and its potential use in business contexts by providing a wide-ranging review of the literature that is directed upon identifying issues that challenging the Cloud Computing adoption. This research further developed two other frameworks addressing the drivers (incentives) and barriers to adoption of Cloud Computing especially in smaller businesses. In addition, an integrated but novel conceptual framework was developed to enable Bangladeshi SMEs and Bangladeshi ICT specialists to understand better the issues that may explain the challenges, thus far, of Cloud Computing adoption by SMEs. A realistic roadmap was developed to assist Bangladeshi SMEs to adopt Cloud Computing solutions in order to minimise the current gaps between theory and practice.

Item Type: Thesis (Doctoral)
Uncontrolled Keywords: cloud Computing, Small and Medium Enterprises in Bangladesh, Digital Bangladesh.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Theses and Dissertations > Doctoral Theses
Depositing User: Sandra Stedman
Date Deposited: 06 Feb 2020 11:58
Last Modified: 06 Feb 2020 11:59
URI: http://repository.uwtsd.ac.uk/id/eprint/1199

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