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BACKGROUND OF THE PROBLEM | LOTS OF GOOD WORK HERE

   

Added on  2022-08-24

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FEEDBACK:
1. LOTS OF GOOD WORK HERE. Lot more work to do to have an approved
Prospectus by the end of this class.
2. INTRODUCTION: This section needs a lot of work. The Introduction
introduces the topic in plain language and tells us what the study it about. See my
comments below.
3. BACKGROUND OF THE PROBLEM: Lots of work needed here. Way too
much detail on the frameworks. These belong in your theoretical foundations.
This section should focus on the problem: It is not know how the IT leaders
describe factors that influence the adoption of cloud computing of VA, and DC
and MD. The focus is on cloud computing adopters and factors that influence
their decisions. Go back to your approved 10 Points Background of the Problem
section from last class (Gap statement REC 12-1 RET 12-3) Start with the three
points there. Discuss the findings of each study in a sentence or two and end with
their call for further research (from that 10 Points document. See my comments
below.
4. THEORETICAL FOUNDATIONS: I think a lot of the basics are there but it
needs to be rearranged into a coherent argument. See my comments below.
5. LITERATURE THEMES: Look good. Nice work.
6. PROBLEM STATEMENT: Needs to be simplified to more clearly tie back to
the gap justified in the literature. You need to describe your population and your
unit of analysis in the section. See my comments below.
7. PURPOSE OF THE STUDY: Must include a discussion othe phenomena.
Should not include justification for the methodology. See my comments below.
8. RESEARCH QUESTIONS: Needs a lot of work. Changes previously
requested have not been addressed. R2 is still too broad – needs further revision.
This section must include discussion of the phenomena. See my comments below.
NEXT STEPS:
1. REVISE THIS DOCUMENT as noted above. Through that process edit for
punctuation, capitalization, grammar, word usage, and APA style. Can you have
this completed by JAN 22 (end of Week 2)?
2. THREE MORE 10 STRATEGIC POINTS SECTIONS: Sample and location,
Phenomena, Methodology and Design. Can you have those by Saturday, JAN
18? IF they’re in pretty good shape you might be able to include them in the JAN
22 Prospectus deliverable.
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Dissertation Prospectus
How IT leaders describe factors that Influence the Adoption of Cloud Computing in
Virginia, Washington, DC, and Maryland.
Submitted by
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Dissertation Prospectus
Introduction
Cloud Computing has experienced enormous focus my many scholars in recent years.
The term Cloud Computing has been utilized as Internet based technologies for
conducting business and recognized as an important part of the IT innovation field. Cloud
computing has been providing various free services to business operations (Bhatiasevi &
Naglis, 2016). The emergence of the cloud computing has been creating a competitive
environment among different business organizations. Cloud technology has been offering
huge storage for business organizations, unlimited computing power and mobility of
business information over the Internet. There have been various issues including storage
issues and data protection have been faced by business organization in the market. Thus
have been causing a serious issue in the performance of the business organization in the
market (Raut et al., 2017). Therefore, this research has been focused on mitigation of
these issues with the help of Cloud computing. Various factors that have been affecting
the adoption of cloud computing in the business organization.
Hassan et al. (2017) conducted research to look at the components that impact cloud
computing selection by SMEs. The research-based on a quantitative survey-based.
The future works can be focused on the “to gain an in-depth understanding of the
factors that influence cloud computing adoption. Interviews can offer more detailed and
richer explanations for the underlying factors that influence cloud computing adoption”.
p. 38 (Hassan et al., 2017). Further Senarathna et al. (2018) identified the need for future
research to fill up the gap by including the factors that influence the adoption of cloud
computing Based on the works of literature reviews and existing studies, this study is the
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first attempt that advances the knowledge on the factors that influence cloud computing
adoption in organizations, especially in the context of IT leaders of Virginia (VA),
Maryland (MD), and Washington DC and the proposed model which is Technology-
Organization-Environment (TOE) and Diffusion of innovations (DOI) in this study helps
organizations to understand what capabilities they need to develop to be able to adopt
cloud computing.
Criteria Learner
Self-
Evaluation
Score
(0-3)
Chair
Evaluation
Score
(0-3)
Reviewer
Score
(0-3)
Introduction
This section briefly overviews the research focus or problem, why this study is worth conducting, and how
this study will be completed.
The recommended length for this section is two to three paragraphs.
1. Dissertation topic is introduced along with why the
study is needed.
1.5 0
2. Provides a summary of results from the prior
empirical research on the topic.
1.5 1
3. Using results, societal needs, recommendations for
further study, or needs identified in three to five
research studies (primarily from the last three years),
the learner identifies the stated need, called a gap.
2 0
4. Section is written in a way that is well structured, has a
logical flow, uses correct paragraph structure, uses
correct sentence structure, uses correct punctuation, and
uses correct APA format.
1.5 1
NOTE: This Introduction section elaborates on the Topic from the 10 Strategic Points. This Introduction
section provides the foundation for the Introduction section in Chapter 1 of the Proposal.
Reviewer Comments:
Background of the Problem
Cloud computing is quickly becoming a standard means of operation across
various industries and nations. The term “cloud” was coined in 1961 by MIT Professor
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John McCarthy and referred to a method of data transport that starts with a network hub,
or cloud, where data is stored (Arpaci, 2017). From that hub, data travels to an endless
number of endpoint locations. The advantages of cloud computing include immediate
access to resources stored on the network hub, the ability to share resources across an
organization or between organizations, access to large storage capacity, and portability of
resources (Oliveira, Thomas, & Espadanal, 2014; Wang, Ammar, & Chuang, 2011;
Dikaiakos, Pallis, Katsaros, Mehra, & Vakali, 2009; Grossman, 2009). Cloud computing
also has proven to increase the speed and effectiveness of computer run jobs and reduces
the risk and cost of application deployment (Amin et al., 2015; Loukis et al., 2017;
Hassan et al., 2017; Al-Sharafi, Abdullah Arshah, & Abu-Shanab, 2017).
Multiple studies have found Ddespite all of these advantages, many organizations
are reluctant to adopt cloud computing. Issues such as security, data protection, and
privacy concerns are leading reasons leaders of organizations, state they have not adopted
cloud computing (Sharma et al., 2016). Other barriers include unreliable servers, issues
with the transaction and data integrity, and problems with access (Stieninger et al.,2014;
Alkawsi, Mahmood, & Baashar, 2015; Dawson, 2015; Priyadarshinee et al., 2017).
Cloud Computing has been providing several layers of computing architecture
including infrastructure as a service (IaaS), platform as a service (PaaS) and SaaS. These
models have been based on the services provided by the cloud computing (Sabi et al.,
2018). Previous studies have been focused on several factors of adoption of cloud
computing in the organizations.
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The gap. There are studies on the factors that influence cloud computing adoption
in organizations; however, studies explicitly focused on Virginia (VA), Maryland (MD),
and Washington, DC (DC) are lacking.
Criteria Learner Self-
Evaluation
Score
(0-3)
Chair or
Score
(0-3)
Reviewer
Score
(0-3)
Background of the Problem
This section uses the literature to provide the reader with a definition and statement of the research gap
and problem the study will address. This section further presents a brief historical perspective of when
the problem started and how it has evolved over time.
The recommended length for this section is two-three paragraphs.
1. Includes a brief discussion demonstrating
how literature has established the gap and a
clear statement informing the reader of the
gap.
1.5 1
2. Discusses how the “need” or “defined gap”
has evolved historically into the current
problem or opportunity to be addressed by
the proposed study (citing seminal and/or
current research).
1.5 1
3. ALIGNMENT: The problem statement for
the dissertation will be developed from and
justified by the “need” or “defined gap” that
is described in this section and supported by
the empirical research literature published
within the past 3-5 years.
2 1
4. Section is written in a way that is well
structured, has a logical flow, uses correct
paragraph structure, uses correct sentence
structure, uses correct punctuation, and uses
correct APA format.
1.5 1
NOTE: This Background of the Problem section uses information from the Literature Review in the 10
Strategic Points. This Background of the Problem section becomes the Background of the Study in
Note, this section develops the foundation for Chapter 1 in the Proposal. It is then expanded to develop
the comprehensive Background to the Problem section and Identification of the GAP sections in
Chapter 2 (Literature Review) in the Proposal.
Reviewer Comments:
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Theoretical Foundations/Conceptual Framework and Review of the
Literature/Themes
Theoretical foundations/conceptual framework. As stated previously, four
main theories are used when studying factors that affect the adoption of cloud computing.
This researcher has chosen to use a combination of TOE and DOI as it will provide the
most considerable depth of information needed to understand the barriers to cloud
computing adoption (El-Gazzar, Hustad & Olsen, 2016). Many IT adoption researchers
used the TOE framework (Depietro et al., 1990; Tornatzky et al., 1990). However,
according to Oliveira and Martin (2011), most empirical studies in technology acceptance
are derived from the combination of the TOE and DOI frameworks. Oliviera and
Martin(2011) further revealed that the TOE framework has more consistent empirical
support, solid theoretical foundation, and applicability in the adoption of technological
innovations. An examination by Alkhalil et al. (2017) incorporated the DOI-TOE system
to distinguish the determinants that identify with the choice to move to the cloud. The
system incorporated the reconciliation of both the DOI and TOE qualities: development,
innovation, association, individual, and condition. The consequence of the examination
likewise illustrated that consolidating multiple theories helps to enhance the
understanding of the adoption of innovative technology (Alkhalil et al., 2017). The
proposed model for this study, TOE, helps organizations to understand what capabilities
they need to develop to be able to adopt cloud computing. This model will also
incorporate DOI as it complements the TOE framework and has proven to provide a more
comprehensive examination of the problem. The DOI and TOE models complement each
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other, as TOE provided consistent, empirical data, and DOI examines more subjective
topics such as innovation (Alkhalil et al., 2017).
It is additionally imperative to perceive that DOI and TOE share a few
likenesses. For instance, the thought of innovation and hierarchical settings are nearly the
equivalent. Conversely, DOI incorporate administration support and imaginative
elements, however, TOE does not think about individual and a portion of the inventive
attributes (Alkhalil et al., 2017) Consequently, consolidating both TOE and DOI would
give complementation for one another and would improve a superior comprehension of
the appropriation of innovation.
Review of the literature/themes.
Theme 1. History and definition of cloud computing. This section will review
how cloud computing started and its increasing influence in organizations in America.
(Wang, Ammar, & Chuang, 2011; Dikaiakos, Pallis, Katsaros, Mehra, & Vakali, 2009;
Grossman, 2009).
Theme 2 Cloud adoption theories. This section will explore the different cloud
adoption theories, examining the effectiveness and drawbacks of each theory. Lai, 2017;
In Salah Hashim et al., 2015; Alkhalil et al., 2017).
Theme 3 Clusters of influencing factors. This section will explore a variety of
factors under the headings of technological, organizational, and environmental that affect
the adoption of cloud computing. Al-Sharafi, Abdullah Arshah, & Abu-Shanab, 2017;
Friedrich-Baasner, Fischer and Winkelmann, 2018)
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