Performance and Key Factors of Cloud Computing Implementation in the Public Sector

Sallehudin, Hasimi; Aman, Azana Hafizah Mohd; Razak, Razli Che; Ismail, Mahamod; Bakar, Nur Azaliah Abu; Fadzil, Ahmad Firdause Md; Baker, Rogis

doi:10.33736/ijbs.3231.2020

Cited by 14 publications

(15 citation statements)

References 35 publications

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“…As Information Technology innovation is advancing (Sallehudin et al, 2020), cloud computing in governments is helping improve productivity (Ali et al, 2018b) while enhancing efficiency, transparency, and public service delivery (Mohammed et al, 2016;Nanos et al, 2019). Furthermore, since the evolution of cloud computing in the 2000s (Bayramusta & Nasir, 2016;Senyo et al, 2018), there have been developments in the automation of existing procedures, making infrastructure, software, and platforms easily available on-demand for pay (Sharma et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Adoption of Cloud Computing in E-Government: A Systematic Literature Review

Abied¹,

Ibrahim²,

Kamal³

2022

JST

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Cloud computing in governments has become an attraction to help enhance service delivery. Improving service delivery, productivity, transparency, and reducing costs necessitates governments to use cloud services. Since the publication of a review paper on cloud adoption elements in e-governments in 2015, cloud computing in governments has evolved into discussions of cloud service adoption factors. This paper concentrates on the adoption of cloud computing in governments, the benefits, models, and methodologies utilized, and the analysis techniques. Studies from 2010 up to 2020 have been investigated for this paper. This study has critically peer-reviewed articles that concentrate on cloud computing for electronic governments (e-Governments). It exhibits a systematic evaluation of the empirical studies focusing on cloud adoption studies in e-governments. This review work further categorizes the articles and exhibits novel research opportunities from the themes and unexhausted areas of these articles. From the reviewed articles, it has been observed that most of the articles have employed the quantitative approach, with few utilizing qualitative and mixed-method approaches. The results reveal that cloud computing adoption could help solve problems in learning, such as infrastructure issues, cost issues, and improve service delivery and transparency. This review gives more information on the future directions and areas that need attention, like the trust of cloud computing in e-governments.

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Section: Introductionmentioning

confidence: 99%

Adoption of Cloud Computing in E-Government: A Systematic Literature Review

Abied¹,

Ibrahim²,

Kamal³

2022

JST

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“…21 (65.6%) of the studies targeted general employees, followed by IS/IT professionals (6) [7,31,33,49,53,57], decision makers (4) [32,47,48,52], and managers (1) [36]. Interestingly, six studies targeted studies university faculty/staff [9,22,54,61] and academic libraries [8,9], four studies small and medium enterprises [13,48,52,55,62], and three studies public sectors [7,53,60].…”

Section: Technology Acceptance Perspectivementioning

confidence: 99%

The influence of dependability in cloud computing adoption

song

Young-Woo

2022

J Supercomput

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Cloud computing (CC) has many benefits, so its use has spread rapidly, particularly in the business sector. An important consideration in the acceptance of CC is whether the CC system is dependable, and it can differ among industry and service type. However, little research has considered the effect of dependability (composed of availability, reliability, security, maintainability) on CC acceptance. Especially, group comparisons between high IT-intensive (Hi-ITi) and low IT-intensive (Lo-ITi) industries have not been reported, nor have comparisons between software-as-a-service (SaaS) and platform-as-a-service (PaaS)/infrastructure-as-a-service (IaaS). This study aims to explore how the dependability of CC affects users’ intent to accept it, with focus on how this intent is affected by intensity of IT use (by industry) and by the type of CC service used. To validate the proposed model, this study applied structural equation modeling and conducted multi-group analysis. A total of 230 business managers in South Korea represent the sample for our study. For the full dataset, the three dependability attributes (availability, reliability, security) do not affect the usefulness of CC, but do affect the ease of use of CC. The usefulness of CC is a determinant for positive intention to accept CC, whereas the ease of use of CC is not. Maintainability is the strongest determinant of CC adoption for the full dataset, and for all individual groups, except those that use SaaS. For Hi-ITi and Lo-ITi industries, results show that managers show no differences in their perceptions of the effect of dependability attributes (availability, reliability, security) on the usefulness and the ease of CC. The absence of such a difference in managers’ perception also applies to the relationship between two core variables of TAM (i.e., perceived usefulness, perceived ease of use) and behavioral intention to accept CC. For SaaS and PaaS/IaaS, managers have different perceptions of security on the usefulness of CC, and the effect of the usefulness of CC on the intention to accept CC. The findings can provide academic researchers and industry practitioners with a differentiated and in-depth perspective on the understanding and the spread of CC.

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“…Today, cloud computing is used by many organizations to increase profitability and sustainability (Taghipour et al , 2020). During the technological revolution, the organization's computing power is considered the key to generating a competitive advantage (Ahmed, 2020; Sallehudin et al , 2020). These new platforms have this unique feature that enables organizations to start operating with more speed and limited facilities and go through economic and commercial development (Chandrakumar and Parthasarathy, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Do cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era?

Yao¹,

Azma

2021

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PurposeThis study aims to investigate the impact of skills and knowledge of employees, economic situations of the company, current IT infrastructure, payment fashion, cloud availability, and cloud privacy and security on the productivity of the human resources in the COVID-19 era.Design/methodology/approachOver the past few years, the advent of cloud-assisted technologies has dramatically advanced the Information Technology (IT)-based industries by providing everything as a service. Cloud computing is recognized as a growing technology among companies around the world. One of the most critical cloud applications is deploying systems and organizational resources, especially systems whose deployment costs are high. Manpower is one of the basic and vital resources of the organization, and organizations need an efficient workforce to achieve their goals. But, in the COVID-19 era, human resources' productivity can be reduced due to stress, high labor force, reduced organizational performance and profits, unfavorable organizational conditions, inability to manage and lack of training. Therefore, this study tries to investigate the productivity of human resources in the COVID-19 era. Data were collected from the medium-sized companies through a questionnaire. Distributed questionnaires were conducted on the Likert scale. The model is assessed using the structural equation modeling technique to examine its reliability and validity. The study is a library method and literature review. A case study was conducted through a questionnaire and statistical analysis by SPSS 25 and SMART-PLS.FindingsBased on the findings, the skills and knowledge of employees, the economic situations of the company, payment fashion, cloud availability and the current IT infrastructures of the company have a positive impact on human resource efficiency in the COVID-19 era. But cloud privacy and security have a negative effect on the productivity of human resources. The findings can be the basis for companies and organizations in the COVID-19 era.Research limitations/implicationsThis study has some restrictions that need to be considered in evaluating the obtained results. First, due to the prevalence of Coronavirus, access to information from the companies under study was limited. Second, this research may have overlooked other variables that affect human resource productivity in the COVID-19 era. Prospective researchers can examine the impact of Customer Relationship Management (CRM) and Supply Chain Management (SCM) on the human resource's productivity in the COVID-19 era.Practical implicationsThe results of this research are applicable for all companies, their departments and human resources in the COVID-19 era.Originality/valueIn this paper, human resources' productivity in the COVID-19 era is pointed out. The presented new model provides a complete framework for investigating cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era.

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Performance and Key Factors of Cloud Computing Implementation in the Public Sector

Cited by 14 publications

References 35 publications

Adoption of Cloud Computing in E-Government: A Systematic Literature Review

Adoption of Cloud Computing in E-Government: A Systematic Literature Review

The influence of dependability in cloud computing adoption

Do cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era?

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