scholarly journals A Decision-Making Model for Adopting a Cloud Computing System

2018 ◽  
Vol 10 (8) ◽  
pp. 2952 ◽  
Author(s):  
Seok-Keun Yoo ◽  
Bo-Young Kim
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Computing System ◽  
Top Management ◽  
Management Support ◽  
Competitive Pressure ◽  
Top Management Support ◽  
Cloud Computing Adoption ◽  
Cloud Computing System ◽  
Decision Making Model

The use of big data, artificial intelligence, and new information and communication technologies has led to sustainable developments and improved business competitiveness. Until recently cloud services were classified as having special system requirements for a business organization, and was represented by different cloud computing architecture layers like infrastructure, platform, or software as a service. However, as the environment of IT services undergoes successive changes, companies have been required to reconsider their business models and consider adopting a cloud computing system, which can bring on business achievements and development. Regarding a decision-making model for adopting a cloud computing system, this paper analyzes critical variables in a hierarchical structure of decision areas: technology, organization, and environment, as well as seven factors and 23 attributes based on underlying decision factors of cloud computing adoption by AHP (Analytic Hierarchy Process) and Delphi analysis. Furthermore, this research explores a comparative analysis between demanders and providers of cloud computing adoption. Resultantly, this study suggests several important factors for adopting a cloud computing system: top management support, competitive pressure, and compatibility. From the demander side, the high priority factor was compatibility and competitive pressure; in contrast, related advantage and top management support were regarded as priority factors for providers to service their cloud computing systems.

An Investigation on Cloud Computing Adoption Within Information Technology Companies

2021 ◽  
pp. 266-287
Author(s):  
Alireza Mohammadi ◽  
Armin Saeedikondori ◽  
Hossein Nezakati ◽  
Naghmeh Sabermajidi ◽  
Amer Hamzah Jantan
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Relative Advantage ◽  
Top Management ◽  
Management Support ◽  
Competitive Pressure ◽  
Top Management Support ◽  
Cloud Computing Adoption ◽  
Wide Range ◽  
Technology Services

Cloud computing is one of the most popular technology services, and its usage has increased significantly in recent years. This study aims to understand the factors that influence cloud computing adoption by Malaysian information technology (IT) companies. An in-depth review in the previous literature demonstrated a relationship between relative advantage, complexity, compatibility, top management support, firm size, technology readiness, competitive pressure, and trading partner pressure with cloud computing adoption in Malaysia. The study's findings displayed that relative advantage, compatibility, top management support, and competitive pressure significantly affect cloud computing adoption. The study contributes to applying new technological features of cloud computing adoption in the industry through a wide range of variables. The results also help companies foresee their IT investment when implementing cloud computing. The relative advantage is identified to have the highest impact on cloud computing adoption.

UNDERSTANDING DETERMINANTS OF CLOUD COMPUTING ADOPTION USING AN INTEGRATED DIFFUSION OF INNOVATION (DOI)-TECHNOLOGICAL, ORGANIZATIONAL AND ENVIRONMENTAL (TOE) MODEL

2020 ◽  
Vol 8 (1) ◽  
pp. 91-102 ◽  
Author(s):  
Can Sayginer ◽  
Tuncay Ercan
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Security And Privacy ◽  
Relative Advantage ◽  
Top Management ◽  
Management Support ◽  
Cloud Computing Adoption ◽  
Depth Analysis ◽  
Cloud Providers ◽  
Adoption Decisions

Purpose of the study: This study aims to investigate the internal and external factors for CC adoption decisions of companies in Izmir, Turkey using a combination of DOI and TOE models. Methodology: This is a confirmatory survey of businesses, forming a questionnaire for 176 IT decision-makers of non-cloud or cloud user businesses in the city of Izmir in Turkey. SmartPLS 3.0 software is used to assess the determinants affecting cloud computing adoption. Main Findings: The study identified relative advantage, compatibility, complexity, and top management support, using security and privacy concerns and cost savings as mediating variables of relative advantage for CC adoption. The survey results indicated that complexity and top management supports are significantly important for efficient CC adoption. The model explained 41.2 percent of CC adoption. Applications of this study: The study is believed to be useful in fields including business development for most sectors, computing, cloud providers as well as researchers on business administration, sales, marketing, and IT infrastructure. Particularly this study and the suggested framework will help companies and businesses adopt CC appropriately. Moreover, as suggested in the study, governments can use such frameworks when encouraging cloud providers to support companies in their decision making and transition periods for CC adoption. Novelty/Originality of this study: This study will undoubtedly contribute to the decision making processes of the companies for CC adoption. Through the integrated in-depth analysis of the factors that affect the adoption decisions in an industrial region of Turkey, the study will also provide valuable data for the researchers and businesses within similar company personas.

scholarly journals FACTORS INFLUENCING CLOUD COMPUTING ADOPTION IN SMALL MEDIUM ENTERPRISES

2017 ◽  
Author(s):  
Haslinda Hassan ◽  
Mohd Herry Mohd Nasir ◽  
Norhaiza Khairudin ◽  
Iskandar Adon
Keyword(s):  
Cloud Computing ◽  
External Pressure ◽  
Free Form ◽  
Top Management ◽  
Management Support ◽  
Perceived Benefits ◽  
Top Management Support ◽  
Cloud Computing Adoption ◽  
It Resources ◽  
Medium Enterprises

Cloud computing offers information technology (IT) infrastructure, platform, and various applications via the Internet with minimum start-up cost, network access to a shared pool of configurable computing resources, and pay-per-use services. Although the potential for cloud computing is evident and much of the extant research has been carried out on cloud computing adoption, empirical studies on the factors that influence cloud computing adoption in the Malaysian Small and Medium Enterprises (SMEs) are, however, lacking. The objective of this study was to examine the factors that influence cloud computing adoption by the SMEs. We conducted a quantitative survey-based study to examine the relationship between perceived benefits, top management support, IT resources, external pressure, and cloud computing adoption. A free-form comment provided at the end of each section of the survey questionnaire was treated as qualitative data. We find that IT resources and external pressure significantly influence cloud computing adoption. Nonetheless, there is not enough evidence to support perceived benefits and top management support as significant factors of cloud computing adoption.  

scholarly journals Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry

Life ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 310
Author(s):  
Shih-Chia Chang ◽  
Ming-Tsang Lu ◽  
Tzu-Hui Pan ◽  
Chiao-Shan Chen
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Multiple Criteria Decision Making ◽  
Cloud Service ◽  
Computing System ◽  
Healthcare Industry ◽  
Computing Systems ◽  
Factors Affecting ◽  
Cloud Computing System ◽  
Health Cloud

Although the electronic health (e-health) cloud computing system is a promising innovation, its adoption in the healthcare industry has been slow. This study investigated the adoption of e-health cloud computing systems in the healthcare industry and considered security functions, management, cloud service delivery, and cloud software for e-health cloud computing systems. Although numerous studies have determined factors affecting e-health cloud computing systems, few comprehensive reviews of factors and their relations have been conducted. Therefore, this study investigated the relations between the factors affecting e-health cloud computing systems by using a multiple criteria decision-making technique, in which decision-making trial and evaluation laboratory (DEMATEL), DANP (DEMATEL-based Analytic Network Process), and modified VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) approaches were combined. The intended level of adoption of an e-health cloud computing system could be determined by using the proposed approach. The results of a case study performed on the Taiwanese healthcare industry indicated that the cloud management function must be primarily enhanced and that cost effectiveness is the most significant factor in the adoption of e-health cloud computing. This result is valuable for allocating resources to decrease performance gaps in the Taiwanese healthcare industry.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI ADOPSI CLOUD COMPUTING DI RUMAH SAKIT MUHAMMADIYAH

2015 ◽  
Vol 6 (2) ◽  
pp. 197
Author(s):  
Mohammad Bhanu Setyawan
Keyword(s):  
Cloud Computing ◽  
Behavioral Intention ◽  
Goodness Of Fit ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Top Management ◽  
Management Support ◽  
Perceived Ease Of Use ◽  
Top Management Support ◽  
Behavioral Intention To Use

ABSTRAK Artikel ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi adopsi cloud computing di rumah sakit Muhammadiyah di Indonesia dengan menggunakan Technology Acceptance Model (TAM). Sampel yang digunakan dalam penelitian ini adalah 51 sampel. Alat analisis yang digunakan Partial Least Square (PLS) pada program SmartPLS versi 2.0. Faktor pendukung dalam adopsi cloud computing : perceived ease of use, perceived usefulness, security effectiveness, reliabilty, needs, cost effectiveness, top management support, complexity, behavioral intention to use dan actual usage. Evaluasi goodness of fit dan resampling bootstraping digunakan untuk menganalisis kelayakan model. Evaluasi goodness of fit model struktural diukur menggunakan nilai predictive-relevance diperoleh nilai sebesar = 0,95 yang artinya model memiliki nilai prediktif yang sangat baik. Hasil uji hipotesis diperoleh dengan menggunakan resampling bootstraping dengan menghitung hubungan antar variabel memiliki nilai t- hitung yang lebih besar = 2.01 dalam adopsi cloud computing di rumah sakit Muhammadiyah, 8 (delapan) hipotesis diterima yaitu: Perceived usefulness, , Perceived ease of use , needs, top management support, complexity dan 3 (tiga) hipotesis ditolak yaitu: security, reliabilty dan cost effectivenes Kata kunci: cloud computing, perceived usefulness, needs, top management support, behavioral intention to use, partial leastsquare (PLS).

scholarly journals The Growth of E-Marketing in Business-to-Business Industry and its effect on the Performance of Businesses in Pakistan: Marketing Success

2017 ◽  
Vol 6 (2) ◽  
pp. 178 ◽  
Author(s):  
Adnan Ahmed Sheikh ◽  
Arfan Shahzad ◽  
Awanis Ku Ishaq
Keyword(s):  
Firm Performance ◽  
Environmental Factors ◽  
Organizational Factors ◽  
Top Management ◽  
Management Support ◽  
Competitive Pressure ◽  
Large Firms ◽  
Path Modeling ◽  
Top Management Support ◽  
Technology Orientation

E-marketing has emerged as one of the significant drivers in sustaining the firms competitive advantage. So far, there is a lack of systematic empirical evidence regarding the marketing activities which are drastically affected by the use of e-marketing in small and large firms of Pakistan and their consequent performance outcomes. However, the objective of this study is to examine the technological, organizational and environmental factors on the performance of small and large firms in Pakistan with mediating role of E-Marketing uses and its generlizibality on countries with similar economic situation. Cross sectional data were collected from 257 manufacturing companies in Pakistan; general manager marketing were selected as the data collection sources. Additionally, SmartPLS 3.0, two step path-modeling has been used to examine the direct as well as indirect hypothesis of the current study. However, the results generated from SmartPLS (SEM) path-modeling found that, with regard to direct relationships, three variables (technology orientation, top management support, use of e-marketing) out of five including mediation variable have found significant positively associated with firm performance, however, only one (competitive pressure) has found negatively significant with firm performance. Finally, in terms of use of e-marketing as mediating variable between the relationships of technological, organizational, environmental factors and firm performance, three out of four (independent variables) indicate partial mediation including technological factors (technology orientation), organizational factors (top management support) and environmental factors (competitive pressure). However, market orientation had shown insignificant results both in the direct relationship as well as by including E-Marketing uses. 

scholarly journals Social Media Adoption in Yemeni Local NGOs

2021 ◽  
Vol 2 (2) ◽  
pp. 28-41
Author(s):  
Mohammed Honinah ◽  
Wail Alhakimi
Keyword(s):  
Social Media ◽  
Decision Makers ◽  
Top Management ◽  
Management Support ◽  
Competitive Pressure ◽  
Quantitative Evidence ◽  
Top Management Support ◽  
Perceived Benefit ◽  
Adoption Research ◽  
Survey Responses

Social media use is rapidly increasing as its platforms keep offering excellent opportunities for individuals and organizations, including NGOs, to develop better outreach with communities, donors and stakeholders, save costs and improve service. This study explores quantitative evidence derived from a survey involving 96 participants from 11 local NGOs in Yemen. The survey responses are analyzed using descriptive statistics that includes means and standard deviations to examine the initially identified 6 Technology-Organization-Environment factors (Technological Factors: perceived benefit, compatibility, complexity; Organizational Factor: top management support; Environmental Factors: bandwagon pressure and competitive pressure). The results suggest that the factors (perceived benefit, compatibility, complexity, top management support, and competitive pressure) are important for social media adoption. It was found that bandwagon pressure is the only factor that does not have a significant role in social media adoption. This study provides a foundation for future social media adoption research as well as useful guidance to NGOs that desire to use social media effectively to benefit their organizations. The findings can be useful to managers and communication officers of NGOs. In this study, it is recommended that understanding the factors related to adoption of social media by Local NGOs will help decision-makers be in a better position to enhance future social media adoption and adoption strategies and accomplish the best outcomes of social media utilizations.

scholarly journals Preliminary insight into cloud computing adoption in a developing country

2016 ◽  
Vol 29 (4) ◽  
pp. 505-524 ◽  
Author(s):  
Prince Kwame Senyo ◽  
John Effah ◽  
Erasmus Addae
Keyword(s):  
Cloud Computing ◽  
Developing Country ◽  
Quantitative Research ◽  
Relative Advantage ◽  
Management Support ◽  
Content Type ◽  
Top Management Support ◽  
Cloud Computing Adoption ◽  
Trading Partners ◽  
Toe Framework

Purpose – The purpose of this paper is to investigate the determinants of cloud computing adoption (CCA) in a developing country context through the lens of the technology, organisation and environment (TOE) framework. Design/methodology/approach – The study was carried out using the quantitative research methodology based on a survey of 305 organisations from different industries in Ghana. Based on the TOE framework, a conceptual model consisting of ten hypotheses were proposed and tested through a confirmatory factor analysis and logistic regression analysis. Findings – The findings indicate that relative advantage, security concern, top management support, technology readiness, competitive pressure and trading partners’ pressure were the TOE factors found to be significant in CCA in a developing country context. Conversely, firm size, scope, compatibility and regulatory support were found to be insignificant. Originality/value – This study provides insights into CCA across different industries in a developing country environment. The study is arguably the first kind of empirical research into CCA in a developing country context, specifically in Ghana. The findings from this study provide a foundation for other studies as well as constructive insights for the development of cloud computing, due to its infancy in the developing world.

Modeling the implementation barriers of cloud computing adoption

2018 ◽  
Vol 25 (8) ◽  
pp. 2760-2782 ◽  
Author(s):  
Rakesh Raut ◽  
Pragati Priyadarshinee ◽  
Manoj Jha ◽  
Bhaskar B. Gardas ◽  
Sachin Kamble
Keyword(s):  
Cloud Computing ◽  
Structural Model ◽  
Management Support ◽  
Implementation Barriers ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Top Management Support ◽  
Expert Opinions ◽  
Cloud Computing Adoption ◽  
First Time

PurposeThe purpose of this paper is to identify and model critical barriers to cloud computing adoption (CCA) in Indian MSMEs by the interpretive structural modeling (ISM) approach.Design/methodology/approachIn this paper, through a literature survey and expert opinions, 14 critical barriers were identified, and the ISM tool was used to establish interrelationship among the identified barriers and to determine the key barriers having high driving power.FindingsAfter analyzing the barriers, it was found that three barriers, namely, lack of confidentiality (B8), lack of top management support (B3) and lack of sharing and collaboration (B2) were most significant.Research limitations/implicationsThe developed model is based on the expert opinions, which may be biased, influencing the final output of the structural model. The research implications of the developed model are to help managers of the organization in the understanding significance of the barriers and to prioritize or eliminate the same for the effective CCA.Originality/valueThis study is for the first time an attempt that has been made to apply the ISM methodology to explore the interdependencies among the critical barriers for Indian MSMEs. This paper will guide the managers at various levels of an organization for effective implementation of the cloud computing practices.

scholarly journals ANALISIS FAKTOR PENENTU ADOPSI CLOUD COMPUTING PADA LAYANAN KESEHATAN

2016 ◽  
Vol 2 (3) ◽  
Author(s):  
Mohammad Bhanu Setyawan
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Goodness Of Fit ◽  
Perceived Usefulness ◽  
Top Management ◽  
Intention To Use ◽  
Management Support ◽  
Top Management Support ◽  
Behavioral Intention To Use

[Id]Artikel ini bertujuan untuk mengetahui faktor-faktor penentu adopsi cloud computing di rumah sakit Muhammadiyah di Jawa Timur dengan menggunakan Technology Acceptance Model (TAM). ?Sampel yang digunakan dalam penelitian ini adalah 29 sampel rumah sakit dengan alat analisis yang digunakan untuk membangun model adalah: perceived ease of use, perceived usefulness, security effectiveness, reliabilty, needs, cost effectiveness, top management support, complexity, behavioral intention to use dan actual usage. ?Evaluasi goodness of fit dan resampling bootstraping digunakan untuk menganalisis kelayakan model. Evaluasi goodness of fit model struktural diukur menggunakan nilai predictive-relevance diperoleh nilai sebesar = 0,95 yang artinya model memiliki nilai prediktif yang sangat baik. Hasil olah data diperoleh dengan menggunakan resampling bootstraping dengan menghitung hubungan antar variabel memiliki nilai t- hitung yang lebih besar = 2.01 dalam adopsi cloud computing di rumah sakit Muhammadiyah di Jawa Timur. Hasil analisis data diperoleh enam variable mempunyai pengaruh positif dan signifikan dalam adopsi cloud computing, yaitu: Perceived usefulness, Perceived ease of use, complexity, needs, top management support dan behavioral intention to use. Selain itu ada tiga variabel secara positif namun tidak signifikan dalam adopsi cloud computing, yaitu: Security effectiveness, reliability dan cost effectivenessKata kunci: cloud computing, needs, technology acceptance model, top management support, behavioral intention to use, partial leastsquare?[En]?This article aims to determine the factors influencing the adoption of cloud computing in the hospital by using Technology Acceptance Model (TAM). The sample used in this study is 29 samples hospital with an analysis tool used to build the model are: perceived ease of use, perceived usefulness, security effectiveness, reliabilty, needs, cost effectiveness, top management support, complexity, behavioral intention to use and actual usage. Evaluation of the goodness of fit and bootstrapping resampling is used to analyze the feasibility of this model. Evaluation of the goodness of fit of the structural model is measured using a predictive value-relevance obtained a value of = 0.95 which means that the model has predictive value was very good. Results if the data is obtained using bootstrapping resampling by calculating the relationship between variables have the value t count bigger = 2.01 in the adoption of cloud computing in the Muhammadiyah hospital in East Java. Results of data analysis obtained six variables have positive and significant influence in the adoption of cloud computing, namely: Perceived usefulness, Perceived ease of use, complexity, needs, top management support and behavioral intention to use. In addition there are three of these variables is positive but not significant in the adoption of cloud computing, namely: Security effectiveness, reliability and cost effectivenessKeywords: cloud computing, needs, technology acceptance model, top management support, behavioral intention to use, partial leastsquare

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