The role of institutional pressures and top management support in the intention to adopt cloud computing solutions

2015 ◽  
Vol 28 (4) ◽  
pp. 579-594 ◽  
Author(s):  
Ogan M. Yigitbasioglu
Keyword(s):  
Cloud Computing ◽  
Empirical Literature ◽  
Top Management ◽  
Institutional Pressures ◽  
Management Support ◽  
Content Type ◽  
Cloud Computing Adoption ◽  
Institutional Forces ◽  
Local Actors

Purpose – While many studies have predominantly looked at the benefits and risks of cloud computing, little is known whether and to what extent institutional forces play a role in cloud computing adoption. The purpose of this paper is to explore the role of institutional factors in top management team’s (TMT’s) decision to adopt cloud computing services. Design/methodology/approach – A model is developed and tested with data from an Australian survey using the partial least squares modeling technique. Findings – The results suggest that mimetic and coercive pressures influence TMT’s beliefs in the benefits of cloud computing. The results also show that TMT’s beliefs drive TMT’s participation, which in turn affects the intention to increase the adoption of cloud computing solutions. Research limitations/implications – Future studies could incorporate the influences of local actors who might also press for innovation. Practical implications – Given the influence of institutional forces and the plethora of cloud-based solutions on the market, it is recommended that TMTs exercise a high degree of caution when deciding for the types of applications to be outsourced as organizational requirements in terms of performance and security will differ. Originality/value – The paper contributes to the growing empirical literature on cloud computing adoption and offers the institutional framework as an alternative lens with which to interpret cloud-based information technology outsourcing.

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.

Building a fitting context for knowledge management and innovativeness

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayşe Günsel ◽  
Serdar Bozkurt ◽  
Özge Mehtap
Keyword(s):  
Knowledge Management ◽  
Organizational Context ◽  
Top Management ◽  
Management Support ◽  
Mutual Trust ◽  
Content Type ◽  
Top Management Support ◽  
Firm Innovativeness ◽  
Organizational Rewards

Purpose In the hyper-dynamic business world of today, innovation has become the lifeblood of organizations. Knowledge management (KM) is widely considered an essential antecedent of innovation. However, very little empirical research has specifically addressed how KM is nurtured as support for innovation from a behavioral point of view. This paper aims to operationalize the characteristics of a fitting context – in terms of top management support, organizational rewards and mutual trust – and to clarify the role of organizational context on knowledge management strategies (KMS) and ultimately on firm innovativeness. Design/methodology/approach By studying 98 surveys from 23 companies from Technology Fast 50 list, based on using the partial least squares method, the authors find that this organizational context has a significant impact on the formulation and implementation of KMS. Findings Organizational/behavioral context has significant effects on the formulation and implementation of KMS as well as firm innovativeness. The results also demonstrate that the tacit KMS has a crucial impact on firm innovativeness. Originality/value From a behavioral perspective, this study empirically examines the role of organizational context (top management support, organizational rewards and mutual trust), KMS and firm innovativeness in a holistic manner in Turkey, a developing country. To the best of the authors’ knowledge, no researcher has undergone those relationships in literature.

The role of top management support and organizational capabilities in achieving e-business entrepreneurship

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khaled Saleh Al-Omoush
Keyword(s):  
Organizational Learning ◽  
Organizational Capabilities ◽  
Pivotal Role ◽  
Top Management ◽  
Management Support ◽  
Organizational Agility ◽  
Content Type ◽  
Top Management Support ◽  
The Impact

Purpose The purpose of this study is to investigate the role of top management support and organizational capabilities in achieving e-business entrepreneurship. Design/methodology/approach Data were collected through a self-administered questionnaire from 26 manufacturing firms with a sample of 282 respondents. Data were analyzed using SmartPLS. Findings The results show a significant impact of top management support on e-business entrepreneurship. The findings also show a direct impact of organizational capabilities, involving organizational agility and organizational learning on the e-business entrepreneurship. Moreover, the results of the study highlight the pivotal role of top management in preparing an organizational environment that fosters organizational learning and organizational agility capabilities to establish e-business entrepreneurship. Originality/value This study contributes to the body of knowledge and understanding of e-business entrepreneurship and the pivotal role of top management support in today’s very dynamic environment. Furthermore, the present study offers new insights into the impact of organizational capabilities on establishing e-business entrepreneurship.

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.

Exploring suitability of cloud computing for small and medium-sized enterprises in India

2017 ◽  
Vol 24 (4) ◽  
pp. 814-832 ◽  
Author(s):  
Devesh Kumar ◽  
Harsh Vardhan Samalia ◽  
Piyush Verma
Keyword(s):  
Cloud Computing ◽  
Conceptual Framework ◽  
Information And Communication Technologies ◽  
Theoretical Models ◽  
Successful Outcome ◽  
Management Support ◽  
Perceived Benefits ◽  
Content Type ◽  
Security Issues ◽  
Cloud Computing Adoption

Purpose The purpose of this paper is to evaluate the suitability of cloud computing for small and medium-sized enterprises (SMEs) in India. Design/methodology/approach Literature review is used to identify benefits, challenges, and factors concerning usage and adoption of cloud computing by SMEs. A conceptual framework was developed based on the existing theoretical models and factors identified from the literature. A survey based on questionnaire method was followed to collect data from 121 manufacturing SMEs in India. The conceptual framework was refined by using factor analysis, and multiple regression analysis was used to test the hypotheses. Findings Major benefits of cloud computing for SMEs include cost advantage, easy deployment process, easier access to latest information and communication technologies, automatic updates and upgrades, scalability, flexibility, and improved disaster recovery and back-up capabilities. The concern area includes perceived loss of control, vendor lock-in, security issues, reliability and availability issues, and internet connectivity and speed. The factors that are found significant include perceived benefits, top management support, competitive pressure, and perceived concerns. The model explained 73 percent of cloud computing adoption. Research limitations/implications The study is expected to make significant contribution toward body of knowledge pertaining to information technology adoption in SMEs. Practical implications The study is expected to provide SMEs an insight into real benefits and challenges associated with adopting cloud computing. The model can help SMEs in evaluating their readiness for adopting cloud computing and can ensure successful outcome of cloud computing adoption in SMEs. Providers are also going to be benefited through their enhanced understanding of SMEs’ requirements. Originality/value The proposed framework incorporates all the relevant factors including perceived benefits, perceived concerns, and other organizational and environmental factors to improve model’s predictive power.

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.

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.  

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.

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