The Role of Cloud Computing Adoption in Global Business

Author(s):  
Kijpokin Kasemsap

This chapter introduces the role of cloud computing adoption in global business, thus explaining the application overview of cloud computing, the adoption of Information and Communication Technology (ICT), and the Technology, Organization, and Environment (TOE) framework related to technological context, organizational context, and environmental context. In addition, technological context includes the relative advantage, uncertainty, compatibility, and trialability. Organizational context includes the size, top management support, innovation, and prior technology experience. Environmental context includes competitive pressure, industry, market scope, and supplier computing support. Adopting cloud computing in global business will significantly enhance organizational performance and achieve business goals in the digital age.

2016 ◽  
pp. 1611-1640
Author(s):  
Kijpokin Kasemsap

This chapter introduces the role of cloud computing adoption in global business, thus explaining the application overview of cloud computing, the adoption of Information and Communication Technology (ICT), and the Technology, Organization, and Environment (TOE) framework related to technological context, organizational context, and environmental context. In addition, technological context includes the relative advantage, uncertainty, compatibility, and trialability. Organizational context includes the size, top management support, innovation, and prior technology experience. Environmental context includes competitive pressure, industry, market scope, and supplier computing support. Adopting cloud computing in global business will significantly enhance organizational performance and achieve business goals in the digital age.


2020 ◽  
Vol 8 (1) ◽  
pp. 91-102 ◽  
Author(s):  
Can Sayginer ◽  
Tuncay Ercan

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.


Author(s):  
Kijpokin Kasemsap

This chapter reviews the role of cloud computing in global supply chain, thus describing the theoretical and practical concepts of cloud computing and supply chain management (SCM); the significance of cloud computing in global supply chain; the overview of electronic supply chain management (e-SCM); and the organizational information processing theory within global supply chain. The utilization of cloud computing is necessary for modern organizations that seek to serve suppliers and customers, increase business performance, strengthen competitiveness, and achieve continuous success in global business. Therefore, it is essential for modern organizations to examine their cloud computing applications, develop a strategic plan to regularly check their practical advancements, and immediately respond to the cloud computing needs of customers in global supply chain. Applying cloud computing in global supply chain will extremely improve organizational performance and reach business goals in the digital age.


2016 ◽  
Vol 29 (4) ◽  
pp. 505-524 ◽  
Author(s):  
Prince Kwame Senyo ◽  
John Effah ◽  
Erasmus Addae

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.


2016 ◽  
pp. 1556-1583 ◽  
Author(s):  
Kijpokin Kasemsap

This chapter reviews the role of cloud computing in global supply chain, thus describing the theoretical and practical concepts of cloud computing and supply chain management (SCM); the significance of cloud computing in global supply chain; the overview of electronic supply chain management (e-SCM); and the organizational information processing theory within global supply chain. The utilization of cloud computing is necessary for modern organizations that seek to serve suppliers and customers, increase business performance, strengthen competitiveness, and achieve continuous success in global business. Therefore, it is essential for modern organizations to examine their cloud computing applications, develop a strategic plan to regularly check their practical advancements, and immediately respond to the cloud computing needs of customers in global supply chain. Applying cloud computing in global supply chain will extremely improve organizational performance and reach business goals in the digital age.


2017 ◽  
Vol 10 (2) ◽  
pp. 109 ◽  
Author(s):  
Faten Karim ◽  
Giselle Rampersad

Cloud computing is a novel trend in the sphere of information technology. This research sought to identify the factors that could influence the adoption of cloud computing in Saudi Arabian universities, and to comprehend the theories of technology adoption that apply to the uptake of cloud computing in organisations or for individuals, and how they pertained to the study reported here. Four categories of possible influencers were investigated: technological, organisational, environmental, and cultural. This mixed-methods study was based in extended TOE theory (technology, organisation, and environment) and the Hofstede model, which includes cultural factors. To accomplish the goals of the research, an exploratory study consisting of two phases, including qualitative (interviews) and quantitative (survey) was initiated to determine the importance of each of these influencers and the degree of influence. The results revealed that the factors of relative advantage, compatibility, top management support, readiness, competitive pressure, regulatory support, high masculinity, and high individualism have positive impacts on the adoption of cloud computing in this particular context. They also showed that security concerns, high uncertainty avoidance, and high power distance have negative impacts on cloud computing adoption. Unexpectedly, the results indicated that complexity, language and religion do not influence the adoption process.


Author(s):  
Alireza Mohammadi ◽  
Armin Saeedikondori ◽  
Hossein Nezakati ◽  
Naghmeh Sabermajidi ◽  
Amer Hamzah Jantan

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.


2015 ◽  
Vol 28 (4) ◽  
pp. 579-594 ◽  
Author(s):  
Ogan M. Yigitbasioglu

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.


2021 ◽  
Vol 11 (4) ◽  
pp. 136-151
Author(s):  
Thura Al-Azzawi ◽  
Tugberk Kaya

The use of cloud computing has remarkable advantages in business performance. It is related especially in the portion of the organizational environment, such as organizational culture and organizational agility. Organizational agility provides an easier process to search and retrieve knowledge and allow the businesses to utilize and apply this knowledge to get high-quality services. Agility and culture factors can help organizations to enhance their cloud computing adoption. The achievement of any organization is dependent upon human resources. With human resources, the organization can develop its employees by sharing knowledge, skill, and experience of personnel. Expert cloud has a significant impact on and direct relation with human resources as it facilitates the communication among human resources better, more efficiently, and reduces the cost of the service. In this paper, the authors discuss the relationship between expert cloud and human resources to enhance the organizational performance through the assistance of organizational agility and culture.


2015 ◽  
Vol 28 (1) ◽  
pp. 107-130 ◽  
Author(s):  
Hemlata Gangwar ◽  
Hema Date ◽  
R Ramaswamy

Purpose – The purpose of this paper is to integrate TAM model and TOE framework for cloud computing adoption at organizational level. Design/methodology/approach – A conceptual framework was developed using technological and organizational variables of TOE framework as external variables of TAM model while environmental variables were proposed to have direct impact on cloud computing adoption. A questionnaire was used to collect the data from 280 companies in IT, manufacturing and finance sectors in India. The data were analyzed using exploratory and confirmatory factor analyses. Further, structural equation modeling was used to test the proposed model. Findings – The study identified relative advantage, compatibility, complexity, organizational readiness, top management commitment, and training and education as important variables for affecting cloud computing adoption using perceived ease of use (PEOU) and perceived usefulness (PU) as mediating variables. Also, competitive pressure and trading partner support were found directly affecting cloud computing adoption intentions. The model explained 62 percent of cloud computing adoption. Practical implications – The model can be used as a guideline to ensure a positive outcome of the cloud computing adoption in organizations. It also provides relevant recommendations to achieve conducive implementation environment for cloud computing adoption. Originality/value – This study integrates two of the information technology adoption models to improve predictive power of resulting model.


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