Cloud Computing Adoption in the Construction Industry of Singapore: Drivers, Challenges, and Strategies

2022 ◽  
Vol 38 (2) ◽  
Author(s):  
Daeyoun Won ◽  
Bon-Gang Hwang ◽  
Nur Khairunnisa Binte Mohd Samion
Author(s):  
Nalinpat Porrawatpreyakorn ◽  
Siranee Nuchitprasitchai ◽  
Kanchana Viriyapant ◽  
Sakchai Tangprasert ◽  
Ajchareeya Chaipunyathat

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.


2017 ◽  
Vol 10 (2) ◽  
pp. 87 ◽  
Author(s):  
Faten Karim ◽  
Giselle Rampersad

The main advantage of cloud computing is to reduce the IT cost. By using cloud computing, organisations do not have to set up an IT infrastructure, and instead are able to rent resources and give payment only for the using services. Even with the appealing of cloud computing benefits, it is still in infancy in developing countries due to many reasons. Technology adoption has been explored to a limited degree in developing countries, particularly in relation to cloud computing in the tertiary education sector. Existing studies have examined technology adoption in developed countries and to a lesser extent in developing countries in non-education contexts such as e-government. This paper contributes to the cloud computing adoption literature in developing countries, and specifically in Saudi Arabian universities. 


2016 ◽  
Vol 14 (4) ◽  
pp. 309-323 ◽  
Author(s):  
Omar Ali ◽  
Jeffrey Soar ◽  
Jianming Yong ◽  
Xiaohui Tao

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.


2016 ◽  
Vol 12 (3) ◽  
pp. 296 ◽  
Author(s):  
Salim Al Isma' ◽  
N.A. ili ◽  
Mengxiang Li ◽  
Jun Shen ◽  
Qiang He

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