Examining the Contributing Factors for Cloud Computing Adoption in a Developing Country

2017 ◽  
Vol 13 (1) ◽  
pp. 17-37 ◽  
Author(s):  
Winfred Yaokumah ◽  
Rebecca Adwoa Amponsah

The growth in cloud computing adoption is phenomenal in organizations worldwide due mainly to its potential to increase productivity and enhance efficiency in business operations. However, cloud adoption is very low in many organizations in the developing countries. To gain insights into organizations' behavioral intention and usage behavior of cloud computing, based on the Extended Unified Technology Acceptance and Use Theory, the current study investigated the effects of technological, organizational, and environmental factors on cloud adoption in organizations. Using samples from five industry sectors and by employing the Structural Equation Model, the study found that facilitating conditions, habit, performance expectancy, and price value had positive and significant effect on behavioral intention to use cloud computing. But, effort expectancy, social influence, lack of motivation, and inadequate security were found to be barriers to cloud adoption. These findings could contribute toward better formulation of planning guidelines for successful adoption of cloud computing.

2019 ◽  
pp. 1663-1685
Author(s):  
Winfred Yaokumah ◽  
Rebecca Adwoa Amponsah

The growth in cloud computing adoption is phenomenal in organizations worldwide due mainly to its potential to increase productivity and enhance efficiency in business operations. However, cloud adoption is very low in many organizations in the developing countries. To gain insights into organizations' behavioral intention and usage behavior of cloud computing, based on the Extended Unified Technology Acceptance and Use Theory, the current study investigated the effects of technological, organizational, and environmental factors on cloud adoption in organizations. Using samples from five industry sectors and by employing the Structural Equation Model, the study found that facilitating conditions, habit, performance expectancy, and price value had positive and significant effect on behavioral intention to use cloud computing. But, effort expectancy, social influence, lack of motivation, and inadequate security were found to be barriers to cloud adoption. These findings could contribute toward better formulation of planning guidelines for successful adoption of cloud computing.


2018 ◽  
Vol 7 (3.15) ◽  
pp. 157
Author(s):  
Khairini Azlin Khairuddin ◽  
Afdallyna Fathiyah Harun

As accessibility to government online services is critical, MAMPU has outlined strategic directions for the implementation of Public Sector ICT. This included cloud computing adoption which aims to optimize service delivery but is progressing slowly due to resource-sharing and standardization issues. This calls for the need to assess contributing factors of technology acceptance within a public sector. Employing Malaysia NRD as a case study, we aim to identify factors of cloud adoption and determine how NRD could strategize Cloud Computing adoption. Using the DOI and TOE theories, we assessed cloud computing adoption in terms of ¬Technology Characteristics, Organisational Readiness, and External Environment through a case study. It was found that that all constructs are significant to cloud adoption with security and service quality being the highest concern. Moreover, several elements such as compatibility, readiness and more need to be in place to enhance the impact of cloud computing adoption.  


Author(s):  
Siti Salwa Sheikh Mokhtar ◽  
Anuar Shah Bali Mahomed ◽  
Yuhanis Abdul Aziz ◽  
Suhaimi Ab. Rahman

Small and medium-sized enterprises (SMEs) are commonly perceived as an essential part of boosting and stabilizing global economic growth. In 2018, SMEs recorded a 38.3% contribution to GDP of RM521.7 billion compared to RM491.2 billion in 2017. SMEs are expected to contribute 50% to Malaysia's GDP by 2030 relative to its present 38% contribution. However, in the context of Malaysia businesses, particularly small and medium-sized enterprises, are still not embracing the latest technology revolution sufficiently, as reported by the Ministry of International Trade and Industry (2018). Malaysia is currently in the third industrial revolution (automation), and some are still under the second industrial revolution. Such matter is worrying as only a few industries in Malaysia can adopt pillars of Industry 4.0, where business owners in Malaysia were still hesitant to embrace technologies such as the cloud. To bridge the gap in this analysis, this research adopted the technology acceptance model developed by Davis (1989) and Rogers' Diffusion Innovation Theory (1995), which incorporates the contexts of technology and innovation among SMEs in Malaysia. By using survey questionnaires, data was collected among manufacturing and services SMEs in Malaysia. Structural equation model employed to assess the important factors of innovation in adopting cloud computing among SMEs in Malaysia by using Smart-PLS. Keywords: Cloud computing, Industry 4.0, Innovation, Technological


2021 ◽  
Author(s):  
Huiwen Zhai ◽  
Xin Yang ◽  
Jiaolong Xue ◽  
Christopher Lavender ◽  
Tiantian Ye ◽  
...  

BACKGROUND The AI assisted contouring system benefits radiation oncologists in terms of saving time and improving treatment accuracy. There is much hope and fear around such technologies, and it is the fear which can emanate as resistance for health care professionals, leading to the failure of AI projects. OBJECTIVE The objective of this research was to develop and test a model investigating the factors that drive radiation oncologists’ acceptance of the AI contouring technology in the Chinese context. METHODS A model of AI assisted contouring technology acceptance based on the UTAUT model adding variables of perceived risk and resistance was proposed in this study. The model included eight constructs with 29 questionnaire items and 307 respondents completed the questionnaires. Structural equation modeling (SEM) was conducted to evaluate item the model's path effects, significance and fitness. RESULTS The overall fitness indices for the model were evaluated showing the hypothesized model has a good fit to the data. Behavioral intention was significantly affected by performance expectancy (beta=.155; P=.014), social influence (beta=.365; P<.001), and facilitating conditions (beta=.459; P<.001). Effort expectancy (beta=.055; P=.450), perceived risk (beta=.-048; P=.348), and resistance bias (beta=–.020; P=.634) did not significantly affect behavioral intention. CONCLUSIONS The physicians' overall perception of the AI assist technology for radiation contouring were high. Technology resistance among Chinese radiation oncologists was low and not related to behavioral intention. Not all of the factors in Venkatesh's UTAUT model apply to physicians' AI technology adoption in the Chinese context.


Author(s):  
Tan Yong-Da ◽  
Teoh Teng-Tenk, Melissa ◽  
Lee Teck-Heang

The purpose of this research is to determine the factors that affect the behavioral intention of Malaysians individuals to adopt online stock trading. The primary data is collected with the help of structured questionnaire from 285 participants in the study who are current or potential investors in the Malaysian stock market. The online surveys were distributed from the last quarter of 2019 to the first quarter of 2020. This study uses the structured and self-administered online questionnaire survey tool to collect the primary data from samples. Non-probability convenient sampling method was employed and Partial Least Squares Structural Equation Model (PLS-SEM) is adopted. The results indicate that all constructs, namely performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC) have a direct significant positive relationship toward behavioral intention. In addition, the study shows that PE is the most important factor in determining individuals’ behavioral intention in adopting online stock trading. In conclusion, online stock trading system developer should focus on designing the additional useful features and ensuring the quality of the information to satisfy the demands and desires of the general public and to build features such as prompting traders to avoid the possibility of over trading or with feature enabling users to backtrack and test their trading strategies and to customize different types of analysis to help users making informed investment decisions.


2021 ◽  
Vol 4 (2) ◽  
pp. 170-184
Author(s):  
Qona'ah El Hasan ◽  
Budi Permana

Technology acceptance is important for identifying elements that influence the user, so it is easy to use apps. The evaluation of technology reception will help to improve the system better in the future and indicate whether the system succeeded or not, so the users will keep using the apps. SHAREit is a program that can be downloaded on the Android Smartphone platform and on personal computers. It is able to transfer documents, pictures, music, and videos rapidly. Even so, the applications are faster than Bluetooth and Wifi. Then, Indonesia is the biggest second market for SHAREit in the world. The research is proposed to detect how the user accepts SHAREit in Kuningan Regency by using the Unified Theory of Acceptance and Use of Technology Method. It has been modified. The instrument of research is a questionnaire then distributed to user communities of SHAREit in Kuningan Regency by using Incidental Sampling, instrument testing and data processing Structural Equation Modelling by AMOS apps. Furthermore, the hypothesis is arranged through moderator variables; age, gender, and experience. The result of research indicates that there are three factors possessing positive influence on Behavioral Intention of usage SHAREit, such as Performance Expectancy, Social Influence, and Facilitating Conditions. A factor influencing use of behavioral is behavioral intention. Whereas, Personal Innovativeness in the Domain of Information Technology and Effort Expectancy do not influence the Behavioral Intention of SHAREit Apps in Kuningan Regency.


2021 ◽  
Vol 13 (20) ◽  
pp. 11160
Author(s):  
Seung-hye Jung ◽  
Joon-ho Kim ◽  
Ha-na Cho ◽  
Hae-won Lee ◽  
Hyun-ju Choi

Brand personality is a useful tool that forms a favorable brand image and that ultimately builds powerful brand equity. However, there has been insufficient empirical research on the brand personality of Korean dance. In the context of using culture and the arts to support national competitiveness, we examine traditional Korean dance in terms of a potential brand personality that can influence the perceptions of global consumers. We look at how this brand can affect consumer perceptions of how easy it is to learn Korean dances as well as their perceptions of the physical benefits of these dances. The respondents included global consumers who had listened to or watched Korean dance music and videos on TV and the Internet, searched for and watched Korean dance videos on YouTube, and searched for Korean dance information on social media at least once. A survey was conducted over the course of four months, from October 2020 to January 2021, in four countries: South Korea, the USA, the UK, and South Africa. Valid data were obtained from 649 individuals. We conducted an empirical study by applying and integrating the technology acceptance model (TAM) to the brand personality of Korean dance. A structural equation model was used to analyze the responses. The brand personality of Korean dance enhanced its perceived ease of use and its perceived usefulness among global consumers, which led to positive attitudes toward the dances. Furthermore, it led to a sustainable behavioral intention, that is, interest in learning traditional Korean dances. Since no studies have integrated Korean dance into a single brand personality to use it as a cultural asset, this study makes considerable contributions to the literature.


2016 ◽  
Vol 12 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Karim Mezghani ◽  
Faouzi Ayadi

This research aims to study factors that explain the negative attitude toward cloud computing adoption. More precisely, through a literature review and then a survey study, this research tries to develop and test a research model that present factors which may explain the attitude toward cloud adoption. From these factors, the authors expect to present some 'best practices' required in cloud adoption. Indeed, as an emerging technology, cloud computing adoption and deployment need to be studied empirically to provide advises for practitioners. In this paper, the authors use a quantitative approach based on questionnaire addressed to IS Managers in Saudi enterprises that operate in the financial sector. Data collected from 74 firms are used to test the research hypotheses. They are analyzed by Structural Equation Modelling. Among the main results, the authors have found that risks factors are not determinants to study such attitudes. Rather, they found that the “positive” perceptions (perceived benefits, perceived usefulness and perceived ease of use) are the most determinants. Such perceptions are favored when IS managers are frequently exposed to cloud computing related information. In light of these results, the authors proposed some recommendations for decision makers in this area.


Author(s):  
Ishan Senarathna ◽  
William Yeoh ◽  
Matthew Warren ◽  
Scott Salzman

New national infrastructure initiatives such as National Broadband Network (NBN) could enable Small and Medium-sized Enterprises (SMEs) in Australia to further embrace Cloud computing service. However, the ability of Cloud computing to store data remotely and share services in a dynamic environment bring along with it Cloud security and privacy concerns. In this study, we examined the influence of privacy and security factors on Cloud adoption by Australian SMEs through a questionnaire survey. Data was collected from 150 SMEs (i.e. 79 metropolitan SMEs and 71 regional SMEs) and structural equation modelling was used for data analysis. The findings show that Cloud privacy and security factors are not the most critical concern for Australian SMEs. Moreover, the results indicate that Cloud computing adoption is not influenced by the geographical location of the SMEs. This study extends the current understanding of Cloud computing adoption by Australian SMEs.


Sign in / Sign up

Export Citation Format

Share Document