Factors Explaining IS Managers Attitudes toward Cloud Computing Adoption

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.

2017 ◽  
Vol 15 (2) ◽  
pp. 73-94
Author(s):  
O T AROGUNDADE ◽  
A O ADEJIMI ◽  
A M MUSTAPHA ◽  
A M IKOTUN ◽  
A AKINWALE

Cloud computing is a viable alternative for meeting the technological needs of many  enterprises with the benefits of instantaneous computing resource fulfillment, technology expenditures at lower costs, common technology platforms that can facilitate standardization and decreased  need for internal technology support personnel. This paper examined the behavioral intention to adopt cloud computing services in large and small organization using an Enhanced Technology Acceptance Model (ETAM). The aim is to investigate the factors affecting cloud computing adoption in Nigeria. The model includes variables that other research has found related to adoption of new computing services and technologies. Regression Analysis was then deployed to test the research hypotheses. The result of regression analysis revealed that attitude and adopters ability to use cloud computing (self-efficacy) were better predictor of intention; perceived usefulness and perceived ease of use of cloud computing were better predictor of attitude; perceived ease of use and the relevant of cloud computing to adopters’ work (job relevance) were the predictor of perceived usefulness. 


2016 ◽  
pp. 1088-1110 ◽  
Author(s):  
Yuan Li ◽  
Kuo-Chung Chang

This chapter examines factors that influence individual adoption of cloud computing measured by the intentions to use cloud computing for personal needs. Drawing upon the cloud computing and online service literature, it recognizes eleven antecedents to individual intentions to use cloud computing. An empirical test on undergraduate and graduate students shows that of these antecedents a person's attitude toward cloud computing, subjective norm, perceived behavioral control, and perceived usefulness have direct impacts on intentions, while other antecedents, including perceived ease of use, transferability of computer skills, vendor reputation, perceived risks, privacy concerns, security concerns, and concerns about vendor lock-in, have indirect impacts. The study expands the view on cloud computing adoption among individual users with a multiplicity of factors and an integrative framework, and it also highlights the tradeoffs between benefits and risks in adoption decisions.


2017 ◽  
Author(s):  
Karina Dhena Goda

Perkembangan di bidang komputasi telah melahirkan berbagai layanan yang memberikan kemudahan dan manfaat bagi pengguna. Komputasi dengan akses yang terbatas sebelumnya kini telah berevolusi menjadi layanan komputasi dengan kemampuan akses yang luas karena dikolaborasikan dengan layanan internet menjadi sebuah layanan komputasi berbasis cloud (cloud computing). Layanan Software as a Service merupakan salah satu dari tiga layer utama dalam layanan cloud computing yang menyediakan layanan software siap pakai bagi pengguna. Dalam penelitian ini, penulis tertarik untuk menganalisis penerimaan mahasiswa Jurusan teknik Komputer dan Informatika Politeknik TEDC terhadap layanan software as a Service Google Apps berbasis Cloud Computing dengan menggunakan Model Technology Acceptance Model (TAM).Populasi dalam penelitian ini adalah mahasiswa jurusan Teknik Komputer dan Informatika Politeknik TEDC Bandung. Penentuan sampel dilakukan dengan teknik Simple Random Sampling dengan memberikan peluang yang sama bagi setiap anggota populasi untuk menjadi sampel. Teknik pengolahan data dilakukan dengan Structural Equation Modeling (SEM) yang dibantu aplikasi SPSS AMOS versi 22.Hasil Penelitian tentang analisis penerimaan mahasiswa terhadap layanan Software as a Service Google Apps berbasis cloud computing pada jurusan Teknik Komputer dan Informatika menunjukkan bahwa: Perceived Ease of Use berpengaruh signifikan terhadap Perceived Usefulness, Perceived Usefulness berpengaruh signifikan terhadap Intention to Use, Perceived Ease of Use tidak berpengaruh signifikan terhadap Intention to Use, System Quality berpengaruh signifikan terhadap Perceived Usefulness, Relative Advantage berpengaruh signifikan terhadap Perceived Usefulness, Trust tidak berpengaruh signifikan terhadap Perceived Usefulness, Compatibility tidak berpengaruh signifikan terhadap Perceived Usefulness, Compatibility tidak berpengaruh signifikan terhadap Perceived Ease of Use, Job relevance berpengaruh signifikan terhadap Perceived Usefulness, Job Relevance berpengaruh signifikan terhadap Perceived Ease of Use, User Interface Design berpengaruh signifikan terhadap Perceived Ease of Use dan Experience berpengaruh signifikan terhadap Perceived Ease of Use.Kata Kunci— Software as a Service, Cloud Computing, Google Apps, Technology Acceptance Model (TAM), Structural Equation Model (SEM).


Author(s):  
Yuan Li ◽  
Kuo-Chung Chang

This chapter examines factors that influence individual adoption of cloud computing measured by the intentions to use cloud computing for personal needs. Drawing upon the cloud computing and online service literature, it recognizes eleven antecedents to individual intentions to use cloud computing. An empirical test on undergraduate and graduate students shows that of these antecedents a person's attitude toward cloud computing, subjective norm, perceived behavioral control, and perceived usefulness have direct impacts on intentions, while other antecedents, including perceived ease of use, transferability of computer skills, vendor reputation, perceived risks, privacy concerns, security concerns, and concerns about vendor lock-in, have indirect impacts. The study expands the view on cloud computing adoption among individual users with a multiplicity of factors and an integrative framework, and it also highlights the tradeoffs between benefits and risks in adoption decisions.


Author(s):  
Rana A. Saeed Al-Maroof ◽  
Mostafa Al-Emran

Google classroom can work in unidirectional process as it can serve the teachers’ strategies and styles on one hand and students’ perception, understanding, and effective participation in different classroom skills on the other hand. The ac-ceptance of Google classroom is affected by different factors. Some of them are still not clearly specified and discussed in previous research; therefore, they need further investigation. Based on the previous assumption, this study is an attempt to examine the factors that affect the students’ acceptance of Google classroom at Al Buraimi University College (BUC) in Oman. The Technology Acceptance Model (TAM) was adopted to formulate the hypotheses of the current study. The data was collected through an online questionnaire with 337 respondents. The Partial Least Square-Structural Equation Model (PLS-SEM) approach was used to assess both the measurement and structural models. The results of the study prove that both the perceived ease of use (PEOU) and perceived usefulness (PU) positively influence the behavioral intention, which in turn influence the actual usage of Google classrooms. This study helps the decision makers of the higher educational institutions to have a better understanding of the effectiveness of us-ing Google classroom by their students. It is assumed that it helps in measuring the level of students’ acceptance to the previously mentioned technology.


2021 ◽  
Vol 11 (5) ◽  
pp. 249
Author(s):  
Chun-Hsiung Huang

This research explores the influencing factors of learning satisfaction in blended learning. Three dimensions are proposed: perceived usefulness, perceived ease of use, and learning motivation. It studied how these variables affect students’ learning satisfaction. The research hypotheses are: (1) Perceived ease of use positively affects perceived usefulness; (2) Perceived usefulness and perceived ease of use will have a positive effect on learning motivation; (3) Learning motivation positively affects learning satisfaction; (4) Perceived usefulness has a positive intermediary effect on the relationship between perceived ease of use and learning motivation. Participants included 173 freshmen who took the first-year interactive game design course at Ling Tung University in Taichung, Taiwan. The questionnaire survey method is applied in this research to analyze the relationship between the variables and verify the hypothesis based on the collected 173 valid questionnaires. The partial least square method structural equation model (PLS-SEM) is used to carry out structural equation modeling to study the relationship between latent variables. It explains that the perceived ease of use affects the perceived usefulness. Perceived usefulness and perceived ease of use have a positive impact on learning motivation. Learning motivation has a positive impact on learning satisfaction. Perceived usefulness as an intermediary factor of perceived ease of use has an indirect impact on learning motivation. The contribution of this research is to provide empirical evidence and explain what factors may affect learning satisfaction. Some other related factors that may affect learning satisfaction should be taken as the factors that teachers should pay attention to when implementing blended learning.


Author(s):  
Japneet Kaur ◽  
Sawraj Kaur ◽  
Amanjot Singh Syan ◽  
Rishi Raj Sharma

The purpose of this study is to investigate the factors that shape behavioural intentions of customers towards the adoption of payment banks in India. The conceptual framework of study is based upon integration of technology acceptance model with initial trust, facilitating conditions and social influence. Further, the study tests the moderating role of age, income and self-efficacy on the relationships between dependent variable and associated predicted variable. A total of 507 responses were collected from the state of Punjab (India), using convenient sampling technique and were analysed using the structural equation modelling (SEM). The results revealed that perceived ease of use had the highest impact on the behavioural intentions, followed by initial trust and social influence. Facilitating conditions and perceived usefulness showed lower impact on the behavioural intentions towards the adoption of payment banks. Also, moderation analysis revealed that self-efficacy moderates the relation of perceived ease of use and perceived usefulness with behavioural intentions. Results imply that marketers should collaborate with developers to provide the customers with easy-to-operate solutions along with robust customer support mechanism to escalate the adoption intention of those having lower self-efficacy levels.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eugene Okyere-Kwakye ◽  
Khalil Md Nor

Purpose Electronic library (E-library) is a form of computer mediated system that uses electronic media, such as Web/internet devices and distributes resources to improve on the quality of teaching and learning. Students’ use of e-library for learning is essential and as such the government has invested hugely into its subscription for several university libraries in Ghana. However, most university students feel reluctant to use the e-library resources for their studies. The purpose of this paper is therefore to examine the factors that influence students’ intention to use e-library resources for their studies. Design/methodology/approach Questionnaire was used to collect data from 200 students from one Technical University in Ghana. Structural equation modeling (SmartPLS) was used to analyze the data. Findings The study found that accessibility, attitude, perceived ease of use, perceived usefulness and relevance to studies have positive significant effect on students’ attitude to use e-library. In addition, self-efficacy, subjective norm and attitude have positive significant influence on students’ intention to use e-library. Research limitations/implications Although the sample frame used for this study may be unique, but the total amount of data collected was limited to providing the general representative of the Ghanaian students in one particular university. Other researchers may consider collecting data from other universities to extend the sample frame for a larger sample size of students. Practical implications Academic administrators need to organize training and workshops on how to use the e-library portal for their search and other didactic assignments. Most importantly, students should be given IT or internet tutorials as foundation for the use of the e-library portal. Social implications Universities have to provide internet access such as hotspot and network routers at the labs, classrooms and other vantage points. It is believed that with these in place, adequate access to the internet would promote students’ engagement on the e-library facility. Originality/value The study examines the factors that influence students’ intention to use e-library resources for their studies in Ghana.


2016 ◽  
Vol 11 (2) ◽  
pp. 22 ◽  
Author(s):  
M. Shakaib Akram ◽  
Wafi Albalawi

<p>Social media has become a major source of communication and collaboration between individuals and among groups. The current paper investigates the underlying motives of social media adoption. The research identifies various determinants such as perceived connectedness, perceived enjoyment, perceived usefulness and perceived ease of use as the major influencers of social media adoption intention. Using the sample from Saudi Arabia an online survey is conducted. Structural equation modeling has been used to test the proposed relationships. The results reveal that individuals’ perceived connectedness and perceived enjoyment act as stimuli for their social media adoption intention. Moreover, perceived ease of use and perceived usefulness mediate these stimuli and the individuals’ social media adoption intention. The paper concludes with the recommendations for the academicians and the social media designers/developers.</p>


2018 ◽  
Vol 118 (8) ◽  
pp. 1647-1670 ◽  
Author(s):  
Wangyue Zhou ◽  
Zayyad Tsiga ◽  
Boying Li ◽  
Shuning Zheng ◽  
Shuli Jiang

Purpose The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example. Design/methodology/approach An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform. Findings The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention. Practical implications The findings can be used to guide e-finance providers to improve their platform design and services to retain users. Originality/value This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.


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