11,003 research outputs found

    Students’ use of Cloud Storage in their Studies: A Case of a Private University in the Philippines

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    This paper seeks to determine factors affecting the students’ intention to use and actual use of the cloud storage systems such as Google Drive, iCloud and Microsoft One, etc. using the Unified Theory of Acceptance and Use of Technology. The respondents are students of leading private universities in the Philippines and the data were analyzed using Partial Lease Square – Structural Equation Model (PLS-SEM). PLS-SEM was conducted using SMART PLS software and the results showed that performance expectancy and social influence positively and significantly affects the intention to use cloud storage systems. Hence, the University should maintain its subscription of a cloud storage system and promote maximizing its use because large members of the academic community, the students, intend to use the cloud storage system as they perceive an increase in productivity of their schoolwork and due to increase by the community as well

    Acceptance model of SaaS cloud computing at northern Malaysian main campus public universities

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    Technology advancement has side effects, although it has moved in a fast pace that facilitated life and increased business revenue. To cope with negative aspects while looking for friendly technology, Software as a Service (SaaS) Cloud Computing emerged to preserve natural resources, effectively utilize computing and power consumption, while achieving performance, decreasing cost, and increasing revenue. Yet, there are paucity in empirical studies investigating salient factors affecting the usage, acceptance, or adoption of SaaS services from the individual perspectives specifically in higher education sector. The main objective of this study is to investigate the salient factors with proper model that includes technical, social and control characteristics, as well as user security predisposition. Besides, educational level has also proven to be influential in adopting innovations. Hence, probing its role is another objective. The last objective is to investigate differences between student and lecturer groups in the relationships postulated in the model. A survey with questionnaires was conducted on students and lecturers in four public universities in Northern Malaysia. The scope of the acceptance is to investigate the personal-level use of SaaS services. Decomposed Theory of Planned Behaviour (DTPB) and Diffusion of Innovation Theory (DOI) were applied. Results revealed appropriateness of the model although the role of Trialability and Subjective Norms were not significance. The findings contribute to the body of knowledge and literature in highlighting the role of these factors that SaaS providers could benefit in planning for new services and in promoting SaaS usage to universities

    Cloud Computing Adoption Factors Affecting Academic Performance in UAE Public Universities

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    Cloud computing helps in reducing costs and providing accessibility, reliability, and flexibility especially in educational sector. This able to provide the best educational resources and facilities to all level of students effectively and efficiently. It also seen as a creative technological innovation that provides stable and on-demand access to the available network. Hence, this study aimed to measure the cloud computing adoption factors affecting the academic performance in UAE university. The factors are clustered into five groups namely, knowledge sharing; knowledge application; learnability; perceived self-efficacy; and perceived enjoyment. A questionnaire survey was conducted with the university students to gauge their opinions on the level of significant of each factor affecting the academic performance using 5-points Likert scale. Out of 400 questionnaire sets distributed using random sampling, 382 valid responses were extracted as the collected data. This data was analysed descriptively. The results of the analysis found that that cloud computing adoption factors in perceived self-efficacy group are ranked first in term of its significance in affecting academic performance. The second rank is factors in learnability group; the third is perceived enjoyment; the fourth rank is knowledge application and finally, the fifth rank is knowledge sharing. The impact of this research will be felt simultaneously in the IT and education sectors, particularly through assisting students in utilising cloud computing to store and exchange information for both their academic and personal lives

    Switching Intention and Intention to Use Personal Cloud Storage Services Among Chinese Undergraduates

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    Purpose: As one of the emerging Internet technologies, cloud technology may be broadly categorized as cloud computing and cloud storage. Personal Cloud Storage Service (PCSS) is an important part of cloud technology. Thus, this study investigates the factors influencing Hangzhou undergraduates' switching intentions and intention to use personal cloud storage services. Research design, data, and methodology: The data were collected from 515 undergraduates at Zhejiang University, Zhejiang Gongshang University, and Zhejiang University of Technology. The sampling techniques are judgmental sampling, stratified random sampling, and snowball sampling. The item-objective congruence (IOC) and Cronbach's Alpha of the pilot test were approved before the data collection. Afterwards, this study applied confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: The findings indicate that perceived ease of use has a significant impact on perceived usefulness. Perceived usefulness, perceived ease of use and attitude significantly affect intention to use. Perceived risk significantly affected the switching intention. Finally, switching cost and perceived usefulness significantly affect the switching intention. Conclusion: Personal cloud storage service providers should enhance the security and should continue to improve its PCSS products and optimize the membership price model, enabling free users to use the service by sending them advertisements

    Cloud computing (SaaS) adoption as a strategic technology: results of an empirical study

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    El presente estudio analiza empíricamente los factores que determinan la adopción de cloud computing (modelo SaaS) en empresas donde esta estrategia se considera estratégica para ejecutar su actividad. Se ha desarrollado un modelo de investigación para evaluar los factores que influyen en la intención de usar la computación en la nube que combina las variables encontradas en el modelo de aceptación de tecnología (TAM) con otras variables externas, como el apoyo de la alta gerencia, la capacitación, la comunicación, el tamaño de la organización y la complejidad tecnológica. Los datos compilados de 150 empresas en Andalucía (España) se utilizan para probar las hipótesis formuladas. Los resultados de este estudio reflejan qué factores críticos deben considerarse y cómo están interrelacionados. También muestran las demandas organizacionales que deben ser consideradas por aquellas compañías que desean implementar un modelo de gestión real adoptado para la economía digital, especialmente aquellos relacionados con la computación en la nube.The present study empirically analyzes the factors that determine the adoption of cloud computing (SaaS model) in firms where this strategy is considered strategic for executing their activity. A research model has been developed to evaluate the factors that influence the intention of using cloud computing that combines the variables found in the technology acceptance model (TAM) with other external variables such as top management support, training, communication, organization size, and technological complexity. Data compiled from 150 companies in Andalusia (Spain) are used to test the formulated hypotheses. The results of this study reflect what critical factors should be considered and how they are interrelated. They also show the organizational demands that must be considered by those companies wishing to implement a real management model adopted to the digital economy, especially those related to cloud computing.peerReviewe

    UNDERSTANDING USER PERCEPTIONS AND PREFERENCES FOR MASS-MARKET INFORMATION SYSTEMS – LEVERAGING MARKET RESEARCH TECHNIQUES AND EXAMPLES IN PRIVACY-AWARE DESIGN

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    With cloud and mobile computing, a new category of software products emerges as mass-market information systems (IS) that addresses distributed and heterogeneous end-users. Understanding user requirements and the factors that drive user adoption are crucial for successful design of such systems. IS research has suggested several theories and models to explain user adoption and intentions to use, among them the IS Success Model and the Technology Acceptance Model (TAM). Although these approaches contribute to theoretical understanding of the adoption and use of IS in mass-markets, they are criticized for not being able to drive actionable insights on IS design as they consider the IT artifact as a black-box (i.e., they do not sufficiently address the system internal characteristics). We argue that IS needs to embrace market research techniques to understand and empirically assess user preferences and perceptions in order to integrate the "voice of the customer" in a mass-market scenario. More specifically, conjoint analysis (CA), from market research, can add user preference measurements for designing high-utility IS. CA has gained popularity in IS research, however little guidance is provided for its application in the domain. We aim at supporting the design of mass-market IS by establishing a reliable understanding of consumer’s preferences for multiple factors combing functional, non-functional and economic aspects. The results include a “Framework for Conjoint Analysis Studies in IS” and methodological guidance for applying CA. We apply our findings to the privacy-aware design of mass-market IS and evaluate their implications on user adoption. We contribute to both academia and practice. For academia, we contribute to a more nuanced conceptualization of the IT artifact (i.e., system) through a feature-oriented lens and a preference-based approach. We provide methodological guidelines that support researchers in studying user perceptions and preferences for design variations and extending that to adoption. Moreover, the empirical studies for privacy- aware design contribute to a better understanding of the domain specific applications of CA for IS design and evaluation with a nuanced assessment of user preferences for privacy-preserving features. For practice, we propose guidelines for integrating the voice of the customer for successful IS design. -- Les technologies cloud et mobiles ont fait émerger une nouvelle catégorie de produits informatiques qui s’adressent à des utilisateurs hétérogènes par le biais de systèmes d'information (SI) distribués. Les termes “SI de masse” sont employés pour désigner ces nouveaux systèmes. Une conception réussie de ceux-ci passe par une phase essentielle de compréhension des besoins et des facteurs d'adoption des utilisateurs. Pour ce faire, la recherche en SI suggère plusieurs théories et modèles tels que le “IS Success Model” et le “Technology Acceptance Model”. Bien que ces approches contribuent à la compréhension théorique de l'adoption et de l'utilisation des SI de masse, elles sont critiquées pour ne pas être en mesure de fournir des informations exploitables sur la conception de SI car elles considèrent l'artefact informatique comme une boîte noire. En d’autres termes, ces approches ne traitent pas suffisamment des caractéristiques internes du système. Nous soutenons que la recherche en SI doit adopter des techniques d'étude de marché afin de mieux intégrer les exigences du client (“Voice of Customer”) dans un scénario de marché de masse. Plus précisément, l'analyse conjointe (AC), issue de la recherche sur les consommateurs, peut contribuer au développement de système SI à forte valeur d'usage. Si l’AC a gagné en popularité au sein de la recherche en SI, des recommandations quant à son utilisation dans ce domaine restent rares. Nous entendons soutenir la conception de SI de masse en facilitant une identification fiable des préférences des consommateurs sur de multiples facteurs combinant des aspects fonctionnels, non-fonctionnels et économiques. Les résultats comprennent un “Cadre de référence pour les études d'analyse conjointe en SI” et des recommandations méthodologiques pour l'application de l’AC. Nous avons utilisé ces contributions pour concevoir un SI de masse particulièrement sensible au respect de la vie privée des utilisateurs et nous avons évalué l’impact de nos recherches sur l'adoption de ce système par ses utilisateurs. Ainsi, notre travail contribue tant à la théorie qu’à la pratique des SI. Pour le monde universitaire, nous contribuons en proposant une conceptualisation plus nuancée de l'artefact informatique (c'est-à-dire du système) à travers le prisme des fonctionnalités et par une approche basée sur les préférences utilisateurs. Par ailleurs, les chercheurs peuvent également s'appuyer sur nos directives méthodologiques pour étudier les perceptions et les préférences des utilisateurs pour différentes variations de conception et étendre cela à l'adoption. De plus, nos études empiriques sur la conception d’un SI de masse sensible au respect de la vie privée des utilisateurs contribuent à une meilleure compréhension de l’application des techniques CA dans ce domaine spécifique. Nos études incluent notamment une évaluation nuancée des préférences des utilisateurs sur des fonctionnalités de protection de la vie privée. Pour les praticiens, nous proposons des lignes directrices qui permettent d’intégrer les exigences des clients afin de concevoir un SI réussi

    Why Do People Adopt, or Reject, Smartphone Password Managers?

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    People use weak passwords for a variety of reasons, the most prescient of these being memory load and inconvenience. The motivation to choose weak passwords is even more compelling on Smartphones because entering complex passwords is particularly time consuming and arduous on small devices. Many of the memory- and inconvenience-related issues can be ameliorated by using a password manager app. Such an app can generate, remember and automatically supply passwords to websites and other apps on the phone. Given this potential, it is unfortunate that these applications have not enjoyed widespread adoption. We carried out a study to find out why this was so, to investigate factors that impeded or encouraged password manager adoption. We found that a number of factors mediated during all three phases of adoption: searching, deciding and trialling. The study’s findings will help us to market these tools more effectively in order to encourage future adoption of password managers

    Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical Study

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    The present study empirically analyzes the factors that determine the adoption of cloud computing (SaaS model) in firms where this strategy is considered strategic for executing their activity. A research model has been developed to evaluate the factors that influence the intention of using cloud computing that combines the variables found in the technology acceptance model (TAM) with other external variables such as top management support, training, communication, organization size, and technological complexity. Data compiled from 150 companies in Andalusia (Spain) are used to test the formulated hypotheses. The results of this study reflect what critical factors should be considered and how they are interrelated. They also show the organizational demands that must be considered by those companies wishing to implement a real management model adopted to the digital economy, especially those related to cloud computing
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