Once You Have Identified Your Problem And Selected A Theory ✓ Solved

Once You Have Identified Your Problem And Selected A Theoretical

Once you have identified your problem and selected a theoretical basis to gather data to examine your problem, your research questions will follow. In this discussion, discuss the theory or model you have selected and begin to write down what you believe your research questions should look like. To help you get started in your model or theory chosen, you can locate an article or dissertation that has used that model or theory and examine how they developed those researchers developed their research questions.

Paper For Above Instructions

Data protection and information sharing in cloud computing is a crucial area of research as organizations increasingly rely on cloud services to manage and store sensitive data. The rapid adoption of cloud technology has raised significant concerns about data security, privacy, and the ethical sharing of information. This paper aims to identify a suitable theoretical basis for examining these issues and formulate relevant research questions that can guide future studies in this domain.

Theoretical Basis for the Research

For this discussion, the Technology Acceptance Model (TAM) will serve as the theoretical basis for examining data protection and information sharing in cloud computing. Developed by Davis (1989), TAM is a widely used framework that helps understand how users come to accept and use technology. The model posits that perceived ease of use and perceived usefulness significantly influence users' attitudes toward technology, which ultimately affects their intention to use it. Applying TAM to the context of cloud computing allows researchers to analyze the factors that affect users' acceptance of data protection measures and information sharing practices.

Importance of the Technology Acceptance Model

The reason for selecting TAM is its effectiveness in assessing user behavior concerning technology. Given that organizations are often hesitant to fully embrace cloud services due to various risks, understanding user perceptions can play a critical role in addressing their concerns. For example, if employees perceive cloud services as easy to use and beneficial for sharing information securely, they may be more likely to adopt such technologies (Venkatesh & Davis, 2000). Additionally, TAM can be complemented by other theoretical frameworks, like the Diffusion of Innovations theory, to provide a more holistic understanding of cloud technology acceptance.

Formulating Research Questions

Based on the Technology Acceptance Model, several research questions can be formulated to guide the investigation of data protection and information sharing in cloud environments. These questions aim to address users' concerns and the factors influencing their acceptance of cloud services. Here are some proposed research questions:

• What are the perceived ease of use and perceived usefulness of cloud services among employees in different industries?
• How do organizational policies affect user attitudes toward data protection in cloud computing?
• What role does trust play in influencing users’ willingness to share information in cloud environments?
• How do demographic factors (e.g., age, education, technological proficiency) influence perceptions of data protection in the cloud?
• What are the main concerns employees have regarding data security in cloud storage solutions?
• How do perceived risks of cloud technology impact the intention to use data protection measures?
• What features of cloud services contribute to users' perceptions of security and privacy?
• To what extent do training and awareness programs improve the perceived ease of use of data protection tools in the cloud?
• What impact does regulatory compliance (such as GDPR) have on users’ acceptance of cloud services for data sharing?
• How can organizations foster a culture of trust to enhance data sharing in the cloud?

Reviewing Existing Literature

To further develop these research questions, it is beneficial to review existing literature where similar models or theories have been applied. For instance, research by Alhassan et al. (2020) used TAM to explore the factors affecting the adoption of cloud computing in small and medium enterprises. Their study highlighted trust and perceived usefulness as significant predictors of technology acceptance, leading to specific recommendations for enhancing user engagement with cloud services.

Another relevant study by Warkentin et al. (2016) investigated the influence of perceived risks on cloud computing adoption. Their findings emphasize the critical need for organizations to address security and privacy concerns to enhance user acceptance, aligning with the first few proposed research questions focusing on perceived risks and user attitudes.

Concluding Thoughts

In conclusion, employing the Technology Acceptance Model as a theoretical framework provides valuable insights into understanding data protection and information sharing in cloud environments. The proposed research questions offer a solid foundation for future studies aimed at enhancing user acceptance and addressing data security concerns. By investigating these questions, researchers can contribute to the development of strategies that promote the secure and effective use of cloud computing technologies.

References

• Alhassan, I., Adam, A. M., & Abubakar, A. (2020). Technological factors influencing the acceptance of cloud computing by small and medium enterprises. Information Development, 36(4), 463-474.
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186-204.
• Warkentin, M., Jansen, B. J., & Wende, E. (2016). The role of perceived risks in the acceptance of cloud computing. Computers in Human Behavior, 65, 491-500.
• Vithayathawornwong, S. (2021). Security and privacy issues in cloud computing: A research agenda and survey. Computers & Security, 113, 102530.
• Cheng, L., & Xie, Y. (2019). An empirical study of user acceptance of cloud storage services: An integration of TAM and trust models. Journal of Cloud Computing: Advances, Systems and Applications, 8(1), 1-12.
• Lee, J., & Kim, S. (2020). Security concerns and user acceptance of cloud services: The role of organizational culture. Information Systems Management, 37(3), 245-258.
• Jakobsen, M. L., & Ghosh, R. (2021). Increasing user acceptance for cloud services through privacy impact assessments: A TAM-based proposal. Information Technology & Management, 22(4), 219-230.
• Stantchev, V., & Santiago, F. (2022). Factors affecting user acceptance of cloud computing: A systematic literature review. Computers and Security, 116, 102613.
• Albar, M. A., & Schumann, H. (2020). Exploring factors influencing users' cloud computing adoption: A Technology Acceptance Model perspective. Journal of Strategic and International Studies, 15(2), 15-30.