Journal of Software Engineering and Applications

Volume 16, Issue 12 (December 2023)

ISSN Print: 1945-3116   ISSN Online: 1945-3124

Google-based Impact Factor: 1.22  Citations  h5-index & Ranking

Humanizing the Culture of Technology Teams: Strategies for Creating Healthier and More Productive Work Environments

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DOI: 10.4236/jsea.2023.1612033    98 Downloads   450 Views  

ABSTRACT

With the advancement of technology, companies are increasingly dependent on technology teams to stay competitive. However, members of these teams often work in stressful and unhealthy environments, which can undermine their productivity and well-being. The humanization of the culture of technology teams is an approach that aims to create healthier and more productive work environments for team members, promoting balance between personal and professional life. Despite the importance of a healthy and productive work environment, many companies do not invest in strategies to humanize the culture of their technology teams. This can lead to high levels of stress, staff turnover and low productivity. The objective of this project is to identify effective strategies to humanize the culture of technology teams and create healthier and more productive work environments in digital companies. For this, factors such as management styles, psychological safety, human-centered development, individual beliefs and time and energy management will be analyzed. The project’s methodology will include a literature review on the subject and qualitative data analysis will be performed using a content analysis approach. This project will contribute to the advancement of knowledge about the humanization of the culture of technology teams in digital companies. The results can be applied to companies that want to create healthier and more productive work environments for their team members.

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Salina, J. (2023) Humanizing the Culture of Technology Teams: Strategies for Creating Healthier and More Productive Work Environments. Journal of Software Engineering and Applications, 16, 641-671. doi: 10.4236/jsea.2023.1612033.

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