Transformative change and its impact on organizational behavior
- Transformational changes within the external and internal environments impact how people behave with each other in organizational structures, technology, and systems.
- Advanced organizational behavior is a symptom of transformative change due to the fact that moving the people to behave in a certain way both at the personal and team level is a shift to new directions indicative of change.
- Transformative change entails driving adoption of the new corporate practices.
- How people behave in an organization helps promote the need for change in an organization.
- Organizations ought to be mindful of group dynamics as the tension created by these teams can lead to harmful organizational norms as symptoms of transformative change.
The fourth industrial revolution and employee burnout
- The Fourth Industrial Revolution comes with advances in technology and innovation that are changing the globe and yielding transformations in the world we work in.
The primary technology types in industry 4.0
- cloud and mobile computing,
- machine learning,
- advanced robotics and sensors,
- intelligent manufacturing
Organizations are adapting to the changing external environment by:
- Adopting technologies to increase efficiency.
- The technologies changes how people work and, in turn, leads to a lack of autonomy and changes in the needed skills.
While the fourth industrial revolution presents lots of opportunities, its unfamiliarity negatively impacts employees, leading to an increased rate of burnout among employees. Employee burnout falls into three dimensions:
- The overwhelming exhaustion due to too much work,
- feelings of cynicism
- Detachment from work, ineffectiveness, and lack of accomplishments at the job setting.
Influence of industry 4.0 on employee burnout
- The age of digital technologies, automation, machine learning, and the Internet of Things has brought excessive work demands, creating psychological exhaustion for employees and increasing the rate of employee burnout.
- Notably, the introduction of innovative systems in places of work can result in a lack of autonomy and skills, which in turn lead to stress, demotivation, and emotional exhaustion and, in the long run, cause employee burnout.
- Machine learning and automation have increased employee engagement, as these technologies require skills and expertise.
- The lack of engagement causes employee detachment, ineffectiveness, and a sense of lack of accomplishment, which translates to employee burnout.