Author:
Abstract
Automation has had a significant impact on the sweet industry in recent years. One way in which automation has affected the sweet industry is through the development of advanced production technologies and techniques. Another way in which automation has affected the sweet industry is through the use of data analytics and machine learning to optimize production processes and improve the quality of sweets and minimize the level of defects. Automation has also impacted the sweet industry by enabling the development of advanced logistics systems that can help improve the efficiency and speed of distribution. For example, automation has been used to develop advanced transportation systems that can help to reduce the time and cost of delivering sweets to customers (Ritson, 2017). Automation has also been used to develop advanced warehouse management systems that can help to optimize the storage and handling of sweets, reducing waste and increasing efficiency (Goyal & Sharma, 2018).
This paper presents a better understanding of the effect of Automation on job performance elements and job security for better-managing employees’ job security and performance in the sweet sector.
This research assists businesses in general and sweet organizations in particular in understanding the influence of Automation on employee job security and job performance elements and therefore managing better employees in the workplace, which will significantly assist in improving ideal work conditions. The study highlights the importance of understanding the impact of automation on job security and job performance in the context of the sweet industry. The results suggest that automation can positively and negatively affect these factors, and organizations should carefully consider the potential impacts when implementing automation technologies.
Future studies can concentrate on organizational and operational performance. Moreover, further research may investigate the impact of the mediation of organization policies and practices.
Keywords
Abstract
Automation has had a significant impact on the sweet industry in recent years. One way in which automation has affected the sweet industry is through the development of advanced production technologies and techniques. Another way in which automation has affected the sweet industry is through the use of data analytics and machine learning to optimize production processes and improve the quality of sweets and minimize the level of defects. Automation has also impacted the sweet industry by enabling the development of advanced logistics systems that can help improve the efficiency and speed of distribution. For example, automation has been used to develop advanced transportation systems that can help to reduce the time and cost of delivering sweets to customers (Ritson, 2017). Automation has also been used to develop advanced warehouse management systems that can help to optimize the storage and handling of sweets, reducing waste and increasing efficiency (Goyal & Sharma, 2018).
This paper presents a better understanding of the effect of Automation on job performance elements and job security for better-managing employees’ job security and performance in the sweet sector.
This research assists businesses in general and sweet organizations in particular in understanding the influence of Automation on employee job security and job performance elements and therefore managing better employees in the workplace, which will significantly assist in improving ideal work conditions. The study highlights the importance of understanding the impact of automation on job security and job performance in the context of the sweet industry. The results suggest that automation can positively and negatively affect these factors, and organizations should carefully consider the potential impacts when implementing automation technologies.
Future studies can concentrate on organizational and operational performance. Moreover, further research may investigate the impact of the mediation of organization policies and practices.