The purpose of this study was to assess the relationships between family/home satisfaction and job satisfaction of single working mothers with at least one child under the age of 18 living at home. The principal objectives were to identify the stressful situations in the lives of working single mothers and the factors that contributed to home satisfaction and work satisfaction. Data were gathered by survey questionnaire from single working mothers presently living in Iron County, Utah. Factor analysis was used to reduce data into home satisfaction and work satisfaction factors that were analyzed by multiple regression to determine the variance they explain. Stepwise multiple regression identified 1) family interaction, 2) income, housing, and health, and 3) family diet and money management as the home and family factors that predict satisfaction with home life. This multiple regression identified 1) family interaction, 2) time commitments, 3) income, housing, and health, 4) family and community support, and 5) family diet and money management as the home and family factors that can predict satisfaction with work. The work factors that can predict home life satisfaction were found to be 1) work schedule, 2) work environment, and 3 ) salary and advancement. Work factors that predict satisfaction with work were 1) breaks and control, 2) schedule and salary, and 3) commuting and friends at work. Working single mothers identified single parenting, financial problems, major changes in work or family, and problems with children as the situations causing stress in their lives. A statistically significant relationship was found with income and 1) education, 2) perception of enough income, 3) satisfaction with home life, and 4) work satisfaction.

Chatbots are becoming increasingly common within both private and public sectors as they are implemented for organizations to provide service at any time. Within related research on the topic, the focus lies on the private sector and chatbot users, while the research on how chatbot implementation may affect the employees within the public sector is lacking. The focus of this thesis is therefore to provide more information about chatbot implementation within the public sector. More specifically, to understand how the employees expect and experience that the implementation of chatbots can affect them in their work and ways to communicate information.  In this study, eight semi-structured interviews with a duration of one hour each were conducted, where the interviewees were employees in municipalities and universities who are working with chatbot implementation. The results show that the interviewees expect that there will be a decreased workload and increased time to work on more complex tasks. However, the time that is liberated because of the chatbot needs to be reinvested into its upkeep, and the interviewees experience that new tasks are added to fill that time, indicating that their expectations are unfulfilled.  The results also show that the interviewees expect the chatbot to increase their availability and that it will be a new, less formal way to communicate information. It is experienced that people can contact them any time through the chatbot. They experience that the chatbot uses a simple language to communicate information and that it presents information like it would be presented by a human.