1 |
Transaktionellt och transformativt ledarskap : En kvantitativ studie om ledarskapsstilens påverkan på anställdas motivation i arbetet / Transactional and transformative leadership : A quantitative study on the impact of leadership style on employees' work motivationFeretti, Amanda, Folkesson, Elin January 2023 (has links)
Ständig forskning pågår kring begreppet ledarskap i relation med andra viktiga delar som inkluderas i ledarskapet. Tidigare studier har undersökt ledarskapets påverkan på medarbetarnas motivation men resultaten är spretiga och trots omfattande studier tycks forskare inte vara helt överens. Forskningen kring ledarskap har gått från att främst handla om ledaren till att även inkludera följderna av ledarskapet. Det är även grunden för denna studie vars syfte är att förklara hur den transformativa och transaktionella ledarskapsstilen påverkar medarbetarnas motivation i arbetet samt beskriva på vilka sätt medarbetare inom rekryterings- och bemanningsbranschen i Sverige motiveras olika beroende på könstillhörighet. Studien är uppbyggd på en kvantitativ metod där hypoteser är utformade för att besvara studiens forskningsfrågor. Hypoteserna och forskningsfrågorna i studien undersöker ledarskapsstil och motivation indelat i inre och yttre motivation. Enkätundersökningen är utformad i Webbankäter.com och de påståenden som återfinns i enkäten är inspirerade av mätinstrumentet Multifactor Leadership Questionnaire (MLQ). Utöver det är påståendena också formulerade utifrån dimensionerna inom det transformativa och transaktionella ledarskapet samt de ledarskapsbeteenden som återfinns inom respektive dimension. Studiens resultat visar att ledarskapsbeteenden inom det transformativa ledarskapet har en signifikant positiv påverkan på både män och kvinnors motivation, dock motiveras de av olika dimensioner och beteenden. Resultaten gällande det transaktionella ledarskapet visar att det endast är två dimensioner inom ledarskapet som har en signifikant positiv påverkan på män och kvinnors motivation. / Constant research is being conducted on leadership in relation to other important elements that are included in leadership. Previous studies have investigated the impact of leadership on employee motivation but the results are scattered and despite extensive studies, researchers don't seem to be in a complete agreement. Research has gone from primarily focusing on the leader to also including the consequences of leadership. That is also the purpose with this study, that aims to explain how the transformative and transactional leadership style affects employees motivation and describe in what ways employees in the recruitment- and staffing industry in Sweden are motivated differently depending on gender. The study is based on a quantitative method and hypotheses are designed to answer the study’s research questions. The hypotheses and research questions in the study investigate leadership style and motivation divided into intrinsic and extrinsic motivation. The survey is designed in Webbenkäter.com and the statements found in the survey are inspired by the Multifactor Leadership Questionnaire (MLQ). In addition to that, the statements are also formulated based on the dimensions within transformative and transactional leadership and the leadership behaviors found within each dimension. The results of the study shows that the behaviors within the transformative leadership has a significant positive impact on both men and women’s motivation, although they are motivated by different dimensions and behaviors within the transformative leadership. The results regarding transactional leadership shows that only two of the three dimensions has a significant positive impact on men and women’s motivation.
|
2 |
Samspelet mellan människa och maskin : En fallstudie om medarbetares jobbtillfredställelse vid implementering av Artificiell Intelligens i verksamheten / The interaction between humans and machines : A case study on employee job satisfaction during the implementation of artificial intelligence in the workplaceKarpö Gustafsson, Ellen, Yaghi, Julia January 2024 (has links)
Title: The interaction between humans and machines: A case study on employee job satisfaction during the implementation of artificial intelligence in the workplace Background & problem discussion: As companies adopt new technologies, ensuring job satisfaction is a key for smooth transitions. AI revolutionizes work methods by automating tasks, enhancing efficiency, and requiring new skills. However, AI integration raises concerns about its impacts on roles and satisfaction. While boosting productivity and efficiency, AI can displace human tasks, causing fear and resistance to the new technology. Balancing efficiency with maintaining human expertise is vital, as it affects motivation and engagement in the work. Understanding AI’s impact on job satisfaction is essential, as it significantly influences employees overall experience. Purpose: The purpose of the study is to create an understanding of the employees’ job satisfaction when implementing AI technology in the workplace. Method: This study uses a qualitative research method to understand how AI implementation affects employee job satisfaction at Scania in Oskarshamn. The method focuses on gaining in-depth insights from the employees’ perspective through semi-structured interviews and observations. A case study design was chosen to analyze detailed aspects of AI use within the company. To ensure the reliability, trustworthiness and confirmation of the study, a transparent research process was followed with feedback to the participants. Findings & conclusion: The results showed that both intrinsic and extrinsic involvement were important for job satisfaction. Employees with strategic roles saw AI as an opportunity for improvement, while operational employees felt secure in the use of AI. The study emphasized the importance of fostering an inclusive work culture to ensure positive attitudes towards change and sustained job satisfaction. The conclusion provides both a practical and theoretical contribution for understanding job satisfaction when using AI-technology.
|
Page generated in 0.012 seconds