The aim of this thesis is to investigate the influencers and consequences of organisational commitment (OC) within the context of the Sheffield City Region and mid-sized business. The existing literature on OC is almost wholeheartedly dedicated to investigating which type of commitment an employee will experience during their work. Ghosh and Swamy (2014) and Singh and Gupta (2008) considered this to be a weakness of commitment research as it has failed to explain what influences commitment, and its associated consequences. Meyer and Allen's (1991) three component model (TCM) is often used as a framework, and allows researchers to investigate to what extent employees are committed, and which of the three styles of commitment they experience: 'affective' and in line with organisational goals; 'continuous' and trapped through a lack of alternatives; or 'normative' and remaining through loyalty. However, what is missing from existing research is an investigation into the influencing factors of OC and the consequences of having committed employees in the same way that Meyer and Allen (1991, p.71) said 'would require further attention.' Essentially asking, why are employees are committed? Finally, it is noteworthy that OC theory has generally been developed in North-America's public sector and seldom tested in the United Kingdom and with smaller private organisations, a gap filled by this PhD study.

This case study takes the reader through the multiple methods approach that was adopted for the research project "Influencers and Consequences of Organisational Commitment Within Sheffield City Region's mid-sized businesses." Quantitative (questionnaires) and qualitative (semi-structured, one-on-one interviews) were combined to answer the research question. The questionnaire was developed from an existing tool to measure organizational commitment, and the interviews were designed to dig deeper into the topic of commitment. The limitations and benefits of each approach are explored and the process of combining two styles of data is also considered. Learning Outcomes