Doktoravhandlinger ved NTNU

The objective of this thesis is two-fold: (1) to study potential factors which influence users’ adoption of mobile services, and (2) to study important factors to construct a business process support system in a mobile setting. Consequently, this thesis consists of the following two research artifacts. Research artifact one is a mobile service acceptance model (MSAM) to access the adoption of mobile services. Research artifact two is a conceptual modeling language, called business process characterizing model (BPCM), which aims to support business process support system construction in a mobile setting. These two research artifacts are closely related. As described in the V-model, system requirements analysis and system acceptance are closely associated with each other. A business process support system in a specific domain in a mobile setting can be regarded as an advanced mobile system or service. Therefore, a good analysis of the system requirements and characteristics of the business processes involved in the domain in terms of BPCM is a key to the success of the adoption of the developed mobile system. Vice versa, some key factors which may influence the adoption of mobile system can also be taken into consideration when analyzing system requirements and characterizing relevant business processes at a high level. The MSAM is an extension of the Technology Acceptance Model (TAM), with a consideration of Trust, Context, and Personal Initiatives and Characteristics factors in addition to Perceived Ease of Use and Perceived Usefulness, to study the user adoption of mobile services. In addition, seven research hypotheses based on the research model were developed. Furthermore, in order to operationalize the research model, a survey instrument for measuring the adoption of mobile services was developed using the following steps: (1). Item Creation, (2). Item Refinement, (3). Item Testing. Based on 22 measurement items that were retained, the proposed research model was empirically tested using data collected from a questionnaire of 46 users of a mobile service called eMSIS. The findings revealed that Perceived Initiatives and Characteristics, Trust, Perceived Usefulness and Perceived Ease of Use are key determinants for the users to adopt the mobile service. Context via Perceived Usefulness and Perceived Ease of Use has an indirect effect on Intention to Use. The results indicated that the fitness of the research model was good and the seven research hypoth