The graphical modelling of processes is of growing popularity and high relevance to organisations that seek to document, analyse and improve their business operations. This research investigates the phenomenon of continued user acceptance of the grammars that are used to build process models. It develops and tests a theory that can be used to explain and predict why users would opt to continue working with certain grammars in their process modelling efforts. This study builds on established theories, including the Technology Acceptance Model, Expectation-Confirmation Theory, Task-Technology Fit Theory and Representation Theory. These theories suggest that end users typically strive for tools that are useful and easy to use, which confirm their expectations through firsthand utility, and which match task requirements and individual abilities. Representation theory suggests that modelling grammars should be complete and clear in their capabilities to represent real-world domains. The research model has been designed by combining conceptual studies of acceptance and continuance theories with a representational analysis of the BPMN grammar, which is a recently ratified industry standard for process modelling and thereby of high practical relevance to process modelling practice. It further incorporates findings from nineteen semi-structured interviews with process modellers in Australia. The research model has been tested and validated by means of a web-based survey with 590 process modellers world-wide. This thesis contributes to the body of knowledge in a number of ways: First, it presents an empirically validated model of the factors determining a user's intention to continue using a process modelling grammar. Second, it measures the impact that grammar characteristics as well as user and task characteristics have on user evaluations of a process modelling grammar. Third, it presents empirical evidence on the consequences that perceived representational deficiencies entail on user perceptions of a process modelling grammar.

Yes / Which antecedents affect the adoption by users is still often a puzzle for policy-makers. Antecedents examined in this research include technological artefacts from the Unified Theory of Acceptance and Use of Technology (UTAUT), consumer context from UTAUT2 and psychological behaviour concepts such as citizens' channel preference and product selection criteria. This research also investigated cultural domination on citizens' behavioural perception. The data for this study was collected among citizens from three countries: USA, Canada, and Bangladesh. The findings suggest that the UTAUT model could partially shape technology artefact behaviour and the extended UTAUT must consider specific determinants relevant to cognitive, affective, and conative or behavioural aspects of citizens. The model helps policy-makers to develop mobile healthcare service system that will be better accepted. The finding also suggests that this mobile service system should reflect a country's cultural traits. These findings basically extend the theoretical concept of UTAUT model to articulate adoption behaviour of any complex and sensitive ICT related issues like mobile healthcare system.

Yes / Purpose: The purpose of this paper is to understand the integrated impact of the application of protection measures against identity theft on consumers’ synergistic perception of trust, the cost of products/services and operational performance (OP) – all of which in turn is postulated to contribute to purchase intention (PI) when shopping online. Design/methodology/approach: In order to accomplish the specified aim, this study first conducted an experiment by involving the students from a university in Bangladesh. Then a survey was conducted to capture their opinion based on the previous experiment. Findings: The study identified that in e-commerce, OP and trust have potential impact on pursuing consumers’ PI. Traditionally, price is always an issue in marketing; however, for e-commerce, this issue does not have direct impact on PI. Research limitations/implications: The main limitation of this study is that a less established e-commerce example was utilized to conduct the experiment and survey for validating the model. Also, the study was conducted only in the context of Bangladesh and a student sample was utilized. Future studies can test the model in different contexts (particularly to verify the impact of privacy) by utilizing data from consumers. Practical implications: This study has resolved a controversial issue by generating clear guidelines that the overall conjoint effect of OP, trust, and price on PI is neither negative nor neutral. Synergistically, the application of these controlling tools of identity theft can substantially enhance consumers’ trust, which is the single most predictor to pursue consumer PI. Originality/value: This study has provided in-depth insight into the impact of different controlling measures in e-commerce PI. Practitioners have potential learning from this study that if consumers find the application of different controlling mechanisms against cybercrimes, particularly identity theft, enhancing the reliability, authenticity and security of transactions in this virtual medium, they do not mind paying a higher price. Such insights have not been provided by existing studies on this topic. Developing trust on e-commerce purchase is the driving force, not the price.