Paderborn, Universität, Habilitation, 2002.

Implementing innovations is a challenging, high-risk task for many organizations. Dr Sawang examines the implementation of various innovations in manufacturing and non-manufacturing contexts. This thesis used the current best practice in structural equation modelling techniques to empirically test the model of implementation effectiveness in both Australian and Thai firms. Commitment from top managers, provision of implementation policies and practices, positive climate and skilful and talented staff enhanced successful implementation. Dr Sawang’s research contributes to a more rigorously tested and comprehensive model of implementation effectiveness.

Innovation is an imperative in all industry sectors. For those such as construction, which are not considered high-tech and which operate as one-off projects, the uptake and diffusion of new innovations into ongoing practice across projects pose particular problems. The nature of these problems faced at a project level needs to be better understood. This thesis is an exploration of innovation implementation in the context of Project-Based Engineering (PBE). It is an empirical investigation of how new planning technologies are implemented in major infrastructure construction projects and the barriers that prevent such implementations from being effective. The findings of this investigation are used to develop and evaluate a new model of innovation implementation in this context. The research design is centred on the immersion of a participant-observer in seven live construction projects over a period of 3.5 years. Each project studied was implementing the same innovation: 4D CAD modelling (3D design model + the construction schedule). A wide cross-section of data was gathered in the field including direct observations, documents and other work products from participation, email and other correspondence associated with the 4D CAD implementations, and formal and informal discussions with project-participants. These data were analysed using content analysis software to find patterns. The research was iterative and involved three phases. The initial phase was a pilot study of implementation in practice using the data from one project. It produced rich descriptions of what transpired and a critical comparison with accounts from the literature. This led to a series of propositions about the influence of project-participant perceptions that were synthesised into a new theoretical model: the initial Perception-Influence model (P-I1 model). The middle research phase then developed this model iteratively using a more-focused data collection and content analysis across four construction project organisations. This was done to provide supporting evidence for the theoretical constructs in the P-I1 model as well as to refine them and add new ones. The outcomes of the middle phase were the P-I2 and P-I3 models. The final research phase analysed the data from the last two project organisations in terms of the P-I model framework with a view to evaluating the model’s theoretical significance and practical applications. The P-I model shows that negative perceptions of value, benefit and usability can cause an innovation implementation to be ineffective as a result of discontinued use or neglect. It provides a map for the progression of an implementation using the perceptions and actions of project-participants as primary constructs. The model proposes that each perception is formed by a number of contributing factors or secondary constructs synthesised from implementation research and user acceptance literature, for example, an opinion or concern about how much an innovation costs (i.e. transaction costs). It also proposes that each perception has both a positive and negative associated action. The constructs that make up the P-I model are grounded in the empirical data. This is because the actions, opinions and concerns of project-participants observed in live projects are evident in project documentation such as emails. These two sources (i.e. observations and project documentation) provide data sets that were used to triangulate inferences about the perceptions of project-participants and the outcome of each 4D CAD implementation (i.e. effective or otherwise). This aspect of the research was not only important for the recommendation of potential applications for the P-I model but also during its conception, development and evaluation. The P-I model is a new and important perspective for both implementation research and PBE practitioners. It helps satisfy the calls for studies of innovation implementation that focus on factors at an individual level and those asking for a better understanding of innovative behaviour. This work shows PBE practitioners how the perceptions of project-participants can have a major impact on the effectiveness of an innovation implementation. The findings provide an evidential basis that can improve implementation effectiveness, especially in PBE organisations. The knowledge built into the P-I model can also assist the planning and execution of innovation implementation strategies, aid in the assessment and redirection of those in progress, and help document lessons learned for implementations within project organisations that have been previously completed. This research uses the P-I model to open the way for future empirical studies of innovation implementation in PBE contexts beyond construction. These would also provide data to further refine the constructs in the model.

Innovation is an imperative in all industry sectors. For those such as construction, which are not considered high-tech and which operate as one-off projects, the uptake and diffusion of new innovations into ongoing practice across projects pose particular problems. The nature of these problems faced at a project level needs to be better understood. This thesis is an exploration of innovation implementation in the context of Project-Based Engineering (PBE). It is an empirical investigation of how new planning technologies are implemented in major infrastructure construction projects and the barriers that prevent such implementations from being effective. The findings of this investigation are used to develop and evaluate a new model of innovation implementation in this context. The research design is centred on the immersion of a participant-observer in seven live construction projects over a period of 3.5 years. Each project studied was implementing the same innovation: 4D CAD modelling (3D design model + the construction schedule). A wide cross-section of data was gathered in the field including direct observations, documents and other work products from participation, email and other correspondence associated with the 4D CAD implementations, and formal and informal discussions with project-participants. These data were analysed using content analysis software to find patterns. The research was iterative and involved three phases. The initial phase was a pilot study of implementation in practice using the data from one project. It produced rich descriptions of what transpired and a critical comparison with accounts from the literature. This led to a series of propositions about the influence of project-participant perceptions that were synthesised into a new theoretical model: the initial Perception-Influence model (P-I1 model). The middle research phase then developed this model iteratively using a more-focused data collection and content analysis across four construction project organisations. This was done to provide supporting evidence for the theoretical constructs in the P-I1 model as well as to refine them and add new ones. The outcomes of the middle phase were the P-I2 and P-I3 models. The final research phase analysed the data from the last two project organisations in terms of the P-I model framework with a view to evaluating the model’s theoretical significance and practical applications. The P-I model shows that negative perceptions of value, benefit and usability can cause an innovation implementation to be ineffective as a result of discontinued use or neglect. It provides a map for the progression of an implementation using the perceptions and actions of project-participants as primary constructs. The model proposes that each perception is formed by a number of contributing factors or secondary constructs synthesised from implementation research and user acceptance literature, for example, an opinion or concern about how much an innovation costs (i.e. transaction costs). It also proposes that each perception has both a positive and negative associated action. The constructs that make up the P-I model are grounded in the empirical data. This is because the actions, opinions and concerns of project-participants observed in live projects are evident in project documentation such as emails. These two sources (i.e. observations and project documentation) provide data sets that were used to triangulate inferences about the perceptions of project-participants and the outcome of each 4D CAD implementation (i.e. effective or otherwise). This aspect of the research was not only important for the recommendation of potential applications for the P-I model but also during its conception, development and evaluation. The P-I model is a new and important perspective for both implementation research and PBE practitioners. It helps satisfy the calls for studies of innovation implementation that focus on factors at an individual level and those asking for a better understanding of innovative behaviour. This work shows PBE practitioners how the perceptions of project-participants can have a major impact on the effectiveness of an innovation implementation. The findings provide an evidential basis that can improve implementation effectiveness, especially in PBE organisations. The knowledge built into the P-I model can also assist the planning and execution of innovation implementation strategies, aid in the assessment and redirection of those in progress, and help document lessons learned for implementations within project organisations that have been previously completed. This research uses the P-I model to open the way for future empirical studies of innovation implementation in PBE contexts beyond construction. These would also provide data to further refine the constructs in the model.

Innovation is an imperative in all industry sectors. For those such as construction, which are not considered high-tech and which operate as one-off projects, the uptake and diffusion of new innovations into ongoing practice across projects pose particular problems. The nature of these problems faced at a project level needs to be better understood. This thesis is an exploration of innovation implementation in the context of Project-Based Engineering (PBE). It is an empirical investigation of how new planning technologies are implemented in major infrastructure construction projects and the barriers that prevent such implementations from being effective. The findings of this investigation are used to develop and evaluate a new model of innovation implementation in this context. The research design is centred on the immersion of a participant-observer in seven live construction projects over a period of 3.5 years. Each project studied was implementing the same innovation: 4D CAD modelling (3D design model + the construction schedule). A wide cross-section of data was gathered in the field including direct observations, documents and other work products from participation, email and other correspondence associated with the 4D CAD implementations, and formal and informal discussions with project-participants. These data were analysed using content analysis software to find patterns. The research was iterative and involved three phases. The initial phase was a pilot study of implementation in practice using the data from one project. It produced rich descriptions of what transpired and a critical comparison with accounts from the literature. This led to a series of propositions about the influence of project-participant perceptions that were synthesised into a new theoretical model: the initial Perception-Influence model (P-I1 model). The middle research phase then developed this model iteratively using a more-focused data collection and content analysis across four construction project organisations. This was done to provide supporting evidence for the theoretical constructs in the P-I1 model as well as to refine them and add new ones. The outcomes of the middle phase were the P-I2 and P-I3 models. The final research phase analysed the data from the last two project organisations in terms of the P-I model framework with a view to evaluating the model’s theoretical significance and practical applications. The P-I model shows that negative perceptions of value, benefit and usability can cause an innovation implementation to be ineffective as a result of discontinued use or neglect. It provides a map for the progression of an implementation using the perceptions and actions of project-participants as primary constructs. The model proposes that each perception is formed by a number of contributing factors or secondary constructs synthesised from implementation research and user acceptance literature, for example, an opinion or concern about how much an innovation costs (i.e. transaction costs). It also proposes that each perception has both a positive and negative associated action. The constructs that make up the P-I model are grounded in the empirical data. This is because the actions, opinions and concerns of project-participants observed in live projects are evident in project documentation such as emails. These two sources (i.e. observations and project documentation) provide data sets that were used to triangulate inferences about the perceptions of project-participants and the outcome of each 4D CAD implementation (i.e. effective or otherwise). This aspect of the research was not only important for the recommendation of potential applications for the P-I model but also during its conception, development and evaluation. The P-I model is a new and important perspective for both implementation research and PBE practitioners. It helps satisfy the calls for studies of innovation implementation that focus on factors at an individual level and those asking for a better understanding of innovative behaviour. This work shows PBE practitioners how the perceptions of project-participants can have a major impact on the effectiveness of an innovation implementation. The findings provide an evidential basis that can improve implementation effectiveness, especially in PBE organisations. The knowledge built into the P-I model can also assist the planning and execution of innovation implementation strategies, aid in the assessment and redirection of those in progress, and help document lessons learned for implementations within project organisations that have been previously completed. This research uses the P-I model to open the way for future empirical studies of innovation implementation in PBE contexts beyond construction. These would also provide data to further refine the constructs in the model.

Innovation is an imperative in all industry sectors. For those such as construction, which are not considered high-tech and which operate as one-off projects, the uptake and diffusion of new innovations into ongoing practice across projects pose particular problems. The nature of these problems faced at a project level needs to be better understood. This thesis is an exploration of innovation implementation in the context of Project-Based Engineering (PBE). It is an empirical investigation of how new planning technologies are implemented in major infrastructure construction projects and the barriers that prevent such implementations from being effective. The findings of this investigation are used to develop and evaluate a new model of innovation implementation in this context. The research design is centred on the immersion of a participant-observer in seven live construction projects over a period of 3.5 years. Each project studied was implementing the same innovation: 4D CAD modelling (3D design model + the construction schedule). A wide cross-section of data was gathered in the field including direct observations, documents and other work products from participation, email and other correspondence associated with the 4D CAD implementations, and formal and informal discussions with project-participants. These data were analysed using content analysis software to find patterns. The research was iterative and involved three phases. The initial phase was a pilot study of implementation in practice using the data from one project. It produced rich descriptions of what transpired and a critical comparison with accounts from the literature. This led to a series of propositions about the influence of project-participant perceptions that were synthesised into a new theoretical model: the initial Perception-Influence model (P-I1 model). The middle research phase then developed this model iteratively using a more-focused data collection and content analysis across four construction project organisations. This was done to provide supporting evidence for the theoretical constructs in the P-I1 model as well as to refine them and add new ones. The outcomes of the middle phase were the P-I2 and P-I3 models. The final research phase analysed the data from the last two project organisations in terms of the P-I model framework with a view to evaluating the model’s theoretical significance and practical applications. The P-I model shows that negative perceptions of value, benefit and usability can cause an innovation implementation to be ineffective as a result of discontinued use or neglect. It provides a map for the progression of an implementation using the perceptions and actions of project-participants as primary constructs. The model proposes that each perception is formed by a number of contributing factors or secondary constructs synthesised from implementation research and user acceptance literature, for example, an opinion or concern about how much an innovation costs (i.e. transaction costs). It also proposes that each perception has both a positive and negative associated action. The constructs that make up the P-I model are grounded in the empirical data. This is because the actions, opinions and concerns of project-participants observed in live projects are evident in project documentation such as emails. These two sources (i.e. observations and project documentation) provide data sets that were used to triangulate inferences about the perceptions of project-participants and the outcome of each 4D CAD implementation (i.e. effective or otherwise). This aspect of the research was not only important for the recommendation of potential applications for the P-I model but also during its conception, development and evaluation. The P-I model is a new and important perspective for both implementation research and PBE practitioners. It helps satisfy the calls for studies of innovation implementation that focus on factors at an individual level and those asking for a better understanding of innovative behaviour. This work shows PBE practitioners how the perceptions of project-participants can have a major impact on the effectiveness of an innovation implementation. The findings provide an evidential basis that can improve implementation effectiveness, especially in PBE organisations. The knowledge built into the P-I model can also assist the planning and execution of innovation implementation strategies, aid in the assessment and redirection of those in progress, and help document lessons learned for implementations within project organisations that have been previously completed. This research uses the P-I model to open the way for future empirical studies of innovation implementation in PBE contexts beyond construction. These would also provide data to further refine the constructs in the model.

Innovation is an imperative in all industry sectors. For those such as construction, which are not considered high-tech and which operate as one-off projects, the uptake and diffusion of new innovations into ongoing practice across projects pose particular problems. The nature of these problems faced at a project level needs to be better understood. This thesis is an exploration of innovation implementation in the context of Project-Based Engineering (PBE). It is an empirical investigation of how new planning technologies are implemented in major infrastructure construction projects and the barriers that prevent such implementations from being effective. The findings of this investigation are used to develop and evaluate a new model of innovation implementation in this context. The research design is centred on the immersion of a participant-observer in seven live construction projects over a period of 3.5 years. Each project studied was implementing the same innovation: 4D CAD modelling (3D design model + the construction schedule). A wide cross-section of data was gathered in the field including direct observations, documents and other work products from participation, email and other correspondence associated with the 4D CAD implementations, and formal and informal discussions with project-participants. These data were analysed using content analysis software to find patterns. The research was iterative and involved three phases. The initial phase was a pilot study of implementation in practice using the data from one project. It produced rich descriptions of what transpired and a critical comparison with accounts from the literature. This led to a series of propositions about the influence of project-participant perceptions that were synthesised into a new theoretical model: the initial Perception-Influence model (P-I1 model). The middle research phase then developed this model iteratively using a more-focused data collection and content analysis across four construction project organisations. This was done to provide supporting evidence for the theoretical constructs in the P-I1 model as well as to refine them and add new ones. The outcomes of the middle phase were the P-I2 and P-I3 models. The final research phase analysed the data from the last two project organisations in terms of the P-I model framework with a view to evaluating the model’s theoretical significance and practical applications. The P-I model shows that negative perceptions of value, benefit and usability can cause an innovation implementation to be ineffective as a result of discontinued use or neglect. It provides a map for the progression of an implementation using the perceptions and actions of project-participants as primary constructs. The model proposes that each perception is formed by a number of contributing factors or secondary constructs synthesised from implementation research and user acceptance literature, for example, an opinion or concern about how much an innovation costs (i.e. transaction costs). It also proposes that each perception has both a positive and negative associated action. The constructs that make up the P-I model are grounded in the empirical data. This is because the actions, opinions and concerns of project-participants observed in live projects are evident in project documentation such as emails. These two sources (i.e. observations and project documentation) provide data sets that were used to triangulate inferences about the perceptions of project-participants and the outcome of each 4D CAD implementation (i.e. effective or otherwise). This aspect of the research was not only important for the recommendation of potential applications for the P-I model but also during its conception, development and evaluation. The P-I model is a new and important perspective for both implementation research and PBE practitioners. It helps satisfy the calls for studies of innovation implementation that focus on factors at an individual level and those asking for a better understanding of innovative behaviour. This work shows PBE practitioners how the perceptions of project-participants can have a major impact on the effectiveness of an innovation implementation. The findings provide an evidential basis that can improve implementation effectiveness, especially in PBE organisations. The knowledge built into the P-I model can also assist the planning and execution of innovation implementation strategies, aid in the assessment and redirection of those in progress, and help document lessons learned for implementations within project organisations that have been previously completed. This research uses the P-I model to open the way for future empirical studies of innovation implementation in PBE contexts beyond construction. These would also provide data to further refine the constructs in the model.

Yes / Implementation and uptake of novel and cost-effective medicines can improve patient health outcomes and healthcare efficiency. However, the uptake of new medicines into practice faces a wide range of obstacles. Earlier reviews provided insights into determinants for new medicine uptake (such as medicine, prescriber, patient, organization, and external environment factors). However, the methodological approaches used had limitations (e.g., single author, narrative review, narrow search, no quality assessment of reviewed evidence). This systematic review aims to identify barriers and facilitators affecting the uptake of new medicines into clinical practice and identify areas for future research. A systematic search of literature was undertaken within seven databases: Medline, EMBASE, Web of Science, CINAHL, Cochrane Library, SCOPUS, and PsychINFO. Included in the review were qualitative, quantitative, and mixed-methods studies focused on adult participants (18 years and older) requiring or taking new medicine(s) for any condition, in the context of healthcare organizations and which identified factors affecting the uptake of new medicines. The methodological quality was assessed using QATSDD tool. A narrative synthesis of reported factors was conducted using framework analysis and a conceptual framework was utilised to group them. A total of 66 studies were included. Most studies (n = 62) were quantitative and used secondary data (n = 46) from various databases, e.g., insurance databases. The identified factors had a varied impact on the uptake of the different studied new medicines. Differently from earlier reviews, patient factors (patient education, engagement with treatment, therapy preferences), cost of new medicine, reimbursement and formulary conditions, and guidelines were suggested to influence the uptake. Also, the review highlighted that health economics, wider organizational factors, and underlying behaviours of adopters were not or under explored. This systematic review has identified a broad range of factors affecting the uptake of new medicines within healthcare organizations, which were grouped into patient, prescriber, medicine, organizational, and external environment factors. This systematic review also identifies additional factors affecting new medicine use not reported in earlier reviews, which included patient influence and education level, cost of new medicines, formulary and reimbursement restrictions, and guidelines. PROSPERO database (CRD42018108536). / This work presents research funded by the Pharmacy Research UK (grant reference: PRUK-2018-GA-1-KM) and Leeds Teaching Hospitals NHS Trust.

The history of management practice is filled with innovations that failed to live up to the promise suggested by their early success. A paradox facing organization theory is that the failure of these innovations often cannot be attributed to an intrinsic lack of efficacy. To resolve this paradox, in this paper I study the process of innovation implementation. Working from existing theoretical frameworks, I synthesize a model that describes the process through which participants in an organization develop commitment to using a newly adopted innovation. I then translate that framework into a formal model and analyze it using computer simulation. The analysis suggests three new constructs—reversion, regeneration and the motivation threshold—characterizing the dynamics of implementation. Taken together, these constructs offer an alternative explanation for the paradox of innovations that produce early results but fail to find a permanent home in the organizations that adopt them.

Today’s organizations struggle to remain competitive within the contemporary turbulent business environment and are therefore demanded to develop and implement new working processes. Organizations, although striving for innovation, frequently fail to fully benefit from them due to implementation failures. An often-disregarded issue is the entanglement of emotions during this phase. Thus, this thesis aims to investigate how innovation implementation is related to emotions, addressing it towards the team’s working climate and leader’s emotional intelligence. For this purpose, we employ a conceptual research approach to build an integrated conceptual model that, by proposing hypotheses and propositions, may serve as a starting point for future empirical studies. With this model, we suggest that leaders with higher levels of emotional intelligence, by the mindful management of emotions, can consciously influence the emotional contagion process and therefore affect the team climate. By establishing a climate for innovation characterized by a team vision, participative safety, task orientation and support for innovation, emotionally intelligent leaders can thus positively influence innovation implementation. The thesis does thereby contribute to an understanding of the factors that affect innovation implementation within teams.