Though patient participation is recognized as an important element of rehabilitation, few studies have used a qualitative lens to specifically examine factors influencing patient-participation in stroke rehabilitation. Thus, the purpose of this work was to explore factors perceived by service users to influence their participation in hospital-based stroke rehabilitation activities and to use this information to generate knowledge relevant for the clinical context of stroke rehabilitation. The following research gaps provided rationale for this work: 1) no published studies from the patients’ perspective on influencers of participating in hospital-based stroke rehabilitation programs, and 2) limited studies about influences on participation in hospital-based stroke rehabilitation. The first manuscript (chapter two) was designed to specifically address these gaps while the second manuscript (chapter three) was developed to highlight important findings surrounding rehabilitation intensity from chapter two. This thesis has discussed a number of patient-perceived barriers and facilitators to participating in stroke rehabilitation, which the final chapter conceptualizes into a framework of personalized rehabilitation representing a patient-centred approach to providing rehabilitation that encourages patient participation. Together, this thesis contributes knowledge about: 1) patient perspectives on factors affecting participation in stroke rehabilitation, 2) promoting patient participation, 3) shortcomings in closing the evidence-to-practice gap with respect to therapy intensity during inpatient stroke rehabilitation, and 4) insights into an exploratory framework of personalized rehabilitation developed from service users’ perspectives of stroke rehabilitation. In addition, this work emphasizes a call to action for the delivery of user-centered stroke care, specifically in regard to rehabilitation intensity during inpatient stroke rehabilitation. The implications of this work are directed at stroke rehabilitation providers as well as policy makers and stroke health system planners in order to develop appropriate and effective services and strategies for optimal recovery and successful implementation of best practice recommendations. / Thesis / Master of Science (MSc) / Rehabilitation is a crucial part of recovery after stroke and patient participation is recognized as an important element of rehabilitation. A less explored perspective is patients’ experiences participating in stroke rehabilitation and barriers/facilitators to participation. This study interviewed individuals who participated in stroke rehabilitation to ask about factors influencing their participation. Eleven individuals were interviewed, and four key themes were identified as barriers and/or facilitators to patient-participation in stroke rehabilitation: 1) environmental factors, 2) components of therapy, 3) physical and emotional well-being, and 4) personal motivators. A sub-theme, amount of therapy, was explored further and this work draws attention to the rehabilitation intensity evidence-to-practice gap apparent as a prevalent issue in Canada and elsewhere. This exploration of patients’ experiences and factors perceived as influencing participation can help to shape the development of strategies to facilitate participation in rehabilitation and improve implementation of existing recommendations to maximize recovery after stroke.

Yes / Research evidence suggests that professional players across a variety of sports may be at greater risk of developing addictions and other mental illnesses than the general population, both during and post-career. In this paper, we report findings from a larger project on the experiences of career transition in UK professional footballers that provide some insight into this. Using an Interpretative Phenomenological approach, four ex-professional footballers who were attending the Sporting Chance Clinic for help with problems concerning alcohol and gambling were interviewed in depth about their experiences. Focussing on issues the players perceived to be relevant to their addictions, the data were analysed thematically, drawing on Van Manen’s phenomenological method, and individual case histories were also produced. The analysis suggested that club culture was key to understanding the players’ difficulties; a harsh, unsupportive psychological environment combined with expectations of manliness resulted in a culture of silence in the face of personal difficulties. Relationships within the culture of pro-football were fraught with anxiety and distrust, leaving the players feeling unable and unwilling to disclose their problems and feeling used and unvalued by their managers. The lack of supportive relationships in their clubs also resulted in loneliness and social withdrawal for the participants. We conclude with a number of recommendations for the governing bodies in professional football, clubs and individual players.

Yes / Innovation is vital to find new solutions to problems, increase quality, and improve profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates new opportunities for innovation. However, none of the existing literature has yet considered the interrelationships between antecedents of innovation through BOLD. This research contributes to knowledge building through utilising interpretive structural modelling to organise nineteen factors linked to innovation using BOLD identified by experts in the field. The findings show that almost all the variables fall within the linkage cluster, thus having high driving and dependence powers, demonstrating the volatility of the process. It was also found that technical infrastructure, data quality, and external pressure form the fundamental foundations for innovation through BOLD. Deriving a framework to encourage and manage innovation through BOLD offers important theoretical and practical contributions.

Yes / Electronic diplomacy (E-diplomacy) is the use of technology by nations to define and establish diplomatic goals and objectives and to efficiently carry out the functions of diplomats. These functions include representation and promotion of the home nation, establishing both bilateral and multilateral relations, consular services and social engagement. It encapsulates the adoption of multiple ICT tools over the Internet to support a nation’s interests in other countries while ensuring that foreign relations are improved between the countries. Given its embryonic nature, little scholarly research has been undertaken to study its influence on diplomatic functions and the various factors that influence its implementation. This paper applies the Interpretative Structural Modelling (ISM) methodological approach to identify factors that impact the implementation of e-diplomacy and to determine their causal relationship and rankings. This study applies the ISM methodology to the subject of e-diplomacy. The ISM-based model provides a framework for practitioners to aid decision-making and manage the implementation of e-diplomacy.

Yes / The social, political and cultural issues faced by organisations and their senior management team in the delivery and adoption of strategic projects, is highly complex and problematic. Despite a mature body of literature, increasing levels of practitioner certification, application of standards and numerous government initiatives, improvements in success have been minimal. In this study, we analyse the key underlying factors surrounding the failure of Information Systems (IS) projects and explore the merits of articulating a narrative that focuses on senior management embracing practical pessimism. Specifically, we develop a hypothesis supported by empirical study that leverages expert’s views on the dominance and interrelationships between failure factors within PRINCE2® project stages using an Interpretive Ranking Process. Our findings establish how the concept of dominance between individual failure factors can necessitate senior management to make key informed and timely decisions that could potentially influence project outcomes based on an empirical derived, interpretive predictive framework.

Yes / The analysis of the root causes of information systems project failure has been the subject of intense scrutiny for some time within industry and the academic community. Researchers have developed various models, notions of failure and categorisations to succinctly classify project failure into a set of key factors for organisations and project managers to focus on in their attempts to avoid failure. This study incorporates a technique titled: interpretive structural modelling as the methodology to formalise the relationships between the selected failure factors. This approach is positioned as a mechanism that can yield greater insights into the relationships between the factors surrounding project failure, thereby developing a better understanding of how these relationships can have a bearing on project outcomes. The findings identify key driving variables that are presented as having significant impact on the other factors within the model. A number of variables are also identified as being heavily dependent on other connected factors highlighting that a failure in one or more of these connected factors is likely to result in a failure in one or more of the dependent factors unless timely steps are taken to address these key issues. This research details a number of practical implications for senior management and project managers as well as the academic community. These considerations form an underlying thread within this study as specific practice-related implications are highlighted and discussed throughout the study.

Yes / This research critically analyzes the Interpretive Ranking Process (IRP) using an illustrative empirically derived IS project failure related case study to articulate a deeper understanding of the method. The findings emphasize the suitability of the method for a number of practical applications, but also highlight the limitations for larger matrix sized problems. The IRP process to derive the dominance between IS project failure factors is judged to be methodical and systematic, enabling the development of clear dominating interactions.

Yes / Blockchain is an emerging technology with a wide array of potential applications. This technology, which underpins cryptocurrency, provides an immutable, decentralised, and transparent distributed database of digital assets for use by firms in supply chains. However, not all firms are appropriately suited to adopt blockchain in the existing supply chain primarily due to their lack of knowledge on the benefits of this technology. Using Total Interpretive Structural Modelling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC), this paper identifies the adoption barriers, examines the interrelationships between them to the adoption of blockchain technology, which has the potential to revolutionise supply chains. The TISM technique supports developing a contextual relationship based structural model to identify the influential barriers. MICMAC classifies the barriers in blockchain adoption based on their strength and dependence. The results of this research indicate that the lack of business awareness and familiarity with blockchain technology on what it can deliver for future supply chains, are the most influential barriers that impede blockchain adoption. These barriers hinder and impact businesses decision to establish a blockchain-enabled supply chain and that other barriers act as secondary and linked variables in the adoption process.

Yes / Purpose – Blockchain is one of the most significant emerging technologies that is set to transform many aspects of industry and society. However, it has several major technical, social, legal, environmental and ethical complexities that offer significant challenges for mainstream use within the public sector. The Covid-19 pandemic has compelled many public sector employees to work remotely, highlighting a number of challenges to blockchain adoption within the Indian context signifying the pertinence of this research topic in the post-pandemic era. This study offers insight to researchers and policymakers alike on how such challenges are interdependent within this important subject. Design/methodology/approach – We explored 16 unique sets of challenges selected from the literature and gathered data from nine experts from government settings, healthcare and education sectors and academia who have significant knowledge and experience of blockchain implementation and use in their respective organisations. The implementation of Interpretive Structural Modelling (ISM) and MICMAC provided a precise set of driving, linkage and dependent challenges that were used to formulate the framework. Findings – The developed ISM framework is split into six different levels. The results suggest that the bottom level consists of challenges such as ‘Lack of standards (C9)’ and ‘Lack of validation (C10)’ form the foundation of the hierarchical structure of blockchain adoption. However, the topmost level consists of a highly dependent challenge termed ‘adoption of blockchain in the public sector (C16)’. The research filters the selected set of five challenges to develop a parsimonious model and formulated six propositions to examine the impact of ‘lack of standard (C9)’, ‘lack of validation (C10)’ on ‘security issues (C3)’ and ‘privacy concerns (C2)’, which eventually determine individuals’ ‘reluctance to use blockchain technology (C12)’. Originality/Value – This research fills a key gap in exiting research by exploring the key challenges in blockchain adoption within the public sector by developing a valuable framework to model this important topic. To the best of our knowledge, this is the first paper to address these challenges and develop a parsimonious model for challenges of blockchain adoption in the public sector settings.

Yes / This study aimed to investigate the relationships between blockchain adoption barriers and identified the salient stakeholders for blockchain adoption in containerized international trade. The interpretative structural modelling and Cross-Impact Matrix Multiplication Applied to Classification analyses indicated that the most impactful among the eight barriers are lack of support from influential stakeholders, lack of understanding regarding blockchain, and lack of government regulations. The stakeholder mapping analysis demonstrated that the high salient stakeholders among 11 legitimate stakeholders are container lines, ports, beneficial cargo owners, freight forwarders/third party logistics, and customs authorities. The study is original and contributes to theory and practice as it uncovers both impactful barriers and critical stakeholders by adopting a stakeholder theory perspective and offers significant implications to practice, policy, and theory by combining these two analyses.