Synthetic biology applied in the agri-food sector: Understanding societal responses

Ph.D. Thesis.Synthetic biology (SB) has the potential to deliver various novel agri-food applications. However, a mapping review of the existing literature on public attitudes indicated that agri-food applications may be less acceptable to the public, compared to medical and environmental applications. Research into public attitudes, at present, is limited, and is mainly focused on SB per se rather than on its specific applications. This research seeks to address this knowledge gap. As scientific experts in the area of SB contribute to innovation trajectories and regulatory frameworks linked to SB, semi-structured interviews were conducted to understand how Chinese (n = 9) and EU experts (n = 13) think the public may respond to SB applications. The results suggested that experts were concerned about public rejection of SB in the agri-food sector. In contrast, according to the focus group research (6 groups) among Chinese citizens (n = 32), most participants evaluated SB agri-food applications on a case-by-case analysis, and did not reject SB as an enabling technology. Subsequently, online surveys were conducted to investigate Chinese public responses to genetically modified (GM) (n = 1,411) and SB-based (n = 1,330) agri-food applications, respectively. The results showed that participants had positive general attitudes towards SB food, despite the influence of their prior beliefs about GM food. A framework that explained public attitude formation towards SB agri-food applications was developed and tested using structural equation modelling. The results demonstrated that benefit perceptions were the most important in predicting participants’ application acceptance compared to general attitudes, affective responses and risk perceptions. Future SB-related agri-food policy- and communication strategy-making, as well as application development, should consider public attitudinal differences across applications and contexts. Co-production of applications and polices with the public was identified as an important part of the technological innovation process

An analysis of public perception towards consuming genetically modified crops and the acceptance of modern agricultural biotechnology: a South African case study

Text in EnglishSouth Africa is one of the biggest producers of genetically modified crops in the world. However, recent studies in South Africa show a low public willingness to consume genetically modified crops and accept modern agricultural biotechnology. The study analysed public perception towards consuming genetically modified crops and the acceptance of modern agricultural biotechnology in South Africa. 220 participants (N = 220) were sampled from the city of Kempton Park and the Chi-square formula was used to determine how well the sample represented the population under study. Data was collected using a 7-point Likert scale questionnaire designed following the guidelines for developing a theory of planned behaviour questionnaire in Ajzen (1991, 2001). Data analyses were carried out using the Statistical Package for Social Sciences (SPSS). The Cronbach’s alpha and Exploratory Factor Analysis were both used to determine the internal consistency and validity of the questionnaire. Correlations, independent sample t-tests, ANOVA, linear regression, and path analysis were also conducted. Findings of the study confirmed that there is low public willingness to consume genetically modified crops and to accept modern agricultural biotechnology in South Africa.Development StudiesM.A. (Development Studies

Developing a Behavioural Model for Predicting Public Attitudes towards the Use of Unmanned Aerial Systems

This research aimed at developing a conceptual model for predicting public attitudes towards unmanned aircraft and the intention to purchase. Based on technology acceptance theory and risk theory, the influence of perceived benefit, perceived risk and perceived control, has been examined. Research findings, based on PLS-SEM analyses, revealed that perceived benefit has an effect on attitudes and intention. Additionally, perceived risk influenced attitudes, whereas perceived control had no effect on both constructs

The Influence of Trust and subjective Norms on Citizens’ Intentions to Engage in E-participation on E-government Websites

Advancements in web technology have revolutionised the way citizens interact with governments. Unlike traditional methods of communication between citizens and governments, e-participation via e-government websites enhances communication and enables citizens to become actively involved in the policy-making process. Despite the growing importance of e-participation, the potential factors influencing citizens’ engagement in e-participation have not yet been investigated. Using responses obtained from Saudi citizens, this study examines a number of factors that may influence the intentions of citizens to engage in e-participation activities on e-government websites. The results suggest that the factors of trust and subjective norms have a significant impact on citizens’ intentions to engage in e-participation activities

Robots, Cyborgs, and Humans. A Model of Consumer Behavior in Services: A Study in the Healthcare Services Sector

La present tesi es basa en una investigació que proposa un ús futurista de l'robot i el cyborg com cirurgians oculars. El model desenvolupat investiga la intenció de l'consumidor per elegir cada cirurgià (és a dir: cirurgià robot, cirurgià cyborg o cirurgià humà). Les dades es van analitzar utilitzant la tècnica PLS-SEM. Els resultats de la investigació mostren que l'expectativa d'esforç, l'expectativa de rendiment, el risc percebut i la influència social van mostrar un impacte significatiu en la intenció d'utilitzar els serveis de l'robot cirurgià. Els resultats de el model per al cyborg cirurgià van confirmar l'impacte significatiu de l'expectativa d'esforç, l'excitació, l'expectativa de rendiment i la influència social en la intenció d'utilitzar els seus serveis. L'expectativa d'esforç i la influència social van confirmar un impacte significatiu en la intenció d'utilitzar els serveis de l'cirurgià humà. Els resultats mostren que en els tres models les variables influència social i expectativa d'esforç afecten significativament a la intenció d'utilitzar aquests serveis de cirurgia i que amb diferent intensitat entre els models per expectativa de esforç-. L'impacte de la influència social dóna una idea general sobre la naturalesa de el sector de la salut a Jordània, on una part de la societat presta més atenció a les recomanacions dels altres a l'elegir els seus cirurgians. A més, l'impacte de l'expectativa d'esforç contribueix a les expectatives per la simplicitat de l'servei dels pacients, en termes d'ús i interacció amb els cirurgians proposats. L'anàlisi multigrup va confirmar que les variables dels models estan afectant de la mateixa manera a l'comparar la intenció d'usar cyborgs i humans, i a l'comparar cyborgs i robots. No obstant això, sí que hi ha diferències significatives a l'comparar l'elecció entre robots i humans en l'impacte de l'expectativa d'esforç per utilitzar els serveis de cirurgia. D'altra banda, els participants van mostrar la seva preferència pel cirurgià humà sobre els cirurgians cyborg i robot, respectivament. Com a resultat, l'acceptació de les tecnologies de robot i cyborg per part de la societat podria donar una idea sobre la lluita esperada en el futur entre el desenvolupament de robots i la millora de les capacitats humanes.La presente tesis se basa en una investigación que propone un uso futurista del robot y el cyborg como cirujanos oculares. El modelo desarrollado investiga la intención del consumidor para elegir a cada cirujano (es decir: cirujano robot, cirujano cyborg o cirujano humano). Los datos se analizaron utilizando la técnica PLS-SEM. Los resultados de la investigación muestran que la expectativa de esfuerzo, la expectativa de rendimiento, el riesgo percibido y la influencia social mostraron un impacto significativo en la intención de utilizar los servicios del robot cirujano. Los resultados del modelo para el cyborg cirujano confirmaron el impacto significativo de la expectativa de esfuerzo, la excitación, la expectativa de rendimiento y la influencia social en la intención de usar sus servicios. La expectativa de esfuerzo y la influencia social confirmaron un impacto significativo en la intención de utilizar los servicios del cirujano humano. Los resultados muestran que en los tres modelos las variables influencia social y expectativa de esfuerzo afectan significativamente a la intención de usar esos servicios de cirugía –aunque con distinta intensidad entre los modelos para expectativa de esfuerzo-. El impacto de la influencia social da una idea general sobre la naturaleza del sector de la salud en Jordania, donde una parte de la sociedad presta más atención a las recomendaciones de los demás al elegir a sus cirujanos. Además, el impacto de la expectativa de esfuerzo contribuye a las expectativas por la simplicidad del servicio de los pacientes, en términos de uso e interacción con los cirujanos propuestos. El análisis multigrupo confirmó que las variables de los modelos están afectando de la misma manera al comparar la intención de usar cyborgs y humanos, y al comparar cyborgs y robots. Sin embargo, sí que existen diferencias significativas al comparar la elección entre robots y humanos en el impacto de la expectativa de esfuerzo para utilizar los servicios de cirugía. Por otro lado, los participantes mostraron su preferencia por el cirujano humano sobre los cirujanos cyborg y robot, respectivamente. Como resultado, la aceptación de las tecnologías de robot y cyborg por parte de la sociedad podría dar una idea sobre la lucha esperada en el futuro entre el desarrollo de robots y la mejora de las capacidades humanThe research proposes a futuristic use of robot and cyborg as surgeons in an eye surgery. Thereafter, the developed model has been applied to investigate the intention to use each surgeon (i.e. robot surgeon, cyborg surgeon, and human surgeon). The data was analyzed using the PLS-SEM technique. According to the research results, effort expectancy, performance expectancy, perceived risk, and social influence showed a significant impact on intention to use robot services. However, the results of the cyborg service model confirmed the significant impact of effort expectancy, arousal, performance expectancy, and social influence on the intention to use cyborg services. Furthermore, effort expectancy and social influence confirmed their significant impact on the intention to use human services. The results of the three models showed that the variables social influence and effort expectancy significantly affected the intention to use these surgical services, with a different intensity between the models for effort expectancy. The social influence impact gives a general idea about the nature of the healthcare sector in Jordan, where a part of society gives more attention to the recommendation from others while choosing their surgeons. Also, the effort expectancy impact contributes to patients' expectations of simplicity, in terms of use and interaction with the proposed surgeons. The multigroup analysis confirmed that the models' variables are affecting the intention to use cyborg and human service, and cyborg and robots in the same way. However, the differences were confirmed between robot and human cyborgs in terms of the impact of effort expectancy on the intention to use these services. On the other side, the participants showed their preference of the human surgeon over the cyborg and robot surgeons, respectively. As a result, the acceptance of the robot and cyborg technologies by a part of the society could give an idea about the expected struggle in the future among developing robots and enhancing human capabilities

DESIGN AND EXPLORATION OF NEW MODELS FOR SECURITY AND PRIVACY-SENSITIVE COLLABORATION SYSTEMS

Collaboration has been an area of interest in many domains including education, research, healthcare supply chain, Internet of things, and music etc. It enhances problem solving through expertise sharing, ideas sharing, learning and resource sharing, and improved decision making. To address the limitations in the existing literature, this dissertation presents a design science artifact and a conceptual model for collaborative environment. The first artifact is a blockchain based collaborative information exchange system that utilizes blockchain technology and semi-automated ontology mappings to enable secure and interoperable health information exchange among different health care institutions. The conceptual model proposed in this dissertation explores the factors that influences professionals continued use of video- conferencing applications. The conceptual model investigates the role the perceived risks and benefits play in influencing professionals’ attitude towards VC apps and consequently its active and automatic use

Empirical Assessment of the Role of Technology-Related Factors and Organization-Related Factors in Electronic Medical Records Implementation Success

The objective of this research was to investigate if certain technology-related and organization-related factors that have most often been associated with successful IT/MIS implementations in other information technology and information science domains are also associated with successful Electronic Medical Records (EMR) implementations. This research uncovered a unique set of technology-related factors and organization-related factors associated with successful EMR implementations from the perspective of healthcare enablers and healthcare providers. Specific technology-related factors considered in this research were the innovativeness of EMR (measured with respect to the relative advantage, compatibility and complexity of EMR), privacy and security attributes of EMR, and usefulness of EMR. Specific organization-related factors considered were the readiness of the organization for change and the !eve! of product/process innovation in the organization where the EMR was implemented

Development and Exploration of End-User Healthcare Technology Acceptance Models

This dissertation consists of three studies that collectively investigate the factors influencing the consumer adoption intention towards emerging healthcare technologies. Essay 1 systematically reviews the extent literature on healthcare technology adoption and serves as the theoretical foundation of the dissertation. It investigates different models that have been previously applied to study healthcare technology acceptance. Meta-analysis method is used to quantitatively synthesize the findings from prior empirical studies. Essay 2 posits, develops, and tests a comprehensive biotechnology acceptance model from the end-user's perspective. Two new constructs, namely, perceived risk and trust in technology, are integrated into the unified theory of acceptance and use of technology. Research hypotheses are tested using survey data and partial least square – structural equation modeling (PLS-SEM). Essay 3 extends the findings from the Essay 2 and further investigates the consumer's trust initiation and its effect on behavioral adoption intention. To achieve this purpose, Essay 3 posits and develops a trust model. Survey data allows testing the model using PLS-SEM. The models developed in this dissertation reflect significant modifications specific to the healthcare context. The findings provide value for academia, practitioners, and policymakers