This study is innovative in that it draws together the concepts of suggestion from several cultural groups and develops an inventory to account for variations the occurrence of scale to studies the relatively new area of the effects of suggestion in classrooms and compares effect on personality and academic variables. As new ideas and knowledge become more widespread and accepted by the community and teaching profession, precision in the applications of suggestion in the classroom is being seen as more important. Although new to education, suggestion and similar variations has always been central to influencing behaviour and learning among pastoral, counseling and hypnotherapy fields. Teachers who had experience or influence from those fields or the ideas of Lozanov (1978) or accelerated learning groups were and are more the exception than the rule. However, as new ideas become more influential, the influence of suggestion in is becoming increasingly important in progressive, modern education. A major goal of the study was to provide a valid instrument to compare Chinese and Australian differences and similarities in use of suggestion in learning. It was hoped that such a comparison would provide increased mutual understanding of values, strategies, practices and preferences by teachers and students. A second goal was to develop a causative model that explained the relationships between the measured variables of personality and learning behaviour and suggestion in teaching and learning.. A third aim was to make a comparison on effects and performance of suggestion in teaching and learning in Australian, Chinese and Australian accelerative learning classes. This study examined differences between Australian and Chinese high school Science classrooms in their use of suggestion in teaching and learning. To ascertain the prevalence and types of suggestion in the classroom the 39-item suggestion in teaching and learning (STL) scale was developed and validated v in Year 7, 9, and 11 high school classes in China and Australia. The STL scale categorized suggestion into the following types or subscales: Selfsuggestion, metaphor, indirect non-verbal suggestion, general spoken suggestion, negative suggestion, intuitive suggestion, direct verbal suggestion, relaxation, and de-suggestion. The study involved surveying 344 participants (n=182 female, n=162 male) from four high schools in Australia and China. A further 374 participants (n=108 teachers, n=266 students) from six high schools were surveyed for selecting a Chinese sample in a pilot study. About 284 participants (China: 200 students; Australia: 84 students [includes 8 adults]) were observed for validation of the STL instrument. All subjects and classes were randomly selected and were surveyed and observed for the purpose of scale and model development. The STL scale was found to be capable of distinguishing different types of suggestion within Chinese, Australian, and Australian Accelerative Learning classes. The STL scale was significant as a first scale to measure suggestion in teaching and learning in Australian and Chinese classrooms. Items in the scale were strongly and significantly correlated with other items within the subscales and with the overall scale. Path analytic techniques were used to explain relationships between the STL scale, its subscales, nation, gender and high school students profiles on stress, depression, learning styles and academic grades. Limitations of the study included problems arising from language and cultural differences as well as newness of the scale and the field of study. Recommendations for further study included strengthening aspects of the scale with new items and further qualitative and quantitative studies on the uses of suggestion in academic learning and other forms of change in childhood and adolescence.

The e-government phenomena has become more important with the ever increasing number of implementations world wide. A model explaining the e-government adoption and the related measurement instrument a survey had been developed and validated in this study. In a post technology acceptance model (TAM) approach, theory of planned behavior (TPB) was extended to t the requirements of e-government context. The adoption of student loans service of the higher education student loans and accommodation association (KYK) was investigated to obtain data for empirical validation. The instrument was administered to over four-hundred students and partial least squares path modeling was employed to analyze the data. The results indicate that the model was an improvement over TAM in terms of predictive power. The constructs investigated in the study successfully explained the intention to use an e-government service.

Kyoto University (京都大学) / 0048 / 新制・課程博士 / 博士(工学) / 甲第18965号 / 工博第4007号 / 新制||工||1617 / 31916 / 京都大学大学院工学研究科都市社会工学専攻 / (主査)教授 藤井 聡, 准教授 SCHMOECKER,JAN-DirK, 准教授 神田 佑亮 / 学位規則第4条第1項該当

The relationship between interpartner abuse (IPA) and criminal offending has received little scholarly attention, despite its important theoretical and practical implications. Two key questions about this relationship require attention. First, to what extent do IPA, violent offending, and property offending represent empirically distinct behavioural domains? Second, to what extent do these offence types share common predictors? The current study addressed these issues, and several additional issues, in a birth cohort of 950 New Zealand adults. Cohort members were questioned at ages 21, 25, and 30 years about the extent which they had engaged in IPA and criminal offending during the previous year. Information was also obtained from birth to late adolescence on a number of potential predictors of IPA and criminal offending, including socio-economic disadvantage, family dysfunction, childhood abuse, conduct disordered behaviours, deviant peer affiliations, substance abuse, academic ability, the obtainment of a high-school qualification, identification with an ethnic or racial minority, and gender. Confirmatory Factor Analysis results indicated that IPA, violent offending, and property offending represent three empirically distinct, albeit related, behavioural domains. Consistent with this finding were those obtained using Structural Equation Modelling techniques, which indicated that these offence types share many common childhood, adolescent, and demographic predictors. In addition, many predictors, but not all, were found to exert similar effects across these offence types. Analyses also indicated that shared predictors accounted for considerable proportions of the relationships between IPA, violent offending, and property offending. Finally, the vast majority of predictors were found to exert similar effects for males and females on each offence type. The current findings are discussed in relation to previous research and theory, and with respect to their implications for prevention-focused interventions for IPA and criminal offending.

No description available.

Background: There are innumerable diabetes studies that have investigated associations between risk factors, protective factors, and health outcomes; however, these individual predictors are part of a complex network of interacting forces. Moreover, there is little awareness about resilience or its importance in chronic disease in adulthood, especially diabetes. Thus, this is the first study to: (1) extensively investigate the relationships among a host of predictors and multiple adaptive outcomes; and (2) conceptualise a resilience model among people with diabetes. Methods: This cross-sectional study was divided into two research studies. Study One was to translate two diabetes-specific instruments (Problem Areas In Diabetes, PAID; Diabetes Coping Measure, DCM) into a Chinese version and to examine their psychometric properties for use in Study Two in a convenience sample of 205 outpatients with type 2 diabetes. In Study Two, an integrated theoretical model is developed and evaluated using the structural equation modelling (SEM) technique. A self-administered questionnaire was completed by 345 people with type 2 diabetes from the endocrine outpatient departments of three hospitals in Taiwan. Results: Confirmatory factor analyses confirmed a one-factor structure of the PAID-C which was similar to the original version of the PAID. Strong content validity of the PAID-C was demonstrated. The PAID-C was associated with HbA1c and diabetes self-care behaviours, confirming satisfactory criterion validity. There was a moderate relationship between the PAID-C and the Perceived Stress Scale, supporting satisfactory convergent validity. The PAID-C also demonstrated satisfactory stability and high internal consistency. A four-factor structure and strong content validity of the DCM-C was confirmed. Criterion validity demonstrated that the DCM-C was significantly associated with HbA1c and diabetes self-care behaviours. There was a statistical correlation between the DCM-C and the Revised Ways of Coping Checklist, suggesting satisfactory convergent validity. Test-retest reliability demonstrated satisfactory stability of the DCM-C. The total scale of the DCM-C showed adequate internal consistency. Age, duration of diabetes, diabetes symptoms, diabetes distress, physical activity, coping strategies, and social support were the most consistent factors associated with adaptive outcomes in adults with diabetes. Resilience was positively associated with coping strategies, social support, health-related quality of life, and diabetes self-care behaviours. Results of the structural equation modelling revealed protective factors had a significant direct effect on adaptive outcomes; however, the construct of risk factors was not significantly related to adaptive outcomes. Moreover, resilience can moderate the relationships among protective factors and adaptive outcomes, but there were no interaction effects of risk factors and resilience on adaptive outcomes. Conclusion: This study contributes to an understanding of how risk factors and protective factors work together to influence adaptive outcomes in blood sugar control, health-related quality of life, and diabetes self-care behaviours. Additionally, resilience is a positive personality characteristic and may be importantly involved in the adjustment process among people living with type 2 diabetes.

No description available.

The purpose of this empirical study is to examine the usage of Enterprise Resource Planning Systems (ERPS) in Higher Education Institutes (HEIs). Recently, rapid growth in information technology services compels developing countries to emerge as an information-based society. This emergence corresponds with the calls of researchers to address ERPS (Abbas, 2011). However, there is a scarcity of efforts by researchers to identify the factors contributing to the usage of ERPS at the organisational, departmental and end-user layer in HEIs. To fill this gap, this research develops a Multi-Layer Usage Model (MLUM) to determine the factors of ERPS usage across the organisational, departmental and individual levels of HEIs. The theoretical foundation of this study is adapted from unified theory of acceptance and use of technology developed by Venkatesh et al (2003). The study is unique in many respects. Firstly, it offers a newly developed multi-level conceptual model that is tested empirically using three distinct questionnaires; one for each layer. A large primary dataset, 1317 responses, is collected through three questionnaire from 18 higher education institutions in Pakistan; 86 responses from the organisational layer, 143 from the departmental layer and 1088 from the end-user layer. Structural equation modelling is used to analyse the effect of factors at three layers contributing to the usage of ERPS. Furthermore, the models are refined by applying extensions of structural equation modelling. Results suggest that at the organisational layer human resource availability, tolerance for risks and conflicts, collegial support and collaboration and decision making and control are significant and contributed towards ERPS usage while at the end-user layer behavioural intentions and motivation were insignificant and were therefore, removed from the model. This study contributes to theory development regarding usage of innovations in the under-researched context of HEIs. It also provides indigenous manifestations of ERPS usage that may be used by policy-makers.

Within the last decade there has been a significant increase in the range of Social Media tools that have become available. This has led to a significant increase in the use and popularity of Social Media within many aspects of everyday life, particularly within the UK and US. One of the areas in which there has been a rise in the use of Social Media is within Higher Education (HE). Within HE there have been reports that Social Media has been successfully utilized for teaching and learning, particularly in the case of blogs. Despite reportedly successful usage there has to date been relatively few empirical studies which have explored whether the use of blogs within teaching and learning leads to an increase in perceived learning by students. This research study therefore provides an empirical study of perceived learning by students when using blogs within teaching and learning in UK and US HE. This research study adopts a post positivist research approach and a quantitative research design method. Questionnaires have been utilised in order to explore student views of perceived learning when using blogs as a tool for HE teaching and learning within the UK and US. This study provides a framework for student use of blogs within HE teaching and learning and explores whether the use of blogs in this way leads to greater levels of perceived learning amongst students. The results of this research are analysed using PLS-SEM and have shown that the successful use of blogs for teaching and learning is complex. The results have demonstrated that students do report higher degrees of learning from using blogs within teaching and learning, however, this is influenced by the perceptions students hold relating to digital technology, teaching and learning, previous experience and expectations of blogging. The results of this study have implications for both HE teachers and HE students and provides a framework which can be used to help ensure the successful use of blogs when utilised for HE teaching and learning within the UK and US in the future.

Tourism destinations all over the world increasingly embrace marketing and branding practices traditionally utilized by businesses. However, the literature on customer-based brand equity modelling and measurement for tourism destinations lacks the conceptual understanding of the complex relationships between tourists and the destination brand. Therefore, the thesis at hand addresses the existing gap in tourism literature and aims at contributing to the development of the customer-based brand equity concept in a tourism destination setting (CBDBE) by taking into account the value-co-creation approach. The components of the proposed model consist of the customers’ evaluation of the destination promise in terms of transforming functional, intangible and social destination resources into tourists’ value-in-use. Furthermore, the positive relationship between visitors’ perception of the destination and value-for-money discloses the input of tourists’ own resources into the process of value-co-creation. Moreover, destination brand awareness affects the evaluation of the destination promise, which, in turn, determines tourists’ behavioural intentions towards the destination. By implementing web-based customer surveys and using a linear structural equation modelling approach, the proposed model is empirically validated for the leading Swedish mountain destination Åre. First, the model is repeatedly tested with data regarding the winter seasons 2009/10 and 2012/13.  Second, the proposed CBDBE model has been operationalized and tested also for the summer season. Findings from face-to-face interviews conducted in Åre during summer 2012 uncovered the relationships between destination resources offered in Åre, tourists’ own resources and destination value-in-use and, thus, served as the empirical fundament for the development of a destination-specific scale to measure value-in-use. Subsequently, the proposed CBDBE model has been successfully tested with web-based survey data collected after the summer season 2012, both for the total sample and separately for the main a priori tourist segments, including hiking, mountain biking and village tourists. Results show the significant contribution of destination value-in-use defined as perceived benefits from a destination stay, which, in turn, strongly affect customers’ destination loyalty. In contrast, the relationship between value-for-money and destination loyalty is less strong and even non-significant for the two customer segments hiking and mountain biking tourists. Importantly, as part of the CBDBE model operationalization, the thesis highlights the need to better understand destination-specific consumption patterns across various tourism segments by destination managers. Therefore, results demonstrate that by monitoring unique destination and tourist-specific experience dimensions, destination management can influence and better manage both the value-in-use for customers and customer loyalty. Thus, the proposed CBDBE model provides destination managers with a tool, which enables evaluation and upgrade of destination marketing strategy and, finally, assist in discovering promising innovation potentials for highly experiential tourism products. / Customer-based innovations in tourism / Engineering th Knowledge Destination through Customer-based Competence Development