Search results

Non‐attendance for first appointments in primary care mental health services represents a major service delivery challenge. Previous research identified how invitation type can influence attendance rates and a localised study was therefore carried out to examine the most effective invitation method and to inform local service guidelines. This exploratory study aims to consider the rate of non‐attendance to assessment for clients referred for psychological therapy in relation to invitation type.

In total, 521 invitations to initial assessment were sent over a three month period with clients being drawn from a rolling waiting list of referrals and invited to attend initial assessment by letter, telephone, or telephone with a telephone reminder. Non‐attendance rates were examined and findings compared across invitation type.

The study concluded that telephone invitations followed by a telephone prompting reminder significantly reduced non‐attendance to initial assessment appointments.

The findings highlight how using phone based invitation to assessment with a phone reminder can increase attendance rates and improve service efficiencies locally and more widely. There were several limitations to the research project including key variables not included or controlled for which it is felt may have biased the findings and the small effect size.

The findings of the present study extend and build on previous research in the area of attendance, particularly in relation to the provision of localised evidence from which to develop and improve local, national and international service delivery.

Questions the value of ‘morale boosting’ as a device for salesman improvement, concludes that attention to specific attitudes is likely to prove more rewarding. Specifies the improvement of sales‐force morale is often seen as vital to effective performance. Sheds light on the scarcity of research efforts and the inconclusiveness of available findings indicate the effects of job attitudes on sales performance are uncertain and, at best, are likely to be situation specific. Chronicles that this study was designed to contribute to a small but growing body of research efforts into the question of job attitudes and selling performance.

The use of film as a teaching methodology in an undergraduate personal leadership development course helped students apply strengths-based leadership concepts. The film Temple Grandin was utilized to illustrate key concepts from Buckingham and Clifton’s (2001) text, Now, Discover Your Strengths. After completing the Gallup Clifton StrengthsFinder^® assessment, students viewed the film Temple Grandin and identified Dr. Grandin’s perceived top five strengths in relation to scenes from the film. Several lessons were devoted to the exploration and development of students’ strengths. This practice paper describes the teaching methodologies employed and provides recommendations for leadership educators seeking to implement the use of film in their courses.

Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. The purpose of this study is to determine whether models used by computational text mining applications need to be adapted when used with samples of elementary-aged children.

This study introduces domain-adapted semantic models for child-specific text analysis, to allow better elementary-aged educational assessment. A corpus compiled from a multimodal mix of spoken and written child-directed sources is presented, used to train a children’s language model and evaluated against standard non-age-specific semantic models.

Child-oriented language is found to differ in vocabulary and word sense use from general English, while exhibiting lower gender and race biases. The model is evaluated in an educational application of divergent thinking measurement and shown to improve on generalized English models.

The findings demonstrate the need for age-specific language models in the growing domain of automated divergent thinking and strongly encourage the same for other educational uses of computation text analysis by showing a measurable difference in the language of children.

Understanding children’s language more representatively in automated educational assessment allows for more fair and equitable testing. Furthermore, child-specific language models have fewer gender and race biases.

Research in computational measurement of open-ended responses has thus far used models of language trained on general English sources or domain-specific sources such as textbooks. To the best of the authors’ knowledge, this paper is the first to study age-specific language models for educational assessment. In addition, while there have been several targeted, high-quality corpora of child-created or child-directed speech, the corpus presented here is the first developed with the breadth and scale required for large-scale text modeling.

“My Story” is based on a life story approach. This study aims to facilitate therapeutic alliances by providing a format for older and younger people to interact.

Three pairings were studied to explore the experiences of the older and younger person using “My Story”. The focus of the case studies was on how and if any therapeutic alliance emerged.

This study found that in the two of the pairings, “My Story” helped to create a bond and mutual benefit for the participants’ central to a therapeutic alliance. This led one of the pairings to develop into an intergenerational friendship and potentially help with loneliness.

As this was an exploratory and small pilot, more cases and research are required to fully assess if “My Story” is a useful approach to develop intergenerational befriending.

Intergenerational befriending may be one solution that could help with loneliness and social isolation through forming a therapeutic alliance to make the befriending successful.

Loneliness and social isolation for older people remain a problem.

An original pilot was undertaken to test the approach by bringing together older people identified as lonely by a voluntary sector provider and pairing these with a student volunteer. The students visited the older person over six weeks to discuss their life story and create an artefact based on the story for the older person.

The tourism sector is one of the fastest growing sectors in recent years according to the World Tourism Organization. In recent years, there have been an increasing number of disasters and crises. There are many factors affecting the tourism sector, from natural events to human impact. Tourism sector has suffered great damage from national and global crises. The Gulf War in 1991, the tsunami disaster in 2004, the global economic crisis in 2009 and the pandemic in 2019 can be given as examples of events that negatively affected tourism. The tourism sector in the world has faced the pandemic, which is the biggest global shock in recent times. This situation reinforces the need for tourism businesses and stakeholders to be prepared for crisis and pandemic. With the globalization of the tourism industry and the world becoming more interdependent and interconnected, it is a fact that crises occurring in one part of the world can affect tourism activities in a wider area or worldwide. Since tourism is not at the top of peoples list of needs, it is one of the first plans that tourists will change and cancel as soon as they perceive a threat to themselves. Therefore, the tourism sector is highly sensitive to crises and pandemics. In the face of crisis sensitivity, the tourism sector is also very skillful in eliminating the effects of the crisis as soon as possible. In this study, the impact of crisis and pandemic on the destination in the tourism sector will be explained with examples from some crisis and pandemic cases, and the requirements of tourism enterprises for crisis and pandemic preparedness will be underlined.

The objective of this article is to examine the extent to which the antecedents of entrepreneurial employee activity differ by gender across countries.

Generalised linear multilevel logistic regression is applied to data from the Global Entrepreneurship Monitor (GEM) with a sample of 60 countries for the period 2014–2016. This data is complemented with data from the World Governance Indicators (WGI) project and from the International Monetary Fund (IMF).

Using human capital theory (for individual-related antecedents) and institutional economics (for environmental related antecedents), the results show that the antecedents of entrepreneurial employee activity differ by gender. Specifically, being in contact with other entrepreneurs, and the quality of government regulations condition entrepreneurial employee activity and have a different intensity depending on gender.

This study contributes to the literature about entrepreneurial initiatives and gender by providing insights that add to the literature on why men and women have different entrepreneurial behaviours. In addition, this study also contributes to human capital theory and institutional economics as their role in the relation between entrepreneurial employee activity and gender has not been studied in detail in previous research. Finally, the promotion of female intrapreneurial activity is a key policy for most public bodies and organisations in developed countries.

Despite rapid expansion in provision of outdoor management development (OMD), there is a lack of empirical evidence to support the efficacy of the learning process and crucially, its transfer to the workplace. Prompted by the dearth of research into the linkage between programme aims, the methodologies utilised and outcomes that are purported to accrue, a new framework for analysing the mechanisms of skills transfer is proposed. The framework represents a decision making chain comprised of three factors i.e. the knowledge base, learning approach and practice setting. In order to explore the veracity of the framework, data were gathered about the methodologies used by ten major providers of OMD to promote the transfer of skills in conflict handling. Results confirmed the model to be tenable insofar as the variables represented within it were reportedly utilised as aspects of skills development. Significantly, however, there was little evidence for the application of this framework, or any other process‐based decision making, on the design of optimum content or method.

Credit market development requires appropriate credit assessment and default policies. This paper aims to examine the impact of household characteristics on mortgage default, using survey data collected from Ghanaian financial institutions.

Data were gathered using semi-structured questionnaires from customers of five universal banks in Ghana. A logistic regression was used to model the determinants of credit default propensity.

Contrary to established knowledge, the study shows that females are more likely to default on credit than their male counterparts. This is even more likely if the female is older, unmarried, divorced and financially illiterate and has lower educational attainments. These factors are associated with lower earning capacity, which increases default tendencies. The findings confirm that price instability (typified by excessive movements in inflation and exchange rates in addition to low national savings rate) are adversely linked to credit defaults. Borrower’s perception of constraints to credit access (such as collateral requirements, interest rate and loan size) influence credit default. Banks should be encouraged to invest in the financial literacy skills development of their customers to mitigate credit default tendencies.

The study is of practical value to credit officers and the development of the credit market in Ghana. A novel model is presented for assessing credit applications and developing credit default policies.

The research findings have not only expanded the frontiers of literature but also empirically examined the determinants of credit default propensity, which provides a basis for developing and improving credit default policy in the credit market.