Search results

Given declining tuition funds and government grants, Kenyan universities need to develop strategies, including increased research grants and collaborations, to diversify their income sources. Well-managed doctoral students can boost a university’s teaching and research outputs. However, numbers of students enrolled in doctoral programmes at Kenyan universities are low, and graduation rates and time-to-graduate statistics are disturbing. Research undertaken elsewhere underline the important role played by supervisors and peers in facilitating students’ sense of belonging and their success. Therefore, this study aims to investigate the influence of supervisory and peer support on PhD students’ sense of belonging and their success at Kenyan universities.

In this cross-sectional study, data were gathered through an online questionnaire from 614 students admitted to doctoral programmes at Kenyan universities between 2010 and 2018. We used multi-item scales to collect data on PhD students’ self-efficacy, supervisory and peer support and a sense of belonging.

Structural equation modelling results revealed that PhD students’ modes of study and self-efficacy were significantly associated with the quality of supervision, peer support and a sense of belonging. However, only age, a sense of belonging and the quality of supervision were directly linked to their success.

This study contributes to the literature on doctoral-level education, responding to the need for research on the influence of relationships with supervisors and peers on PhD students’ sense of belonging and their success, especially in developing countries.

Supporting community college transfer students represents a critical strategy for broadening participation in STEM. In addition to being a racially diverse group, students who pursue STEM degrees by way of community college report frequent interests in graduate study and academic careers. Thus, supporting and expanding transfer students’ PhD interests can help to diversify the STEM professoriate. This study aims to identify the experiences that predict PhD interests among students who transferred into the computer science major from a community college.

Relying on longitudinal survey data from over 150 community college transfer students throughout their first year at their receiving four-year university, we used regression analysis to identify the post-transfer college experiences that predict early interest in PhDs.

We found that receiving information about PhDs from a professor strongly predicted PhD interest among transfer students. Relationships with other variables indicate that the provision of information about graduate school was more likely to occur for students who participated in undergraduate research experiences than for those participating in internships. Descriptive data document inequities in who has access to these types of experiences.

This paper provides new insight into how STEM departments can develop targeted efforts to ensure that information about PhD training is equitably available to all transfer students. Working to ensure that faculty equitably communicate with students about PhD opportunities may go a long way in countering potential deterrents among transfer students who may be interested in such pathways.

This study aimed to examine the influence of psychological capital on the students' academic success in a PhD journey in Tanzania.

A cross-sectional survey design was used and data were collected through structured questionnaires from 200 PhD students in Tanzania. Confirmatory factor analysis was used to test the measurement model. The hypotheses were empirically tested using structural equation modeling (SEM).

The findings affirm that psychological capital in terms of hope, self-efficacy, resilience and optimism are significant predictors of students' academic success in a PhD journey.

To the best of the authors' knowledge, this paper is among the first to comprehensively examine the influence of psychological capital on students' academic success in PhD studies. Previous studies have primarily focused on the undergraduate level. Additionally, this study extends the applicability of conservation of resource (COR) theory to the context of PhD students, demonstrating that psychological capital serves as a crucial resource for them to achieve success in their PhD studies.

Doctoral programs play a crucial role in promoting innovation and technology transfer in universities. To design these programs effectively and with a co-design perspective, it is essential to consider all stakeholders involved in the process, including teachers, students and employers. The main objective of this study is to enhance postgraduate programs to improve students' employability.

This empirical study was conducted over a three-year period and employed semi-structured interviews as its primary research methodology. In the first phase, 21 in-depth semi-structured interviews were conducted with managers from various sectors. The second phase involved 20 interviews, and the final phase of the study included 18 interviews with the same managers from previous phases.

The study's main results revealed that the international networks, language proficiency and analytical skills of doctoral students were highly valued by employers. The main findings come from companies with doctoral students. Therefore, the skills were identified during the learning experience of the PhD graduates in the companies.

The study's results can guide improvements in postgraduate program curricula and design to enhance students' employability.

This research presents a novel approach to its findings. On the one hand, the study's conclusions may provide valuable insights for business agents, encouraging them to hire PhD students. On the other hand, it aims to drive necessary changes that promote more PhD students' focus on non-academic careers, creating significant value for research and innovation in the private sector.

PhD graduates are entering an increasing range of careers, but past research has highlighted a lack of preparation for these careers. This study aims to explore the reflections of PhD graduates from science and humanities and social science disciplines regarding support for career development (CD) during their study.

The authors used an explanatory sequential mixed-methods design and collected 136 survey responses and interviewed 21 PhD graduates from two US and one New Zealand universities to investigate their career readiness. Using the lens of Cognitive Information Processing theory, the authors explored the development of self-knowledge and career options-knowledge, and how support at the macro (institutional), meso (departmental) and micro (supervisors) levels influenced CD.

During doctoral study, there was very poor engagement with CD activities. Graduates displayed limited self-knowledge and poor knowledge about career options. Graduates reported drawing mainly on their departments and supervisors for career guidance. Although there were pockets of good practice, some departments were perceived as promoting academia as the only successful outcome, neglecting to support other possible pathways. Some graduates reported excellent supervisor support for CD, but others described disinterest or a damaging response if students said they were not wanting to pursue academia.

The enabling aspects for developing self- and options-knowledge are collated into a conceptual model, which identifies key factors at institutional, departmental and supervisor levels, as well as for PhD students themselves.

The study examines potential differences in socioeconomic status (SES) and emigration patterns between Greek international students (IS) and non-international students (non-IS) and their relationship to the brain drain from Greece.

The study draws on a unique database including all the Greek PhD holders and provides detailed information on their SES and mobility patterns. Furthermore, an individual-level SES index is constructed including both human capital and socioeconomic indicators to estimate the magnitude of the brain drain in terms of the SES that emigrated abroad between 1,985 and 2,018.

First, Greek IS have a higher educational, professional and economic status compared to Greek non-IS. Moreover, they exhibit a more international profile, inasmuch as they are more likely to remain abroad after graduation to seek employment. Second, the magnitude of the brain drain in terms of SES emigrated abroad (22.5% of the total) is greater than in terms of individuals who moved abroad (13.4% of the total). Specifically, the SES that outflows with an additional Greek skilled emigrant (that is, an additional IS and non-IS residing abroad) is 1.1 times greater than the SES that remains in Greece with an additional non-IS residing in Greece.

The study contributes to the scientific discussion that relates the SES of IS and highly skilled migrants to brain drain and fills the gap in the relevant literature.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0607.

Sustainable development (SD) is vital in alleviating poverty, hunger and disease (PHD). The purpose of this study is to present a guiding framework with pathways targeting the sustainability challenges concerning PHD based on urban planning and design literature.

A narrative review and content analysis of 27 articles published by 11 journals indexed in Scopus were conducted using bibliometrics analysis.

The study’s findings discuss contemporary normative planning and design ideas and their ability to alleviate PHD. Considering these findings, the authors recommend that urban planning and design implementation processes carefully pursue the United Nations Sustainable Development Goals (SDGs) and Vision 2030 by tracking qualitative metrics that consider social, cultural and spiritual well-being.

The contribution is to propose a conceptual framework for alleviating hunger, poverty and disease through Vision 2030. Practitioners and policymakers can use this framework to assess the impact of their actions. Hunger, poverty and disease research could be guided by this framework to identify and prioritize best practices in cities of the Global South.

This study aims to evaluate and summarize the effectiveness of cognitive behavioral therapy (CBT) and internet-based CBT (ICBT) interventions on relapse prevention and severity of symptoms among individuals with major depressive disorder (MDD). CBT is one of the most used and suggested interventions to manage MDD, whereas ICBT is a novel effective proposed approach.

The review was conducted following the preferred reporting items for systematic review and meta-analysis protocol. A comprehensive and extensive search was performed to identify and evaluate the relevant studies about the effectiveness of CBT and ICBT on relapse prevention and severity of symptoms among patients with MDD.

A total of eight research studies met the inclusion criteria and were included in this systematic review. RCT studies were conducted to assess and evaluate the effectiveness of CBT and ICBT on relapse prevention and severity of symptoms among patients with MDD. It has been found that CBT is a well-supported and evidently based effective psychotherapy for managing depressive symptoms and reducing the relapse and readmission rate among patients diagnosed with MDD. The ICBT demonstrated greater improvements in depressive symptoms during major depressive episodes among patients with MDDS. The ICBT program had good acceptability and satisfaction among participants in different countries.

Despite the significant findings from this systematic review, certain limitations should be acknowledged. First, it is important to note that all the studies included in this review were exclusively conducted in the English language, potentially limiting the generalizability of the findings to non-English speaking populations. Second, the number of research studies incorporated in this systematic review was relatively limited, which may have resulted in a narrower scope of analysis. Finally, a few studies within the selected research had small sample sizes, which could potentially impact the precision and reliability of the overall conclusions drawn from this review. The authors recommend that nurses working in psychiatric units should use CBT interventions with patients with MDD.

This paper, a review of the literature gives an overview of CBT and ICBT interventions to reduce the severity of depressive symptoms and prevent patients’ relapse and rehospitalization and shows that CBT interventions are effective on relapse prevention among patients with MDD. In addition, there is still no standardized protocol to apply the CBT intervention in the scope of reducing the severity of depressive symptoms and preventing depression relapse among patients with major depressive disorder. Further research is needed to confirm the findings of this review. Future research is also needed to find out the most effective form and contents of CBT and ICBT interventions for MDD.

CBT is a psychological intervention that has been recommended by the literature for the treatment of major depressive disorder (MDD). It is a widely recognized and accepted approach that combines cognitive and behavioral techniques to assist individuals overcome their depressive symptoms and improve their overall mental well-being. This would speculate that effectiveness associated with several aspects and combinations of different approaches in CBT interventions and the impact of different delivery models are essential for clinical practice and appropriate selection of the interventional combinations.

This systematic review focuses on the various studies that explore the effectiveness of face-to-face CBT and ICBT in reducing depressive symptoms among patients with major depressive disorder. These studies were conducted in different countries such as Iran, Australia, Pennsylvania and the USA.

Institutional framings of doctoral education mostly do not recognize the existential dimension of doctoral experience. This paper aims to offer an expanded understanding of experiences of doctoral researchers in the humanities with the concept of entangled becoming. This concept is developed through an existential lens by using Søren Kierkegaard’s philosophy – particularly his emphasis on emotions such as passion, anxiety and despair – and Denise Batchelor’s derived concept of vulnerable voices.

The conceptual framing is used for an empirical study based on ethnographic interviews with 10 doctoral researchers and supplementary observational notes from fieldwork at a university in Denmark. Two of the interview cases were selected to showcase variation across lived experiences and how doctoral researchers voice their entangled becoming.

Common experiences such as loneliness, insecurity(ies), vulnerability(ies) or passion for one’s research were identified across the interviews. On the other hand, this study shows that each doctoral journey in the humanities envelops a distinct web of entanglements, entailing distinct navigation, that makes each case a unique story and each doctoral voice a specific one.

Combining an existential philosophical perspective with a qualitative study, the paper offers an alternative perspective for doctoral education. It connects the humanities doctoral experience to the broader condition of human existence and the sophisticated uniqueness of each researcher’s becoming.

This paper aims to bridge the extended reality framework and the luxury hospitality literature by providing insights into how immersive technologies using artificial intelligence (AI) can shape luxury value and consumer differentiation.

The authors conducted three experimental studies comparing immersive AI versus traditional hospitality across luxury contexts (hotels, restaurants and spas). Study 1 investigates the effect of immersive AI (vs traditional hospitality) on customers’ behavioral intentions and the need for differentiation using virtual-assisted reality. Study 2 tests the underlying mechanism of the need for differentiation and luxury value in an augmented reality context. Study 3 provides additional support for the proposed underlying mechanism using virtual-assisted reality in luxury hospitality.

The findings reveal that immersive AI (vs traditional) luxury hospitality reduces customers’ behavioral intentions of using such services and perceived luxury value. Moreover, the findings indicate that the intention to use immersive AI (vs traditional) luxury hospitality services is contingent upon customers’ need for differentiation.

The findings have important theoretical and managerial implications for immersive technologies in luxury hospitality. They shed light on the dynamics between integrating immersive AI into luxury hospitality and its impact on customers’ differentiation motives and perceived luxury value. The findings reveal the detrimental effect of using immersive AI (vs traditional hospitality) within this context.