Search results

This chapter investigates the experiences of doctoral students and supervisors in the doctoral process, focusing on the potential impact of imbalances in the distribution of power. In this respect, there are troublesome manifestations of excessive faculty entitlement that appear to be a source of inequality and injustice. These phenomena call into question the crucial relationship of support expected of doctoral students, as thesis supervisors have a fundamental role to play in guiding them towards the doctorate and ensuring their successful entry into the research community. Looking at the issue from the angle of the theory of social fields, I examine instances of dysfunction in supervisory experiences. Such problematic practices tend to conform to the relationships and traditions that sustain and (re)produce the practices of the academy, constraining the establishment of what Bakhtin describes as a dialogical relationship, between doctoral students and supervisors. I examine this problem from my own experience, both as a doctoral student and as a supervisor. I approach the question by combining self-study and narrative inquiry to make use of the data from my experience to analyse the issues raised during the supervision of doctoral programmes. I connect accounts drawn from literature, real-life testimonies and a corpus of discussions and notes to explore the manifestations of excessive faculty entitlement in the form of asymmetries and difficulties that can negatively impact the quality of supervision.

Approaching mentoring from the theoretical tradition of continental pedagogy and contrasting it to the neoliberal organization of the academy, this paper aims to analyze how the Croatian higher education document framework constructs mentoring graduate and postgraduate students' research projects.

The analysis of 50 national- and university-level documents, which were coded using an adapted strategy described by Saldaña (2014), was guided by the following research questions. 1. Which elements of the mentor’s activity in guiding the research projects of graduate and postgraduate students are addressed by the relevant Croatian higher education documents? 2. Which elements of the graduate and postgraduate students’ activity in conducting research projects are addressed? 3. Which structural dimensions of mentoring these research projects are addressed?

The results point to the construction of mentoring as a pedagogical relationship based on guidance, support and dialog and also signal the processes of quantification of education and responsibilization of individuals.

The results can be used in the critical revision of the documents as well as in supporting mentors in their professional roles.

This is the first analysis of the Croatian higher education document framework focused on mentoring students’ research projects.

The purpose of this paper is to review cases of artificial reefs built through additive manufacturing (AM) technologies and analyse their ecological goals, fabrication process, materials, structural design features and implementation location to determine predominant parameters, environmental impacts, advantages, and limitations.

The review analysed 16 cases of artificial reefs from both temperate and tropical regions. These were categorised based on the AM process used, the mortar material used (crucial for biological applications), the structural design features and the location of implementation. These parameters are assessed to determine how effectively the designs meet the stipulated ecological goals, how AM technologies demonstrate their potential in comparison to conventional methods and the preference locations of these implementations.

The overview revealed that the dominant artificial reef implementation occurs in the Mediterranean and Atlantic Seas, both accounting for 24%. The remaining cases were in the Australian Sea (20%), the South Asia Sea (12%), the Persian Gulf and the Pacific Ocean, both with 8%, and the Indian Sea with 4% of all the cases studied. It was concluded that fused filament fabrication, binder jetting and material extrusion represent the main AM processes used to build artificial reefs. Cementitious materials, ceramics, polymers and geopolymer formulations were used, incorporating aggregates from mineral residues, biological wastes and pozzolan materials, to reduce environmental impacts, promote the circular economy and be more beneficial for marine ecosystems. The evaluation ranking assessed how well their design and materials align with their ecological goals, demonstrating that five cases were ranked with high effectiveness, ten projects with moderate effectiveness and one case with low effectiveness.

AM represents an innovative method for marine restoration and management. It offers a rapid prototyping technique for design validation and enables the creation of highly complex shapes for habitat diversification while incorporating a diverse range of materials to benefit environmental and marine species’ habitats.

The purpose of this study is to present a methodical procedure on how to prepare event logs and analyse them through process mining, statistics and visualisations. The aim is to derive roots and patterns of quality deviations and non-conforming finished products as well as best practice facilitating employee training in the food processing industry. Thereby, a key focus is on recognising tacit knowledge hidden in event logs to improve quality processes.

This study applied process mining to detect root causes of quality deviations in operational process of food production. In addition, a data-ecosystem was developed which illustrates a continuous improvement feedback loop and serves as a role model for other applications in the food processing industry. The approach was applied to a real-case study in the processed cheese industry.

The findings revealed practical and conceptional contributions which can be used to continuously improve quality management (QM) in food processing. Thereby, the developed data-ecosystem supports production and QM in the decision-making processes. The findings of the analysis are a valuable basis to enhance operational processes, aiming to prevent quality deviations and non-conforming finished products.

Process mining is still rarely used in the food industry. Thereby, the proposed method helps to identify tacit knowledge in the food processing industry, which was shown by the framework for the preparation of event logs and the data ecosystem.

This study aims to provide insights into the possible impact of International Public Sector Accounting Standards (IPSAS) on public governance and perceived levels of corruption in developing countries.

Through a multivariate analysis on panel data applied to 36 countries in the Middle East and North Africa (MENA) region and sub-Saharan Africa over the period 2010–2020, the authors test the impact of IPSAS adoption on transparency, accountability and perceptions of less corruption. The authors examine the moderating role of transparency and accountability in the strength of the relationship between IPSAS and perceived corruption.

The main results show that IPSAS adoption promotes an increase in transparency and accountability and leads to the perception of less corruption. Additional tests show that transparency and accountability strengthen the effect of IPSAS adoption and experience on perceived corruption.

The first limitation may be the use of the Transparency International CPI to measure the level of perceived corruption. Probably, the CPI does not reflect the actual levels of corruption in countries while the literature argues that these two measures are related. Also, the lack of data on the status and level of adoption of IPSAS by governments may be one limitation of the sample.

The study may help public authorities in their decision to adopt IPSAS. In light of the findings, standard-setting bodies could be encouraged to strengthen the disclosure requirements of IPSAS that make governments more transparent and accountable to limit perceptions of corruption.

This study may also help citizens understand the benefits of such reforms in protecting public assets and how such standards may help improve social welfare.

To the best of the authors’ knowledge, this is one of the few studies that examines the impact of IPSAS on good governance by combining the dimensions of transparency, accountability and perceptions of corruption in DCs. It also provides insights into the moderating role of public governance pillars. Finally, it includes the IPSAS experience of the country, which has been little tested previously.

The current study has a two-fold purpose. Firstly, it aims to analyze the extent to which knowledge management (KM) affects the performance of individuals (task and contextual) on the one hand and that of organizations (product or service, perceived and financial) on the other hand. Secondly, it proposes to investigate the mediating effect of motivation and innovation in the relationship between KM and individual and organizational performance.

Partial least squares structural equation modeling (PLS-SEM) was employed in this study, with mediation analysis performed using advanced PLS-SEM techniques. A total of 1,284 respondents from organizations in both the public and private sectors were included in the sample.

The findings emphasize that KM has a more significant direct effect on individual performance compared to organizational performance. Concurrently, in terms of indirect influence, it is found that KM, through motivation and innovation, has a positive and significant effect on both individual and organizational performances, with a higher influence on the organizational one.

The originality of the work can be noted in designing two different structural models to represent the proposed relationships at the individual and organizational levels. These findings could provide organizational decision makers with empirical evidence, helping them (1) internalize the significance of the KM process in organizations as well as its subsequent effects on individual and organizational performance and (2) identify factors that mediate variable relationships.

The current research elucidates the role of empathy in design of artificial intelligence (AI) systems in healthcare context, through a structured literature review, analysis and synthesis of academic literature published between 1990 and 2024.

This study aims to advance the domain of empathy in AI by adopting theory constructs context method approach using the PRISMA 2020 framework.

The study presents a current state-of-the-art literature to review the connections between empathy and AI and identifying four clusters showing the emerging trajectories in the field of AI and empathy in healthcare setting.

Despite a rise in empirical research, the potential pathways enhancing AI accountability by incorporation of empathy is unclear. The research aims to contribute to the existing literature on AI and empathy in the healthcare sector by carving out four distinct clusters depicting the future research avenues.