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This study explores the contributions of fly ash, bottom ash and biomass ash from coal and biomass power plants for enhancing circular economy of construction sectors in emerging economies.

This research investigates their applications in construction, emphasizing their role in reducing environmental impact and promoting circular economy principles. Through a qualitative analysis using data from structured interviews with 41 involved stakeholders, the study highlights the economic and environmental benefits of integrating these by-products into business operations.

Currently, the cement and concrete industries can successfully adopt almost 100% fly ash, but logistic optimization is necessary to address the wet fly ash problem. The practical applications of bottom ash pose disposal challenges due to their poor adoption. Biomass ash can be alternatively implemented as a soil amendment and fertilization in the agriculture industry while current growth seems significant with the shift to a clean energy policy.

This research underscores the importance of policy support and collaboration between industry stakeholders to maximize the sustainable potential of these by-products in an emerging economy context.

The sustainability development goals (SDGs) were well-established in developing economies. Nevertheless, the literature review indicates that there is a lack of understanding regarding their backgrounds, influencing factors, challenges and practical applications for the circular economy.

Depression has become one of the most serious and prevalent mental health problems worldwide. The rise and popularity of social networks such as microblogs provides a wealth of psychological data for early depression detection. Language use patterns reflect emotional states and psychological traits. Differences in language use between depressed and general users may help predict and diagnose early depression. Existing work focuses on depression detection using users' social textual emotion expressions, with less psychology-related knowledge.

In this paper, we propose an RNN-capsule-based depression detection method for microblog users that improves depression detection accuracy in social texts by combining textual emotional information with knowledge related to depression pathology. Specifically, we design a multi-classification RNN capsule that enhances emotion expression features in utterances and improves classification performance of depression-related emotional features. Based on user emotion annotations over time, we use integrated learning to detect depression in a user’s social text by combining the analysis results with components such as emotion change vector, emotion causality analysis, depression lexicon and the presence of surprising emotions.

In our experiments, we test the accuracy of RNN capsules for emotion classification tasks and then validate the effectiveness of different depression detection components. Finally, we achieved 83% depression detection accuracy on real datasets.

The paper overcomes the limitations of social text-based depression detection by incorporating more psychological background knowledge to enhance the early detection success rate of depression.

This paper acknowledges the limitations of conventional heritage conservation, where the reuse of iconic modern houses as museums or exhibits often sacrifices their original residential function. We explore four aspects of the narrative approach – significance, reversibility, expandability and craftsmanship – to assess its potential for preserving and allowing change over time in the modern house.

Four iconic modern houses are analysed in this study: Villa Tugendhat-Brno frozen as a museum house, Chabot Museum-Rotterdam refunctioned as an art museum, Haus Schminke-Löbau used as a guest house and Maison Guiette-Antwerpen still in use. Employing aspects of the narrative approach (Walter, 2020a, b), the analysis evaluates recent heritage management practices in preserving the building’s multifaceted history and associated perspectives.

The narrative approach in heritage conservation values the evolving significance of cultural heritage by recognising different perspectives and preserving the traces of past changes. It promotes sustainability by enabling adaptive reuse while preserving historical integrity by respecting past and future heritage. Despite its obvious weaknesses, such as potential subjectivity, the dilution of valuations and the loss of historic fabric, it particularly responds to the ephemeral nature and challenges of modernity.

The cross-case analysis of practical conservation approaches, encompassing varied strategies for conservation and adaptive reuse, offers valuable insights for theorizing the significance of modernist architecture for both the present and future.

This paper aims to explore the efforts of four American women living with psychosis to chart their recovery process in published memoirs.

This paper looks at the different types of stigma that the patient-authors claim to encounter.

The author discusses the impact that the patient-authors see stigma as having on their recovery, and why they need artistic spaces to express themselves.

The memoirs offer a space for the women to revisit their memories of psychosis, and to achieve at least a partial acceptance of these experiences.

Entrepreneurship and the disciplines of science, technology, engineering and mathematics (STEM) are considered important drivers of innovation. At the same time, the representation of women entrepreneurs in STEM remains low. Despite this disparity, a number of women still choose to start ventures and persist in pursuing their innovations in STEM. This study aims to examine the motivational factors that drive women entrepreneurs to approach and consistently pursue their innovations and ventures in STEM.

Drawing on the concept of the heterogeneity of motivational factors (Graham and Bonner, 2022) and Social Cognitive Theory (Bandura, 1986, 2001; Wood and Bandura, 1989), 24 semi-structured interviews were conducted with women entrepreneurs in STEM. This approach allowed for an in-depth exploration of the heterogeneous motivational factors influencing women entrepreneurs in STEM.

The motivations of women entrepreneurs in STEM are multifaceted, interrelated and dynamic. They encompass personal and cognitive, behavioral and environmental factors and partly change over time. This study reveals two levels of heterogeneity: the heterogeneity of women entrepreneurs’ entrepreneurial motivations, and the within-context heterogeneity of women entrepreneurs in STEM themselves.

This study addresses the need for a deeper understanding of women entrepreneurs in STEM. By focusing on nuanced aspects of entrepreneurial motivations that are often overlooked in the existing literature, this research provides valuable insights and discusses implications for theory, policy and education.

This study draws on the Social Process of Leadership (SPL) to identify the necessary behavioural leadership characteristics for trust-building in virtual crisis environments.

The study employs an in-depth qualitative case-study approach that is embedded in local contexts. Multiple sources of data – organisational documents, in-depth qualitative interviews, observational evidence and field notes – were used in the study. Interviews were informed by a purposeful sampling strategy and were semi-structured. This allowed the interviewer to use prompts to follow up with unanticipated issues raised by participants. Thematic analysis was conducted using NVivo.

Three key themes (related to how leaders nurture trust in virtual and crisis contexts) emerged from the data. These relate to nurturing trust by (1) optimising and providing a clear vision through reconfigured and personalised communication structures; (2) minimising uncertainty, optimising and modelling values-based behaviours and (3) enhancing adaptability and performance.

The study extends the applicability of this theoretical approach to remote workplaces. It also contributes to the literature on crisis leadership by showcasing how leaders’ crisis responses based on SPL help organisations navigate disruptions. Limitations regarding the small sample size and the one case study context exist.

Organisations should invest in leadership and resilience and build strong remote/hybrid working models in preparation for future crises.

Despite the growing popularity of SPL, there is limited work on how leaders implement SPL processes to build and maintain trust in virtual workplaces. Furthermore, SPL has not yet been applied in highly disruptive work contexts, like those created by the pandemic.

Recent surges in inflation have posed significant challenges for Türkiye, with the annualinflation rate culminating at 83.45% by the close of 2022. The purpose of the study is to take a closer look at the details behind the rising inflation trend in Türkiye.

Due to the time-varying nature of the relationship of the variables, dynamic conditional correlation-generalized autoregressive conditionally heteroscedastic (DCC-GARCH) models and the Markov switching model are used as analytical tools. Leveraging the DCC methodology proposed by Tse and Tsui (2002), this study examined time-varying correlations, while the effect of the weighted sum of past correlations was captured using the DCC-GARCH approach introduced by Engle (2002).

The findings from the DCC models highlight that the exchange rate plays the most pivotal role in influencing inflation, closely followed by the money supply. In addition, the Markov switching analysis, rooted in the Phillips curve concept, identified two statistically significant regimes. The results emphasize that components of the money supply and the exchange rate stand out as primary drivers of Türkiye’s heightened inflation rates. To promote sustainable development in Turkey, the Central Bank should focus on inflation targeting, managing the money supply to align with GDP growth and adopting adaptive inflation responses.

To the best of the authors’ knowledge, this paper is the first attempt to use a combination of the DCC and Markov switching models to examine Turkish inflation from December 2005 to October 2022, according to a thorough review of previous research. Such an innovative method provides a new perspective on inflationary patterns throughout this time. In addition, this study departs from traditional approaches by including money supply measures in the analysis.

The interactive relationships of farmers with institutions and other individuals create the context of succession intention – “farm embeddedness”. This context shapes in long-term self-efficacy of farmers. The main goal of this paper is to study the contextual drivers of the choice of succession paths in small-scale farms which dominate in Eastern European countries. The studied pathways, ordered by farmers’ self-efficacy are “no succession”, “conditional succession”, “unconditional internalised succession” and “unconditional externalised succession”.

We used a sample of 1,683 small farms from three Eastern European emerging markets: Romania, Moldova and Serbia. The likelihood of choosing a given succession path is analysed using a multinomial logit model; contextual drivers of succession are selected based on the theory of embeddedness.

We found that more-educated and more-efficient small-scale farmers are less likely to pass on their farms because of a kind of “glass ceiling”, so they do not want such a difficult future for their children. The most important determinant of unconditional/internalised succession is the successor formation through “training on the farm”. Some formal institutions operating in the agricultural sector hinder self-efficacy and thus unconditional succession.

Most of the papers lack a theoretical background while demonstrating that economic drivers are crucial to succession. The embeddedness theory argues that economic activities are always anchored in a social structure. We contribute to this theory by showing that the embeddedness in social networks is more important than economic factors when smallholders transfer their farms to successors in post-socialist countries. In addition, we attempt to identify which particular types of social networks are most relevant to the multi-stage process of farm transfer, and we outline several transfer scenarios using the concept of self-efficacy.

In electrical discharge machining (EDM) process, EDM oil used as a dielectric fluid plays an important role in determining quality of the machining operation, serving as a medium to generate controlled electrical discharges, quenching medium to cool down and solidify the eroded gaseous particles, removal of solidified waste, and lubrication medium to absorb and remove the heat generated at the machining zone. Due to presence of numerous decisive factors, no single dielectric fluid (mainly in the form of EDM oil) meets all the required characteristics during a real-time EDM operation. Thus, this paper proposes application of an integrated methodology to select the most appropriate EDM oil for enhanced machining performance during deep-hole drilling of aluminum bronze alloy.

A good dielectric fluid should possess several characteristics, like low cost, non-toxicity, low viscosity, good wetting property, high flash and fire points to avoid fire hazards, chemically non-corrosive, high electric strength and specific gravity, minimal aromatics and good quenching behavior. In this paper, performance of 10 alternative EDM oils is evaluated based on six selection criteria. Integrated determination of objective criteria weights (IDOCRIW) method is adopted to compute the criteria weights, whereas double normalization-based multiple aggregation (DNMA) approach is applied to identify the best-suited EDM oil from the candidate alternatives.

Spark SPO-A EDM oil appears as the most suitable dielectric fluid, followed by Fine Spark 110. Contrarily, Exxsol D80 emerges as the worst choice.

The robustness of the adopted methodology is finally validated through sensitivity analysis studies. It can thus be applied to solve any of the decision-making problems with high degree of accuracy and consistency.