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Machine learning (ML), and deep learning in particular, is gaining traction across a myriad of real-life applications. Portfolio management is no exception. This paper provides a systematic literature review of deep learning applications for portfolio management. The findings are likely to be valuable for industry practitioners and researchers alike, experimenting with novel portfolio management approaches and furthering investment management practice.

This review follows the guidance and methodology of Linnenluecke et al. (2020), Massaro et al. (2016) and Fisch and Block (2018) to first identify relevant literature based on an appropriately developed search phrase, filter the resultant set of publications and present descriptive and analytical findings of the research itself and its metadata.

The authors find a strong dominance of reinforcement learning algorithms applied to the field, given their through-time portfolio management capabilities. Other well-known deep learning models, such as convolutional neural network (CNN) and recurrent neural network (RNN) and its derivatives, have shown to be well-suited for time-series forecasting. Most recently, the number of papers published in the field has been increasing, potentially driven by computational advances, hardware accessibility and data availability. The review shows several promising applications and identifies future research opportunities, including better balance on the risk-reward spectrum, novel ways to reduce data dimensionality and pre-process the inputs, stronger focus on direct weights generation, novel deep learning architectures and consistent data choices.

Several systematic reviews have been conducted with a broader focus of ML applications in finance. However, to the best of the authors’ knowledge, this is the first review to focus on deep learning architectures and their applications in the investment portfolio management problem. The review also presents a novel universal taxonomy of models used.

This study aims to investigate the impact of earnings predictability and truthfulness on nonprofessional investors’ investment willingness.

Earnings predictability is captured by quarterly earnings autocorrelation, and earnings truthfulness is indicated by real earnings management (REM). The average of investment attractiveness and willingness measures investment willingness. The authors use experiments to isolate the impact of quarterly earnings autocorrelation and REM on investors’ investment behaviors.

From the 2 × 2 design, the authors observe that investors weight more on earnings predictability than earnings truthfulness.

The generalization of the findings may be constrained for the following reasons. First, the authors use only one proxy, REM, to measure earnings truthfulness. In addition, the authors provide the participants, Amazon Mechanical Turk, with earnings predictability. Results may no longer hold if each participant has different understanding and analysis of earnings predictability.

In periods of unprecedented and severe financial uncertainty (i.e. the COVID-19 pandemic), investors rely more on earnings predictability than on earnings truthfulness. The study assists managers to strategically emphasize the predictability of earnings to attract investors, especially when firms face financial challenges or uncertainty.

This study contributes to understanding investor behavior and the critical role of earnings predictability and truthfulness in shaping investment decisions.

This paper contributes to the literature of earnings properties in financial reporting, particularly by shedding light on the nuanced interplay between earnings predictability and earnings truthfulness. The research also demonstrates that elevated earnings autocorrelation indirectly stimulates investment willingness by enhancing the investors’ perception of earnings persistence of targeted firms.

This study aims to develop and test a model of the antecedents, mediators and consequences of the glass cliff phenomenon through public sector service organizations in Iran to explore more insights on gender inequality in managerial positions.

The current research was conducted based on a mixed-method approach, using both qualitative and quantitative research designs. First, the qualitative method includes content analysis by conducting semi-structured interviews with 20 university professors and expert managers working in public sector service organizations in Iran. The outcomes of the qualitative phase lead to designing the conceptual framework and research hypothesis. Then, through a quantitative phase, 384 female managers working in public sector service organizations in Iran are selected using stratified random sampling and fill out the research questionnaire. The exploratory factor analysis was used to verify the model. Moreover, structural equation modeling, using AMOS 24, was used to test the research hypothesis.

The findings of the qualitative phase were represented in three categories including antecedents (e.g. the characteristics of women’s leadership, the selection of women based on meritocracy criteria, women’s preferences and organizational factors), mediation effect (e.g. succession planning, personal development planning and support networks) and consequences of the glass cliff phenomenon (e.g. positive and negative consequences). The results of the exploratory factor analysis show there are ten components, explaining 88.5% of variances. Moreover, the test of the structural model supports the direct effect of antecedents on the glass cliff phenomenon. The results also show the effect of the glass cliff phenomenon on consequences through mediation effects.

There are some limitations that can be addressed by other researchers. Accordingly, the limited number of female managers in Iran prevented larger quantitative research. Moreover, the current research only found casual and mediation consequences of the glass cliff phenomenon, and potential moderators were not considered in this study.

The present study’s innovations may include using a mixed-method approach to investigate the antecedents, mediators and consequences of the glass cliff phenomenon in this study and examining the model constructs in some public sector service organizations. This research may provide a deep understanding of the antecedents, mediators and consequences of the glass cliff phenomenon by finding new factors using a mixed-method approach.

The purpose of this paper is to extend the study of work-life balance (WLB) by exploring the influence of WLB amongst older workers. Theoretically, this study suggests that the psychological benefits of age on relationships between WLB and well-being might be stronger for those “younger” older workers than those working toward or beyond retirement age. This study tests a moderated mediation model whereby the effects of WLB on anxiety and depression (through job stress) are moderated by age.

Survey data from 512 New Zealand employees in three older age cohorts (55–59 years, 60–64 and 65+ years).

This study finds that WLB reduces job stress and leads to lower anxiety and depression. Job stress positively influences anxiety and depression and partially mediates the influence of WLB. Significant interaction effects are found by age, with the lower age cohort (55–59 years) reporting the strongest benefits from WLB and this effect reduces as employees get older but remains significant.

Even when focusing on older workers, the findings show younger older workers elicit stronger benefits from WLB toward well-being, although all age groups find WLB beneficial.

This paper offers novel insights into the question of whether the importance of WLB for well-being differs among older workers.

Energy poverty is a global phenomenon, but its prevalence is enormous in most African countries, with a potential impact on quality of life. This study aims to investigate the impact of energy poverty on the shadow economy.

The study uses panel data from 45 countries in Africa over a period of 1996–2018. Using panel cointegrating regression and panel vector auto-regression model in the generalized method of moments technique.

This study provides that energy poverty deepens the size of the shadow economy in Africa. It also documents that there is a bidirectional causality between shadow economy and energy poverty. Therefore, the two variables can predict each other.

The study suggests that lack of access to clean and modern energy services contributes to the depth of the shadow economy in Africa. African authorities are advised to strengthen rural and urban electrification initiatives by providing adequate energy infrastructure so as to reduce the level of energy poverty in the region. To ensure energy sustainability delivery, the study proposes that the creation of national and local capacities would be the most effective manner to guarantee energy accessibility and affordability. Also, priorities should be given to the local capital mobilization and energy subsidies for the energy poor. Energy literacy may also contribute to the sustainability and the usage of modern energy sources in Africa.

Previous studies reveal that income inequality contributes to the large size of shadow economy in developing economies. However, none of these studies analyzed the role of energy poverty and its implications for underground economic operations. Inadequate access to modern energy sources is likely to deepen the prevalence of informality in developing nations. Based on this, this study provides fresh evidence on the implications of energy deprivation on the shadow economy in Africa using a heterogeneous panel econometric framework. The study contributes to the literature by advocating that the provision of affordable modern energy sources for rural and urban settlements, and the creation of good energy infrastructure for the firms in the formal economy would not only improve the quality of life but also important to discourage underground economic operations in developing economies.

Globally, prefabrication in housebuilding has evolved as an innovative approach to attain sustainability and affordability. However, the SC, including non-producers and producers, of prefabricated housebuilding projects is still not perceptually aligned, hindering innovation diffusion. This paper investigates the contemporary industry perspective on PHB for conceptualisation, market share and growth, innovation diffusion and the producer's role in the context of New Zealand.

An exploratory qualitative research design was chosen to learn the perceptual stance of the industry. A semi-structured survey was conducted, followed by interviews with selected supply chain participants, who were producers and non-producers and had relevant experience in the PHB industry.

This study reports the common terminologies used by supply chain members, with justification and explanation. Further, the perceived market share and growth of the PHB industry are obtained and compared with subsequent studies to determine the capability and capacity. The perception of the diffusion of PHB by type is reported to portray the overall trend of the industry. In the last, the role of producers as the suppliers of PHB projects is investigated to establish the stakeholder positional criticality.

This study can help researchers and practitioners gain insight into the PHB industry from a multi-dimensional perspective. This study is a potential first step to formalise the policy, programme, strategies and action plan for the uptake of the PHB in the New Zealand.

PHB diffusion in the supply chain perspective, considering multi-dimensional aspects, has not been considered in previous studies as government agencies produce most of the literature. This academic research establishes the theoretical linkage towards PHB diffusion and reports the current status.

Romanian women migrant entrepreneurs (RWMEs) are amongst the largest EU migrant communities in the UK and make significant socioeconomic contributions to both their host and origin nations, but academic research and policy discussions have ignored them. Intersectionality raises complex contextual issues that require comprehensive examination and inclusive policies and programmes. This study is aimed at exploring how Romanian women migrant entrepreneurs experience their transnational intersectional journeys of belonging, as they create, negotiate and enact their intersectional identities of the country of origin, gender and being entrepreneurs in the UK and Romania.

This Interpretative Phenomenological Analysis (IPA) draws on draws upon Crenshaw's (1991) intersectional and Social Identity theories (Tajfel and Turner, 1979) to investigate how nine interviewed RWMEs have experienced their transnational journeys of acculturative belonging in the UK and Romania.

The study findings show how RWMEs undo and negotiate their intersecting identities to adhere to socio-cultural standards in both their host and native nations. In the UK, they feel empowered as women entrepreneurs, but in patriarchal Romania, their entrepreneurial identity is revoked, contradicting the prescribed socio-cultural roles.

This study responds to the call regarding inequalities in entrepreneurship opportunities (Vershinina et al., 2022). By focussing on the understudied community of RWMEs and exploring new intersectional and transnational contextual insights, it contributes to the literature and practice of migrant entrepreneurship. These empirical findings are essential for the development of evidence-based, disaggregated entrepreneurship programmes and policies.

This study responds to the call regarding inequalities in entrepreneurship opportunities (Vershinina et al., 2022). By focussing on the understudied community of RWMEs and exploring new intersectional and transnational contextual insights, it contributes to the literature and practice of migrant entrepreneurship. These empirical findings are essential for the development of evidence-based, disaggregated entrepreneurship programmes and policies.

This study aims to stimulate scholarly attention and practical application pertaining to individuals recognized as “Docs.” Through conducting a comprehensive analysis and acquiring a profound understanding of its many connotations, the objective is to shift attitudes and approaches concerning those who are seen to possess knowledge and value within society.

For this study, culturally relevant pedagogies were used as theoretical frameworks in addition to Sankofa and concept explication being used as methodologies.

The authors identified three themes: (1) honorary cultural practice-community nomination of “professahs” and “docs,” (2) (Black) robinhoods – cultural signifiers of distinction and relatability and (3) docs as catalysts – elevating community via consciousness, trust and mentorship as significant understandings of this distinction.

The study emphasizes the importance of “Docs” in both academic and social contexts. The role of “Docs” serves to alleviate potential conflicts of being a Black intellectual. This study further reveals the ways in which Docs align with, promote or possibly undermine established frameworks of thought. Finally, this study provides institutions with opportunities to consider strategies for the utilization, recognition and integration of individuals who are frequently overlooked or undervalued.

This study aims to explore the self-efficacy of social studies teacher education working with lesbian, gay, bisexual, transgender and queer (LGBTQ) preservice teachers, teaching LGBTQ content in their methods courses, and helping the preservice teachers they teach in those classes reduce their bias and prejudice against LGBTQ individuals.

This study, framed by self-efficacy theory, employs a mixed methods approach, qualitative semistructured interviews (n = 6) and quantitative (Likert-scale) survey questions (n = 174).

Participants reported high self-efficacy in working with LGBTQ students but showed decreased efficacy in teaching about LGBTQ content and helping reduce preservice teacher LGBTQ bias. Participants suggested that time in the curriculum, lack of knowledge about LGBTQ topics/issues, and the lack of institutional support are some of the leading barriers to LGBTQ inclusion in the social studies teacher preparation curriculum.

This is the only work conducted at this scale to examine social studies teacher educators' self-efficacy in LGBTQ-inclusion in methods courses. It has implications for increasing this self-efficacy to help make P-16 social studies education LGBTQ-inclusive.

Though there is an increasing corpus of work on contemporary styles of leadership, studies on distributed leadership (DL) are still in the nascent stage. Therefore, the purpose of this paper is to investigate how DL affects team effectiveness from the neglected perspectives of team cognition, team motivation and team coordination in startup companies using multi-level analysis.

The authors investigated the study variables through the lens of 42 teams in 18 startup organizations operating in India, representing an equitable distribution of the manufacturing and service sectors. M-plus was used to do statistical analysis on the multi-level model.

Drawing upon social exchange theory (SET), results indicated that DL had a favorable impact on team effectiveness and team cognitive processes, team motivation and team coordination mediates the association between DL and individual perceptions of team effectiveness.

Various studies have been carried out relating to leadership and how it impacts effectiveness. However, as far as the authors know, previous studies have failed to empirically address how DL drives team effectiveness by uncovering the mediating impact of team cognitive processes, team motivation and team coordination in the Indian startup context.