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This research aims to study a broad range of sustainability aspects and develop a set of indicators with their subjective relevance to each of the sustainability dimensions that will help to improve the sustainability level of the water system of Nur-Sultan (Kazakhstan).

The broader list of indicators (which were identified through a thorough review of the literature) was assessed by water-related industry professionals and experts who were asked to assess the compliance of suggested indicators to five criteria of sustainability using a Likert scale.

It was found that the highest-ranked indicators across all five categories were mainly related to the chemical and physical quality of water, followed by availability of individual water meters as well as water supply tariffs' adjustment to users' income, and issues of ageing infrastructure. The lowest-ranked indicators among all categories were mainly related to investments into research and development, water management and awareness, feedback systems and flexibility. The least ranked indicators are seen to be more related to the scenarios when basic needs are covered and the stakeholders have extra time and resources for advancing the levels of water infrastructure sustainability.

The ranked and categorized indicators can be used as a powerful decision-making tool to improve the sustainability of the water system of Nur-Sultan or any other city in a developing country.

By conducting this study, it was aimed to address the aforementioned gap in the field in terms of running a wider scope assessment of indicators rather than looking at conventional environmental and socio-economic aspects. This provides novelty to the study, especially in the context of developing countries that need more guidance in terms of sustainable development of the water-related infrastructure.

This study analyses the threshold for debt of corporations under the debt-bias corporate tax system. We adopt a contingent claim model of the corporation to reflect the incentive effect of the debt-bias corporate tax system. This framework is based on aspiration level theory and the required probability for the successful completion of a project that is identical to decision weight probability in prospect theory. The proposed framework incorporates the debt-bias tax regulations prevailing in Organization for Economic Co-operation and Development (OECD) countries. When the OECD countries’ financial and non-financial corporation data were applied into framework, we observe that the government achieve equilibrium by employing contradictory corporate tax regulations. Moreover, we observe that corporations are intrinsically equity-loving, although the debt-bias corporate tax system stimulates corporations toward debt. This situation makes the government corporate revenue sensitive by placing it at the disposal of corporations’ financing choice instead of corporate profitability. The corporations’ threshold for debt assists in distinguishing between debt and equity-loving corporations. Moreover, corporations’ threshold for debt assists policy makers in deciding the appropriate combination of such reform policies as the Allowance on Corporate Equity and Comprehensive Business Income Tax. A transition from debt-oriented capital structure to equity-oriented capital structure may play an important role in promoting Islamic finance.

Informal female entrepreneurship (IFE) represents a significant yet understudied dimension of economic activity globally. This research aims to conduct a systematic literature review (SLR) on IFE.

This SLR delves into the intricate landscape of IFE, examining scholarly contributions sourced from the Web of Science Social Sciences Citation Index database.

By synthesizing existing literature, this review sheds light on the multifaceted dynamics surrounding IFE, encompassing factors such as socioeconomic contexts, cultural influences and institutional frameworks. Moreover, this study underscores the importance of addressing the unique challenges and opportunities faced by women engaged in informal entrepreneurial activities. In doing so, it not only enriches our understanding of female entrepreneurship but also underscores the need for tailored policies and interventions to support women in these endeavours.

This inquiry’s relevance stems from the pivotal role that women play in informal economies, which often remain obscured by traditional economic metrics. This review contributes to the scholarly discourse by proposing a research agenda to advance knowledge and inform future investigations into this critical domain.

The purpose of this paper is to analyze the effects on quality-related learning resulting from the use of the quality cost information (QCI). Specifically, this paper analyzes to what extent the diagnostic and interactive uses of QCI contribute to improve quality-related learning.

The proposed model was tested using a structural equation modeling procedure with AMOS and the data were collected through a questionnaire survey conducted on a sample of Portuguese certified companies.

The results shed light on expected relationships since the interactive style of use of QCI, unlike the diagnostic style of use, has a positive effect on quality-related learning. However, the diagnostic use of QCI was found to be a predecessor of the interactive use of QCI, in line with previous studies. Finally, diagnostic use of QCI exerts an indirect positive impact on quality-related learning through the interactive use of QCI.

This paper contributes to the body of research on the use of interactive and diagnostic systems, providing evidence that a balance between those systems improves quality-related learning.

The results show that the use of QCI to promote participation, dialogue and involvement of all participants (according to an interactive style of use), and not just to control the accomplishment of predetermined objectives (according to a diagnostic style of use), is a necessary condition for quality-related learning.

Despite the wide-ranging literature focused on the identification, measurement and reporting of QCI, less attention has been paid to how this information is used in the management process. The way in which the use of QCI can contribute to the improvement in quality-related learning is also an unexplored topic in the literature.

The purpose of this paper is to assess next hour load forecast in medium voltage electricity distribution.

The methodological approach used in this paper, is based on a regressive method – artificial neural network. A real life case study is used for illustrating the defined steps and to discuss the results.

The presence of a de‐regulated environment reinforces the need of short‐term forecast algorithms (STLF). Actions like network management, load dispatch and network reconfiguration under quality of service constraints, require reliable next hour load forecasts. Methodological approaches based on regressive methods such as artificial neural networks are widely used in STLF, with satisfactory results. The construction of an “efficient” artificial neural networks goes through, among other factors, the construction of an “efficient” input vector (IV), in order to avoid over fitting problems and keeping the global simplicity of the model. The explanatory variables normally used, are grouped in two major classes, endogenous and exogenous. The endogenous variables are load values in past instants, and the exogenous variables are normally climatic. The main findings with this kind of vector presents satisfactory results compared to other proposals in the literature.

This paper makes use of a procedural sequence for the pre‐processing phase that allows capturing some predominant relations among certain different sets of the available data, providing a more solid basis to decisions regarding the composition of the IV. To deal with load increasing during the winter period, the forecast average daily temperature was used in order to produce an indicator of the daily load average for the forecast day. This information brings more accuracy to the model.

To overcome economic hardship and survival, informal entrepreneurs must continually activate specific resilience capabilities and reassess their entrepreneurial intentions (EI). Accordingly, they may develop transformational characteristics to design a model supporting intersectorial business growth. This study aims to examine the EI ecosystem of change resulting from the above endeavors and proposes an entrepreneurial intention transformation model (EITM).

Using the EI questionnaire developed by Liñán and Chen, data was collected from street vendors in the main markets of the Cameroonian capital (N = 307) to capture the determinants of behavior reflecting the propensity to activate entrepreneurial events within informal ventures.

It was uncovered that perceived collective support, resilience, orientation capability and inferred policies influence the dynamics of EI in the informal sector. Additionally, while revisiting current entrepreneurial lifecycle models, the study distinguished between the entrepreneurial events of “renegare” and formalization. Furthermore, the construction of an informal entrepreneurial lifecycle model confirms the need to acknowledge the formalization and “deformalization” processes as integrative parts of an intersectorial entrepreneurial lifecycle model.

This study extends existing research by proposing an intersectorial entrepreneurial lifecycle to recognize the dynamics of EI on ventures’ formalization. The EITM encompasses the EI dynamic process model and the proposed entrepreneurial lifecycle.

This study examines the impact of raising the ceiling value of Electronic Commerce Custom Declarations (ECCD) on Turkey's export performance processed via ECCD during the COVID-19 period.

This paper examines the impact of the pandemic conditions on Cross-Border Electronic Commerce (ECCD) exports from Turkey to 47 countries over 42 months before and during the pandemic. An empirical analysis using the Pooled Mean Group (PMG) and Mean Group (MG), Panel Autoregressive Distributed Lag (ARDL) approach was conducted to identify the factors affecting export flows.

The findings suggest that raising the ceiling of the ECCD trade is a vital factor in increasing exports. and this result is robust after controlling for pandemic conditions. On the other hand, although the COVID-19 shock mitigates the export volume of ECCD in the short run, it changes by reversal and increases the export level in the long run. Additionally, the number of COVID-19 cases and deaths in Turkey have a significant and negative impact on export flows in the short run, while they have a positive and significant effect in the long run.

The results of this study have practical implications for policymakers, emphasizing the potential and significance of Cross-Border E-Commerce (CBEC) trade.

The study is a pioneering effort in the literature of CBEC to explore how changes in the upper limit on customs declarations can affect export flows, taking into account the impact of the COVID-19 pandemic.

This paper seeks to systematically review and synthesise existing research knowledge on African women entrepreneurship to identify gaps for future studies.

The paper conducted a systematic literature review of published studies from 1990 to 2020 on women entrepreneurship in Africa using a 5M gender aware framework of Brush et al. (2009).

The systematic literature review of published studies found the fragmentation, descriptive and prescriptive orientation of studies on Africa women entrepreneurship and devoid of theoretical focus. Further, women entrepreneurship studies tended to be underpinned from various disciplines, less from the entrepreneurship lens, mostly quantitative, and at its infancy stage of development. With a primary focus on development, enterprise performance and livelihood, studies rarely attended to issues of motherhood and the nuanced understanding of women entrepreneurship’s embeddedness in family and institutional contexts of Africa.

The paper questions the view that women entrepreneurship is a “panacea” and unravels how family context, customary practices, poverty and, rural-urban and formal/informal divide, significantly shape and interact with African women entrepreneurs’ enterprising experience and firm performance.

The findings and analyses indicate that any initiatives to support women empowerment via entrepreneurship should consider the socially constructed nature of women entrepreneurship and the subtle interplay of the African institutional contexts’ intricacies, spatial and locational differences which significantly influence women entrepreneurs’ choices, motivations and goals for enterprising.

The paper contributes to a holistic understanding of women entrepreneurship in Africa by using a 5M framework to review the research knowledge. In addition, the paper not only identifies unexplored/or less examined issues but also questions the taken-for-granted assumptions of existing knowledge and suggest adoption of context- and gender-sensitive theories and methods.

The purpose of this study is to formulate an algorithm designed to discern the optimal routes for efficient municipal solid waste (MSW) collection.

The research method is simulation. The proposed algorithm combines heuristics derived from the constructive genetic algorithm (CGA) and tabu search (TS). The algorithm is applied in a municipality located at Southern Brazil, with 40,000 inhabitants, circa.

The implementation achieved a remarkable 25.44% reduction in daily mileage of the vehicles, resulting in savings of 150.80 km/month and 1,809.60 km/year. Additionally, it reduced greenhouse gas emissions (including fossil CO₂, CH₄, N₂O, total CO₂e and biogenic CO₂) by an average of 26.15%. Moreover, it saved 39 min of daily working time.

Further research should thoroughly analyze the feasibility of decision-making regarding planning, scheduling and scaling municipal services using digital technology.

The municipality now has a tool to improve public management, mainly related with municipal solid waste. The municipality reduced the cost of public management of municipal solid waste, redirecting funds to other priorities, such as public health and education.

The study integrates MSW collection service with an online platform based on Google MapsTM. The advantages of employing geographical information systems are agility, low cost, adaptation to changes and accuracy.

This article aims to examine the challenges faced by highly skilled expatriates (i.e. professionals and managers) from the Indian subcontinent (i.e. India and neighboring countries) as they attempt to advance their careers in Australia. Extant literature has revealed significant gaps between policies for skilled migration proposed by governments in developed countries and the response to policies by organizations in those countries. By employing the theories of habitus, disembedding, sensemaking and acculturation as frameworks for analysis, the authors explore and explain how these expatriates settle and integrate into their new lives and careers as they resolve their experience of habitus.

This study employed phenomenology and narrative research techniques using 21 in-depth, semistructured interviews with expatriate professionals from India, Pakistan, Sri Lanka and Bangladesh to explore and examine their expatriation experiences and their occupational progress in Australia.

The findings reveal that on migrating to Australia, expatriate professionals are uprooted from their home country habitus and thrust into new conditions that cause them to lose their cultural, economic, intellectual and social capital, which further leads them into a state of “disembeddedness.” These highly skilled expatriates then rely on sensemaking and acculturation to resolve their crisis of habitus. The authors also found that gender is a significant factor in this process, as female expatriates faced more career-related barriers compared to their male counterparts.

This article brings into focus previously unexamined avenues of expatriation research and proposes a novel theoretical framework that is instrumental in explaining the settlement and integration process of highly skilled professionals from emerging nations.