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The paper analyzes the relative technical efficiency of the transition economies of the Western Balkans in the period 2007–2021, in comparison with the former countries with a socialist state system, today members of the European Union (EU), based on selected macroeconomic indicators and panel data.

Data envelopment analysis (DEA), i.e. its extension, DEA Window analysis, is applied. Total technical efficiency, as a prerequisite of economic efficiency, is decomposed into pure technical efficiency (PTE) and scale efficiency (SE). Bootstrapping method and Mann–Whitney U test were used to check the robustness of the obtained results, i.e. efficiency values.

The results show that in 2020, all observed countries recorded a significant drop in economic efficiency as a result of a general, disproportionate drop in the value of selected macroeconomic variables, which occurred due to the global economic crisis and the slowdown in economic activity caused by the COVID-19 pandemic. This drop in efficiency was significantly greater in the former socialist states, now members of the European Union, which showed their greater sensitivity to global crises. None of the observed economies in the observed period was relatively efficient, that is, at the level of best practice, which occurred primarily as a consequence of the inefficiency of business conditions expressed in the economies of scale.

The main limitation of this study stems from the very nature of the concept of DEA efficiency, which is relative in nature. Also, the results and their interpretation are also significantly influenced by the choice of model variables, as shown by Lábaj et al. (2013), as well as a small number of decision-making units (DMUs). The mentioned limitations prevent unambiguous interpretation and generalization of the obtained results.

The study may be of importance to economic policy makers in macroeconomic decision-making. The application of the DEA concept in measuring the technical efficiency of national economies is a useful tool in the analysis of macroeconomic performance and a benchmarking approach for positioning and achieving competitive advantage on the international market.

Since research of this type is very limited, the results of this study make a theoretical and empirical contribution to the literature, creating a basis for future research and reexamination. The application of the DEA concept in measuring the technical efficiency of national economies is a useful tool in the analysis of macroeconomic performance and a benchmarking approach for positioning and achieving competitive advantage in the international market.

Despite the extensive stimulus–organism–response (SOR) literature, little attention has been paid to the role of marketing activity as a key environmental stimulus, and there is a dearth of research examining the interplay between emotions and cognition on consumer behaviour, as well as the sequential effects of emotions on cognition. To address these gaps, this study aims to develop a revised SOR model by incorporating Kahneman’s fast and slow thinking theory to investigate the impulse buying of affordable luxury fashion (ALF).

The authors use outlet stores at Bicester village (BV) in England as the research context for ALF shopping. Partial least squares structural equation modelling was used to analyse a survey sample of 633 consumers with a BV shopping experience.

The authors find that impulse buying of ALF arises from the interplay of emotional and cognitive factors, as well as a sequential and dual process involving in-store stimuli affecting on-site emotion and in-store browsing.

This study reveals that brand connection has a significant and negative influence on the relationship between on-site emotion and in-store browsing, advancing the SOR paradigm and reflecting the interactive effect of human emotion and reasoning on the impulse buying of ALF items.

Insights into consumers’ impulse buying offer practical implications for luxury brand management, specifically for ALF outlet retailers and store managers.

The results suggest a robust sequential effect of on-site emotion towards in-store browsing on impulse buying, providing updated empirical support for Kahneman’s theory of System 1 and System 2 thinking.

Project complexity (PC) governs project success, but the project management literature primarily focuses on performance measures and rarely examines the complexity factors, especially for megaprojects. This paper aims to determine the most significant complexity factors for the railway megaprojects in India.

A mixed approach using the Delphi and best–worst method (BWM) helped to identify, validate and determine the most critical factors that require intervention to diminish variance from project performance.

The BWM resulted in stakeholder management, followed by organizational and technological complexity as significant complexity factors, and the varied interests of the stakeholder as the most important among the 40 subfactors.

The finding indicates the necessity for strategic, tactical and operational-level interventions to effectively manage the complexity affecting project efficiency because of the varied stakeholders. This paper will guide the project and general managers to prioritize their resources to handle complexity for effective project performance measured in terms of time, cost and quality and help them make strategic decisions. The research findings of this study are expected to help researchers and practitioners in better planning and smoother execution of projects. In addition, this study would help the researchers formulate policies and strategies for better handling of the projects.

This study adds significant value to the body of knowledge related to PC in megaprojects in developing countries. The result of the investigation underlined that nine complexity factors and seven unique subfactors, namely, the sustainable environment, timely availability of information, communication in both directions, interdepartmental dependency and coordination, design, statutory norms, site challenges, socioeconomic conditions, the tendency of staff to accept new technology and the frequent changes in the requirements of stakeholders are significant in railway megaprojects. The BWM is applied to rank the complexity factors and subfactors in the case area.

The study aims to look at the link between horizontal violence (HV) and organizational culture aspects. Bullying and hostility including intergroup conflict are referred to as HV. HV is a significant issue that is encountered in various professions. The different cultural typologies of group, developmental, hierarchical and rational culture have been addressed in this study. Additionally, it is identified that the prevalence of HV in organizations with different cultural dimensions.

Using a non-probability multistage sampling strategy, a quantitative method was used and questionnaires were circulated to collect data from the information technology sector. The data were analyzed using multiple regression analysis.

The findings demonstrated that HV has a positive and substantial association with the group and developmental culture, whereas HV has a negative link with hierarchical and rational culture.

These results provide a valuable tool for human resource managers and policymakers in promoting a healthy work environment and employee interpersonal collaboration, which will improve the organization’s overall performance.

This study is a novel work exploring the HV among employees in technological firms, and also combining the concepts of HV and organizational culture and also assists future researchers in many folds.

Because of the importance of having enough sleep in life and health, this study aims to determine the effect of vitamin D supplementation on sleep quality and pregnancy symptoms (primary outcomes) and side effects (secondary outcome).

In this triple-blind randomized controlled clinical trial, 88 pregnant women with gestational age of 8–10 weeks and serum vitamin D concentration less than 30 ng/ml were allocated into vitamin D (n = 44) and control (n = 44) groups by blocked randomization method. The vitamin D group received a 4,000 IU vitamin D pill, and the control group received a placebo pill daily for 18 weeks. Independent t-, Mann–Whitney U and ANCOVA tests were used to analyze the data.

The post-intervention mean (SD: standard deviation) of total sleep quality score in the vitamin D and placebo group were 1.94 (2.1) and 4.62 (1.71), respectively. According to the Mann–Whitney U test, this difference between the two groups was statistically significant (p < 0.001). The mean (SD) of pregnancy symptoms in the vitamin D and placebo groups was 23.95 (16.07) and 26.62 (13.84), respectively, and there was no significant difference between the two groups based on ANCOVA test (p = 0.56). Considerable side effects were not observed in any groups.

This study was conducted due to the contradictory results of the effect of vitamin D on sleep quality and the high prevalence of sleep disorders and pregnancy symptoms.

Decree Law No. 663 introduced a decentralized organizational structure and administration pertaining to Turkish public hospitals in November 2011. This study aims to explore the effects of the public hospital unions (PHUs), which were a result of Decree Law No. 663, on the efficiency and productivity of public hospitals.

Data envelopment analysis (DEA) and DEA-based Malmquist total factor productivity (TFP) index were used from 2011 to 2016. Raw materials and supply expenses, salaries and fringe benefits, other service costs, general administrative expenses, total number of beds, number of specialists, number of residents, number of general practitioners, number of nurses and midwives and other medical officials were used as input variables. Working capital turnover, number of inpatients, number of outpatients and number of surgical operations for Groups A, B and C were used as output variables.

According to the DEA scores, the percentage of efficient hospitals showed a declining trend from 2011 to 2016. The TFP results also showed a decreasing trend from 2011 to 2016.

Providing administrative and financial autonomy to public hospital managers may cause efficiency and productivity losses, which is contrary to expectations.

This study is the first to reveal the impact of decentralization of public healthcare providers on their performance levels in Turkey.

During a pandemic, risk and uncertainty are the most important factors affecting consumer behavior. Near Eastern marketplaces are undergoing dramatic change during the COVID-19 global pandemic. As a result, this paper aims to investigate the impact of COVID-19 on food shopping habits in four countries of the Near East sub-region, namely, Lebanon, the Palestinian territories, Oman and Qatar.

The research is based on an online survey conducted on 1,456 subjects using a snowball sampling technique. The questionnaire consisted of 24 different questions (multiple-choice, one option) regarding the consequences of the COVID-19 pandemic on food habits such as food shopping, preparation, eating and food waste.

The findings show that consumers’ shopping habits and food sourcing in the region changed due to the risk and uncertainty connected with the COVID-19 pandemic. Firstly, respondents decreased their shopping frequency and, as a result, increased the amount of food purchased each trip. Secondly, because of food safety concerns, respondents boosted their purchases of local products. Thirdly, the data revealed an increase in online food shopping, mainly in high-income countries, namely, Qatar and Oman. Fourthly, the findings revealed significant disparities in food stockpiling behavior across the countries investigated.

The major limitation of this study is the survey bias. The survey respondents were randomly hired. The questionnaire was completed by volunteers who were not rewarded. Only those motivated by a personal interest in the topic took part in the study. The sample had a high number of educated individuals, which does not represent the overall populations of the studied countries. In this case, generalizing the findings is inaccurate. A segment of the population with lower accessibility, such as individuals who are not web-literate, as well as the elderly, poor households and informal workers, especially in the Near East and North African (NENA) region, is often underrepresented in online surveys.

The findings provide insight into how consumers’ food shopping habits have changed due to the pandemic. This and other research will help governments and other organizations better prepare for future disasters and pandemics. The study’s results will also be useful in formulating evidence-based policies for the four countries studied and the NENA area as a whole throughout the post-pandemic recovery phase. The findings, for example, emphasized the necessity of encouraging online shopping by upgrading information and communication technology infrastructure and internet speed, particularly in middle-income and developing countries like Lebanon. Furthermore, in Lebanon and the Palestinian territories, the findings provide insights to international organizations (both humanitarian and development ones) to pay more attention to issues of food and nutrition security to avoid the financial and political crises combined with the COVID-19 health crisis, become a humanitarian crisis for locals as well as the hundreds of thousands of refugees (primarily Syrians in Lebanon). Finally, the pandemic’s long-term impact on food activities and food security must be mitigated by including agricultural and food systems in recovery efforts. Several issues are posing a threat to food systems. Addressing them successfully involves developing cross-disciplinary research that innovates at their intersections to provide different solutions that address the social, economic, technological and policy components of these issues.

The paper’s findings indicate that the pandemic’s consequences will most certainly differ from country to country, based not just on the epidemiologic condition but also, inter alia, on the level of pre-COVID socioeconomic development.

Given the importance of growth-oriented entrepreneurship in the context of economic development and the need to understand how rural communities can be developed, the purpose of this research paper is to determine how the drivers of growth expectations differ between urban and rural settings.

The methodology is threefold: firstly, a descriptive analysis with non-parametric testing is conducted; then pooled regression model is used to analyse the predictors of growth expectations in both contexts, and finally, coarsened exact matching is used to identify possible self-selection bias.

In contrast to mainstream entrepreneurship theory, it is found that entrepreneurs’ intrinsic knowledge, skills and abilities are not significant in the rural-specific model. The only exception is entrepreneurs’ educational level, the importance of which is emphasised as a pivotal factor in increasing high-growth ventures in rural communities. Additionally, when self-selection is eliminated, rurality worsens growth intentions.

There is evidence that some growth-oriented entrepreneurs self-select into rural communities. Because the high-growth entrepreneurial dynamics in rural areas are unique, public policies should target purpose-driven entrepreneurial education. This includes encouraging “lifestyle entrepreneurship” (e.g. retirees returning to rural areas to become entrepreneurs), preventing entrepreneurial brain drain in rural areas and attracting highly educated urban entrepreneurs to exploit opportunities in rural areas.

This research attempts to contribute to the ongoing debate regarding the factors that drive high-growth entrepreneurs in rural areas by analysing rural entrepreneurs in the high-growth context of a developing economy. The focus is on Chile – a country that is rarely investigated compared to the USA or Europe – to extend the literature on high-growth ventures and entrepreneurial ecosystems.

Drawing on the whole-life perspective of career development and the conservation of resources theory, the authors consider whether self-initiated expatriates' (SIEs’) cultural intelligence (CQ) is a general, cross-domain resource that helps SIEs gain resources in the work and nonwork domains. The authors contend that CQ will be associated with greater levels of organizational and community embeddedness, which in turn will facilitate their career satisfaction. The authors also propose the role of perceived host country community diversity climate as an environmental condition that, when low, strengthens the relationships between CQ and organizational and community embeddedness.

The authors examine the study hypotheses based on two distinct samples of SIEs (Sample 1: 169 Asian SIE professionals; Study 2: 147 SIE academics).

SIEs' CQ positively relates to their organizational and community embeddedness, which in turn is associated with greater levels of career satisfaction. The authors also find that SIEs with high CQ are more likely to experience community embeddedness and career satisfaction when they perceive that the host country community diversity climate is low.

First, this study goes beyond existing literature that rarely examines nonwork inputs to SIE career success. Second, extending previous CQ research with a strong organizational focus, the authors investigated how CQ influences SIEs' work and nonwork embeddedness. Third, the authors found that the absence of a peripheral ecological condition, perceived host country community diversity climate, may strengthen the direct relationship between CQ and embeddedness and the indirect relationship between CQ and career satisfaction.

Digital labor platforms (DLPs) are transforming the nature of the work for an increasing number of workers, especially through extensively employing automated algorithms for performing managerial functions. In this novel working setting – characterized by algorithmic governance, and automatic matching, rewarding and punishing mechanisms – gig-workers play an essential role in providing on-demand services for final customers. Since gig-workers’ continued participation is crucial for sustainable service delivery in platform contexts, this study aims to identify and examine the antecedents of their working outcomes, including burnout and engagement.

We suggested a theoretical framework, grounded in the job demands-resources heuristic model to investigate how the interplay of job demands and resources, resulting from working in DLPs, explains gig-workers’ engagement and burnout. We further empirically tested the proposed model to understand how DLPs' working conditions, in particular their algorithmic management, impact gig-working outcomes.

Our findings indicate that job resources – algorithmic compensation, work autonomy and information sharing– have significant positive effects on gig-workers’ engagement. Furthermore, our results demonstrate that job insecurity, unsupportive algorithmic interaction (UAI) and algorithmic injustice significantly contribute to gig-workers’ burnout. Notably, we found that job resources substantially, but differently, moderate the relationship between job demands and gig-workers’ burnout.

This study contributes a theoretically accurate and empirically grounded understanding of two clusters of conditions – job demands and resources– as a result of algorithmic management practice in DLPs. We developed nuanced insights into how such conditions are evaluated by gig-workers and shape their engagement or burnout in DLP emerging work settings. We further uncovered that in gig-working context, resources do not similarly buffer against the negative effects of job demands.