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This study aims to empirically examine the relationship between energy consumption, agricultural economic growth and globalization in Turkey by using data from 1980 to 2018.

The Lee-Strazicich LM breakpoint test was used to test the stationarity of the variables. The presence of the long-run relationship between the variables was examined by using the Maki cointegration test. The dynamic ordinary least squares method was used to estimate the long-run coefficients of the model. The direction of causalities was determined using the Toda–Yamamoto causality test.

Research results showed that consuming energy on average of 14,460 GJ/hectare has returned $1,612 agricultural gross domestic products (GDP)/hectare per year. Turkey’s energy consumption (EC), GDP and globalization index (GI) from 1980 to 2018 increased by 2-fold, 3-fold and 1.5-fold, respectively. Research results also showed that Turkey’s EC was affected by GI and GDP.

The study suggests using environmentally friendly energy inputs and conscious consumption to reach growth targets and to reduce the pressure of intensive energy use on natural resources. Further research is needed for exploring the causality and relationship between EC and GI and along with other variables in the agricultural sector.

The study contributes two contributions to the existing literature. The first contribution is to examine the neglected relationship between GI and EC and GDP in Turkey. The second is that the EC data for Turkish agriculture used in the study were calculated by the authors.

This study aims to examine the effects of emotional intelligence and organizational justice on job satisfaction and caring climate and its impacts on Criminal Investigation officers’ performance.

The population in this research was all criminal investigation officers, with people (2016 data) in all Polres and the Criminal Investigation Directorate of Polda Metro Jaya. The method used is path analysis. The path modeling was solved by using the partial least squares method. This research found that there is a positive relationship between job satisfaction and officers’ performance.

This research found that there is a positive relationship between emotional intelligence and job satisfaction; organizational justice and job satisfaction; emotional intelligence and officers’ performance; organizational justice and officers’ performance job satisfaction and officers’ performance; caring climate and officers’ performance; organizational justice and caring climate; emotional intelligence and caring climate. In general, it has shown that emotional intelligence has a significant direct effect on performance, job satisfaction and caring climate. In addition, emotional intelligence has an indirect effect on performance through job satisfaction and caring climate.

There are some differences in the previous research results or methodological weaknesses. This research will develop the relationship between the emotional intelligence variable and the caring climate variable and the relationship between the organizational justice variable and the caring climate variable.

This study aims to evaluate the effectiveness of machine learning models to yield profitability over the market benchmark, notably in periods of systemic instability, such as the ongoing war between Russia and Ukraine.

This study made computational experiments using support vector machine (SVM) classifiers to predict stock price movements for three financial markets and construct profitable trading strategies to subsidize investors’ decision-making.

On average, machine learning models outperformed the market benchmarks during the more volatile period of the Russia–Ukraine war, but not during the period before the conflict. Moreover, the hyperparameter combinations for which the profitability is superior were found to be highly sensitive to small variations during the model training process.

Investors should proceed with caution when applying machine learning models for stock price forecasting and trading recommendations, as their superior performance for volatile periods – in terms of generating abnormal gains over the market – was not observed for a period of relative stability in the economy.

This paper’s approach to search for financial strategies that succeed in outperforming the market provides empirical evidence about the effectiveness of state-of-the-art machine learning techniques before and after the conflict deflagration, which is of potential value for researchers in quantitative finance and market professionals who operate in the financial segment.

Along with accounting scandals in the past, academics, researchers, and legislators have focused on fraud. The purpose of this study is to examine postgraduate and doctoral studies, articles, and books about forensic accounting and fraud audit published between the years 2008 and 2018 in Turkey. For this purpose, a total of 96 studies have been examined and 35 of these are master’s theses, 10 of them are PhD theses, 45 of them are articles, and six of them are books. These studies were presented in tables as classified. The studies examined in our research are summarized as year they were published, the author, and the scope of the topic and in terms of results. The conclusions of this study can be summarized as follows: (a) the majority of thesis published about forensic accounting and fraud audit are in 2011 and following years. In addition, most of the theses are focused on forensic accounting review rather than fraud audit. (b) Results in the articles reviewed are in the same direction with theses. (c) There are very few books about fraud audit and forensic accounting. One of them is related to fraud audit, while the rest of them are related to forensic accounting and forensic accounting profession. We suggest extending the scope of the study and making to other countries.

The aim of this study is to measure the impact of the factors affecting construction labor productivity by focusing on different types of construction works during and after the COVID-19 pandemic in Turkey, as well as discuss solutions and immediate actions.

This research was conducted in two steps. First, a quantitative survey was carried out to determine the dimension of factors negatively affecting construction labor productivity and the loss rate of different construction works from the employee perspective. The factors were identified through a literature review. The crucial relationships were highlighted as a result of a statistical analysis. Second, a survey was performed to determine the loss rate through a comparison of man-hour values before and after the beginning of the pandemic from the employer perspective. After an analysis and comparison of the results, semi-structured interviews were performed to discuss all findings and discover ways to mitigate the impacts of COVID-19 on construction labor productivity.

The results of the study clearly show that construction labor productivity was deeply affected by the coronavirus disease (COVID-19) pandemic. Legal obligations, such as social distancing, wearing masks, and limitations on the number of workers, have been major drivers for lower labor productivity. Such obligations have a profound impact on interior construction works, especially based on teamwork. Concerning employer and labor-related factors, problems with getting payments on time, loss of income, and financial hardships are the leading factors resulting in decreased worker performance. Excavation, insulation, and plastering works were determined as the most affected construction works under the influence of the COVID-19 pandemic.

The quantitative portion of this study is limited to a sample of respondents in the Turkish construction industry. Further research is necessary to provide an in-depth review into construction labor productivity in other countries with a larger respondent sample. Another limitation is sourced by the dynamics of the COVID-19 pandemic, which may turn out that some findings are outdated. Despite these limitations, the insights from this study may enable employers to understand the major drivers and deep impacts of labor productivity loss by uncovering the main vulnerabilities during the pandemic. Recommended measures may also help policy-makers and stakeholders in the construction industry take necessary and immediate actions to ensure better construction labor productivity.

The study may contribute to a better understanding of a pandemic's impact on labor productivity by focusing on both employee and employer perspectives, especially in developing countries. The paper may help employers decide which priority measures are required for each construction work separately. The study is crucial not only for minimizing the negative effects of the COVID-19 outbreak on labor productivity but also for preparing for the post-pandemic era.

It is very important for health institutions to develop the occupational commitment of their nurses. While the occupational commitments of the nurses develop during their education, they also change according to certain variables during their work life. In order to employ nurses who are more committed to their occupation, it is essential to know the effects of these variables on occupational commitment. The purpose of this paper is to exhibit and test a model that will display the correlation between demographic, work life and family life variables and occupational commitment.

The research was conducted with the participation of 355 nurses employed in seven state hospitals with 500 or more bed capacity and three medical faculties under the administration of Ankara Ministry of Health, using the proportional distribution method in stratified sampling. Structural equation modeling was used for analysis.

The results of the analysis suggest that there is a relationship between the nurses’ professional commitment and age, education, parental status, tenure and working hours scheme. Although the previous studies generally revealed a positive relationship between professional commitment and age and tenure, the relationship found out in this study is a negative one. Similarly, although a negative relationship was presented between professional commitment and parental status and working hours scheme, the relationship revealed in this study is a positive one. Further, unlike the previous studies, this study found out no relationship between the nurses’ professional commitment and weekly working time.

This study is an original study, having been applied to a different sample in a different cultural environment. The authors sincerely believe that the results of the study will be beneficial to the scientific world.