Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of organizational support on employee performance

Building on organizational support theory and social exchange theory, the purpose of this paper is to study the impact of organizational support on employee performance (EP) in the context of flexible manufacturing. In particular, the authors aimed to investigate the mediating role of employee attitude between organizational support and EP, and the moderating role of organizational justice (OJ). ,A total of 180 participants from 36 work teams employed in 7 large automotive manufacturing enterprises in China were surveyed using a questionnaire designed by the authors. Multiple linear regressions were used to test the proposed hypotheses. ,The results revealed four new performance indicators of frontline workers in the context of flexible manufacturing: continuous learning, teamwork, problem solving and active work. Organizational support can be divided into reinforcing support and inhibitive support. Reinforcing organizational support has a positive effect on new performance of frontline workers, and a sense of belonging plays a strong mediating role between them. Inhibitive organizational support plays an important role in the sense of awe (SA) of employees, but the SA has no influence on new performance of frontline workers. OJ plays a strong moderating role between organizational support and employee attitudes. ,This study is one of the first attempts to explore the performance of frontline workers in the context of flexible manufacturing and contributes to the existing literature on the relationship between organizational support and EP.
Applied prospect theory: assessing the βs of M&A-intensive firms

Behavioral components of Kahneman and Tversky’s (1979) prospect theory (PT) were applied to derive an adjusted Capital Asset Pricing Model (CAPM) in the estimation of merger and acquisition-intensive firms’ expected returns. The premise was that the CAPM – rooted in expected utility theory – is violated by the behavioral biases identified in prospect theory. Kahneman and Tversky’s prospect theory (1979) has demonstrated that weaknesses abound in the viability of classical utility theory predictions. For mergers and acquisitions, firms appear to be isolated from and immune to human error, yet decisions which involve the undertaking of capital-intensive projects are delegated to senior management. These individuals are prone to cognitive biases and personalized risk appetites that may (and often do) compromize attitudes and behavior when it comes to pricing risky ventures. Having established that beta estimates using linear regression are inferior, the CAPM was implemented utilizing beta estimates obtained from the Kalman filter. The results obtained were assessed for their long-term market price predictive accuracy. The authors test the reliability of the CAPM as a predictor of price, observe the rationality of human behavior in capital markets, and attempt to model premiums to adjust CAPM returns to a level that more appropriately accounts for firm specific risk. The researchers show that market participants behave irrationally when assessing M&amp;A firms’ specific risk. Logistic regression coupled with the development of a risk premium was implemented to correct the original Kalman filter returns and was tested for improvements in predictive power.
Modeling Industrial ADMET Data with Multitask Networks

Deep learning methods such as multitask neural networks have recently been applied to ligand-based virtual screening and other drug discovery applications. Using a set of industrial ADMET datasets, we compare neural networks to standard baseline models and analyze multitask learning effects with both random cross-validation and a more relevant temporal validation scheme. We confirm that multitask learning can provide modest benefits over single-task models and show that smaller datasets tend to benefit more than larger datasets from multitask learning. Additionally, we find that adding massive amounts of side information is not guaranteed to improve performance relative to simpler multitask learning. Our results emphasize that multitask effects are highly dataset-dependent, suggesting the use of dataset-specific models to maximize overall performance.
Bonus or Burden? Care Work, Inequality, and Job Satisfaction in Eighteen European Countries

While existing research highlights the feminized and devalued nature of care work, the relationship between care work and job satisfaction has not yet been tested cross-nationally. England (2005) outlines two theoretical frameworks that guide our thinking about this potential relationship: the Prisoner of Love framework suggests that, notwithstanding the explicit and implicit costs of care work, the intrinsic benefits of caring provide ‘psychic income’ and lead to greater job satisfaction; while the Commodification of Emotion framework suggests, instead, that care work generates additional stress and/or alienation for the worker, thereby resulting in lower job satisfaction. This article empirically tests this relationship in 18 countries using European Social Survey data and incorporating national-level factors. The results provide support for the Prisoner of Love framework, with variation based on the degree of professionalization. Although we find broad evidence of a care work-job satisfaction bonus, non-professional care workers experience a substantively larger bonus than their paraprofessional and professional counterparts. However, national-level economic inequality is also found to play a role in this relationship, with higher inequality amplifying the care work bonus at all levels of professionalization.
A green ideology in Asian emerging economies: From environmental policy and sustainable development

This panel study investigates the relationship between green logistics indices, economic, environmental, and social factors in the perspective of Asian emerging economies. This study adopted Fully Modified OLS (FMOLS) Model and Dynamic OLS (DOLS) Model methods to test the research hypothesis, catering the problem of endogeneity and serial correlation. The results suggest that logistics operations, particularly LPI2 (efficiency of customs clearance processes), LPI4 (quality of logistics services), and LPI5 (trade and transport‐related infrastructure), are positively and significantly correlated with per capita income, manufacturing value added and trade openness, whereas greater logistics operations are negatively associated with social and environmental problems including, climate change, global warming, carbon emissions, and poisoning atmosphere. In addition, human health is badly affected by heavy smog, acid rainfall, and water pollution. The findings further extend and reveal that political instability, natural disaster, and terrorism are also a primary cause of poor economic growth and environmental sustainability with poor trade and logistics infrastructure. There is very limited empirical work presented in the literature using renewable energy and green ideology to solve macro‐level social and environmental problems, and this study will assist the policy makers and researchers to understand the importance of the green concept in improving countries' social, economic, and environmental performance.
Impact of IT Ambidexterity on New Product Development Speed: Theory and Empirical Evidence

New product development (NPD) speed is becoming an important weapon by which firms can gain market share in today’s competitive and complex market environments, where consumer preferences change rapidly. Drawing on the information technology (IT)-enabled organizational capabilities perspective, this study proposes that IT ambidexterity—the simultaneous pursuit of IT exploitation and IT exploration, which has become imperative in modern industry to sustain the business value of IT—enhances NPD speed by facilitating operational agility. We examine the proposed relationship of IT ambidexterity with the potential moderating role of market complexity in a sample composed of 292 British high-tech firms. Our findings, based on a moderated-mediation analysis, suggest that the impact of IT ambidexterity on NPD speed is mediated by operational agility and that the mediation effect is especially pronounced in complex markets. The resulting theoretical arguments and empirical evidence yield further insights into the strategic impacts of IT.
Comparison between Daytime and Nighttime Scenery Focusing on Restorative and Recovery Effect

The overall purpose of this study was to investigate psycho-physiological variations in human bodies by observing visual images of daytime and nighttime scenery to focus on restorative and recovery effects. Unlike previous studies that have focused on the natural versus built environments, this study aims to compare restorative and recovery potentials between daytime and nighttime. The experiment was conducted by showing a total of 12 images to 60 participants in order to measure the brain response with an electroencephalogram (EEG). As measures of the psychological impact of the images, perceived restorative and recovery scales were used. The self-reported data indicates that daytime sceneries are rated more positively than nighttime sceneries in terms of restorative and recovery effects. According to the EEG results, restorative and recovery feelings have negative relationships with the relative theta band, while positive relationships are shown with the relative alpha band. The correlation analysis between EEG bands and brain regions showed a significant correlation (p < 0.05) with 46 pairs for the daytime scenery stimuli and 52 pairs for the nighttime scenery stimuli. Through the results of the study, we conclude that daytime and nighttime scenery affect restorative feelings and the human brain response through both verbal and non-verbal methods.
Public Service Motivation, Personality, and the Hiring Decisions of Public Managers: An Experimental Study

One of the main practical recommendations from the copious public service motivation literature is that human resources (HR) professionals should use public service motivation (PSM) to assist in selecting candidates for public service jobs. To test if PSM is indeed attractive to HR professionals in selecting applicants to work in the public sector, 238 HR managers recruited from the International Public Management Association for Human Resources rated three cover letters and then rated themselves about PSM and the Big 5 personality traits. The cover letters were randomized on most likely combinations of PSM and Big 5, revealed in earlier research. Our results are that real HR professionals did not rate cover letters more highly when they displayed aspects of PSM.
Trends and Features of Agroforestry Research Based on Bibliometric Analysis

The world is faced with dual challenges to ensure food security for its large and still growing population and to mitigate climate change. It is necessary to develop more diversified and multifunction agricultural systems to address the challenges. Therefore, as a reasonable land use practice, agroforestry has become the hotspot in scientific research in recent decades. This study performed quantitative and qualitative analyses of agroforestry research published between 1990 and 2018 based on bibliometric methods, expecting to guidance for further research in order to scientifically understand of the trends and features of agroforestry research over time and by region. A total of 4204 publications were obtained from Web of Science. The results show that the research interest in the agroforestry field has significantly enhanced, and about 139 countries have been involved with the research in this field. These publications cover 66 subject categories and a great diversity research theme. Since 1990, the popular keywords in agroforestry research have been changed from “Intercropping”, “Alley cropping”, and “Multipurpose trees” to “Carbon sequestration”, “Ecosystem service”, and “Climate change”. This indicates that the theme of agroforestry research has changed and the research scale is gradually expanding. Furthermore, agroforestry research themes vary with regions, since different regions have various requirements on the function of the agroforestry system. In the end, given the current trend of agroforestry science, we conclude a list of research potentials of agroforestry in the future.
Labor Income Risk and Stock Returns: The Role of Horizon Effects

This paper shows that the impact of labor income risk on the cross-section of expected stock returns depends crucially on the horizon. Using a flexible empirical approach that allows us to include multiple horizons simultaneously, we find robust evidence that the two- to four-year horizon strongly dominates. Labor income risk at this medium term horizon carries a highly significant price of risk, while at other horizons it does not. A simple two-factor model that includes the equity market return and labor income risk at the medium term horizon can explain a striking 71% of the cross-sectional variation of 25 size book-to-market and 25 size-investment portfolios. This is a significant improvement over the standard human capital CAPM with quarterly labor income growth that has an R-squared of only 7%. Also, labor income risk generates significant adjustments to the composition of the optimal risky equity portfolio at the medium term horizon. These results are consistent with wage stickiness, where wages are reset every two to four years.
Childcare and Maternal Employment: Evidence from Vietnam

Little literature currently exists on the effects of childcare use on maternal labor market outcomes in a developing country context, and recent studies offer mixed results. This paper attempts to fill these gaps by analyzing several of the latest rounds of the Vietnam Household Living Standards Survey spanning the early to mid-2010s. Addressing endogeneity issues with a regression discontinuity estimator based on children's birth months, the paper finds a sizable effect of childcare attendance on women's labor market outcomes, including their total annual wages, household income, and poverty status. The effects of childcare attendance differ by women's characteristics and are particularly strong for younger, more educated women. Furthermore, childcare has a medium-term effect and positively impacts men's labor market outcomes as well.
OVERREACTION ANOMALY DI PASAR MODAL INDONESIA (STUDI PADA SAHAM-SAHAM LQ-45 TAHUN 2014-2018)

This study aims to analyze whether market overreaction symptoms occur in Indonesia Stock Exchange, specifically on the LQ-45 Index from 2014 to 2018. This research was separated over 6 and 12 months. The sample was consistent stocks of LQ-45 index companies period 2014 to 2018, it is determined by purposive sampling method. Stocks were classified into two portfolios based on the value of Cumulative Abnormal Return (CAR). Winner portfolio was 3 stocks with the highest value of CAR, and loser portfolio was 3 stocks with the lowest value of CAR. Market overreaction is measured by Average Cumulative Abnormal Return (ACAR) loser portfolio outperformed of winner portfolio ACAR. As a result, the research found that overreaction indications were evidence, but no significance statistically. The result absence of market overreaction symptoms on the Indonesia Stock Exchange showed that the contrarian investment strategy was inappropriate to use, especially on LQ-45 index stocks. Keywords: Overreaction, winner-loser anomaly, LQ-45 Index.
The Evolution of the ECB's Accountability Practices During the Crisis

This article examines the evolution of the ECB’s accountability practices during the financial crisis. After describing the challenges stemming from the crisis and changes resulting from the conferral of new supervisory tasks on the ECB, it provides evidence on how the strengthening of the ECB’s accountability has taken shape in the context of its relationship with the European Parliament in line with the latter’s key role as provided for in the Treaties. The ECB and the European Parliament, building on the accountability framework enshrined in primary law, have increased the frequency of their interactions, made innovations regarding the format and sharpened the focus of their exchanges, allowing increased scrutiny of the ECB’s policies. This has provided the ECB with more opportunities to explain its decisions and demonstrate that it is acting in accordance with its democratic mandate, which is a fundamental pillar of its legitimacy.
The Effect of Educational Mismatch on The Turkish Manufacturing Industry

This article explores educational mismatch for twenty-three different Turkish industrial sectors using all available household surveys from 2004 to 2015. Our aim is to first evaluate the educational mismatch level in the Turkish industrial sectors and then analyze its effects on the sectoral total factor productivity, labor productivity, and wages. For the sectoral total factor productivity, our dynamic panel data estimations suggest that the modal value of education increases the growth rate of total factor productivity. Therefore, the widespread existence of educational mismatch implies the efficiency loss in Turkish manufacturing sector for the period of 2004-2015. For the sectoral labor productivity, the modal value of education and the mean value of over-education increases labor productivity whereas the mean value of under-education decreases it. These results clearly imply that the human capital theory overcomes the job satisfaction theory for the Turkish industrial industry because the mean years of over-education increases the sectoral labor productivity. For the sectoral wages, the mean value of over-education raises wages.
Kidnapping and the Network of Relationships among the Principal Actors in the Administration of Criminal Justice in Selected States of Nigeria

This study investigated the interplay between kidnapping and the network of relationships among the principal actors in the administration of criminal justice in selected states of Nigeria. To achieve the objective of the study, the qualitative method – in-depth interviews and key informant interviews were utilized in generating data from 60 interviewees for the study. The qualitative data generated from the study was analyzed using a manual content analysis. The study showed that there is generally a cordial relationship among the principal actors in the administration of criminal justice in Nigeria. However, the study also revealed that there are occasional misunderstandings among the principal actors in the administration of criminal justice which situation, kidnappers exploit to their advantage. Based on the findings, it is recommended that there should be an interactive session for the police officers, prison officers and judicial officers where their roles, challenges and likely areas of conflict in the line of duty can be articulated and possible ways of enhancing their jobs without skirmish can be developed.
External Debts and Economic Growth in Nigeria: An Empirical Study Using Autoregressive Distributed Lag Model

This paper models some economic theories which explained the casual relationship between accumulated funds/loans from external sources (external debts) and economic growth with a more focus on Nigerian economy, as it is a usually trend for debts of third world and developing countries debts profile to be high, and this case is also the same with Nigeria as the country debts profile is on the increase once more after the debt cancellation of 2005 by the Paris Club of creditors. Also, the addition to empirical studies on this topic by this study is the use of Autoregressive Distributed Lag (ADL) model to capture the effect of externals debts on viability and growth of Nigerian economy from 1984-2012. The preliminary and normality tests show that all variables used in the study are positively skewed but are not normally distributes. For more diagnostic analysis of the dataset, econometric tests of stationarity (Unit Root Test) and co-integration tests were employed to avoid a spurious regression. The results of these tests indicated that all the variables exhibit Stationarity at first differenced, and also the Johansen Co-integration test shows the existence of long-run relationship between the variables. The result from the ADL model confirms the existence of a dual behaviour and effect of External Debts on Nigeria Economy. The lag 1 of external debts i.e Debts from previous, has positive effect while external debts of present year posed a negative effect on the performance of the economy. The recommendations of this study are that Nigeria government should ensure that debts incurred are channel towards productive uses and debt management office of the government should strengthen its plans and foster appropriate use of loans in the critical area the need for is identified.
Food flows between counties in the United States

Food consumption and production are separated in space through flows of food along complex supply chains. These food supply chains are critical to our food security, making it important to evaluate them. However, detailed spatial information on food flows within countries is rare. The goal of this paper is to estimate food flows between all county pairs within the United States. To do this, we develop the Food Flow Model, a data-driven methodology to estimate spatially explicit food flows. The Food Flow Model integrates machine learning, network properties, production and consumption statistics, mass balance constraints, and linear programming. Specifically, we downscale empirical information on food flows between 132 Freight Analysis Framework locations (17 292 potential links) to the 3142 counties and county-equivalents of the United States (9869 022 potential links). Subnational food flow estimates can be used in future work to improve our understanding of vulnerabilities within a national food supply chain, determine critical infrastructures, and enable spatially detailed footprint assessments.
The mediating effect of flow experience on social shopping behavior

This study explores the relationships among the following four dimensions, with a particular focus on how flow experience mediates social shopping behavior: (1) user beliefs; (2) website quality, including information quality, system quality, and service quality; (3) flow experience; and (4) social shopping behavior, as demonstrated by a sample of the online consumer population. We gathered online surveys (n = 386) in Taiwan to test the relationships among the four dimensions laid out in our structural equation model. The results confirm that flow experience has a mediating effect on social shopping behavior. They also show that there is a significant correlation between user beliefs, website quality, and flow experience. The results fill an empirical gap in the theoretical literature on social shopping behavior, especially areas involving website quality and the beliefs of users. They also offer insight into the positive effect which flow experience has on social shopping behavior. This study offers a valuable contribution by exploring in detail the way in which flow experience affects social shopping behavior through strengthening the influence of both website quality and user beliefs.