Can psychological capital reduce stress and job insecurity? An experimental examination with indian evidence

Increasingly, work stress and job insecurity have become pervasive issues in today’s dynamic workplace. Extant literature suggests that individual psychological resources play a significant role in job insecurity and stress. A review of the literature on psychological capital (PsyCap) suggests that there is a dearth of experimental investigation on the effect of PsyCap interventions (PCI) on stress and job insecurity. The primary purpose of this study is to experimentally examine whether an increase in PsyCap through PCI results in a significant decrease in stress and job insecurity. This experimental investigation was conducted on a sample of 234 adults employed in the telecom sector. This study used a two-group (treatment group and placebo control group) pre-test and post-test design. Subjects were randomly assigned either to the treatment group (N?=?124) or the placebo control group (N?=?110). Findings suggest that those subjects who were given PCI (treatment group) developed their PsyCap and there was a significant reduction in stress and job insecurity. On the contrary, participants of the placebo control group did not report any significant change in stress and job insecurity. Theoretical and managerial implications are discussed.

     

Stadium financing,usage and the impact of institutional change on consumer demand: The case of VFL Park, 1970–1986

Ownership, financing, and usage of stadiums are key issues that affect the commercial operations of sports leagues. Stadiums that are owned by leagues may generate deadweight losses if they are not used to full capacity. We (1) model demand to measure the impact of the Victorian Football League building a privately-funded stadium (VFL Park); (2) then use counterfactual scenarios to estimate social saving from different venues and playing days, and determine whether further welfare gains would have been possible. VFL Park provided greater control over revenue, but further institutional change was needed to fully exploit potential commercial gains from the stadium.     

On the Good and Bad of Natural Resource,Corruption, and Economic Growth Nexus

Environmental and Resource Economics - The empirical finding that countries endowed with vast reserves of natural resources are expected to experience slower economic growth – the resource...     

Identifying potential millennial customers for financial institutions using SVM

Journal of Financial Services Marketing - In order to survive in this complex economic business environment with fierce competition among various players of the finance sector, the need is to...     

Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH-LSTM based Approach

This study investigates the advantage of combining the forecasting abilities of multiple generalized autoregressive conditional heteroscedasticity (GARCH)-type models, such as the standard GARCH (GARCH), exponential GARCH (eGARCH), and threshold GARCH (tGARCH) models with advanced deep learning methods to predict the volatility of five important metals (nickel, copper, tin, lead, and gold) in the Indian commodity market. This paper proposes integrating the forecasts of one to three GARCH-type models into an ensemble learning-based hybrid long short-term memory (LSTM) model to forecast commodity price volatility. We further evaluate the forecasting performance of these models for standalone LSTM and GARCH-type models using the root mean squared error, mean absolute error, and mean fundamental percentage error. The results highlight that combining the information from the forecasts of multiple GARCH types into a hybrid LSTM model leads to superior volatility forecasting capability. The SET-LSTM, which represents the model that combines forecasts of the GARCH, eGARCH, and tGARCH into the LSTM hybrid, has shown the best overall results for all metals, barring a few exceptions. Moreover, the equivalence of forecasting accuracy is tested using the Diebold–Mariano and Wilcoxon signed-rank tests.     

A psychological examination of attachment insecurity,loneliness, and fear of missing out as drivers of retail patronage among emerging adults

Recent consumer literature has shown that attachment insecurity (i.e., anxious, avoidant) enhances individual's motivations for retail shopping. We extend that literature using attachment theory to explain how attachment insecurity, loneliness (i.e., social, emotional), and fear of missing out (FoMO) affect retail patronage. We posit that these three negatively valenced psychosocial conditions generally incline emerging adult consumers toward retail patronage to resolve their relational deficits. Based on results from partial least squares-structural equation modeling (n = 509), we find support for most of our hypotheses. The study presents previously unavailable knowledge about antecedents of FoMO and multiple negative psychosocial drivers of retail patronage. We provide a foundation for future scholarship to examine more broadly how attachment, loneliness, and FoMO impact consumer behavior. Managerial and theoretical implications are also provided.     

Imports,technology, and employment: Job creation or creative destruction

This study examines the employment impact of technology by using firm-level survey data for a large number of developing countries. We not only examine the impact of technology on overall employment but also investigate the effect on different types of employment, such as skilled, unskilled, temporary, and seasonal. Considering asymmetric distribution of employment, we utilize quantile regression for empirical analysis. Our findings unequivocally suggest that technology does not kill jobs. Further, we could not find any skill-biased impact of technology. Finally, results suggest that technology received through alternative sources works in combination, enhances absorptive capacity and promotes employment.