Human resource productivity is one of the vital notions in the management of modern organizations. Many studies concerned with this notion have tried to identify the factors affecting productivity and its improvement. One of these important factors is organizational spirituality. The present study investigated the impact of organizational spirituality, from an Islamic perspective, on human resources productivity in BELFA Co., Iran, as a manufacturing organization. The study relied on a descriptive survey method and used structural equation modeling to analyze data in Smart-PLS software to fit the measurement model and the structural model. Results revealed that spirituality could predict 26% of the variance of Human resources productivity in the company, proving to be an effective factor.

This paper presents an empirical investigation to study the effect of financial flexibility on capital structure decisions on selected firms listed in Tehran Stock Exchange over the period 2006-2018. The results indicate that the cash value of the previous years had no meaningful relationship with the current year's financial leverage, which suggests that flexibility in previous years could not explain the financial leverage of the coming years and financial leverage of companies changes did not occur based on the past years performance. When the ultimate value of financial flexibility is high, the impact of different variables, for example, profits, depreciation, and depreciation costs, fixed assets, etc., on leverage is of little importance, with a slight change in leverage. Companies with a high final value of financial flexibility are willing to maintain their current debt capacities, but it is significantly possible that they target deliberate or temporary deviations from their leverage ratios.

Resilience is one of the constructs which received less attention in the contemporary entrepreneurial literature. This paper explored the relationships among social capital, commitment and career resilience of entrepreneurs in Northern Nigeria. 576 active entrepreneurs were selected to participate in this study using cluster sampling approach and were served with questionnaires of which 390, representing 68% response, were retrieved. The data were analyzed using Smart-PLS 3 software of Partial Lease Square Structural Equation Modelling (PLS-SEM). The findings suggest that bonding social capital influenced both career commitment as well as career resilience, but bridging did not. In addition, career commitment mediated the relationship between bonding social capital and career resilience, but did not mediate the relationship between bridging social capital and career resilience. Theoretical, practical and methodological implications were also provided.

The purpose of this research was to recognize the influence of electricity reliability problems such as unplanned and planned outages, and load shedding on the future plans of the textile industries of Punjab (India). An opinion on the mitigation measures to diminish the impact of power outages was also obtained. The results presented here were got using the seven-point Likert item scale from the 148 respondents which were the part of a randomly selected sample of 400 textile industries from a total population of 1163 registered textile industries covering specifically the high concentration dis-tricts throughout the Punjab. Both formal and informal interview methods including dropping the questionnaire schedules at the industrial premises were employed to record the responses. A syntax for Krippendorff’s Alpha was used in SPSS to estimate the interreliability of the different sections. A non-parametric Mann-Whitney U and Friedman Q with post hoc tests were applied using SPSS for independent samples and related sample designs, respectively, in order to know the statistical significant differences among the variables and the pairs. Respondents were found highly concerned towards the power system reliability issues than the quality issues. The effect of reliability issues on the micro scale industries were found higher than the small scale industries. Based on the one hour outage duration, unplanned power outage-1 hour scenario and dangerous advance warning, planned power outage, were found highly disruptive. The growth or expansion of existing unit, like to go for costly alternative energy sources, procurement of bank loans and moving industries to other state with good energy facilities, were the four key future plans and strategies that were found highly important to the textile industries. Majority of the industries believed that almost all the future plans and decisions were dominantly impacted by the unplanned outages followed by the load shedding and planned outages. In order to diminish the impact of power outages, improved system protection and improved local protection were found the preferred outage mitigation methods.

The primary objective of this paper is to investigate the impact of the recruitment process on the organizational performance. It has been hypothesized in this study that an effective recruitment process could enhance the organizational process. After critically reviewing the literature, the study finds employee commitment as a key factor which affects the relationship between recruitment process and organizational performance. Therefore the second objective of the current study is to investigate the mediating role of employee commitment in the relationship between recruitment process and organizational performance. The data is collected from 247 employees of Fujairah National Group of UAE and the structural equation modeling using AMOS is used to analyze the data. The findings of the study show a great deal of agreement with the results. The findings of the study will be helpful for HR practitioners, policymakers and researchers in understanding the relationship between employee commitment, recruitment process, and organizational performance.

The study investigates the firm’s specific characteristics of manipulated firms in East Asian emerging and developed markets using hand-collected 244 manipulated cases between 2001 and 2017. The empirical analysis is conducted using panel logistic regression to identify which stocks are more likely to be manipulated. Result shows that large and highly liquid firms were more likely to be manipulated in both emerging and developed markets. Additionally, marginal effect shows that firms with high free float and market capitalization had a higher probability of being manipulated in these markets. On the contrary, profitable firms were less likely to be manipulated in both developed and emerging markets. Limited studies have been conducted to empirically identify the characteristics of the manipulated stocks across the developed and emerging markets. The regulator can use these results to identify possible and expected manipulation and to design enforcement rules, accordingly. Further, investors can take into consideration these characteristics of manipulated stocks while designing their portfolio in order to reduce the portfolio risk.