This study aimed to identify the role of job rotation in achieving administrative success in government departments in Marib Governorate. This study relied on the descriptive approach using a questionnaire consisting of 25 questions, and the analysis tool used was the Statistical Package for Social Sciences, which represents the 26th version of SPSS. As for the study sample, it consisted of 89 employees and administrators who were randomly selected from various government departments in Marib Governorate. The study concluded that the training process, job design and career development strategy are largely implemented in government departments in Marib Governorate, and the results showed that there is a positive, statistically significant effect of training, job design and career development strategy on achieving administrative success. The study found many proposals that would improve the administrative work in government institutions in the Marib Governorate.

The term misinformation on social media has got significant attention in public sermons over the last few decades. This research article explores the growing tendency of misinformation on social media, how it influences people and prescribes insightful measures to counter the spreading of misinformation on social media. Systematic Literature Review (SLR) was employed on the three databases; Google Scholar; Scopus, Web of Science, following keywords; "misinformation", "disinformation", and "social media". A total of 34 articles were finally found suitable for the study. This study confirmed that self-motive and election campaigns are the major causes of misinformation on social media. This study manifested that machines can detect fake news to some extent but cannot be relied upon solely. Human intervention is equally important in identifying misinformation. Moreover, an efficient conceptual model has been proposed to counter the misinformation spread on social media

This study aimed at studying the contributions of the BI on decision programming. The study was performed in three telecommunication companies in Yemen, namely Sabafon, MTN and Yemen Mobile. Companies’ managers as well as IT specialists were selected to expose their views and describe the awareness of the BI and its impact on decision programming. Questionnaire and observation were the best techniques for this study to collect the accurate data. Furthermore, data was statistically analyzed using descriptive statistics tools, MANOVA and Univariate ANOVA test. The empirical findings reveal the role and positive impact of BI on decisions programming at the same time companies do not implement the new technologies that are appropriate for enhancing the BI. Hence it was recommended that companies should start applying machine learning and develop digital dashboards to illustrate all required data and information which cover all companies’ areas

At present, the Bay of Bengal Initiative for Multi Sectoral Technical and Economic Cooperation (BIMSTEC) represent 22 percent of the global population and carries immense economic promise, with a combined GDP worth $ 3.5 trillion (2018). BIMSTEC have India as the largest economy of the group followed by Bangladesh, Thailand, Sri Lanka, Nepal, Myanmar and Bhutan. The paper tries to examine the impact of determinants of trade, on trading pattern of India with the BIMSTEC nations, by employing an augmented gravity model on panel data, since its formation for the period of 22 years i.e., from 1997-2018. The paper tries to examine the India’s trade flow within BIMSTEC trading bloc by implying augmented gravity model followed by Egger (2000,2002), Baltagi et al. (2003) and Serlenga and Shin (2007). Several checks have been performed to imply the presence of serial correlation, heteroscedasticity and contemporaneous correlation in the panels. Many other preliminary tests have also been performed to know the crosssectional dependency, stationarity, panel co-integration and normality of variables. The simple panel OLS estimation technique has been used conduct Regression. The study finds out that Heckscher-Ohlin- Samuelson theorem explain the India’s pattern of trade with the bloc. The variables GDP, per capita GDP, Trade GDP ratio, common border and belonging to BIMSTEC has positive impact on the trade between the India and country j. While tax and distance are negatively correlated with total trade of the nations as per our expectations.

The producers, intermediaries, shippers, and consignees, located often thousands of miles distant from each other, require efficient transport and logistics services to get the right product with the right quality and quantity to the right place within the right time and above all at a right price. The main objective of this study was to assess the effect of freight transport service performance on international trade competitiveness. A descriptive research design was used. Secondary data were collected from international organizations' policy, standards documents, and annual report of the year 2018 by using the Logistic Performance Index rank. Moreover, a quantitative research approach was applied. The data were entered, manipulated, organized, and analyzed using Excel and Statistical Package for Social Science. Both descriptive and inferential analyses were used to identify and examine the extent of international trade competitiveness and its implication in the global market. As the result reviled the entire logistic performance factors such as Growth Domestic Product, Distance, Infrastructure, Landlocked, and Timelines were found to be significantly important to determine the global market competitiveness. But, the geographical distance between bilateral countries affected a country’s trade negatively. The top 10 higher Logistic Performance Index scores more competitive and better implementer of the effects of freight transport factors; whereas, the bottom scorers had an ineffective market link with their partners.

The main aim of this research paper is to examine the trade-off between liquidity and profitability of Indian firms. The target population of the study is manufacturing firms. The study used convenience sampling for collecting the data. The study is based on secondary data for the period from 2008 to 2017 and 20 Indian manufacturing firms are selected for this purpose. Analysis of the data has been undertaken using SPSS software. Findings revealed that current liabilities ratio have a positive and significant impact on earnings per share and profit after tax. On the contrary, the current ratio and quick ratio have an insignificant impact on earnings per share, return on capital employed, return on assets and profit after tax. This study suggests that managers should incorporate liquidity into their evaluation decisions in order to boost the financial return of their businesses. The current study offers valuable insights into the success of Indian listed companies for administrators, analysts, regulators, investors, and other interested parties. There is insufficient research that has been conducted to examine the trade-off between liquidity and profitability. Furthermore, findings from this literature cannot be relied upon as they are outdated. Therefore, this study is going to provide updated evidence on the trade-off between liquidity and profitability of Indian manufacturing firms, an area that has largely remained unexplored.

This paper looks into the sustainability aspect from millennials point of view and highlight the factors which influence their buying decision to prefer green or eco-friendly products over traditional products. Initially, those factors were identified which have an impact on green product purchase intention and their relationship is assessed. To explore the factors, an extensive literature review was conducted and three factors green brand knowledge, attitude towards green brand and willingness to pay were found to be pertinent. This study adopts a conclusive research design to investigate the impact of these factors on green product purchase intention. Data was analyzed through exploratory factor analysis, confirmatory factor analysis (CFA) and structural equation modeling (SEM) on a sample size of 376. Results of study showed that all the constructs namely green brand knowledge, attitude towards green brand and willingness to pay have direct and positive effect on green product purchase intention.

The study aimed to study the impact of job satisfaction on employee’s productivity. The study is based on primary data, which was collected from Poona College. The questionnaire was distributed to the employees in Poona College. According to H.R department, there are 300 employees in the college. They are taking place in every level and filed. In obtaining the sample size of the population, employees in Poona College were selected. The researcher further selected 15% of employees, it was counted in the formula of (300*15/100=45). Results revealed that satisfied employees have positive attitudes about their jobs. Satisfied workers are tend to work on time, loyalty and commitment to the job, tend to improve knowledge, willing to accept more responsibility, with a reduction of absenteeism. The positive attitudes will increase the quality and quantity of employees’ performance. Therefore, such a situation is good for an organization but some organizations do not concern about satisfaction of employees. Hence, if organizations can be more concerned about the job satisfaction of employees’ better productivity can be expected, as the relationship between satisfaction and productivity is positive and significant. This aspect should be given more consideration by the managers in order to improve productivity.

This paper is an attempt to examine and compare the bilateral relationship between India and China. It analyses the trends in trade and the major composition of commodities being traded between India and China during the period (2008-2017). Annual Growth Rate (AGR), Combined Annual Growth Rate (CAGR), Trade Intensity Index (TII), and Trade Reciprocity Index (TRI) have been used in order to analyse the bilateral trade between India and China. The present study reveals that India imports 3 to 4 times more than it exports to China whereas overall trade between India and China also increased over the years specially in the area of import as compare to India’s total trade to the world. However, the top ten commodities that have been dominating in India’s trade with China are: Ores, Cotton, Copper and articles, Organic chemicals, Electrical machinery & equipment, nuclear reactors, etc. Trade Intensity Index reveals there is serious unbalanced trade relationship between India and China from India’s point of view and India need to take productive steps for minimising unbalanced trade balance. Whereas, TRI index also reveals that India is stepping towards unbalanced trade with China as the import indices keep on increasing in comparison to export indices and therefore, balance of trade results unfavourable which requires India to rethink and revamp its export and import policy.

This paper examines corporate governance's effect on the valuation of Earnings per Share (EPS) and Book Value (BV).Differently from empirical previous studies in the area of corporate governance and value relevance of EPS and BV, this study investigates this impact within a unique setting of publicly listed tourism firms Using panel data from a selection of some Bombay Stock Exchange (BSE) listed companies from 2013 to 2015. The paper explored three aspects of the mechanisms of corporate governance: the board of directors (size, composition and diligence), the audit committee (size, composition and diligence) and foreign ownership .The study uses descriptive statistics, correlation and multi-regression model to analyse the influence of corporate governance on the value relevance of EPS and BV for the Indian tourism industry. The results show that the interaction between corporate governance mechanisms and value relevance of BV has more impact on the share prices than EPS. It is recommended that the Indian tourism industry should pay more focus to corporate governance mechanisms in order to improve its value relevance of EPS, BV and share prices.

This paper investigates the impact of demonetization process on the performance of Nifty 50 and its Sectorial Indices. The study uses data of closing prices from 28 June 2016 up to 20 March 2017. The study employs descriptive statistics, paired sample T test and ANOVA to evaluate the impact of demonetization process on the performance of Nifty 50 and its Sectorial Indices. It has found that there is statistical significance at the level of 5% that Nifty 50 dropped after the demonetization event as compared to the pre demonetization event. Further, the results reveal that most of Sectorial Indices of Nifty 50 sloped downward post demonetization event and the significance of the statistical results are varied from one sector to another. It is recommended that periodic review of the policy should be made to iron out the negative impacts of demonetization. Also, it is imperative to evaluate the impact of demonetization on the short, medium, and long run to avoid any grey areas for any future policy regarding cashless economy or demonetization.

This present study aims to investigate the effect of social responsibility (SR) on achieving the competitive advantage of service business organizations. The study is conducted on mobile phone companies in Yemen. The study uses a sample of 99 employees working in the main offices of these companies in Sana’a. The data of the study was collected through a self-administered Likert questionnaire survey. As being the most appropriate method to implement this study, descriptive statistical method was adopted to analyze the results. The findings indicate a positive role of the application of social responsibility in achieving the competitive advantage in mobile phone companies in Yemen. The study recommends that policymakers, regulators and companies should put strict disciplines and adopt different strategies to enhance the role of social responsibility. The study contributes to the strand literature of social responsibility. It addresses the issue of corporate social responsibility in a low-income country which opens an insight for regulators, policymakers, analysts, academicians and managers into the role of corporate social responsibility.

This paper uses panel data to examine the impact of ownership structure index on the financial performance of 73 listed companies of the Indian national stock exchange from 2009 to 2016. To measure the Panel Regression in this study, the FEM model was used. The different dimensions of the ownership structure index involve ten items used as the Independent variable of this study. Two measures have been adopted to estimate the firm performance that is; ROA and ROE. In contrast, the control variables are firm size and leverage. This study's empirical evidence shows that the ownership structure index has significant impact on a firm's performance measured by ROA and ROE of Indian Nifty 100 listed companies. Findings of this study support previous empirical studies performed and add some value in the research area of finance that explores different aspects of the board of directors' index and ownership structure index in Indian market by using Nifty 100 as an example.

The main aim of this article is to examine the effect of firms’ specific on the financial performance of Indian firms. The study is based on 1069 firms listed on the Bombay stock exchange for the period from 2011 to 2017. Descriptive statistics, correlation matrix, and regression models are used for analyzing the data. The study found that cost of financial distress, growth opportunities, firms size, and total taxes positively and significantly impact the financial performance of Indian firms measured by return on assets and return on capital employed. On the contrary, asset structure and leverage negatively and significantly impact the financial performance of Indian firms. Most previous studies were based on small samples; this article bridges an existing gap in the literature by covering large data of1069 firms for seven years which make the results of the study to be generalized. The findings of this study have useful implications for policymakers, practitioners, and academicians.

The present paper seeks to examine the association between board characteristics and banks profitability. The study is based on convenience sampling of 10 Indian banks for the period from 2010 to 2019. Banks profitability is measured by return on assets, return on capital employed, profit after tax and return on net worth, while board of directors’ characteristics is measured by board of directors’ size, board of directors’ composition, board of directors’ diligence, board executive directors and board promoters. The study is used leverage, size, and liquidity as controlling variables. Fixed and random effects models are used for analyzing the data. The findings revealed that Total board size positively and significantly impacts return on assets, Return on capital employed, Profit after detecting tax and Return on net worth, while percentage of promoter negatively and insignificant impacts return on assets, Return on capital employed, profit after detecting tax and Return on net worth. The present study contributes to the existing literature by examining the impact of board characteristics which includes board promoters and executive directors on Indian banks profitability.

This review aims to study the influence of financial performance in commercial banks in India. The article used descriptive analysis, correlation matrix, and regression analysis. The results showed that firm size, capital adequacy, deposit, and inflation rate have a strongly significant influence on financial performance, while gross domestic product (GDP) has no significant impact on return on assets. The outcomes also indicated that firm size (LOGAS), capital adequacy (CA), and deposit (DP) have a negative influence on financial performance, whereas macroeconomic features as GDP and rate of inflation have a positive effect on return on assets of the current investigation. This article bridges the existing gap in the financial performance and profitability of Indian banks during the period of the study. This study also very important for users, analyses, investors, academicians, and research scholars.

The objective of this study is to determine the role of marketing strategies in brand favorability. It is a primary data research where data was collected through questionnaire. For analyzing purpose, AMOS and SPSS software have been used. A convenient sampling method was applied to select the respondents. The EFA is applied to construct the study dimensions. The validity and reliability were testing using the CFA outcomes. To test the hypotheses, the Structural Equation Modeling was used. The study found that, there is a positive and direct impact between distribution strategy, labeling strategy, advertising strategy, and brand favorability. Theoretically, the results can be used as a start point for making deep research in the same area. Practically, the results provide marketing managers with many suggestions for improving marketing strategies. The study results are limited only to the consumers in, small geographic area, Ibb town, Yemen.