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.