This study looked at how market innovation affected SMEs' performance in Addis Abeba, Ethiopia, with the use of government support programmes as a moderator. The study's meta-analysis will be guided by the Schumpeter innovation theory, which also incorporates the diffusion of innovation theory, expectancy theory, institutional theory, stakeholder theory, absorptive capacity theory, resource-based view/theory, dynamic capability theory, R-A theory, and unified theory of acceptance and use of technology. The researcher used an effect size approach based on a forest and funnel plot to scan, exclude, and include relevant material. Researchers discovered a connection between the Dimension of Innovation and company performance on the basis of an extensive literature review. Also Based on the studied literature, the researcher discovered a link between the moderation of the government support programme and the performance of SMEs' firms in the area of innovation. To carry out this study, an exploratory sequential mixed research design will be used. Based on the current literature, the study attempts to create a conceptual framework and testable hypotheses. It was discovered that the impact of marketing innovation on a firm's performance was moderated by government support programmes. Businesses must be encouraged to adopt government support programmes with a moderating influence as a result.
{"title":"Meta Analysis Study of Marketing Innovation on SME Business Performance in Ethiopia","authors":"Shashi Kant","doi":"10.48185/sebr.v4i1.746","DOIUrl":"https://doi.org/10.48185/sebr.v4i1.746","url":null,"abstract":"This study looked at how market innovation affected SMEs' performance in Addis Abeba, Ethiopia, with the use of government support programmes as a moderator. The study's meta-analysis will be guided by the Schumpeter innovation theory, which also incorporates the diffusion of innovation theory, expectancy theory, institutional theory, stakeholder theory, absorptive capacity theory, resource-based view/theory, dynamic capability theory, R-A theory, and unified theory of acceptance and use of technology. The researcher used an effect size approach based on a forest and funnel plot to scan, exclude, and include relevant material. Researchers discovered a connection between the Dimension of Innovation and company performance on the basis of an extensive literature review. Also Based on the studied literature, the researcher discovered a link between the moderation of the government support programme and the performance of SMEs' firms in the area of innovation. To carry out this study, an exploratory sequential mixed research design will be used. Based on the current literature, the study attempts to create a conceptual framework and testable hypotheses. It was discovered that the impact of marketing innovation on a firm's performance was moderated by government support programmes. Businesses must be encouraged to adopt government support programmes with a moderating influence as a result.","PeriodicalId":135884,"journal":{"name":"Studies in Economics and Business Relations","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132977807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
这项研究的目的是确定工作轮换在马里布省政府部门取得行政成功方面的作用。本研究采用描述性的方法，采用了25个问题的问卷调查，使用的分析工具是Statistical Package for Social Sciences，这是SPSS的第26版。至于研究样本，它包括89名雇员和管理人员，他们是从马里布省的各个政府部门随机挑选的。研究得出结论，马里布省的政府部门在很大程度上实施了培训过程、职位设计和职业发展战略，结果表明，培训、职位设计和职业发展战略对行政管理成功有积极的、统计显著的影响。这项研究发现了许多可以改善马里布省政府机构行政工作的建议。
{"title":"The role of job rotation in achieving administrative success in government departments in Marib Governorate","authors":"Hasan Alhegazi, Dr. S. N. Waghule, Hamid Dahan","doi":"10.48185/sebr.v3i1.425","DOIUrl":"https://doi.org/10.48185/sebr.v3i1.425","url":null,"abstract":" This study aimed to identify the role of job rotation in achieving administrative success in government departments in Marib Governorate. \u0000This 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. \u0000As 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. \u0000The study found many proposals that would improve the administrative work in government institutions in the Marib Governorate.","PeriodicalId":135884,"journal":{"name":"Studies in Economics and Business Relations","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121143805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this study is to investigate the impact of marketing mix elements on consumer buying behavior of supermarket consumers in Meerut city. Empirical evidence from 150 participants shopping at five supermarkets validates a theoretical model, indicating a significant positive relationship between marketing mix variables and consumer purchasing behavior. Factors or the marketing mix elements examined are product, price, shopping convenience, promotion, store atmosphere and personnel. Data was analyzed using descriptive statistics, comparing mean analysis (i.e. one-way ANOVA) and other analysis (correlation and multiple linear regression) Results reveal that personnel, promotion and price factors exerts greatest influence on consumer buying decision, followed by shopping convenience, store atmosphere, and product respectively. The finding of the study also shows that there is a significant difference between supermarkets product consumers who belongs to different age group, educational background and Income level with regard to product, shopping convenience, promotion, price and store atmosphere and personnel. These findings contribute to the literature relating to retail marketing and have marketing implications for bringing traffic into supermarkets and increasing sales. Supermarkets should set up a comfortable buying atmosphere, drafting more influencing and informative promotion, give up to date training to their employees, should consider level of competition, access to transportation, availability of parking, easy accessibility and long opening hours while making store location decision, should maintain the right pricing decision and carrying deep assortment of products lead them to become super specialist.
{"title":"The Impact of Marketing Mix on Consumers’ Buying Behavior in Supermarkets of Meerut City, India","authors":"Babar Mushtaq, S. A. Salar","doi":"10.48185/sebr.v3i1.435","DOIUrl":"https://doi.org/10.48185/sebr.v3i1.435","url":null,"abstract":"The purpose of this study is to investigate the impact of marketing mix elements on consumer buying behavior of supermarket consumers in Meerut city. Empirical evidence from 150 participants shopping at five supermarkets validates a theoretical model, indicating a significant positive relationship between marketing mix variables and consumer purchasing behavior. Factors or the marketing mix elements examined are product, price, shopping convenience, promotion, store atmosphere and personnel. Data was analyzed using descriptive statistics, comparing mean analysis (i.e. one-way ANOVA) and other analysis (correlation and multiple linear regression) Results reveal that personnel, promotion and price factors exerts greatest influence on consumer buying decision, followed by shopping convenience, store atmosphere, and product respectively. The finding of the study also shows that there is a significant difference between supermarkets product consumers who belongs to different age group, educational background and Income level with regard to product, shopping convenience, promotion, price and store atmosphere and personnel. These findings contribute to the literature relating to retail marketing and have marketing implications for bringing traffic into supermarkets and increasing sales. Supermarkets should set up a comfortable buying atmosphere, drafting more influencing and informative promotion, give up to date training to their employees, should consider level of competition, access to transportation, availability of parking, easy accessibility and long opening hours while making store location decision, should maintain the right pricing decision and carrying deep assortment of products lead them to become super specialist.","PeriodicalId":135884,"journal":{"name":"Studies in Economics and Business Relations","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130325761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jamal Abdul Nasir Ansari, M. Azhar, Mohd Junaid Akhtar
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
在过去的几十年里，社交媒体上的错误信息这个词在公开布道中得到了极大的关注。这篇研究文章探讨了社交媒体上错误信息的增长趋势，它如何影响人们，并规定了有见地的措施来对抗社交媒体上错误信息的传播。对三个数据库采用系统文献综述法(SLR);谷歌学者;Scopus, Web of Science，跟踪关键词;“错误信息”、“虚假信息”和“社交媒体”。最终共找到34篇适合本研究的文章。这项研究证实，自我动机和竞选活动是社交媒体上错误信息的主要原因。这项研究表明，机器可以在一定程度上检测假新闻，但不能完全依赖机器。人为干预在识别错误信息方面同样重要。此外，还提出了一个有效的概念模型来对抗社交媒体上的错误信息传播
{"title":"The spread of Misinformation on social media: An insightful countermeasure to restrict","authors":"Jamal Abdul Nasir Ansari, M. Azhar, Mohd Junaid Akhtar","doi":"10.48185/sebr.v3i1.401","DOIUrl":"https://doi.org/10.48185/sebr.v3i1.401","url":null,"abstract":"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","PeriodicalId":135884,"journal":{"name":"Studies in Economics and Business Relations","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124276609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
{"title":"Contributions of Business Intelligence (BI) on Decisions Programming for Telecommunications Companies in Yemen","authors":"Hamzah Al Habri, Majed Al Syani","doi":"10.48185/sebr.v3i1.417","DOIUrl":"https://doi.org/10.48185/sebr.v3i1.417","url":null,"abstract":"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","PeriodicalId":135884,"journal":{"name":"Studies in Economics and Business Relations","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130166342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"tradeoff between liquidity and profitability: evidence from Indian manufacturing firms","authors":"A. Hassan","doi":"10.48185/sebr.v2i2.410","DOIUrl":"https://doi.org/10.48185/sebr.v2i2.410","url":null,"abstract":"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.","PeriodicalId":135884,"journal":{"name":"Studies in Economics and Business Relations","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129509774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"An Analysis of India’s Trade Flow with BIMSTEC nations- A Gravity Model Approach","authors":"S. Rai, A. Paswan, Dr. S.N. Jha","doi":"10.48185/sebr.v2i2.376","DOIUrl":"https://doi.org/10.48185/sebr.v2i2.376","url":null,"abstract":"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.","PeriodicalId":135884,"journal":{"name":"Studies in Economics and Business Relations","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115663569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
生产商、中间商、托运人和收货人往往相距数千英里，需要高效的运输和物流服务，以便在正确的时间、最重要的是以正确的价格，将质量和数量正确的产品送到正确的地点。本研究的主要目的是评估货运服务绩效对国际贸易竞争力的影响。采用描述性研究设计。二级数据收集自国际组织的政策、标准文件和2018年的年度报告，采用物流绩效指数排名。此外，还采用了定量研究方法。使用Excel和Statistical Package for Social Science对数据进行输入、处理、组织和分析。描述性和推断性分析均用于确定和检查国际贸易竞争力的程度及其在全球市场中的含义。结果表明，整个物流绩效因素，如国内生产总值增长、距离、基础设施、内陆和时间线，对决定全球市场竞争力非常重要。但是，双边国家之间的地理距离对一国的贸易产生了负面影响。物流绩效指数得分较高的前10名企业竞争力较强，货运要素的实施效果较好;然而，得分最低的人与他们的伴侣之间的市场联系无效。
{"title":"Effect of Freight Transport Service Performance on Global Market Competitiveness","authors":"Eyakem Fikru","doi":"10.48185/SEBR.V2I2.264","DOIUrl":"https://doi.org/10.48185/SEBR.V2I2.264","url":null,"abstract":"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.","PeriodicalId":135884,"journal":{"name":"Studies in Economics and Business Relations","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126554241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"\"Exploring the Association between Job Satisfaction and Productivity: Empirical Evidence from India\"","authors":"Omar Abdu Saeed, S. Waghule","doi":"10.48185/SEBR.V2I1.301","DOIUrl":"https://doi.org/10.48185/SEBR.V2I1.301","url":null,"abstract":"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. \u0000The 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). \u0000Results 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.","PeriodicalId":135884,"journal":{"name":"Studies in Economics and Business Relations","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124941528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"INDIA’S BILATERAL TRADE WITH CHINA- EMPIRICAL STUDY BASED ON TRADE INTENSITY INDEX & TRADE RECIPROCITY INDEX","authors":"A. Paswan","doi":"10.48185/SEBR.V2I1.81","DOIUrl":"https://doi.org/10.48185/SEBR.V2I1.81","url":null,"abstract":"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.","PeriodicalId":135884,"journal":{"name":"Studies in Economics and Business Relations","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128375134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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