IOSR-JBM   Volume-22 ~ Issue-9 ~ Sep. 2020

Abstract: Purpose-This research paper examines the relationship between various factors that affect the consumer-buying behavior towards online shopping in China and Uzbekistan. Purpose of study is to use the technology acceptance model in both the countries to identify the effect of the six dimensions' risk including: convenience financial risk, product risk, the risk of non-delivery, the risk of buying back the underlying risk on customers' attitudes to that may affect the consumer buying behavior toward online shopping in both the countries and give a comprehensive comparative analysis. Adding to the purpose the study also highlight the factors need to improve by online shopping stores and portal in order to motivate more consumers to online shopping. Design/methodology/approach- To achieve the purpose, study uses self made self explanatory questionnaire distributed with probability sampling in both the countries. 100 questionnaires were distributed to online consumers of both the countries.........

Keywords: Online Shopping, Consumer-Buying Behavior, Customer Easiness, Customer Satisfaction

[1]. Alzola, L. M. (2012). Cost in E-commerce B2C model: Customers Perspective. Reviews on Internet Shopping , pp-12.
[2]. Al-Zubi, D. Z. (2015). The Effect of New Technological Changes In Improving.
[3]. Andrew, L. (2018). E-commerce in China. Newyork: Journal of E-commerce & Communication System.
[4]. Arasli, H. S. (2005a). Customer Service Quality in the Greek Cypriot Banking Industry, Managing Service Quality. 15 (1).
[5]. Cheng, M. (2017). E-commerce in China, Future is Already Here. E-commerce Reviews , pp-23.

Abstract: Company value is the value used by investors to compare the market value of a company's stock with its book value. In 2015-2018 company value as measured by Price to Book Value (PBV) on the LQ45 Index in Indonesia experienced a downward trend, while during the same period company values in the Singapore STI experienced a fluctuating trend. This study aims to evaluate published explanatory findings regarding the determinants of company value in the LQ45 and STI indices during the 2015-2018 period with Good Corporate Governance as a moderating variable. The research sample of 47 companies consisted of 21 companies in the LQ45 index and 26 companies in STI. The data analysis technique used in this study is Moderated Regression Analysis (MRA). The results showed that both Return on Equity (ROE), Institutional Ownership (INST) and Debt to Equity Ratio (DER.......

Keywords: Price to Book Value, Return on Equity, Debt to Equity Ratio, Dividend Payout Ratio, Firm Size, Good corporate governance.

[1]. Anton, S. G. 2016. The impact of dividend policy on firm value. A panel data analysis of Romanian listed firms. Journal of Public Administration, Finance and Law, (10), 107-112.
[2]. Apsari, I. A. 2015. Pengaruh Return on Equity, Net Profit Margin, Debt to Equity Ratio, Dan Longterm Debt to Equity Ratio terhadap Price Book Value (Studi Pada Perusahaan Sub SektorMakanan Dan Minuman Yang Terdaftar Di Bursa Efek Indonesia PeriodeTahun 2010-2013). JurnalAdministrasiBisnis, 27(2).
[3]. Astuti, F. Y., Wahyudi, S., &Mawardi, W. 2018. Analysis of Effect of Firm Size, Institutional Ownership, Profitability, and Leverage on Firm Value with Corporate Social Responsibility (CSR) Disclosure as Intervening Variables (Study on Banking Companies Listed on BEI Period 2012-2016). JurnalBisnisStrategi, 27(2), 95-109.
[4]. Astuti, F. Y., Wahyudi, S., &Mawardi, W. 2018. Analysis of Effect of Firm Size, Institutional Ownership, Profitability, and Leverage on Firm Value with Corporate Social Responsibility (CSR) Disclosure as Intervening Variables (Study on Banking Companies Listed on BEI Period 2012-2016). JurnalBisnisStrategi, 27(2), 95-109.
[5]. Bemby, S. B., Hakiki, A. M., &Ferdianti, R. 2015. Intellectual capital, firm value and ownership structure as moderating variable: Empirical study on banking listed in Indonesia stock exchange period 2009–2012. Asian Social Science, 11(16), 148-159..

Abstract: Background: The role of SMEs is crusial in economic growth. To help them running their business, they need to use information system. The research objective was to test the functional level of the Point of Sales (POS) information system and to analyze the effectiveness of the POS information system. Materials and Methods: The research method tested the functional level of the system using the black box testing method and testing using the equivalent partitioning. The analysis of the effectiveness of the POS information system use the PIECES method. The analysis process was carried out by distributing questionnaires to 183 respondents about the effectiveness of the POS information system using six variables and testing the validity........

Keywords: InformationSystem; Point of Sales; SMEs; Black Box Testing;PIECES

[1]. Andarwati, M., Zuhroh, D., & Amrullah, F. (2019). End User Satisfaction of Accounting Information System (AIS) Mobile Based for Small Medium Enterprises (SMEs): Actual Usage and TAM Approach. Journal of Development Research, 3(2), 37-42.
[2]. Andarwati, M., Nirwanto, N., & Darsono, J. T. (2018). Analysis of factors affecting the successof accounting information systems based on information technology on SME managementsas accounting informationend user. EJEFAS Journal, (98), 97-102.
[3]. Bersaing Perusahaan dan Organisasi Modern. Penerbit Andi.Fatah, H. Al. (2008). Analisis dan perancangan sistem informasi. Yogyakarta: Andi Offset.
[4]. Khan, M. E. (2011). Different Approaches to Black Box Testing Technique for Finding Errors. International Journal of Software Engineering & Applications, 2(4), 31.
[5]. Kosasi, S. (2019). Perancangan Sistem Informasi Integrasi Aplikasi Point of Sale Mini Market. TECHSI-Jurnal Teknik Informatika, 7(1), 69-102

Abstract: A bank is an institution that acts as a financial intermediary between those who have funds and those who need funds. The bank functions to expedite payment traffic. Effective organizational performance is a measure in an organization that will be the keyword in an organization that will become its own competitiveness in business competition. The important thing that must be considered is how to increase organizational commitment and organizational performance, including through organizational culture, job engagement and organizational learning. Research objectives: (1) Describe the influence of organizational culture, job engagement, organizational learning, organizational commitment and organizational performance, (2) Analyzing the influence........

Keywords: organizational culture, job engagement, organizational learning, organizational commitment, organizational performance.

[1]. Allen, N. J., and Meyer, J. P. 2013. The Measurement and Antecedents of Affective, Continuans and Normative Commitment to Organization. Journal of Occupational Psychology. Vol. 63. No. 1. Pp: 1-18.
[2]. Azizollah, A. A. F., & Amin D. M. 2016. The Relationship between Organzational Culture and Organizational Comiitment in Zahedan University of Medical Science. Global Journal of Health Science. Vol. 8. No. 7. Pp: 195-197.
[3]. Bello, O. B., &Adeoye, A. O. 2018. Organizational Learning, Organizational Innovation and Organizational Performance: Empirical Evidence Among Selected Manufacturing Companies in Lagos Metropolis, Nigeria. Journal of Economics and Management. Vol. 33. No. 3. ISSN: 1732-1948. DOI: 10.22367/jem.2018.33.02.
[4]. Calantone, R. J., Cavusgil, S. T., Zhao, Y. 2002. Learning Orientation, Firm Innovation Capability and Firm Performance. Industry Marketing Manage. Vol. 31. No. 6. Pp: 515-524.
[5]. Colquitt, J. A, Lepine J. A, Wesson M J. 2011. Organizational Behavior. New York: Mc Graw-Hill..

Abstract: Empowerment of Small and Medium Enterprises (SMEs) is one of the alternatives chosen by the government in an effort to reduce unemployment, alleviate poverty and to distribute income. To empower SMEs, the role of government, financial institutions and business actors is needed. The model of empowering SMEs in increasing competitiveness and business performance consists of several variables, namely: entrepreneurial orientation, product innovation, utilization of e-commerce, market orientation (Susana, et al. 2019). In this study, a model was developed and further refined based on the results of a model trial using data collected from SMEs in Malang Regency. The objectives of this study are (1) To determine strategic policies for the empowerment of Small and Medium Enterprises........

Keywords: Empowerment of SMEs, regional potential, market orientation

[1]. Alam. 2013. Effect of Market Orientation on Small Business Perormance in Small Town In Malaysia: An Emprical Study on Malaysian Small Firms, Journal of Strategic Marketing, Vol 1, No. 3.
[2]. Ahimbisibwe, Godwin dan Abaho Ernst. 2013. Export Entrepreneurial Orientation and Export Performance of SMEs in Uganda. Global Advanced Research Journal of Management and Business Study, Volume 2(1), January
[3]. Apulu, I., Latham, A. 2011 "Driver for Information and Communication Technology Adoption: A Case Study of Nigerian Small and Medium Sized Enterprises, International Journal of Business and Management, Vol. 6, (5).
[4]. Darsono, J T., Susana, E., Prihantono, E Y., Kasim, E S. 2019. Strategic policies For small and Medium Businesses In Marketing through E-Commerce, Journal Entrepreneurship And Sustainability, Issues 7 (2), 1230-1245.
[5]. Fairoz, F. M., T. Hirobumi, dan Y. Tanaka. 2010. Entrepreneurial Orientation and Business Performance of Small and Medium Sales Enterprises of Hamban-tota District Sri Lanka. Asian Social Science. 6(3): 34-46.

Abstract: This study aims to analyze the effects of selected macroeconomic variables, which are the Fed Funds Rate, US Inflation Rate, DJIA Index Price and WTI Price – as independent variables on the gold price – as dependent variable. The research data consists of monthly-interval data, which observed through the period of 1971 to 2019, totaled 588 specimen for each variables. All data used are secondary in panel data formats hence sampling method is not required. The method of data analysis is Multiple Linear Regression (MLR) Analysis. The analysis results found that all independent variables simultaneously have a positive-significant effect on gold price and coefficient of determination (R-squared)of79.8%. Furthermore, it was founds that both the Fed Funds Rate and the US Inflation Rate had no effect on gold price. On the other hand, both the DJIA Index Price and the WTI Price havea positive-significant effect on gold price. The implication of this study is that gold stakeholders are recommended to paya closer attention on DJIA Index Price and WTI Price fluctuations when making decision to Buy or Sell gold.

Keywords: Gold Price, Fed Funds Rate, US Inflation, DJIA Index Price, WTI Price

[1]. Akgül, Işıl et al. 2015. "Evaluating the nonlinear linkage between gold prices and stock market index using Markov-Switching Bayesian VAR models". Procedia - Social and Behavioral Sciences 210, 408 – 415. 4th International Conference on Leadership, Technology, Innovation and Business Management
[2]. Anuar bin Sukri, Muhamad Khairul et al. 2015. "The Relationship between Selected Macroeconomic Factors and Gold Price in Malaysia" International Journal of Business, Economics and Law, Vol. 8, Issue 1, ISSN 2289-1552
[3]. Bisnoi, Rahul & Lan, Jai. 2014. "An Empirical Analysis of Factors Affecting Gold Prices". IJHPD Vol 3 No. 2
[4]. Choong, Pik San et al. 2012. "Determinants of Gold Price: Using Simple and Multiple Liner Reression". Universiti Tunku Abdul Rahman.
[5]. Choueiri, Fadlo & Kawarani, Patrick. 2014. "The Gold Commodity: Economic Determinants & Future Prospects". Credit Libanais Economic Research Unit.

Abstract: Background: India has been in lockdown since March 25, 2020. Indian migrant workers during the COVID-19 pandemic have faced multiple hardships. But their cries for help have gone largely unheard. Employment opportunities remain the main cause of out-migration. Due to large concentration of population, inequality and poverty etc. in West Bengal state has experienced large scale out-migration. Materials and Methods:In recent years, 2019-2020, there has been an increase in the outflow of people from backward districts of the state of West Bengal. The state ranks fourth among the states of India from where people migrate for work and employment, the Census 2011 data reveals. Between 2001 and 2011, nearly 5.8 lakh people migrated from West Bengallooking for work. The number of migrants is now over 11 lakh, according to the state government. Some of the returning migrants in lock down cause flow of Covid-19 cases in rural Bengal. The study is based entirely........

Keywords: Migrant workers, Corona virus, Unemployment, Poverty

[1]. Bhargava, Y. 2020. ―Coronavirus lockdown Railway to run ‗Shramik Special' trains to move migrant workers, other standard persons‖. The Hindu. ISSN 0971-751X. (1 May 2020), Retrieved 9 May 2020.
[2]. Bhattacharya, S. 2020. Returning migrants cause surge of Covid-19 cases in rural Bengal. Hindustan Times; Updated: May 27, 2020 02:51 IST Kolkata.
[3]. Chatterjee, T.2020. Migrant workers from Murshidabad leave home again. Hindustan Times,Updated: Aug 18, 2020 11:10 IST Kolkata..