IOSR-JBM   Volume-22 ~ Issue-10 ~ Oct. 2020

Abstract: Education providers. especially in the higher education domain are getting progressively informed of the progressive effect of science and technology such as the difficulties in assigning time for learning modules in the conventional up close and personal interactions because of the increasing requirement for improved distance learning for Corporate engagements like Internships or Projects, the need to perform more diligently because of the competitive environment in higher education and students being in different courses as well as even in different combinations because of specialization. They are in this way adjusting rapidly to the Change and are moving to give a wide scope of alternatives for their commitment. The increasingly adaptable modesof delivery that are available for students especially in University courses give different scope and routes to those looking for opportunities to improve their education opportunities.......

[1]. FalihAlsaty, David Abrahams (2016), "Traditional Versus Online Learning in Institutions of Higher Education: Minority Business Students' Perceptions", Article in "Business Management and Research" May 2016.
[2]. Stack Steve (2015), "Learning Outcomes in an online vs traditional course", International Journal for Teaching and Learning", Vol 9, Number 1, January 2015.
[3]. Amanda Hurlbut (2018), "Online vs. traditional learning in teacher education: a comparison of student progress", American Journal of Distance Education, Vol 32 Issue 4, October 2018
[4]. Jingayo Qui, Guiwei Wang, (2017), "Traditional Classroom vs E-learning in Higher Education: Difference between Students' Behavioral Engagement, International Journal of Emerging Technologies in Learning, Vol 9, No 2.
[5]. Khorsandi, Kobra (2012), "Online vs. Traditional Teaching Evaluation: A Cross-Sectional Study", Science Direct, Vol 46, 2012.
[6]. Hanine Airduob (2018), "E-learning vs traditional learning", https://www.academia.edu/5768507/E_learning_vs_traditional_learning_hanine_

Abstract: Deep cleaning has become an increasingly important tool in the fight for infection control especially in this age of increasing antibiotic resistance and the risk to patients of aggressive and highly contagious pathogens. As many pathogens can survive for weeks on a surface, introducing a new patient to an infected area is not acceptable. It is essential to admit patients into a clean environment. The study was undertaken at a private hospital in Vadodara to assess the following of Surface Disinfection Practices for three weeks. Methodology: The study was undertaken at a private Hospital in Vadodara. The different department were observed through a structured close ended checklist. The observation was carried out for three weeks. The departments chosen were: OPD, IPD, OT, CCU, Radiology, Emergency........

[1]. JAMES A. O'BRIEN, "Management Information System", Published by TATA MCGRAW-HILL Publishing Company Limited.
[2]. P.V.JOSHY'S "Path to liberation from known to unknown", Mothilal Banarasidass publishers Delhi.
[3]. KELLY'S "Issue, Theory and Research in Industrial and Organizational Psychology, Elsevier BV, North Holland.
[4]. K.M. MOHAPATRA, "Technology Environment and Human Values", Concept publishing company, New Delhi.
[5]. SWAMI SRI RAJARSHI MUNI'S "Yoga- the ultimate spiritual path", from Motilal Banarasidass publications Delhi.
[6]. DR UMESH SHARMA, "Stress management through ancient wisdom and modern science" Published by Excel books.

Abstract: The technology plays a very important role in the development and competitiveness of organizations and therefore requires proper management. Technological management has been strengthened by integrating new concepts and new tools that help and add value to an organization, which in practice are applied for systematic development and in obtaining an economic benefit and business value. As an objective and purpose, this focuses first on an analysis of the conceptual references of these different tools, such as databases, Big Data, and Business Intelligence and their use in general and on the other hand in their implementation. It is evident that a vision is required that admits dynamism for the generation of knowledge and its use in production processes. It is known that in some entities the use of these technologies and their experience with these tools seek to have a better vision in the.......

Key Word: Stock brokers; Big data, Data accounting, Decision making

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Abstract: The short-termanalysis of a country'seconomy in a context of globalisation and interdependenceis a verydelicate and complexexercise for the management of economic and monetarypolicy. Indeed, managers and politicaldecision-makersscrutinize the economic conditions of the moment, make anticipations, and adapttheirgovernanceaccordingly. Thus, the evolution of the parametersthat influence the rate of growth of the Gross Domestic Product (GDP) fuels passions and animatesdebates. Time seriesfrom the real and financialeconomy do not have the samecharacteristics, both in terms of their sampling frequency and theirpredictive contribution. This raises questions about the use of these data: -Which temporal aggregationis the most relevant? -Whatindicatorsshouldbeconsidered?....

[1]. Andreou E., Ghysels E., Kourtellos A.(2010). "Regression Models With Mixed Sampling Frequencies", Journal of Econometrics, 158, pp. 246-261.
[2]. Andreou E., Ghysels E., Kourtellos A. (2011). "Forecasting with mixed-frequency data" In C M, D Hendry (eds.), Oxford Handbook of Economic Forecasting, pp. 225-245.
[3]. Andreou E., Ghysels E., Kourtellos A. (2013). "Should macroeconomic forecasters look at daily_nancial data? " Journal of Business and EconomicStatistics, 31, pp. 240-251.
[4]. Armesto M., Engemann K., Owyang M. (2010). "Forecasting with mixed frequencies." Federal Reserve Bank of St. Louis Review, 92, pp. 521{536}.
[5]. Bai J., Ghysels E., Wright J. (2012). "State Space Models and MIDAS Regressions." EconometricReviews (forthcoming).
[6]. Banerjee A., and Marcellino M. (2006). "Are there any reliable leading indicators for US inflation and GDP growth ?", International Journal of Forecasting, 22(1) pp.137–151..

Abstract: Knowledge Management (KM) and a specific model of KM in hospitals impacts on the efficiency and performance standards of hospitals The application of KM is the healthcare sector is challenging with constant development in the area through R&D and advancement of technology; for which a systemized process or model is required to be adopted The hospitals not only have to look into the competitive edge but also have to focus on improving the healthcare services for which a proper system or model is required. If we look into storing of data and information, the hospitals of Guwahati are doing it in various forms and training programmes are also being organized. But the need is to analyse how effective is the current system. The present Research aims at looking into this aspect of the hospitals operating in Guwahati to understand system and model KM adopted and discuss on an applicable model of KM in the hospitals

Keywords: corporate strategy, knowledge management, KM framework, hospitals, performance.

[1]. ACM: Ubiquity - Working Knowledge: How Organizations Manage What they do (1998), Harvard Business School Press
[2]. Bordoloi, P and Islam, N. "Knowledge Management Practices and Healthcare Delivery: A Contingency Framework" The Electronic Journal of Knowledge Management Volume 10 Issue 2 (pp110-120,).
[3]. Choi, B., Poon, S.K. & Davis, J.G., Effects of knowledge management strategy on organizational performance: A complementarity, The international Journal of Management Science , 36, 2006, 235 – 251.
[4]. Dr. Nirmala Devi (2016), Status of Public Health Care Delivery System–A case study of Nagaon and Nalbari district of Assam (India), IOSR Journal Of Humanities And Social Science (IOSR-JHSS) Volume 22, Issue 10, Ver. 12 (October. 2017) PP 42-48
[5]. Dr. Indranee Dutta Shailly Bawari (2007) Health and Healthcare in Assam A Status Report, Centre for Enquiry into Health and Allied Themes (CEHAT), 2007.

Abstract: The purpose of this research is to know and analyze the effect of product quality on brand image, the influence of price on brand image, the influence of product quality on purchasing decisions, the influence of price on purchasing decisions and the influence of product quality on purchasing decisions and the influence of price on purchasing decisions through brand image. The research was conducted on honda car consumers in Makasar city by setting a sample of 175 respondents data obtained analyzed using Analysis Structural Equation Model (SEM) with the help of AMOS. The results showed that directly the quality of the product had a positive and insignificant effect on the brand image, the price had a positive and significant impact on the brand image, the quality of the product had a positive and significant effect on the purchase decision, the price had a positive and significant effect on the purchase decision, and the price had a positive and significant effect on the purchase decision through the brand image.

Keywords: Product Quality, Price, BrandImage, and Purchasing Decision

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