Asian Journal of Management

Akhila R. Udupa ¹, G. Kotreshwar ²

Affiliations
1 Seshadripuram Institute of Management Studies, Yelahanka New Town, Bangalore – 560064, IN
2 Department of Studies in Commerce, Manasagangotri, University of Mysore, Mysore – 570 006, IN

Abstract

"Medical Tourism", refers to the increasing tendency among people from the UK, the USA and many other third world countries, where medical services are either very expensive or not available, to leave their countries in search for more affordable health options, often packaged with tourist attractions (Rao, 2006)1. Medical tourism is an industry which combines two closely related services, like, medical treatment and tourism (RNCOS,2007)². This is a booming industry in countries like, India, Singapore, Thailand, Malaysia, Australia, Srilanka, etc. SERVQUAL model developed by Parasuraman, Zeithaml and Berry has high implications for Medical Tourism as it highlights the main requirements for delivering high service quality. As customer is the king, creating "customer delight" to the foreign medical tourist by providing the quality service by reducing the customer expectation gaps is a challenge for medical tourism providers. The application of SERVQUAL model is handy to enable a hospital engaged in Medical Tourism to deliver superior quality service resulting in customer satisfaction amidst competition. This can also be effective for creating customer loyalty and brand building.

Keywords

This Paper Seeks to Study the Advantages of Applying Servqual Model by Various Hospitals Which are Engaged in Medical Tourism in India, Some Service Delivery and Marketing Strategies by Using The Servqual Model are Discussed to Enhance Superior Service Delivery by Medical Tourism Providers.

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N. M. Jyothi Shivakumar ¹, G. Kotreshwar ¹

Affiliations
1 DoS in Commerce, University of Mysore, Manasagangotri, Mysore, Karnataka State, IN

Abstract

Agriculture is the backbone of the Indian Economy with its contribution to the sustenance of over 60% of county’s population. High voltage price variability of agri commodities continues to dampen the prospects of agriculture sector. Emerging agri-commodity futures market offers an excellent opportunity to hedge the price risk. This study is undertaken to analyse the behavior of futures price of Maize which is one of the major agri commodities in India. Earlier research studies have focused on modeling price discovery process of commodities other than maize. This study aims to examine and fit a suitable ARIMA (Auto Regressive Integrated Moving Average) MODEL for the purpose of estimation of the futures price of maize. This study is based on secondary data. Daily closing price of Maize was collected from NCDEX website for the period starting from October 2013 to March 2016 with the total 213 observations. Econometric tools such as Unit Root Test, ACF, PACF are applied and model adequacy test was done on the fitted model. The result shows that ARIMA (2,1,1) is the most appropriate model to forecast the price of Maize in India.

Keywords

Futures Price, Stationarity, Autoregressive Process, ARIMA Model

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