Qualification: 
Ph.D
Email: 
g_sangeetha@cb.amrita.edu

A gold medallist in her graduation and post graduation, she has received her doctoral degree from Indira Gandhi Institute of Development Research, Mumbai. She started her teaching career at XLRI, Jamshedpur after which she moved base to be with her family at Coimbatore. She was a faculty member at KPR School of Business along with teaching as visiting faculty at various institutions including Loyola Institute of Business Administration, Chennai, PSG Institute of Management, Coimbatore, AEGIS Global Academy, Coimbatore. She has also worked in the industry as manager-administration for over two years. Her areas of interest include econometric applications, reforms in transition economies and economics of institutions. She has actively participated in workshops on law and economics and has presented papers in national and international conferences. She also has to her credit adapted the book ‘Basic Econometrics’: 4th edition (2007) by Damodar N Gujarati and 5th edition (2011) to Indian audiences. Her research experience includes work done at Hong Kong Polytechnic University, Hong Kong, study on Jharkhand State as part of a project sponsored by UNDP and the Department of Economic Affairs, Government of India and independent consultancy project on ‘Coimbatore -2025’ for Indian Chamber of Commerce and Industry, Coimbatore.

Publications

Publication Type: Journal Article

Year of Publication Publication Type Title

2017

Journal Article

T. Ta Goud, Smrithirekha, Vab, and Dr. Sangeetha G, “Factors influencing group member satisfaction in the software industry”, Advances in Intelligent Systems and Computing, vol. 468, pp. 223-230, 2017.[Abstract]


Software Development is a group process involving several stakeholders making decisions based on a number of factors. Research in Group Decision-Making reveals that satisfaction of group members plays a significant role in the performance of the group and the outcomes. In this paper, we present the details of our study on the factors influencing the satisfaction of group members in software projects. While there has been good amount of work on satisfaction of group members through experiments, very few of them talk about satisfaction levels of current practitioners. We surveyed 80 software professionals from different companies in India and abroad at various levels of hierarchy. We found that participation of leader and other group members in the group decision-making process has significant impact on the satisfaction with the decision outcome. While currently the software industry is focusing on technology to make better decisions, our survey gives key insights on how social factors influence the decision outcomes and the role of a leader in enhancing the satisfaction of group members. © Springer Science+Business Media Singapore 2017.

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Publication Type: Conference Paper

Year of Publication Publication Type Title

2017

Conference Paper

A. Kaveri, Dr. Sangeetha G, Dr. Deepak Gupta, and Pratap, M., “Decoding Engagement in MOOCs: An Indian Learner Perspective”, in Proceedings - IEEE 8th International Conference on Technology for Education, T4E 2016, 2017, pp. 100-105.[Abstract]


Building on existing works that hold 'learner engagement' central to learning, this paper seeks to decode the constituents of student engagement in MOOC learning. Specifically we model the impact of preference for learning styles and the different motivations to learn on learner engagement in MOOCs. We propose that an inclination to learn new things, lifelong learning attributes and paying for a course will positively impact engagement. Treating learner engagement in MOOCs as a 'latent construct', we employ a Structural Equation Model (SEM) on a dataset of Indian MOOC learners to test our hypothesis. Our analysis shows that learners who indicate love for learning as a reason for learning are more engaged in MOOCs. The results also indicate that those learners who are comfortable with learning and understanding new things are more engaged in MOOCs. Learners who prefer learning by themselves show lesser engagement in MOOC learning. We have argued in this paper that the current discussion on learning outcomes in MOOCs is unidimensional in its focus on MOOC success as a 0-1 activity centered on completion. Learning is a multi-dimensional activity and in order to take our current understanding of MOOCs forward, it is important to consider broader aspects of learning and its outcomes. Measuring engagement and the factors that lead to engagement were a first step towards a developing a more holistic understanding of MOOC based learning. The results from this study - one of the first to focus on learner engagement in MOOCs - are encouraging as it proposes an alternate way to look at success in MOOCs. © 2016 IEEE.

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2017

Conference Paper

A. Rajan, Manuel, B., Sankar, K. S. Hari, and Dr. Sangeetha G, “Technological advancement and tourism: A panel data analysis of ASEAN countries”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.[Abstract]


Tourism is growing to be an important source of income for ASEAN countries. There are many factors that affect the inflow of tourists to a country. Two models, namely, one-way Fixed Effect Model (FEM) and one-way Random Effect Model (REM) are employed to understand the impact of various factors on tourism inflow in ASEAN associated countries. Data from 2007-2014 are analyzed towards this purpose. Due to unavailability of data on one country, we are analyzing 9 countries out of 10 member countries of ASEAN association. Results indicate that Technological Advancement, Crime Rate and transportation facility in member countries of ASEAN association affects the tourism in ASEAN Countries.

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2017

Conference Paper

M. S. Nekethna and Dr. Sangeetha G, “Export behaviour and Innovation-A tobit analysis”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.[Abstract]


For any firm, knowledge acquisition happens in either of the two ways. One being internal Innovation and the other one being knowledge transfer which happens as a result of International activities like Exports and imports. This paper studies the relationship between these two methods of knowledge acquisition. Indian Chemical industry in itself is unique because it consists of different sub sectors which behave differently. The R&D intensity determinants of the sub sectors of Chemical industry are studied in this paper based on two sets of independent variables namely Firm specific characteristics and market concentration. Censored Tobit regression was employed. It was found that both in Chemical as well as Pharma industries, the Export orientation of the firm positively contributes to the R&D intensity of the firm.

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2017

Conference Paper

A. Mishra, Dr. Sangeetha G, and Dr. Deepak Gupta, “Influence of product perception and discounts on the preference of online payment”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.[Abstract]


The increasing mobile penetration and improving payment infrastructure have propelled the growth of digital payments in India. But e-Tailers are still struggling with declining growth rates contributed by cash on delivery payments. Despite the enormous research done on various factors of payment infrastructure and their influence on the adoption or use of online payments, the studies have not examined how consumer perception of products and offered discounts can influence their preference towards online payment methods. This study aims to evaluate product perception, discount buying behavior of consumer and cash back related perceptions as motivators of online payments. The data collected through an online survey across India was analyzed using logistic regression. The findings suggest that product perception influences consumers' choice of payment method. It was also found that discount buyers are more likely to prefer online payments and that the awareness of cash back offers improves the preference towards online payments, but additional discounts offered on card payments seem to work far better than cash backs to influence online payment for the purchase. © 2016 IEEE.

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2015

Conference Paper

A. Kaveri, Dr. Sangeetha G, Dr. Deepak Gupta, and Pratap, M., “Decoding the Indian MOOC learner”, in Proceedings of the 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education, MITE 2015, 2015, pp. 182-187.[Abstract]


Massive Open Online Courses have been looked at both as disruptive innovation as well as the biggest experiment in education in recent times. 15 Million learners have turned to MOOCs as in 2014 and Indians constitute the second largest share of the MOOC user base. This paper attempts to understand some of the essential characteristics that distinguish a MOOC user from a non-user in India. A proprietary survey for understanding MOOC consumers has been used to draw insights on demographics of potential MOOC users including age, occupation, gender, educational backgrounds as well as some salient aspects of their personality, learning styles and life goals. Three logistic regression models have been tested. The first model investigates the impact of background demographic variables and internet skills of respondents on the choice to enroll in at least one MOOC course. The second model includes key personality traits that are hypothesized to influence the user adoption of MOOCs and the full modeladdsvariables pertaining to learning styles, learning environment and life goals. Those with better internet skills and an existing preference for learning through videos were seen to be significantly more likely to adopt MOOCs. Personality traits aligned with an openness to try new things were seen to influence the adoption decision but the learning styles and learning environment did not differentiate users from non-users. The results also indicate a significant influence of gender and age. © 2015 IEEE. More »»

2015

Conference Paper

Dr. Suresh M., Bid, K., and Dr. Sangeetha G, “Inbound international tourism development in India: A panel data analysis on its affecting factors”, in 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, 2015.[Abstract]


Tourism is a fast and continuous growing industry. Tourism generates new employment opportunities and it is a significant source of foreign exchange earnings for the country. Foreign exchange earnings generated through the inbound international tourism plays a significant role in the India's economic growth. This paper identifies the factors influencing the inbound tourist demand in Indian states and union territories using panel data analysis (fixed-/random effects model) technique. The paper spans over 3 years (2010 to 2012) and across 35 states and union territories. The paper indicates that literacy rate, consumer price index, number of tourist operators, and presence of domestic, international or metro airport in states has a significant impact in determining the foreign tourists demand in Indian states. © 2015 IEEE.

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2015

Conference Paper

A. P. Pillai, Ashok, A., and Dr. Sangeetha G, “Facebook as a site of information: A study in the Indian context”, in 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, 2015.[Abstract]


With the increasing advent of social media in perpetrating changes in social and political issues, world leaders also find it necessary to be part of a social media platform to communicate with their electorates. There is a lot of information on current affairs, world news, and political propaganda movements on social networking sites (SNS). This study aims to understand how personality traits and online sociability impacts the use of Facebook as a Site of information. This is one of the first studies focusing on this aspect of Facebook in the context of an Indian social networking population. The results indicate that online sociability, gender, conscientiousness, neuroticism and frequency of Facebook usage significantly impacts the usage of Facebook as a site of information. The parameter estimates of online sociability, conscientiousness, neuroticism and frequency of Facebook usage were all found to be positive indicating that the more a person embodied these characteristics/habits, the more likely he is to use Facebook for sharing links on current affairs and thereby as a site of information. © 2015 IEEE.

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2015

Conference Paper

S. Iyer, Mohan, N., Dr. Sangeetha G, and Gupta, D., “Paid membership and online matrimony portals - An Indian study”, in 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, 2015.[Abstract]


Technological innovations and advent of e-commerce have given rise to the internet portals in recent times. One such development can be seen in the field of matrimony. The evident cultural shift in the outlook of marriage in India and adoption to new technology has enabled the growth of matrimonial service portals. Dispersed families adapt to online matrimonial services to seek most of the marriage-related information. Most of the matrimonial portals that hold the major market share work on freemium model. The present study attempts to analyze the influences that motivate online matrimony service users to become a paid member rather than being a free member. We explore the question using a logistic regression model on the data obtained from one of India's premier matrimony portals. Our results show significant gender based differences in terms of factors that influence the proclivity to take a paid membership. By this attempt the study aims to help the matrimonial service providers to target their customers/members efficiently and effectively. More »»

2015

Conference Paper

K. S. Vighnesh, Pavithra, A., Prakash, J. P., and Dr. Sangeetha G, “IT-ITeS sector's export performance - A comparative study using regression”, in 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, 2015.[Abstract]


Exports in IT-ITeS industry is one of the significant contributors in the total service exports of India. Firm characteristics, ownership structure and industry characteristics significantly impact the export performance of Indian service firms. Two models, namely, pooled OLS regression and two-way Random Effect Model (REM) are employed to identify the difference between export the performance of the IT-ITeS industry and other service industries. It was found that the earnings through the export of IT-ITeS industries, is higher than that observed in other service industries. Also, the model is used to identify the effect of firm characteristics on export earnings. Furthermore, it was found that export behavior varies across different ownership groups. © 2015 IEEE.

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AMRITA
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15
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A
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RANK(INDIA):
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150+
INTERNATIONAL
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