Organizational Behaviour - I

Ease of use and usefulness are believed to be fundamental in determining the acceptance and use of various, corporate ITs. These beliefs, however, may not explain the user’s behavior toward newly emerging ITs, such as the World-Wide-Web (WWW). In this study, we introduce playfulness as a new factor that reflects the user’s intrinsic belief in WWW acceptance. Using it as an intrinsic motivation factor, we extend and empirically validate the Technology Acceptance Model (TAM) for the WWW context. # 2001 Elsevier Science B.V. All rights reserved.

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Beyond the Usefulness and Ease of Use : Extending the TAM for a World - Wide - Web Context

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Handbook of Data Mining and Knowledge Discovery

Determinants of organic food consumption : A systematic literature review on motives and barriers

Under-sampling class imbalanced datasets by combining clustering analysis and instance selection

Purpose




Food gives us essential nutrients to lead a healthy lifestyle but lately it has been found that many food products have become hazardous due to contamination and lead to many diseases. The rampant use of pesticides and chemical-based fertilizers in agriculture has, increased the productivity but at the same time they have created an alarming situation for the environment. The demand of the hour is to therefore to encourage organic farming and offer a better choice to consumers as well as save the environment. The purpose of this paper is to explore and understand the factors affecting perception of consumers on organic food products in Indian context.




Design/methodology/approach




The study used a structured survey of 150 respondents covering Delhi and the National Capital Region (NCR) of Ghaziabad, Noida and Faridabad (India). Exploratory research was used to know the variables from the literature that affect the perception of consumers regarding organic food. Descriptive research was used to understand the demographic profile of the organic food consumer’s. Conclusive research design was used to test the hypotheses based upon the motivating and inhibiting factor in the growth of organic food.




Findings




The data collected from the survey were analyzed using t-test, χ2 test, factor analysis and multiple linear regression tests. Results indicated that the intention to purchase organic products was impacted by the consumer’s belief on the safety and health aspect of the product, trust and certification, information and availability and lifestyle and are hence drivers of growth. And certain impeding factors were identified like doubt in the professed quality of organic food, lack of awareness and price parity.




Social implications




There are enough evidences of fertile land being converted into wasteland because of use of agro- chemical-based fertilizers in farming. There are also enough incidents of polluted water (ground and surface) due to agrochemical-based farming. Heavy use of pesticides leads to adverse effect on the health of farmers also. There were many reports of farmers committing suicide because of debt due to heavy investment on pesticides and fertilizers. Organic farming is a win-win proposition for environment, farmers and consumer’s.




Originality/value




The study was an effort to understand awareness and perception of organic food consumers in urban India post-agriculture revolution. The result would help the organic food producing and marketing companies to understand the factors that influence the belief of consumers when they purchase organic food and henceforth they can formulate communication strategies and marketing policy based on consumer’s expectations.

An analysis of factors affecting growth of organic food: Perception of consumers in Delhi-NCR (India)

Telecommunication sector generates a huge amount of data due to increasing number of subscribers, rapidly renewable technologies; data based applications and other value added service. This data can be usefully mined for churn analysis and prediction. Significant research had been undertaken by researchers worldwide to understand the data mining practices that can be used for predicting customer churn. This paper provides a review of around 100 recent journal articles starting from year 2000 to present the various data mining techniques used in multiple customer based churn models. It then summarizes the existing telecom literature by highlighting the sample size used, churn variables employed and the findings of different DM techniques. Finally, we list the most popular techniques for churn prediction in telecom as decision trees, regression analysis and clustering, thereby providing a roadmap to new researchers to build upon novel churn management models.

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Review of Data Mining Techniques for Churn Prediction in Telecom

The purpose of this study is to explore the mediating role of Quality of Work Life on Job Burnout and Job Satisfaction relationship. The present research constituted of 240 doctors belonging to 4 d...

‘The Saviors Are Also Humans’: Understanding the Role of Quality of Work Life on Job Burnout and Job Satisfaction Relationship of Indian Doctors:

The communications sector is emerging with new technologies, wireless and wireline services. The industry's success expects a better perception of customer requirements and superior quality of service and models. Customer churn has a huge impact on companies and is the prime focus area for the companies to remain competitive and profitable. Hence, significant research had been undertaken by researchers worldwide to understand the dynamics of customer churn. This paper provides a review of around 75 recent journal articles (starting from year 2000) to identify the various churn factors and their complex relationships, in existing telecom churn literature. It gives detailed discussion of what factors were identified in various studies, the sample sizes used and the method used for the study by different researchers. The gaps identified in the previous studies have also been discussed. A model on churn factors, identified from the study is proposed to serve as a roadmap, to build upon exciting churn management techniques.

Richa Misra

Papers

An analysis of factors affecting growth of organic food: Perception of consumers in Delhi-NCR (India)

Review of Data Mining Techniques for Churn Prediction in Telecom

‘The Saviors Are Also Humans’: Understanding the Role of Quality of Work Life on Job Burnout and Job Satisfaction Relationship of Indian Doctors:

Review on factors affecting customer churn in telecom sector

An empirical investigation of student's motivation towards learning quantitative courses