• Asian Pacific Journal of Cancer Prevention
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• v.15 no.13
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• pp.5475-5482
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• 2014

Cervical cancer, the second most common malignancy all over the world, is associated with HPV infection. In a developing country like India, lack of early detection and treatment facilities is the main cause for its high burden. Therefore, through our study we e tried to present the current scenario of existing facilities for the detection and treatment of cervical cancer in hospitals and primary health centers (PHCs) of Delhi-NCR region. Data were collected from 312 healthcare facilities including public and private hospitals and PHCs of all nine districts from Delhi-NCR region. Healthcare providers including gynecologists, medical officers, women health care providers and paramedical staff were interviewed, using a questionnaire; the facilities for screening, diagnosing, and treating cervical cancer in each institution were recorded, using a previously designed checklist. Our study has shown that the basic facilities for the detection and treatment of cervical cancer are abhorrently lacking in Public hospitals and PHCs as compared to the Private hospitals in Delhi-NCR region. This study demonstrates that there is an urgent need for more investment in the diagnosis and treatment of cervical cancer facilities in public and rural healthcare facilities of Delhi-NCR region.

• Journal of Information Science Theory and Practice
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• v.1 no.2
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• pp.69-83
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• 2013

This paper aims to determine the preference and use of electronic information and resources by blind/visually impaired users in the leading National Capital Region (NCR) libraries of India. Survey methodology has been used as the basic research tool for data collection with the help of questionnaires. The 125 in total users surveyed in all the five libraries were selected randomly on the basis of willingness of the users with experience of working in digital environments to participate in the survey. The survey results were tabulated and analyzed with descriptive statistics methods using Excel software and 'Stata version 11'. The findings reveal that ICT have a positive impact in the lives of people with disabilities as it helps them to work independently and increases the level of confidence among them. The Internet is the most preferred medium of access to information among the majority of blind/visually impaired users. The 'Complexity of content available on the net' is found as the major challenge faced during Internet use by blind users of NCR libraries. 'Audio books on CDs/DVDs and DAISY books' are the most preferred electronic resources among the majority of blind/visually impaired users. This study will help the library professionals and organizations/institutions serving people with disabilities to develop effective library services for blind/visually impaired users in the digital environment on the basis of findings on information usage behavior in the study.

• The Journal of Asian Finance, Economics and Business
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• v.2 no.3
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• pp.5-15
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• 2015

This research paper has been attempted to inventory the atmospheric factors, contributing to better sales. Exploratory study was undertaken to identify various signs of store atmospherics variables that influence the buying behaviour of buyers. Thirty-four variables identified from this study were used to create a structured questionnaire. This questionnaire was then administered among shoppers in NCR Delhi using non-probability convenience sampling. To determine the atmospheric factors, Principal Component Analysis (PCA) along with Varimax Rotation was attempted. Using principal component factor analysis on the data collected, nine factors were identified to have impact on the store atmospheric. These were Querulous, Music, Sensitive, Budget Seeker, Sensuous, Light, Idler, Space seeker and Comfort Seeker. Contrary to the various earlier studies where music, space seeker and comfort seeker were considered to be most significant factors, light and querulous have emerged out to be the major factor that influences the store atmospheric. This study shows that customers are sensitive, space seekers and sensuous. Constituents of these factors reveal distinct patterns. This research may be used as guidelines for development and management of shopping malls in emerging countries. Retail marketers in India can take this cue in designing their strategies to attract consumers.

• Asia-Pacific Journal of Business
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• v.4 no.1
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• pp.25-30
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• 2013

Today a consumer is confused and he looks only for values in relation to the prices spent by him/her in the buying process. He/She relates value in terms product pricing, brand value, his experiences etc. This therefore gives a vast scope for organized retailing that can make products available as per the aspirations of the consumer. For these organized retailers, Shopping Malls are acting as a catalyst and helping them to enhance their growth all over the country. They are providing them the required infrastructure and also helping them to achieve a faster growth. The present study is therefore done visualizing the opportunities available in the Indian market and the issues faced by the mushrooming of Malls in Indian metropolitan cities making their survival difficult due to cut-throat competition. This is also resulting in poor occupation and is not able to find neither the right rentals nor the footfalls.

• The Journal of Industrial Distribution & Business
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• v.8 no.6
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• pp.7-16
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• 2017

Purpose - Today's world revolves around search engines which are the driving force behind any marketer. The thirst for marketing has led to the evolution of online 'Pay per click' over last few years and is the most widely used instrument. Research design, data, and methodology - Exploratory research design highlights many marketing variables getting affected by pay per click marketing. To analyze the said phenomenon, the data was gathered through questionnaire from the sample of 338 respondents which were selected by simple random sampling method mostly from the National Capital Region (NCR) of Delhi in India. The data collected from the respondents was loaded on SAS base for exploratory factor analysis and multiple regression analysis. Results - Pay per click as a marketing tool has significant impact on the consumers. The most prominent factors of pay per click marketing identified in the research are Ad quality, Competition, Targeting, Trend and Budget. Conclusions - Organic as well as inorganic ads, keeping in mind the end goal to gage the exchange of these two postings in the marked look territory. Additionally, here we dissected supported pursuit promotions in all. It would be beneficial to break down the impact of promotion position on the pay per click marketing.

• Asian Journal of Business Environment
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• v.7 no.1
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• pp.13-23
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• 2017

Purpose - Pleasing ambient colors, music, scent, layout and salespeople are hypothesized to positively impact shoppers' perceptions about the atmosphere of a store. Few studies on the interactive effect of these atmospheric factors have earlier been undertaken. This paper looks at the interactive effect of color on the other predictor variables. Research design, data, and methodology - This study is from field locations in the shopping malls located in Delhi NCR. A descriptive study was undertaken to decipher the interactive effect of color with music, scent, layout and salespeople. Moderation of color on music, scent, layout and salespeople is regressed on store atmospherics. The authors investigate the effects of color, light, music, scent, layout and salespeople on store atmospherics in a retail context. They also study the interactive effect of color with predictor variables which significantly influence the perception of store atmospherics. Results - The paper reveals that music, scent, layout and salespeople influence customer's perception about store atmospherics. The interactive effect of color with scent, layout and sales people influence customer's perception about store atmospherics significantly. It does not moderate with layout and music. Conclusions - Store color is important in predicting store atmospherics. Care is needed to ensure that the effects of different environmental stimuli match.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.33-40
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• 2020

The main aim of the study is to test a house pricing model by combining hedonic and asset-based pricing models. An understanding of the relationship between house pricing and its return (the rental income) helps to establish houses as a significant asset class. The model tested the relationship between house pricing (dependent variable) and the house attributes (independent variables) derived from Freeman's framework of housing attributes. This study uses a large data-set of 1,899 sample of new, high-end houses purchased between 2016 and 2019 collected from the national capital region of India (Delhi-NCR). The algorithm was built in R-Script, and stepwise multiple linear regression was used to analyze the model. The analysis of the model proves that the three significant variables, namely, carpet area, pay-off, and annual maintenance charges explain the price function. Further, the model is statistically fit. The major contribution of the study is to understand the key factors and their influence on the house pricing. The model will be helpful in risk assessment in the housing investment and enhance the chances of investment. Policy-makers can use information about the underlying valuation drivers of the house prices to stabilize the market and also in framing the tax policies.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.507-517
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• 2020

The present research intends to examine the relationship between the Big Five personality traits and leadership initiations among the marketing executives in Delhi NCR (INDIA), and seeks to uncover the predictors of leadership initiations within personality traits. The data are collected through online survey method using different social media platforms. A sample of 233 (male =136 and female =97) marketing executive's responses were included. The data collected with the help of self-reported Big Five model inventory and leadership initiation test. The collected data were analyzed statistically by using descriptive statistics, correlation. and stepwise multiple regression analysis. The results revealed that the age of respondents inversely correlated with leadership initiation. Neuroticism revealed significant inverse correlation with leadership initiation, whereas significant positive correlations were found between extraversion, conscientiousness, agreeableness, and leadership initiations, while openness to experience revealed insignificant positive correlation with leadership initiation. Extraversion and conscientiousness appeared as the most dominant personality traits among marketing executives, irrespective of gender, that positively influenced leadership initiation and appeared as the predictor of leadership initiation. In male executives extraversion and age emerged as the predictors of leadership behavior, while in female executives extraversion and openness to experience personality traits appeared as the predictors of leadership initiation.