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Factors Defining Store Atmospherics in Convenience Stores: An Analytical Study of Delhi Malls in India

  • Prashar, Sanjeev;Verma, Pranay;Parsad, Chandan;Vijay, T. Sai
    • 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.

Pay Per Click Marketing Strategies: A Review of Empirical Evidence

  • Bhandari, Ravneet Singh
    • 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.

Cloning of hexavalent chromium reductase gene from E.coli ATCC 33456

  • Lee, Han-Ki;Ahn, Min-Jung;Bae, Woo-Chul;Jeong, Byeong-Chul
    • 한국생물공학회:학술대회논문집
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    • 2000.11a
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    • pp.672-675
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    • 2000
  • E.coli ATCC 33456 has relatively higher activity of Cr(VI) reduction than other microorganism. The purpose of this research is cloning of Cr(V) reductase from E.coli ATCC 33456. Using colony and southern hybridization, we selected two condidates. Among candidates, pNCR9 is higher Cr(VI) reduction activity than E.coli ATCC 33456. Purified Cr(VI) reductase antibody was reacted at estimated 42Kda protein band of candidate's crude extract on 12% SDS-PAGE. This results showed cloned gene's product is very similar to purified Cr(VI) reductase from E.coli ATCC 33456.

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Complete Mitochondrial Genome of a Tongue Worm Armillifer agkistrodontis

  • Li, Jian;He, Fu-Nan;Zheng, Hong-Xiang;Zhang, Rui-Xiang;Ren, Yi-Jing;Hu, Wei
    • Parasites, Hosts and Diseases
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    • v.54 no.6
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    • pp.813-817
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    • 2016
  • Armillifer agkistrodontis (Ichthyostraca: Pantastomida) is a parasitic pathogen, only reported in China, which can cause a zoonotic disease, pentastomiasis. A complete mitochondrial (mt) genome was 16,521 bp comprising 13 protein-coding genes (PCGs), 22 tRNA genes, 2 rRNA genes, and 1 non-coding region (NCR). A phylogenetic tree drawn with the concatenated amino acid sequences of the 6 conserved PCGs (atp6, cox1-3, and nad2) showed that A. agkistrodontis and Armillifer armillatus constituted a clade Pentastomida which was a sister group of the Branchiura. The complete mt genome sequence of A. agkistrodontis provides important genetic markers for both phylogenetic and epidemiological studies of pentastomids.

Moderating Effect of Color on Store Atmospherics Predictors

  • Verma, Pranay;Prashar, Sanjeev
    • 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.

Study on Effective Arrangement of Main Engine Top-Bracing (메인 엔진 탑-브레이싱의 효과적 배치에 관한 연구)

  • Choung, Joon-Mo;Min, Dug-Ki
    • Journal of the Society of Naval Architects of Korea
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    • v.48 no.4
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    • pp.289-298
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    • 2011
  • This paper provides procedures to effectively determine arrangement of hydraulic type top-bracings, which are popular for the main engine of the mid and large sized commercial vessels. Analyzing the operation mechanism of hydraulic top-bracing, ideal unified nonlinear stiffness curve is presented for linear frequency response analysis and nonlinear transient response analysis. Nonlinear stiffnesses of the curve are determined based on the regression analysis of test results. It is noted from linear frequency response analysis, initial setting pressure is most important among the setting values of the other stiffness intervals. From transient response analyses for two top-bracing arrangement scenarios, it is recognized that, as far as initial setting pressure is well controlled for the concerning vessels, only two top-bracings are enough to suppress H-mode excitation forces from main engine.

An Empirical Testing of a House Pricing Model in the Indian Market

  • HODA, Najmul;JAFRI, Syed Ashraf;AHMAD, Naim;HUSSAIN, Syed Mannawar
    • 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.

Impact of Big Five Model on Leadership Initiation in Critical Business Environment Among Marketing Executives

  • MIRALAM, Mohammad Saleh;ALI, Nasir;JEET, Vikram
    • 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.

FPGA application for wireless monitoring in power plant

  • Kumar, Adesh;Bansal, Kamal;Kumar, Deepak;Devrari, Aakanksha;Kumar, Roushan;Mani, Prashant
    • Nuclear Engineering and Technology
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    • v.53 no.4
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    • pp.1167-1175
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    • 2021
  • The process of automation and monitoring in industrial control system involves the use of many types of sensors. A programmable logic controller plays an important role in the automation of the different processes in the power plant system. The major control units are boiler for temperature and pressure, turbine for speed of motor, generator for voltage, conveyer belt for fuel. The power plant units are controlled using microcontrollers and PLCs, but FPGA can be the feasible solution. The paper focused on the design and simulation of hardware chip to monitor boiler, turbine, generator and conveyer belt. The hardware chip of the plant is designed in Xilinx Vivado Simulator 17.4 software using VHDL programming. The methodology includes VHDL code design, simulation, verification and testing on Virtex-5 FPGA hardware. The system has four independent buzzers used to indicate the status of the boiler, generator, turbine motor and conveyer belt in on/off conditions respectively. The GSM is used to display corresponding message on the mobile to know the status of the device in on/off condition. The system is very much helpful for the industries working on plant automation with FPGA hardware integration.

Role of Forensic Accounting to Strengthen Corporate Governance : An Empirical Study

  • Bhasin, Madan Lal
    • The Journal of Economics, Marketing and Management
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    • v.5 no.1
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    • pp.1-20
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    • 2017
  • An increasing number of researchers are finding that 'poor' CG is a leading factor in dismal performance, manipulated financial reports, and unhappy stakeholders. Undoubtedly, qualified, trained and mature Chartered Forensic Accountants (CFA's) can prove to be a valuable asset to the corporate sector, and gradually help to improve their CG system. The fundamental objective of this study is to find out "how can we integrate the expertise of the FA to improve the overall CG scenario prevalent in India?" This is a preliminary investigation of the necessary skills, educational and training requirements for CFA's to improve CG system. During 2011-12, a questionnaire-based survey was conducted in the NCR of India using a sample size of 120 practicing chartered accountants, accounting academics, and potential users of FA services. Results indicate that potential practitioners, academics and users agree that "critical thinking, written & oral communication, legal knowledge, auditing skills, deductive analysis, investigative flexibility, analytical proficiency and unstructured problem-solving are the most important skills required for the CFAs." Moreover, we found that all of the skills investigated in this study are 'potentially' important for the CFAs, which the educators at the Universities should use as an overall guide while designing their FA curriculum."