RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제
      • 좁혀본 항목 보기순서

        • 원문유무
        • 원문제공처
          펼치기
        • 등재정보
        • 학술지명
          펼치기
        • 주제분류
        • 발행연도
          펼치기
        • 작성언어

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • SCOPUS

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

        Prashar, Sanjeev,Verma, Pranay,Parsad, Chandan,Vijay, T. Sai Korea Distribution Science Association 2015 The Journal of Asian Finance, Economics and Busine Vol.2 No.3

        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.

      • SCISCIESCOPUS

        Factors Affecting the Rate of CO<sub>2</sub> Absorption after Partial Desorption in NaNO<sub>3</sub>-Promoted MgO

        Prashar, Atul K.,Seo, Hwimin,Choi, Won Choon,Kang, Na Young,Park, Sunyoung,Kim, Kiwoong,Min, Da Young,Kim, Hye Mi,Park, Yong Ki American Chemical Society 2016 ENERGY AND FUELS Vol.30 No.4

        <P>Sodium nitrate (NaNO3) and other alkali nitrates are known to accelerate the CO2 absorption rate of MgO above their melting points. This absorption rate is further enhanced if absorption is performed after partial desorption. Moreover, it does not show any induction period, which is otherwise present if absorption is performed after complete desorption. A thorough study of various factors affecting the rate after partial desorption is performed in this work. We exposed a sample to CO2 for several different periods before partial desorption and N-2 for several different periods during partial desorption in a thermogravimetric analyzer. Absorbents were also characterized by X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET), and scanning electron microscopy (SEM) and studied in an in situ infrared (IR) cell to understand the changes at the molecular scale. The absorbed amount of CO2 with a fast initial rate after partial desorption is affected by both the amount of CO2 absorbed before partial desorption as well as the amount of MgO formed during partial desorption. In situ IR studies showed that two phases of bulk MgCO3 were formed along with the surface carbonate. It can be concluded from the thermogravimetric analysis (TGA) and in situ IR study that defects in MgO, which were introduced from the defect MgCO3 phase during partial desorption, are responsible for the faster rate after partial desorption. It seems that substitution of nitrate ions in the MgCO3 phase is responsible for the defect MgCO3 phase (out-of-plane bending vibration at 876 cm(-1)).</P>

      • KCI등재

        Factors Prompting Impulse Buying Behavior: Shoppers in Dubai

        Sanjeev Prashar,Adeshwar Raja B.,V. S. Parasaran,Vijay Kumar Venna 한국유통과학회 2015 Asian Journal of Business Environment (AJBE) Vol.5 No.3

        Purpose – This paper aims to identify and rank factors that influence impulse buying behavior among shoppers in Dubai. Research design, data, and methodology – Questionnaires were collected from 168 Dubai shoppers using non-probability quota sampling. Factor Analysis was completed to identify factors triggering impulse buying traits. Results – Six antecedent factors were identified: hedonism, in-store influences, product related influences, socialization, promotional activities, and convenience. Surprisingly, product related influences were the most significant in stimulating impulse buying behavior. Conclusions – This research suggests that a multitude of factors affect shopper propensity for impulse buying, with non-economic factors like product and in-store related influences having a significant impact. Hence, retail managers should concentrate on these in merchandising and promotional efforts. Against the backdrop of Dubai, one of the biggest retail destinations, this study contributes to present knowledge on impulse buying behavior. In terms of shopper inclinations and likeliness to purchase products, it highlights how shoppers respond to special in-store displays and discount offerings. For marketers, the findings regarding relative significance of various factors may help in strategies to attract consumers.

      • Facial Recognition - Guest Welcome Monitoring System Using Open-CV

        Deepak Prashar,Nagnath B. Aherwadi 한국디지털융합학회 2021 IJICTDC Vol.6 No.1

        Face is the important part of the human body structure that uniquely identifies a person. Therefore, it is used to trace identity as the possibilities for a face to deviate or being duplicated is low. Thus, using the face characteristics as biometric, the face recognition system can be implemented. So in this paper we are proposing an automatic welcome monitoring system for family functions to enhance and upgrade the guest welcome system into more efficient and effective manner. By means of technology, this idea will resolve the flaws existed in the current system while bringing guest welcoming to a whole new level by automating most of the tasks. The technology working behind will be the face recognition system. From the footage captured by the camera, our system will detect the face and recognize the guest who is coming to function hall. Captured image of the guest coming to function get compared against the data we are having in our database. If match found, the system will display their image and welcome message on screen present in function. In short this upgraded version of guest welcoming system not only saves time, but also provides huge convenience to the person as many processes are automated.

      • KCI등재

        Selecting a Web Portal for Online Shopping: A Conceptual Approach Using Interpretive Structural Modeling

        Sanjeev Prashar,T. Sai Vijay,Chandan Parsad 한국유통과학회 2015 Asian Journal of Business Environment (AJBE) Vol.5 No.4

        Purpose – The present study examines interrelationships among antecedent factors defining consumer behavior in selecting online shopping websites. Research design, data, and methodology – The study identified factors from existing literature and used Interpretive Structural Modeling (ISM) to propose a conceptual approach to explain consumer website selection behavior. Through extensive discussions among industry and academia experts, qualitative assessment of the relationship between various factors was determined. Results – According to the model, eight congregating factors do not converge directly for website selection, rather, they operate following a hierarchy of influence. The ISM and MICMAC analysis reveal that information on a website and website aesthetics play key roles in influencing website selection. However, convenience and the value proposition also play very significant roles. Conclusions – The study’s findings can help the e-commerce industry, especially online retailers. The findings can be used to enhance e-retailer ability to attract, communicate, engage, achieve, monitor, and evaluate web traffic and design appropriate strategies. The study’s prime contribution is the application of Interpretative Structural Modeling (ISM) to the field of website selection.

      • Detection of Sybil Attacks Using Improved AODV Protocol in Vehicular Ad Hoc Networks

        Deepak Prashar,Abdirahim A. Abshir,Amandeep Nagpal 한국디지털융합학회 2020 IJICTDC Vol.5 No.1

        Vehicular ad hoc network (VANET) has become most predominant on account of their usage in a vehicle to vehicle communication. But one of the major challenges in this network is the mobility of nodes involves in the communication. Either single-hop or multi-hop communication is used within the vehicle to vehicle communication. There are reactive, proactive, and hybrid routing protocols that are generally used within the multi-hop communication and for the path establishment, a reactive routing protocol named AODV is primarily used. Because of the decentralized nature of the network, there is a possibility of various attacks that reduce the performance of the network. One of the most devastating attacks is the Sybil attack which destroys the privacy of networks. This paper proposes a novel approach for the detection and isolation of the malicious nodes that are responsible for causing Sybil attack in VANETs through an improvement in the AODV protocol and thus the overall performance of the network is improved. Moreover, the proposed approach is compared with the existing one in terms of metrics like delay, packet loss, overhead, and throughput using the network simulator. Results confirmed that the proposed approach is quite effective in handling the network under the impact of a Sybil attack.

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

        Sanjeev Prashar,Pranay Verma,Chandan Parsad,T Sai Vijay 한국유통과학회 2016 KODISA ICBE (International Conference on Business Vol.2016 No.-

        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.

      • KCI등재

        Hierarchy of Shopping Experience at Indian Malls: A Conceptual Model using Interpretive Structural Modelling

        Sanjeev Prashar,Harvinder Singh,Pappu Raja Sekhara Sarma 한국유통과학회 2016 유통과학연구 Vol.14 No.2

        Purpose – The present study examines the interrelationship between various components constituting shopping experience in the context of the Indian shopping malls. Research design, data, and methodology – Extracting components of shopping experience from the literature review, the study used Interpretive Structural Modelling (ISM) to propose a conceptual model. The study adopted a mixed methods research involving theoretical constructs from past research, qualitative assessment of relationship between the constructs and imposing definite order and direction to qualitative relations based on mathematical computations. Results – Proposed model indicates that the five components of shopping experience (ambience, physical infrastructure, convenience, marketing focus and safety and security) do not converge directly into shopping experience. Rather, they operate following a hierarchy of influences in which marketing focus plays the role of the initiator. Conclusions – This model points at the order of preference of different components of shopping experience and can be a useful guide for retail industry, especially mall developers and supermarket/ hypermarket, may use the findings in key decisions about development of physical infrastructure, which are based on marketing focus.

      • KCI등재

        Impact of video product presentation and scarcity claim on mobile-based impulse buying

        Gupta Priyanka,Prashar Sanjeev,Parsad Chandan,Vijay Tata Sai 한국마케팅과학회 2023 마케팅과학연구 Vol.33 No.4

        The introduction of mobile shopping apps has resulted in the growth of impulse buying or excessive compulsion, especially in the fashion industry. This paper aims to establish a relationship between app stimuli (including performance expectancy, effort expectancy, atmosphere, layout, and privacy and security) and impulse buying behaviour. Besides this, it also examines the moderating effects of the video product presentation and product scarcity claim and the mediating effects of impulse buying intention and user satisfaction. The study was carried out in two phases. In the first phase, a paired t-test analysis was carried out to compare the mean of each set. This was followed by multi-group structural equation modelling to check the model’s validity. The results show that while video product presentation produced a significant difference between impulse buying intention and impulse buying behaviour for both the male and female respondents, scarcity claims achieved positive results only for male participants. The SEM results, meanwhile, demonstrated that both the mediating variables bear a relationship to performance expectancy, privacy and security, and impulse buying behaviour. However, effort expectancy was only related to impulse buying intention, while atmosphere and layout were exclusively associated with user satisfaction. Based on the findings of the study, theoretical and managerial implications are presented.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼