RISS 학술연구정보서비스

검색

인기 검색어

    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
    KCI등재

    Identifying the direct mail-prone consumer

    한글로보기

    https://www.riss.kr/link?id=A103950347

    • 0

      상세조회
    • 0

      다운로드
    서지정보 열기
    • 내보내기
    • 내책장담기
    • 공유하기
    • 오류접수

    부가정보

    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Current modeling research in target marketing usually stresses the identification of profitablenames for specific mailings. There is little recent research about the characteristics of typicaldirect mail (DM) customers. In this paper we determine the link between customers’ socio-demographiccharacteristics and their propensity of purchasing products through the mail. We hypothesize the existence of a latent variable DM-proneness, whichrepresents a consumer’s tendency to shop via direct mail. Our model links the socio-demographicsof customers to their self-reported purchase behavior through the latent variable DM-pronenessin a Multiple Indicators and Multiple Causes (MIMIC) model. We also introduce a second latent variable, DM-informationinterest, which represents the desire to receive direct offers through the mail. Themodel allows for testing the influence of DM-information interest on DM-proneness.The model is fit on actual consumer data using the LISREL program.The findingsshow that the characteristics of the DM-prone and the DM-information interested are almost similar,and that DM-information interest appears to directly affect DM-proneness. The DM-prone consumer is identified as being relatively younger, having somewhat lower education, being rather well-off, having a larger family size and is relatively more likely to have a female head of the household.We also show that consumer’s tendency to shop via direct mail can be captured by a latent variable approach, and that DM-proneness can be quite well predicted by demographic consumer characteristics.
    번역하기

    Current modeling research in target marketing usually stresses the identification of profitablenames for specific mailings. There is little recent research about the characteristics of typicaldirect mail (DM) customers. In this paper we determine the ...

    Current modeling research in target marketing usually stresses the identification of profitablenames for specific mailings. There is little recent research about the characteristics of typicaldirect mail (DM) customers. In this paper we determine the link between customers’ socio-demographiccharacteristics and their propensity of purchasing products through the mail. We hypothesize the existence of a latent variable DM-proneness, whichrepresents a consumer’s tendency to shop via direct mail. Our model links the socio-demographicsof customers to their self-reported purchase behavior through the latent variable DM-pronenessin a Multiple Indicators and Multiple Causes (MIMIC) model. We also introduce a second latent variable, DM-informationinterest, which represents the desire to receive direct offers through the mail. Themodel allows for testing the influence of DM-information interest on DM-proneness.The model is fit on actual consumer data using the LISREL program.The findingsshow that the characteristics of the DM-prone and the DM-information interested are almost similar,and that DM-information interest appears to directly affect DM-proneness. The DM-prone consumer is identified as being relatively younger, having somewhat lower education, being rather well-off, having a larger family size and is relatively more likely to have a female head of the household.We also show that consumer’s tendency to shop via direct mail can be captured by a latent variable approach, and that DM-proneness can be quite well predicted by demographic consumer characteristics.

    더보기

    참고문헌 (Reference)

    1 Webster, F. E. Jr, "‘Deal-prone’ consumer" 2 : 186-189, 1965

    2 Ajzen, I., "Understanding attitudes and predicting social behavior" Prentice-Hall 1980

    3 Cunningham, I. C. M., "The urban in-home-shopper : Socioeconomic and attitudinal characteristics" 49 : 42-50, 1973

    4 Mulhern, F. J., "The relationship between retail price promotions and regular price purchases" 59 : 83-90, 1995

    5 Donthu, N., "The internet shopper" 39 : 52-58, 1999

    6 Park, C. W., "The effects of situational factors on in-store grocery shopping behavior: The role of store environment and time available for shopping" 15 : 422-433, 1989

    7 Berger, P., "The effect of sample size and proportion of buyers in the sample on the performance of list segmentation equations generated by regression analysis" 6 : 13-22, 1992

    8 Martinez, E., "The effect of consumer’s psychographic variables upon dealproneness" 13 : 157-168, 2006

    9 Mace, S., "The determinants of pre- and post-promotion dips in sales of frequently purchased goods" 61 : 339-350, 2004

    10 Bawa, K., "The coupon-prone consumer: Some findings based on purchase behavior" 51 : 99-110, 1987

    1 Webster, F. E. Jr, "‘Deal-prone’ consumer" 2 : 186-189, 1965

    2 Ajzen, I., "Understanding attitudes and predicting social behavior" Prentice-Hall 1980

    3 Cunningham, I. C. M., "The urban in-home-shopper : Socioeconomic and attitudinal characteristics" 49 : 42-50, 1973

    4 Mulhern, F. J., "The relationship between retail price promotions and regular price purchases" 59 : 83-90, 1995

    5 Donthu, N., "The internet shopper" 39 : 52-58, 1999

    6 Park, C. W., "The effects of situational factors on in-store grocery shopping behavior: The role of store environment and time available for shopping" 15 : 422-433, 1989

    7 Berger, P., "The effect of sample size and proportion of buyers in the sample on the performance of list segmentation equations generated by regression analysis" 6 : 13-22, 1992

    8 Martinez, E., "The effect of consumer’s psychographic variables upon dealproneness" 13 : 157-168, 2006

    9 Mace, S., "The determinants of pre- and post-promotion dips in sales of frequently purchased goods" 61 : 339-350, 2004

    10 Bawa, K., "The coupon-prone consumer: Some findings based on purchase behavior" 51 : 99-110, 1987

    11 Verhoef, P. C., "The commercial use of segmentation and predictive modeling techniques for database marketing in The Netherlands" 34 : 471-481, 2003

    12 Chen, C., "The EM approach to multiple indicators and multiple causes model via the estimation of the latent variable" 76 : 704-708, 1981

    13 Bollen, K. A., "Structural equations with latent variables" Wiley 1989

    14 West, S. G., "Structural equation models with non-normal variables problems and solutions, In Structural equation modeling concepts, issues and applications" Sage Publications 1995

    15 Gehrt, K. C., "Situational, consumer, and retailer factors affecting internet, catalog, and store shopping" 32 : 5-18, 2004

    16 Belk, R. W., "Situational variable and consumer behavior" 2 : 157-164, 1975

    17 Ainslie, A., "Similarities in choice behavior across product categories" 17 : 91-106, 1998

    18 Heckman, J. J., "Sample selection bias as a specification error" 47 : 153-161, 1979

    19 Blattberg, R. C., "Sales promotions : Concepts, methods, and strategies" Prentice-Hall 1990

    20 Malthouse, E., "Ridge regression and direct marketing scoring models" 13 : 10-23, 1999

    21 Massy, W. F., "Purchasing behavior and personal attributes" University of Pennsylvania Press 1968

    22 Bollen, K. A., "Pearson’s r and coarsely categorized measures" 46 : 232-239, 1981

    23 Joreskog, K. G., "PRELIS : A program for multivariate data screening and data summarization, a preprocessor for LISREL(2nd ed.)" Scientific Software 1988

    24 Bult, J. R., "Optimal selection for direct mail" 14 : 378-394, 1995

    25 Nicholson, M., "One brand, three ways to shop: Situational variables and multichannel consumer behavior" 12 (12): 131-148, 2002

    26 Boomsma, A., "On the use of normal scores for ordinal and censored variables in PRELIS : An expository note" 41 : 19-45, 1992

    27 Konus, U., "Multi-channel customer segmentation" 84 (84): 398-413, 2008

    28 Wansbeek, T. J., "Measurement error and Latent Variables in Econometrics" Elsevier 2000

    29 Darian, J. C., "In-home shopping: Are there consumer segments?" 63 : 163-185, 1987

    30 Gillett, P. L., "In-home shoppers—an overview" 40 : 81-88, 1976

    31 Kamakura, W. A., "Identifying innovators for the cross-selling of new products" 50 : 1120-1133, 2004

    32 Gonu l, F. F., "How to compute optimal catalog mailing decisions" 25 : 65-74, 2006

    33 Richardson, P. S., "Household store brand proneness: A framework" 72 : 159-185, 1996

    34 Walters, R. G., "Exploring the relationships between shopping trip type, purchases of products on promotion, and shopping basket profit" 56 : 17-29, 2003

    35 Joreskog, K. G., "Estimation of a model with multiple indicators and multiple causes of a single latent variable" 71 : 631-639, 1975

    36 Simester, D. I., "Dynamic catalog mailing policies" 52 : 683-696, 0504

    37 Van Heerde, H. J., "Decomposing the promotional revenue bump for loyalty program members versus nonmembers" 42 : 443-457, 2005

    38 Throckmorton, J., "Creative methods: An overview, In The direct marketing handbook" McGraw-Hill 343-355, 1992

    39 Bawa, K., "Coupon attractiveness and coupon proneness: A framework for modeling coupon redemption" 34 : 10-2307, 1997

    40 Peterson, R. A., "Consumers who buy from direct sales companies" 65 : 273-286, 1989

    41 Cunningham, R. M., "Brand loyalty—what, where, and how much" 34 : 116-128, 1956

    42 Lichtenstein, D. R., "Assessing the domain specificity of deal proneness: A field study" 21 : 314-326, 1995

    43 Courtheoux, R., "Analysis of list segmentation efficacy and campaign optimization" 18 : 70-89, 2004

    44 Teunter, L. H., "Analysis of Sales Promotion Effects on Household Purchase Behavior" Erasmus University Rotterdam 2002

    45 Belk, R. W., "An exploratory assessment of situational effects in buyer behavior" 11 : 156-163, 1974

    46 Lichtenstein, D. R., "An examination of deal proneness across sales promotion types: A consumer segmentation perspective" 73 : 283-297, 1997

    47 모선종, "A Study on the Strategic Use of an IMC Planning Model for the Distribution Industry" 한국마케팅과학회 18 (18): 103-133, 2008

    48 Yun-Hee Kim, "A New Shopper Typology: Utilitarian and Hedonic Perspectives" 한국마케팅과학회 21 (21): 101-111, 2011

    더보기

    분석정보

    View

    상세정보조회

    0

    Usage

    원문다운로드

    0

    대출신청

    0

    복사신청

    0

    EDDS신청

    0

    동일 주제 내 활용도 TOP

    더보기

    주제

    연도별 연구동향

    연도별 활용동향

    연관논문

    연구자 네트워크맵

    공동연구자 (7)

    유사연구자 (20) 활용도상위20명

    인용정보 인용지수 설명보기

    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2027 평가 재인증평가 신청대상 (재인증)
    2021-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2018-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2015-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2011-09-28 학회명변경 영문명 : Korean Academy Of Marketing Science -> Korean Scholars of Marketing Science KCI등재
    2011-09-27 학술지명변경 한글명 : Journal of Global Academy of Marketing Science(마케팅과학연구) -> Journal of Global Scholars of Marketing Science(마케팅과학연구) KCI등재
    2011-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2010-05-20 학술지명변경 한글명 : 마케팅과학연구 -> Journal of Global Academy of Marketing Science(마케팅과학연구)
    외국어명 : Journal of Global Academy of Marketing Science -> 全球营销科学学报
    KCI등재
    2009-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2008-02-27 학술지명변경 외국어명 : Journal of Korean Academy of Marketing Science -> Journal of Global Academy of Marketing Science KCI등재
    2006-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2005-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2003-07-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
    더보기

    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.7 0.7 0.77
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.74 0.69 1.385 0.03
    더보기

    이 자료와 함께 이용한 RISS 자료

    나만을 위한 추천자료

    해외이동버튼