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    다채널 쇼핑과 유통업체 충성도의 관계에 대한 실증적 연구

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    국문 초록 (Abstract) kakao i 다국어 번역

    최근의 유통환경에서 유통업체와 고객과의 상호작용 채널이 다양화됨에 따라 다채널 고객관리(multichannel customer management)의 중요성이 증가하고 있다. 기업수준에서 다채널 이용과 고객 충성도의 관계에 대한 기존 연구의 경우 두 가지 개념이 서로 관련성이 있다고 주장되어 왔다. 그러나 이러한 연구들의 경우 직접적으로 인과관계를 고찰하지 못하거나 부분적이고 제한적인 접근 또는 측정방법을 사용하여 이를 고찰하여 왔다. 이에 대하여 본 연구는 다채널 유통업체의 회원고객을 대상으로 설문조사와 고객 데이터베이스를 통합한 자료를 바탕으로 구성요소(component-wise) 접근방법을 통하여 다채널 이용(정보탐색 및 제품구매 단계)과 고객 충성도(태도적 및 행동적 충성도)의 관계를 실증적으로 고찰하였다. 658명의 고객을 대상으로 약 18개월 동안의 고객자료를 관측한 결과 정보탐색 및 제품구매 단계 모두에서 고객의 다채널 이용은 유통업체에 대한 태도적 및 행동적 충성도에 긍정적인 영향을 미치는 것으로 나타나고 있다. 그러나 이러한 결과는 고객의 채널 이용패턴 별로 많은 차이가 있는 것으로 나타나고 있다. 즉, 모든 다채널 이용패턴이 모든 단일채널 이용패턴에 비하여 반드시 높은 충성도를 보이는 것이 아닌 것으로 나타나고 있다. 이러한 연구결과는 유통업체의 다채널 고객이 높은 매출액을 발생시키는 이유를 설명하고, 다채널 고객관리가 기업의 고객관계관리(CRM)에서 중요한 역할을 수행하고 있음을 설명함으로써 이론적 및 실무적 시사점을 제공하고 있다.
    번역하기

    최근의 유통환경에서 유통업체와 고객과의 상호작용 채널이 다양화됨에 따라 다채널 고객관리(multichannel customer management)의 중요성이 증가하고 있다. 기업수준에서 다채널 이용과 고객 충성...

    최근의 유통환경에서 유통업체와 고객과의 상호작용 채널이 다양화됨에 따라 다채널 고객관리(multichannel customer management)의 중요성이 증가하고 있다. 기업수준에서 다채널 이용과 고객 충성도의 관계에 대한 기존 연구의 경우 두 가지 개념이 서로 관련성이 있다고 주장되어 왔다. 그러나 이러한 연구들의 경우 직접적으로 인과관계를 고찰하지 못하거나 부분적이고 제한적인 접근 또는 측정방법을 사용하여 이를 고찰하여 왔다. 이에 대하여 본 연구는 다채널 유통업체의 회원고객을 대상으로 설문조사와 고객 데이터베이스를 통합한 자료를 바탕으로 구성요소(component-wise) 접근방법을 통하여 다채널 이용(정보탐색 및 제품구매 단계)과 고객 충성도(태도적 및 행동적 충성도)의 관계를 실증적으로 고찰하였다. 658명의 고객을 대상으로 약 18개월 동안의 고객자료를 관측한 결과 정보탐색 및 제품구매 단계 모두에서 고객의 다채널 이용은 유통업체에 대한 태도적 및 행동적 충성도에 긍정적인 영향을 미치는 것으로 나타나고 있다. 그러나 이러한 결과는 고객의 채널 이용패턴 별로 많은 차이가 있는 것으로 나타나고 있다. 즉, 모든 다채널 이용패턴이 모든 단일채널 이용패턴에 비하여 반드시 높은 충성도를 보이는 것이 아닌 것으로 나타나고 있다. 이러한 연구결과는 유통업체의 다채널 고객이 높은 매출액을 발생시키는 이유를 설명하고, 다채널 고객관리가 기업의 고객관계관리(CRM)에서 중요한 역할을 수행하고 있음을 설명함으로써 이론적 및 실무적 시사점을 제공하고 있다.

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    In recent years, one of dramatic trends in the shopping environments has been the proliferation of channels through which customers can interact with retailers. Accordingly, multichannel customer management has become a very important topic to both academicians and practitioners. But, the question if the relationship between the multichannel usage and customer retailer loyalty is causal still remains unexplained and needs to be more empirical validation (Neslin et al. 2006). Even if previous research suggested that multichannel customers are profitable customers in terms of sales volume (Kushwaha and Shankar 2005; Myers et al. 2004), there has not been much explanation about why customers` multichannel usage leads higher sales volume. Accordingly, if the causal relationship between multichannel usage and customer loyalty is supported, it will be possible to explain that higher sales volume is the result of increased customer loyalty. Existing some research on multichannel marketing has supported the relationship between multichannel usage and customer loyalty based on piecemeal approaches and measurements. While research based on survey has dealt with attitudinal loyalty, research with customer data base has focused not on customer behavioral loyalty but on customer purchase related variables (purchase frequency, purchase quantity, and purchase money, etc.). Moreover, both research has only focused on multichannel usage in product purchase stage among decision making processes. This study presents a systemetic component-wise approach to test the relationship between the multichannel usage (information search and product purchase stage) and customer retailer loyalty (attitudinal and behavioral loyalty). First, multichannel usage has a positive effect on customers` attitudinal loyalty. It is expected that multichannel usage leads to perceived higher customer service because each channel has a unique advantage (for example, 24/7 service for Website channel) and so multichannel usage has produced a usage of service portfolio (Wallace et al. 2005). Moreover, if firm implements multichannel integration (Berman and Thelen 2004), the multichannel customers will have a seamless customer experience (for example, order by online or catalog and pick up at nearest store). Second, multichannel usage has a positive effect on customers` behavioral loyalty. It is expected that the multichannel customers will have more opportunity to firm`s various marketing activities, which will enhance customers` behavioral loyalty. Specifically, it is said that customer loyalty program (for example, reward and incentive program) is one of the representative marketing activities for both retaining customer and blocking switching. Hypothesis test was implemented by integrating data with survey data and customer database of a membership-based multichannel retail company. While information search multichannel usage and attitudinal loyalty were measured by survey to members, product purchase multichannel usage (analysing customer purchase data during six months before survey) and behavioral loyalty (observing customer defect during one year after survey) were measured by customer database. Correlation analysis shows that the correlation coefficients between attitudinal and behavioral loyalty are low and two variables are different constructs each other. ANOVA, regression and LOGIT were used as analysis methods. Regression analysis shows that 1) multichannel usage enhances customer retailer loyalty of attitudinal aspect. This result expands the Wallace et al.`s(2004) assertion that multichannel usage is closely related to customer service portfolio. And this finding reinforces empirically Payne and Frow`s(2004) claim that multichannel integration increases the perceived service quality to retailing firms. Also, LOGIT analysis reveals that 2) multichannel usage has a positive effect on customer`s behavioral loyalty. This finding extends and explains empirically th
    번역하기

    In recent years, one of dramatic trends in the shopping environments has been the proliferation of channels through which customers can interact with retailers. Accordingly, multichannel customer management has become a very important topic to both ac...

    In recent years, one of dramatic trends in the shopping environments has been the proliferation of channels through which customers can interact with retailers. Accordingly, multichannel customer management has become a very important topic to both academicians and practitioners. But, the question if the relationship between the multichannel usage and customer retailer loyalty is causal still remains unexplained and needs to be more empirical validation (Neslin et al. 2006). Even if previous research suggested that multichannel customers are profitable customers in terms of sales volume (Kushwaha and Shankar 2005; Myers et al. 2004), there has not been much explanation about why customers` multichannel usage leads higher sales volume. Accordingly, if the causal relationship between multichannel usage and customer loyalty is supported, it will be possible to explain that higher sales volume is the result of increased customer loyalty. Existing some research on multichannel marketing has supported the relationship between multichannel usage and customer loyalty based on piecemeal approaches and measurements. While research based on survey has dealt with attitudinal loyalty, research with customer data base has focused not on customer behavioral loyalty but on customer purchase related variables (purchase frequency, purchase quantity, and purchase money, etc.). Moreover, both research has only focused on multichannel usage in product purchase stage among decision making processes. This study presents a systemetic component-wise approach to test the relationship between the multichannel usage (information search and product purchase stage) and customer retailer loyalty (attitudinal and behavioral loyalty). First, multichannel usage has a positive effect on customers` attitudinal loyalty. It is expected that multichannel usage leads to perceived higher customer service because each channel has a unique advantage (for example, 24/7 service for Website channel) and so multichannel usage has produced a usage of service portfolio (Wallace et al. 2005). Moreover, if firm implements multichannel integration (Berman and Thelen 2004), the multichannel customers will have a seamless customer experience (for example, order by online or catalog and pick up at nearest store). Second, multichannel usage has a positive effect on customers` behavioral loyalty. It is expected that the multichannel customers will have more opportunity to firm`s various marketing activities, which will enhance customers` behavioral loyalty. Specifically, it is said that customer loyalty program (for example, reward and incentive program) is one of the representative marketing activities for both retaining customer and blocking switching. Hypothesis test was implemented by integrating data with survey data and customer database of a membership-based multichannel retail company. While information search multichannel usage and attitudinal loyalty were measured by survey to members, product purchase multichannel usage (analysing customer purchase data during six months before survey) and behavioral loyalty (observing customer defect during one year after survey) were measured by customer database. Correlation analysis shows that the correlation coefficients between attitudinal and behavioral loyalty are low and two variables are different constructs each other. ANOVA, regression and LOGIT were used as analysis methods. Regression analysis shows that 1) multichannel usage enhances customer retailer loyalty of attitudinal aspect. This result expands the Wallace et al.`s(2004) assertion that multichannel usage is closely related to customer service portfolio. And this finding reinforces empirically Payne and Frow`s(2004) claim that multichannel integration increases the perceived service quality to retailing firms. Also, LOGIT analysis reveals that 2) multichannel usage has a positive effect on customer`s behavioral loyalty. This finding extends and explains empirically th

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    참고문헌 (Reference)

    1 김상훈, "정보탐색과 구매 단계에서 온라인과 오프라인 채널선택의 영향요인" 12 (12): 69-90, 2007

    2 최자영, "소비자 정보탐색 및 구매 단계에서 멀티채널(Multichannel) 선택 행동에 관한 연구" 한국소비자학회 15 (15): 103-120, 2004

    3 김기탁, "다채널 전략이 소매업체 충성도에 미치는 영향: 화장품 산업을 중심으로" 7 (7): 129-151, 2006

    4 전종근, "고객관계관리에 있어서 다채널 전략의 효과 분석" 9 (9): 29-43, 2004

    5 Tang, F.-F., "Will the Growth of Multichannel Retailing Diminish the Pricing Efficiency of the Web?" 77 : 319-333, 2001

    6 Verhoef, P. C., "Understanding the Effect of Customer Relationship Management Efforts on Customer Retention and Customer Share Development" 67 (67): 30-45, 2003

    7 Rossi, P., "The Value of Purchase History Data in Target Marketing" 15 (15): 321-340, 1996

    8 Inman, J. J., "The Roles of Channel-Category Associations and Geodemographics in Channel Patronage" 68 (68): 51-71, 2004

    9 Payine, A., "The Role of Multichannel Integration in Customer Relationship Management" 33 (33): 527-538, 2004

    10 Shankar, S., "The Relationship between Customer Satisfaction and Loyalty in Online and Offline Environments" 20 (20): 153-175, 2003

    1 김상훈, "정보탐색과 구매 단계에서 온라인과 오프라인 채널선택의 영향요인" 12 (12): 69-90, 2007

    2 최자영, "소비자 정보탐색 및 구매 단계에서 멀티채널(Multichannel) 선택 행동에 관한 연구" 한국소비자학회 15 (15): 103-120, 2004

    3 김기탁, "다채널 전략이 소매업체 충성도에 미치는 영향: 화장품 산업을 중심으로" 7 (7): 129-151, 2006

    4 전종근, "고객관계관리에 있어서 다채널 전략의 효과 분석" 9 (9): 29-43, 2004

    5 Tang, F.-F., "Will the Growth of Multichannel Retailing Diminish the Pricing Efficiency of the Web?" 77 : 319-333, 2001

    6 Verhoef, P. C., "Understanding the Effect of Customer Relationship Management Efforts on Customer Retention and Customer Share Development" 67 (67): 30-45, 2003

    7 Rossi, P., "The Value of Purchase History Data in Target Marketing" 15 (15): 321-340, 1996

    8 Inman, J. J., "The Roles of Channel-Category Associations and Geodemographics in Channel Patronage" 68 (68): 51-71, 2004

    9 Payine, A., "The Role of Multichannel Integration in Customer Relationship Management" 33 (33): 527-538, 2004

    10 Shankar, S., "The Relationship between Customer Satisfaction and Loyalty in Online and Offline Environments" 20 (20): 153-175, 2003

    11 Liu, Y., "The Long-Term Impact of Loyalty Programs on Consumer Purchase Behavior and Loyalty" 71 (71): 19-35, 2007

    12 Wright, A., "Technology as an Enabler of the Global Branding of Retail Financial Services" 10 (10): 83-98, 2002

    13 Ariely, D., "Taking Advice from Smart Agents: The Advice Likelihood Model" 2002

    14 Myers, J., "Steering Customers to the Right Channels" 2004

    15 Kumar, V., "Shoppers and How Do They Perform?: Correlates of Multichannel Shopping Behavior" 19 (19): 44-62, 2005

    16 Venkatesan, R., "Multichannel Shopping: Causes and Consequences" 71 (71): 114-132, 2007

    17 Kushwaha, T. L., "Multichannel Shopping Behavior: Antecedents and Implications for Channel and Customer Equity, Working Paper, Texas A&M University, College Station, TX 77845"

    18 The DMA, "Multichannel Marketing Report" The Direct Marketing Association 2005

    19 Verhoef, P. C., "Multichannel Customer Management: Understanding the Research-shopper Phenomenon" 24 (24): 129-148, 2007

    20 Stone, M., "Multichannel Customer Management: The Benefits and Challenges" 10 : 39-52, 2002

    21 Knox,G, "Modeling and Managing Customers in a Multichannel Setting, Working Paper, The Wharton School"

    22 Thomas, J. T., "Managing Marketing Communications with Multichannel Customers" 69 : 239-251, 2005

    23 Gonul, F., "Mailing Smarter to Catalog Customers" 14 (14): 2-16, 2000

    24 Neslin, S. A., "Key Issues in Multichannel Customer Management: Current Knowledge and Future Directions" 2007

    25 Jupiter Research, "Jupiter Research Internet Shopping Model" NY 2006

    26 Yates,S, "Integrating Financial Channels, The Forrester Report, August" Forrester Research Inc. 2001

    27 Bolton R. N., "Implications of Loyalty Program Membership and Service Experiences for Customer Retention and Value" 28 (28): 95-108, 2000

    28 Brynjolfsson, E., "Frictionless Commerce? Comparison of Internet and Conventional Retailers" 46 : 563-585, 2000

    29 Rust,R.T., "Driving Customer Equity: How Customer Lifetime Value is Reshaping Corporate Strategy" Free Press 2000

    30 Hitt, L. M., "Do Better Customers Utilize Electronic Distribution Channels?: The Case of PC Banking" 48 (48): 732-748, 2002

    31 Montoya-Weiss, M. M., "Determinants of Online Channel Use and Overall Satisfaction with a Relational Multichannel Service Provider" 31 (31): 448-458, 2003

    32 Wallace, D. W., "Customer Retailer Loyalty in the Context of Multiple Channel Strategies" 80 : 249-263, 2004

    33 Dick, A. S., "Customer Loyalty: Toward an Integrated Conceptual Approach" 22 (22): 99-113, 1994

    34 Srinivasan, S. S., "Customer Loyalty in E-commerce: An Exploration of its Antecedents and Consequences" 78 : 41-50, 2002

    35 CDI Institute, "Customer Data Integration: Market Review and Forecast for 2005-2006" CDI Institute. 2004

    36 Ansari, A., "Customer Channel Migration" 45 (45): 60-76, 2008

    37 Barasubramanian, S., "Consumers in a Multichannel Environment: Product Utility, Process Utility, and Channel Choice" 19 (19): 12-30, 2005

    38 Bloch, P. H., "Consumer Search: An Extended Framework" 13 (13): 119-126, 1986

    39 Neslin, S. A., "Challenges and Opportunities in Multichannel Customer Management" 9 (9): 95-112, 2006

    40 Hoyer, W. D., "An Examination of Consumer Decision Making for a Common Repeat Purchase Product" 11 (11): 822-829, 1984

    41 Berman, B., "A Guide to Developing and Managing a Well-Integrated Multi-Channel Retail Strategy" 32 (32): 147-156, 2004

    42 Danaher, P. J., "A Comparison of Online and Offline Consumer Brand Loyalty" 22 : 461-476, 2003

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