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      KCI등재

      The Mediating Effect of Delivery Big Data Service Expectations on the Relationship between Perceived Mobile Usability and Smart Delivery Use Intention

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      https://www.riss.kr/link?id=A103731295

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      다국어 초록 (Multilingual Abstract)

      The purpose of this study was to verify the relationship among perceived mobile usability,delivery Big Data service expectations and smart delivery use intention. In the process, the major concern was to analyze the mediating effects of delivery Big D...

      The purpose of this study was to verify the relationship among perceived mobile usability,delivery Big Data service expectations and smart delivery use intention. In the process, the major concern was to analyze the mediating effects of delivery Big Data service expectations. For this purpose, the perceived mobile usability were divided three variables into smartphone usability, SNS usability and mobile shopping usability. The main findings can be explained in four viewpoints.
      First, the SNS usability affects on the smart delivery use intention. This means that if the SNS usability is reinforced, the consumers use intention to smart delivery are strengthened. Second, the mobile shopping usability affects on the smart delivery use intention. This suggests the smart delivery services can be used to increase the mobile shopping services quality. Third, the delivery Big Data service expectations affects on the smart delivery use intention. This means the firms can increase the level of smart delivery services quality by leveraging Big Data technologies. Fourth,when the mobile shopping usability affects on the smart delivery use intention, the delivery Big Data service expectations has a mediating role on the relationship. The means can be interpreted that the firms can enhance ultimately the usability of mobile shopping services quality by using Big Data technologies. The results of this study as an initial research related to smart delivery can be applied to practical implications and there are important at that point.

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      다국어 초록 (Multilingual Abstract)

      The purpose of this study was to verify the relationship among perceived mobile usability,delivery Big Data service expectations and smart delivery use intention. In the process, the major concern was to analyze the mediating effects of delivery Big D...

      The purpose of this study was to verify the relationship among perceived mobile usability,delivery Big Data service expectations and smart delivery use intention. In the process, the major concern was to analyze the mediating effects of delivery Big Data service expectations. For this purpose, the perceived mobile usability were divided three variables into smartphone usability, SNS usability and mobile shopping usability. The main findings can be explained in four viewpoints.
      First, the SNS usability affects on the smart delivery use intention. This means that if the SNS usability is reinforced, the consumers use intention to smart delivery are strengthened. Second, the mobile shopping usability affects on the smart delivery use intention. This suggests the smart delivery services can be used to increase the mobile shopping services quality. Third, the delivery Big Data service expectations affects on the smart delivery use intention. This means the firms can increase the level of smart delivery services quality by leveraging Big Data technologies. Fourth,when the mobile shopping usability affects on the smart delivery use intention, the delivery Big Data service expectations has a mediating role on the relationship. The means can be interpreted that the firms can enhance ultimately the usability of mobile shopping services quality by using Big Data technologies. The results of this study as an initial research related to smart delivery can be applied to practical implications and there are important at that point.

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      참고문헌 (Reference)

      1 Halper, F., "What is Big Data?"

      2 Venkatesh, V., "User Acceptance of Information Technology : Toward a Unified View" 27 (27): 425-478, 2003

      3 Davis, F. D., "User Acceptance of Computer Technology : A Comparison of Two Theoretical Models" 35 (35): 982-1003, 1989

      4 Baron, R.M, "The moderator-mediator variable distinction in social psychological research : conceptual, strategic, and statistical considerations" 51 (51): 1173-1182, 1986

      5 Bertel, T.F., "The Use of the Internet on the Mobile Phone among Young Danes"

      6 Friedrich, R, "The Rise of Mobile Marketing New Opportunities for Consumer, Companies and Mobile Operators"

      7 Jackson, J., "The Big Promise of Big Data"

      8 Zeithaml, V. A., "The Behavorial Consequences of Service Quality" 67 (67): 31-46, 1996

      9 Boyd, D.M, "Social network sites : Definition, history, and scholarship" 13 : 210-230, 2007

      10 Zeithaml, V. A., "Service Quality Delivery through Web Sites: A Critical Review of Extant Knowledge" 30 (30): 362-375, 2002

      1 Halper, F., "What is Big Data?"

      2 Venkatesh, V., "User Acceptance of Information Technology : Toward a Unified View" 27 (27): 425-478, 2003

      3 Davis, F. D., "User Acceptance of Computer Technology : A Comparison of Two Theoretical Models" 35 (35): 982-1003, 1989

      4 Baron, R.M, "The moderator-mediator variable distinction in social psychological research : conceptual, strategic, and statistical considerations" 51 (51): 1173-1182, 1986

      5 Bertel, T.F., "The Use of the Internet on the Mobile Phone among Young Danes"

      6 Friedrich, R, "The Rise of Mobile Marketing New Opportunities for Consumer, Companies and Mobile Operators"

      7 Jackson, J., "The Big Promise of Big Data"

      8 Zeithaml, V. A., "The Behavorial Consequences of Service Quality" 67 (67): 31-46, 1996

      9 Boyd, D.M, "Social network sites : Definition, history, and scholarship" 13 : 210-230, 2007

      10 Zeithaml, V. A., "Service Quality Delivery through Web Sites: A Critical Review of Extant Knowledge" 30 (30): 362-375, 2002

      11 Zaichkowsky, J. L, "Research notes: the personal involvement inventory: reduction, revision, and application to advertising" 23 (23): 59-70, 1994

      12 Minocha, S., "Providing value to customers in e-commerce environments : The customer’s perspective"

      13 Davis, F. D., "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology" 13 (13): 319-339, 1989

      14 Chin, W., "On the Use, Usefulness, and Ease of Use of Structural Equation Modeling in MIS Research:A Note of Caution" 19 (19): 237-246, 1995

      15 Forkert, S., "Innovative Approaches in City Logistics : Alternative Solutions for Home Delivery"

      16 IBM, "IBM and Oxford Survey: Getting Closer to Customers Tops Big Data Agenda"

      17 Axida White Paper, "Home delivery: Delivering your brand values right to your customer’s door"

      18 InMobi White Paper, "Global Mobile Media Consumption"

      19 Bennett, J. A., "Focus on Research Methods Mediator and Moderator Variables in Nursing Research : Conceptual and Statistical Differences" 23 : 415-420, 2000

      20 Hsu, C.L, "Exploring Logistics Services Quality in Home Delivery Industry : Do Service Providers and Customers Have Different Viewpoints?" 18 (18): 439-454, 2011

      21 Beilinson, J., "Enhancing Customer Perceived Value in Home Deliveries - Case: Customer Company X, School of Business Aalto University"

      22 Okholm, H.B., "E-commerce and delivery"

      23 Venkatesh, V., "Determinants of Perceived ease of Use:Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model" 11 (11): 342-365, 2000

      24 Manyika, J., "Big Data: The next frontier for innovation, competition, and productivity" McKinsey Global Institute 2011

      25 Fishbein, M., "Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research Reading" Addison-Wesley 1975

      26 Cohen, J., "Applied multiple regression/correlation analyses for the behavioral sciences" Lawrence Erlbaum 1983

      27 Pittman, D., "Analytics: The Real-world Use of Big Data"

      28 Jothi, P. S., "Analysis of social networking sites : A study on effective communication strategy in developing brand communication" 3 (3): 234-242, 2011

      29 Kofod, P. A., "An empirical investigation of attitude towards location-aware social network service" 8 (8): 53-70, 2010

      30 Fu, J. R., "Acceptance of Electronic Tax Filing : A Study of. Taxpayer Intentions" 43 (43): 109-126, 2006

      31 Spreng, R. A., "A Re-Examination of the Determinants of Consumer Satisfaction" 60 (60): 15-32, 1996

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2015-02-10 학술지명변경 외국어명 : Korea Research Academy of Distribution and Management Review -> Journal of Distribution and Management Research KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-03-16 학술지명변경 한글명 : 유통정보학회지 -> 유통경영학회지
      외국어명 : Korea Research Academy of Distribution Information Review -> Korea Research Academy of Distribution and Management Review
      KCI등재
      2010-02-04 학회명변경 한글명 : 한국유통정보학회 -> 한국유통경영학회
      영문명 : 미등록 -> Korea Research Academy of Distribution and Management
      KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2006-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.79 0.79 0.99
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.93 0.92 1.252 0.23
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