Webrooming and showrooming: a multi-stage consumer decision process

被引:16
|
作者
Mukherjee, Srabanti [1 ]
Chatterjee, Swagato [1 ]
机构
[1] Indian Inst Technol Kharagpur, Vinod Gupta Sch Management, Kharagpur, W Bengal, India
关键词
Showrooming; Webrooming; Channel choice; Purchase decision-making; MULTICHANNEL ENVIRONMENT; PRODUCT PRESENTATION; SERVICE PROVIDERS; PRIOR KNOWLEDGE; ONLINE; CHANNEL; INFORMATION; PURCHASE; BEHAVIOR; EXPERIENCE;
D O I
10.1108/MIP-08-2020-0351
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose The purpose of this research is to propose and validate a theoretical framework explaining web-rooming and showrooming as a multi-stage decision-making process. The authors have used consumer purchase decision-making theories to propose a model that identifies showrooming and webrooming as a combination of two decisions, channel choice during information search and channel choice during actual purchase. Further, the authors explored how various antecedents of showrooming and webrooming have differential effects on various stages of a purchase decision-making process and how product type moderates the relationships. Design/methodology/approach The authors have conducted empirical research, whereby 243 responses were obtained from a cross-sectional survey. The authors have used structural equation modeling and multiple regression analysis to validate our theoretical model. Findings Webrooming or showrooming is a multi-stage decision-making process for the consumers. First, consumers decide whether to search online or offline and then whether to buy online and offline. Different individual, purchase context-related and channel related factors impact these decisions. Product type governs which variables will be more important than others. Originality/value The research looks to enhance the understanding of the consumer's decision-making process during showrooming and webrooming while also helping retailers design and implement appropriate strategies that could affect consumers during information search and actual purchase.
引用
收藏
页码:649 / 669
页数:21
相关论文
共 50 条
  • [1] CONSUMER SHOPPING MOTIVE IDENTIFICATION: STUDY OF WEBROOMING VS. SHOWROOMING
    Olearova, Maria
    Gavurova, Beata
    Bacik, Radovan
    [J]. MARKETING AND MANAGEMENT OF INNOVATIONS, 2022, (02): : 231 - 243
  • [2] DIFFERENCES BETWEEN WEBROOMING AND SHOWROOMING IN TERMS OF SELECTED CONSUMER PERCEPTION FACTORS
    Olearova, Maria
    Gavurova, Beata
    Bacik, Radovan
    Pavlinska, Katarina
    [J]. ENTREPRENEURSHIP AND SUSTAINABILITY ISSUES, 2022, 10 (01): : 378 - 394
  • [3] Research on Multi-Stage Inventory Model by Markov Decision Process
    Rong, Ke
    [J]. 2012 INTERNATIONAL CONFERENCE ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING (ICMPBE2012), 2012, 33 : 1074 - 1077
  • [4] Research on Multi-Stage Inventory Model by Markov Decision Process
    Ke, Rong
    [J]. 2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL IV, 2010, : 590 - 592
  • [5] A MULTI-STAGE RENEWAL PROCESS
    BARTHOLOMEW, DJ
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1963, 25 (01) : 150 - 168
  • [6] Job choice model to measure behavior in a multi-stage decision process
    Spengler, T
    Malmendier, J
    [J]. FROM DATA AND INFORMATION ANALYSIS TO KNOWLEDGE ENGINEERING, 2006, : 582 - +
  • [7] Induction of multi-stage decision tree
    Jianbing Huo
    Xizhao Wang
    Mingzhu Lu
    Junfen Chen
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS, 2006, : 835 - +
  • [8] The multi-stage dynamic stochastic decision process with unknown distribution of the random utilities
    Tadei, Roberto
    Perboli, Guido
    Manerba, Daniele
    [J]. OPTIMIZATION LETTERS, 2020, 14 (05) : 1207 - 1218
  • [9] The multi-stage dynamic stochastic decision process with unknown distribution of the random utilities
    Roberto Tadei
    Guido Perboli
    Daniele Manerba
    [J]. Optimization Letters, 2020, 14 : 1207 - 1218
  • [10] Algorithmic Aspects of Scenario-Based Multi-stage Decision Process Optimization
    Hochreiter, Ronald
    [J]. ALGORITHMIC DECISION THEORY, PROCEEDINGS, 2009, 5783 : 365 - 376