GOSIP in Cyberspace: Conceptualization and Scale Development for General Online Social Interaction Propensity

被引：58
作者：
Blazevic, Vera [1 ,2 ]
Wiertz, Caroline [3 ]
Cotte, June [4 ]
de Ruyter, Ko [5 ]
Keeling, Debbie Isobel [6 ]
机构：
[1] Radboud Univ Nijmegen, Inst Management Res, Dept Mkt, NL-6500 HK Nijmegen, Netherlands
[2] Rhein Westfal TH Aachen, Sch Business & Econ, Technol & Innovat Management Grp, D-52072 Aachen, Germany
[3] City Univ London, Cass Business Sch, London EC1Y 8TZ, England
[4] Univ Western Ontario, Ivey Business Sch, London, ON N6A 3K7, Canada
[5] Maastricht Univ, Fac Econ & Business Adm, Dept Mkt, NL-6200 MD Maastricht, Netherlands
[6] Univ Loughborough, Sch Business & Econ, Loughborough LE11 3TU, Leics, England
来源：
JOURNAL OF INTERACTIVE MARKETING | 2014年 / 28卷 / 02期
关键词：
Scale development; General online social interaction propensity; Individual difference; Social media; WORK ENGAGEMENT; PERSONALITY; BEHAVIOR; COMMUNICATION; PERFORMANCE; INVENTORY; SITUATION; COMMUNITY; INTERNET; LURKING;
D O I：
10.1016/j.intmar.2013.09.003
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
The interactive nature of the Internet has boosted online communication for both social and business purposes. However, individual consumers differ in their predisposition to interact online with others. Whereas an impressive stream of research has investigated media interactivity, the existence of individual differences in the use of different online media, that is, differences in general online social interaction propensity, has so far received less research attention. An individual's predisposition to interact online affects many important consumer behaviors, such as online engagement and participation. Thus, in this paper, we propose and conceptualize general online social interaction propensity as a trait-based individual difference that captures the differences between consumers in their predisposition to interact with others in an online environment. Based on eight studies, we develop and validate a scale for measuring general online social interaction propensity and demonstrate its usefulness in understanding diversity in levels of engagement and in predicting online interaction behaviors. (C) 2013 Direct Marketing Educational Foundation, Inc., dba Marketing EDGE. Published by Elsevier.
引用
收藏
页码：87 / 100
页数：14
相关论文
共 76 条
  • [1] The social influence of brand community: Evidence from European car clubs
    Algesheimer, R
    Dholakia, UM
    Herrmann, A
    [J]. JOURNAL OF MARKETING, 2005, 69 (03) : 19 - 34
  • [2] On the Internet no one knows I'm an introvert: Extroversion, neuroticism, and Internet interaction
    Amichai-Hamburger, Y
    Wainapel, G
    Fox, S
    [J]. CYBERPSYCHOLOGY & BEHAVIOR, 2002, 5 (02): : 125 - 128
  • [3] STRUCTURAL EQUATION MODELING IN PRACTICE - A REVIEW AND RECOMMENDED 2-STEP APPROACH
    ANDERSON, JC
    GERBING, DW
    [J]. PSYCHOLOGICAL BULLETIN, 1988, 103 (03) : 411 - 423
  • [4] [Anonymous], 2006, MULTIVARIATE DATA AN
  • [5] Controlling the information flow: Effects on consumers' decision making and preferences
    Ariely, D
    [J]. JOURNAL OF CONSUMER RESEARCH, 2000, 27 (02) : 233 - 248
  • [6] On the concept of intentional social action in consumer behavior
    Bagozzi, RP
    [J]. JOURNAL OF CONSUMER RESEARCH, 2000, 27 (03) : 388 - 396
  • [7] TRYING TO CONSUME
    BAGOZZI, RP
    WARSHAW, PR
    [J]. JOURNAL OF CONSUMER RESEARCH, 1990, 17 (02) : 127 - 140
  • [8] Ballantyne D., 2006, MARKETING THEOR, V6, P335, DOI DOI 10.1177/1470593106066795
  • [9] Calder B.J., 2008, Kellogg on Advertising and Media, P1, DOI [DOI 10.1002/9781119198154.CH1, 10.1002/9781119198154.ch1]
  • [10] An Experimental Study of the Relationship between Online Engagement and Advertising Effectiveness
    Calder, Bobby J.
    Malthouse, Edward C.
    Schaedel, Ute
    [J]. JOURNAL OF INTERACTIVE MARKETING, 2009, 23 (04) : 321 - 331
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