Using involvement for segmenting the adoption of e-commerce in travel

被引:20
作者
Moital, Miguel [1 ]
Vaughan, Roger [1 ]
Edwards, Jonathan [1 ]
机构
[1] Bournemouth Univ, Sch Serv Management, Poole BH12 5BB, Dorset, England
关键词
e-commerce; travel; segmentation; innovation interdependence; cluster analysis; Portugal; INFORMATION-TECHNOLOGY; INTERNET; ACCEPTANCE; COMPUTER; MOTIVATION; ATTITUDES; CONSUMERS; CONSTRUCT; TYPOLOGY; RETAIL;
D O I
10.1080/02642060902720253
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
While the adoption of e-commerce in the purchasing of leisure travel is gaining momentum, higher levels of adoption can be achieved if greater knowledge of the market for e-commerce is obtained. This research uses two variables, involvement with computers for leisure purposes and purchasing leisure travel over the Internet, as a means of segmenting the market with regard to the adoption of e-commerce in the purchasing of leisure travel. A sample of residents of a suburban borough of Lisbon (Portugal) was surveyed and hierarchical clustering was performed on 225 usable questionnaires. The four resulting clusters of residents that emerged were quite different from one another in relation to the adoption of e-commerce in the purchasing of leisure travel and in supporting the internal and external validity of the clustering procedure. One segment that has not been reported in the literature before was identified, comprising those who have moderate involvement with both innovations (the moderate enthusiasts). Moreover, the results suggest that individuals in this cluster may be stronger candidates for the adoption of e-commerce in the purchasing of leisure travel that computer fanatics.
引用
收藏
页码:723 / 739
页数:17
相关论文
共 67 条
  • [1] Are individual differences germane to the acceptance of new information technologies?
    Agarwal, R
    Prasad, J
    [J]. DECISION SCIENCES, 1999, 30 (02) : 361 - 391
  • [2] Ajzen I., 2005, Attitudes, personality and behavior, DOI DOI 10.1016/S0065-2601(08)60411-6
  • [3] Ajzen I., 1985, UNDERSTANDING ATTITU, P11, DOI DOI 10.1007/978-3-642-69746-3_2
  • [4] Aldlaigan A., 2001, INT J BANK MARK, V19, P232, DOI [10.1108/EUM0000000006022, DOI 10.1108/EUM0000000006022]
  • [5] ARIYAWARDANA A, 2003, SRI LANKAN J APPL ST, V4, P47
  • [6] Beharrall B., 1995, British Food Journal, V97, P24, DOI 10.1108/00070709510104312
  • [7] The construct of food involvement in behavioral research: scale development and validation
    Bell, R
    Marshall, DW
    [J]. APPETITE, 2003, 40 (03) : 235 - 244
  • [8] Predictors of online buying behavior
    Bellman, S
    Lohse, GL
    Johnson, EJ
    [J]. COMMUNICATIONS OF THE ACM, 1999, 42 (12) : 32 - 38
  • [9] Segmenting consumers based on the benefits and risks of Internet shopping
    Bhatnagar, A
    Ghose, S
    [J]. JOURNAL OF BUSINESS RESEARCH, 2004, 57 (12) : 1352 - 1360
  • [10] A latent class segmentation analysis of e-shoppers
    Bhatnagar, A
    Ghose, S
    [J]. JOURNAL OF BUSINESS RESEARCH, 2004, 57 (07) : 758 - 767