As a singularly important tourism group, women have unique perceptions and preferences, regarding the travel-information platforms that influence their tourism decisions. Based on the societal-development capital, technology acceptance and societal psychology constructs, this article proposes and empirically assesses an innovative research framework, in the tipping-points context. The empirical study discloses important effects by the pivotal virtual community, informational and environmental factors in China. The results show that collegial group centrality has a positive effect on participative behavior, while the latter, along with perceived usefulness and imitation of others, have positive effects on usage behavior. Besides, gender plays a moderating role in the relation between collegial group centrality and imitation of others-usage behavior. Despite the study’s limitations, these empirical results enable future researches to conduct comprehensive, dynamic studies of women tourists in the virtual tourism communities. And accurate perceptions of personalized needs of specific groups of tourists can substantially benefit travel application or ‘app’ operators.
GeorgantzasNC, ZarifopoulouV. Politeia in person: A civic Eros cookbook for human beings’ economic prosperity. Saarbrücken, Deutschland/Germany: LAP LAMBERT Academic Publishing, 2017; https://tinyurl.com/ybgm823y and https://tinyurl.com/k83yxfg.
2.
WangD, ParkS, FesenmaierDR. The role of smartphones in mediating the touristic experience. Journal of Travel Research. 2012;51(4):371–87.
3.
NeilC. An exploratory study of gendered differences in young tourists perception of danger within London. Tourism Management. 2001;22(5):565–70.
4.
FrewEA, ShawRN. The relationship between personality, gender, and tourism behavior. Tourism Management. 1999;20(2):193–202.
5.
KinnairdVH, HallD. Tourism: A gender analysis. West Sussex: Wiley, (1994).
6.
KimSS, ChoongkiL, KlenoskyDB. The influence of push and pull factors at Korean national parks. Tourism Management. 2003;24(2):169–80.
7.
HendersonKA, BialeschkiMD. A sense of entitlement to leisure as constraint and empowerment for women. Leisure Science. 1991;13(1):51–65.
8.
KimSoyoung, etc. Predicting souvenirs purchase intentions. Journal of Travel Research. 2001;28(3):638–57.
9.
JeffreysSheila. Sex tourism: Do women do it too?Leisure Studies2003;22(3):223–38.
10.
CihanC. Analysis of business travelers’ hotel selection and satisfaction. Oklahoma State University, (2001).
11.
EricaCW. The impact of constraints on women’ s solo travel. Griffith University, (2004).
12.
LittrellMA, PaigeRC, SongK. Senior travellers: Tourism activities and shopping behaviours. Journal of Vacation Marketing. 2004;10(4):348–62.
13.
SachikoT. Overseas pleasure travel motivations of older alumnae of a Japanese women’ s university. University of Wisconsin-Stout: Japan, (2002).
14.
ChangHH, ChuangSS. Social capital and individual motivations on knowledge sharing: Participant involvement as a moderator. Information & Management. 2011;48(1):9–18.
15.
SeayA. The tipping point: How little things can make a difference. Little, Brown and Company, Malcolm, Gladwell, eds. Injury Prevention. 2003;9(3):286.
16.
WangY, YuQ, FesenmaierDR. Defining the virtual tourist community: Implications for tourism marketing. Tourism Management. 2002;23(4):407–17.
17.
CarinaPS. On interpersonal competence, in
CarterKathryn,
PresnellMike. Interpretive approaches to interpersonal communication. ed., State University of New York Press, (1994). pp. 137.
18.
Van-EckPS, JagerW, LeeflangPSH. Opinion leaders’ role in innovation diffusion: A simulation study. Journal of Product Innovation Management. 2011;28(2):187–203.
19.
ValenteTW, DavisRL. Accelerating the diffusion of innovations using opinion leaders. The ANNALS of the American Academy of Political and Social Science. 1999;566(1):55–67.
20.
ZelenyM. High technology management. Human Systems Management. 1986;6(2):109–20.
21.
HoVT, WongSS, LeeCH. A tale of passion: Linking job passion and cognitive engagement to employee work performance. Journal of Management Studies. 2011;48(1):26–47.
22.
VillanuevaJ, YooS, HanssensDM. The impact of marketing-induced versus word-of-mouth consumer acquisition on consumer equity growth. Journal of Marketing Research. 2013;45(1):48–59.
23.
HuffakerD. Dimensions of leadership and social influence in online communities. Human Communication Research. 2010;36(4):593–617.
24.
NahapietJ, GhoshalS. Social capital, intellectual capital, and the organizational advantage. Academy of Management Journal. 1998;23(2):242–66.
25.
KimDY, ParkJ, MorrisonAM. A model of traveler acceptance of mobile technology. International Journal of Tourism Research. 2008;10(5):393–407.
26.
TussyadiahIP, ZachFJ. The role of geo-based technology in place experiences. Annals of Tourism Research. 2012;39(2):780–800.
27.
DavisFD. Perceived usefulness perceived ease of use and user acceptance of information technology. MIS Quarterly. 1989;13(3):319–40.
28.
WaldenEA, BrowneGJ. Sequential adoption theory: A theory for understanding herding behavior in early adoption of novel technologies. Journal of the Association for Information Systems. 2009;10(1):31–62.
29.
SunH. A longitudinal study of herd behavior in the adoption and continued use of technology. Mis Quarterly. 2013;37(4):1013–41.
30.
JarvenpaaSL, ShawTR, StaplesDS. Toward contextualized theories of trust: The role of trust in global virtual teams. Information Systems Research. 2004;15(3):250–67.
31.
DholakiaUM, BagozziRP, PearoLK. A social influence model of consumer participation in network- and small-group-based virtual communities. International Journal of Research in Marketing. 2004;21(3):241–63.
32.
WangD, XiangZ, FesenmaierDR. Adapting to the mobile world: A model of smartphone use. Annals of Tourism Research. 2014;48:11–26.
33.
ClevelandM, BabinBJ, LarocheM, et al. Information search patterns for gift purchases: A cross-national examination of gender differences. Journal of Consumer Behaviour. 2003;3(1):20–47.
34.
LarocheM, SaadG, ClevelandM, BrowneE. Gender differences in information search strategies for a Christmas gift. The Journal of Consumer Marketing. 2000;17(6):500–22.
35.
McClellandDC. Power: The inner experience. New York: Irving, (1975).
36.
TsaiW, GhoshalS. Social capital and value creation: An empirical study of intrafirm networks. Academy of Management Journal. 1998;41(4):464–76.
37.
WassermanS, FaustK. Sociai network snalysis: Methods and applications. Cambridge: Cambridge University Press, (1994).
38.
MalhotraY, GallettaDF. Extending the technology acceptance model to account for social influence: Theoretical bases and empirical validation. Hawaii International Conference on System Sciences. 1999;1006.
39.
LinkMW, MokdadA. Advance letters as a means of improving respondent cooperation in random digit dial studies: A multistate experiment. Public Opinion Quarterly. 2005;69(4):572–87.
40.
AikenLS, WestSG. Multiple regression: Testing and interpreting interactions - Institute for Social and Economic Research (ISER). Evaluation Practice. 1991;14(2):167–8.
41.
MullerD, JuddCM, YzerbytVY. When moderation is mediated and mediation is moderated. Journal of Personality and Social Psychology. 2005;89(6):852–63.
RezaJM, SamieiN. The impact of electronic word of mouth on a tourism destination choice: Testing the Theory of Planned Behavior(TPB). Internet Research. 2012;22(5):591–612.
44.
KaplanA, HaenleinM. Users of the world, unite! The challenges and opportunities of social media. Business Horizons. 2010;53(1):59–68.
45.
Meyers-LevyJ. Influence of sex roles on judgment. Journal of Consumer Research. 1988;14:522–30.
46.
ChiuCM, HsuMH, WangETG. Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decision Support Systems. 2006;42(3):1872–88.
47.
Hennig-thurauT, GwinnerKP, WalshG, et al. Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet. Journal of Interactive Marketing. 2004;18(11):38–52.
48.
HuangHS, LarbaniM, YuP. Quantification and applications of identification spheres. Human Systems Management. 2012;31(2):97–109.
49.
WelbourneJL, BlanchardAL, WadsworthMB. Motivations in virtual health communities and their relationship to community, connectedness and stress. Computers in Human Behavior. 2013;29(1):129–39.
50.
LenneyE, GoldJ, BrowningC. Sex differences in self-confidence: The influence of comparison to others’ ability level. Sex Roles. 1983;9(9):925–42.
51.
HiltzRS, JohnsonK. User satisfaction with computer-mediated communication systems. Management Science. 1990;36(6):739–51.
52.
HsuL-L, ChenS-J, ChiuM-C, Chen JasonCH. Determinants of successful online transactions-effects of transaction assurance seal and reputation rating affecting trust and purchase intention of consumers. Human Systems Management. 2015;34(2):105–18.
