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The impact of online brand community characteristics on customer engagement: An application of Stimulus-Organism-Response paradigm

Ul Islam, Jamid, Rahman, Zillur·2017·Telematics and Informatics
DOI 10.1016/j.tele.2017.01.004
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Research works printed but not linked: 95

  1. Ahn, 2007, The impact of Web quality and playfulness on user acceptance of online retailing, Inf. Manage., 44, 263
  2. Baldus, 2015, Online brand community engagement: scale development and validation, J. Bus. Res., 68, 978, 10.1016/j.jbusres.2014.09.035 · DOI · Paper page
  3. Barreda, 2015, Generating brand awareness in online social networks, Comput. Hum. Behav., 50, 600, 10.1016/j.chb.2015.03.023 · DOI · Paper page
  4. Barry, 1957, A cross-cultural survey of some sex differences in socialization, J. Abnorm. Soc. Psychol., 55, 327, 10.1037/h0041178 · DOI · Paper page
  5. Bolton, 2013, Understanding generation Y and their use of social media: a reviewand research agenda, J. Serv. Manage., 24, 245, 10.1108/09564231311326987 · DOI · Paper page
  6. Braun, 2016, Differentiating customer engaging behavior by targeted benefits–an empirical study, J. Consum. Marketing, 33, 528, 10.1108/JCM-02-2016-1711 · DOI
  7. Brodie, 2013, Customer engagement in a virtual brand community: an exploratory analysis, J. Bus. Res., 66, 104, 10.1016/j.jbusres.2011.07.029 · DOI · Paper page
  8. Browne, 1993, vol. 154
  9. Calefato, 2015, The role of social media in affective trust building in customer–supplier relationships, Electron. Commerce Res., 15, 453, 10.1007/s10660-015-9194-3 · DOI
  10. Cambra-Fierro, 2015, Can complaint-handling efforts promote customer engagement?, Serv. Bus., 1
  11. Cao, 2005, B2C e-commerce web site quality: an empirical examination, Ind. Manage. Data Sys., 105, 645, 10.1108/02635570510600000 · DOI · Paper page
  12. Chang, 2006, The influence of masculinity and femininity in different advertising processing contexts: an accessibility perspective, Sex Roles, 55, 345, 10.1007/s11199-006-9088-x · DOI
  13. Chen, 2010, Web-based interaction: a review of three important human factors, Int. J. Inf. Manage., 30, 379
  14. Cova, 1997, Community and consumption, Eur. J. Mark., 31, 297, 10.1108/03090569710162380 · DOI · Paper page
  15. Das, 2014, Impacts of retail brand personality and self-congruity on store loyalty: the moderating role of gender, J. Retailing Consum. Serv., 21, 130, 10.1016/j.jretconser.2013.07.011 · DOI
  16. De Valck, 2009, Virtual communities: A marketing perspective, Decis. Support Syst., 47, 185, 10.1016/j.dss.2009.02.008 · DOI · Paper page
  17. Dessart, 2015, Consumer engagement in online brand communities: a social media perspective, J. Prod. Brand Manage., 24, 28, 10.1108/JPBM-06-2014-0635 · DOI · Paper page
  18. Dholakia, 2009, Communal service delivery how customers benefit from participation in firm-hosted virtual P3 communities, J. Serv. Res., 12, 208, 10.1177/1094670509338618 · DOI
  19. Dholakia, 2004, A social influence model of consumer participation in network- and small-group-based virtual communities, Int. J. Res. Mark., 21, 241, 10.1016/j.ijresmar.2003.12.004 · DOI · Paper page
  20. Di Pietro, 2012, Social network for the choice of tourist destination: attitude and behavioral intention, J. Hospitality Tourism Technol., 3, 60, 10.1108/17579881211206543 · DOI
  21. Donovan, 1982, Store atmosphere: an environmental psychology approach, J. Retail., 58, 34
  22. Duncan, 1998, A communication-based marketing model for managing relationships, J. Marketing, 62, 1, 10.1177/002224299806200201 · DOI · Paper page
  23. Dwivedi, 2015, A higher-order model of consumer brand engagement and its impact on loyalty intentions, J. Retailing Consum. Serv., 24, 100, 10.1016/j.jretconser.2015.02.007 · DOI · Paper page
  24. Eroglu, 2001, Atmospheric qualities of online retailing: a conceptual model and implications, J. Bus. Res., 54, 177, 10.1016/S0148-2963(99)00087-9 · DOI · Paper page
  25. Eroglu, 2003, Empirical testing of a model of online store atmospherics and shopper responses, Psychol. Marketing, 20, 139, 10.1002/mar.10064 · DOI · Paper page
  26. Fuller, 2010, Refining virtual co-creation from a consumer perspective, California Manage. Rev., 52, 98, 10.1525/cmr.2010.52.2.98 · DOI · Paper page
  27. Ghasemaghaei, 2015, Online information quality and consumer satisfaction: the moderating roles of contextual factors-A meta-analysis, Inf. Manage., 52, 965
  28. Gorla, 2010, Organizational impact of system quality, information quality, and service quality, J. Strateg. Inf. Syst., 19, 207, 10.1016/j.jsis.2010.05.001 · DOI · Paper page
  29. Gould, 1991, Gift-giving roles and gender self-concepts, Sex Roles, 24, 617, 10.1007/BF00288418 · DOI
  30. Gu, 2007, Competition among virtual communities and user valuation: the case of investing-related communities, Inf. Sys. Res., 18, 68, 10.1287/isre.1070.0114 · DOI
  31. Gummerus, 2012, Consumer engagement in a facebook brand community, Manage. Res. Rev., 35, 857, 10.1108/01409171211256578 · DOI · Paper page
  32. Habibi, 2014, The roles of brand community and community engagement in building brand trust on social media, Comput. Hum. Behav., 37, 152, 10.1016/j.chb.2014.04.016 · DOI · Paper page
  33. Hammedi, 2015, Online customer engagement: creating social environments through brand community constellations, J. Serv. Manage., 26, 777, 10.1108/JOSM-11-2014-0295 · DOI
  34. Ho, 2015, Are blogs still effective to maintain customer relationships? An empirical study on the travel industry, J. Hospitality Tourism Technol., 6, 5, 10.1108/JHTT-01-2015-0005 · DOI
  35. Hollebeek, 2011, Demystifying customer engagement: exploring the loyalty nexus, J. Marketing Manage., 27, 785
  36. Hollebeek, 2011, Exploring customer brand engagement: definition and themes, J. Strategic Marketing, 19, 555, 10.1080/0965254X.2011.599493 · DOI · Paper page
  37. Hung, 2015, A moderated mediation model of consumers’ role behaviors in brand communities, Asia Pacific Manage. Rev., 20, 191, 10.1016/j.apmrv.2014.12.014 · DOI
  38. Islam, 2016, Examining the effects of brand love and brand image on customer engagement: an empirical study of fashion apparel brands, J. Global Fashion Marketing, 7, 45, 10.1080/20932685.2015.1110041 · DOI
  39. Islam, 2016, Linking customer engagement to trust and word of mouth on Facebook brand communities: an empirical study, J. Internet Commerce, 15, 40, 10.1080/15332861.2015.1124008 · DOI
  40. Islam, 2016, The transpiring journey of customer engagement research in marketing: a systematic review of the past decade, Manage. Decis., 54, 2008, 10.1108/MD-01-2016-0028 · DOI
  41. Jang, 2008, The influence of on-line brand community characteristics on community commitment and brand loyalty, Int. J. Electron. Commer., 12, 57, 10.2753/JEC1086-4415120304 · DOI · Paper page
  42. Joreskog, K.G., Sorborm, D., 1989. ‘LISREL-7 user’s reference guide Mooresville: Scientific Software’, available at: nt.org/pubs/Proceedings/confproceedingsdetail.cfm?& ItemNumber=5191 (accessed in June, 2016).
  43. Kahle, 1985, Androgyny and midday mastication: do real men eat quiche?, Adv. Consum. Res., 12, 242
  44. Kang, 2016, The role of personalization, engagement, and trust in online communities, Inf. Technol. People, 29, 580, 10.1108/ITP-01-2015-0023 · DOI
  45. Khare, 2011, Antecedents of online shopping behavior in India: an examination, J. Internet Commer., 10, 227, 10.1080/15332861.2011.622691 · DOI
  46. Kolyesnikova, 2009, Gender as a moderator of reciprocal consumer behavior, J. Consum. Marketing, 26, 200, 10.1108/07363760910954136 · DOI
  47. Ladhari, 2013, Building loyalty with online financial services customers: is there a gender difference?, J. Retailing Consum. Serv., 20, 560, 10.1016/j.jretconser.2013.07.005 · DOI
  48. Lambe, 2001, Social exchange theory and research on business-to-business relational exchange, J. Business-to-Business Marketing, 8, 1, 10.1300/J033v08n03_01 · DOI · Paper page
  49. Lim, 2010, Gender differences in information behavior concerning Wikipedia, an unorthodox information source, Libr. Inf. Sci. Res., 32, 212, 10.1016/j.lisr.2010.01.003 · DOI
  50. Liu, 2017, Gender differences in information quality of virtual communities: a study from an expectation-perception perspective, Personality Individ. Differ., 104, 224, 10.1016/j.paid.2016.08.011 · DOI
  51. Loureiro, S., Ribeiro, L., 2011. The effect of atmosphere on emotions and online shopping intention: Age differentiation. In: Australian and New Zealand Marketing Academy Conference, Perth, Australia.
  52. Lu, 2010, Demographic differences and the antecedents of blog stickiness, Online Inf. Rev., 34, 21, 10.1108/14684521011024100 · DOI
  53. Madhavaram, 2005, Integrated marketing communication (IMC) and brand identity as critical components of brand equity strategy: a conceptual framework and research propositions, J. Advertising, 34, 69, 10.1080/00913367.2005.10639213 · DOI · Paper page
  54. Manchanda, 2015, Social dollars: the economic impact of customer participation in a firm-sponsored online customer community, Marketing Sci., 34, 367, 10.1287/mksc.2014.0890 · DOI · Paper page
  55. Mason, 1996, Gender and ethical orientation: a test of gender and occupational socialization theories, J. Bus. Ethics, 15, 599, 10.1007/BF00411793 · DOI · Paper page
  56. McKinney, 2002, The measurement of web-customer satisfaction: an expectation and disconfirmation approach, Inf. Syst. Res., 13, 296, 10.1287/isre.13.3.296.76 · DOI · Paper page
  57. McKnight, 2004, Dispositional trust and distrust distinctions in predicting high-and low-risk internet expert advice site perceptions, e-Service J., 3, 35, 10.2979/esj.2004.3.2.35 · DOI · Paper page
  58. Merrilees, 2003, E-trust: the influence of perceived interactivity on e-retailing users, Marketing Intell. Plann., 21, 123, 10.1108/02634500310465461 · DOI
  59. Mollen, 2010, Engagement, telepresence and interactivity in online consumer experience: reconciling scholastic and managerial perspectives, J. Bus. Res., 63, 919, 10.1016/j.jbusres.2009.05.014 · DOI · Paper page
  60. Nadeem, 2015, Engaging consumers online through websites and social media: a gender study of Italian generation Y clothing consumers, Int. J. Inf. Manage., 35, 432
  61. Newman, 2012, Organizational rewards and employee commitment: a Chinese study, J. Manage. Psychol., 27, 71, 10.1108/02683941211193866 · DOI
  62. Oliver, 1999, Whence consumer loyalty?, J. Marketing, 63, 33, 10.1177/00222429990634s105 · DOI · Paper page
  63. Olney, 1991, Consumer responses to advertising: the effects of ad content, emotions, and attitude toward the ad on viewing time, J. Consum. Res., 17, 440, 10.1086/208569 · DOI · Paper page
  64. Ou, 2010, Consumer trust and distrust: an issue of website design, Int. J. Hum Comput Stud., 68, 913, 10.1016/j.ijhcs.2010.08.003 · DOI · Paper page
  65. Palan, 2001, Gender identity in consumer behavior research: a literature review and research agenda, Acad. Marketing Sci. Rev., 10, 1
  66. Popovič, 2012, Towards business intelligence systems success: effects of maturity and culture on analytical decision making, Decis. Support Syst., 54, 729, 10.1016/j.dss.2012.08.017 · DOI · Paper page
  67. Parasuraman, 2005, ES-QUAL a multiple-item scale for assessing electronic service quality, J. Serv. Res., 7, 213, 10.1177/1094670504271156 · DOI
  68. Pihl, 2013, When customers create the ad and sell it – a value network approach, J. Global Scholars Marketing Sci., 23, 127, 10.1080/21639159.2013.763487 · DOI
  69. Richard, 2010, A proposed model of online consumer behavior: assessing the role of gender, J. Bus. Res., 63, 926, 10.1016/j.jbusres.2009.02.027 · DOI · Paper page
  70. Roblyer, 2010, Findings on Facebook in higher education: a comparison of college faculty and student uses and perceptions of social networking sites, Internet Higher Educ., 13, 134, 10.1016/j.iheduc.2010.03.002 · DOI · Paper page
  71. Rodgers, 2003, Gender and e-commerce: an exploratory study, J. Advertising Res., 43, 322, 10.2501/jar-43-3-322-329 · DOI · Paper page
  72. Rohm, 2013, A mixed-method approach to examining brand-consumer interactions driven by social media, J. Res. Interact. Marketing, 7, 295, 10.1108/JRIM-01-2013-0009 · DOI · Paper page
  73. Ruane, 2013, Generation Y females online: insights from brand narratives, Qualitative Market Res., 16, 315, 10.1108/13522751311326125 · DOI
  74. Sashi, 2012, Customer engagement, buyer-seller relationships, and social media, Manage. Decis., 50, 253, 10.1108/00251741211203551 · DOI · Paper page
  75. Shin, 2013, The effect of site quality on repurchase intention in internet shopping through mediating variables: the case of university students in South Korea, Int. J. Inf. Manage., 33, 453
  76. So, 2016, Enhancing customer relationships with retail service brands: the role of customer engagement, J. Serv. Manage., 27, 170, 10.1108/JOSM-05-2015-0176 · DOI
  77. Trusov, 2009, Estimating the dynamic effects of online word-of-mouth on member growth of a social network site, J. Marketing, 73, 90, 10.1509/jmkg.73.5.90 · DOI · Paper page
  78. Veloutsou, 2009, Brand relationships through brand reputation and brand tribalism, J. Bus. Res., 62, 314, 10.1016/j.jbusres.2008.05.010 · DOI · Paper page
  79. Verbraken, 2014, Predicting online channel acceptance with social network data, Decis. Support Syst., 63, 104, 10.1016/j.dss.2013.08.011 · DOI
  80. Verhagen, 2011, Satisfaction with virtual worlds: an integrated model of experiential value, Inf. Manage., 48, 201
  81. Wang, 2016, What drives electronic word-of-mouth on social networking sites? Perspectives of social capital and self-determination, Telematics Inform., 33, 1034, 10.1016/j.tele.2016.03.005 · DOI · Paper page
  82. Weiser, 2000, Gender differences in Internet use patterns and Internet application preferences: a two-sample comparison, Cyber Psychol. Behav., 3, 167, 10.1089/109493100316012 · DOI · Paper page
  83. Wellman, 1979, The community question: the intimate networks of East Yorkers, Am. J. Sociol., 84, 1201, 10.1086/226906 · DOI · Paper page
  84. Winters, 2012, Consumer evaluation of customer loyalty programs: the role of customization in customer loyalty program involvement, J. Global Scholars Marketing Sci., 22, 370, 10.1080/21639159.2012.720752 · DOI
  85. Wirtz, 2013, Managing brands and customer engagement in online brand communities, J. Serv. Manage., 24, 223, 10.1108/09564231311326978 · DOI · Paper page
  86. Wolin, 2003, Web advertising: gender differences in beliefs, attitudes and behavior, Internet Res., 13, 375, 10.1108/10662240310501658 · DOI · Paper page
  87. Worth, 1992, Gender schematicity and preference for gender-typed products, Psychol. Marketing, 9, 17, 10.1002/mar.4220090104 · DOI
  88. Zaglia, 2013, Brand communities embedded in social networks, J. Bus. Res., 66, 216, 10.1016/j.jbusres.2012.07.015 · DOI · Paper page
  89. Zha, 2014, User perceptions of e-quality of and affinity with virtual communities: the effect of individual differences, Comput. Hum. Behav., 38, 185, 10.1016/j.chb.2014.05.039 · DOI
  90. Zhang, 2014, What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences, Inf. Manage., 51, 1017
  91. Zhang, 2016, Understanding relationship benefits from harmonious brand community on social media, Internet Res., 26, 809, 10.1108/IntR-05-2015-0149 · DOI
  92. Zhang, 2008, Capitalizing on content: information adoption in two online communities, J. Assoc. Inf. Syst., 9, 73
  93. Zheng, 2013, The impacts of information quality and system quality on users’ continuance intention in information-exchange virtual communities: an empirical investigation, Decis. Support Syst., 56, 513, 10.1016/j.dss.2012.11.008 · DOI · Paper page
  94. Zheng, 2015, Building brand loyalty through user engagement in online brand communities in social networking sites, Inf. Technol. People, 28, 90, 10.1108/ITP-08-2013-0144 · DOI · Paper page
  95. Zhu, 2016, Understanding the influence of C2C communication on purchase decision in online communities from a perspective of information adoption model, Telematics Inform., 33, 8, 10.1016/j.tele.2015.06.001 · DOI

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Metadata

Authors
Ul Islam, J., & Rahman, Z.
Venue
Telematics and Informatics
Publisher
Elsevier BV
Published
2017-07
Volume
34
Issue
4
Pages
96-109
ISSN
0736-5853 (ISSN-L)
DOI
10.1016/j.tele.2017.01.004
OpenAlex
W2577403197
Cited by
507
References
17
FWCI
77.57
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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Ul Islam, J., & Rahman, Z. (2017). The impact of online brand community characteristics on customer engagement: An application of Stimulus-Organism-Response paradigm. Telematics and Informatics. https://doi.org/10.1016/j.tele.2017.01.004

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