Cited by 111Digital Marketing and Social MediaConsumer Behavior in Brand Consumption and IdentificationCustomer Service Quality and Loyalty

Drivers and Outcomes of Brand Relationship Quality in the Context of Online Social Networks

Pentina, Iryna, Gammoh, Bashar S., Zhang, Lixuan, Mallin, Michael·2013·International Journal of Electronic Commerce

Abstract

This research adopts a brand relationship perspective to investigate how users of a social network site (e.g., Facebook and Twitter) perceive the quality of their relationship with those sites and their intention to continue to use them, as well as the intention to continue using the hosted brands that they "follow" through the social network site. In addition, the role of matching a user's personality to the perceived personality of the social network site is explored as an antecedent to perceived relationship quality with the social network site. Survey responses from 284 Twitter and Facebook users were collected, and Smart PLS path modeling was used to test our hypotheses. Findings confirm that individuals join and form stronger ties with social networks that convey similar personality characteristics to themselves. Study findings also reveal that perceived strength of relationship quality with an online network brand not only facilitates future intentions to continue using this network and recommend it to others but also strengthens preferences for other brands utilizing this network for marketing purposes. A key implication of our findings is that social network sites and "followed" businesses may benefit from designing and implementing relationship-building-focused processes to strengthen participation in the social network site to increase user engagement with brands hosted on the social network site.

Integrity signals

Registry

Crossref · 10.2753/jec1086-4415170303

Cites

73 of 73 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Consumers' perceived relationship quality with an online social network encourages future intentions to continue using this network and increases preferences for other brands that utilize the same network.

    “Pentina et al. [60] have found that consumers' perceived relationship quality with an online social network encourages future intentions to continue using this network and increases preferences for other brands that utilize the same network.”

Cites

Flagged first, then by citations

3 of the 76 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Pentina, I., Gammoh, B. S., Zhang, L., & Mallin, M.
Affiliations
  • University of Toledo (US)
  • Augusta University (US)
Venue
International Journal of Electronic Commerce
Published
2013-04
Volume
17
Issue
3
Pages
63-86
ISSN
  • 1086-4415 (ISSN-L)
  • 1557-9301
OpenAlex
W2040847245
Cited by
111
References
76
Citations by year
2026: 1 · 2025: 4 · 2024: 6 · 2023: 7 · 2022: 11 · 2021: 11 · 2020: 11 · 2019: 11 · 2018: 8 · 2017: 15 · 2016: 7 · 2015: 12 · 2014: 6 · 2013: 1
FWCI
26.85
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Electronic Commerce (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
Keywords
brand relationship quality, social network sites, Facebook, Twitter, user personality, continuance intention, brand following, brand preference, user engagement, relationship marketing, social media

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review