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Linda D. Hollebeek

Researcher at Tallinn University of Technology

Publications -  111
Citations -  15228

Linda D. Hollebeek is an academic researcher from Tallinn University of Technology. The author has contributed to research in topics: Customer engagement & Computer science. The author has an hindex of 35, co-authored 87 publications receiving 10486 citations. Previous affiliations of Linda D. Hollebeek include University of Auckland & University of Montpellier.

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Personality factors as predictors of online consumer engagement: an empirical investigation

TL;DR: In this paper, a survey incorporating the Big Five model of personality, 390 responses were collected from students who were members of at least one Facebook-based online brand community (OBC) and structural equation modeling was used to analyze the data.
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Exploring and validating social identification and social exchange-based drivers of hospitality customer loyalty

TL;DR: In this article, the authors developed and tested a model that explores the effects of brand identification, satisfaction, commitment and trust on customer loyalty toward four and five-star hotels in the emerging markets context.
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Theorizing about resource integration through service-dominant logic

TL;DR: In this paper, the ontological and epistemological assumptions that guide the theorizing process of resource integration are discussed, and the processes that relate to theorizing and developing strong theory are discussed.
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Light at the end of the tunnel: Visitors' virtual reality (versus in-person) attraction site tour-related behavioral intentions during and post-COVID-19

TL;DR: In this article, the authors develop and test a model that examines key drivers of visitors' COVID-19-induced social distancing behavior and its effect on their intent to use virtual reality-based (vs in-person) attraction site tours during and post-COVID19.
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Developing business customer engagement through social media engagement-platforms: An integrative S-D logic/RBV-informed model

TL;DR: In this article, an integrative S-D logic/RBV-informed model is developed, where an industrial customer's investment of operant/operand resources in supplier interactions via particular B2B engagement-platforms, including social media.