Master in Management, Faculty of Economics and Business, Universitas Gadjah Mada
Language
eng
Abstract
Research on the customer value to an organization has been widely explored, yet most studies only determined on the financial value based on the customer’s purchasing behavior. The value of customers beyond their purchasing behavior –defined as the relational worth - has not been commonly captured yet. This non-financial value is one of the drivers in retaining customers, hence it becomes a crucial factor in preserving the profitability of the organization. For this reason, this paper aims to examine the customer non-financial valuations of a loyalty reward program. The scope of the study covered a reward program involving consumer exertions in the context of a Frequent Flyer Program (FFP) offered by an airline in Indonesia. The hypotheses are empirically tested with a sample of FFP members conducted through an online survey (n=475). The data were statistically analyzed using structural equation modeling (SEM) as a first order construct. Results indicate that the perceived social rewards lead to an affective and normative commitment as well as consumers’ satisfaction, while the economic reward did not have an effect on developing affective bonds with members for long-term relationships. The relational benefit offered through the FFP creates affectively and normatively committed members who produce relational behaviors, in terms of WOM, immunity, openness and acquiescence of the members to the airline. Furthermore, the FFP members produced social behaviors toward the airline when they felt satisfied with their relational exchanges.
Collaboration network of the authors
23 authors ·
48 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
IPB University
Affiliation unknown
Different organisations
Same organisation
Affiliation unknown
Thicker line = more joint articles · bigger circle = more articles
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.