An Exploratory Study of Value Added Services

Hossein Olya, Levent Altinay, Glauco De Vita

    Research output: Contribution to journalArticlepeer-review

    12 Citations (Scopus)
    41 Downloads (Pure)

    Abstract

    Purpose: Using data from 104 countries over a six-year period (2009-2014), this study proposes a value-added predictor in service industries based on the eight indicators of the prosperity index, namely economy, entrepreneurship and opportunity, governance, education, health, safety and security, personal freedom, and social capital.
    Design/methodology/approach: The fuzzy-set qualitative comparative analysis (fsQCA) and complexity theory, a relatively novel approach for developing and testing the conceptual model, are used for asymmetric modelling of value added in service industries, and the predictive validity of the proposed configural model is tested.
    Findings: Apart from advancing method and theory, this study simulates causal conditions (i.e., recipes) leading to both high and low scores of the value added of services. The configural conditions indicating a high/low level of value added in service industries can be used as a guiding strategy for marketers, investors and policy makers.
    Originality/value: An analysis of worldwide data provides complex models demonstrating both how to regulate country conditions to achieve a high value-added score and select a foreign country for investment that offers a high level of value added service.
    Original languageEnglish
    Pages (from-to)334-345
    Number of pages12
    JournalJournal of Services Marketing
    Volume32
    Issue number3
    DOIs
    Publication statusPublished - 14 May 2018

    Keywords

    • Value added
    • Complexity theory
    • fsQCA
    • asymmetric modelling
    • Service

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