PurposeThis study aims to develop an understanding of how customers of a physical retail store valuate receiving location-based mobile phone messages when they are in proximity of the store. It proposes and tests a model relating two benefits (personalization and location congruency) and two sacrifices (privacy concern and intrusiveness) to message value perceptions and store visit attitudes.Design/methodology/approachThe study uses a vignette-based survey to collect data from a sample of 1,225 customers of a fashion retailer. The postulated research model is estimated using SmartPLS 3.0 with the consistent-PLS algorithm and further validated via a post-hoc test.FindingsThe empirical testing confirms the predictive validity and robustness of the model and reveals that location congruency and intrusiveness are the location-based message characteristics with the strongest effects on message value and store visit attitude.Originality/valueThe paper adds to the underexplored field of store entry research and extends previous location-based messaging studies by integrating personalization, location congruency, privacy concern and intrusiveness into one validated model.
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This paper assesses the sustainability performance of the banana value chain by comparing and discussing 25 attributes owing to different sustainability dimensions. The paper identifies critical aspects and provides a qualitative assessment of the sustainabilityperformances of banana chains at the local level. The study finds economic, social, and environmental indicators have moderate sustainability performance in the Arba Minch, Ethiopia. The chain has an advantage in terms of profitability, employment, and emissionof air pollutants; and constraints in terms of coordination, value share, profit margins, market diversity, product and market information, transportation, waste management, and safety and hygiene.
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