Importance–performance and potential gain of food delivery apps: in view of the restaurant partner perspective

Abstract

PurposeThe food industry is continuously developing its online services called food delivery applications (FDAs). This study aims to evaluate FDA's importance–performance and identify strategies to maximize its potential gains from a business partner's perspective.Design/methodology/approachData are collected from 208 FDA partners in Indonesia. Importance–performance analysis (IPA) is applied to evaluate the FDA feature and extended the theory of potential gain in customer value (PGCV) to achieve potential gains from FDA business partners.FindingsThis study provides a clear and measurable direction for future research to develop FDA performance. Owning customer data, revenue sharing and competitive advantage are the most potential gains from joining the FDA from the business partner perspective.Research limitations/implicationsThe respondents are restaurants from the micro, small, and medium enterprises levels. Further research should involve middle to upper level restaurants to discover all business partners' perceptions. This will be very helpful for FDA providers interested in improving the best performance for all their partners.Practical implicationsFDA providers must focus on improving and maintaining the features of owning customer data, revenue sharing, competitive advantage, stable terms and conditions, customer interface, building customer loyalty, online presence, user credit rating, promotion and offers, delivery service and sales enhancement to increase consumer satisfaction and meet the expectations desired by business partners.Originality/valueThis research provides a meaningful theoretical foundation for future work. It extends the theory of PGCV using the value of a partner perspective as a substitute for customer value; hence, the authors call it a potential gain in partner value.

Aligning restaurants and artificial intelligence computing of food delivery service with product development

“…Further, we illustrate the critical role of MFDA AI computing in product development. Technological competence will moderate relational ties impact on product development restaurant efficiency; this builds on the research of Wu (2022) and Wahyudin et al (2023) and further explains why restaurants must develop a strong connection with MFDAs to ensure products are consistently served promptly; it can also efficiently calculate and analyze product development and timely delivery.…”

“…Furthermore, data-driven artificial intelligence (AI) increases, allowing adaptation to changing consumer trends and preferences (Wang et al , 2021; Zhu et al , 2023). Recently, restaurants have depended on data transactions among mobile food delivery applications (MFDAs) to support their operations (Wahyudin et al , 2023); these provide benefits for restaurants, including supply chain optimization, ensuring timely deliveries and reducing costs through AI computing.…”

HEISQUAL – ACSI – IPA – PGCV: Synthesis of higher education service satisfaction measurements

“…ACSI is a development of the Customer Satisfaction Index (CSI) method, taking into account the value of expectations, performance and satisfaction so that the predictive level of this method is more accurate compared to other satisfaction index measurement methods (Hsu, 2008). Meanwhile, the combination of the IPA and PGCV methods is used to accurately determine the ranking of indicators for each dimension of HE service quality which is a priority for improvement (Nugraha et al, 2019;Wahyudin et al, 2023).…”