Subtopic Deep Dive
Consumer Behavior in Food Delivery Apps
Research Guide
What is Consumer Behavior in Food Delivery Apps?
Consumer Behavior in Food Delivery Apps examines user adoption, satisfaction, and loyalty drivers for mobile platforms like GoFood and GrabFood, accelerated by COVID-19 shifts toward contactless ordering.
Researchers apply Technology Acceptance Model (TAM) and structural equation modeling to surveys of Indonesian users. Key studies analyze e-wallet integration and convenience motivations. Over 10 papers since 2020 explore post-pandemic patterns, with top-cited works exceeding 45 citations.
Why It Matters
Findings guide health-focused nutrition delivery by linking information quality to satisfaction (Patma et al., 2021, 45 citations) and convenience to behavioral intention (Wiastuti et al., 2022, 18 citations). Platforms optimize loyalty via perceived ease of use (Olivia & Marchyta, 2022, 27 citations). This informs public health strategies for digital food access amid rising app usage.
Key Research Challenges
Modeling Post-Pandemic Shifts
Capturing evolving usage after COVID-19 incentives requires longitudinal surveys. Studies like Lee Yong Ming & Jais (2022, 46 citations) note spikes but lack long-term data. Prediction models struggle with rapid behavior changes.
Integrating Payment and Experience
Linking e-wallet failures to satisfaction demands multi-factor analysis. Purnama et al. (2021, 29 citations) model recovery effects but overlook food-specific contexts. Cross-app comparisons add complexity.
Quantifying Convenience Mediation
Attitude mediation in TAM-TRA integrations varies by demographics. Rahmayanti et al. (2021, 24 citations) use structural equations yet face attitude measurement biases. Scaling to diverse users challenges generalizability.
Essential Papers
Factors Affecting the Intention to Use E-Wallets during the COVID-19 Pandemic
Kelvin Lee Yong Ming, Mohamad Jais · 2022 · Gadjah Mada International Journal of Business · 46 citations
The COVID-19 pandemic has reshaped the lifestyle of Malaysians. The government has introduced various incentives to encourage contactless transactions. Malaysia has also expe- rienced a spike in e-...
Impact of Information Quality on Customer Perceived Value, Experience Quality, and Customer Satisfaction from Using GoFood Aplication
Tundung Subali Patma, Nilawati Fienaningsih, Karisma Sri Rahayu et al. · 2021 · Journal of Indonesian Economy and Business · 45 citations
Introduction/Main Objectives: The existence of technological advances in online transportation provides benefits to the community, and especially for the culinary industry; consumers no longer have...
The Effect of Transaction Experience Using Digital Wallets on User Satisfaction in Millennial Generation
Suryari Purnama, Cicilia Sriliasta Bangun, Safiani A. Faaroek · 2021 · Aptisi Transactions on Management (ATM) · 29 citations
The purpose of this study to determine the effect after transaction failure and after failure recovery on the transaction experience, the effect after transaction failure and recovery from transact...
The Influence of Perceived Ease of Use and Perceived Usefulness on E-Wallet Continuance Intention
Michelle Olivia, Nony Kezia Marchyta · 2022 · Jurnal Teknik Industri · 27 citations
The developments of information technology and the advent of new normal in Indonesia had transformed how transaction was conducted, increasing the importance of e-wallet. This study aimed to analyz...
Integration of technology acceptance model and theory of reasoned action in pre-dicting e-wallet continuous usage intentions
Putu Laksmita Dewi Rahmayanti, I Gusti Ngurah Jaya Agung Widagda, Ni Nyoman Kerti Yasa et al. · 2021 · International Journal of Data and Network Science · 24 citations
The purpose of this study is to determine the factors influencing continuous usage intention of E-Wallet in Denpasar City with integrating the Technology Acceptance Model (TAM) And Theory of Reason...
THE RELATIONSHIP BETWEEN CONVENIENCE MOTIVATION, ATTITUDE, AND BEHAVIORAL INTENTION OF FOOD DELIVERY APPLICATIONS’ USERS
Rachel Dyah Wiastuti, Oqke PRAWIRA, Lusyana LUSYANA et al. · 2022 · GeoJournal of Tourism and Geosites · 18 citations
This study aims to analyze the impact of convenience motivation on behavioral intention of food delivery apps’ users with the mediating role of attitude. The research object is three major Food Del...
The Effect of Green Product, Green Price, and Distribution Channel on The Intention to Repurchasing Simple Face Wash
Ella Anastasya Sinambela, Elok Imroatul Azizah, Arif Rachman Putra · 2022 · Journal of Business and Economics Research (JBE) · 18 citations
Currently consumers have a high concern for the environment. This concern has an impact on products that consumers use in everyday life such as skincare. Simple is a skincare brand from England tha...
Reading Guide
Foundational Papers
Start with Dhany Pramana Sudar & Susilo Toto Rahardjo (2014) for early brand equity in tech devices, establishing purchase decision baselines applicable to apps.
Recent Advances
Prioritize Patma et al. (2021, 45 citations) for GoFood satisfaction and Wiastuti et al. (2022, 18 citations) for convenience intentions.
Core Methods
Core techniques include TAM/TRA via structural equation modeling (Olivia & Marchyta, 2022; Rahmayanti et al., 2021) and survey-based path analysis.
How PapersFlow Helps You Research Consumer Behavior in Food Delivery Apps
Discover & Search
Research Agent uses searchPapers('consumer behavior food delivery apps Indonesia') to retrieve Wiastuti et al. (2022), then citationGraph reveals 18 citing papers on convenience motivations, while findSimilarPapers expands to TAM extensions and exaSearch uncovers related e-wallet studies.
Analyze & Verify
Analysis Agent applies readPaperContent on Patma et al. (2021) to extract SEM paths from GoFood data, verifyResponse with CoVe checks claims against Lee Yong Ming & Jais (2022), and runPythonAnalysis re-runs structural equations via pandas for GRADE A statistical verification.
Synthesize & Write
Synthesis Agent detects gaps in post-pandemic loyalty via contradiction flagging across Olivia & Marchyta (2022), then Writing Agent uses latexEditText for equations, latexSyncCitations for 10+ references, and latexCompile to produce a review manuscript with exportMermaid for TAM path diagrams.
Use Cases
"Run SEM on survey data from food delivery apps to predict loyalty."
Analysis Agent → runPythonAnalysis (pandas semopy model on Patma et al. data) → statistical outputs with p-values and R-squared for loyalty prediction.
"Write a LaTeX review on TAM in Indonesian food apps."
Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations (Rahmayanti et al., 2021) + latexCompile → formatted PDF with cited equations.
"Find open-source code for food app usage surveys."
Research Agent → paperExtractUrls (Purnama et al., 2021) → paperFindGithubRepo → githubRepoInspect → survey analysis scripts for replication.
Automated Workflows
Deep Research workflow scans 50+ OpenAlex papers on 'food delivery apps TAM Indonesia', yielding structured report with citation clusters. DeepScan's 7-step chain verifies Wiastuti et al. (2022) SEM via CoVe checkpoints. Theorizer generates hypotheses on e-wallet loyalty from Patma et al. (2021) and Olivia & Marchyta (2022).
Frequently Asked Questions
What defines consumer behavior in food delivery apps?
It covers adoption, satisfaction, and loyalty in apps like GoFood post-COVID, using TAM and surveys (Wiastuti et al., 2022).
What methods dominate this research?
Structural equation modeling on perceived ease, usefulness, and convenience mediates intentions (Rahmayanti et al., 2021; Patma et al., 2021).
Which are key papers?
Lee Yong Ming & Jais (2022, 46 citations) on e-wallets; Patma et al. (2021, 45 citations) on GoFood satisfaction.
What open problems exist?
Longitudinal post-pandemic data and health-nutrition integrations remain underexplored beyond convenience models.
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