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Literature Review Matrix Template.pdf

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This document contains a literature review of 30 sources related to online food delivery services. The sources cover a wide range of countries and time periods, with topics including reliability of delivery networks, consumer behaviors and motivations, adoption of delivery apps by restaurants, determinants of customer satisfaction and loyalty, and the impacts of delivery platforms on sustainability. The literature employs a variety of quantitative, qualitative and mixed methods to investigate these issues from the perspectives of consumers, employees, and platforms.

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1 No Author/ Date Country Variable Method Sample/Respondent Title 1. Ngyuyen et al., (2023) Taiwan Limited time and space Quantitative Cross-sectional Survey Reliability Investigate exact reliability under limited time and space of a multistate online food delivery network 2. Liboredo et al., (2022) Brazil Behavior Mix mode Qualitative Interview Quantitative survey Consumer (purchase meal) Food Delivery before and during COVID 19 Pandemic in Brazil 3. Lee et al.,(2022) Korea Technology Acceptance Usefulness Ease of use Intention of use Quantitative Food Delivery Apps User Application of the technology acceptance model to food delivery apps. 4. Lee et al.(2022) Macau Customer brand loyalty Quantitative Food Delivery Apps User Food delivery application quality in customer brand loyalty formation: Identifying its antecedent and outcomes 5. Traynor et al., (2022) US Adoption Motivation Operational Changes Impact Future Strategies Quantitative Employee Investigating the emergence of third- party online food delivery in the U.S. restaurant industry: A grounded theory approach 6. Pitchay et al.,(2022) Malaysia Customer intention Attitude Performance Expectancy Effort Expectancy Social Influence Information Quality Price Saving Orientation Qualitative (existing theory) Consumer Determinants of customers' intention to use online food delivery application through smartphone in Malaysia
Time Saving Orientation 7. Kwon J et al., (2022) Korea Perceived Equity Loyalty Consumer Behavior Sustainability Value Brand Relationship Qualitative Consumer Role of customers’ multidimensional perceived equity in the mobile food delivery industry 8. Kwon J et.al., (2022) Korea Customers behavior Perceived value Positive attitude Satisfaction Attitudinal loyalty Service Value Process Value Relationship Value Qualitative Consumer Multidimensional value of customers' mobile service experiences in the food service context 9. Li et al., (2022) Taiwan Demand Behavior Price Variation Quantitative Consumer Service pricing strategy of food delivery platform operators: A demand-supply interaction model 10. Bivona (2022) Italy Performance Management Growth strategies Attractiveness Mix Method Food Delivery Platforms Determinants of performance drivers in online food delivery platforms: a dynamic performance management perspective 11. Shankar et al.,(2022) India Systematic Quantitative NA - Literature Review Online food delivery: A systematic synthesis of literature and a framework development 12. Wang et al.,(2022) China Quantify the nature Performance Quantitative Cities Different Lockdown How online food delivery platforms
Positive Contribution Reopening measures contributed to the resilience of the urban food system in China during the COVID-19 pandemic 13. Chan and Gao (2021) China Service E-Quality Food Quality Mixed method Quantitative Qualitative Consumer Measuring the up-to- date quality of online food delivery: formative index construction 14. Sharma et al., (2021) India Consumer Behavior Usage Attitude Consciousness Impacts Trust Price Consciousness Perceived Severity Interface issue and Quality Qualitative Consumer Over-ordering and food waste: The use of food delivery apps during a pandemic 15. Kumar et al., (2021) India Aesthetic Appeal Formality Dominance Pleasure Arousal Continued Usage Intentions Quantitative Independent Expert Revisiting food delivery apps during COVID-19 pandemic? Investigating the role of emotions 16. Gavilan et al.,(2021) Spain Experiential Value Willingness Fear Perceived Utilitarian Value Qualitative Consumer (standard delivery, unboxing ,home chef, and diy meal kit) Innovation in online food delivery: Learnings from COVID-19 17. Tandon et al., (2021) Finland Visibility Attitude Functional, Social, Conditional Value Quantitative Consumer Why do people purchase from food delivery apps? A consumer value perspective
Purchase Intention 18. Annaraud et al., (2020) US Increase Customer Intentions Satisfaction Quality Perceived Satisfaction Behavioral Intentions Quantitative Consumer Predicting satisfaction and intentions to use online food delivery: What really makes a difference? 19. Zhao and Bacao (2020) Portugal Performance Expectancy Effort Social Influence Trust Perceived task Satisfaction Intention Quantitative Consumer What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? 20. Kaur et al., (2020) Finland Consumer Behavior Value Mixed Method Consumer The value proposition of food delivery apps from the perspective of theory of consumption value 21. Li et al., (2020) New Zealand Positive Negative Impact Sustainability Influence Quantitative Literature Review Document Review of online food delivery platforms and their impacts on sustainability 22. Chai and Yat .,(2019) Malaysia Perceived Ease of Use Time Saving Motivation Privacy & Security Behavioral Intention Quantitative Consumer Online Food Delivery Services: Making Food Delivery the New Normal
23. Griesbach et al., (2019) US Satisfaction App is Fair Qualitative Employee Algorithmic Control in Platform Food Delivery Work 24. Suhartanto et al.,(2018) Loyalty Influence Satisfaction Perceived Value Quality Quantitative Consumer Loyalty toward online food delivery Service : the role e-service quality and food quality 25. 26. 27. 28. 29. 30.

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Literature Review Matrix Template.pdf

  • 1. 1 No Author/ Date Country Variable Method Sample/Respondent Title 1. Ngyuyen et al., (2023) Taiwan Limited time and space Quantitative Cross-sectional Survey Reliability Investigate exact reliability under limited time and space of a multistate online food delivery network 2. Liboredo et al., (2022) Brazil Behavior Mix mode Qualitative Interview Quantitative survey Consumer (purchase meal) Food Delivery before and during COVID 19 Pandemic in Brazil 3. Lee et al.,(2022) Korea Technology Acceptance Usefulness Ease of use Intention of use Quantitative Food Delivery Apps User Application of the technology acceptance model to food delivery apps. 4. Lee et al.(2022) Macau Customer brand loyalty Quantitative Food Delivery Apps User Food delivery application quality in customer brand loyalty formation: Identifying its antecedent and outcomes 5. Traynor et al., (2022) US Adoption Motivation Operational Changes Impact Future Strategies Quantitative Employee Investigating the emergence of third- party online food delivery in the U.S. restaurant industry: A grounded theory approach 6. Pitchay et al.,(2022) Malaysia Customer intention Attitude Performance Expectancy Effort Expectancy Social Influence Information Quality Price Saving Orientation Qualitative (existing theory) Consumer Determinants of customers' intention to use online food delivery application through smartphone in Malaysia
  • 2. Time Saving Orientation 7. Kwon J et al., (2022) Korea Perceived Equity Loyalty Consumer Behavior Sustainability Value Brand Relationship Qualitative Consumer Role of customers’ multidimensional perceived equity in the mobile food delivery industry 8. Kwon J et.al., (2022) Korea Customers behavior Perceived value Positive attitude Satisfaction Attitudinal loyalty Service Value Process Value Relationship Value Qualitative Consumer Multidimensional value of customers' mobile service experiences in the food service context 9. Li et al., (2022) Taiwan Demand Behavior Price Variation Quantitative Consumer Service pricing strategy of food delivery platform operators: A demand-supply interaction model 10. Bivona (2022) Italy Performance Management Growth strategies Attractiveness Mix Method Food Delivery Platforms Determinants of performance drivers in online food delivery platforms: a dynamic performance management perspective 11. Shankar et al.,(2022) India Systematic Quantitative NA - Literature Review Online food delivery: A systematic synthesis of literature and a framework development 12. Wang et al.,(2022) China Quantify the nature Performance Quantitative Cities Different Lockdown How online food delivery platforms
  • 3. Positive Contribution Reopening measures contributed to the resilience of the urban food system in China during the COVID-19 pandemic 13. Chan and Gao (2021) China Service E-Quality Food Quality Mixed method Quantitative Qualitative Consumer Measuring the up-to- date quality of online food delivery: formative index construction 14. Sharma et al., (2021) India Consumer Behavior Usage Attitude Consciousness Impacts Trust Price Consciousness Perceived Severity Interface issue and Quality Qualitative Consumer Over-ordering and food waste: The use of food delivery apps during a pandemic 15. Kumar et al., (2021) India Aesthetic Appeal Formality Dominance Pleasure Arousal Continued Usage Intentions Quantitative Independent Expert Revisiting food delivery apps during COVID-19 pandemic? Investigating the role of emotions 16. Gavilan et al.,(2021) Spain Experiential Value Willingness Fear Perceived Utilitarian Value Qualitative Consumer (standard delivery, unboxing ,home chef, and diy meal kit) Innovation in online food delivery: Learnings from COVID-19 17. Tandon et al., (2021) Finland Visibility Attitude Functional, Social, Conditional Value Quantitative Consumer Why do people purchase from food delivery apps? A consumer value perspective
  • 4. Purchase Intention 18. Annaraud et al., (2020) US Increase Customer Intentions Satisfaction Quality Perceived Satisfaction Behavioral Intentions Quantitative Consumer Predicting satisfaction and intentions to use online food delivery: What really makes a difference? 19. Zhao and Bacao (2020) Portugal Performance Expectancy Effort Social Influence Trust Perceived task Satisfaction Intention Quantitative Consumer What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? 20. Kaur et al., (2020) Finland Consumer Behavior Value Mixed Method Consumer The value proposition of food delivery apps from the perspective of theory of consumption value 21. Li et al., (2020) New Zealand Positive Negative Impact Sustainability Influence Quantitative Literature Review Document Review of online food delivery platforms and their impacts on sustainability 22. Chai and Yat .,(2019) Malaysia Perceived Ease of Use Time Saving Motivation Privacy & Security Behavioral Intention Quantitative Consumer Online Food Delivery Services: Making Food Delivery the New Normal
  • 5. 23. Griesbach et al., (2019) US Satisfaction App is Fair Qualitative Employee Algorithmic Control in Platform Food Delivery Work 24. Suhartanto et al.,(2018) Loyalty Influence Satisfaction Perceived Value Quality Quantitative Consumer Loyalty toward online food delivery Service : the role e-service quality and food quality 25. 26. 27. 28. 29. 30.