Are there any key factors that encourage food delivery applications use during the COVID-19 pandemic in Thailand and the role of HRM?

Jankit Chotigo · Yasuo Kadono

22 citations0/0 files storedHuman Systems Management

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Technology Adoption and User Behaviour Consumer Behavior and Marketing Influence Health, Technology, Consumer Behavior

Abstract

BACKGROUND: Recently, because of the COVID-19 pandemic, customer sentiment has evolved as the new “normal” for food consumption—as it affects customer behavioral change, including the way customers eat. Therefore, understanding customer demands and needs will help food delivery aggregators and retailers produce sustainable, competitive advantage and drive profitability. OBJECTIVE: This paper aims to investigate the determinant factors of Thai consumers’ intention to use on-demand food delivery applications. METHODS: Convenient random sampling was used to gather data from 250 participants who have used food delivery applications in Thailand and Amos version 23 to test model validity and the hypotheses. RESULTS: The results show that satisfaction is critical for the intention to use food delivery applications. Social influence, trust, convenience, and application quality were found to play an essential role in meeting the needs of satisfaction toward the intention to use, and application quality is the most important. However, habit showed a negative relationship, and price value was found to have a nonsignificant impact on satisfaction. CONCLUSIONS: Food delivery aggregators should ensure the quality of application updates and efficiency and that users have the best quality experience to maintain customer satisfaction. However, customers are also concerned about their health and safety, which has altered their purchasing behavior. Therefore, restaurant players should add a third delivery system that optimize online ordering and delivery.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 22 citations exist upstream.

References

1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2003User Acceptance of Information Technology: Toward A Unified View1 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 1993Conceptualizing, Measuring, and Managing Customer-Based Brand Equity 2003The DeLone and McLean Model of Information Systems Success: A Ten-Year Update 1992Information Systems Success: The Quest for the Dependent Variable 1997An Examination of the Nature of Trust in Buyer-Seller Relationships

Cited by

2024Food delivery competition in the digital economy: Price war strategy in a developing country 2025Robot Acceptance and Service Quality in Food Delivery: An Expanded TAM-based Study 2024Consumers' intention to use online food delivery services: A meta‐analytic structural equation modeling approach 2024Foodtech in motion: innovation and digitalisation of the food service sector in the post-pandemic Spain

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.