Digital menus innovation diffusion and transformation process of consumer behavior

Pearl M.C. Lin, Kang Lin Peng, Wai Ching Wilson Au, Hanqin Qiu, Cheng Dan Deng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

Purpose: This study aims to investigate how different menu types trigger diners’ behavioral intentions in restaurants’ innovation diffusion from paper to digital menus. Design/methodology/approach: Four menu types, namely, paper menus with text only, paper menus with text and images, digital menus that show text and images or text and video with self-service technological functionality, are designed to empirically examine a mental process through which perceived information quality, perceived food quality and perceived service quality influence diners’ behavioral intentions. Findings: Based on the online survey data from 502 diners, results show that the menu design influences customers’ perceptions. The video-based digital menu is the most effective to generate diners’ behavioral intentions, followed by a paper menu with text and images. Research limitations/implications: This study contributes to the innovation diffusion theory and stimulus-organism-responses theory to encourage the joint use of auditory and visual channels for digital menu design in restaurants. Originality/value: The authors confirm the digital transformation in menu design in restaurants. Restaurant diners are also prepared and comfortable with digital menus, especially in the postpandemic world.

Original languageEnglish
Pages (from-to)732-761
Number of pages30
JournalJournal of Hospitality and Tourism Technology
Volume14
Issue number5
Early online date8 Aug 2023
DOIs
Publication statusPublished - 22 Nov 2023

Keywords

  • Digital menu
  • Perceived food quality
  • Perceived information quality
  • Perceived service quality
  • Restaurant
  • Self-service technology

ASJC Scopus subject areas

  • Information Systems
  • Tourism, Leisure and Hospitality Management
  • Computer Science Applications

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