Evidence map›Paper›PMID 37809594›Full record

ArticleHeliyon2023

Unveiling digital transformation: Investigating technology adoption in Vietnam's food delivery industry for enhanced customer experience.

Ha Hoang, Trinh Le Tan

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ha HoangFaculty of Business Administration, The University of Danang - University of Economics, Viet Nam.
Trinh Le TanBusiness Department, FPT University, Da Nang 550000, Viet Nam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital platforms are increasingly playing a crucial role in the digital transformation process, enabling small and medium-sized enterprises to gain a competitive advantage and achieve their business objectives. This research study aims to extend the Technology Acceptance Model by incorporating the Stimulus-Organism-Reaction theory to gain a comprehensive understanding of the factors influencing satisfaction, continued intention to use, and positive electronic word-of-mouth (eWOM) in the context of Food Delivery Apps (FDAs). A quantitative approach was employed, and data were collected through a survey administered to 346 FDA users. The results reveal that both Information quality and Task-technology fit have a positive impact on satisfaction and continued intention to use. Additionally, satisfaction was found to have the greatest influence on continued intention to use and positive eWOM, with information quality exerting the most significant impact on satisfaction. Furthermore, the study findings demonstrated that promotion has a significant impact on generating positive eWOM. This study makes a substantial contribution to the existing literature by providing valuable insights into the factors influencing FDA usage and their impact on satisfaction, continued intention to use, and positive eWOM. It serves as a foundation for further research in this emerging field and offers practical implications for stakeholders involved in the development, management, and utilization of FDAs.

Indexed as

Continued intentionDigital transformationFood delivery appsPositive eWOMStimulus-organism-reactionTechnology acceptance model

Identifiers

PMID37809594
PMCPMC10559001

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.