Evidence map›Paper›PMID 35013678›Full record

ArticleElectronic commerce research and applications

The moderating role of social distancing in mobile commerce adoption.

Wei-Kang Kao, E André L'Huillier

Abstract read
In one paragraph

Article in Electronic commerce research and applications. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Wei-Kang KaoHarrisburg University of Science and Technology, Data Analytics program, Harrisburg 17057, United States.
E André L'HuillierHarrisburg University of Science and Technology, Data Analytics program, Harrisburg 17057, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Covid-19 pandemic has pressured marketers and consumers adapt their purchasing habits. Known literature on mobile commerce (MC) highlights its advantage on convenience, which now is accompanied by health safety. Although MC has been outgrowing other online sectors, the early stages of the pandemic provided a new scenario. We study the relationship between consumer's attitudes about Covid-19 public health restrictions and the behavioral intention for MC adoption. Previous research on technology acceptance of online and mobile shopping have focused on aspects like safety and behavioral intention as key factors. Thus, we examine how attitude towards social distancing practices during the pandemic has affected consumers intentions to adopt of mobile commerce. We aim to study the degree on which this attitude affects previous intentions on purchasing or subscribing to services via mobile devices. For this, we present a Theory of Planned Behavior (TPB) model of consumer MC adoption using social distance as a moderator. An empirical analysis using a survey of attitude and beliefs over mobile commerce and social distancing is presented, confirming the factors underlying using structural equation modeling. Results show that the attitudes toward social distancing are a significant moderator of purchasing through mobile devices; indicating that an individual's adherence to recommended practices during the pandemic does positively influence the adoption. MC is known for being a potential advantage to facilitate customer experience. According to our results, we believe marketers should reconsider or further develop MC infrastructure, highlighting its convenience and health safety role.

Indexed as

Consumer behaviorCovid-19HCIMobile commerceTechnology adoptionTheory of planned behavior

Identifiers

PMID35013678
PMCPMC8734084

What OpenQuestion holds

Textmetadata
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.