Evidence map›Paper›PMID 36540546›Full record

ArticleTechnological forecasting and social change2021

Is the Covid-19 pandemic strong enough to change the online order delivery methods? Changes in the relationship between attitude and behavior towards order delivery by drone.

Ümit Yaprak, Fatih Kılıç, Abdullah Okumuş

Abstract read
In one paragraph

Article in Technological forecasting and social change, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Risks of Drone Use in Light of Literature Studies.Sensors (Basel, Switzerland) · 2024
    Review
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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

3 authors.

Ümit YaprakInstitute of Social Science, Marketing Ph.D Program, Istanbul University, Istanbul, Turkey.
Fatih KılıçInstitute of Social Science, Marketing Ph.D Program, Istanbul University, Istanbul, Turkey.
Abdullah OkumuşMarketing Department, School of Business, Istanbul University & Dean Faculty of Transportation and Logistics, Istanbul University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delivery of products in online orders by drones has begun to be tested by major retailers. How about consumers? Are they ready for this? Due to the emergence of Covid-19 and its easy transmission from person to person, considering the risks in the streets, a lot of people have started to place their orders online. However, the interaction between the courier and the consumer during the order delivery has become a problem over time. Reducing people's anxiousness in such pandemic situations brings uncertainty about the delivery of the orders. The object of the research is to create a drone delivery system, which is an alternative delivery system that will be solution to these problems and is also used in a limited way around the world. With this study, whose theoretical background is based on the diffusion of innovations theory, technology acceptance model and protection motivation theory, it is aimed to test the relationship between consumer's perceptions, attitudes and behavioral intentions towards drone delivery of online orders. In this research, questionnaire method has been used for data collection and measurement. Moreover, the Structural Equation Modeling approach has been used for data analysis and validation of models. According to the results of this study, significant relationships have been identified between the consumers' perception of benefit and risk, and attitudes and behavioral intentions towards drone delivery of online orders during pandemics.

Indexed as

ConsumerCovid-19Drone DeliveryPandemicPerceptionsRisk PerceptionTechnology

Identifiers

PMID36540546
PMCPMC9755559

What OpenQuestion holds

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Registered trials

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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.