cebeci_2023_crowdshipping_trust

3,440 rated or chosen profiles from 215 respondents, in up to 8 tasks of 2 profiles varying on 7 attributes.

About this table

DescriptionChoice experiment on parcel delivery: 215 Dutch online respondents (mostly students) chose between a crowdshipping delivery (varying delivery time, cost, tracking, company reputation, insurance, damage risk) and a fixed traditional delivery, and rated their trust in crowdshipping; 8 tasks each.
ReferenceCebeci, M. S., Tapia, R. J., Kroesen, M., de Bok, M., & Tavasszy, L. (2023). The effect of trust on the choice for crowdshipping services. Transportation Research Part A: Policy and Practice, 170, 103622.
DOI10.1016/j.tra.2023.103622
LicenceCC BY-NC-SA 4.0
Source datahttps://doi.org/10.4121/b1cd5e55-c3c2-4d5b-8ec7-58f071f53b6e.v2

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents215
Rows (one per respondent, task and profile)3,440
Tasks per respondent (most)8
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topicconsumer products
A profile representsproduct service
CountryNL
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positionrecorded in the deposit

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceFrom the available delivery options below, select the one that fits your preference most. Would you consider making use of this crowdshipping service? Yes / No (I would use traditional delivery) [choice, forced]
rating_trustBased on the above mentioned scenario, how much would you trust crowdshipping? [rating, 1 (Strongly distrustful) to 5 (Strongly trustful)]

Columns

attr_damageattr_delivery_costattr_delivery_timeattr_insuranceattr_reputationattr_serviceattr_trackingchoicecov_age_codecov_education_codecov_gender_codecov_income_codecov_occupation_codeidprofilerating_trusttasktrial_block

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Licence: CC BY-NC-SA 4.0 — non-commercial use only; adaptations must be shared under the same licence.

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("cebeci_2023_crowdshipping_trust", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("cebeci_2023_crowdshipping_trust", source="conj")

How to cite

@article{Cebeci_2023, title={The effect of trust on the choice for crowdshipping services}, volume={170}, ISSN={0965-8564}, url={http://dx.doi.org/10.1016/j.tra.2023.103622}, DOI={10.1016/j.tra.2023.103622}, journal={Transportation Research Part A: Policy and Practice}, publisher={Elsevier BV}, author={Cebeci, Merve Seher and Tapia, Rodrigo Javier and Kroesen, Maarten and de Bok, Michiel and Tavasszy, Lóránt}, year={2023}, month=Apr, pages={103622} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0