What most influences consumers’ intention to use? Different motivation and trust stories for uber, airbnb, and taskrabbit

预测能力 互补性(分子生物学) 共享经济 样品(材料) 营销 业务 内在动机 社会心理学 心理学 计算机科学 万维网 遗传学 生物 色谱法 哲学 化学 认识论
作者
John Tripp,D. Harrison McKnight,Nancy K. Lankton
出处
期刊:European Journal of Information Systems [Palgrave Macmillan]
卷期号:32 (5): 818-840 被引量:15
标识
DOI:10.1080/0960085x.2022.2062469
摘要

While many factors drive the sharing economy's growth, trust and motivations play critical roles. However, which factors are more important to young consumers? This research compares a trust model with a motivation model for predicting intention to use Airbnb, Uber, and TaskRabbit, comparing within each platform, not between them. The study uses a survey sample of Midwest United States business undergraduates (nearly all Generation Z). Each sample varies in experience levels: relatively high experience Uber respondents, very low experience TaskRabbit respondents, and medium experience for Airbnb. Results show that within Uber, the trust model predicts significantly better than the motivation model. Within Airbnb and TaskRabbit, the motivation model predicts only slightly better. By combining the trust and motivation variables into one model by platform, we find differing degrees of complementarity between the trust and motivation variables, with those for Airbnb being the most complementary in terms of predictive power and those for Uber being the least complementary. Within Airbnb and TaskRabbit, combining the trust and motivation models shows the two most significant variables were enjoyment and trusting intention. Within Uber, trusting intention and trusting beliefs in the provider were the most significant. We provide implications and directions for future research.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
CCC完成签到,获得积分10
1秒前
3秒前
哈哈圈圈完成签到,获得积分10
4秒前
华仔应助小邝少吃点采纳,获得10
4秒前
不加香菜完成签到 ,获得积分10
4秒前
淼淼完成签到 ,获得积分10
4秒前
5秒前
科研通AI6.4应助哒丝萌德采纳,获得10
5秒前
Jasper应助风清扬采纳,获得30
6秒前
缓慢的白开水完成签到,获得积分10
6秒前
6秒前
kkkk发布了新的文献求助10
6秒前
小西瓜完成签到,获得积分10
7秒前
Butter完成签到,获得积分20
7秒前
7秒前
7秒前
香蕉觅云应助ljx采纳,获得10
8秒前
皮卡丘完成签到 ,获得积分10
9秒前
徐宇鹏完成签到 ,获得积分10
9秒前
llly666发布了新的文献求助10
9秒前
mingjing发布了新的文献求助10
10秒前
小二郎应助hcc采纳,获得10
11秒前
EIEITY发布了新的文献求助10
11秒前
咪咪完成签到,获得积分10
12秒前
12秒前
Butter发布了新的文献求助10
12秒前
小二郎应助缓慢凝梦采纳,获得10
13秒前
风清扬应助文件撤销了驳回
13秒前
mob发布了新的文献求助10
13秒前
13秒前
墨鸮完成签到,获得积分10
14秒前
lili完成签到,获得积分10
15秒前
eyeland发布了新的文献求助10
15秒前
relevance完成签到,获得积分10
16秒前
彭于晏应助fzam采纳,获得10
16秒前
bkagyin应助XP采纳,获得10
16秒前
mm完成签到,获得积分10
19秒前
桑葚啊发布了新的文献求助10
19秒前
蓁蓁发布了新的文献求助10
19秒前
ding应助丁真采纳,获得10
21秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7221630
求助须知:如何正确求助?哪些是违规求助? 8851192
关于积分的说明 18677616
捐赠科研通 6880004
什么是DOI,文献DOI怎么找? 3187169
关于科研通互助平台的介绍 2351243
邀请新用户注册赠送积分活动 2161388