Differences in consumer intention to use on-demand automobile-related services in accordance with the degree of face-to-face interactions

Kim, Nooree; Park, Yuri; Lee, Daeho

doi:10.1016/j.techfore.2018.11.014

Cited by 37 publications

(20 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The quality of PGE's platform has an impact on the company's trustworthiness and willingness to employ its services. According to [11], these findings are in agreement. Second, if users have faith in platform providers and gig workers, they are more likely to use PGE services.…”

Section: Acdemic Rsearch Oppurtunitiessupporting

confidence: 76%

Identifying the critical factors of physical gig economy usage

Tripathi

Yadav

2022

ijhs

View full text Add to dashboard Cite

Since its inception, India's physical gig economy (PGE) has grown at a rapid pace. Sadly, there was a widening of the PGE service gap. Cleaning and mechanical services have had fewer transactions than ride-hailing services, which have a high volume of transactions. Studying PGE customers' motivations to use their services is the primary goal of this research. The research methodology and hypothesis were developed by synthesising previous studies on users' intentions. Platform quality, trust, social influence, perceived risk, hedonic incentive, and economic benefits are all regarded to have an impact on customer behaviour and intention. When it comes to determining whether or not a user will stick around and use a particular platform, hedonic motivation outranks everything else. PGE's early use is influenced by social influence exclusively, according to this study. Operators of PGE might use this information to craft effective plans for growing their business and luring in new customers.

show abstract

Section: Acdemic Rsearch Oppurtunitiessupporting

confidence: 76%

Identifying the critical factors of physical gig economy usage

Tripathi

Yadav

2022

ijhs

View full text Add to dashboard Cite

show abstract

“…In Davis et al (38), people perceived that they could increase their job performance by using specific information systems. In the case of on-demand carrelated services, Kim et al (39) examined the positive effects of PU on ATU for such services. A higher usefulness of transportation services was perceived, with a higher degree of ATU resulting in BI to use.…”

Section: Hypothesis Developmentmentioning

confidence: 99%

Examining Customers’ Critical Acceptance Factors toward Ridepooling Services

Werth

Sonneberg

Leyerer

et al. 2021

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

Ridepooling is a new mobility service mainly for people in cities and urban areas. By matching the routes of customers with similar start and end points while driving in an optimally pooled manner, meaningful reductions in road traffic and related emissions can be achieved. Such services must meet customers’ demands appropriately to achieve sustainable customer acceptance. Service providers face diverse customer expectations and prejudices that differ from those toward existing transportation modes. Today, most ridepooling trips are conducted with only one customer, confirming impressions of non-optimal operation. Using a survey-based approach, possible relevant constructs for the acceptance of and intention to use ridepooling services are analyzed. Testing constructs from the Unified Theory of Acceptance and Use of Technology 2 and environmental awareness, partial least squares analysis was performed with the software SmartPLS to investigate a dataset of 224 respondents. Results suggest that attitude toward use, perceived usefulness, and performance expectancy have an influence on the behavioral intention to use ridepooling services. In contrast, environmental awareness, price value, and effort expectancy do not have such an influence. The study expands the literature about customer acceptance of ridepooling service as well as new mobility services in general. Further, the paper provides research implications and recommendations for the development and implementation of the ridepooling concept for service providers.

show abstract

“…This inquiry explores how different partners see the conveyance of Ecosystem Service (ES) supply bundles over diverse scenes and how this contrasts with the ES request bundles they request. The level of face-to-face interaction between buyer and benefit supplier with the appropriation of on-demand services utilizing an expanded innovation acknowledgment model is introduced by Kim et al [28]. The authors focused on recently created car ondemand administrations.…”

Section: 3mentioning

confidence: 99%

Retailing and servicing strategies for an imperfect production with variable lead time and backorder under online-to-offline environment

Choi

Dey

Sarkar

2023

JIMO

View full text Add to dashboard Cite

<p style='text-indent:20px;'>Online-to-offline (O2O) retailing strategy is one of the trending topics in the business industry. The current study focuses on an advanced retailing strategy for a single item for a retailer and a manufacturer. Reminding the revolution in the internet world, a dual-channel retailing system is developed in this current study. The retailer offers their item through online and offline mode, though the producer prefers only offline mode. Besides, manufacturer provide different services to their clients through the product's life cycle to keep the company's brand image. The product's demand depends on the selling price and its service for both channels (offline and online) to their customers. To upgrade the services, some investments are implied to decrease the lead time. In expansion, to increase the demand and optimize the system benefit, the manufacturer gives their customers different services (unpaid, partially paid, full paid). The supply chain's benefit is optimized beside the ideal esteem of the decision variables. {Application of different service strategies in O2O retailing are near about <inline-formula><tex-math id="M1">\begin{document}$ 71\% $\end{document}</tex-math></inline-formula> beneficial compared to traditional supply chain. Numerical experiment proved that full-paid services are near about <inline-formula><tex-math id="M2">\begin{document}$ 79\% $\end{document}</tex-math></inline-formula> beneficial compare to partially paid service; however, partially paid services are recommended for industrial benefit.} Different numerical examples, exceptional cases, and sensitivity analyses were performed to prove the model's applicability along with graphical representations.</p>

show abstract

Differences in consumer intention to use on-demand automobile-related services in accordance with the degree of face-to-face interactions

Cited by 37 publications

References 68 publications

Identifying the critical factors of physical gig economy usage

Identifying the critical factors of physical gig economy usage

Examining Customers’ Critical Acceptance Factors toward Ridepooling Services

Retailing and servicing strategies for an imperfect production with variable lead time and backorder under online-to-offline environment

Contact Info

Product

Resources

About