Consumers’ intentions to use ridesharing services in Iran

Akbari, Morteza; Moradi, Afsaneh; Seyyedamiri, Nader; Zúñiga, Miguel Ángel; Rahmani, Zahra; Padash, Hamid

doi:10.1016/j.rtbm.2020.100616

Cited by 27 publications

(22 citation statements)

References 86 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Further, the result contradicts the alternate view that subjective norms do not influence intention to share (Ratilla et al, 2021). A plausible elucidation for such an outcome is that the societal acceptance for ridesharing from the family, social circle or society in general acts as a crucial determining factor of ridesharing intention (Akbari et al, 2020).…”

Section: Discussionmentioning

confidence: 76%

“…, 2018), attitude (Abutaleb et al. , 2020), subjective norms (Akbari et al. , 2020; Cheung and Vogel, 2013), perceived behavioral control (Han, 2015; Roos and Hahn, 2019) and intention (Akbari et al.…”

Section: Methodsmentioning

confidence: 99%

“…Prior studies portray subjective norm as a significant predictor of intention, such as sustainable consumption intention (Matharu et al, 2021), electric vehicle adoption intention (Shalender and Sharma, 2021), waste separation intention (Ng et al, 2020) and recycling intention (Kumar, 2019). Furthermore, Abutaleb et al (2020) and Akbari et al (2020) revealed the positive effect of subjective norms on ridesharing intention among Egyptians and Iranians, respectively. These findings conclude that when people sense that their "referent ones" commend the ridesharing behavior, they are more likely to share their rides.…”

Section: Subjective Normmentioning

confidence: 98%

“…Although most of the studies in ridesharing behavior are conducted in developed economies, few profound observations are carried out in certain emerging economies such as China (Shao and Yin, 2019), Ghana (Boateng et al. , 2019), Iran (Akbari et al. , 2020) and Egypt (Abutaleb et al.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Determinants of on-demand ridesharing: the role of awareness of environmental consequences

Sajid

Zakkariya

Peethambaran

et al. 2022

MEQ

View full text Add to dashboard Cite

PurposeThe primary goal of this study is to determine the predictors of on-demand ridesharing intention in an emerging economy. For this purpose, the study uses the theoretical underpinnings of the theory of planned behavior (TPB).Design/methodology/approachThe study surveyed 347 frequent users of ridesharing services using a set of pre-validated scales. The resulting data were analyzed using covariance-based structural equation modeling (CB-SEM).FindingsThe results of SEM analysis disclosed that the significant factors contributing to ridesharing intention are awareness of environmental consequences, subjective norm, perceived behavioral control and attitude (towards ridesharing).Practical implicationsThis empirical research provides statistically robust insights for developing marketing strategies that attract more individuals toward ridesharing services.Originality/valueThis research has remarkable significance as it is one of the pioneering studies that critically examine the determinants of ridesharing intention from a South Asian emerging economy. Further, the extended TPB framework proposed in this study explains 71.4% variance in ridesharing intention, which is significantly higher than existing studies, with none of them explaining more than 70% variance.

show abstract

Section: Discussionmentioning

confidence: 76%

Section: Methodsmentioning

confidence: 99%

Section: Subjective Normmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Determinants of on-demand ridesharing: the role of awareness of environmental consequences

Sajid

Zakkariya

Peethambaran

et al. 2022

MEQ

View full text Add to dashboard Cite

show abstract

“…Current literature partially includes the variables introduced by us. Willingness to pay and willingness to use (Akbari et al, 2020) analyses usually introduce aspects, found in our accessibility indicator ( f 1 -f 5 ), as well as further variables, such as speed, customisation, or activities. Usage comparisons usually focus on a single mean and its' sharing.…”

Section: Discussionmentioning

confidence: 99%

Assessment Methods for Comparing Shared Mobility and Conventional Transportation Modes in Urban Areas

Nagy

Csiszár

2022

Period. Polytech. Soc. Man. Sci.

View full text Add to dashboard Cite

Shared mobility is an innovative and sustainable approach to passenger transportation, which has only recently emerged. In urban areas car-sharing, bike-sharing and other special vehicles (e.g., scooters) are popular. For greater distances, ridesharing is considered as a great option beside own private car usage or public transportation. We elaborated an assessment to analyse mobility modes. The research consists of two main parts. First, a wide spectrum of key variables is identified. We classified the variables among the following indicators: flexibility, comfort, and dynamic characteristics. These indicators support mode choice decisions. The second part is the model of service level. In the model, we included parameters to represent the importance of certain attributes. The model can be used to support mode choice decisions. We applied the method to analyse a simple urban mobility palette and place shared mobility within it. We found that shared mobility modes can be placed between private car usage and public transportation according to the aggregated indicators.

show abstract

Predictors of the Success of Yacht Charter in Andalusia from a Leading P2P Platform Using Machine Learning

Jiménez-Jiménez,

Sancha,

Martín-Álvarez

et al. 2024

Springer Proceedings in Business and Economics

View full text Add to dashboard Cite

Research related to the sharing economy in yacht charter is scarce compared to other tourism services such as accommodation, so more contributions are needed. Yacht rental has become essential in the tourist services of coastal destinations, providing important benefits. The vertiginous growth of the boat rental offer hosted on p2p platforms requires analysis, characterization, and search for product patterns that allow a better knowledge of it. The data obtained, based on machine learning techniques, can be used as predictors to detect which products are suitable for the growth and development of the sector in each Andalusian marina. The results provide a relevant contribution to the sector and the enrichment of the literature.

show abstract

Consumers’ intentions to use ridesharing services in Iran

Cited by 27 publications

References 86 publications

Determinants of on-demand ridesharing: the role of awareness of environmental consequences

Determinants of on-demand ridesharing: the role of awareness of environmental consequences

Assessment Methods for Comparing Shared Mobility and Conventional Transportation Modes in Urban Areas

Predictors of the Success of Yacht Charter in Andalusia from a Leading P2P Platform Using Machine Learning

Contact Info

Product

Resources

About