What drives customers to continue using ride-sharing apps during the COVID-19 pandemic? The case of Uber in Egypt

Gaber, Hazem Rasheed; Elsamadicy, Ahmed

doi:10.1080/23311975.2021.1944009

Cited by 30 publications

(19 citation statements)

References 61 publications

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“…It is worth noting that from the organizational point of view, the practices have been implemented by ride-sharing providers. Interestingly, market practices indicate that an appropriate approach to pricing issues as well as performance expectancy, facilitating conditions, and social influence are among the main factors influencing the use of ridesharing services during a pandemic [63]. What is more, regardless of customers, there is also the problem of the employees of ride-sharing services.…”

Section: Discussion: Open Innovation and Business Model Innovationmentioning

confidence: 99%

Business Innovations in the New Mobility Market during the COVID-19 with the Possibility of Open Business Model Innovation

Turoń

Kubik

2021

Journal of Open Innovation: Technology, Market, and Complexity

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The current difficult situation in the world caused by the spread of the COVID-19 virus has led to the development of problems in many branches of the economy. However, it has significantly affected transport, which on the one hand, is the bloodstream of the economy and, on the other hand, creates a threat for virus infection. Thus, in various countries, different mobility-related restrictions during pandemic policies around the world have been introduced. What is more, plans for initiatives after lockdown have also started to appear. Moreover, not have only cities introduced appropriate management policies, but companies have also started providing logistics services, especially those offering new mobility solutions. We found a literature and research gap indicating the recording or combination of the different types of business practices and innovations used worldwide in new mobility companies in the case of a pandemic situation. Therefore, this article is dedicated to the business innovations that appear in the new mobility industry during the COVID-19 pandemic in connection to post-pandemic transportation plans in Asia, Europe, and America. In this work, we conducted two-level research based on the desk research and expert research methodologies. From the business point of view, the results show that car-sharing systems (most organizational practices) and ride-sharing services (most safety practices) have most adapted their business models to pandemic changes. In turn, bike-sharing services have implemented the fewest business practices and innovations. From the urban transport systems point of view, the results show that European authorities have proposed the most plans and practice projects for new mobility after the pandemic compared to Asia and America. The obtained results indicate, however, that business practices do not coincide with the authorities’ plans for transport after the pandemic. Moreover, the results show a lack of complementarity between the developed practices and a reluctance to create open innovations in the new mobility industry. The article supports the management of new mobility systems in times of pandemic and in post-COVID reality.

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Section: Discussion: Open Innovation and Business Model Innovationmentioning

confidence: 99%

Business Innovations in the New Mobility Market during the COVID-19 with the Possibility of Open Business Model Innovation

Turoń

Kubik

2021

Journal of Open Innovation: Technology, Market, and Complexity

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“…Venkatesh et al (2012) extended the UTAUT to examine IT use in consumer behavior research by adding hedonic motivation, price value, and habit into the behavioral model. Scholars have found that these UTAUT variables can predict individuals' IT acceptance or continuing usage across a variety of settings, such as web-based learning (Chiu and Wang, 2008), online social networks (Sun et al, 2014), digital payment (Santosa et al, 2021), and ride-sharing apps (Gaber and Elsamadicy, 2021).…”

Section: The Utautmentioning

confidence: 99%

“…Previous empirical studies have found that performance expectancy, effort expectancy, hedonic motivation, social influence, and habit are among the most robust predictors of users' continuance intention of a certain technology (e.g. Gaber and Elsamadicy, 2021;Gan, 2016;Lin Online taskoriented check-ins Tam et al, 2020). They showed that when users perceived that the technology was more useful, easier to use, and more pleasant to use, when they perceived more social influence, and when they formed a habit, they would be more likely to continue using the technology.…”

Section: The Utautmentioning

confidence: 99%

“…Scholars have found that these UTAUT variables can predict individuals' IT acceptance or continuing usage across a variety of settings, such as web-based learning (Chiu and Wang, 2008), online social networks (Sun et al. , 2014), digital payment (Santosa et al., 2021), and ride-sharing apps (Gaber and Elsamadicy, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

What motivates people to continuously engage in online task-oriented check-ins? The role of perceived social presence

Sun

Liu²,

Wen³

2022

AJIM

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PurposeOnline task-oriented check-ins (i.e. OTOCs) are popular means of tracking personal progress in certain fields. This study focused on the use of OTOC platforms and explored the predictors of individuals' continuing usage intention.Design/methodology/approachA model was proposed to understand Chinese users' continuous intention of OTOCs based on the UTAUT framework. Perceived social presence was also incorporated as a predictor of continuance intention of OTOC platforms. A survey of 397 users of the OTOC platforms was conducted in Nanjing, China.FindingsPerformance expectancy, hedonic motivation, and habit had direct, positive influence on the continuous use intention, whereas effort expectancy and social influence were not significant predictors of continuance intention of OTOCs. Perceived social presence was a significant, indirect predictor of intention to continuously use the OTOCs, and the relationship was mediated by performance expectancy, hedonic motivation, and habit.Originality/valueThis study distinguished OTOCs from other modes of self-tracking and extended the UTAUT framework by incorporating perceived social presence as a predictor of continuous technology use in the context of OTOCs. This study also provided a deeper understanding of the interrelations between the explanatory variables of the model that have been identified as robust in previous literature on technology use.

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Factors to Form Business Strategy for Online-Based Ride-Sharing Services

Islam,

Khan,

Nahar

et al. 2024

Smart Innovation, Systems and Technologies

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What drives customers to continue using ride-sharing apps during the COVID-19 pandemic? The case of Uber in Egypt

Cited by 30 publications

References 61 publications

Business Innovations in the New Mobility Market during the COVID-19 with the Possibility of Open Business Model Innovation

Business Innovations in the New Mobility Market during the COVID-19 with the Possibility of Open Business Model Innovation

What motivates people to continuously engage in online task-oriented check-ins? The role of perceived social presence

Factors to Form Business Strategy for Online-Based Ride-Sharing Services

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