Browsing by Author "Dominici, Gandolfo"

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Connecting smart mobility and car sharing using a systematic literature review. An outlook using Bibliometrix
(Elsevier, 2024) Vătămănescu, Elena-Mădălina; Dominici, Gandolfo; Ciuciuc, Victor-Emanuel; Vițelar, Alexandra; Anghel, Flavia Gabriela
Car sharing (CS) and smart mobility have emerged as pivotal components for a sustainable transformation in urban transportation, standing out as central topics in the discussions on sustainable mobility solutions. Nevertheless, the increasing interest from scholars, CS companies’ owners, and policymakers in car sharing services as a viable response to the sustainable urban transport has availed rather mixed considerations, thus calling for further scrutiny. The current endeavor thus seeks to advance a systematic literature review of the body of knowledge correlatively addressing the issues of various forms of smart mobility and car sharing. Four major research questions are envisaged, namely: What are the bibliometric characteristics of the literature related to smart mobility and car sharing? What is the focus of this literature in terms of key concepts? What are the limitations of the existing body of literature? and What are the implications of this literature in terms of future research avenues? With a view to providing pertinent answers, emphasis will be laid on the insights, critique, and transformative redefinitions of the literature in the field via a bibliometric analysis and structured theme-based review. The SPAR-4-SLR protocol is employed while the data retrieved from the Scopus database was processed with the Bibliometrix package (i.e., Biblioshiny) of the R study program. Derived from the thematic mapping and the identified clusters, six key research topics (i.e., car sharing through the lens of urban mobility management, innovative business models and governance, sustainable transportation and e-car sharing, smart mobility and multimodality, sustainable mobility, public transport, and collaborative consumption, climate change and electric vehicles and transport policy and automotive industry) are thoroughly discussed in terms of added value and limitations. The findings manage to clarify the multiplexity of links between the two constructs, by shedding light on the motor, basic, niche, emerging and declining themes which are worthy of further consideration within a structured research agenda. Additionally, they point to the fact that the issues of smart mobility and car sharing are still producing mixed or fragmented conclusions in terms of socio-economic, technological and environmental impacts, calling for further investigation. Manifold implications of the state-of-the-art in the field are brought to the attention of scholars and practitioners interested in achieving a better understanding and integration of car sharing and smart mobility in the broad transport ecosystem.
Unveiling e-learning and knowledge sharing during the pandemic: From expert skills perception to student satisfaction
(Elsevier, 2024) Dabija, Dan Cristian; Brătianu, Constantin; Dominici, Gandolfo; Vătămănescu, Elena Mădălina
The present undertaking seeks to explore the relationships between five main constructs, that is, e-learning, expert skills perception, knowledge perceived value, knowledge sharing and student satisfaction in the context of the COVID-19 pandemic. Even though there is a wide array of studies looking into the impact of the pandemic on the online teaching environment and on student satisfaction, this investigation is paving the way towards scrutinizing the role of expert knowledge in the overall equation. A questionnaire-based survey with 310 master students who participated to expert online lectures in various marketing and business administration classes in the context of the pandemic e-learning environment was carried out between March 2020 and May 2022. The results indicated that Expert Skills Perception explains 58.8% of the variance of Knowledge Perceived Value, while Knowledge Perceived Value and e-Learning Process explain 45.2% of the variance in Knowledge Sharing and Knowledge Sharing and e-Learning Process explain 65.6% of the variance in Student Satisfaction, defining a strong predicting power of the structural model. By addressing students' perceptions of the online education process which relies on expert knowledge sharing is liable to offer a reference point for conducting and enhancing similar endeavors even in the post-pandemic ‘new normal’.