Mobility, its current state and development perspectives in the future creates challenges with respect to sustainability, the first of which is the uncontrolled increase in greenhouse gas emissions in the last few decades, while road transport is one of the “sinners” creating long-term negative impact. The second is the dominance of car travel and car usage in the passenger transportation segment before the latest COVID-19 pandemic accelerated environmental problems. Although recent trends show new, greener patterns in consumption, there is still a relatively low share of consumers acknowledging the importance of sustainable and green preferences. This research study aims to investigate car sharing from users’ perspectives and to determine the most significant factors influencing their choice of sharing services to ensure upscaling of car sharing and, thus, contribute to urban sustainability. This research study contributes to the overall scientific discussion on car sharing and its role within urban sustainability, particularly with the following: (1) deeper investigation of car sharing and its users motivation perspectives in Latvia; (2) analyses of the most significant motivational factors for car-sharing users and aspects of sustainability; and (3) the insight into the generational differences triggering a number of car-sharing users. The existing and potential users of car sharing were surveyed in order to determine the motivational factors for its usage and attitudes towards it. Socio-demographic variables in statistical analysis were used to identify economic and environmental factors that meaningfully influence the choice of car-sharing services. The results of this study can support further development in new car-sharing business models and the value proposition for consumers in Latvia, as well as preparing policy recommendations on the promotion of sustainable transport. These findings are also useful to academics for the investigation of recent trends in car sharing during the COVID-19 pandemic.
This paper aims to identify the different idea management system (IMS) types impact on innovation capacity and to support companies in the selection of the most appropriate IMS approach. The main findings of the research indicate the following: First, the application of active IMS stimulates innovation culture more than the application of passive IMS. Second, the application of active IMS improves innovation potential more than the application of passive IMS. Third, the application of the internal IMS type provides higher innovation potential than the application of the external IMS type. Lastly, there is evidence that the application of active IMS accelerates innovation at a higher pace than the application of passive IMS.
Multiple information systems have been developed during the last decade to gain more from collaboration, knowledge management and ideas. One type of such tools is the idea management systems (IMS)-a manageable systematic tool to generate and evaluate ideas. However, there is a lack of research which explores what web-based IMS are, and how they materialize practically. To fill the gap, the paper aims to create classification and application description of webbased IMS by adapting the theoretical and empirical research approaches. To achieve this aim, first, scientific papers, book chapters, and proceedings focused on the idea management and IMS were analyzed using a systematic literature review method and content analysis technique. Based on the analyses, several possible classifications of IMS criteria were found. Second, commercially available web-based IMS evaluation was conducted to verify the criteria and to add data-based classification criteria. Analysis of IMS has helped to characterize parities and disparities of web-based IMS. Results prove that IMS could be classified by their application focus-as 'active' and 'passive'. Dominant type is the active IMS. IMS could also be classified by the sources involved in the idea management-internal, external or mixed IMS. The main structural features of the web-based IMS are idea generation, idea evaluation, and idea retention. Results prove that there are no important differences between theoretical and empirical research results.
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