Electro Mobility (eMobility) involves deploying Information and Communication Technologies (ICT) and electric technologies in vehicles to enable electric propulsion of vehicles referred to as Electric Vehicles (EVs). EVs are key infrastructure for achieving a sustainable energy future since EV usage can support in achieving CO2 reduction. However, the deployment of EVs for eMobility is highly dependent on data integration of mobility solutions from different stakeholders involved in urban transportation. Respectively, data integration from different mobility services will result to cost reduction and create valued added services to citizens. Therefore, there is need to achieve data integration not only for physical systems but for all domains in providing mobility related services that can be synergically applied to citizens and stakeholders in order to develop innovative solutions at district and urban level. Therefore, this study adopts Enterprise Architecture (EA) for digital transformations of eMobility services for sustainable transportation. Action research methodology was employed and secondary data from the literature was presented in the industrial data space reference architecture to initially validate digital transformation of electro mobility. Findings from this study reveal that EA support digital transformation of eMobility in managing data integration to support cities to implement sustainable transportation services.
{"title":"Applying Enterprise Architecture for Digital Transformation of Electro Mobility towards Sustainable Transportation","authors":"Bokolo Anthony Jnr","doi":"10.1145/3378539.3393858","DOIUrl":"https://doi.org/10.1145/3378539.3393858","url":null,"abstract":"Electro Mobility (eMobility) involves deploying Information and Communication Technologies (ICT) and electric technologies in vehicles to enable electric propulsion of vehicles referred to as Electric Vehicles (EVs). EVs are key infrastructure for achieving a sustainable energy future since EV usage can support in achieving CO2 reduction. However, the deployment of EVs for eMobility is highly dependent on data integration of mobility solutions from different stakeholders involved in urban transportation. Respectively, data integration from different mobility services will result to cost reduction and create valued added services to citizens. Therefore, there is need to achieve data integration not only for physical systems but for all domains in providing mobility related services that can be synergically applied to citizens and stakeholders in order to develop innovative solutions at district and urban level. Therefore, this study adopts Enterprise Architecture (EA) for digital transformations of eMobility services for sustainable transportation. Action research methodology was employed and secondary data from the literature was presented in the industrial data space reference architecture to initially validate digital transformation of electro mobility. Findings from this study reveal that EA support digital transformation of eMobility in managing data integration to support cities to implement sustainable transportation services.","PeriodicalId":416614,"journal":{"name":"SIGMIS-CPR","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114149972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E-commerce platforms have a plethora of information available online in the form of online product reviews and product ratings. Although these product reviews are very helpful to consumers for making their buying decisions, it becomes very difficult to extract relevant information pertaining to product features. In this study, we extend personalization to online product reviews by integrating literature from information systems, computer science and social psychology to understand how task complexity varies in different information environments. In a controlled laboratory experiment users took buying decisions in three different information environments: unstructured voluminous reviews, structured with aspect level summarization of reviews and personalized information by providing personalization based on the stated preferences of the user.
{"title":"Impact of Product Review Summarization and Personalization on Online Consumers' Decisions: An Experimental Study","authors":"U. MaheshBalan","doi":"10.1145/3084381.3084433","DOIUrl":"https://doi.org/10.1145/3084381.3084433","url":null,"abstract":"E-commerce platforms have a plethora of information available online in the form of online product reviews and product ratings. Although these product reviews are very helpful to consumers for making their buying decisions, it becomes very difficult to extract relevant information pertaining to product features. In this study, we extend personalization to online product reviews by integrating literature from information systems, computer science and social psychology to understand how task complexity varies in different information environments. In a controlled laboratory experiment users took buying decisions in three different information environments: unstructured voluminous reviews, structured with aspect level summarization of reviews and personalized information by providing personalization based on the stated preferences of the user.","PeriodicalId":416614,"journal":{"name":"SIGMIS-CPR","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116026598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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