As time went on, Constanta County has become one of the emerging poles of residential development in Romania, primarily due to its excellent positioning as an economic hub driven by international trade, doubled by a tourism potential with a high degree of long-term growth. In this context, performance measurement remains a constant concern of the entire economic sector that can ensure the progress of an entity. The purpose of this paper is to carry out a dynamic analysis over an 11-year period of the profit margin at the level of the economic agents in Constanta County whose main object of activity is, according to the NACE classification, Real Estate activities/transactions. In the analyzed period, the year 2015 stands out, in which the resumption of lending for large projects and the return of investor confidence in the real estate sector created a contagious euphoria on the market which, coupled with the income accumulated in the crisis by investors looking for profitable capital investments, led to the emergence of a wave of acquisitions, thus stimulating the real estate transactions market. Moreover, although the Coronavirus pandemic has affected the entire planet, more precisely all the economic sectors and the real estate market has not been an exception, the evolution of real estate transactions in the year 2020 was beyond the expectations of specialists in Romania, Romanians showing an appetite for this kind of transactions also in the year of the pandemic.

This paper aims to review recent work in IA research and to identify future research opportunities for consumer / tourism experience. The result of this study has provided potential directions for advancing the theoretical and managerial implications for tourism research. Mobile tourism is now a field of emerging areas for developing smart applications. They become personal mobile assistants for a user to receive referral services. This paper initiates a discussion on the issue of developing intelligent tourism services.

Machine learning (ML) is quickly emerging as a new discipline and resembles to be an attractive alternative to statistical methods in various industries. An appreciation of the possible applications of ML in digital marketing and eCommerce will be proposed in this article. The authors will examine qualitative determinant factors on brand logos and correlations on companies income, with profit, the number of employees, images and number of product images on eCommerce homepage. 1420 Romanian companies were analyzed in this research in order to identify specific factors that determines the success of an eCommerce business.

The increasing use of geotagged image and social context recognition in Social Media Marketing offer companies that are looking for using emerging AI Media solutions opportunities to post relevant content on each social network in order to drive the maximum engagement with their audience. This research aims to identify and further analyze the feedback of potential users of an AI-based platform for Social Media Marketing, regarding its capabilities focused on geotagged image and social context recognition. Through this hybrid quantitative-qualitative approach, marketing professionals from FutureWeb research team propose different causal configurations of forthcoming capabilities of the AI-based platform. Gaining visibility through brand related photo or video geotagged on social media; free advertising through tagging a location while people add an image containing a brand's logo; incentives given to geotagged images uploaded on social networks; richer behavioural data provided by geotagged image recognition features and capitalizing on location-based image recognition to predict consumer behaviour and improve services are analysed as antecedents of intention to test AI Media platform.

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