An Approach to Efficiency Evaluation of Services with Smart Attributes

Nowadays amount of “smart” services in e-Tourism is growing rapidly. This is due to widespread use of mobile devices with new input methods and large amount of digitized data. In addition, Internet of Things and Big Data analytics has a major impact on development of e-Tourism services and cultural heritage services. At the same time the smart services implementation requires complex methods and high cost of their creation. Thereby there is an actual problem to estimate efficiency of smart services. This paper presents an approach to efficiency evaluation of services with smart attributes. The evaluation is based on service's work time utilization and required manual work. For each used attribute the execution scenario, ordinary (non-smart) service for comparison and used estimates are defined. Each estimate is calculated by taking into account the user's experience. Presented approach is relevant for smart services with big data analytics. The demonstration of the approach was carried out using Cultural trip planning service with possible ordinary services.