Search results

The main objective of this research is to unravel and analyze emergent technologies that are altering and improving the event industry. The study seeks to recognize the most vital technological advancement, uses and effects on event preparation, management and participant experience.

In this study, a narrative literature review method was used to examine emerging technologies in event management.

The research reveals that the emerging technologies examined in the articles affect and transform the event industry differently. Many of these technologies are currently being used in the event industry and are likely to be utilized in the coming years.

Numerous studies in the literature are related to the research field. However, as technology evolves rapidly, it is necessary to repeat studies at regular intervals. This article contributes to the literature by tracking new technological developments in the event industry.

The main purpose of this study is to detect homogeneous housing market areas among 196 districts of 5 major cities of Turkey in terms of house sale price indices. The second purpose is to forecast these 196 house sale price indices.

In this paper, the authors use the monthly house sale price indices of 196 districts of 5 major cities of Turkey. The authors propose an autoregressive (AR) model-based fuzzy clustering approach to detect homogeneous housing market areas and to forecast house price indices.

The AR model-based fuzzy clustering approach detects three numbers of homogenous property market areas among 196 districts of 5 major cities of Turkey where house sale price moves together (or with similar house sales dynamic). This approach also provides better forecasting results compared to standard AR models by higher data efficiency and lower model validation and maintenance effort.

In this study, the authors could not use any district-based socioeconomic and consumption behavioral indicators and any discrete geographical and property characteristics because of the data limitation.

The finding of this study would help property investors for establishing more effective property management strategies by taking different geographical location conditions into account.

From the government side, knowing future rises, falls and turning points of property prices in different locations can allow the government to monitor the property price changes and control the speculation activities that cause a dramatic change in the market.

There is no previous research paper focusing on neighborhood-based clusters and forecasting house sale price indices in Turkey. At this point, it is the first academic study.