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Gamification is a booming motivational approach in information systems. Leaderboards play a key role in gamification; however, there are mixed findings regarding the heterogeneous motivational impacts of leaderboard positions. This study aims to clarify the motivational effects of high and low leaderboard positions by assembling diverse behavioral measures and self-reports. The measures used in this study shed a light on the quantitative and qualitative dynamics of motivation facilitated by leaderboard positions. The authors inspect motivation in relation to satisfaction and frustration of competence need.

The authors conducted an online experiment set in a crowdsourcing context, asking the participants to compete in an image tagging game. Participants' leaderboard positions were manipulated to be either high or low for five consecutive rounds. The number of clicks, tags, duration of tagging and persistence on the task were measured as indicators of motivation.

High ranks on leaderboards induced complacent behaviors choosing easy ways to maintain their positions, while low ranks led the participants to stick to the right process of the task with intensified motivation round after round. However, neither of the motivations seemed to be of intrinsic nature.

The present study provides conclusive evidence on the varying motivational impact of leaderboard positions. The authors also demonstrate how the “needs-as-motive” model (Sheldon and Gunz, 2009) applies to gamification. Its implications in self-determination theory and gamification literature are discussed.

Special purpose companies issue stocks to raise money to finance development of real estate and infrastructure. The advantage of a stock issue is that it does not entail financial cost such as interest on a loan. However, financing obtained in this way has been insufficient due to low interest by investors because of the large variability of the stocks’ earnings rates. The purpose of this paper is to propose methods to improve investment earnings rate for financing.

The proposed methods are Markowitz’s model and a combination of Markowitz’s model and Monte Carlo simulation. The proposed methods were verified by comparison with actual earnings rate.

The earnings rate was increased by as much as 23 percent over the actual value. Then, earnings rate compared with risk was analyzed using the Sharpe ratio which is a method to measure investment performance. The performance was also increased by as much as 23 percent over the actual value. The proposed method can help activate investment by increasing investors’ interest in the stock issue.

This study verified that Markowitz’s portfolio model, which is used for econometrics, could be applied for financing of construction project. It is valuable because the previous studies did not propose the method for financing.

The purpose of this study is to document how a traditional residential neighborhood, Ihwa village in Seoul, South Korea, is transformed into a tourist attraction and demonstrate the complexity of the overtourism phenomenon and the multifaceted conflicts among stakeholders that emerged in the course of urban transformation. Particularly, the study explores how tourism growth, urban transformation and overtourism are intertwined with each other and how the role of social media and media contributed to tourism growth and the transformation of an urban neighborhood.

The study conducted text analytics (a big data analysis) using personal blogs and news articles. Our data for text analytics was defined to retrieve all news articles and blogs existent in the NAVER portal, the largest Korean portal and search engine, for the period between January 1, 2006, and December 31, 2018. The data was collected using a web crawling program, TEXTOM version 3.0.

Text analysis of blog entries and news articles suggests that each medium has its unique role and domain to play. While the news media contributed to the initial surge of interest in Ihwa village, genuine growth of tourism in Ihwa village seems to be attributed to social media. Texts that appeared in blogs strongly indicated that people used their blogs to share their trip experiences, which can be subsequently assumed that blogs had an influential role in promoting a small place like Ihwa mural village, while news articles tended to highlight negative or unusual events occurred in Ihwa village. The study also addressed the multifaceted nature of the conflicts that were inherent in the issue of urban regeneration and how those conflicts were developed and manifested in the process of touristification and overtourism in Ihwa village. As touristification can manifest in various forms in different places, the case of Ihwa village demonstrates a unique development of touristification; private tourism companies or tourism agencies did not initiate or intend to cause tourism gentrification. Rather, touristification is a byproduct of urban revitalization through public art and is a result of interplay between the local government’s interest, social media and new tourist demand.

Text analytics using big data have rarely been attempted to understand the role of social media in relation to tourism growth and touristification of an urban tourism place. This study advances the literature by applying big data analysis to user-generated content in blogs. The study also contributes to the deeper understanding of a different developmental pattern of touristification in an urban tourism place as well as the complexity of the overtourism phenomenon and the multifaceted conflicts among stakeholders.