INFLUENCES ON THE TRUST IN PREDICTION MARKETS

2012 ◽  
Vol 3 (2) ◽  
pp. 1-20
Author(s):  
Thomas Seemann ◽  
Albrecht Enders ◽  
Harald Hungenberg

  Prediction markets are an innovative forecasting method that has proven high prediction accuracy in many areas. The method is, however, far from being established since many organizations are still reluctant to use the method. In particular the trust in the forecast results is a key challenge that negatively impacts the adoption of the method. To get a better understanding of what drives trust in prediction markets we analyzed the perceptions of prediction market users. We identify factors that influence the trust and quantified them in an empirical study. The study is based on user surveys in six experimental prediction markets. The influencing factors were evaluated using a structural equation model. The results demonstrate that participants who are highly engaged and perceive trading in prediction market as exciting and entertaining also put a higher trust in the market results.   

2016 ◽  
Vol 11 (2) ◽  
pp. 153
Author(s):  
Mohammed T. Nuseir

This paper provides an introduction about the field of international entrepreneurship on the export performance. Accordingly, the present study investigating the underlying dimensions of international entrepreneurship and empirically test a framework to identify the impact of international entrepreneurship on the exporting performance with special emphasize to Jordanian SMEs. The results of the study reveal that the international entrepreneurship for Jordanian SMEs had a significant impact on exporting performance. The significance of this study stems from the fact that lacks of studies have investigated on the impact of international entrepreneurship on the exporting performance. Also, it provides a reference for countries, firms and scholars interested in international business.


2020 ◽  
pp. 1-14
Author(s):  
Carolina Nicolas ◽  
Jaime Gil-Lafuente ◽  
Angélica Urrutia ◽  
Leslier Valenzuela-Fernández

The aims of this study is to propose a model for managing customer experience analytics focused on value generated in an online market, this study to explore touch points experience, measured with conventional indicators and fuzzy indicators, using to a structural equation model analysis and Mamdani inference method. The investigation has delved deeper into the nature of the value of the experience construct, the results revealed of the empirical study confirm regarding how the experience value is related with the key touch points of the customer/company relationship. Very few studies in the reviewed literature about the conceptualization on customer interactive experience focused on value generated in an online environment. This study becomes more relevant today, where, after the pandemic, the value of the online customer experience becomes more important.


2012 ◽  
Vol 2 (3) ◽  
pp. 33-46
Author(s):  
Thomas Seemann ◽  
Harald Hungenberg ◽  
Albrecht Enders

Prediction markets are considered as a promising new forecasting method that has proven high prediction accuracy in many areas such as politics, sports, and business-related fields. The method is, however, far from being established or even understood. The specific circumstances and market designs that lead to efficient prediction markets need to be further identified. This paper tries to statistically analyze the impact of certain factors in market design. In particular, we analyze the impact of the initial endowments provided to new market participants on the liquidity of prediction markets. Market operators can provide either a cash endowment or a combination of a cash and stock endowment. By evaluating two play-money prediction markets run in parallel during the FIFA World Cup 2006, we show that the stock endowments significantly foster liquidity in the market. We recommend operators of online game markets as well as corporate prediction markets to provide stock and cash endowment to participants instead of pure cash endowments wherever feasible.


2011 ◽  
Vol 282-283 ◽  
pp. 488-491
Author(s):  
Wei Wei Ye ◽  
Bing Bing Zeng ◽  
Xiao Jiao Chen

Based on the concept of dynamic capabilities(Teece,1997), the paper used three dimensions to interpret the dynamic capabilities for entrepreneurship, then built Structural Equation Model(SEM) to quantitatively study the relationships between dynamic capacities and entrepreneurship performance. The study found that the leadership as the element of the dynamic capabilities for entrepreneurship played the most important role for high performance.


2019 ◽  
Vol 42 (1) ◽  
pp. 79-91 ◽  
Author(s):  
Youkun Wang

Abstract This study aims to explore the relationship among autonomous learning ability, learning burnout and English grades by structural equation modeling. The survey of 481 non-English majors showed that autonomous learning ability, learning burnout and English grades correlated significantly with each other, and the structural equation model of the three variables was stable. This suggests that the stronger the autonomous learning ability, the lower the level of learning burnout, the higher the English grades. This empirical study shows that the autonomous learning ability of non-English majors can influence the level of learning burnout, which in turn influences English grades. Learning burnout can mediate the effects of autonomous learning ability on English grades.


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