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Social and Behavioral Sciences

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2019

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Ecological Rationality: Fast-And-Frugal Heuristics For Managerial Decision Making Under Uncertainty, Shenghua Luan, Jochen Reb, Gerd Gigerenzer Jan 2019

Ecological Rationality: Fast-And-Frugal Heuristics For Managerial Decision Making Under Uncertainty, Shenghua Luan, Jochen Reb, Gerd Gigerenzer

Research Collection Lee Kong Chian School Of Business

Heuristics are often viewed as inferior to “rational” strategies that exhaustively search and process information. Introducing the theoretical perspective of ecological rationality, we challenge this view and argue that under conditions of uncertainty common to managerial decision making, managers can actually make better decisions using fast-and-frugal heuristics. Within the context of personnel selection, we show that a heuristic called Δ-inference can more accurately predict which of two job applicants would perform better in the future than logistic regression, a prototypical rational strategy. Using data from 236 applicants at an airline company, we demonstrate in Study 1 that despite searching less …

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Intraday Information From S&P 500 Index Futures Options, Kian Guan Lim, Chen Ying, Kian Leong Nelson Yap Jan 2019

Intraday Information From S&P 500 Index Futures Options, Kian Guan Lim, Chen Ying, Kian Leong Nelson Yap

Research Collection Lee Kong Chian School Of Business

In this paper we employ intraday transaction prices of liquid E-mini S&P 500 index futuresoptions to form 10-minutes ahead risk-neutral skewness forecasts and show profitable optionstrading strategy net of transaction costs. We do not find profitable trading based on 10-minutesahead risk-neutral volatility and only very marginal cases of profitable trading using kurtosisforecasts. The skewness profitability anomaly may be an indication of informational marketinefficiency in intraday S&P 500 futures options markets, which is contrary to findings usinglonger-span daily and weekly moments. Our results lend credence to the persistence of intradaytrading activities in the markets.

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Assessing Meaningful Within-Person Variability In Likert-Scale Rated Personality Descriptions: An Irt Tree Approach, Jonas W. B. Lang, Filip Lievens, Filip De Fruyt, Ingo Zettler, Jennifer L. Tackett Jan 2019

Assessing Meaningful Within-Person Variability In Likert-Scale Rated Personality Descriptions: An Irt Tree Approach, Jonas W. B. Lang, Filip Lievens, Filip De Fruyt, Ingo Zettler, Jennifer L. Tackett

Research Collection Lee Kong Chian School Of Business

Personality researchers and clinical psychologists have long been interested in withinperson variability in a given personality trait. Two critical methodological challenges that stymie current research on within-person variability are separating meaningful within-person variability from 1) true differences in trait level and 2) careless responding (or person unreliability). To partly avoid these issues, personality researchers commonly only study within-person variability in personality states over time using the standard deviation (SD) across repeated measurements of the same items (typically across days)—a relatively resource-intensive approach. In this article, we detail an approach that allows researchers to measure another type of within-person variability. The …

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Trading Regularity And Fund Performance, Jeffrey Busse, Lin Tong, Qing Tong, Zhe Zhang Jan 2019

Trading Regularity And Fund Performance, Jeffrey Busse, Lin Tong, Qing Tong, Zhe Zhang

Research Collection Lee Kong Chian School Of Business

We construct a new measure of trading regularity, capturing the extent to which investors trade on a regular basis. Institutional investors that regularly trade outperform those that trade less regularly. The performance of funds that regularly trade persists for at least a year. Among those who trade most regularly, larger funds perform relatively worse, because they incur higher transaction costs associated with their larger trades. Institutions that regularly trade generate superior performance, in part, by behaving as contrarians and by trading more aggressively on information. By contrast, we find no relation between trading regularity and performance among index funds.

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Facilitating Social Learning In Teacher Education: A Case Study, Emmy Vrieling, A Van Den Beemt, Maarten F. De Laat Jan 2019

Facilitating Social Learning In Teacher Education: A Case Study, Emmy Vrieling, A Van Den Beemt, Maarten F. De Laat

Senior Deputy Vice-Chancellor and Deputy Vice-Chancellor (Education) - Papers

It is increasingly recognised that social learning by teachers can stimulate professional development. In this study, we search for the social behaviour patterns which can act as a catalyst for professional development, with an explicit focus on student teachers' learning. Based on the 'Dimensions of Social Learning (DSL) Framework', including 4 dimensions and 11 indicators of social learning, the present study explores the social configuration of one network of primary teachers (n = 12), student teachers (n = 12) and teacher educators (n = 2). Two research questions guide this exploration: (1) What patterns of social behaviour in teacher networks …

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Beyond Time And Space: Using Ai To Solve Client Service Challenges Now And Into The Future, Rory L.L. Sie, Debra Nolan Jan 2019

Beyond Time And Space: Using Ai To Solve Client Service Challenges Now And Into The Future, Rory L.L. Sie, Debra Nolan

Senior Deputy Vice-Chancellor and Deputy Vice-Chancellor (Education) - Papers

One of the biggest challenges for libraries today is fulfilling client service requests 24/7. We have skilled staff in the Library during the day and evening, and LiveChat for those not able to visit in person, but what happens after hours? Who is there to help those who work shifts, have children, live on the other side of the planet or just prefer studying at 2am? Artificial intelligence (AI) promises an affordable solution, but will it provide the quality, flexibility and authenticity needed to ensure client satisfaction? Importantly, can the accuracy and veracity of responses be assured? At the University …

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