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This study aims to understand how free-play credits affect risk-seeking behavior in slot players. Extant results suggest they encourage risk aversion, counter to the primary aim of increasing spend per visit. The results inform operators as to the effectiveness of what has become the primary play incentive for casino marketers within many of the world’s markets.

Within a quasi-experimental grouped design, 365 days of player-level performance data from four different casinos were analyzed to determine whether player losses (casino revenues) and time played differed on visits that included free-play redemptions from those that did not. Hypotheses were tested via paired-samples t-tests and Mann–Whitney U tests.

On balance, neither player losses nor time played were significantly different on the free-play visits. Neither the house money effect nor the endowment effect was supported. The results were most consistent with the prospect-theory-with-memory editing rule. No findings indicated increased risk-seeking behavior associated with the free-play offers.

Casino operators are afforded insight related to how costly free-play campaigns affect gaming spend and playtime. Both are critical to understanding the impact of free-play on the gambler’s experience.

The 365-day samples extended existing research by analyzing the impact of free-play offers on risk-taking behaviors within the scope of a perpetual/ongoing campaign. Comparisons of observed daily behavior/outcomes were made between separate tiers of like-kind gamblers from each of four different casinos. Quasi-hedonic editing rules were applied to a multistage decision framework.

This paper examines whether target returns act as specific goals that impact risk-taking when individuals make investment decisions.

Using an experimental setting, the authors assign either a low or a high target return to participants and ask them to make independent investment decisions as the risk-free rate fluctuates around their target return and, for some of them, becomes negative.

Building on cumulative prospect theory, the authors find that the prevailing reference point of participants is the target return, regardless of the level of the risk-free rate. This result still holds even when the risk-free rate is negative, suggesting that (1) the target return drives risk-taking more than does a zero-threshold and (2) negative rates are limited as a tool to stimulate appetites for risk. In a follow-up study, the authors show that these conclusions remain valid when the target return is endogenously determined.

The authors' original approach, which pioneers the use of target returns in both the positive and negative interest rate contexts, provides insightful results about the “reach for yield” among regular people.

The purpose of this paper is to examine how individual risk preference influences the borrowing of payday loans – a prevalent type of cash loan in the USA with exorbitantly high-interest rates. Additionally, this paper tests how risk preference determines other alternative financial services (AFS), including pawn shops, rent-to-own purchases, title loans, etc.

The author applies Probit and Tobit regressions to test the relationship between individual risk preference and payday borrowing, based on the state-by-state survey data from National Financial Capability Study (NFCS) sponsored by Financial Industry Regulatory Authority (FINRA) Investor Education Foundation.

Individuals with higher risk tolerance are more likely to borrow payday loans and other AFS, after controlling for financial situation, financial literacy, overconfidence and demographic features.

This paper is the first to study risk preference as an explanation to the high cost and widely used payday loan services in the United States of America. This study provides evidence that these cash loans are determined by inherent human characteristics. The finding provides new insight for the policymakers and regulators in the consumer debt market.

As an alternative to hiring financial specialists or investment consultants, robo-advisors offer financially automated investment services. This study aims to investigate how robo-advisors' service attributes, risk attitude and financial self-efficacy influence customers' choice preferences of adopting robo-advisors.

Two hundred fifty-one online surveys were used to collect data, and choice-based conjoint analysis was conducted.

Results show that increasing annual fees negatively impact customers' choice preferences. Promotion, general investment education and additional human assistance have a positive impact. Furthermore, risk-seeking and risk-averse customers require more human assistance than risk-neutral customer and customers with high levels of financial self-efficacy prefer more general investment education and additional human assistance than those with lower levels. In addition, customers in the older age group prefer promotion, general investment education and additional human assistance, while wealthy customers prefer lower annual fees, higher general investment education and more additional human assistance compared to middle-class and low-income groups.

This study contributes to robo-advisor providers to provide appropriate service attributes for each customer group.

Few studies utilize insurance sector data to analyze how insurers' competitiveness affects their risk-taking decisions. To fill the research gap, this study aims to investigate the relationship between insurers’ competitiveness and risk-taking decisions.

This study employs unbalanced panel data for the US property-liability insurance companies from 2006 to 2019. Two-Stage estimation is applied to address the endogeneity issue, such as the Two-Step Generalized Method of Moments, General Two-Stage Least Square and Two-Stage Quantile Regression.

The regression analysis reveals that insurers' competitiveness in their risk-taking decisions is primarily negative. The finding suggests that insurers with low (high) competitiveness tend to take more (less) risk. This study sheds light on how insurers with low competitiveness may alter their risk preference, supporting the fundamental argument of the prospect theory, the CEO hubris argument, the risk-return theory and the risk-sensitivity theory.

The critical findings of this study provide policy implications when evaluating and drafting insurance legislation. Regulators must pay close attention to insurers' riskier decisions while insurers with low competitiveness or during periods of economic recession.

This research contributes to the literature by assessing whether insurers' competitiveness influences their risk-taking decisions. The empirical findings suggest that insurers with low competitiveness take on greater risks to gamble for survivability and boost profits to strengthen their financial standing. The evidence indicates that insurers may risk-seeking or irrational decision-making when facing a competitive disadvantage.

This research aims to understand how organizational workplace meetings surrounding the COVID-19 pandemic impacted logistics Airmen across the United States Air Force and how these meetings impacted their risk seeking behavior on social media.

This survey research tested an extended Planned Risk Information Risk Seeking Model (PRISM) with organizational meetings as an antecedent to determine if current meetings influenced an Airman's perceived behavioral control, attitude toward seeking, subjective norms, knowledge sufficiency and intention to seek information regarding COVID-19.

Results of the CFA showed that the expanded PRISM model had good model fit. Additionally, using a custom dialog PROCESS macro in SPSS, it was found that perceptions of existing meetings were directly, positively related to attitude toward seeking, subjective norms and perceived behavioral control, and indirectly related to knowledge sufficiency threshold and information seeking. Theoretical and managerial implications are discussed.

This research adds to the limited body of knowledge of crisis communication and effectively expands the PRISM model to include an antecedent that helps explain information seeking during times of uncertainty.

Judiciary plays a pivotal role in the overall development of a nation's economy and its involvement assures process transparency and impartiality. However, litigation is often expensive, uncertain and prone to delays. Notwithstanding such inherent challenges associated with litigation, it is observed that parties in construction disputes do resort to litigation. This study attempts to understand the potential paths triggering litigation of contractual disputes in construction. While extant researchers have identified focus areas or factors influencing litigation, the underlying paths connecting these focus areas, leading parties to litigation, is explored in this study.

Considering the framework of Rachlinski's “framing theory of litigation” and the mixed-methods approach (qualitative and quantitative approaches), this study proposes and validates a model that identifies the paths to litigation of contractual disputes in construction.

The results of in-depth interviews, followed by validation through structural equation modelling (SEM), reveal four critical paths, namely positional focus (PF) – contract and dispute characteristics (CDC) – decision to litigate (DTL), milieu influence (MI) – CDC – DTL, MI-PF-DTL and CDC-DTL.

The identified paths highlight the areas policymakers can consider while developing policy interventions to mitigate litigation.

Researchers have identified factors causing litigation in construction. However, attempts to examine the existence of multi-factor “paths” on the decision to litigate (DTL) have hitherto received a muted response, so this study focuses on identifying the project-level path(s) leading to the litigation of contractual disputes in construction.

This study aims to investigate the effect of risk tolerance on the individual choice of adopting Bitcoin in the form of making and receiving payment and receiving compensation.

The study uses data collected from an anonymous survey of 225 undergraduate and graduate students to measure their risk attitude using the general risk-taking propensity scale proposed by Zhang et al. (2018) and the risk-taking index, proposed by Nicholson et al. (2018). After controlling for a variety of personal traits, the study uses logistic regression to identify the predicted probabilities and marginal effects on individual choice of adopting Bitcoin.

The findings of this study suggest that individuals with a higher risk-seeking attitude are more likely to choose to receive payment for goods they sell in Bitcoin and more likely to choose to receive a portion of their compensation in cryptocurrency. Individuals in the higher-income groups are more likely to adopt Bitcoin 46% and 65% than their lower 14% and 45% and middle income 4% and 18% counterparts. While there was no statistically significant difference between males and females in adopting Bitcoin, respondents between the age of 26 and 29 were more likely to adopt Bitcoin. The effect on receiving gold was slightly smaller but highly comparable to that of receiving Bitcoin, which highlights a similar perception of risk toward the Bitcoin and gold.

The study uses a new data set collected by surveying 225 individuals and two different risk measurements to identify the relationship between perceived risk and Bitcoin adoption.

Despite the availability of amicable means to resolve construction disputes, litigation remains a mainstream dispute resolution process in some countries. This tendency to litigate (TTL) calls for research to develop appropriate precautions to encourage stakeholders to resolve most commercial disputes through alternate dispute resolution (ADR) techniques. While a claimant's TTL arise from the individual, project and organisation preferences, this study, which can benefit both potential claimants and employers by saving time and money on litigation, identifies a bidder's financial parameters that may increase its litigation propensities, as a first step towards aiding employers to incorporate precautions to discourage such tendencies.

After the literature review, the theoretical construct proposed by Rachlinski's “framing theory of litigation” (based on Kahneman and Tversky's Prospects Theory) is used to explain organisation-level litigation decision-making. The study sources data from the financial statements of Indian construction/real estate firms, followed by panel regression analysis to test the theoretical construct's validity.

The results show that the TTL (risk-seeking behaviour) generally increases with a lower value of sales, higher assets and profitability. Interestingly, organisation-level cash flow shows an insignificant influence on litigation tendencies.

Knowing which financial parameters may increase litigation tendencies could help employers evaluate a bidder's propensity to litigate project disputes.

Researchers use financial statements to explore correlations among financial variables. However, in the construction context, there are no empirical studies with data from construction firms to understand potential litigation expenses compared to specific financial ratios.

Under the background of low consumer financial knowledge and accumulated credit card liabilities, this study investigates the relationship between financial knowledge and responsible credit card behavior using data from the 2019 China Household Finance Survey (CHFS). From the perspective of consumer economic well-being, this study defines accruing credit card debt to buy houses and cars when loans with lower interest rates are available as irresponsible credit card behavior.

This study uses probit regressions to examine the association between financial knowledge and responsible credit card behavior because the dependent variable is a dummy variable. To alleviate endogeneity problems, this study uses instrument variables and Heckman’s two-step estimation. Furthermore, to explore the potential mediators in this process, this study follows the stepwise regression method. Finally, this study introduces interaction terms to examine whether this association differs in different groups.

The results indicate that financial knowledge is conducive to increasing the probability of responsible credit card behavior. Mediating analyses reveal that the roles of financial knowledge occur by increasing the degree of concern for financial and economic information and the propensity to plan. Moderating analyses show that the effects of financial knowledge on responsible credit card behavior are stronger among risk-averse consumers and in regions with favorable digital access.

This study measures responsible credit card behavior from the perspective of the consumer’s well-being, which enriches practical implications for consumer finance. Furthermore, this study explores the potential mediators influencing the process of financial knowledge that affects responsible credit card behavior and identifies moderators to conduct heterogeneous analyses, which helps comprehensively understand the nexus between financial knowledge and credit card behavior. By achieving these contributions, this study helps to curb the adverse effects of irresponsible credit card behavior on consumers’ well-being and the economic system and helps policymakers promote financial knowledge to fully prevent irresponsible credit card behavior.