This study aims to examine Millennials and generational differences in online gambling activity by comparing online gambling behavior across four different generations…
This study aims to examine Millennials and generational differences in online gambling activity by comparing online gambling behavior across four different generations: Silent Generation, Baby Boomers, Gen Xers and Millennials.
The sample comprised tracked gambling data at the individual player level provided by an online casino accepting real money wagers in a major US gambling market. Attributes of gambling behavior were examined and compared across different generations using Kruskal–Wallis test and pairwise comparisons.
Generational differences were observed in 13 of the 16 behavioral variables. Millennials spent the least amount of time on gambling and exhibited the lowest scores on the number of days for slot gambling, trip length and trip frequency among all generations. However, their average table gaming volume per play day was greater than those of other generations.
The results of this study provide a better understanding of the generational differences in online gambling behavior. They also help casino operators and gaming machine manufacturers develop casino games and products that can appeal to different generational groups in the online gambling market.
Despite the on-going industry discussion about Millennials and their potential influence on the online gambling market, there appears to be a paucity of empirical research on the online gambling behavior of the Millennial generation. This study fills that gap in empirical evidence, addressing generational differences in online gambling.
This paper aims to, considering the potential to generate additional revenue from cross-gamers, identify variables predicting predominant slot-players’ propensity to play…
This paper aims to, considering the potential to generate additional revenue from cross-gamers, identify variables predicting predominant slot-players’ propensity to play table games, as well as predominant table-game players’ propensity to play slots (cross-game play). Casino marketers often promote cross-game play through game lessons and coupons for game trial.
Logistic regression analysis was performed on the player data provided by a destination hotel casino on the Las Vegas Strip. Furthermore, the authors described how to estimate propensity scores, the probability of cross-game play, at the individual level, using a logistic regression equation.
Comparisons of cross-gamers versus non cross-gamers indicated that the amount of play and gaming values of cross-gamers were much higher than those of slot-only players. The results of a logistic regression analysis show that a player’s cross-gaming propensity can be predicted using gaming-related behavioral data. More specifically, cross-gaming propensities were associated with the frequency and recency of casino trips, the amount of money won or lost in gaming, player values to the casino, the duration of play and the length of a customer–casino relationship.
It is recommended that future research apply the model tested herein to other samples and investigate other predictor variables to develop a better predictive model for cross-game play.
The findings and the model introduced herein could help casino marketers identify players with cross-gaming propensity and develop more targeted strategies for customer-relationship management and database marketing.
This study is the first attempt to estimate the cross-gaming propensity at the individual level and offers detailed guidance on how to use the propensity scores for targeting specific customers.
The purpose of this study is to explore the impact of Wi-Fi service on the millennial generation’s loyalty to restaurants. Additionally, this study examines the impact of Wi-Fi service on three different types of restaurants (coffee shops, fast-food restaurants and casual dining restaurants). Furthermore, this study examines the similarities and differences that exist cross-culturally between Americans and Koreans.
A total number of 480 questionnaires were collected to empirically test the study model. A factor analysis that used a principal components analysis with varimax rotation was performed to condense the loyalty items into a few underlying constructs, and the Cronbach’s alpha was checked to test for reliability. A multiple regression analysis and t-test were performed to test the study hypotheses.
The results show that Wi-Fi service has a significant impact on millennials’ loyalty behavior on all three types of restaurants in this study. However, the differences between Americans and Koreans on how they perceive the Wi-Fi services turned out to be significant only for coffee shops.
The authors used a non-probability convenience sampling method for data collection. The findings cannot be generalized to other types of restaurants, such as fine dining and luxury restaurants. Although the results indicate a positive relation between Wi-Fi usage and a customer’s loyalty, loyalty is a multifaceted concept where a variety of factors, such as frequency or convenience can have an impact.
The findings should encourage marketers in the restaurant industry to use Wi-Fi as a value-added service for their customers.
There are limited studies on how significant Wi-Fi service is for the hospitality industry, and in particular, for restaurants. This study builds on the scholarship of Cobanoglu et al. (2012) on the value of the customer loyalty by providing new insights into customers’ views on Wi-Fi service in the restaurant industry.
研究目的 –本论文旨在探索Wi-Fi服务如何影响Millennial顾客的饭店忠诚度。此外, 本论文还研究了三种不同类型饭店的Wi-Fi服务（咖啡店、快餐店、以及休闲美食饭店Casual Dining）。本论文还比较美国人和韩国人在饮食跨文化上面的相似与差异。
研究样本为480份实际消费问卷。本论文采用因子分析法中的主成分分析和最大方差旋转方式来缩减忠诚度量表题项。本论文采用Cronbach’s alpha来检测量表可靠性, 采用多元回归分析和t-test来验证研究假设。
酒店行业中关于Wi-Fi服务影响的文章少之又少。本论文建立在Cobanoglu et al. （2012）研究基础上, 进一步对顾客忠诚度价值进行分析, 为饭店业Wi-Fi服务的顾客见解方面研究做出突出贡献。
跨文化 顾客忠诚度 饭店业 Millennials Wi-Fi