Social and Behavioral Sciences Commons^™

Payment Profiles: Using Payment Transaction Data To Identify And Characterize Gamblers, Kasra Ghaharian

UNLV Theses, Dissertations, Professional Papers, and Capstones

Payment providers in the gambling industry facilitate transactions, allowing customers to transfer money to and from wagering accounts. Payments transaction data is information that is captured from these transactions, including, for example, the type, amount, time, and location. How this data may be used for gambling harm minimization and prevention has garnered significant interest, particularly due to accelerated payments modernization in the wake of the COVID-19 pandemic. With this study, I explored the utility of payments transaction data to categorize subgroups of gamblers in order to identify individuals who may be at-risk of harm. I benchmarked six cluster analysis methods …

Who Are Our Fans: An Application Of Principal Component-Cluster Technique Analysis To Market Segmentation Of College Football Fans, Daniel A. Rascher, Kenneth Cortsen, Mark S. Nagel, Tiffany Richardson

Journal of Applied Sport Management

A 66-question online marketing survey of 2,800 football fans who had purchased tickets to a Division I, Power 5 (P5) university football game was conducted in order to understand the fan base and provide better services and targeted marketing. Principal Component Analysis was employed to combine responses from multiple questions about purchase behavior, on-site satisfaction, demographics, and other criteria. Subsequent market segmentation via cluster analysis indicated that 95% of the survey respondents could be categorized into one of five clusters. The identified fan perceptions and evaluations resulted in the P5 athletic department taking specific actions to improve targeted marketing activities …

Who Are The Older Adults Who Drown In Western Australia? A Cluster Analysis Using Coronial Drowning Data., Meg Abercromby, Dr Justine E. Leavy, Lauren Nimmo, Dr Gemma Crawford

International Journal of Aquatic Research and Education

Drowning amongst older people is a growing concern. Exploring demographic and other factors associated with unintentional drowning incidents amongst older adults may assist to identify key target groups and refine prevention strategies. This study sought to examine the heterogeneity of older individuals who have drowned and identify population subgroups in Western Australia (WA). A cluster analysis was used to segment the population by examining coronial data 2001-2018 (n = 93). Analysis identified four groups; 1) ‘men who boat & fish in company’ 2) ‘affluent men with poor health’ 3) ‘non-drinkers who boat and fish’, and 4) ‘older men, who slipped …

Is Going Green Worth It? Assessing Fan Engagement And Perceptions Of Athletic Department Environmental Efforts, Jonathan M. Casper, Michael E. Pfahl, Brian P. Mccullough

Journal of Applied Sport Management

The purpose of this study was to examine the extent to which environmentally themed activities within an intercollegiate sport context impact fan engagement. A total of 557 fans responded to an online survey measuring fan connection to the athletic department, environmental values, expectations for environmental activities, event and at home environmental behaviors, perceptions of profile enhancement, and recall of environmental sponsors and major initiatives. Results found that fans expected athletic department environmental action and they help with favorable perceptions about the athletic program and university and influenced at event and home behaviors. Cluster analysis identified two clusters based on high …

Finding The Ghost With The Machine: Breaking Through The Assessment Center Validity Ceiling By Exploring Decisional Processes Using New Sources Of Behavioral Data Within Virtual Assessments, Brett W. Guidry

Open Access Dissertations

Decades of assessment center (AC) research has resulted in an inevitable “validity ceiling” whereby increasing the validity of the AC method is becoming increasingly difficult. To overcome this challenge, new avenues for collecting and evaluating AC participant behaviors must be explored, with a particular focus on overcoming the inherent limitations of human observation—a hallmark of the AC method. This study examines detailed logs of AC participant behaviors captured automatically and unobtrusively during a computer-based simulation assessment. Using a decision making framework, basic characteristics of the new behavioral data are tested against existing theories of decisional efficacy. The construct-related validity of …

The Impact Of Age On Workplace Motivation: A Person-Centered Perspective, Keith Lynn Zabel

Wayne State University Dissertations

The present study used the person-centered approach to examine how profiles based upon six different age conceptualizations differentially impact workplace motivation. In the first known study to examine all conceptualizations of age simultaneously, results suggested the age conceptualizations of subjective age and health significantly impact growth motives for older workers, but not social or security motives. Results suggest social motives are influenced more by chronological age as opposed to other conceptualizations of age. Implications for practitioners in designing and implementing HR activities (e.g., succession planning) and researchers in utilizing all the conceptualizations of age and studying workplace interventions are discussed.

Situational Variables And Sustainability In Multi-Attribute Decision-Making, Bonnie Simpson, Scott Radford

Management and Organizational Studies Publications

Purpose

– The purpose of this study is to examine whether consumers demonstrate a multi-dimensional understanding of sustainability in their decision-making and addresses the situational influence of confidence and compromise on sustainable product choices.

Design/methodology/approach

– Using three choice-based conjoint experiments the authors examined the importance of sustainability, compromise and confidence to consumers across two contexts. Two-step cluster analyses were used to segment consumers based on the importance scores.

Findings

– Data indicates that the environmental dimension of sustainability is the most influential followed by economic and social. The responses suggest three distinct segments identified as self-focused, trend motivated and …

Segmenting Markets By Bagged Clustering, Sara Dolnicar, Friedrich Leisch

Faculty of Commerce - Papers (Archive)

We introduce bagged clustering as a new approach in the field of post hoc market segmentation research and illustrate the managerial advantages over both hierarchical and partitioning algorithms, especially with large binary data sets. The most important improvements are enhanced stability and interpretability of segments based on binary data. One of the main goals of the procedure is to complement more traditional techniques as an exploratory segment analysis tool. The merits of the approach are illustrated using a tourism marketing application.

Using Cluster Analysis For Market Segmentation - Typical Misconceptions, Established Methodological Weaknesses And Some Recommendations For Improvement, Sara Dolnicar

Faculty of Commerce - Papers (Archive)

Despite the wide variety of techniques available for grouping individuals into market segments on the basis of multivariate survey information, clustering remains the most popular and most widely applied method. Nevertheless, a review of the application of such data-driven partitioning techniques reveals that questionable standards have emerged. For instance, the exploratory nature of partitioning techniques is typically not accounted for, crucial parameters of the algorithms used are ignored, thus leading to a dangerous black-box approach, where the reasons for particular results are not fully understood, pre-processing techniques are applied uncritically leading to segmentation solutions in an unnecessarily transformed data space, …

A Review Of Data-Driven Market Segmentation In Tourism, Sara Dolnicar

Faculty of Commerce - Papers (Archive)

Clustering has become a very popular way of identifying market segments based on survey data. The number of published segmentation studies has strongly increased since the milestone publication on benefit segmentation by Haley in 1968. Nevertheless, numerous very fundamental weaknesses are permanently encountered when studying segmentation studies in detail, thus making the results reported more than questionable. This article illustrates how data-driven segmentation studies are typically conducted in the field of tourism research, provides a systematic overview of applications published in the last decades, outlines critical issues that often lead to overestimation of the validity of results and offers solutions …