Impact of a Student-Athlete Career Preparation Program on Athlete Alumni Affinity

Previous research has indicated the majority of athlete alumni do not give charitable donations to their alma mater or athletics department. With over 4 million former National Collegiate Athletic Association student-athletes, these athlete alumni should have an inherent affinity for their athletics department. The purpose of this research study was to examine the relationship between a student-athlete career preparation program (“Career Program”) and athlete alumni affinity for the athletics department. This study uses the theoretical framework of Social Exchange Theory to examine if an athlete alumni’s affinity for their athletics department increases when they receive support for their career launch. The quantitative quasi-experimental study had two groups of athlete alumni, career program varsity athlete alumni and non-career program varsity athlete alumni, who graduated from one large, public university at the Football Championship Subdivision level. The intervention of the Career Program was provided to one group of athlete alumni. An athlete alumni affinity questionnaire was developed and administered to both groups. The questionnaire received a low response rate with 71 respondents. The Pearson chi-squared test did not show a relationship between athlete alumni affinity and the Career Program. There was no statistical difference indicated between the two groups for the five latent variables of (a) career preparedness, (b) communication, (c) connection, (d) student-athlete experience, and (e) undergraduate experience. Two athlete alumni affinity statements did show significance, and they were related to student-athletes developing a LinkedIn profile and professional resume

Game Attendance in Luxury: Purchase Motivations of Suites and Club Level Seating in Division I College Football

At the Division I Football Bowl Subdivision (FBS) level, athletic departments generate revenues from ticket sales, and premium seating areas provide spectators with upgrades in exclusive parts of stadiums for a substantial fee. The focus of this study was to determine purchase motivations for college football premium seating, where emergent themes were discerned from data provided by actual premium seating users and expert athletic administrators. Results indicated the following prevalent themes (and sub-themes) on motivations to purchase luxury suites: experience (comfort and amenities, watching the game), entertainment (family and friends, corporate), prestige, and support. In club level seating, the results indicated purchase motivations included: watching the game (view, seat setting), upgraded amenities (climate comfort, food and beverages/alcohol), prestige, and support. Chiefly, the findings indicated college football premium seating spectators are distinct from general seating attendees, and expanded premium seating research beyond just administrator perceptions with corporate clientele in professional sport. Keywords: college football, FBS, luxury suites, club level seating, premium seating, attendance, motivators, sport consumer behavior, Division I, ticket sales &nbsp

Common Crowd Dynamics: Shaping Behavioral Intention Models

As the human population grows, so too does the need to understand human behavior. One particularly important aspect of human behavior is how it changes within conglomerations of people, i.e. crowds. In this thesis, a method for modeling crowd behavior is proposed. This method draws inspiration from the concept of behavioral intention and the related forces of attitudes, influences, and social norms. These topics are first defined and detailed, followed by a survey of related research. Next, the model is presented and adapted to three common crowd dynamics, each stressing a different component of behavioral intention. Observations are made about these models, and extensions to the models and directions for future research are considered

Classifying textual fast food restaurant reviews quantitatively using text mining and supervised machine learning algorithms

Companies continually seek to improve their business model through feedback and customer satisfaction surveys. Social media provides additional opportunities for this advanced exploration into the mind of the customer. By extracting customer feedback from social media platforms, companies may increase the sample size of their feedback and remove bias often found in questionnaires, resulting in better informed decision making. However, simply using personnel to analyze the thousands of relative social media content is financially expensive and time consuming. Thus, our study aims to establish a method to extract business intelligence from social media content by structuralizing opinionated textual data using text mining and classifying these reviews by the degree of customer satisfaction. By quantifying textual reviews, companies may perform statistical analysis to extract insight from the data as well as effectively address concerns. Specifically, we analyzed a subset of 56,000 Yelp reviews on fast food restaurants and attempt to predict a quantitative value reflecting the overall opinion of each review. We compare the use of two different predictive modeling techniques, bagged Decision Trees and Random Forest Classifiers. In order to simplify the problem, we train our model to accurately classify strongly negative and strongly positive reviews (1 and 5 stars) reviews. In addition, we identify drivers behind strongly positive or negative reviews allowing businesses to understand their strengths and weaknesses. This method provides companies an efficient and cost-effective method to process and understand customer satisfaction as it is discussed on social media

The Rangatahi court

It has become popular to use the marae setting as an alternative to the mainstream courts in dealing with young Māori offenders. The rationale is that taking young Māori offenders back to the marae to be dealt with in the youth justice system, encourages them to face up to their responsibilities and aids their rehabilitation back into the community. The expectation is that whānau will be present to support the young person and to help resolve his or her offending and bad behaviour. I supported this innovation when it was introduced but now I have second thoughts having seen that a marae that piloted this scheme was vandalised with graffiti painted on the marae buildings. In my view, when this happened the scheme to use marae should have ceased and an opportunity taken to rethink their use in this way. For a Māori the vandalism of their marae is like a physical assault on the person of their tupuna. This paper looks at the traditional role of marae in the Māori community and questions the use of marae as judicial settings. It suggests what needs to be done first to make this setting tika or appropriate

Travel based multitasking on the Mumbai Local and Metro : measurement, classification and variation

This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2019Cataloged from PDF version of thesis.Includes bibliographical references (pages 79-82).Review of travel based multitasking (TBM) behavior has shown that activities performed during travel is of growing interest in the field of transportation planning and mobility behavior. There is a lack of literature looking at this subject in cities in developing countries. This thesis examines TBM activities occurring on mass transit modes in the Mumbai Metropolitan Region. It takes the Western Line of the Mumbai Suburban Railway and the upcoming Line I and Ill of the Mumbai Metro as case studies to understand TBM activities in the Indian context. Firstly, this thesis calculates the influence of socioeconomic and trip-related variables on the occurrence of ICT-related and social TBM activities through a framework of Positive Utility of Travel (PUT). Secondly, it identifies the possible causes of variation of TBM among different socio-economic groups. Thirdly, it charts how policy and infrastructure decisions on the Mumbai Suburban Railway and the Mumbai Metro can be informed by ICT-related and social TBM activities performed by riders during on-board travel time. An on-board intercept survey of 196 riders conducted in August 2018 on the Western line of the Mumbai Suburban Railway was used to analyze revealed and stated preferences of TBM activities. Results of choice models were further deconstructed with insights from unstructured interviews. Age and willingness to pay per minute were the strongest predictors of TBM activities. Riders younger than 34 years of age on the Mumbai Suburban Railway and younger than 29 years of age on the Mumbai Metro were more inclined to engage in ICT-related TBM activities. Female riders displayed a higher tendency to socialize on mass transit when compared to male riders and frequently perceived general compartments on the Mumbai Suburban Railway as unsafe to perform ICT-related activities.by Karthikeyan Kuppu Sundara Raman.M.C.P.M.C.P. Massachusetts Institute of Technology, Department of Urban Studies and Plannin

Service Improvement Priorities of Train Transport Service: Evidence from Indonesian Economy-Premium Train

The Indonesian Railway Company (PT KAI) may have sustainable growth due to passengers' quality services. This study determines influential indicators and service improvement priorities for the economy-premium train in Indonesia using 284 respondents. An online questionnaire was used to collect data, while the sample was determined using judgment sampling methods. The study used the Exploratory Factor Analysis (EFA) and the Importance-Performance Analysis (IPA). The results show that passengers felt satisfied with the completeness of emergency equipment, security and safety, and professional train staff. However, they were not satisfied with TV show contents, food and beverage prices, and legroom on chairs. The EFA results show nine dimensions and 41 influential indicators of the economy-premium train service qualities. According to the IPA results, the service priorities that should be improved by PT KAI include the availability of internet access and the cabin facilities, especially TV show contents and legroom on chairs. These results can help PT KAI to increase its Customer Satisfaction Index (CSI) score to meet the respondents' expectations and increase the satisfaction and loyalty of the economy-premium train passengers

Empowering local citizens: assessing the inclusiveness of a digital democratic innovation for co-creating a Voting Advice Application

Increasing citizen dissatisfaction with democracy leads governments and municipalities across the globe to seek new ways of including and empowering citizens. Little is known about whether ‘Digital Democratic Innovations’ (DDIs) could contribute to this goal. We developed a new DDI in a Swiss municipality, dubbed Demokratiefabrik, where 1,079 citizens co-created a questionnaire that served as an official Voting Advice Application for candidates and voters in communal elections. We find that while sophisticated and allegiant citizens and left-green voters participated more in the DDI, they did not dominate the process of creating the questionnaire. Intriguingly, citizens with lower political trust were particularly active on the platform, suggesting that DDIs might give disenchanted citizens a new voice in the political process. Overall, carefully designed DDIs can be a venue for inclusive citizen participation, involving and empowering local citizens in decision-making