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Benford's Law is an empirical observation about the frequency of digits in a variety of naturally occurring data sets. Auditors and forensic scientists have used Benford's Law to detect erroneous data in accounting and legal usage. One well-known limitation is that Benford's Law fails when data have clear minimum and maximum values. Many kinds of education data, including assessment scores, typically include hard maximums and therefore do not meet the parametric assumptions of Benford's Law. This paper implements a transformation procedure which allows for assessment data to be compared to Benford's Law. As a case study, a data quality assessment of oral language scores from the Early Childhood Longitudinal Study, Kindergarten (ECLS-K) study is used and higher risk data segments detected. The same method could be used to evaluate other concerns, such as test fraud, or other bounded datasets.

This study surveys professional niche sports sponsors in an effort to empirically understand what selection criteria these companies deem important when evaluating professional niche sports sponsorship proposals. Findings suggest that professional niche sports properties may possess unique attributes on which sponsors place very high levels of importance, such as cost effectiveness, flexibility in assisting sponsors achieve their objectives, a more targeted fan-base and decreased sponsorship clutter. Pragmatically, findings provide professional niche sports managers with tools that may be useful when competing for sponsorship funding against more established mainstream sports properties. Theoretically, the current study begins to fill a gap in the sports sponsorship literature which has primarily focused on mainstream professional sports, major intercollegiate sports and elite amateur sports such as the Olympic Games.

The purpose of this paper is to identify consumer profiles based on behaviour of runners at marathon races and to determine key drivers for their intention to revisit the marathon.

Participants of three marathons in Germany (Cologne, Bonn, Hanover) were invited via e‐mail to take part in an online survey after the race (n=1,370). They were questioned about the trip to the city, the marathon event, and their socio‐demographics.

The cluster analysis revealed three clusters that are named holidayers, socialisers and marathoners. The results of the logistic regression analysis show that the intention to revisit is determined by the length of the trip, the daily spending in the city, and the satisfaction with the event.

Non‐probability sampling represents a limitation of this study. Questions relating to the involvement and knowledge of running (first timer and repeat participant) could serve as valuable indicators to further differentiate between different types of runners.

It is suggested to offer special packages to the runners when they register for the race. One package could, for example, include the starting fee and two nights at a hotel. Moreover, the event organisers could offer more targeted side events such as athlete workshops on nutrition, training, and medical advice.

This paper offers an insight into different consumer profiles of marathon runners based on their behaviour and spending. Key indicators of the runner's intention to revisit the marathon are presented. This study contributes to close a research gap and allows marketers to better understand their consumers.

The purpose of this study was to examine stock price abnormal returns following title sponsorship announcement and event date of NASCAR, the PGA Tour, and the LPGA Tour. For this purpose, the authors used event study analysis where the analysis measures the impact that a specific event has on stock prices by comparing actual stock returns to estimated returns (Spais & Filis, 2008). An event study analysis demonstrated that title sponsors for the LPGA Tour and NASCAR garnered significant stock price increases on both the announcement date and the event date. The moderator tests suggested that high image congruence and high-technology related sponsorships assumed a key role in stock price increases.

There is lack of knowledge about how the existing streets need to be redesigned and the infrastructural changes that need to be made to adopt autonomous vehicles. The purpose of this study is to investigate the infrastructure requirements of autonomous vehicles in terms of (1) lane widths, (2) parking spaces, (3) drop-off zones and (4) other facilities, followed by analyzing them and suggesting changes in the existing urban design of Msheireb Downtown Doha (MDD).

Mixed method of combining both qualitative (secondary research of analyzing the existing data about the urban design guidelines for an autonomous future, observations of the existing infrastructure) and quantitative methods (on-site measurements of pedestrian walkways and road lane widths) is used.

The outcome of the research consists of a series of major infrastructural changes with regard to lane widths, parking spaces, pick-up and drop-off zones and other facilities needed for the deployment of autonomous vehicles.

The results imply that Qatar can benefit by adopting the proposed urban design suggestions for the implementation of autonomous vehicles on the streets of MDD in particular, and smart cities of Qatar and the region in general.

The proposed changes can work as a reference and serve as a possible setting for addressing Autonomous Vehicle preparations in emerging cities.

The proposed urban design changes can be adapted for an autonomous future in emerging cities.