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The purpose of this paper is to examine factors affecting the engagement metrics of the hotel Facebook page. Such factors include time-of-day, day-of-week, age, gender and distance between the hotel and users’ origin of residence. Another purpose is to assess the impact of Facebook engagement on electronic word-of-mouth (eWOM), to better understand the importance of the engagement metrics within the hotel Facebook context.

This study uses secondary data from the Facebook page of a 147-room hotel in Northeast America. A total of 181 observations reflecting primary Facebook metrics are adopted via Facebook Insights between January 2014 and June 2014.

The number of daily-engaged users positively affects the number of daily people talking about the page (eWOM). Moreover, the number of engaged users differs significantly by the external factors (time-of-day, day-of-week, age, gender and distance).

Hotel Facebook developers should post the most important promotions on Monday afternoon, targeting females aged between 25 and 34 years living within 50 miles of the hotel. Posting on hotel Facebook a few hours before “traffic” to avoid competition and gain visibility is important. Marketers should focus on giving feedback during peak times.

This empirical study extends prior studies on social media metrics to the effects of external factors on the engagement metrics within the hotel Facebook context. Increasing the number of engaged users improves the effectiveness of eWOM for a hotel, which lacks empirical evidence.

Parental job loss has been shown to have a negative impact on a large number of children's outcomes, in particular for low-income children. Given the amount of time freed up by loss of employment and the fact that active time with one's children appears to be a productive input in their human capital production function, increases in the time parents spend with their children have the potential to positively impact a child or to counteract other negative consequences of parental job loss. This chapter studies how low- and higher-income parents change their time investment in their children when faced with job loss. Using national time-diary data from the American Time Use Survey (ATUS) linked to longitudinal labor market data from the Current Population Survey (CPS), I find that parents spend almost 15% of the time freed up by job loss – roughly 3.5 additional hours per week – actively with their children. Low-income parents invest their freed-up time no differently from higher-income parents. While mothers who lose their job respond by spending more time actively with their children, this adjustment is much smaller for fathers. This suggests that differential adjustments in time investment may play a role in the impact maternal versus paternal job loss has on children's outcomes.

Examines the effect of weather and temporal factors on the total calls for service (CFS) at the Minneapolis Police Department. Aims at the eventual development of an instrument to predict short‐term variations in CFS over time ‐ a goal which at present is unique. Finds that CFS increase at times when individuals have less habitual routine activities, e.g. after dark; during vacation months. Suggests that temporal factors have much more impact than the weather. Points out some practical implications for the criminal justice system, e.g., future schedules can be adjusted for temporal variations, thus helping in the deployment of officers. Shows that accurate prediction of the overall number of CFS is possible when temporal and weather factors are used.

Investigating the day of week and hour of day temporal patterns of crime typically show that (late) nights and weekends are the prime time for criminal activity. Though instructive, mental-health-related calls for service are a significant component of police service to the community that have not been a part of this research. The purpose of this paper is to analyze calls for police service that relate to mental health, using intimate partner/domestic related calls for police service for context.

Approximately 20,000 mental health related and 20,000 intimate partner/domestic related calls for police service are analyzed. Intra-week and intra-day temporal patterns are analyzed using circular statistics.

Mental-health-related calls for police service have a distinct temporal pattern for both days of the week and hours of the day. Specifically, these calls for police service peak during the middle of the week and in the mid-afternoon.

This is the first analysis regarding the temporal patterns of police calls for service for mental health-related calls. The results have implications for police resourcing and scheduling, especially in the context of special teams for addressing mental health-related calls for police service.

In this chapter, we examine the impact of pay-for-performance incentives on learning-by-doing. We exploit personnel data on fruit pickers paid under two distinct compensation contracts: a standard piece rate plan and one with an extra one-time bonus tied to output. Under the latter, we observe bunching of performance just above the bonus threshold, suggesting workers distort their behavior in response to the discrete bonus. Such bunching behavior increases as workers gain experience. At the same time, the bonus contract induces considerable learning-by-doing for workers throughout the productivity distribution who presumably hope to one day hit the target, and these improvements significantly outweigh the losses to the firm from the bunching. In contrast, under the standard piece rate contract, we find minimal evidence of bunching and only small performance improvements at the bottom of the productivity distribution. Our results suggest that contract design can help foster learning on the job, underscoring the importance of dynamic considerations in principle-agent models.

The purpose of this paper is to decompose total customer value as perceived by department store shoppers into utilitarian, hedonic and social dimensions, and empirically test this conceptualization in a Finnish department store shopping context.

Data were collected by a questionnaire administered over three days at a department store that generates the second largest turnover in Finland. A total of 364 shoppers completed the questionnaire.

Empirical evidence supports our tripartite conceptualization of total customer value. In particular, social value is an independent construct. Further, social value varies by day‐of‐week, with a significant increase on Saturday (versus weekdays) when the store is more crowded, whereas no such differences in utilitarian and hedonic values were detected.

The principal contribution is a tripartite conceptualization of total customer value that incorporates utilitarian, social and hedonic value dimensions in a department store shopping context. Individually these dimensions are all well rooted in streams of consumer behavior literature, albeit mostly at the product or brand, not the store, level. Increasing our understanding of these softer aspects of shopping, particularly the social dimension, is important because they represent possible differentiating factors in the highly competitive and often commoditized retail markets.

This case study provides a new methodology for examining patron-initiated noise complaints in academic libraries by mining virtual reference chat transcript logs. The purpose of this study is to illustrate how noise complaints can be identified, analyzed and mapped to create a visual representation of the library’s soundscape.

This study reviewed 4,494 reference chat logs taken over four semesters at a large public university between August 2015 and May 2017. From these transcripts, the author identified 330 unique noise complaints and analyzed them by content, time of day, day of week, week of semester and floor of library. Complaints were also plotted on a library map to determine noise complaint hot spots.

Analysis of the noise complaints showed that 82 per cent of the reported incidents originated in designated quiet study zones and 55 per cent of the complaints occurred in the evenings when the library was more lightly staffed. Mapping the noise complaints revealed that most infractions were reported in areas where public computing areas and group study rooms were situated directly adjacent to designated quiet study areas.

Although there are numerous studies on noise in libraries and many published analyses of reference chat transcripts, this paper is the first to analyze chat transcripts for the purpose of studying noise complaints in the library. This paper is an expansion of a preliminary study presented at the 2016 Library Assessment Conference in Arlington, VA.

The burnout, stress, and work-life balance challenges faced by teachers have received renewed interest due to the myriad disruptions and changes to K-12 schooling brought about by the COVID-19 pandemic. Even prior to the pandemic, relatively little was known about teachers' time use outside of the classroom, the blurring of work and home boundaries, and how teachers compare to similar professionals in these regards. We use daily time-diary data from the American Time Use Survey (ATUS) for 3,168 teachers and 1,886 professionals in similarly prosocial occupations from 2003 to 2019 to examine occupational differences in time use. Compared to observationally similar non-teachers, teachers spend significantly more time volunteering at their workplace and completing work outside the workplace during the school year. On average, teachers spend 19 more minutes working outside of the workplace on weekdays than observably similar non-teachers and 38 more minutes on weekends. The weekend disparity is particularly large among secondary school teachers. This suggests that before the widespread switch to online and hybrid learning necessitated by the COVID-19 pandemic, teachers were already navigating blurrier work-life boundaries than their counterparts in similar professions. This has important implications for teacher turnover and for the effectiveness and wellness of teachers who remain in the profession.

Intraday volatility characteristics throughout the trading week are examined at the emerging Borsa Istanbul (BIST) stock exchange. Using five-minute (and 15-minute) intervals, accentuated intraday volatility patterns at the microstructure level are examined during the stock market open and close in the morning and in the afternoon sessions. Volatility is highest when markets open in the morning. The second highest is during the afternoon open. The third highest is before the market closes for the day. Volatility before the market close has increased in recent years. These characteristics are seen every trading day. There are also differences: Monday returns are lowest, Friday returns are highest, and Monday morning volatility is highest of the entire trading week. Day-of-the-week and intraday accentuated volatility smile anomalies are jointly investigated using the longest intraday sample period in the emerging country stock exchange literature. Investment companies and professionals can utilize the results for risk management and hedging by avoiding highly volatile opening and closing periods. Arbitrageurs, speculators, and risk takers should trade during these highly volatile periods. Heightened volatility is increased difficulty in price discovery, thus inefficiency. Market participants, exchanges, and public prefer efficient markets. The research presents evidence of trading days, and periods during the trading day, when the exchange becomes more efficient. This is the first research that explores day-of-the-week effect from intraday volatility perspective in an emerging market, and provides useful recommendations in designing risk management strategies at market microstructure level.

Two of the primary growth strategies for Major League Soccer (MLS) have been team expansion and the construction of soccer-specific stadiums. Therefore, the purpose of this paper is to determine the relationship between these factors and game-specific MLS spectator attendance.

Two multiple regression models, one using multi-level mixed effects linear regression and another using interval regression, were developed to explain the variation in attendance utilizing the two factors of interest along with other control factors that have been identified as attendance determinants in previous literature. Game-specific data were collected for five MLS seasons, 2007-2011.

The two regression models explained approximately 40 percent of the variation in spectator attendance and the results showed that expansion teams and soccer-specific stadiums were significantly related to attendance. However, the effect of soccer-specific stadiums was minimized due to the extreme success of the Seattle Sounders in drawing about twice as many fans as the next highest drawing franchise, yet playing in an American football stadium.

While many of the standard factors such as the presence of holidays and novelty players, competition from other professional teams, and day of week, competition from other professional teams; team quality failed to show significance. Expansion teams drew better than incumbent teams and the impact from soccer-specific stadia is weak given the success of the Seattle franchise (and possibly negative when excluding Seattle). Censoring of the dependent variable had a discernible impact on many of the attendance factors.

These findings may be useful to managers of MLS and their teams along with other professional teams and/or leagues that are investigating the use of either team expansion or the construction of new facilities to increase spectator attendance.

This is the first study to investigate the relationship between expansion and new stadium construction in MLS over multiple years. The results indicate that MLS’s decision to use team expansion and the construction of soccer-specific stadiums has been beneficial with respect to spectator attendance.