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Fatigue effects related to answering a sequence of choice tasks have received much scrutiny in the stated choice experiments (SCE) literature. However, decision fatigue related to the time of day when respondents answer questionnaires has been largely overlooked in this literature even though time of day related fatigue effects are well known in the psychology literature. The purpose of this paper is to hypothesize that variations in the time of day when respondents answer an online food choice experiment will translate into observable fatigue effects in the food choices.

An empirical SCE concerning food choices is conducted using a web-based questionnaire for interviews in a pre-recruited online panel of consumers. Timestamps collected during the online interviews provide knowledge about the time of day at which each respondent has answered the survey. This information is linked with knowledge from a food sociology survey on typical meal times as well as biophysical research linking food intake to blood sugar and mental energy in order to generate a proxy variable for each respondent’s level of mental energy when answering the food choice tasks in the questionnaire.

Results show evidence of a time of day effect on error variance in the stated food choices as well as the subsequently estimated market share predictions. Specifically, respondents provide less consistent answers during the afternoon than at other times of the day.

The results indicate that time of day can affect responses to an online survey through increased fatigue and correspondingly less choice consistency. Thus, especially online surveys might account for this in data analysis or even restrict accessibility to the online survey for certain times of day.

This research investigates how consumers who are most active on Facebook during the day vs in the evening differ, differ in their ad consumption, and how advertising effects vary as a function of a key moderator: gender.

Using a survey of 281 people, the research identifies Facebook users who are more intensely using mobile social media during the day versus in the evening, and measures five Facebook mobile advertising outcomes: brand and product recall, clicking on ads, acting on ads and purchases.

The results show that women who are using social media more intensely during the day are more likely to use Facebook to seek information, hence, Facebook mobile ads tend to be more effective for these users compared to those in the evening.

This contributes to the literature by analyzing how the time of day affects social media behavior in relation to mobile advertising effectiveness, and broadening the scope of mobile advertising effectiveness research from other than just clicks on ads to include measures like brand and product recall.

By analyzing the effectiveness of mobile advertising on social media as a function of the time of day, advertisers can be more targeted in their media buys, and so better use their social media budgets, i.e. advertising is more effective for women who use social media (Facebook) more intensely during the day than for those who use social media more intensely in the evening as the former tend to seek more information than the latter.

This research extends media ecology theory by drawing on circadian rhythm research to provide a first demonstration of how the time of day relates to different uses of mobile social media, which in turn relate to social media mobile advertising consumption.

While research on social media advertising has been steadily increasing, little has been explored on how users consume ads when they engage with social media at different periods along the day. This paper extends media ecology theory by investigating time of day, drawing on the circadian rhythm literature, and how it relates to social media usage.

Purpose – Departure time choice not only depends on the desire to carry out activities at certain times and places; it is a complex decision making process influenced by travel conditions, congestion levels, activity schedules, and external trip factors. To estimate departure time choice models capturing the factors influencing it in appropriate form, a complex data collection procedure allowing to obtain detailed input data from different sources and at different time periods is required.

The main aim of this chapter is to describe and discuss the survey methodology we used in a time-of-day choice project, involving the collection of revealed preference (RP) and stated preference (SP) data to estimate hybrid discrete departure time choice models incorporating latent variables. Preliminary model results are also presented as an example.

Methodology/approach – Data was obtained from 405 workers at different private and public institutions located in the centre of Santiago, Chile. The survey process had three different stages and used various collection methods (e-mail, web-page, and personal interviews at the workplace) in order to satisfy efficiency, reliability and cost criteria.

The RP component survey design was based on the last origin-destination survey implemented in Santiago (i.e. a travel diary filled under an activity recall framework). Relevant level-of-service measures at different time periods were obtained from GPS data measured from instrumented vehicles in the public and private transport networks. A SP-off-RP optimal design considering dependence among attribute levels was also developed. Finally, several 1–7 Likert scale questions were included to incorporate the latent variables.

Findings – The survey methodology described in this chapter represents a successful experience in terms of collecting high quality data, from different sources, with the aim of estimating appropriate time-of-day choice models. The data collection process was carried out in different stages, by means of web pages, email, and personal interviews. The data was further enriched with level-of-service attributes measured at different times of the day with unusual precision. Preliminary results reported in this chapter show that data obtained through this methodology are appropriate to model time-of-day choices.

Originality/value of chapter – The novelty of the survey methodology described in this chapter is the collection of data of a different nature for time-of-day choice modelling through the integration of different collection techniques.

Acquisition of very precise information about preferred departure/arrival times, level of service at different times of the day, detailed information about flexibility in schedules, employment information and attitudes towards departure times, should allow practitioners to estimate hybrid time-of-day choice models incorporating latent variables.

Ramadan intermittent fasting (RIF) has produced heterogeneous and domain-specific effects on cognitive function. This study aims to investigate the effect of RIF on verticality perception or estimation of subjective visual vertical (SVV) in young adults. The significance of SVV is that it is essential for spatial orientation, upon which many daily activities depend.

Verticality perception was assessed with a computerized rod and frame test (CRFT) in two visual conditions: without a surrounding frame and with a distracting tilted frame. The tilted frame condition measures level of visual dependence or reliance of visual cues for posture and orientation. In total, 39 young adult men were recruited at different stages of Ramadan fasting: 21 were tested at the end of the first week (Week 1) and 18 others at the end of the third week (Week 3) of Ramadan. Also, 39 participants were recruited to serve as a non-fasting control group. Factorial ANOVA analyses were conducted to identify the main effects of fasting status, time-of-day and the interaction between them on blood glucose levels, nocturnal sleep duration and vertical alignment errors.

The main effect of fasting status on glucose level was significant (p = 0.03). There was a significant time-of-day main effect on glucose levels (p = 0.007) and sleep duration (p = 0.004) only in fasting participants. Neither the main effects of fasting status nor time-of-day were significant for rod alignment errors in both visual conditions. The interaction of fasting status and time-of-day was not significant either. This may indicate that any negative effect of Ramadan fasting on activities that are critically dependent on verticality perception and spatial orientation, such as sports and driving, may not be due to verticality misperception.

The present study was the first to investigate the effect of Ramadan fasting on spatial orientation. It demonstrated robustness of verticality perception to fasting status and the point of fasting during Ramadan. Verticality perception was also unaffected by time-of-day effects in non-fasting and fasting groups at two different points of Ramadan. This study corroborates others reporting heterogeneous effects of Ramadan fasting on cognitive function.

The purpose of this paper is to synthesize, organize, and discuss multidisciplinary research influential to a service firm's use of a cyclical time‐based marketing approach that may be aptly termed time‐of‐day services marketing, to introduce a general process and framework to assist in the evaluation of its strategic use, and to present areas in need of future research.

Objectives are achieved via conceptual analysis and a synthesis and organization of the relevant multidisciplinary literature.

The paper finds that the principal benefits to service firms of adopting a time‐of‐day services approach in varying degrees are that it is able to assist the firm in offering multiple, unique value‐propositions, providing superior contextual value to the customer, enhancing customer perceptions of value in relation to their needs, and supporting the firm's pursuit of a sustainable competitive advantage in its services.

Time‐of‐day services marketing is a viable approach for some firms but is not a strategy to be pursued by all firms. Service industry executives and managers should carefully weigh its adoption in terms of an overarching framework to identify the best services strategy for their marketing and business objectives.

Time‐of‐day services marketing has received little strategic attention in the services marketing literature. Furthermore, there is no good, published source of guidance to help service industry executives and managers make decisions about the extent that such an approach may present opportunities for value creation and competitive advantage. This paper addresses these voids by providing and discussing a comprehensive set of multi‐disciplinary factors, process, and framework that facilitate its evaluation for strategic adoption. Theoretically, the research contributes to the body of services marketing knowledge by altering the services marketing view of the “day” to be one that can be increasingly examined as less‐constant in terms of many service‐relevant individual and social behaviors, more systematically varying, and increasingly explainable on biological/physiological, sociological and/or psychological bases which are ultimately highly relevant to services marketers

To address the safety concerns generated by truck crashes occurred in big cities, this paper analyzes the zip code tabulation area (ZCTA)-based truck crash frequency across four temporal intervals – morning (6:00–10:00), mid-day (10:00–15:00), afternoon (15:00–19:00), and night (19:00–6:00) in New York City in 2010. A multivariate conditional autoregressive count model is used to recognize both spatial and temporal dependences. The results prove the presence of spatial and temporal dependencies for truck crashes that occurred in neighboring areas. Built environment attributes such as various types of business establishment density and traffic volume for different types of vehicles, which are important factors to consider for crashes occurred in an urban setting, are also examined in the study.

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.

This study aims to analyse the air traffic control (ATC)-related accidents and incidents. The paper aims to determine technical, operational and environmental factors that influence ATC-related accidents and incidents. This is important to reduce the number of these accidents.

This predictive and dipendence study investigated situational factors indicated in the data sets of National Transportation Safety Board (NTSB) and European Union Aviation Safety Agency (EASA) (for the period 2008–2018). The specific factors were time of day in which accident occurred, location, air traffic management (ATM) contribution, flight rules, ATC unit and outside factors. Logistic regression was used to differentiate factors between fatal ATC-related accidents versus ATC-related incidents. Further, by using Pearson’s chi-squared test, significant relationships between all factors in ATC-related accidents and ATC-related incidents were identified.

The results showed that five factors of total six factors – ATM contribution, flight rules, ATC unit, outside factors and aircraft location – influence to ATC-related accidents and incidents. Further, results showed significant relationships between each all factors in ATC-related accidents and incidents. According to that, differences and similitudes are presented.

After more than 20 years, study about ATC-related accidents and incidents was necessary to establish changements in thıs type of accidents. Belong of that, this is the first study that used data sets of both, NTSB and EASA, to determine the factors that affect ATC-related accidents and incidents.

The paper aims to propose a new mathematical model for allocation and scheduling of vessels at multiple marine container terminals of the same port, considering the access channel depth variations by time of day.

This paper proposes a new mathematical model for allocation and scheduling of vessels at multiple marine container terminals of the same port, considering the access channel depth variations by time of day. The access channel serves as a gate for vessels entering or leaving the port. During low-depth tidal periods the vessels with deep drafts have to wait until the depth of the access channel reaches the required depth.

A number of numerical experiments are performed using the operational data collected from Port of Bandar Abbas (Iran). Results demonstrate that the suggested methodology is able to improve the existing port operations and significantly decrease delayed vessel departures.

The contribution of this study to the state of the art is a novel mathematical model for allocation and scheduling of vessels at multiple terminals of the same port, taking into consideration channel depth variations by time of day. To the best of the authors’ knowledge, this is the first continuous berth scheduling linear model that addresses the tidal effects on berth scheduling (both in terms of vessel arrival and departure at/from the berth) at multiple marine container terminals.

To explore the effects of circadian rhythms on mental performance in the context of the high-stakes CPA exam and to give exam candidates and practitioners insights about ways to better align rigorous mental tasks with the timing of peak mental performance.

Empirical methodology using data on CPA exam candidate characteristics and performance.

We provide evidence consistent with the belief that circadian rhythms affect CPA exam performance. After controlling for other performance factors, we document lower CPA exam scores and pass rates for those exams begun in the early workday hours or in the afternoon, relative to those exams begun in the late morning.

As is typical with empirical methodology, our findings may be due to factors/variables other than those under consideration.

Insights regarding circadian rhythms can potentially be used to better align rigorous mental tasks with the timing of peak mental performance, thereby yielding better performance by the CPA profession.

Among the goals of the CPA profession is the protection of the public. Thus, improved performance by the CPA profession can yield benefits to society at large.

To our knowledge, ours is the first study to explore the possible effect of circadian rhythms on CPA exam performance. Given the high-stakes nature of the exam, we believe our chapter can give exam candidates and practitioners valuable insights about ways to better align rigorous mental tasks with the timing of peak mental performance. This can benefit them both for the CPA exam as well as during their careers.