The Mid-week Effect and Why Thursdays Are Blue: The Weekly Rhythm of Satisfaction in Hungary

Keller, Tamás

doi:10.13060/00380288.2018.54.3.411

Cited by 7 publications

(9 citation statements)

References 26 publications

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“…Thus, users might have become more interested in the hotel and its services in the middle of the week, when they started to look for leisure or entertainment activities for Fridays or weekends. This finding supports recent finding of Keller's (2018) that Thursdays are the most depressing day of the week for full-time workers, and therefore they look for entertainments and fun on Thursdays. Interestingly, users became more active on Fridays in 2017.…”

Section: Discussionsupporting

confidence: 92%

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Dynamics of hotel website browsing activity: the power of informatics and data analytics

Chan¹,

Law

et al. 2020

IMDS

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PurposeThis paper aims to investigate the temporal dynamics of users browsing activity on a hotel website in order to derive effective marketing strategies and constantly improve website effectiveness. Users' activities on the hotel's website on yearly, monthly, daily and hourly basis are examined and compared, demonstrating the power of informatics and data analytics.Design/methodology/approachA total of 29,976 hourly Weblog files from 1 August 2014 to 31 December 2017 were collected from a luxury hotel in Hong Kong. ANOVA and post-hoc comparisons were used to analyse the data.FindingsUsers' browsing behaviours, particularly stickiness, on the hotel website differ on yearly, monthly, daily and weekly bases. Users' activities increased steadily from 2014 to 2016, but dropped in 2017. Users are most active from July to September, on weekdays, and from noon to evening time. The month-, day-, and hour-based behaviours changed through years. The analysis of big data determines strategic and operational management and marketing decision-making.Research limitations/implicationsUnderstanding the usage patterns of their websites allow organisations to make a range of strategic, marketing, pricing and distribution decisions to optimise their performance. Fluctuation of website usage and level of customer engagement have implications on customer support and services, as well as strategic partnership decisions.Originality/valueLeveraging the power of big data analytics, this paper adds to the existing literature by performing a comprehensive analysis on the temporal dynamics of users' online browsing behaviours.

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Section: Discussionsupporting

confidence: 92%

“…Interestingly, users became more active on Fridays in 2017. Escapism and less work assigned on the last working day of the week may explain this pattern (Keller, 2018). Nevertheless, Saturdays were always the day with the least activities.…”

Section: Discussionmentioning

confidence: 99%

Dynamics of hotel website browsing activity: the power of informatics and data analytics

Chan¹,

Law

et al. 2020

IMDS

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“…The magnitude of the day-of-the-week effect was almost two points on the de-trended scale, -1 to + 1, from the Monday low through to the Friday high. It is a pattern that replicates very closely the international results based on more conventional measures of wellbeing (Akay & Martinsson, 2009 ; Helliwell & Wang, 2014 ; Kelly, 2018 ; Taylor, 2006 ; Tsai, 2019 ). That the Twitter-based wellbeing series picks up this day of the week pattern so clearly is one indication of its sensitivity to daily changes in national mood.…”

Section: Big Data and The Gross National Happiness Indexsupporting

confidence: 79%

The impact of exogenous shocks on national wellbeing. New Zealanders’ reaction to COVID-19

Morrison

Rossouw

Greyling

2021

Applied Research Quality Life

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In this paper, we explore the response of an aggregate measure of subjective wellbeing to the arrival and passage of the COVID-19 pandemic in a small, geographically separate economy in the South Pacific. Studies of national wellbeing and emotional responses to infection rates during a pandemic have been rare thus far. While several disciplines offer theoretical priors in the case of individuals, far less attention has been paid to the wellbeing and emotional response at a national level. Our paper contributes to the literature by applying a time-series approach to the relationship between wellbeing, emotions and the passage of a pandemic. As such we contribute to a wider literature on macro responses to exogenous shocks. Our analysis involves the use of a wellbeing index and emotional time-series derived from Big Data in the form of tweets originating within New Zealand. The index captures the daily evaluative mood of the country several weeks before the first domestic case of COVID-19 was recorded until several weeks of no new COVID-19 cases. We find distinct reactions to the pandemic: a initial fall in national wellbeing generated by a decrease in the emotions ‘joy’, ‘anticipation’ and ‘trust’. Following a rapid and severe lockdown designed to limit domestic transmission of the virus national wellbeing recovered relatively quickly. Gaining insight into the wellbeing (happiness) reponse to pandemics at the national level is important because the average level of happiness within countries is known to be associated with a range of economic, social, health and political outcomes.

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“…The index is available live on the GNH website (Greyling et al ., 2019). As happiness varies over the days of the week, with a Monday low and a Saturday high, we adjust the time series to remove the average day of the week effect (Helliwell and Wang, 2011; Kelly, 2018). We notice that the mean level of GNH for the period under consideration is 7.02 in 2019, considerably higher than the 6.81 in 2020 (see Table 2 for descriptive statistics).…”

Section: Methodsmentioning

confidence: 99%

A Tale of Three Countries: What is the Relationship Between COVID‐19, Lockdown and Happiness?

Greyling

Rossouw

Adhikari

2021

South African J Economics

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The COVID‐19 pandemic led many governments to implement lockdown regulations to curb the spread of the virus. Though lockdowns do minimise the physical damage caused by the virus, there may also be substantial damage to population well‐being. Using a pooled data set, we analyse the relationship between a mandatory lockdown and happiness in three diverse countries: South Africa, New Zealand and Australia. These countries differ amongst others in terms of lockdown regulations and duration. The primary aim is to determine, whether a lockdown is negatively associated with happiness, notwithstanding the characteristics of a country or the strictness of the lockdown regulations. Second, we compare the effect size of the lockdown on happiness between these countries. We use Difference‐in‐Difference estimations to determine the association between lockdown and happiness and a Least Squares Dummy Variable estimation to study the heterogeneity in the effect size of the lockdown by country. Our results show that a lockdown is associated with a decline in happiness, regardless of the characteristics of the country or the type and duration of its lockdown regulations. Furthermore, the effect size differs between countries in the sense that the more stringent the stay‐at‐home regulations are, the greater it seems to be.

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The Mid-week Effect and Why Thursdays Are Blue: The Weekly Rhythm of Satisfaction in Hungary

Cited by 7 publications

References 26 publications

Dynamics of hotel website browsing activity: the power of informatics and data analytics

Dynamics of hotel website browsing activity: the power of informatics and data analytics

The impact of exogenous shocks on national wellbeing. New Zealanders’ reaction to COVID-19

A Tale of Three Countries: What is the Relationship Between COVID‐19, Lockdown and Happiness?

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