Identifying seasonal variations in store‐level visitor grocery demand

Purpose: The purpose of this paper is to understand the contribution of visitor demand to the seasonal sales variations experienced at grocery retailers in Cornwall, South West England. Design/methodology/approach: Working collaboratively with a major UK retailer provides access to store trading information and customer data from a popular loyalty card scheme. The authors use spatial analysis to identify revenue originating from outside the store catchment, and explore the spatial and temporal nature of the visitor demand recorded in‐store. Findings: The paper demonstrates the significant degree of seasonality experienced around stores in terms of their revenue generated from out‐of‐catchment visitors, and highlights implications for store location planning. Most notably, visitor expenditure tends to demonstrate far more spatial and temporal clustering than residential demand. The authors argue that it is essential for retailers to ensure that their location planning makes full use of all available consumer data to understand the local nature of demand, including the impact of visitor expenditure. Research limitations/implications: The authors aim to use this insight to develop a spatial decision support system (SDSS) for use within site location planning in the retail sector. This would incorporate a spatial interaction model to estimate and account for variation in local demand generated by seasonal tourist visits. Originality/value: Customer level loyalty card data are rarely available for academic investigations and the authors are able to provide a unique insight into customer expenditure in tourist locations. There has been little exploration of seasonal tourist demand in store location planning, and this study addresses an identified academic and commercial need

Hyperopic Cops and Robbers

We introduce a new variant of the game of Cops and Robbers played on graphs, where the robber is invisible unless outside the neighbor set of a cop. The hyperopic cop number is the corresponding analogue of the cop number, and we investigate bounds and other properties of this parameter. We characterize the cop-win graphs for this variant, along with graphs with the largest possible hyperopic cop number. We analyze the cases of graphs with diameter 2 or at least 3, focusing on when the hyperopic cop number is at most one greater than the cop number. We show that for planar graphs, as with the usual cop number, the hyperopic cop number is at most 3. The hyperopic cop number is considered for countable graphs, and it is shown that for connected chains of graphs, the hyperopic cop density can be any real number in $[0,1/2].

The Economic and Electoral Consequences of Austerity Policies in Britain

The aim of this paper is to examine the relationship between electoral support and the economy over the period 2004 to 2014, paying particular attention to the impact of the economic strategy pursued by the Coalition government in Britain since the general election in May 2010. This involves modelling the relationship between voting intentions, perceptions of economic performance, and a variety of other variables using survey data collected each month from 2004. The evidence shows that when Labour was in office, support for the party was strongly influenced by the state of the economy, as was support for the opposition parties. However, since the Coalition came to power, the relationship between the economy and political support has changed, with neither the Conservatives nor the Liberal Democrats gaining from a fairly rapid growth in economic optimism which has taken place since early 2013. The paper explains this change in terms of a growing perception among the public that none of the major parties can effectively manage Britain?s economic problems. It is also the case that optimism about the national economy has not significantly percolated down to the level of the individual voter. So individuals may be more optimistic about the future of the national economy but they are still being badly affected by the recession

Like Father, Like Son: Justin Trudeau and Valence Voting in Canada's 2015 Federal Election

This is the author accepted manuscript. The final version is available from Cambridge University Press via the DOI in this record.Canada’s 2015 federal election was an exiting, as well as a nostalgia provoking, contest. After nine years in office, Prime Minister Stephen Harper and the governing Conservatives were defeated by the resurgent Liberals led by Justin Trudeau. Trudeau is the son of Pierre Trudeau, perhaps Canada’s best known prime minister. Analyses of national survey data demonstrate that party leader images—a major component of the “valence politics” model of electoral choice—were important in both cases. Unlike his father, Justin Trudeau was castigated as a “lightweight” and “just not ready.” However, articulating plausible policies to jump-start Canada’s sluggish economy and espousing “sunny ways,” the younger Trudeau was warmly received by many voters. In contrast, Harper’s image of managerial competence was tarnished by bad economic news, and his attempt to refocus the campaign on emotionally charged cultural issues failed. The result was a Liberal majority government and a prime minister named Trudeau

Chasing the rainbow: pleasure, sex-based sociality and consumerism in navigating and exiting the Irish Chemsex scene

Club drug use among gay, bisexual and other men who have sex with men is increasingly normalised within sexual contexts and is associated with increased sexual risk behaviours. The term Chemsex is used to describe sexualised drug use lasting several hours or days with multiple sexual partners. A small pilot study, underpinned by interpretative phenomenological analysis (IPA), was conducted in Dublin, Ireland. Interviews were conducted with 10 men who were experiencing physical and emotional health problems as a consequence of their participation in sexualised drug use and wished to exit the Chemsex scene. Interviews explored experiences of sexualised drug use, motives to partake, the organisation of Chemsex parties and group connectivity, drugs used, harm reduction, pleasure and consequences of participation over time. Four basic themes emerged from the analysis: social and cyber arrangements within the Dublin Chemsex scene; poly drug use and experiences of drug dependence; drug and sexual harm reduction within the Chemsex circle of novices and experts; and sexualised drug use, escapism and compulsive participation. Two higher-order themes were also apparent: first, the reinforcing aspects of drug and sexual pleasure; and second, the interplay between excess drug consumption and sex, and drug dependence. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group

Shareholder Theory/Shareholder Value

Shareholder theory states that the primary objective of management is to maximize shareholder value. This objective ranks in front of the interests of other corporate stakeholders, such as employees, suppliers, customers, and society.Shareholder theory argues that shareholders are the ultimate owners of a corporate’s assets, and thus, the priority for managers and boards is to protect and grow these assets for the benefit of shareholders. Shareholder theory assumes that shareholders value corporate assets with two measurable metrics, dividends and share price. There-fore, management should make decisions that maximize the combined value of dividends and share price increases. However, shareholder theory fails to consider that shareholders and corporates may have other objectives that are not based on financial performance. For example, as early as1932, Berle and Means argued that corporations have a variety of purposes and interests including encouraging entrepreneurship, innovation, and building communities. This wider view is gaining more traction in recent decades as evidenced by an increased interest in ethical investment funds.This suggests that shareholders and potential shareholders are not only interested in financial gains but are also interested in corporates being socially responsible (Kyriakou2018). Therefore shareholder value creation is important; however,it needs to be balanced with other stakeholders’ interests. This is referred to as an enlightened approach to shareholder value maximization

Open all hours: Spatiotemporal fluctuations in UK grocery store sales and catchment area demand

Conventional population estimates do not account for spatiotemporal fluctuations in populations over a diurnal timescale at the level of retail store catchments. This presents challenges for the retail location-based decision making process which seeks to predict sales volumes and their temporal characteristics prior to new store construction. We present a novel analysis of the temporal fluctuations of store sales, evidencing links between the spatiotemporal distribution of specific population subgroups and temporal store sales. Previous research linking spatiotemporal populations and store sales is limited owing to the fact that commercial data are not openly available to academic research. However, this research has unprecedented access to store level temporal sales data and an established loyalty card scheme from a major UK grocery retailer making these analyses possible for the first time. Additionally, we demonstrate that current store classifications were inadequate for grouping stores with similar sales profiles and propose four new clusters of stores based on the times of the day that they generate revenues. This development has clear academic and commercial benefits, aiding our understanding of consumer behaviours and a novel solution for improved location modelling. We lay the foundations for further research building spatiotemporal demand fluctuations into retail location models

Accounting for temporal demand variations in retail location models

This article develops and calibrates a spatial interaction model (SIM) incorporating additional temporal characteristics of consumer demand for the U.K. grocery market. SIMs have been routinely used by the retail sector for location modeling and revenue prediction and have a good record of success, especially in the supermarket/hypermarket sector. However, greater planning controls and a more competitive trading environment in recent years has forced retailers to look to new markets. This has meant a greater focus on the convenience market which creates new challenges for retail location models. In this article, we present a custom built SIM for the grocery market in West Yorkshire incorporating trading and consumer data provided by a major U.K. retailer. We show that this model works well for supermarkets and hypermarkets but poorly for convenience stores. We then build a series of new demand layers taking into account the spatial distributions of demand at the time of day that consumers are likely to use grocery stores. These new demand layers include workplace populations, university student populations and secondary school children. When these demand layers are added to the models, we see a very promising increase in the accuracy of the revenue forecasts