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To fill a gap in external atmospheric literature and provide useful information for small store retailers, this study aims to investigate the influence of external atmospheric variables, specifically window displays and landscaping (i.e., accessory vegetation), on customers’ responses towards an apparel boutique.

The Stimulus‐Organism‐Response (S‐O‐R) model proposed by Mehrabian and Russell provided the theoretical framework. Data were collected from students enrolled at an American university. Univariate analyses and simple regression analyses were used to evaluate the influence of two external variables (window display and landscaping) on consumer responses in terms of liking, mood, and patronage intentions.

Results indicated that window display and landscaping had no main effects on pleasure or arousal. However, the presence of window display and landscaping influenced respondents’ liking of the store exterior and patronage intentions. Additionally, consumers’ liking of the store exterior and mood positively influenced patronage intentions.

Store retailers, especially small apparel boutiques, would benefit from landscaping the external portion of their store and pay special attention to their window displays.

Turley and Milliman stressed the pressing need for further empirical research on external atmospheric variables because of lack of research on exterior atmospheric variables. This study focused on external atmospheric variables and their impact on shopper behaviors and thus adds to the existing literature.

Although the store environment-impulse buying nexus is well documented, the influence of consumer motivations on this nexus is still underexplored. Consequently, this paper aims at explaining the mediating effect of emotional states and the moderating effect of hedonic shopping motives on the relationship between store atmospherics and impulse buying behavior.

Primary data from 437 customers were generated through a questionnaire developed for this study. Respondents were accessed using mall-intercept technique. Structural equation modeling (SEM) was done to empirically estimate the model.

Results indicate that pleasure and shopping enjoyment mediate the effect of store atmospherics on the impulse purchase behavior. The findings also show that hedonic shopping motives moderate the relationship between the store atmospherics and impulse purchase.

This study contributes by introducing the moderating role played by the hedonic shopping motives on the relationship between store atmospherics and impulse purchase. In addition, it introduces that shopping enjoyment and pleasure mediate the effect of perceived store atmospherics on impulse purchase.

The student's task is to develop a comprehensive strategy for Briggs & Stratton, which is facing severe competition and margin pressures. A major component of the strategy to be considered is whether to implement economic value added (EVA) as a new performance measurement for management. The case is designed to serve as an introduction to how to compute and use EVA. It emphasizes the importance of performance evaluation as part of a larger strategic plan. A teaching note is available to registered faculty, as well as two video supplements to enhance student learning.

Customer's experiential value is influenced by external as well as internal factors. This study was an effort to explore the impacts of two relevant internal factors (lifestyle and involvement) and one important external factor (atmospherics) on experiential value. Further, it investigates the influence of experiential value on two pertinent outcomes (customer satisfaction and positive word of mouth).

A survey-based questionnaire was used to collect the data (n = 354) from fashion retail shoppers in NCR region in India and was analysed using structural equation modelling.

The results revealed that positive influence of atmospherics, involvement and lifestyle on experiential value dimensions. Subsequently, the study showed experiential value influences customer satisfaction, which further leads to positive word of mouth.

The study was carried out in fashion retail stores in National Capital Region in India. Therefore, further investigation is required for generalising the results. Theoretical and managerial contributions of the study are further discussed in the paper.

Arguably, this paper is an initial attempt to explore the antecedents and consequences of experiential value in the context of fashion retailing.

Large-scale data analytics have raised a number of ethical concerns. Many of these were introduced in a seminal paper by boyd and Crawford and have been developed since by others (boyd & Crawford, 2012; Lagoze, 2014; Martin, 2015; Mittelstadt, Allo, Taddeo, Wachter, & Floridi, 2016). One such concern which is frequently recognised but under-analysed is the focus on correlation of data rather than on the causative relationship between data and results. Advocates of this approach dismiss the need for an understanding of causation, holding instead that the correlation of data is sufficient to meet our needs. In crude terms, this position holds that we no longer need to know why X+Y=Z. Merely acknowledging that the pattern exists is enough.

In this chapter, the author explores the ethical implications and challenges surrounding a focus on correlation over causation. In particular, the author focusses on questions of legitimacy of data collection, the embedding of persistent bias, and the implications of future predictions. Such concerns are vital for understanding the ethical implications of, for example, the collection and use of ‘big data’ or the covert access to ‘secondary’ information ostensibly ‘publicly available’. The author’s conclusion is that by failing to consider causation, the short-term benefits of speed and cost may be countered by ethically problematic scenarios in both the short and long term.

Gives reports and surveys of selected current research and developments in systems and cybernetics. They include: A calculus of ethics for a systemic world, Biocybernetics, Neuroscience, Neural technology, Computational model for chocolate, Safety‐critical systems (SCSs), Scientific and technical information from Russia, Cybernetics and systems control, Automation and cybernetics, UK science research.

The purpose of this paper is to provide an overview of one of the most important and controversial areas of scholarly communication: Open Access publishing and dissemination of research outputs. It identifies and discusses recent trends and future challenges for various stakeholders in delivering Open Access (OA) to the scholarly literature.

The study is based on a number of interrelated strands of evidence which make up the current discourse on OA, comprising the peer-reviewed literature, grey literature and other forms of communication (including blogs and e-mail discussion lists). It uses a large-scale textual analysis of the peer-reviewed literature since 2010 (carried out using the VOSviewer tool) as a basis for discussion of issues raised in the OA discourse.

A number of key themes are identified, including the relationship between “Green” OA (deposit in repositories) and “Gold” OA (OA journal publication), the developing evidence base associated with OA, researcher attitudes and behaviours, policy directions, management of repositories, development of journals, institutional responses and issues around impact and scholarly communication futures. It suggests that current challenges now focus on how OA can be made to work in practice, having moved on from the discussion of whether it should happen at all.

The paper provides a structured evidence-based review of major issues in the OA field, and suggests key areas for future research and policy development.

Since the environmental movement began, teachers, researchers, and activists on college and university campuses have made great strides toward making campuses “greener” places. As effective as these efforts have been and continue to be, some increasingly salient questions about sustainability remain unanswered. This paper offers an answer to the question, “How big is the University of Redlands’s ecological impact?”, using a recently developed technique called ecological footprint analysis (EFA). The output of EFA, as used here, is a partial ecological footprint for the University of Redlands (UR). UR’s ecological footprint is then evaluated using criteria derived from several different theoretical approaches to sustainability.