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This paper uses the criteria for defining market segments by George Day to analyse older females as a market segment for well‐fitting clothing. This market can be identified by the physical characteristics of older females and their chronic dissatisfaction with ready‐to‐wear. The growing proportions of older consumers and their life expectancy render this market substantial and durable. Retail trade statistics and family expenditure surveys can be used to measure the market segment. Research pertaining to older females' behaviour towards clothing is limited; therefore, the distinctiveness of older females as a market segment for clothing is far from conclusive. Research implications include clothing expenditures and the behavioural dimension of older consumers.

Why do so many African Americans get stuck near the bottom or at the middle of the corporate ladder? Why do so many continue to complain about discriminatory pay and promotion decisions many decades after the enactment of anti-discrimination laws? Law and economics commentators who have written about the issue of employment discrimination have failed to address the complexity of the problem of implicit bias and the effects of the frequently inaccurate heuristics used by some white workers when making judgments about their black colleagues. Economic theory without context is useless. But with context, law and economic analysis can help us understand and address specific problems like workplace discrimination that persist within corporate cultures because of an overestimation of the cost of anti-discrimination efforts and an underestimation of the gravity and likelihood of workplace discrimination.

In this chapter, I explore the economic and socioeconomic reality of African American low and mid-level corporate managers in order to capture a more complete picture of the costs of discrimination in the corporate workplace. I also explore the heuristic assumptions that are made about African American professionals and the effects those assumptions have on the black community. Finally, to understand the gravity of the harm to individuals, their families and the communities to which they belong, narratives about the economic and psychological harm caused by discrimination are essential. I offer the narratives of six middle managers and low-level professionals who faced discrimination in the corporate workplace to provide an important context about discrimination's real costs.

Breakfast consumption is associated with a range of beneficial health outcomes including improved overall diet quality, lower BMI, decreased risk of chronic disease, and improved cognitive function. Although there are many models of health and social behaviour, there is a paucity of research utilising these in breakfast consumption and very few studies that directly compare these models. This study aims to compare the theory of planned behaviour (TPB) and the health action process approach (HAPA) in predicting breakfast consumption.

University students (N=102; M=19.5 years) completed a questionnaire measuring demographics, TPB and HAPA motivational variables, and intentions. Behaviour and HAPA volitional variables were measured four weeks later.

Using structural equation modelling, it was found that the TPB model was a superior fit to the data across a range of model indices compared to the HAPA. Both models significantly predicted both intentions and behaviour at follow up; however, the TPB predicted a higher proportion of the variance in breakfast consumption (47.6 per cent) than the HAPA (44.8 per cent). Further, the volitional variables did not mediate the intention-behaviour gap, and the data were not an adequate statistical fit to the model compared to the TPB.

The results support the use of the TPB and show that some aspects of the HAPA are useful in predicting breakfast consumption, suggesting that risk perception and self-efficacy be targeted in interventions to increase behaviour. The volitional variables did not appear to mediate breakfast consumption indicating that intention is still the strongest predictor, at least in this behaviour.

The current study is the first to compare the TPB and HAPA in predicting breakfast consumption.

The City of Syracuse, New York, has undertaken energy conservation measures over the past decade. In 2011, the city completed a greenhouse gas (GHG) inventory that serves as the basis for current sustainability planning processes, and the process to complete this analysis was uniquely collaborative and is offered as a case study. The paper aims to discuss these issues.

This inventory was the product of collaboration between the city, the State University of New York College of Environmental Science and Forestry, and the Central New York Regional Planning and Development Board, through the Climate Change Innovation Program. Following guidance from International Council for Local Environmental Initiatives's Local Government Operations Protocol and utilizing Clean Air and Climate Protection software, the baseline year for the inventory was 2002, and the municipal analysis covered five sectors: buildings and facilities, vehicle fleet, aviation, water delivery, and streetlights and traffic lights. The city's community analysis assessed residential, commercial and industrial energy use, transportation and waste sectors.

The City of Syracuse has achieved energy and GHG reductions over the inventory timeframe. While savings have been accomplished, significant challenges to future energy and GHG reductions remain.

Limitations include obtaining data quality and consistency for analysis.

This case study could serve as a model for moving forward with GHG inventory analysis and action for small- to medium-sized cities in the NE, USA.

This was an experiment in collaboration between an academic institution, NGOs and a municipal entity.

The city's 2010 inventory has been followed by community outreach and stakeholder engagement for the sustainability planning process. The city formed advisory teams composed of community experts in the areas of energy and green building, natural environment, waste and recycling, education and outreach, and food systems. The collaborative approach the city utilized offers a helpful model for other municipalities to follow to overcome resource constraints and complete energy and cost-saving carbon footprinting assessments.

The purpose of this paper is to examine the dominant consumer decision theory models and understand why that theory has received little empirical validation. A “decision waves” theory is proposed – an alternative, multi‐phase approach to decision making using image theory. An approach to validating empirically the multi‐phase theory is outlined.

This conceptual paper examines the foundations of modern consumer decision theory and argues for a more representative model of actual consumer decisions.

Decision waves provide a theoretical approach to represent more accurately consumer decision making and improve understanding in this foundational component of marketing. Decision waves do not change detailed empirical findings: however, they do change the macro perspective of how those findings are assembled for marketing.

An empirical test of decision waves theory is ongoing.

The concepts outlined in this paper will change segmentation, positioning and how tactical plans are developed within the marketing mix, particularly for promotional strategies.

A theoretical approach that represents decision making more accurately will bring us closer to understanding this foundational component of marketing. It provides a basis for differentiation in congested markets.