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There is always a significant amount of speculation as to how the American diet changes over time. Some of speculation is based on what’s good for people, and others base their speculation on various supply and demand issues and the impact of world social changes. However one approach to forecasting the demand for various food products in the American diet is to extrapolate how America’s eating habits would change based on two different scenarios. The first scenario is an cohort model. In this scenario individuals continue their eating habits as they get older. The second scenario is the aging model, with which it is assumed that as people age they adopt the eating habits of the group that they’re moving into.

In this chapter we will evaluate these two scenario-based extrapolation models for projecting food consumption. Data comes from the National Health and Nutrition Examination survey (NHANES), which is conducted regularly by the National Center for Health Statistics (NCHS). It measures levels of consumption with a level accuracy usually not associated with traditional business data services. The specific food items consumed in a 24-hour period are collected for over 30,000 people along with an extensive list of biometric, anthropometric, social, and clinical variables.

The models we evaluate assume that new consumers will enter the market based on projected population growth rates and that consumers “exit” the market based on projected death rates. This chapter applies the models to a subset of the total food variables in the database. Food groups that are pertinent to current issues were selected, such as beef, carbonated soft drinks, and snack foods.

The models forecast food consumption of the by 5 year increments from age 1 to age 85+ an aging cohort model extrapolate how eating habits could be expected to changeover this time interval. The implications of this exercise are essential to the forecasting and management of food processors. The extrapolations may provide guidance for potential changes in capital investment or entry into other markets.

Product success is contingent on forecasting when a product is needed and how it should be offered. Forecasting accuracy is contingent on the correct forecasting technique. Using supermarket data across two product categories, this chapter shows that using a bevy of forecasting methods improves forecasting accuracy. Accuracy is measured by the mean absolute percentage error. The optimal methods for one consumer goods product may be different than for another. The best model varied from sophisticated, most such as autoregressive integrated moving average (ARIMA) and Holt–Winters to a random walk model. Forecasters must be proficient in multiple statistical techniques since the best technique varies within a categories, variety, and product size.

Service-learning (SL) is an educational movement with roots in academic activism fuelled by commitments to accessibility, social mobility, social justice, community engagement, sustainable development and learning. Reviewing the voices of the original US ‘pioneers’ and contemporary practitioners over the last 30 years, this chapter argues that (1) contemporary SL has been ‘mainstreamed’ in various ways and (2) such a re-conceptualisation seems to have re-formatted educational commitments in line with contemporary economic framings and circumstances of higher education (HE). However, it also argues that beyond overt compliance and resistance, it is possible for practitioners and HE more broadly to create responses and spaces where educational adaptation and transformation can emerge. To facilitate such responses, it is important to embrace the strong driving force of passion and emotion, which can drive and sustain change agents in practice. This chapter aspires to revitalise and rejuvenate academic activism as a legitimate catalyst of educational transformation on a global platform.

In many security domains, the ‘human in the system’ is often a critical line of defence in identifying, preventing and responding to any threats (Saikayasit, Stedmon, & Lawson, 2015). Traditionally, such security domains are often focussed on mainstream public safety within crowded spaces and border controls, through to identifying suspicious behaviours, hostile reconnaissance and implementing counter-terrorism initiatives. More recently, with growing insecurity around the world, organisations have looked to improve their security risk management frameworks, developing concepts which originated in the health and safety field to deal with more pressing risks such as terrorist acts, abduction and piracy (Paul, 2018). In these instances, security is usually the specific responsibility of frontline personnel with defined roles and responsibilities operating in accordance with organisational protocols (Saikayasit, Stedmon, Lawson, & Fussey, 2012; Stedmon, Saikayasit, Lawson, & Fussey, 2013). However, understanding the knowledge that frontline security workers might possess and use requires sensitive investigation in equally sensitive security domains.

This chapter considers how to investigate knowledge elicitation in these sensitive security domains and underlying ethics in research design that supports and protects the nature of investigation and end-users alike. This chapter also discusses the criteria used for ensuring trustworthiness as well as assessing the relative merits of the range of methods adopted.

This research provides accounting-ethics authors and administrators with a benchmark for accounting-ethics research. While Bernardi and Bean (2010) considered publications in business-ethics and accounting’s top-40 journals this study considers research in eight accounting-ethics and public-interest journals, as well as, 34 business-ethics journals. We analyzed the contents of our 42 journals for the 25-year period between 1991 through 2015. This research documents the continued growth (Bernardi & Bean, 2007) of accounting-ethics research in both accounting-ethics and business-ethics journals. We provide data on the top-10 ethics authors in each doctoral year group, the top-50 ethics authors over the most recent 10, 20, and 25 years, and a distribution among ethics scholars for these periods. For the 25-year timeframe, our data indicate that only 665 (274) of the 5,125 accounting PhDs/DBAs (13.0% and 5.4% respectively) in Canada and the United States had authored or co-authored one (more than one) ethics article.

This study is a radical interactionist analysis of family conflict. Drawing on both a negotiated order perspective and Athen's theory of complex dominative encounters, this study analyzes the role that domination plays in conflicts among intimates. As the family engages in repeated conflicts over roles, the family also engages in negotiations over the family order, what role each party should play, interpretations of past events, and plans for the future. These conflicts take place against a backdrop of patriarchy that asymmetrically distributes power in the family to determine the family order. The data from this study come from a content analysis of mothers with substance use problems as depicted in the reality television show Intervention. The conflicts in these families reveal that these families develop a grinding family order in which families engaged in repeated conflict but also continued to operate as and identify as a family. These conflicts are shaped by and reinforce patriarchal expectations that mothers are central to family operation. The intervention at the end of each episode offered an opportunity for the family to engage in a concerted campaign to try to force the mother into treatment and reestablish the family order.