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This paper aims to extend the literature on wicked problems in consumer research by exploring athlete and consumer vulnerability in sport and the potential role that social marketing can play in addressing this problem.

This paper conceptualises the wicked problem of athlete and consumer vulnerability in sport, proposing a multi-theoretical approach to social marketing, incorporating insights from stakeholder theory, systems theory and cocreation to tackle this complex problem.

Sport provides a rich context for exploring a social marketing approach to a wicked problem, as it operates in a complex ecosystem with multiple stakeholders with differing, and sometimes conflicting, objectives. It is proposed that consumers, particularly those that are highly identified fans, are key stakeholders that have both facilitated the problematic nature of the sport system and been rendered vulnerable as a result. Further, a form of consumer vulnerability also extends to athletes as the evolution of the sport system has led them to engage in harmful consumption behaviours. Social marketing, with its strategic and multi-faceted focus on facilitating social good, is an apt approach to tackle behavioural change at multiple levels within the sport system.

Sport managers, public health practitioners and policymakers are given insight into the key drivers of a growing wicked problem as well as the potential for social marketing to mitigate harm.

This paper is the first to identify and explicate a wicked problem in sport. More generally it extends insight into wicked problems in consumer research by examining a case whereby the consumer is both complicit in, and made vulnerable by, the creation of a wicked problem. This paper is the first to explore the use of social marketing in managing wicked problems in sport.

This article provides a plain language commentary on the distributive equity structure of the English Premier League (EPL) with the aim of introducing sport business practitioners to a foundational challenge facing professional leagues as they grow financially with market opportunities, namely financial inequality between clubs.

Introducing and discussing data from seasons 2009/10–2018/19, the article reveals that despite maintaining a consistent distribution of the EPL prize fund over time, the financial imbalance within the league has grown throughout the period.

The EPL's financial distributive equity is exacerbated by growing imparity in the acquisition of sponsorship revenues, the distribution of broadcasting revenues and the implications of policies concerning financial fair play and parachute payments, leading to a problematic differential in the talent distribution and win–wage relationship experienced by the top six teams and the remainder.

The EPL's market-driven continuation of its revenue allocation policies has led to a broadening financial imbalance, in favour of the top clubs, which could paradoxically undermine the financial security of the teams and league. Sport business practitioners should be familiar with this fundamental challenge for sport leagues that accompanies financial growth.

Whilst the percentage difference in prize fund allocation between top and bottom clubs appears minor, there is a significant financial variation across the league, primarily due to the large increase in broadcasting income. This is compounded by positive feedback via the relative dominance of the top six clubs receiving the larger share allocated to higher finishing teams.

This research identifies internet-based opportunities for developing competitive marketing advantages and provides recommendations for the use of the internet in sports marketing. A telephone-administered survey, constructed from an instrument developed by Sethi and King (1994), Caskey (1998) and salient literature, was employed. All 55 clubs participating in Australia's four largest professional sporting leagues formed the sample, with an 87% participation rate achieved. Results lead to several practical recommendations for professional sporting organisations seeking to improve their internet marketing opportunities.

The purpose of this paper is to describe how order‐generated rules applied to organizing form dualities can assist in creating the conditions for emergent, self‐organized behavior in organizations, thereby offering an operational deployment of complexity theory.

The paper begins by showing that the concept of dualities is consistent with complexity‐thinking. In addition, when applied to organizing forms, dualities represent a practical way of affecting an organization's balance between chaos and order. Thus, when augmented with order‐generating rules, organizing form dualities provide an access point for the practical instigation of edge of chaos conditions and the potential for emergence.

The paper maintains that many attempts to “manage” complexity have been associated with changes to organizing forms, specifically toward new forms of organizing. It is suggested that organizing form dualities provide some management guidance for encouraging the “edge of chaos” conditions advocated in complexity theory, although the details of self‐organization cannot be prescribed given the assumptions of non‐linearity associated with complexity theory perspectives. Finally, it is proposed that organizing dualities can elucidate the nature and application of order‐generating rules in non‐linear complex systems.

Dualities offer some guidance toward the practical implementation of complexity theory as they represent an accessible sub‐system where the forces for order and chaos – traditional and new forms of organizing respectively – are accessible and subject to manipulation.

The commonalities between dualities and complexity theory are intuitive, but little conceptual work has shown how the former can be employed as a guide to managing organizing forms. Moreover, this approach demonstrates that managers may be able to stimulate “edge of chaos” conditions in a practical way, without making positivistic assumptions about the causality associated with their efforts.

This paper seeks to make an assessment of the value and veracity that complexity theory makes as a “new” approach to futures thinking, and the implications that the approach holds for futures studies.

There are three sections. In the first, the notion of complexity theory is explained and its robustness considered, leading to a commentary on its status as a theory. In the second section, the applications of complexity approaches to change and futures thinking are examined, including its perspective on forecasting and scenario analysis. The final section comments on the compatibility of complexity theory and the relevance of conventional analytical forecasting techniques.

Complexity thinking implies that the causes of events cannot be known and that forecasting and scenario planning are doomed to failure. However, this perspective assumes that complexity has achieved status as a theory, a possibility which is rejected in this analysis.

It is proposed that complexity theory offers a neat metaphor for considering aspects of change, but that there is insufficient evidence to impel managers to dispose of forecasting techniques based on the flawed assumption that all change will be emergent and fundamentally unpredictable. In fact, complexity and analytical scenario techniques might be more compatible than is suggested by complexity advocates, and might be helpful in conceptualising alternative scenarios, as it encourages an awareness of emerging patterns.

This paper makes an assessment of the contribution that complexity theory may make to futures thinking, provides some practical guidance concerning its application, comments on the utility of conventional futures analysis methods and offers a view on the relevance of analytical forecasting techniques.

Alternative education settings (AES; i.e., self-contained alternative schools, therapeutic day treatment and residential schools, and juvenile corrections schools) serve youth with complicated and often serious academic and behavioral needs. The use of evidence-based practices (EBPs) and practices with Best Available Evidence are necessary to increase the likelihood of long-term success for these youth. In this chapter, we define three primary categories of AES and review what we know about the characteristics of youth in these schools. Next, we discuss the current emphasis on identifying and implementing EBPs with regard to both academic interventions (i.e., reading and mathematics) and interventions addressing student behavior. In particular, we consider implementation in AES, where there are often high percentages of youth requiring special education services and who have a significant need for EBPs to succeed academically, behaviorally, and in their transition to adulthood. We focus our discussion on: (a) examining approaches to identifying EBPs; (b) providing a brief review of EBPs and Best Available Evidence in the areas of mathematics, reading, and interventions addressing student behavior for youth in AES; (c) delineating key implementation challenges in AES; and (d) providing recommendations for how to facilitate the use of EBPs in AES.

The purpose of this study is to estimate the amount of cash flow deficit, if any, needed to maintain the operating costs and service debt of a startup cow–calf enterprise. The study compares long-term profitability and risk between starting small and building a herd to full carrying capacity or by starting at desired herd capacity.

A dynamic cattle growth model was developed to capture expanding and maintaining the desired herd size. Discounted cash flow (DCF) models over a 15-year period were calculated to estimate net present value (NPV), modified internal rate of return (MIRR) and cash flow deficit to keep the business operating and service debt. Simulation analyses were conducted considering price and production risk.

Starting at the desired herd size was preferred, according to NPV/MIRR and cash flow deficit, but the differences were not substantial. Assuming the operation is liquidated at book values, there was a 36.3% probability of this enterprise having a zero or positive NPV. If the conservative terminal value assumption is relaxed up to feasible market values, the cow–calf enterprise is economically attractive at an estimated 2.4% opportunity cost of capital. However, the producer would experience a cash flow deficit during the first seven years, which was simulated to be $14,892 and $15,985 annual for both strategies.

Innovative methods used in this study include varying the annual opportunity cost of capital as a function of financing decisions, stochastic prices by cattle type and stochastic weaning weights that are a function of a dynamic cattle model.

A growing body of research outlines how to best facilitate and ensure methodological rigor when using dictionary-based computerized text analyses (DBCTA) in organizational research. However, these best practices are currently scattered across several methodological and empirical manuscripts, making it difficult for scholars new to the technique to implement DBCTA in their own research. To better equip researchers looking to leverage this technique, this methodological report consolidates current best practices for applying DBCTA into a single, practical guide. In doing so, we provide direction regarding how to make key design decisions and identify valuable resources to help researchers from the beginning of the research process through final publication. Consequently, we advance DBCTA methods research by providing a one-stop reference for novices and experts alike concerning current best practices and available resources.

Organizational crises are complex events for researchers to assess. However, research in this domain remains fragmented, and advanced empirical techniques remain underutilized. In this chapter, we offer an integrated approach to assessing crises. We first specify a behavioral process model of crisis management comprised of three stages: interpretations, responses, and outcomes. Within each stage, we identify areas of opportunity and provide methodological recommendations that enhance our understanding of crises and crisis management. We also provide recommendations that could be applied across stages of the model. Taken together, we present a framework by which researchers can more effectively measure and analyze critical crisis dimensions.