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This study aims to contribute to the understanding of how elements of the socioecological system shape individual behaviors. The problem of childhood overweight and obesity is analyzed as existing within a complex system of relationships at different levels by means of system dynamics (SD).

Secondary sources and primary information collected from an elementary school were used to analyze the influences of several social environmental factors on the dietary habits and physical activity of children. The major elements that influence these behaviors were identified via a socioecological framework (SEF), and the interrelationships among these elements were described using an SD model. Then, several scenarios corresponding to social marketing actions oriented toward modifying the influence of specific elements in the socioecological system were proposed to evaluate how effective they are at reducing the percentages of overweight and obesity among children.

The current research shows the existence of counteracting efforts at the micro (family) and macro (governmental policies) levels that need to be aligned to reduce rates of obesity and overweight.

The systems perspective supports decision makers in defining social marketing strategies to modify alimentary behaviors based on the understanding of what elements of the SEF influence behavior and how they interrelate. To the authors’ knowledge, a detailed analysis of the influences of the socioecological environment has not been performed based on Latin American countries to seek solutions to the public health problems of overweight and obesity.

The application of SD enhances the value of the SEF suggested by Collins et al. (2010) for modeling individual behaviors. Moreover, the use of the systems approach for framing and understanding how the interrelationships of socioecological elements derive in synergic or antagonistic effects helps to predict the long-term effect of governmental actions and school interventions.

The purpose of this paper is to propose a new theory promoting long-term learning among mid-level leaders in schools via simulation training.

The proposed model is derived from the socioecological model, a model that takes into account the multifaceted effects of different disciplines. The proposed interdisciplinary model may be assimilated by considering the ethical-social context of mid-level leaders undergoing simulation training.

A new interdisciplinary model emerges from the original socioecological model. The model's interdisciplinary approach, crossing disciplines such as leadership, management and learning, enables this model to serve as a platform for research that enhances long-term learning among mid-level leaders in schools.

The elicited model, which can be assimilated via simulation training, may enhance long-term learning among mid-level leaders in schools and help to shape educational policy, improve learning and impact the exchange of knowledge between countries.

The emergent interdisciplinary model is expected to foster thinking beyond the traditional boundaries of each discipline and to enhance long-term learning in an ethical context among mid-level school leaders. The model's interdisciplinary approach, which creates new emergent dimensions suited to the challenges of the 21st century, makes this model a unique platform for research and simulation training that enhances long-term learning.

This descriptive qualitative study explores how working conditions impact the health of taxi drivers in Toronto, Canada.

Drivers were recruited between September 2016 and March 2017. A total of 14 semi-structured qualitative interviews and one focus group (n = 11) were conducted. Transcripts were analyzed inductively through a socioecological lens.

The findings of this study are as follows: drivers acknowledged that job precariousness (represented by unstable employment, long hours and low wages) and challenging workplace conditions (sitting all day and limited breaks) contribute to poor physical/mental health. Also, these conditions undermine opportunities to engage in health-protective behaviors (healthy eating, regularly exercising and taking breaks). Drivers do not receive health-enabling reinforcements from religious/cultural networks, colleagues or their taxi brokerage. Drivers do seek support from their primary care providers and family for their physical health but remain discreet about their mental health.

As this study relied on a convenience sample, the sample did not represent all Toronto taxi drivers. All interviews were completed in English and all drivers were male, thus limiting commentary on other experiences and any gender differences in health management approaches among drivers.

Given the global ubiquity of taxi driving and an evolving workplace environment characterized by growing competition, findings are generalizable across settings and may resonate with other precarious professions, including long-haul truck operators and Uber/Lyft drivers. Findings also expose areas for targeted intervention outside the workplace setting.

Health management among taxi drivers is understudied. A fulsome, socioecological understanding of how working conditions (both within and outside the workplace) impact their health is essential in developing targeted interventions to improve health outcomes.

This study aims to explore perceived barriers to participating in regular physical activity (PA) among middle-aged adults in Una, Himachal Pradesh, India.

This study used qualitative methodology. The authors conducted face-to-face semi-structured interviews among adults between 40 and 60 years of age. Eleven interviews were conducted in participants’ vernacular language and were audio-recorded. The recordings were transcribed, and emergent findings were evaluated and interpreted using an open-ended method.

PA was mostly related to household chores by female participants. Male participants considered their daily tasks synonymous with PA. The main barriers identified were lack of enthusiasm/time, advancing age and declining health status, misperceptions of being physically active, lack of skill/knowledge, family responsibilities, lack of social support, lack of open spaces, parks and other facilities, and social restrictions due to the pandemic.

The findings of this study will aid in designing better interventions targeted at promoting PA. Identification of the existing modifiable barriers can be a target source for most public health programs.

The barriers existing among the community must be addressed to achieve the recommended level of PA. The promotional strategies should focus on individual factors, such as increasing self-efficiency and knowledge about recommended levels of PA. The social barriers must also be addressed through peer support and group-based activities. Health policies should emphasize making societies more active by ensuring more open spaces and parks.

Barriers to PA may differ among the socioeconomic strata and geographical locations. The present study explored barriers among working adults in an urban Indian setting.

Circular Economy is a policy and practice-oriented concept drawing mainly on engineering and natural science. This paper aims to contribute a conceptual development based on social systems theory. Does the Circular Economy have the prospect to become a sustainability-enhancing feedback mechanism potentializing an evolutionary systemic rearrangement of structural couplings, and will it encounter limitations as a general approach for a sustainable development?

By using the Luhmannian theory as method, core concepts are semantics, structure and rearrangement of structural couplings. In acknowledging the social system’s operational closure, social-metabolism with nature is discussed. The research is in three stages. First, structural couplings of matter and social systems. Second, structural couplings of organizational networks closing the loop–eventually using digitalization. Third, the Circular Economy encountering multicontextuality.

The paper provides: (1) A four-stage structural coupling enacting metabolism with nature allowing measurement of circularity potentially useable for feedback “irritating” relevant social systems’ reflexion. (2) Identification of obstacles encountered in the proliferation due to paradoxes of strategic decisions in organizations, difficulties of structural couplings of organizational networks and the paradox of digitalization. (3) Help by future digitalization but simultaneously new side-effects. (4) The multicontextuality as the limitation for a broad sustainability approach.

The paper answers a call for more social science theoretical research on the Circular Economy. It develops core conceptualizations based on social systems theory. Also, advices for future research and practical implementation are suggested.

The process for examining the value of house prices in an urban city has given limited attention, if any, to demographic variables associated with urban geography. Although the disciplines of property/real estate and demography have moved closer, little progress has been made when modelling house prices using population-related data in the field of urban geography to explain the level of house prices.

This paper proposes an innovative model to examine the influence of population variables on the level of house prices. It used a two-stage approach as follows: principal components analysis (PCA) identified social dimensions from a range of demographic variables, which were then retained for further analysis. This information was sourced from two Australian Bureau of Statistics censuses undertaken involving all Melbourne residents during 1996, 2001, 2006 and 2011; multiple regression analysis examined the relationship between the retained factor scores from the PCA (as independent variables) and established residential house prices (as the dependent variable).

The findings confirm the demographic profile of each household, which is directly related to their decisions about housing location and house prices. Based on a case study of Melbourne, Victoria, it was demonstrated that households with specific demographic characteristics are closely related to a certain level of house prices at the suburban level.

This is an innovative study which has not been previously undertaken for an extended period of time to facilitate an analysis of change over time.

This chapter explores the domestication of Marx's critique of political economy within Marxist-oriented environmental sociology, and treadmill of production (ToP) theory, in particular. The aim is to explicate the theoretical resources for a rigorous critique of capital-induced planetary degradation. Shortcomings of ToP theory pertaining to the conceptualization of capital and value are identified. The reasons for these shortcomings, including how they might be addressed, are elaborated by reconsidering key aspects of Marx's critical theory of modern capitalist society. The chapter contributes to current discussions in both critical theory and environmental sociology by demonstrating the continued relevance of Marx's critical theory for understanding the political-economic, social, and ideational dimensions of planetary degradation. In contrast to ToP theory, which critically examines the production of wealth by counterposing finitude and limits against the expansionary tendencies of economic growth, the critical theory approach advanced in this chapter conceptualizes the acceleration of environmental degradation following World War II in terms of a ToP of value, whereby the necessity of the value form is continuously established in the present. The chapter discusses how Marxian critical theory facilitates a critical examination of the widespread growth of environmentalism as concomitant with the spread of neoliberal capitalism.

A model is developed which allows an organization to assess its environmental perception and how that perception may impact its response to stakeholders. The model differentiates an organization’s socioecological responsibility across four dimensions for placement on Colby’s five‐paradigm continuum, which ranges between the frontier economic paradigm and new ecological paradigm. This article provides a useful means of assessing the ecological paradigm utilized by firms and offers criteria that may assist the organization in developing a competitively valuable environmental stance.

The digital transformation calls for new thinking about sociotechnical systems design (STSD) because it has enabled new kinds of work systems to proliferate. We identify a new class of sociotechnical system, called the Platform-STS (P-STS), which complements the existing Industrial- and Knowledge-STSs. The P-STS has distinctive characteristics compared to the other classes because it reaches directly into ecosystems and is, therefore, “distributed,” and because it is governed through market mechanisms rather than hierarchy or clan mechanisms. We introduce a new design principle, redundancy of connectivity, to ground design thinking about the P-STS. We demonstrate why fundamental STSD principles need to be reconfigured, suggest how they might do so, and conclude that socioecological designs and interventions may need to supplant sociotechnical ones.

The purpose of this study is to offer a roadmap for work on the ethical and societal implications of algorithms and AI. Based on an analysis of the social, technical and regulatory challenges posed by algorithmic systems in Korea, this work conducts socioecological evaluations of the governance of algorithmic transparency and accountability.

This paper analyzes algorithm design and development from critical socioecological angles: social, technological, cultural and industrial phenomena that represent the strategic interaction among people, technology and society, touching on sensitive issues of a legal, a cultural and an ethical nature.

Algorithm technologies are a part of a social ecosystem, and its development should be based on user interests and rights within a social and cultural milieu. An algorithm represents an interrelated, multilayered ecosystem of networks, protocols, applications, services, practices and users.

Value-sensitive algorithm design is proposed as a novel approach for designing algorithms. As algorithms have become a constitutive technology that shapes human life, it is essential to be aware of the value-ladenness of algorithm development. Human values and social issues can be reflected in an algorithm design.

The arguments in this study help ensure the legitimacy and effectiveness of algorithms. This study provides insight into the challenges and opportunities of algorithms through the lens of a socioecological analysis: political discourse, social dynamics and technological choices inherent in the development of algorithm-based ecology.