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Research suggests family businesses often pursue risky or aggressive strategies despite the desire to preserve socioemotional wealth (SEW), which is thought to lead to conservativism in family firm strategic decision making. The purpose of this paper is to resolve this apparent contradiction by presenting a model that describes the screening criteria used by family business decision-makers when evaluating strategic opportunities.

The conceptual model relies on insights derived from image theory to resolve apparent contradictions inherent in the SEW perspective’s implications for family firms’ risky strategic decisions.

The proposed model suggests new strategic opportunities in family firms are evaluated through an unconscious, schema-driven decision process and that the preservation of SEW does not preclude risky strategic directions, but instead serves as an unconscious screening criteria for strategic opportunities.

This paper contributes to the literature by expanding the understanding of family-firm strategic decision-making to include considerations of the decision’s fit with the family’s principles, goals and strategic plan rather than solely to overall risk to SEW. Thus, the paper presents a detailed model of family-firm strategic decision-making that relies on insights from image theory.

The purpose of this paper is to demonstrate the critical need for economic information to inform the selection of coastal management options for the beaches of the Sydney region and to outline the project currently under way to address this information gap.

The critical need for the current case study is framed through presenting a summary of the threats posed by current climate change projections, the legislative requirements for economic valuation of natural resources, and the role which economics can play in selection of appropriate coastal management options in response to climate change impacts.

The paper presents the valuation methods that were selected for use in the Sydney Beaches Valuation Project and outlines the rationale behind their selection.

No current, empirical estimates of the economic value of Sydney beaches are available, which means that managers must use estimates from studies which may not reflect the unique characteristics of either the Sydney beaches or the social context. The results of the study, in terms of both unit measures of economic value and lessons learned during the survey design process, will therefore be of great value to coastal managers in the Sydney region. An external link provides details of the mixed mode survey instrument, which can be used to inform the design of other similar studies. Given the critical role of economic appraisal methods in selection of coastal management alternatives, the survey structure is potentially of great use to coastal managers in similarly threatened coastal locations elsewhere.

The purpose of this paper is to examine Chester Barnard's decisional model utilizing the lens of image theory. The main claim is that the individual decision‐making model proposed by Barnard in his Notes on the Significance of Decisive Behavior can be evaluated within the framework of image theory.

The paper performed a comparative analysis of Barnard's and image theory's models of decision making to outline congruence and incongruence between Barnard's early conceptualization of individual decision making and the contemporary understanding of image theory.

The findings provide support to the claim that image theory is an appropriate framework to describe Barnard's model.

The unique contribution of this study is that it provides the first theoretical analysis of Barnard's model of individual decision making. Barnard's model of individual decision making is little known because it was posthumously published in his Notes on the Significance of Decisive Behavior 35 years after Barnard's death.

The psychological literature on subjective probability estimation is reviewed to determine the feasibility of designing probabilistic information retrieval systems using such estimates. Their use has been considered by some writers, but psychological issues have not been addressed. Research pertinent to probabilistic information retrieval is examined and implications for probabilistic information retrieval are drawn. It is shown that accurate human probability estimation is possible, both in the laboratory and in real world tasks, e.g., in meteorological forecasting; but that it is also a task subject to systematic bias, or inaccuracy. Proposed techniques for debiasing are considered. The highly task‐dependent nature of such estimates is also discussed; two implications are that results from laboratory studies may have limited relevance to real world tasks and that empirical studies specific to the context of information retrieval need to be made. Human probability estimation appears to be a difficult task, but one which can be done well with proper training and use of debiasing techniques. It is premature to say how useful such estimates would be in probabilistic information retrieval, but their use should not yet be ruled out.

Purpose – The goal of this chapter is to demonstrate the importance of incorporating gene by environment (G×E) interactions into behavioral science theory and research.

Design/methodology/approach – We critique behavioral genetics, discuss the emergence of epigenetics, review findings on G×E effects, and present the differential susceptibility model of gene–environment interplay.

Findings – The studies reviewed demonstrate that genetic variation often interacts with environmental context to influence the probability of various behaviors. Importantly, in many, and perhaps most, of the studies reviewed, the genetic variable, unlike the environmental variable, has little if any main effect on the outcome of interest. Rather, the influence of the genetic variable is limited to its moderation of the effect of the environmental construct.

Research limitations/implications – Molecular G×E research does not undermine the importance of environmental factors; rather it shows how social scientific explanations of human behavior might be made more precise by incorporating genetic information. This suggests expanded research opportunities for those interested in social causation.

Social implications – This model of molecular G×E research presented suggests that a substantial proportion of the population is genetically predisposed to be more susceptible than others to environmental influence. We argue that this model of G×E is particularly relevant to sociologists and psychologists and has the potential to enhance the development of theory in both areas.

Originality/value – This chapter will be of particular interest to sociologists and psychologists who have found the behavioral genetic paradigm off-putting because of its emphasis on genetic main effects and genetic determinism. The current chapter offers an alternative model that may better capture the available data and better integrate social processes with genetic and biological processes.

38th AIEST Congress August 28‐September 3,1988 Breda/The Netherlands Theme: Daytrips and their impact. Short opening speech by prof. dr. C. Kaspar, President AIEST

In the present chapter, we explore how employee well-being changes over time, both linear and psychological during periods of economic instability. Moreover, we examine how employee job embeddedness (JE) buffers the effects of economic shocks on employee well-being, and how these buffering effects change employee perceptions of time. We theorize that employees with higher levels of JE psychologically experience economic shocks as occurring infrequently with the economically unstable period feeling quick, but employees with lower levels of JE psychologically experience economic shocks as occurring frequently with the economically unstable period feeling slow. Finally, we extend these relationships to account for the spread of employee well-being through social connections, both inside and outside of the work context. Because JE requires strong social connections, we theorize that the links component of embeddedness is responsible for economic shocks and employee well-being crossing over the work/nonwork boundary. We discuss the implications for our theoretical model.

This study compared different types of full-time caregiver (e.g., children, older adults, COVID-19 patients) and subgroups (e.g., disability, race/ethnicity, sexual orientation) in the United States during the COVID-19 pandemic for potentially meaningful distinctions.

Data from the 9,854 full-time caregivers identified in Phase 3.2 (July 21–October 11, 2021) of the US Census Household Pulse Survey (HPS) were analyzed in this study using multinomial logistic regression to examine relationships between caregiver types, marginalized subgroups, generation, and vaccination status.

The prevalence of caregiving was low, but the type of full-time caregiving performed varied by demographic group (i.e., disability, race/ethnicity, sexual orientation, gender, generation, and vaccination status). The relative risk of being a COVID-19 caregiver remained significant for being a member of each of the marginalized groups examined after all adjustments.

To date, the HPS has not been analyzed to predict the type of full-time informal caregiving performed during the COVID-19 pandemic or their characteristics. Research limitations of this analysis include the cross-sectional, experimental dataset employed, as well as some variable measurement issues.

Prior informal caregiver research has often focused on the experiences of those caring for older adults or children with special healthcare needs. It may be instructive to learn whether and how informal caregivers excluded from paid employment during infectious disease outbreaks vary in meaningful ways from those engaged in other full-time caregiving. Because COVID-19 magnified equity concerns, examining demographic differences may also facilitate customization of pathways to post-caregiving workforce integration.

Guided by a life course theoretical perspective, this study aimed to examine associations between providing caregiving for a young or adult son or daughter with special needs and multiple dimensions of physical health status among married midlife and older adults, as well as moderation of these associations by gender and marital quality (i.e., marital strain).

Regression models were estimated using data from 1,058 married adults aged 33–83 (National Survey of Midlife in the U.S. (MIDUS), 2005).

Parental caregiving for a young or adult child with special needs (in contrast to no caregiving) was linked to poorer global health and more physical symptoms among both fathers and mothers. Father caregivers reported slightly more chronic conditions than noncaregiving men, regardless of marital quality. By contrast, mother caregivers reported a much higher number of chronic conditions when they also reported a high level of marital strain, but not when they reported a low level of marital strain.

Overall, results provide evidence from a national sample that midlife and older parents providing caregiving for a child with special needs are at risk for poorer health outcomes, and further tentatively suggest that greater marital strain may exacerbate health risks, particularly among married mother caregivers.