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The purpose of this paper is to use data from the Longitudinal Study of Violent Criminal Behavior in the USA to examine case configurations of violent behavior using a biopsychosocial framework. Specifically, the theory posits that arguably all behavior is the result of specific combinations of biopsychological (individual) and sociocultural (environmental) characteristics that are interacting within the individual. With regard to criminal and violent behavior, the theoretical assumption is that this maladaptive behavior is the result of a negative interaction between the biopsychological and sociocultural factors.

The study design consists of secondary data analysis. A conjunctive analysis of case configurations was performed using data from the Longitudinal Survey of Violent Criminal Behavior to formally explore the tenets of Cortés and Gatti’s (1972) biopsychosocial theory.

The results suggest that there are main effects for ego strength, family problems, family incohesiveness and underachievement as they relate to offending. A possible six-way interaction was also identified within the case configurations that provides empirical support for Cortés and Gatti’s (1972) biopsychosocial theory of deviance.

The present study contributes to the existing biopsychosocial literature by providing insight on the contextual variability in pathways to violent offending. Specifically, the evidence provided indicates that Cortés and Gatti’s (1972) biopsychosocial theory of deviance can be extended to comparing violent and non-violent offenders. Implications for policy and practice are also discussed.

Prior reports on theory and research focusing on describing and explaining national cultural influences on purchase and consumption behavior use a net effects approach (i.e., theory and analysis relying on main and interaction effects via statistical analysis). Theory and research in this chapter advances qualitative comparative analysis (QCA) of a configuration perspective of culture's consequences on consumption behavior. This research informs the view that national cultures represent causal recipes (conjunctions) of cultural values; the study of main and interaction effects offer meager representations of national culture's consequences in comparison to adopting a cultural configuration stance. The configuration research here includes transforming Hofstede's country cultural scores into fuzzy set values and applying Boolean algebra to estimate the relevancy of alternative cultural configurations for each of 14 nations to consuming experiences during visits to Australia. The findings support primary and additional hypotheses that specific cultural configurations are sufficient (but not necessary) for describing substantial culture's consequences on consuming tourism experiences. For example, the animus (i.e., Carl Jung's unconscious masculine personality-force) configuration — the combination of high power (P), high individualism (I), high masculine (M), and low uncertainty avoidance (∼U) (i.e., P·I·M·∼U) — is sufficient in indicating not-shopping-for-gifts while visiting Australia. Western national cultures (e.g., United States) have higher fuzzy set scores than Eastern national cultures (e.g., Japan) for the animus configuration.

The purpose of this paper is to revisit the conceptualization and measurement of entrepreneurial intentions. Significant studies anchored in the Theory of Planned Behavior use causal statistical approaches to entrepreneurial intentions. This methodological approach, leads to the conclusion that there is a single pathway for all groups of people to achieve business start-up. Even though theory suggests approaches by women entrepreneurs to start a business may be influenced by different factors from those influencing men, results are inconclusive in these analyses. The authors argue that methodological preferences for linear, causal analytical approaches limit the understanding of gender similarities and differences in the business start-up process. The authors propose that when considering diverse samples, it is unreasonable to assume there is only a single pathway leading to business start-up.

Building on fuzzy-set Qualitative Comparative Analysis (fsQCA) and data set of 2,038 respondents, the authors investigate factors predicting the intentions to start a business and evaluate the alternative conjunctive paths that emerge.

The fsQCA results shows that the relationship among conditions leading to entrepreneurial intentions is complex and is best represented as multiple and conjectural causation configurations. In other words, there are multiple significant pathways (refers to equifinality) that predict intentions to start a business start-up, and there are significant differences by gender.

This study is one of the first to examine the roll of gender as a sperate condition in the analysis. This paper offers implications for theory and future research and highlights the complexity of this domain.

The purpose of this paper is to provide a metric for validating the Nationwide Suspicious Activity Reporting (SAR) Initiative’s (NSI) sixteen-category instrument, which is designed to guide law enforcement in the collection and analysis of suspicious behaviors preceding serious crimes, including terrorist attacks.

Data on suspicious preoperational activities and terrorism incident outcomes in the USA between 1972 and 2013 come from the American Terrorism Study (ATS). Using a mixed-method approach, the authors conduct descriptive and multivariate analyses to examine the frequencies of the least and most prevalent suspicious activities (or SAR indicators) and how they predict the likelihood of terrorism prevention. In addition, the authors contextualize how configurations of SAR indicators are associated with the successful thwarting of terrorism incidents by law enforcement using an analytical method known as conjunctive analysis of case configurations (CACC).

The study reveals several key findings. First, certain behaviors categorized as suspicious, such as making threats, occur more frequently than others. Second, making threats, conducting surveillance and terrorist recruitment/financing predict law enforcement interdiction in terrorism plots, while misrepresentation (or the manufacturing and use of false documents) is more associated with terrorist success. Third, prevalent SAR indicators operate differently in the context of various combinations of suspicious activities to shape the likelihood for law enforcement interdiction.

The current study’s findings may not be generalizable to other forms of violent extremism and terrorism outside of the USA.

This study illuminates opportunities for the NSI to provide law enforcement with the necessary tools to reduce terrorism risk and prevent future attacks.

To our knowledge, no scholarly work to date has assessed how observable behavioral indicators of suspicious preoperational activities affect the outcomes of terrorist plots.

Although QCA was originally developed specifically for small-N settings, recent studies have shown its potential for large-N organization studies. In this chapter, we provide guidance to prospective researchers with the goal of opening up QCA’s potential for widespread use in organization studies involving large-N settings, both as an alternative and as a complement to conventional regression analyses. We compare small-N and large-N QCA with respect to theoretical assumptions and objectives, processes and decisions involved in building the causal model, selecting the sample, as well as analyzing the data and interpreting the results. Finally, we discuss the prospects for large-N configurational analysis in organization studies and related fields going forward.

This study applies asymmetric rather than conventional symmetric analysis to advance theory in occupational psychology. The study applies systematic case-based analyses to model complex relations among conditions (i.e., configurations of high and low scores for variables) in terms of set memberships of managers. The study uses Boolean algebra to identify configurations (i.e., recipes) reflecting complex conditions sufficient for the occurrence of outcomes of interest (e.g., high versus low financial job stress, job strain, and job satisfaction). The study applies complexity theory tenets to offer a nuanced perspective concerning the occurrence of contrarian cases – for example, in identifying different cases (e.g., managers) with high membership scores in a variable (e.g., core self-evaluation) who have low job satisfaction scores and when different cases with low membership scores in the same variable have high job satisfaction. In a large-scale empirical study of managers (n = 928) in four (contextual) segments of the farm industry in New Zealand, this study tests the fit and predictive validities of set membership configurations for simple and complex antecedent conditions that indicate high/low core self-evaluations, job stress, and high/low job satisfaction. The findings support the conclusion that complexity theory in combination with configural analysis offers useful insights for explaining nuances in the causes and outcomes to high stress as well as low stress among farm managers. Some findings support and some are contrary to symmetric relationship findings (i.e., highly significant correlations that support main effect hypotheses).

The purpose of this study is to identify factors in sex offenders that act to facilitate or inhibit confession to police. Moreover, it aims to assess possible interactions and differences among factors related to confession specifically for child molesters and those who attack adult victims (rapists).

The authors use a combination of CHAID and conjunctive analysis to analyze interactions and factors significantly associated with confession to police in a sample of 624 sex offenders.

The study identifies several factors, as well as interactions among those factors, related to confession to the police. Moreover, rapists and child molesters present different factors related to confession, the former being more related to the criminal event as to the latter being more related to the offender characteristics.

The findings point to the conclusion that investigators need to pay careful attention to the type of victim when preparing the interrogation. Moreover, these crime event characteristics are readily observable factors that can improve the estimation of the likelihood of obtaining a confession. Finally, the several interactions identified confirm the complexity of the decision making leading to confession to police as well as the need to look at the factors in combination as opposed to individually.

This paper is the first attempt to apply a combination of innovative multivariate statistics (CHAID) and a qualitative technique (conjunctive analysis) to investigate factors leading to confession for two specific types of sex offenders.

The introductory chapter includes how to design-in good practices in theory, data collection procedures, analysis, and interpretations to avoid these bad practices. Given that bad practices in research are ingrained in the career training of scholars in sub-disciplines of business/management (e.g., through reading articles exhibiting bad practices usually without discussions of the severe weaknesses in these studies and by research courses stressing the use of regression analysis and structural equation modeling), this editorial is likely to have little impact. However, scholars and executives supporting good practices should not lose hope. The relevant literature includes a few brilliant contributions that can serve as beacons for eliminating the current pervasive bad practices and for performing highly competent research.

This study empirically investigates consumers’ use of five heuristics (conjunctive, disjunctive, lexicographic, linear additive, and geometric compensatory) in the consideration set formation, a critical first phase before actual choice behavior. Data were collected on the selection of beer brands and fast food outlets by real consumers. Using a decomposition approach in determining the consumers’ choice heuristics, it was found that the conjunctive heuristic is the most often used decision model in the consideration set formation for the two product classes. Implications for brand managers and future research directions are developed.