Entrepreneurship as Emergence

Emergence is at the core of entrepreneurship research, which has explored the coming-intobeing of opportunities, new organizations, re-organizations, and new industries, agglomerations, and so on. Emergence is also at the theoretical core of complexity science, which is essentially dedicated to exploring how and why emergence happens in dynamic systems (like entrepreneurship). This exploration begins by defining Opportunity In-tension as a dynamic interplay of personal agency and perceived opportunity, which is a catalyst for entrepreneurial behavior. Then I propose two insights about emergence, based on recent research in complexity science. First, a process theory for emergence is presented, which integrates Gartner’s model of “organizing” with the Dissipative Structures Theory of order creation. Second, a definition for emergence is derived, which leads to a surprising notion that emergence can occur in “degrees” (i.e. 1ST–degree emergence, 2ND–degree emergence, and 3RD–degree emergence). Through this approach I suggest that entrepreneurship incorporates a much broader range of phenomenon than may have been previously thought. In a sense, by claiming emergence as a foundation for entrepreneurship, both disciplines can find new ground for research and application

Moving Far From Far-From-Equilibrium: Opportunity Tension as the Driver of Emergence

Complexity scholars have identified two distinct drivers of emergence: (1) Far-from-equilibrium dynamics that trigger order creation, and (2) adaptive tension (McKelvey, 2004) which can push a system toward instability, leading to the emergence of new order. In this paper I suggest that both are true but incomplete. For example, when drawn out to the extreme, a far-fromequilibrium framework generates a contradiction by suggesting that the most dynamic organizations are the ones farthest-from-thermodynamic equilibrium – like Exxon or GE for example. Adaptive tension portrays the effect of a dynamic push without identifying the cause. I suggest “Opportunity Tension” as an alternative, which captures the entrepreneurial passion inherent in the drive for order creation and emergence. Opportunity Tension occurs in “pulses,” each cycle leading to a new dynamic state of the system. At a broader level, this model is captured by the notion of “dynamic disequiibrium” (Chiles et al., in press), a construct that indeed moves us far from the issues raised in far-from-equilibrium approaches

A Scale-Free Theory of Emergence: Four Sequences of Emergence Within, Of, and Across Organizations

Emergence – the “coming into being” of new processes, structures and entities – is a consequential phenomenon that management scholars have been exploring since Babbage (1832) described the emergence of a division of labor, and Weber (1947) explained the emergence of bureaucratic hierarchy. Emergence is important and unique not only because it occurs at multiple levels within and across organizations, but also because emergence is the process that creates new “levels” of organizing (McKelvey & Lichtenstein, 2007)

Value Sinks: A Process Theory of Corruption Risk during Complex Organizing

Theories and studies of corruption typically focus on individual ethics and agency problems in organizations. In this paper, we use concepts from complexity science to propose a process theory that describes how corruption risk emerges from conditions of uncertainty that are intrinsic in social systems and social interactions. We posit that our theory is valid across multiple levels of scale in social systems. We theorize that corruption involves dynamics that emerge when agents in a system take actions that exploit disequilibrium conditions of uncertainty and ethical ambiguity. Further, systemic corruption emerges when agent interactions are amplified locally in ways that create a hidden value sink which we define as a structure that extracts, or ‘drains’, resources from the system for the exclusive use of certain agents. For those participating in corruption, the presence of a value sink reduces local uncertainties about access to resources. This dynamic can attract others to join the value sink, allowing it to persist and grow as a dynamical system attractor, eventually challenging broader norms. We close by identifying four distinct types of corruption risk and suggest policy interventions to manage them. Finally, we discuss ways in which our theoretical approach could motivate future research

Relational Space: Creating a Context for Innovation in Collaborative Consortia

Corporations are collaborating to meet complex global challenges heretofore considered beyond the mandate of business leaders. These multi organizational consortia are not philanthropic efforts but operate within market parameters with limited input from Non Governmental Organizations. In order to examine some dynamics of successful collaborative processes, we pursue an in-depth multi-method case study of “The Sustainability Consortium,” which has convened numerous Fortune 50 senior managers since 1999. We uncover the primacy of “relational space” – a rich context of trust and inquiry – within which participants create innovative projects for doing business in a sustainable way. Our analysis uncovers the dynamics among relational space and the action projects that ensue. We also account for the stakeholder influences and governance that form the architecture of collaboration. We develop a process model and propositions for further research

Glycans in Sera of Amyotrophic Lateral Sclerosis Patients and Their Role in Killing Neuronal Cells

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease caused by degeneration of upper and lower motor neurons. To date, glycosylation patterns of glycoproteins in fluids of ALS patients have not been described. Moreover, the aberrant glycosylation related to the pathogenesis of other neurodegenerative diseases encouraged us to explore the glycome of ALS patient sera. We found high levels of sialylated glycans and low levels of core fucosylated glycans in serum-derived N-glycans of patients with ALS, compared to healthy volunteer sera. Based on these results, we analyzed the IgG Fc N297-glycans, as IgG are major serum glycoproteins affected by sialylation or core fucosylation and are found in the motor cortex of ALS patients. The analyses revealed a distinct glycan, A2BG2, in IgG derived from ALS patient sera (ALS-IgG). This glycan increases the affinity of IgG to CD16 on effector cells, consequently enhancing Antibody-Dependent Cellular Cytotoxicity (ADCC). Therefore, we explore whether the Fc-N297-glycans of IgG may be involved in ALS disease. Immunostaining of brain and spinal cord tissues revealed over-expression of CD16 and co-localization of intact ALS-IgG with CD16 and in brain with activated microglia of G93A-SOD1 mice. Intact ALS-IgG enhanced effector cell activation and ADCC reaction in comparison to sugar-depleted or control IgG. ALS-IgG were localized in the synapse between brain microglia and neurons of G93A-SOD1 mice, manifesting a promising in vivo ADCC reaction. Therefore, glycans of ALS-IgG may serve as a biomarker for the disease and may be involved in neuronal damage

Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms

Objective: To investigate the genetic architecture of internalizing symptoms in childhood and adolescence. Method: In 22 cohorts, multiple univariate genome-wide association studies (GWASs) were performed using repeated assessments of internalizing symptoms, in a total of 64,561 children and adolescents between 3 and 18 years of age. Results were aggregated in meta-analyses that accounted for sample overlap, first using all available data, and then using subsets of measurements grouped by rater, age, and instrument. Results: The meta-analysis of overall internalizing symptoms (INToverall) detected no genome-wide significant hits and showed low single nucleotide polymorphism (SNP) heritability (1.66%, 95% CI = 0.84-2.48%, n(effective) = 132,260). Stratified analyses indicated rater-based heterogeneity in genetic effects, with self-reported internalizing symptoms showing the highest heritability (5.63%, 95% CI = 3.08%-8.18%). The contribution of additive genetic effects on internalizing symptoms appeared to be stable over age, with overlapping estimates of SNP heritability from early childhood to adolescence. Genetic correlations were observed with adult anxiety, depression, and the well-being spectrum (vertical bar r(g)vertical bar > 0.70), as well as with insomnia, loneliness, attention-deficit/hyperactivity disorder, autism, and childhood aggression (range vertical bar r(g)vertical bar = 0.42-0.60), whereas there were no robust associations with schizophrenia, bipolar disorder, obsessive-compulsive disorder, or anorexia nervosa. Conclusion: Genetic correlations indicate that childhood and adolescent internalizing symptoms share substantial genetic vulnerabilities with adult internalizing disorders and other childhood psychiatric traits, which could partially explain both the persistence of internalizing symptoms over time and the high comorbidity among childhood psychiatric traits. Reducing phenotypic heterogeneity in childhood samples will be key in paving the way to future GWAS success.Peer reviewe

Phenome-wide analysis of genome-wide polygenic scores

Genome-wide polygenic scores (GPS), which aggregate the effects of thousands of DNA variants from genome-wide association studies (GWAS), have the potential to make genetic predictions for individuals. We conducted a systematic investigation of associations between GPS and many behavioral traits, the behavioral phenome. For 3152 unrelated 16-year-old individuals representative of the United Kingdom, we created 13 GPS from the largest GWAS for psychiatric disorders (for example, schizophrenia, depression and dementia) and cognitive traits (for example, intelligence, educational attainment and intracranial volume). The behavioral phenome included 50 traits from the domains of psychopathology, personality, cognitive abilities and educational achievement. We examined phenome-wide profiles of associations for the entire distribution of each GPS and for the extremes of the GPS distributions. The cognitive GPS yielded stronger predictive power than the psychiatric GPS in our UK-representative sample of adolescents. For example, education GPS explained variation in adolescents’ behavior problems (~0.6%) and in educational achievement (~2%) but psychiatric GPS were associated with neither. Despite the modest effect sizes of current GPS, quantile analyses illustrate the ability to stratify individuals by GPS and opportunities for research. For example, the highest and lowest septiles for the education GPS yielded a 0.5 s.d. difference in mean math grade and a 0.25 s.d. difference in mean behavior problems. We discuss the usefulness and limitations of GPS based on adult GWAS to predict genetic propensities earlier in development

The leadership of emergence: A complex systems leadership theory of emergence at successive organizational levels

Complexity science reframes leadership by focusing on the dynamic interactions between all individuals, explaining how those interactions can, under certain conditions, produce emergent outcomes. We develop a Leadership of Emergence using this approach, through an analysis of three empirical studies which document emergence in distinct contexts. Each of these studies identifies the same four “conditions” for emergence: the presence of a Dis-equilibrium state, Amplifying actions, Recombination/“Self-organization”, and Stabilizing feedback. From these studies we also show how these conditions can be generated through nine specific behaviors which leaders can enact, including: Disrupt existing patterns through embracing uncertainty and creating controversy, Encourage novelty by allowing experiments and supporting collective action, Provide sensemaking and sensegiving through the artful use of language and symbols, and Stabilize the system by Integrating local constraints. Finally, we suggest ways for advancing a mes

Generative Emergence: A New Discipline of Organizational, Entrepreneurial and Social Innovation

How do organizations become created? Entrepreneurship scholars have debated this question for decades, but only recently have they been able to gain insights into the non-linear dynamics that lead to organizational emergence, through the use of the complexity sciences. Written for social science researchers, Generative Emergence summarizes these literatures, including the first comprehensive review of each of the 15 complexity science disciplines. In doing so, the book makes a bold proposal for a discipline of Emergence, and explores one of its proposed fields, namely Generative Emergence. The book begins with a detailed summary of its underlying science, dissipative structures theory, and rigorously maps the processes of order creation discovered by that science to identify a 5-phase model of order creation in entrepreneurial ventures. The second half of the book presents the findings from an experimental study that tested the model in four fast-growth ventures through a year-long, week-by-week longitudinal analysis of their processes, based on over 750 interviews and 1000 hours of on-site observation. These data, combined with reports from over a dozen other studies, confirm the dynamics of the 5-phase model in multiple contexts. By way of conclusion, the book explores how the model of Generative Emergence could be applied to enact emergence within and across organizations.https://scholarworks.umb.edu/bookshelf/1022/thumbnail.jp