Diversity and Social Network Structure in Collective Decision Making: Evolutionary Perspectives with Agent-Based Simulations

Collective, especially group-based, managerial decision making is crucial in organizations. Using an evolutionary theoretic approach to collective decision making, agent-based simulations were conducted to investigate how human collective decision making would be affected by the agents' diversity in problem understanding and/or behavior in discussion, as well as by their social network structure. Simulation results indicated that groups with consistent problem understanding tended to produce higher utility values of ideas and displayed better decision convergence, but only if there was no group-level bias in collective problem understanding. Simulation results also indicated the importance of balance between selection-oriented (i.e., exploitative) and variation-oriented (i.e., explorative) behaviors in discussion to achieve quality final decisions. Expanding the group size and introducing non-trivial social network structure generally improved the quality of ideas at the cost of decision convergence. Simulations with different social network topologies revealed collective decision making on small-world networks with high local clustering tended to achieve highest decision quality more often than on random or scale-free networks. Implications of this evolutionary theory and simulation approach for future managerial research on collective, group, and multi-level decision making are discussed.Comment: 27 pages, 5 figures, 2 tables; accepted for publication in Complexit

Comparative Approaches to Studying Strategy: Towards an Evolutionary Account of Primate Decision Making

How do primates, humans included, deal with novel problems that arise in interactions with other group members? Despite much research regarding how animals and humans solve social problems, few studies have utilized comparable procedures, outcomes, or measures across different species. Thus, it is difficult to piece together the evolution of decision making, including the roots from which human economic decision making emerged. Recently, a comparative body of decision making research has emerged, relying largely on the methodology of experimental economics in order to address these questions in a cross-species fashion. Experimental economics is an ideal method of inquiry for this approach. It is a well-developed method for distilling complex decision making involving multiple conspecifics whose decisions are contingent upon one another into a series of simple decision choices. This allows these decisions to be compared across species and contexts. In particular, our group has used this approach to investigate coordination in New World monkeys, Old World monkeys, and great apes (including humans), using identical methods. We find that in some cases there are remarkable continuities of outcome, as when some pairs in all species solved a coordination game, the Assurance game. On the other hand, we also find that these similarities in outcomes are likely driven by differences in underlying cognitive mechanisms. New World monkeys required exogenous information about their partners’ choices in order to solve the task, indicating that they were using a matching strategy. Old World monkeys, on the other hand, solved the task without exogenous cues, leading to investigations into what mechanisms may be underpinning their responses (e.g., reward maximization, strategy formation, etc.). Great apes showed a strong experience effect, with cognitively enriched apes following what appears to be a strategy. Finally, humans were able to solve the task with or without exogenous cues. However, when given the chance to do so, they incorporated an additional mechanism unavailable to the other primates - language - to coordinate outcomes with their partner. We discuss how these results inform not only comparative psychology, but also evolutionary psychology, as they provide an understanding of the evolution of human economic behavior, and the evolution of decision making more broadly

Movement Decisions and Foraging Behaviour in Shoals of Fish The influence of internal and external stimuli

This thesis explores the mechanisms and functions of decision-making in groups, specifically in the context of social foraging in fish shoals. While many animal groups may seem homogeneous to the naked-eye, closer inspection reveals considerable heterogeneity, as they are composed of individuals with different phenotypes and different motivations living in stochastic, complex environments. The question then, is how do individual behavioural decisions change under varying internal and external conditions and what effect does this have on group level decision-making? How do animals address conflicts of interest and competition effects whilst ensuring benefits of group living are maintained? The approach taken in this thesis has been to address these questions from many angles, using a range of freshwater and marine species and employing an array of novel experimental set-ups. Of particular importance has been the utilization of automated, multi agent tracking software, which has allowed for the description of the movement and interaction of individually identified fish at a much finer scale than in the past. This project has direct significance to our understanding of the individual and group dynamics of social species, which is a central theme in behavioural ecology, and will inform researchers in a variety of fields from theoretical biology to sociological studies of human grouping patterns. The inclusion of internal nutritional state and external environmental factors into studies of group movement and decision-making in a foraging context is a practical way of linking the mechanistic forces behind individual behaviour to functional group-level responses. This will help expand our understanding of the evolutionary causes of group living and its ecological consequences, influencing conservation management plans and strategies to improve fisheries and aquacultural practices

Contextualisation of the complexity in the selection of developing country outsourcees by developed country outsourcers

© 2018 Informa UK Limited, trading as Taylor & Francis Group. Outsourcing research has recognised that selecting the right offshore supplier (outsourcee) in low-cost distant developing countries is complex, but central to outsourcing success. More specifically, the combination of outsourcee contextual internal factors (e.g. capabilities) with outsourced-to country contextual external factors (e.g. political, legal, economic, socio-cultural) as two fundamental and interconnected decisions firms make when outsourcing remains an underexplored research gap. Therefore, through a rigorous three-tier qualitative approach we, firstly, develop a contextual Environmental Separation Index (ESI) decision tool to help outsourcing firms in making more informed decisions when selecting outsourcees and outsourcing locations. Secondly, we operationalise the ESI as intuitive and easy to use decision tool, yet with a provision to deliver a truly context proof outsourcee selection decision. Thirdly, we adopt a complexity theory lens to explain that narrowing the contextual outsourcer–outsourcee gap facilitates a mind-set shift in outsourcing relationships from hierarchies to networks and from controlling to empowering developing country outsourcees. We show from a complexity theory perspective how contextual separation gaps between developed country outsourcers and developing country outsourcees can be an effective way to grasp the evolutionary path of outsourcing relationships

An evolutionary complex systems decision-support tool for the management of operations

Purpose - The purpose of this is to add both to the development of complex systems thinking in the subject area of operations and production management and to the limited number of applications of computational models and simulations from the science of complex systems. The latter potentially offer helpful decision-support tools for operations and production managers. Design/methodology/approach - A mechanical engineering firm was used as a case study where a combined qualitative and quantitative methodological approach was employed to extract the required data from four senior managers. Company performance measures as well as firm technologies, practices and policies, and their relation and interaction with one another, were elicited. The data were subjected to an evolutionary complex systems (ECS) model resulting in a series of simulations. Findings - The findings highlighted the effects of the diversity in management decision making on the firm's evolutionary trajectory. The CEO appeared to have the most balanced view of the firm, closely followed by the marketing and research and development managers. The manufacturing manager's responses led to the most extreme evolutionary trajectory where the integrity of the entire firm came into question particularly when considering how employees were utilised. Research limitations/implications - By drawing directly from the opinions and views of managers, rather than from logical "if-then" rules and averaged mathematical representations of agents that characterise agent-based and other self-organisational models, this work builds on previous applications by capturing a micro-level description of diversity that has been problematical both in theory and application. Practical implications - This approach can be used as a decision-support tool for operations and other managers providing a forum with which to explore: the strengths, weaknesses and consequences of different decision-making capacities within the firm; the introduction of new manufacturing technologies, practices and policies; and the different evolutionary trajectories that a firm can take. Originality/value - With the inclusion of "micro-diversity", ECS modelling moves beyond the self-organisational models that populate the literature but has not as yet produced a great many practical simulation results. This work is a step in that direction

For the good of the group? Exploring group-level evolutionary adaptations using multilevel selection theory.

In this paper, we present an evolutionary framework, multilevel selection theory (MLS), that is highly amenable to existing social psychological theory and empiricism. MLS provides an interpretation of natural selection that shows how group-beneficial traits can evolve, a prevalent implication of social psychological data. We outline the theory and provide a number of example topics, focusing on prosociality, policing behavior, gossip, brainstorming, distributed cognition, and social identity. We also show that individual differences can produce important group-level outcomes depending on differential aggregation of individual types and relate this to the evolutionary dynamics underlying group traits. Drawing on existing work, we show how social psychologists can integrate this framework into their research program and suggest future directions for research

Cooperative Purchasing Micro-Evolutions: A Longitudinal International Study

This paper deals with the evolution of relatively young purchasing groups. Although previous research focussed on macro-evolutionary phases of purchasing groups, no attention has yet been paid to the intra-phase developments, the so-called ‘micro-evolutions’. Insight into micro-evolutions is crucial to better understand how purchasing groups (can) develop over time. We conducted three in-depth case studies in different countries and identified five dimensions of micro-evolutions: member relationships, objectives, activities, organisation, and resources. For each dimension, we provide an overview of micro-evolutions to guide purchasing groups in developing the dimension. We conclude that the dimension ‘activities’ is very important and that purchasing groups do not have to develop the dimensions simultaneously

When firms go international: Deliberate or random?

The Net Outward Investment Position (NOIP) indicator is insufficient for the purposes of understanding firms’ internationalization decision-making behaviour. The indicator does not allow for the withdrawal of insights into the structure of an economy, and is a weak predictor of the degree of Foreign Direct Investment (FDI). We argue that a typology of firms aggregated according to intrinsic characteristics of those firms is a better predictor of the degree of internationalization of an economy than the NOIP. We use a database of 2133 firms based in Portugal that are already internationalized, made available in AICEP, a government agency. We use multiple correspondence and cluster analyses to build a typology of firms, and obtain evidence of common characteristics of the constituent groups. We identify a typology of firms characterized by five types differentiated by firm age, length of internationalization process, sector of economic activity, legal status, and psychological/cultural proximity. These variables suggest an evolutionary, iterative, self-learning approach to internationalization, which can be better explained by the combined use of the Investment Development Path (IDP) framework, the Uppsala Evolutionary School, and Vernon´s Product Life Cycle theory. Additionally, we find that the most striking differences between developed and developing host countries are in terms of the economic sector, legal status of the firm, and belonging (or not) to an economic group. We establish a link between the IDP framework, the Uppsala Evolutionary school, and Vernon´s Product Life Cycle theory, using a categorization of firms made according to selected characteristics to understand the internationalization of firms.info:eu-repo/semantics/acceptedVersio