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To determine the role of status information conveyance in a negative reward allocation setting.

Using previously published experimental data, we test the relative effects of status information conveyed by expressive and indicative status cues on the allocation of a negative reward. Further, we construct an alternative graph theoretic model of expectation advantage which is also tested to determine its model fit relative to the classic model of Reward Expectations Theory.

Results provide strong support for the conclusion that status information conveyed by expressive status cues influences reward allocations more than information conveyed by indicative cues. We also find evidence that our alternative graph theoretic model of expectation advantage improves model fit.

This research is the first to test the relative impact of expressive versus indicative status cues on the allocation of negative rewards and shows that status characteristics can have differential impacts on these allocations contingent on how characteristics are conveyed. Furthermore, the research suggests a graph theoretic model that allows for this differentiation based on information conveyance and provides empirical support for its structure in a negative reward allocation environment.

Future research is required to validate the results in positive reward situations.

The results show that an individual’s expectations are altered by varying the manner in which status information is presented, thereby influencing the construction and maintenance of status hierarchies and the inequalities those structures generate. Thus, this research has implications for any group or evaluative task where status processes are relevant.

Basic science, sometimes called “curiosity-driven research” at the National Science Foundation and other places, starts with a question that somehow stays in the mind, nagging for an answer. Such questions really are “puzzles”; they arise in an intellectual field or context, asking someone to fit pieces to an improving but incomplete picture of the social world. What makes a worthwhile puzzle is a missing part in understanding the picture, or a new piece of knowledge that does not seem to fit among other parts. Sometimes creative theorists can imagine a solution to one of the holes in the puzzle. If they are also empirical scientists, they devise ways to get evidence bearing on their ideas, and some of those ideas survive to give more complete and detailed pictures of the world. This chapter is the story of puzzles and provisional solutions to them, developed by dozens of men and women investigating status processes and status structures, using a coherent perspective, for over half a century.¹

The use of routines in the decision-making process of individuals, groups and organizations is a well accepted yet taken for granted phenomenon. One goal of organizations is to develop group routines that are efficient, but at the same time flexible. However, this presents a paradox because routines that are efficient at one point in time, or for a particular task, may persist, be unquestioned, and become increasingly inefficient for the group and the organization. This chapter develops a formal theory that describes the processes by which the legitimation of particular group structures impacts the development and use of group routines. The theory presented draws from theories of legitimation, expectation states theory, and institutional theory. The theory formally depicts three sources of legitimation: a referential belief structure (set of cultural beliefs) about expertise and leadership, authorization or superordinate support of a leader, and endorsement (support by group) of a leader. Specifically, the theory addresses: (1) how different sources of legitimation make groups more or less hierarchical; and (2) how the different sources of legitimation make group routines more or less flexible.

Purpose – Drawing from social psychology and economics, I propose several mechanisms that may affect ownership stakes among entrepreneurs, including norms of distributive justice, negotiation constraints, and network constraints. The processes are explored empirically for a representative dataset of entrepreneurial teams.

Methodology/Approach – Between 1998 and 2000, entrepreneurial teams were sampled from the U.S. population for the Panel Study of Entrepreneurial Dynamics. I analyze the distribution of ownership stakes at both the individual and group levels.

Findings – The results suggest that principles of macrojustice, affecting the distribution of resources in teams as a whole, deviate considerably from principles of microjustice, affecting the resources received by individual entrepreneurs. While aggregate inequality increases in teams that have a diverse set of members, the effect is not reducible to discrimination on the basis of individual status characteristics. Instead, the relational demography of teams – characterized in terms of the degree of closeness in network ties and homogeneity in demographic attributes – serves as a uniquely social predictor of between-group variation in economic inequality.

Originality/Value of the paper – Empirical research on inequality has paid little attention to the process of group exchange in organizational start-ups, where entrepreneurs pool resources and skills in return for uncertain or indirect payoffs. This paper offers both theoretical frameworks and empirical analyses to shed light on economic inequality among entrepreneurs.

To expand understanding of the motive, knowledge, and skill acquisition of criminal entrepreneurs while incarcerated and on release.

This chapter uses semi-structured interviews incorporating field observations from a convenience sample of ex-offenders in the state of Colorado, in the United States, who have been engaged in destructive entrepreneurship as well as local experts that work with ex-offenders in transition and reentry into society after a period of incarceration.

Many of these offenders’ actions outside of prison are highly entrepreneurial, with the creation of “ventures” that include production, inventory, sales, employees, managers, distribution, security, etc. When incarcerated with fellow “entrepreneurs,” tricks of the trade are exchanged producing even smarter destructive entrepreneurship upon release.

Limitations include a small sample of interviewees, responses are anecdotal, subjective truth, and localized to the state of Colorado in the United States.

The findings inform research on entrepreneurial cognition set in the destructive space, as well as reveal methods and intentions that lead to a better understanding of the “structure of the reward” for such behavior.

An examination of this behavior and underlying motives provides insights as to how society might be better prepared for and redirect destructive entrepreneurial behavior toward more positive outcomes.

The current sparse literature engaging the concept of destructive entrepreneurship generally does so at the country, institution, or corporate level. This chapter focuses on destructive entrepreneurial behavior at the individual (micro venture) level and provides recommendations for policy consideration.

The purpose of this chapter is to extend research and theory on learning and performance orientations to multiple levels of analysis. We begin by introducing a model describing the impact of individual learning and performance orientations on attentional focus, response to failure, experimentation, and motivation, and identify potential sources of these orientations. We then describe how learning and performance orientations are linked to incremental and profound change, and theoretically based propositions are presented to guide future research efforts. Leadership, organizational learning, and strategic human resource management are discussed in relation to the model, and implications of the framework for future research and practice are revealed.

This chapter focused on presenting the result of the Delphi study from the questionnaire distributed to the experts. The Delphi technique was used for modelling the construction supply chain management (CSCM) practice in the fourth industrial revolution (4IR) era. The technique was also used to predict the supply chain management's (SCM) possible trends in the construction industry. A total of 15 experts were selected for this study based on their working experience. The Delphi study also validated the gaps (organisational culture and 4IR component) identified from the existing CSCM model. The findings from the Delphi study revealed that organisational culture has a significant impact on the practice of CSCM in the 4IR era. Regarding adopting the 4IR component for the CSCM in Nigeria, the Delphi study revealed that smart management and virtualisation are the most adopted. Unfortunately, the cyber-physical system, the heartbeat of the 4IR, is yet to be fully implemented for CSCM practice in the Nigerian construction industry.

Team composition research considers how configurations (e.g., team-level diversity) of team members’ attributes (e.g., personality, values, demographics) influence important outcomes. Our chapter describes key issues in understanding and effectively managing team composition over time.

We discuss how context shapes team composition. We review empirical research that examined relationships between team composition, and team processes and emergent properties over multiple time points. We review research that examined how composition can be effectively managed over the lifecycle of a team.

Context shapes the nature of team composition itself (e.g., dynamic composition). To the extent that membership change, fluid boundaries, and multiple team membership are present should be accounted for in research and practice. The research we reviewed indicated no, or fleeting effects for surface-level (e.g., demographics) composition on the development of team processes and emergent properties over time, although there were exceptions. Conversely, deep-level composition affected team processes and emergent properties early in a team’s lifespan as well as later. Team composition information can be used in staffing; it can also inform how to best leverage training, leadership, rewards, tasks, and technology to promote team effectiveness.

Teams are the building blocks of contemporary organizations. Understanding and effectively managing team composition over time can increase the likelihood of team.

Our chapter provides novel insights into key issues in understanding and effectively managing team composition over time.