Organizational Learning from Extreme Performance Experience: The Impact of Success and Recovery Experience

This paper argues that two different types of a firm’s own extreme performance experiences—success and recovery—and their interactions can generate survival-enhancing learning. Although these types of experience often represent valuable sources of useful learning, several important learning challenges arise when a firm has extremely limited prior experience of the same type. Thus, we theorize that a certain threshold of a given type of experience is required before each type of experience becomes valuable, with low levels of experience harming the organization. Furthermore, we propose that success and recovery experience will interact to enhance each other’s value. These conditions can help overcome learning challenges such as superstitious learning or learning from small samples. We investigate our ideas using a sample of the U.S. commercial banks founded between 1984 and 1998. Our results indicate that both success and recovery experience of a firm generate survival-enhancing learning, but only after a certain level of experience is reached. Furthermore, success and recovery experience enhance each other’s learning value, consistent with the theories that emphasize the importance of richer and contrasting experience in providing useful knowledge. Our framework advances organizational learning theory by presenting a contingent model of the impact of success and recovery experience and their interaction

Selection-Based Learning: The Coevolution Of Internal And External Selection In High-Velocity Environments

To understand the effects of selection on firm-level learning, this study synthesizes two contrasting views of evolution. Internal selection theorists view managers in multiproduct firms as the primary agents of evolutionary change because they decide whether individual products and technologies are retained or eliminated. In contrast, external selection theorists contend that the environment drives evolution because it determines whether entire firms live or die. Though these theories differ, they describe tightly interwoven processes. In assessing the coevolution of internal and external selection among personal computer manufacturers across a 20-year period, we found that (1) firms learned cumulatively and adaptively from internal and partial external selection, the latter occurring when the environment killed part but not all of a firm; (2) internal and partial external selection coevolved, as each affected the other's future rate and the odds of firm failure; (3) partial external selection had a greater effect on future outcomes than internal selection; and (4) the lessons gleaned from prior selection were reflected in a firm's ability to develop new products, making that an important mediator between past and future selection events.Managemen

Justice Expectations and Applicant Perceptions

Expectations, which are beliefs about a future state of affairs, constitute a basic psychological mechanism that underlies virtually all human behavior. Although expectations serve as a central component in many theories of organizational behavior, they have received limited attention in the organizational justice literature. The goal of this paper is to introduce the concept of justice expectations and explore its implications for understanding applicant perceptions. To conceptualize justice expectations, we draw on research on expectations conducted in multiple disciplines. We discuss the three sources of expectations – direct experience, indirect influences, and other beliefs - and use this typology to identify the likely antecedents of justice expectations in selection contexts. We also discuss the impact of expectations on attitudes, cognitions, and behaviors, focusing specifically on outcomes tied to selection environments. Finally, we explore the theoretical implications of incorporating expectations into research on applicant perceptions and discuss the practical significance of justice expectations in selection contexts

A Theory of Challenge and Threat States in Athletes: a revised conceptualization

The Theory of Challenge and Threat States in Athletes (TCTSA) provides a psychophysiological framework for how athletes anticipate motivated performance situations. The purpose of this review is to discuss how research has addressed the 15 predictions made by the TCTSA, to evaluate the mechanisms underpinning the TCTSA in light of the research that has emerged in the last ten years, and to inform a revised TCTSA (TCTSA-R). There was support for many of the 15 predictions in the TCTSA, with two main areas for reflection identified; to understand the physiology of challenge and to re-evaluate the concept of resource appraisals. This re-evaluation informs the TCTSA-R which elucidates the physiological changes, predispositions, and cognitive appraisals that mark challenge and threat states. First, the relative strength of the sympathetic nervous system response is outlined as a determinant of challenge and threat patterns of reactivity and we suggest that oxytocin and neuropeptide Y are also key indicators of an adaptive approach to motivated performance situations and can facilitate a challenge state. Second, although predispositions were acknowledged within the TCTSA, how these may influence challenge and threat states was not specified. In the TCTSA-R it is proposed that one’s propensity to appraise stressors as a challenge that most strongly dictates acute cognitive appraisals. Third, in the TCTSA-R a more parsimonious integration of Lazarusian ideas of cognitive appraisal and challenge and threat is proposed. Given that an athlete can make both challenge and threat primary appraisals and can have both high or low resources compared to perceived demands, a 2x2 bifurcation theory of challenge and threat is proposed. This reflects polychotomy of four parts; high challenge, low challenge, low threat, and high threat. For example, in low threat, an athlete can evince a threat state but still perform well so long as they perceive high resources. Consequently, we propose suggestions for research concerning measurement tools and a reconsideration of resources to include social support. Finally, applied recommendations are made based on adjusting demands and enhancing resources.N/

Construct redundancy in process modelling grammars: Improving the explanatory power of ontological analysis

Conceptual modelling supports developers and users of information systems in areas of documentation, analysis or system redesign. The ongoing interest in the modelling of business processes has led to a variety of different grammars, raising the question of the quality of these grammars for modelling. An established way of evaluating the quality of a modelling grammar is by means of an ontological analysis, which can determine the extent to which grammars contain construct deficit, overload, excess or redundancy. While several studies have shown the relevance of most of these criteria, predictions about construct redundancy have yielded inconsistent results in the past, with some studies suggesting that redundancy may even be beneficial for modelling in practice. In this paper we seek to contribute to clarifying the concept of construct redundancy by introducing a revision to the ontological analysis method. Based on the concept of inheritance we propose an approach that distinguishes between specialized and distinct construct redundancy. We demonstrate the potential explanatory power of the revised method by reviewing and clarifying previous results found in the literature

Choice and performance of governance mechanisms: Matching contractual and relational governance to sources of asset specificity

We argue that the optimal configuration of contractual and relational governance mechanisms in an alliance is contingent not only on the amount of asset specificity, but on the nature of the asset involved in the alliance. Physical assets are more suited to contractual controls, while knowledge assets will be best suited to the use of relational governance mechanisms. Using data on alliances in the German telecommunications industry, we find that the choice of governance mechanisms is as hypothesized. In addition, relational and contractual governance mechanisms are perceived to perform better in the presence of knowledge and physical assets, respectively. Relational governance mechanisms improve overall alliance performance to the degree that knowledge assets are involved, but impair performance when property assets are involved. Our findings contribute to the literature on alliances, as well as the underlying literatures of transaction cost economics, the literature on relational governance, and recent work studying their interaction.Alliances, contractual governance mechanisms, relational governance mechanisms, asset specificity, telecommunications

Thereʼs no ʻIʼ in ʻEmergency Management Team:ʼ designing and evaluating a serious game for training emergency managers in group decision making skills

Serious games are games that are designed to educate rather than entertain. The game outlined and evaluated here was commissioned and designed as a tool to improve the group decision making skills of people who manage real-world emergencies such as floods, fires, volcanoes and chemical spills. The game design exploits research on decision making groups and applies pedagogically sound games design principles. An evaluation of the game design was carried out based on a paper prototype. Eight participants were recruited and assigned to two groups of four participants each. These groups were video recorded while playing the game and the video was analysed in terms of game actions and member participation. Results indicate that the group who behaved in a more appropriate manner for a decision making group were rewarded with more positive feedback from the game state. These findings suggest that the game itself delivers appropriate feedback to players on their collaborative behaviour and is thus fit for the purposes intended in the current project

Age differences in prospective memory for everyday life intentions : A diary approach

Peer reviewedPostprin

Purposeful empiricism: how stochastic modeling informs industrial marketing research

It is increasingly recognized that progress can be made in the development of integrated theory for understanding, explaining and better predicting key aspects of buyer–seller relationships and industrial networks by drawing upon non-traditional research perspectives and domains. One such non-traditional research perspective is stochastic modeling which has shown that large scale regularities emerge from the individual interactions between idiosyncratic actors. When these macroscopic patterns repeat across a wide range of firms, industries and business types this commonality suggests directions for further research which we pursue through a differentiated replication of the Dirichlet stochastic model. We demonstrate predictable behavioral patterns of purchase and loyalty in two distinct industrial markets for components used in critical surgical procedures. This differentiated replication supports the argument for the use of stochastic modeling techniques in industrial marketing management, not only as a management tool but also as a lens to inform and focus research towards integrated theories of the evolution of market structure and network relationships