Lancaster University

About: Lancaster University is a education organization based out in Lancaster, Lancashire, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 13080 authors who have published 44563 publications receiving 1692277 citations. The organization is also known as: The University of Lancaster & Lancaster University.

Learning by doing – An exploration of experience, critical incidents and reflection in entrepreneurial learning

Abstract: This research explores the learning process of entrepreneurs in relation to the parallel processes of personal and business development. Building on theories of individual learning and of the business life‐cycle, this paper discusses the impact of critical incidents from an individual perspective and, in particular, their role within entrepreneurial learning. A phenomenological case study approach was employed, with the sample consisting of six small business owners. The interviews concentrated on the developmental history of the business, focusing on critical incidents as they arose in the general conversation. The findings emphasise the complexity of the concept of “critical incident” and demonstrate that entrepreneurs often face prolonged and traumatic critical periodsor episodes, illustrating the emotionally‐laden nature of these events. Furthermore, the critical incidents described here resulted in fundamental, higher‐level learning, and highlight the need for mentoring support programmes designed to help entrepreneurs to interpret critical incidents as learning experiences, in order to increase the power of the learning outcomes. The authors conclude by stressing the need for further theory development that conceptualises the complex and dynamic interactivity between the individual and the business.

Sensitivity analysis of environmental models

Abstract: Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model can be attributed to variations of its input factors. SA is increasingly being used in environmental modelling for a variety of purposes, including uncertainty assessment, model calibration and diagnostic evaluation, dominant control analysis and robust decision-making. In this paper we review the SA literature with the goal of providing: (i) a comprehensive view of SA approaches also in relation to other methodologies for model identification and application; (ii) a systematic classification of the most commonly used SA methods; (iii) practical guidelines for the application of SA. The paper aims at delivering an introduction to SA for non-specialist readers, as well as practical advice with best practice examples from the literature; and at stimulating the discussion within the community of SA developers and users regarding the setting of good practices and on defining priorities for future research. We present an overview of SA and its link to uncertainty analysis, model calibration and evaluation, robust decision-making.We provide a systematic review of existing approaches, which can support users in the choice of an SA method.We provide practical guidelines by developing a workflow for the application of SA and discuss critical choices.We give best practice examples from the literature and highlight trends and gaps for future research.

A meta-analysis of work demand stressors and job performance: examining main and moderating effects

Abstract: We quantitatively integrated 169 samples (N= 35,265 employees) that have been used to investigate the relationships of the following 7 work-related stressors with job performance: role ambiguity, role conflict, role overload, job insecurity, work–family conflict, environmental uncertainty, and situational constraints. Overall, we obtained a negative mean correlation between each job performance measure and each stressor included in our analyses. As hypothesized, role ambiguity and situational constraints were most strongly negatively related to performance, relative to the other work-related stressors. Analysis of moderators revealed that (a) the negative correlation of role overload and performance was higher among managers relative to nonmanagers; (b) publication year moderated the relation of role ambiguity and role overload with performance, although in opposite directions; (c) the correlations obtained for published versus unpublished studies were not significantly different; and (d) using the Rizzo et al. scale of role ambiguity and role conflict decreased the magnitude of the correlations of these stressors with performance, relative to other scales. Theoretical contributions, future research directions, and practical implications are discussed.