http://hdl.handle.net/1893/41 This community contains the ePrints and eTheses produced by Management, Work and Organisation's staff and students. Thu, 08 Oct 2026 11:05:07 GMT 2026-10-08T11:05:07Z http://hdl.handle.net/1893/38377 Title: Do Professionals Choke in the Face of Pressure and Distraction? Author(s): Butler, David; Butler, Robert; Singleton, Carl Abstract: We ask whether facing partisan audiences affects the execution of a skilled task. Our setting is penalty shootouts in the high-stakes environment of elite professional football (soccer). In this context, performers take penalties under intense pressure, while facing a subset of the crowd behind the goal who attempt to distract them through visual and auditory tactics. Using data on 1,322 penalties taken in the later rounds of major English cup competitions from 1992 to 2026, we find no evidence that having supportive allied spectators behind the goal provides a strategic advantage. This implies that elite professionals in this domain can effectively screen out crowd-induced distractions when performing under extreme stress. Tue, 01 Dec 2026 00:00:00 GMT http://hdl.handle.net/1893/38377 2026-12-01T00:00:00Z http://hdl.handle.net/1893/38353 Title: The strategic transformation process of new energy technology firms from a dynamic capabilities perspective: a case study of company E Author(s): Wu, Jun Abstract: In the context of the global energy system accelerating its transition towards low-carbon, intelligent and systematic development, new energy technology enterprises are confronted with multiple uncertainties across technology, policy, markets and industry boundaries. This thesis takes Company E as a single case study, exploring the process and mechanism of strategic transformation of new energy technology enterprises from a dynamic capabilities perspective. It asks what happened during the strategic transformation, why it could continue, and how dynamic capabilities play a role. This research adopts an interpretivist qualitative case study approach, integrating 15 semi-structured interviews, participatory observations, and secondary data, and conducts the research through thematic analysis, coding analysis, and process analysis. The research reveals that the strategic transformation of Company E was not a one-off leap but went through three stages: the product breakthrough period (2007-2015), the multi-business expansion period (2016-2020), and the ecosystem leadership period (2021 to present). The strategic logic evolved from competing in wind turbine products to providing comprehensive clean energy solutions and building a zero-carbon ecosystem. Dynamic capabilities have played a pivotal role in connecting external changes with internal strategic actions: the company sensed technological, policy, and market changes, seized new strategic windows, and reconfigured resources, organizational structures, and ecosystem relationships. Additionally, dynamic capabilities exhibited differentiated forms at different stages, namely technology-oriented, portfolio-integrative, and ecosystem-shaping dynamic capabilities. The contribution of this research lies in deepening the understanding of the evolution of strategic transformation stages in new energy technology enterprises from a process perspective, revealing the mediating mechanism of dynamic capabilities in driving strategic transformation, and refining the specific manifestations and micro-foundations of dynamic capabilities at different stages. The research also provides management insights for new energy technology enterprises to enhance their sensing, seizing, and reconfiguring capabilities and promote continuous strategic upgrading. Thu, 01 Jan 2026 00:00:00 GMT http://hdl.handle.net/1893/38353 2026-01-01T00:00:00Z http://hdl.handle.net/1893/38320 Title: Inference in downstream analysis using individual-level posterior means from mixed logit models Author(s): Campbell, Danny; Sandorf, Erlend Dancke; Börger, Tobias; Dekker, Thijs Abstract: Mixed logit models are widely used to recover individual-level preferences for secondary analysis, yet both first-stage sampling uncertainty and variability in conditional distributions are often overlooked. This technical note illustrates the implications of ignoring these sources of uncertainty and provides reproducible R code, compatible with the apollo package, to better approximate the empirical sampling distribution and improve the reliability of second-stage inference. Tue, 01 Sep 2026 00:00:00 GMT http://hdl.handle.net/1893/38320 2026-09-01T00:00:00Z http://hdl.handle.net/1893/38279 Title: Exploring age and income distribution effects for willingness-to-pay to plant climate forests in Norway Author(s): Campbell, Danny; Lindhjem, Henrik; Grimsrud, Kristine M; Sandorf, Erlend D Abstract: There has been an increasing interest in investigating the distributional impacts of climate policies. In the present paper, we are specifically interested in understanding how people’s preferences and priorities for a carbon sequestration programme in Norway differ across age and income distributions. We develop and use local conditional logit models with kernel smoothing to accommodate observed preference heterogeneity within a semi-parametric econometric framework. This framework allows us to capture non-linear preference heterogeneity without making additional assumptions about the pattern or distribution of preferences. This represents a parsimonious way to uncover observed preference heterogeneity in the presence of categorical variables with many categories. The findings reveal that age is a key driver – while younger individuals are more likely to choose the status quo, they assign relatively higher values to mitigation policy attributes as a share of their income, which suggests that those who will receive the benefits of the programme are willing to pay relatively more. We discuss the implications of the results for policy. Fri, 29 May 2026 00:00:00 GMT http://hdl.handle.net/1893/38279 2026-05-29T00:00:00Z