This community contains the ePrints and eTheses produced by Management, Work and Organisation's staff and students. http://hdl.handle.net/1893/41 2026-10-03T03:03:54Z 2026-10-03T03:03:54Z Wu, Jun http://hdl.handle.net/1893/38353 2026-10-01T08:34:19Z 2026-01-01T00:00:00Z

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.

2026-01-01T00:00:00Z Campbell, Danny Sandorf, Erlend Dancke Börger, Tobias Dekker, Thijs http://hdl.handle.net/1893/38320 2026-09-18T00:25:17Z 2026-09-01T00:00:00Z

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.

2026-09-01T00:00:00Z Campbell, Danny Lindhjem, Henrik Grimsrud, Kristine M Sandorf, Erlend D http://hdl.handle.net/1893/38279 2026-09-07T14:16:16Z 2026-05-29T00:00:00Z

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.

2026-05-29T00:00:00Z Pham, Tho Schaefer, Daniel Singleton, Carl http://hdl.handle.net/1893/38254 2026-08-27T00:01:28Z 2026-08-25T00:00:00Z

Title: Unequal Hiring Wages and Their Impact on the Gender Pay Gap Author(s): Pham, Tho; Schaefer, Daniel; Singleton, Carl Abstract: Payroll data from Great Britain reveal that men are paid more than women upon entry into firms. Although this hiring wage gap has narrowed over the past two decades, it still accounts for over two-thirds of the steady-state gender pay gap-the wage gap that would eventually prevail under constant employment levels. A significant part of this hiring wage gap is not explained by men and women working in different firms and occupations. Even when hiring men and women into the same job, there remains an unexplained hiring wage gap that favours men by 2.4 log points.

2026-08-25T00:00:00Z