Search results

The aim of this study was to explore and understand the leadership experiences of medical consultants prior to a major hospital move. Health and care is becoming increasingly complex and there is no greater challenge than the move to a new hospital. Effective leadership has been identified as being essential for successful transition. However, there is very little evidence of how medical consultants experience effective leadership.

A qualitative methodology was utilized with one-to-one semi-structured interviews conducted with ten medical consultants. These were transcribed verbatim and analyzed using inductive thematic analysis. The research complied with the consolidated criteria for reporting qualitative research (COREQ).

Four themes were found to influence medical consultants’ experience of leadership: collaboration, patient centredness, governance and knowledge mobilization. Various factors were identified that negatively influenced their leadership effectiveness. The findings suggest that there are a number of factors that influence complexity leadership effectiveness. Addressing these areas may enhance leadership effectiveness and the experience of leadership in medical consultants.

This study provides a rich exploration of medical consultants’ experience of collective leadership prior to a transition to a new hospital and provides new understandings of the way collective leadership is experienced in the lead up to a major transition and makes recommendations for future leadership research and practice.

The findings suggest that there are a number of factors that influence complexity leadership effectiveness. Addressing these areas may enhance leadership effectiveness and the experience of leadership in medical consultants.

Clinical leadership is associated with better outcomes for patients therefore any interventions that enhance leadership capability will improve outcomes for patients and therefore benefit society.

This is the first research to explore medical consultants’ experience of collective leadership prior to a transition to a new hospital.

This chapter revisits, reinforces, and extends our view of the underpinning principles and practices of school leadership in Aotearoa New Zealand. It presents extracts from case studies of schools that illustrate the crucial role of the principal in ensuring ongoing improvement and innovation while working in increasingly complex and uncertain environments. The chapter discusses the need to understand the importance of relationships between individuals and groups, actions, contexts, environments, and cultures where processes of interaction shape principals' practices. Features of complexity thinking are used as a lens through which to understand schools as complex adaptive systems and illustrate the importance of the dynamics of the interactions among the agents and elements within the New Zealand educational system. The chapter concludes by drawing together the implications for leadership that emerge across this chapter.

Sustainability features in the national and local policies of many countries, but there is often a lack of clarity about what it means in practice. Interpretations of sustainable development (or sustainable cities and places) vary widely between different countries and social, economic, political, and environmental actors and interest groups influenced by underlying values and specific contexts. Considering the already-felt impacts of rapid climate change and ecological breakdown, continuing with business as usual will add more pollution, resource depletion, and lead to economic and societal turmoil under a massive shift or collapse in ecological and climate systems. A significant factor in past and current policy failures is that “weak” rather than “strong” sustainability models have been adopted laced with a voter-enticing rhetoric yet delaying painful (to the current status quo), but essential, changes in production and consumption and a shift in focus away from profit toward human and ecological well-being. This requires clear and ambitious legal, regulatory, and policy frameworks, yet also flexible approaches and “agency” of citizens, employees, employers, and politicians for transformation across different geographical and institutional levels, moving away from competition and greed, making room for experimentation and creativity and old and new forms of collaboration and sharing. Relevant concepts, principles, examples and critiques can be gleaned from the ecological economic, social–ecological transformation, and planning literature, offering direction for the kinds of shifts in placemaking to achieve social and environmental justice and well-being.

This exploratory study aimed to investigate law enforcement officers’ decision-making processes in high-stress scenarios, exploring variations based on experience and how cognitive demands influence officer decision-making processes.

Employing a naturalistic decision-making approach and macrocognitive framework, the study utilizes scenario-based virtual reality simulations and qualitative interviews to examine the decision-making processes of law enforcement officers in high-stress policing contexts.

Thematic coding of interview data from twelve LEOs immediately following a high-stress virtual reality task revealed differences in decision-making processes and cognitive demands between novice and expert officers. Findings also revealed differences in the type of cognitive demands experienced by officers at key points in the simulated scenario.

The authors offer theoretical and practical contributions toward an increased understanding of officer decision-making, factors and conditions that impact LEO decisions and potential mitigation strategies that law enforcement organizations may leverage to improve officer decision-making in high-stress contexts.

The purpose of this paper is to describe the conversion of the former coal mining site in Kamp-Lintfort into a public park and learning space for biodiversity. In 2020, an urban green space was established, featuring various aquatic and terrestrial habitats and a high level of biological diversity in the city centre with broad community support.

This study presents secondary data of a literature review on participatory management of biodiversity in urban green spaces, with a focus on the sustainability context, participation approaches, theoretical frameworks and the role of education. The example of Zechenpark Kamp-Lintfort (Germany) shows how urban green space development can meet the challenging demands of inner city development while fostering knowledge generation via citizen science and participatory biodiversity management. The study collected primary data on plant biodiversity using a citizen science approach to raise awareness and create opportunities for human–nature interaction.

Sustainable Development Goal (SDG) 11 is the most important development goal in the context of participatory biodiversity management of urban green spaces. Most of the studies have a place-based focus and integration of local knowledge is the main reason for a participatory approach. The findings show how a green learning space can offer opportunities for digital learning as well as participatory biodiversity management in urban areas. The project lead to an increase in local citizens’ awareness of biodiversity. Based on a literature review, this report identifies challenges and opportunities for establishing a green learning space for biodiversity education. The example illustrates that an urban green space can provide numerous possibilities for citizens and students to get involved and that it can foster the sustainable development of a new urban neighbourhood.

A place-based approach limits generalisability. To overcome this limitation, a literature review was conducted, and the location was compared to two parks with similar site conversion history.

The example of developing an urban green space can inspire universities to take an active role in biodiversity management in urban green spaces, integrating biodiversity into university activities and creating a positive impact in the urban environment.

Analysis of studies in the field shows that education deserves a more prominent role in theoretical frameworks.

The study represents an example of transition and citizen-led participatory management of biodiversity from a medium-sized city, transformation processes covering these aspects are underrepresented in literature.

Digital transformation in nursing education is crucial for enhancing pedagogical practices and preparing future healthcare professionals for the rapidly evolving healthcare landscape. This chapter explores how the integration of digital technologies in higher education has revolutionising teaching methodologies and offered new opportunities to enhance learning experiences. It identifies gaps in digital learning modalities for undergraduate and postgraduate nursing students and discusses strategies to strengthen online literacy preparation and transition into the healthcare sector's digital transformation landscape and the 4th industrial era economy. The chapter examines best practices and challenges in digital transformation in nursing education such as blended learning environments, simulation and virtual reality, mobile learning applications and gamification strategies. Additionally, it addresses challenges in curriculum development including insufficient technological infrastructure, faculty training and development, assessment strategies and resistance to change among faculty and students. This chapter aims to provide insights and recommendations for educators, curriculum developers and policymakers in implementing successful digital transformation in nursing education.

Responding to calls for deeper analysis of the conceptual foundations of service infusion in manufacturing, this paper examines the underlying assumptions that: (i) manufacturing firms incorporating services follow a pathway, moving from pure-product to pure-service offerings, and (ii) profits increase linearly with this process. We propose that these assumptions are inconsistent with the premises of behavioural and learning theories.

Machine learning algorithms are applied to test whether a successive process, from a basic to a more advanced offering, creates optimal performance. The data were gathered through two surveys administered to USA manufacturing firms in 2021 and 2023. The first included a training sample comprising 225 firms, whilst the second encompassed a testing sample of 105 firms.

Analysis shows that following the base-intermediate-advanced services pathway is not the best predictor of optimal performance. Developing advanced services and then later adding less complex offerings supports better performance.

Manufacturing firms follow heterogeneous pathways in their service development journey. Non-servitised firms need to carefully consider their contextual conditions when selecting their initial service offering. Starting with a single service offering appears to be a superior strategy over providing multiple services.

The machine learning approach is novel to the field and captures the key conditions for manufacturers to successfully servitise. Insight is derived from the adoption and implementation year datasets for 17 types of services described in previous qualitative studies. The methods proposed can be extended to assess other process-based models in related management fields (e.g., sand cone).

This study investigates the variables that impact initial public offerings (IPO) initial returns witnessed in Pakistan from 1996 to 2019 using pre-listing information variables, namely country-level institutional quality, sponsor ownership and pricing mechanism. IPO oversubscription is included as a moderating variable.

This research is motivated by the premise that the Pakistani IPO market is characterised by a broad range of institutional and regulatory frameworks. Multiple regression studies, i.e. ordinary least square (OLS) and quantile least square (QLS), were performed on 102 IPOs issued on the Pakistan stock market.

The present study findings suggest that the quality of public service, the independence of civil service from political influences and the legitimacy of government increase investors’ confidence in the prospects of companies, hence increasing the demand for IPO and initial returns. In addition, good regulatory quality enhances market transparency and lowers uncertainty, hence signalling high-quality IPOs and leading in substantial initial returns. The negative effect of the lock-up ratio on the initial return of an IPO is consistent with the risk-return trade-off theory, which asserts that the lock-up ratio indicates the quality of the IPO.

The results provide market regulators, policymakers, investors and underwriters with useful data for assuring proper subscriptions of issued shares, as these variables are crucial for company transparency and market efficiency. The findings will also help investors make better IPO subscription decisions.

The present study explains the important influencing factors of IPO initial return in the Pakistani market.

Political factors play a crucial role in China's initial public offering (IPO) market due to its distinctive institutional context (i.e. “economic decentralization” and “political centralization”). Given the significant level of IPO underpricing in China, we examine the impact of local political uncertainty (measured by prefecture-level city official turnover rate) on IPO underpricing.

Using 2,259 IPOs of A-share listed companies from 2001 to 2019, we employ a structural equation model (SEM) to examine the channel (voluntarily lower the issuance price vs aftermarket trading) through which political uncertainty affects IPO underpricing. We check the robustness of the results using bootstrap tests, adopting alternative proxies for political uncertainty and IPO underpricing and employing subsample analysis.

Local official turnover-induced political uncertainty increases IPO underpricing by IPO firms voluntarily reducing the issuance price rather than by affecting investor sentiment in aftermarket trading. These relations are stronger in firms with pre-IPO political connections. The effect of political uncertainty on IPO underpricing is also contingent upon the industry and the growth phase of an IPO firm, more pronounced in politically sensitive industries and firms listed on the growth enterprise market board.

Local government officials in China usually have a short tenure and Chinese firms witness significantly severe IPO underpricing. By introducing the SEM model in studying China IPO underpricing, this study identifies the channel through which local government official turnover to political uncertainty on IPO underpricing.

Given the sudden increase in plant investments across the manufacturing sector due to recent disruptions in the global supply chain caused by the COVID pandemic, the Ukraine/Russian war, ocean piracy incidents, and others, there is a need to strategically align the investments decisions with the overall business strategy. This study aims to establish whether strategic alignment enhances the effect of plant investments on operational performance.

Using the fifth version of the Global Manufacturing Research Group (GMRG V) dataset, we employ a structural equation model (SEM) to establish the moderating role of strategic alignment in plant investments-operational performance relationships.

The results suggest that strategic alignment enhances the positive effect of plant investments on operational performance, especially in cost, delivery, flexibility, and innovation. However, we found partial support for the moderating role of strategic alignment on quality performance.

Although the study was based on the GMRG global dataset and numerous papers have been published using the same dataset, the use of a convenience sample on a select group of companies may limit the generalizability of the results. With the increase in new plant investments in computer chip manufacturing, electronics, and electrical in recent years, the findings could help corporate executives maximize the benefits of their investment decisions. Companies should ensure that their plant investment decisions are strategically aligned with their overall business strategy to achieve optimal outcomes.

With the increase in new plant investments in computer chip manufacturing, electronics, and electrical in recent years, the findings could help corporate executives maximize the benefits of their investment decisions. Companies should ensure that their plant investment decisions are strategically aligned with their overall business strategy to achieve optimal outcomes.

The study comprehensively demonstrates that the extent of improvement in operational performance depends on how closely plant investment decisions align with the overall company strategy. Manufacturers should align major investment decisions with competitive priorities driven by market requirements to enhance operational performance.