Bøger af Peter O'Connor

Slow wonder bears witness to the possibilities of the imagination. In a series of letters the authors playfully imagine alternatives to current orthodoxies that privilege technocratic approaches to education that have strangled discussion about what it might mean to make education good and right, or even beautiful. The authors position the imagination as a powerful site of resistance within education and academic life. They unpack their philosophical positionings through vignettes of their teaching practice, poetry written as reflective musings and discursive theoretical pieces, including letters they have written to others. They attempt to marry the poetic and the academic, the rational and the affective, to model a slow approach to wondering about the joy, beauty and possibilities of life. In this spirit, they contemplate new ways to think and live in education.

For hotels wanting to sell through online channels, user reviews have become incredibly influential. Every customer has an opinion and feels entitled to share it with the world. As a result, both on dedicated review sites such as TripAdvisor.com or built into property pages on Online Travel agency websites, what past customers are saying about you can make or break your business, making proactively managing your online reputation essential. However, responding to harsh and sometimes unwarranted criticism on a multitude of websites is often an uphill battle. With the process new to most hoteliers, many struggle to manage it effectively, or sometimes even know where to start, resulting in missed opportunities and a damaged online reputation. Thankfully help is at hand. Based on techniques learned working with both independent and chain hotels, Reviewed! The hoteliers' unofficial guide will assist you in defending, controlling and enhancing your property's online reputation. Using a highly practical approach, this guide provides precise, detailed, step-by-step solutions, tactics and suggestions to help you to: - Better understand the role and importance of user reviews in today's highly competitive online booking environment- Manage your hotel's pre-purchase image so you can more easily exceed guest expectations and drive better user reviews- Use proven strategies to respond to reviews, both positive and negative- Challenge and remove suspicious or unwarranted reviews- Appreciate how the main review channels work and how best to manage their idiosyncrasies and requirements - Assess which software tools to use to assist in online reputation management - Understand how you can drive additional favourable reviews to increase your rating scores and positioning- Use reviews as a free corporate intelligence tool to better understand your, and your competitors', relative strengths and weaknesses.

Exploring the many complexities of transatlantic politics and culture, Peter O'Connor examines developing British ideas about US sectionalism, from the abolition of slavery in the British Empire and the Nullification Crisis in South Carolina to the Civil War.

The Black-Scholes model was a revelation and took a large step forward in terms of mathematical application in quantitative finance. An empirical trait is that the model has generally been used by practitioners in an ad-hoc fashion. This may explain why actual option prices have rarely converged to respective Black-Scholes estimates. Empirical options research has highlighted systematic biases within the model and has attempted to correct for these by proposing models that offer greater consistency in both internal processes and pricing performance. In this thesis, we explore the fundamental reasons for failure in the Black-Scholes and analyse the benefit of augmenting the model for processes that may be more consistent with the real world. We place emphasis on consistency between the option-implicit distribution of the underlying asset and the actual implicit distribution of the underlying asset. Using a three year FTSE 100 option dataset, we quantitatively examine the pricing consistency and reliability of such augmented models.