Perpetuating sales: enabling incumbent survival of radical technological shifts

This paper examines an industry whose incumbents’ specialised complimentary assets were their operations management and distribution channels. This advantage was seriously undermined by the advent of digital distribution. Radical technological change theories dictate that if incumbents in an industry without specialised complimentary assets will be replaced by entrants. This did not happen, and extant theories of incumbent survival do not explain why the incumbents remained dominant in the industry. We propose that survival is due to the unique industry characteristic of perpetuating sales. This paper will explain what is a perpetuating sales model and why does it enable incumbent survival?

The senior female international managerial career move: a qualitative study in a European context

Research investigating the position of women in management has, largely, been confined within national boundaries. Over the last fifteen years, empirical studies of women in international management have been undertaken, predominantly in North America. In this research field, many questions remain unanswered or have been only partially addressed. The particular focus of this study is on the senior female international managerial career move in Europe — a relatively unexplored area. Fifty senior female expatriate managers were interviewed, representing a wide range of industry and service sectors. The study, for the first time, assesses an exclusively senior sample of female managers who have made at least one international career move. This study of senior females in international management makes a theoretical contribution, not only to the analysis of gender and international human resource management, but also to wider debates within the contemporary women in management and career theory literatures. The aims of the study were to develop an understanding of the senior female international career move in a European context in order to more fully understand both the covert and overt barriers that may limit women’s international career opportunities. The results of the study show that the senior international career move has largely been developed along a linear male model of career progression, a development which, taken together with gender disparity both in organisations and family responsibilities, frequently prevents women employees from reaching senior managerial positions. The study proposes a model of the senior female international managerial career move, thereby contributing primarily to the international human resource management literature. The implications of the study for research literatures in women in management and career theory are also explored and a future research agenda developed.

Finding optimal alternatives based on efficient comparative preference inference

Choosing the right or the best option is often a demanding and challenging task for the user (e.g., a customer in an online retailer) when there are many available alternatives. In fact, the user rarely knows which offering will provide the highest value. To reduce the complexity of the choice process, automated recommender systems generate personalized recommendations. These recommendations take into account the preferences collected from the user in an explicit (e.g., letting users express their opinion about items) or implicit (e.g., studying some behavioral features) way. Such systems are widespread; research indicates that they increase the customers' satisfaction and lead to higher sales. Preference handling is one of the core issues in the design of every recommender system. This kind of system often aims at guiding users in a personalized way to interesting or useful options in a large space of possible options. Therefore, it is important for them to catch and model the user's preferences as accurately as possible. In this thesis, we develop a comparative preference-based user model to represent the user's preferences in conversational recommender systems. This type of user model allows the recommender system to capture several preference nuances from the user's feedback. We show that, when applied to conversational recommender systems, the comparative preference-based model is able to guide the user towards the best option while the system is interacting with her. We empirically test and validate the suitability and the practical computational aspects of the comparative preference-based user model and the related preference relations by comparing them to a sum of weights-based user model and the related preference relations. Product configuration, scheduling a meeting and the construction of autonomous agents are among several artificial intelligence tasks that involve a process of constrained optimization, that is, optimization of behavior or options subject to given constraints with regards to a set of preferences. When solving a constrained optimization problem, pruning techniques, such as the branch and bound technique, point at directing the search towards the best assignments, thus allowing the bounding functions to prune more branches in the search tree. Several constrained optimization problems may exhibit dominance relations. These dominance relations can be particularly useful in constrained optimization problems as they can instigate new ways (rules) of pruning non optimal solutions. Such pruning methods can achieve dramatic reductions in the search space while looking for optimal solutions. A number of constrained optimization problems can model the user's preferences using the comparative preferences. In this thesis, we develop a set of pruning rules used in the branch and bound technique to efficiently solve this kind of optimization problem. More specifically, we show how to generate newly defined pruning rules from a dominance algorithm that refers to a set of comparative preferences. These rules include pruning approaches (and combinations of them) which can drastically prune the search space. They mainly reduce the number of (expensive) pairwise comparisons performed during the search while guiding constrained optimization algorithms to find optimal solutions. Our experimental results show that the pruning rules that we have developed and their different combinations have varying impact on the performance of the branch and bound technique.