The ecological dynamics of decision-making in sailing

Competitive sailing is characterised by continuous interdependencies of decisions and actions. All actions imply a permanent monitoring of the environmental conditions, such as intensity and direction of the wind, sea characteristics, and the behaviour of the opponent sailors. These constraints on sailors’ behavior are in constant change implying continuous adjustments in sailors’ actions and decisions. Among the different parts of a regatta, tactics and strategy at the start are particularly relevant. Among coaches there is an adage that says that “the start is 50% of a regatta” (Houghton, 1984; Saltonstall, 1983/1986). Olympic sailing regattas are performed with boats of the same class, by one, two or three sailors, depending on the boat class. Normally before the start, sailors visit the racing venue and analyse wind and sea characteristics, in order to fine- tune their boats accordingly. Then, five minutes before the start, sailors initiate starting procedures in order to be in a favourable position at the starting line (at the “second zero”). This position is selected during the start period according to wind shifts tendencies and the actions of other boats (Figure 11.1). Only after the start signal can the boats cross the imaginary starting line between the race committee signal boat “A” and the pin end boat. The start takes place against the wind (upwind), and the boats start racing in the direction of mark 1. Based on the evaluation of the sea and wind characteristics (e.g. if the wind is stronger at a particular place on the course), sailors re- adjust their strategy for the regatta. This strategy may change during the regatta, according to wind changes and adversary actions. More to the point, strategic decisions constrain and are constrained by on- line decisions during the regatta.

A methodology to assess the competitiveness of real estate developers in China

Real estate, or property development, is considered one of the pillar industries of the Chinese economy. As a result of the opening up of the economy as well as the "macro-control" policy of the Central Chinese Government to moderate the frenetic pace of growth of the economy, the real estate industry has faced fierce competition and ongoing change. Real estate firms in China must improve their competitiveness in order to maintain market share or even survive in this brutally competitive environment. This study developed a methodology to evaluate the competitiveness of real estate developers in the China and then used a case study to illustrate the effectiveness of the evaluation method. Four steps were taken to achieve this. The first step was to conduct a thorough literature review which included a review of the characteristics of real estate industry, theories about competitiveness and the competitive characteristics of real estate developers. Following this literature review, the competitive model was developed based on seven key competitive factors (the 'level 1') identified in the literature. They include: (1) financial competency; (2) market share; (3) management competency; (4) social responsibility; (5) organisational competency; (6) technological capabilities; and, (7) regional competitiveness. In the next step of research, the competitive evaluation criteria (the 'level 2') under each of competitive factors (the 'level 1') were evaluated. Additionally, there were identified a set of competitive attributes (the 'level 3') under each competitive criteria (the 'level 2'). These attributes were initially recognised during the literature review and then expanded upon through interviews with multidisciplinary experts and practitioners in various real estate-related industries. The final step in this research was to undertake a case study using the proposed evaluation method and attributes. Through the study of an actual real estate development company, the procedures and effectiveness of the evaluation method were illustrated and validated. Through the above steps, this research investigates and develops an analytical system for determining the corporate competitiveness of real estate developers in China. The analytical system is formulated to evaluate the "state of health" of the business from different competitive perspectives. The result of empirical study illustrates that a systematic and structured evaluation can effectively assist developers in identifying their strengths and highlighting potential problems. This is very important for the development of an overall corporate strategy and supporting key strategic decisions. This study also provides some insights, analysis and suggestions for improving the competitiveness of real estate developers in China from different perspectives, including: management competency, organisational competency, technological capabilities, financial competency, market share, social responsibility and regional competitiveness. In the case study, problems were found in each of these areas, and they appear to be common in the industry. To address these problems and improve the competitiveness and effectiveness of Chinese real estate developers, a variety of suggestions are proposed. The findings of this research provide an insight into the factors that influence competitiveness in the Chinese real estate industry while also assisting practitioners to formulate strategies to improve their competitiveness. References for studying the competitiveness of real estate developers in other countries are also provided.

Perceptions of data quality dimensions and data roles

Several authors stress the importance of data’s crucial foundation for operational, tactical and strategic decisions (e.g., Redman 1998, Tee et al. 2007). Data provides the basis for decision making as data collection and processing is typically associated with reducing uncertainty in order to make more effective decisions (Daft and Lengel 1986). While the first series of investments of Information Systems/Information Technology (IS/IT) into organizations improved data collection, restricted computational capacity and limited processing power created challenges (Simon 1960). Fifty years on, capacity and processing problems are increasingly less relevant; in fact, the opposite exists. Determining data relevance and usefulness is complicated by increased data capture and storage capacity, as well as continual improvements in information processing capability. As the IT landscape changes, businesses are inundated with ever-increasing volumes of data from both internal and external sources available on both an ad-hoc and real-time basis. More data, however, does not necessarily translate into more effective and efficient organizations, nor does it increase the likelihood of better or timelier decisions. This raises questions about what data managers require to assist their decision making processes.

A flexible asset maintenance decision-making process model

Optimal Asset Maintenance decisions are imperative for efficient asset management. Decision Support Systems are often used to help asset managers make maintenance decisions, but high quality decision support must be based on sound decision-making principles. For long-lived assets, a successful Asset Maintenance decision-making process must effectively handle multiple time scales. For example, high-level strategic plans are normally made for periods of years, while daily operational decisions may need to be made within a space of mere minutes. When making strategic decisions, one usually has the luxury of time to explore alternatives, whereas routine operational decisions must often be made with no time for contemplation. In this paper, we present an innovative, flexible decision-making process model which distinguishes meta-level decision making, i.e., deciding how to make decisions, from the information gathering and analysis steps required to make the decisions themselves. The new model can accommodate various decision types. Three industrial case studies are given to demonstrate its applicability.

Cost-aware business process management: A research agenda

Organisations are constantly seeking cost-effective improvements for their business processes. Business process management (BPM) provides organisations with a range of methods, techniques and tools for analysing, managing, and optimising their business operations. However, BPM initiatives within organisations tend to focus on investigating time and resource utilisation inefficiencies, rather than directly on cost inefficiencies. As a result, high-level cost-based managerial decisions are still being made separately from process related decisions. This position paper describes a research agenda that envisages a holistic approach to managing the cost of business operations in a structured manner, by making an explicit link between cost and processes in all phases of the business process management life cycle. We discuss a number of research challenges that need to be addressed in order to realise such an approach as well as findings from some of the initial research outcomes. It is envisioned that the research outcomes will enable organisations to make operational and strategic decisions with confidence based on accurate and real-time cost information about their operations.

An experimental investigation of moral commitments

This thesis explored the impact of non-contractual agreements in economic decisions. These statements of intent serve as a commitment device in strategic decisions and have been found to be an effective alternative to strong regulations in promoting social behaviour. Three studies have been undertaken using conceptual and methodological approaches from Behavioral and Experimental Economics. The first study explored in a public good setting the effect of public statements about intended social behaviour. The second study tested whether promises can help to promote co-operation in environments with uncertain choice options. The third study investigated a possible application of statement of intent and tested the effect of payment promises in a tax setting.

Integrated scheduling for ambulances and ambulance crews

This project developed three mathematical models for scheduling ambulances and ambulance crews and proceeded to solve each model for test scenarios based on real data. Results from these models can serve as decision aids for dispatching or relocating ambulances; and for strategic decisions on the ambulance crews needed each shift. This thesis used Flexible Flow Shop Scheduling techniques to formulate strategic, dynamic and real time models. Metaheuristic solutions techniques were applied for a case study with realistic data. These models are suitable for ambulance planners and dispatchers.

An open source service oriented Mobile Business Intelligence Tool (MBIT)

Corporate executives require relevant and intelligent business information in real-time to take strategic decisions. They require the freedom to access this information anywhere and anytime. There is a need to extend this functionality beyond the office and on the fingertips of the decision makers. Mobile Business Intelligence Tool (MBIT) aims to provide these features in a flexible and cost-efficient manner. This paper describes the detailed architecture of MBIT to overcome the limitations of existing mobile business intelligence tools. Further, a detailed implementation framework is presented to realize the design. This research highlights the benefits of using service oriented architecture to design flexible and platform independent mobile business applications. © 2009 IEEE.

Non-industrial private forest landowners’ choices of timber management strategies.

The factors affecting the non-industrial, private forest landowners' (hereafter referred to using the acronym NIPF) strategic decisions in management planning are studied. A genetic algorithm is used to induce a set of rules predicting potential cut of the landowners' choices of preferred timber management strategies. The rules are based on variables describing the characteristics of the landowners and their forest holdings. The predictive ability of a genetic algorithm is compared to linear regression analysis using identical data sets. The data are cross-validated seven times applying both genetic algorithm and regression analyses in order to examine the data-sensitivity and robustness of the generated models. The optimal rule set derived from genetic algorithm analyses included the following variables: mean initial volume, landowner's positive price expectations for the next eight years, landowner being classified as farmer, and preference for the recreational use of forest property. When tested with previously unseen test data, the optimal rule set resulted in a relative root mean square error of 0.40. In the regression analyses, the optimal regression equation consisted of the following variables: mean initial volume, proportion of forestry income, intention to cut extensively in future, and positive price expectations for the next two years. The R2 of the optimal regression equation was 0.34 and the relative root mean square error obtained from the test data was 0.38. In both models, mean initial volume and positive stumpage price expectations were entered as significant predictors of potential cut of preferred timber management strategy. When tested with the complete data set of 201 observations, both the optimal rule set and the optimal regression model achieved the same level of accuracy.

Medición del valor de marca desde un enfoque formativo

[ES] Las empresas necesitan medir el valor de sus marcas para poder tomar las mejores decisiones tácticas y estratégicas relativas a estos activos intangibles. Es por ello que este trabajo desarrolla un instrumento de medida del valor de marca utilizando un enfoque formativo. A diferencia de investigaciones anteriores, este estudio propone un modelo formativo de orden superior y valida empíricamente dicha conceptualización en dos países, España y el Reino Unido.

Políticas sobre la integración de las TIC en la escuela de la Comunidad Autónoma del País Vasco

[ES]En la Comunidad Autónoma Vasca se han tomado una serie de decisiones estratégicas materializadas en diversas políticas, planes institucionales e iniciativas con el objeto de integrar, usar e innovar con TIC en las escuelas. Desde iniciativas pretéritas centradas básicamente en la dotación de infraestructuras, pasando por el perfeccionamiento del profesorado, actualmente existe un modelo que intenta unir de facto la política de infraestructura y la formación del los docentes para una utilización eficiente de las TIC. La descripción y el análisis del impacto de las mismas en el entorno escolar es el objetivo de esta investigación. En este estudio se ha llevado a cabo una metodología de corte cualitativo basada en la recogida de ideas, opiniones y valoraciones de políticos, técnicos, directores de centros, así como de profesores mediante entrevistas en profundidad (N=25). Los diferentes agentes educativos entrevistados reconocen que a día de hoy el modelo propuesto que unifica lo tecnológico, lo psicopedagógico y lo organizativo adolece de falta de información eficaz y de financiación impidiendo claramente un impacto real en las escuelas.

Roadmapping in industrial companies: Experiences

From its origins in the US electronics sector in the 1970s, technology roadmapping has been adapted (and adopted) widely, for many different innovation, strategy and policy applications. Communication is commonly cited as one of the key benefi ts of roadmapping, particularly in terms of the process that brings different organizational perspectives together, with the roadmap providing a common visual 'language'. There is signifi cant demand for methods that are agile, in the sense of being rapid, flexible and effective to apply, focused on strategic decisions and actions. 'Fast-start' roadmapping workshop techniques enable key stakeholders to address strategic issues efficiently using the visual structure of roadmaps to capture, discuss, prioritize, explore and communicate. This paper presents the learning from a set of five diverse applications of the fast-start approach in the Basque Country, which demonstrate the agility of the technique.

供应链中物流及信息流管理

供应链管理使企业在变化的市场环境中有效地与其它企业合作 ,取得集体竞争优势。本文首先讨论了后勤学与供应链管理的定义和之间的关系。本文认为供应链管理的核心是物流与信息流的控制。物流控制决策主要包括操作层次的库存补充和运输路径规划 ,以及战略层次的设施地点规划。信息流管理跨越部门与企业的界限将相关的应用集成起来。动态联盟协调各企业内部的生产经营活动 ,战略性地决定物流与信息流的构形。

Leveraging lessons learned in organizations through implementing practice-based organizational learning and performance improvement - An opportunity for context-based intelligent assistant support (CIAS)

Organizations that leverage lessons learned from their experience in the practice of complex real-world activities are faced with five difficult problems. First, how to represent the learning situation in a recognizable way. Second, how to represent what was actually done in terms of repeatable actions. Third, how to assess performance taking account of the particular circumstances. Fourth, how to abstract lessons learned that are re-usable on future occasions. Fifth, how to determine whether to pursue practice maturity or strategic relevance of activities. Here, organizational learning and performance improvement are investigated in a field study using the Context-based Intelligent Assistant Support (CIAS) approach. A new conceptual framework for practice-based organizational learning and performance improvement is presented that supports researchers and practitioners address the problems evoked and contributes to a practice-based approach to activity management. The novelty of the research lies in the simultaneous study of the different levels involved in the activity. Route selection in light rail infrastructure projects involves practices at both the strategic and operational levels; it is part managerial/political and part engineering. Aspectual comparison of practices represented in Contextual Graphs constitutes a new approach to the selection of Key Performance Indicators (KPIs). This approach is free from causality assumptions and forms the basis of a new approach to practice-based organizational learning and performance improvement. The evolution of practices in contextual graphs is shown to be an objective and measurable expression of organizational learning. This diachronic representation is interpreted using a practice-based organizational learning novelty typology. This dissertation shows how lessons learned when effectively leveraged by an organization lead to practice maturity. The practice maturity level of an activity in combination with an assessment of an activity’s strategic relevance can be used by management to prioritize improvement effort.