The shortage of skilled and qualified personnel in the shipping industry has gained considerable attention in recent years. Various approaches have been used to address this issue with limited success. Conventional human resource management has its limitation in managing this highly mobile international workforce. This book looks into the issue from a new perspective where high mobility of personnel in the shipping industry is seen as a vehicle of knowledge flows that can be used for knowledge transfer. It argues that while an organisation cannot stop personnel from leaving, it is possible, by utilising effective knowledge management practices, to retain part of the knowledge held by such personnel. The book endeavours to apply knowledge management principles into the shipping industry to better manage its knowledge assets thus mitigating the skill shortage that has been faced by the industry. This new approach should help shed some light on providing solutions to the persistent skill shortage problem in the shipping industry, and should be useful to both practitioners and academics in the fields of human resource management and knowledge management.
Nowadays companies have taken the task of develop better management information systems in order to help the decision makers to exploit data and models, with the final objective of discussing and improving decision-making. Decision support systems must be improved in order to deal with the large amount of available data and the heterogeneity of existing modeling approaches along the enterprise structure. This book proposes the application of ontologies as a decision support tool, since they are increasingly seen as a key semantic technology for addressing heterogeneities and for enabling data mining by semantics-driven knowledge processing. As a decision support tool, it must be capable of standing as a robust model which interacts among the different decision hierarchical levels, providing a unified framework for data and information. The work presented represents a step forward toward integration among the enterprise hierarchical levels, standardization in processes and enterprises, as well as improved procedures for decision-making. The aforementioned achievements are boosted by the application of semantic models, which are currently increasingly used.
Which is the most efficient way to hedge bunker fuel risk in the liner shipping industry since the abolition of the BAF conferences? This work aims to provide a complete description of the possibilities available to shipowners to hedge fuel price risk, both available on markets and OTC. Furthermore an analysis of the efficiency of such strategies is carried on, to propose an ideal best way to perform the hedging strategy.
Since knowledge management is almost new to the hospitality industry, this book aims at being an introductory tool of knowledge management to hospitality managers. There is a seamless flow between parts from the introduction to knowledge management to the final practical application of the proposed business model. It brushes on knowledge management concepts that are frequently cited, including concepts that were useful in formulating a model for knowledge management strategy for hospitality. The Process-Oriented Strategic Knowledge Management Business Model is an initiative to push forward strategic knowledge management in the hospitality industry. It was built on the belief that a knowledge management strategy that is linked to the strategic business goals of a hotel will be very effective in improving performance on all levels of organization. With respect to the knowledge management business model, this book builds on previous research and seeks to cover questions that were left unanswered. Issues such as measuring knowledge management value to track the implementation of the model and the factors that support or impede its implementation have been discussed in detail.
'Knowledge Management' (KM) is yet a virgin field of managerial science, especially, when researched from a human resource perspective. Most studies of KM have focused on the use of IT, neglecting the importance of people for its successful implementation. This study is unique as it proposes a conceptual KM model that is multidisciplinary. It represents the first attempt to build a KM construct especially for the service industry and seeks to provide an alternative competitive strategy for transcending economic crises such as the one we are experiencing. Moreover, the survey findings of the model’s application across a range of service companies provides useful insights on KM implications and raises valuable research questions for a future research agenda in management.
This study investigates the knowledge management (KM) readiness of the Sri Lankan telecommunication industry and the factors that contribute to KM Readiness. Data were collected from 313 executives of seven companies in the Sri Lankan Telecommunication Industry using self-administered questionnaires. This study considered KM enablers, such as organizational culture, structure, and IT infrastructure, and individual acceptance factors, such as performance expectancy and effort expectancy of KM, as the contributing factors to the KM readiness. The study found that the executives in the Sri Lankan telecommunication industry are ready to be involved in KM process. In addition, there were five significant predictors of KM readiness; three KM enablers and two individual acceptance factors. Furthermore, the study found that gender and age of the executives moderate the relationship between some of the contributing factors and the KM readiness. The study integrates both KM and information systems perspectives to develop a theoretical model that explores the concept of KM readiness. Practitioners may use the instruments used in this study to measure the KM readiness of their organizations.
Knowledge: In the realm of knowledge management, information plus wisdom equals knowledge. Organizations have found that the knowledge they contain can be one of their most important competitive weaponsDefinition:Knowledge management: The ability of an organization to manage, store, value, and distribute knowledge. Some organizations have created the position of Chief Knowledge Manager (CKM) to handle knowledge management responsibilitiesMany organizations fail to effectively manage and use the most important competitive edge they possess - their knowledge and "intellectual capital." This book covers the entire growing field of knowledge management, with particular emphasis on knowledge-based systems and their use in preserving knowledge in an organization, and integrating it across departments and disciplines.This hands-on guide shows how businesses and other organizations can re-engineer their processes using an applied knowledge-based approach. Each chapter introduces a different aspect of the field and demonstrates its application in actual case studies. Examples from industry, education, and government show the wide application of this exciting new field of study. The book also covers promising trends such as learning organizations, intelligent organizations, and enterprise management.
Industrializing Knowledge – University–Industry Linkages in Japan & the United States
Revision with unchanged content. Managing a changing risk environment presents many challenges to industrial corporation today. Effective risk identification, assessment, analysis, handling and monitoring is critical in order to insure corporations’ productivity and existence. Traditional risk management instruments seem to be insufficient to fulfill the growing needs of industrial corporations. The author Florian Sallmann presents an enhanced risk management process by integrating the concepts of knowledge management into traditional risk management. In addition, he provides a practical application of this new knowledge-based risk management process using the 250 leading Austrian industrial corporations. This book is written for CEOs, CFOs, Insurance and Risk Managers in industrial corporations, their associations, industry insurers and reinsurers as well as economists.
For knowledge-intensive life insurance industry, KM can be a tool of competitive advantage in country like India, where there is a huge market potential. This book aims to understand the KM practices followed in various private life insurance companies compared to the government owned and oldest life insurer in the country – Life Insurance Corporation (LIC). The work is based on a sample comprising of 03 private life insurance companies and 01 public sector LIC. The KM practices are evaluated using MIT90s framework and Hansen, Nohria, and Tierney’s Knowledge Strategy Model of Codification versus Personalization. The work empirically shows that private life insurance companies’ perform well on all dimensions of KM compared to LIC; however, no insurance company follows codification and personalization knowledge strategy as envisaged by Hansen, Nohria, and Tierney’s model. There is huge scope of KM implementation in insurance industry in India.
A Knowledge Management System is an integrated multifunctional software framework that supports all main knowledge management and knowledge processing activities, such as capturing, organising, classifying, understanding, debugging, editing, finding, retrieving, disseminating, transferring and sharing knowledge. This book provides an ontology based knowledge management solution for Software Risk Management (SRM). In this book, the knowledge of Software Risk Management is visualized through SRM Ontology (SRMONTO). Emphasizing the profound importance of risk management in the IT industry, an e-learning tool to educate potential software engineers is described in this book. An ontology based web service described in this book is used to analyze a project, product or service based on the factors, relationships and constraints that constitute the respective project, product or service. Its main goal is to provide project analysts with a web service, to aid them in identifying and assessing the risks involved in the project, allowing them to plan for avoiding risks, and controlling and monitoring risk. The targeted audience for this book is students and software engineers.
This research study sought to evaluate the impact of fleet management as a competitive tool in the Zimbabwean Road Haulage Industry for the reference of further improvement of Transport Companies in Zimbabwe. Zimbabwe’s Haulage Sector has high level of inefficiency and ineffectiveness in its fleet management. This inefficiency is mainly caused by poor vehicle maintenance, poor briefing and debriefing of drivers, routing and scheduling, fuel management and unavailability of vehicle financing reserves.Due to the shrinking competitiveness of Zimbabwe’s Haulage Industry in the SADC region, this research aims; To identify the variables of fleet management in the road haulage industry To determine the impact of fleet management as a competitive tool in the haulage industry To identify the road haulage drawbacks. To establish ways of improving the effectiveness of fleet management in the Zimbabwean Haulage Industry. Descriptive survey was used in this study with the aim of discovering people’s knowledge, preferences, opinions and views of fleet management in the Haulage Industry of Zimbabwe.
Introduction to Management in the Hospitality Industry, Eighth Edition and NRAEF Student Workbook Package
Raising oil prices, intense rivalry completion, safety concerns and downward pressure on prices are some of the serious challenges facing the civil aviation industry. However, in the past decade the industry experienced a new kind of challenge; the escalading shortage of sophisticated technical capabilities especially in the aircraft engineering fields. This was fuelled by the high job rotation, job reduction and the raising rate of retirement of the aging engineering workforce. This exposed the raising knowledge gap between the aircraft engineering experts and new hires. The need for an effective knowledge management (KM) system was evident. Hence, the main objective of this book is to develop and validate a framework for better management of knowledge in the aircraft engineering field. Many previous KM initiatives have failed and that seems to relate to focusing on information technology (IT) based solutions rather than dealing with organizations’ operational issues that have diverse effect on KM implementation. The main outcome of this book is an Operations-Based Knowledge Management (OBKM) framework with a proposed model and implementation guidelines for an effective KM system.
This study explored the relationship of Knowledge management and the factors of the high performance organisation framework.We found out that Knowlege management in general has existed in Financial Instituions; it is not entirely a new concept when applied to the financial service industry. We found out that the HPO framework is an important factor to motivate FIs to pursue HPO status and sustainability. We therefore argue, contrary to several other sources, which list the initialising conditions for HPO that competitive advantage of the FI should be one of the recognised and published critical factors and/or benefits for high performance organisations in developing countries. The high performance organisation framework is relevant to Uganda.