The role of government research establishments : a study of the concept of public patronage for applied research and development

This thesis follows the argument that, to fully understand the current position of national research laboratories in Great Britain one needs to study the historical development of the government research establishment as a specific social institution. A particular model is outlined in which it is argued that institutional characteristics evolve through the continual interplay between internal development and environmental factors within a changing political and economic context, and that the continuous development of an institution depends on its ability to adapt to changes in its operational environment. Within this framework important historical precedents for formal government institutional support for applied research are identified. and the transition from private to public patronage documented. The emergence and consolidation of government research laboratories in Britain is described in detail. The subsequent relative decline of public laboratories is interpreted in terms of the undermining of a traditional role resulting in legitimation crisis. It is concluded that it is no longer feasible to consider the public research laboratory as a coherent institutional form, and that the future of each individual laboratory can only be considered in relation to the institutional needs of its own sphere of operation. Nevertheless the laboratories have been forced into decline in an essentially unplanned way which may have serious consequences for the maintenance of the scientific and technical infrastructures, necessary for material progress in the national context.

Meta level component-based framework for distributed computing applications

Adaptability for distributed object-oriented enterprise frameworks is a critical mission for system evolution. Today, building adaptive services is a complex task due to lack of adequate framework support in the distributed computing environment. In this thesis, we propose a Meta Level Component-Based Framework (MELC) which uses distributed computing design patterns as components to develop an adaptable pattern-oriented framework for distributed computing applications. We describe our novel approach of combining a meta architecture with a pattern-oriented framework, resulting in an adaptable framework which provides a mechanism to facilitate system evolution. The critical nature of distributed technologies requires frameworks to be adaptable. Our framework employs a meta architecture. It supports dynamic adaptation of feasible design decisions in the framework design space by specifying and coordinating meta-objects that represent various aspects within the distributed environment. The meta architecture in MELC framework can provide the adaptability for system evolution. This approach resolves the problem of dynamic adaptation in the framework, which is encountered in most distributed applications. The concept of using a meta architecture to produce an adaptable pattern-oriented framework for distributed computing applications is new and has not previously been explored in research. As the framework is adaptable, the proposed architecture of the pattern-oriented framework has the abilities to dynamically adapt new design patterns to address technical system issues in the domain of distributed computing and they can be woven together to shape the framework in future. We show how MELC can be used effectively to enable dynamic component integration and to separate system functionality from business functionality. We demonstrate how MELC provides an adaptable and dynamic run time environment using our system configuration and management utility. We also highlight how MELC will impose significant adaptability in system evolution through a prototype E-Bookshop application to assemble its business functions with distributed computing components at the meta level in MELC architecture. Our performance tests show that MELC does not entail prohibitive performance tradeoffs. The work to develop the MELC framework for distributed computing applications has emerged as a promising way to meet current and future challenges in the distributed environment.

International selling and sales management:sales force research beyond geographic boundaries

An introduction is presented for this issue which includes the articles "Internationalizing Sales Research: Current Status, Opportunities and Challenges" by Nikolaos G. Panagopoulos and colleagues, "Cultural Intelligence in Cross-Cultural Selling: Propositions and Directions for Future Research" by John D. Hansen and colleagues, and "A New Conceptual Framework of Sales Force Control Systems" by Ren Y. Darmon and Xavier C. Martin

Managing uncertainty in integrated environmental modelling:the UncertWeb framework

Web-based distributed modelling architectures are gaining increasing recognition as potentially useful tools to build holistic environmental models, combining individual components in complex workflows. However, existing web-based modelling frameworks currently offer no support for managing uncertainty. On the other hand, the rich array of modelling frameworks and simulation tools which support uncertainty propagation in complex and chained models typically lack the benefits of web based solutions such as ready publication, discoverability and easy access. In this article we describe the developments within the UncertWeb project which are designed to provide uncertainty support in the context of the proposed ‘Model Web’. We give an overview of uncertainty in modelling, review uncertainty management in existing modelling frameworks and consider the semantic and interoperability issues raised by integrated modelling. We describe the scope and architecture required to support uncertainty management as developed in UncertWeb. This includes tools which support elicitation, aggregation/disaggregation, visualisation and uncertainty/sensitivity analysis. We conclude by highlighting areas that require further research and development in UncertWeb, such as model calibration and inference within complex environmental models.

Decision support system for spare parts warehousing

Spare parts warehousing decision-making plays an important role in today's manufacturing industry as it derives an optimum inventory policy for the organizations. Previous research on spare parts warehousing decision-making did not deal with the problem holistically considering all the subjective and objective criteria of operational and strategic needs of the manufacturing companies in the process industry. This study reviews current relevant literature and develops a conceptual framework (an integrated group decision support system) for selecting the most effective warehousing option for the process industry using the analytic hierarchy process (AHP). The framework has been applied to a multinational cement manufacturing company in the UK. Three site visits, eight formal interviews, and several discussions have been undertaken with personnel of the organization, many of which have more than 20 years of experience, in order to apply the proposed decision support system (DSS). Subsequently, the DSS has been validated through a questionnaire survey in order to establish its usefulness, effectiveness for warehousing decision-making, and the possibility of adoption. The proposed DSS is an integrated framework for selecting the best warehousing option for business excellence in any manufacturing organization.

A review of research in manufacturing prognostics

With the fast changing global business landscape, manufacturing companies are facing increasing challenge to reduce cost of production, increase equipment utilization and provide innovative products in order to compete with countries with low labour cost and production cost. On of the methods is zero down time. Unfortunately, the current research and industrial solution does not provide user friendly development environment to create “Adaptive microprocessor size with supercomputer performance” solution to reduce downtime. Most of the solutions are PC based computer with off the shelf research software tools which is inadequate for the space constraint manufacturing environment in developed countries. On the other hand, to develop solution for various manufacturing domain will take too much time, there is lacking tools available for rapid or adaptive way of create the solution. Therefore, this research is to understand the needs, trends, gaps of manufacturing prognostics and defines the research potential related to rapid embedded system framework for prognostic.

National system of innovation and technological learning:an integrated framework for understanding technological capability development in the Russian forestry sector

One of the issues in the innovation system literature is examination of technological learning strategies of laggard nations. Two distinct bodies of literature have contributed to our insight into forces driving learning and innovation, National Systems of Innovation (NSI) and technological learning literature. Although both literatures yield insights on catch-up strategies of 'latecomer' nations, the explanatory powers of each literature by itself is limited. In this paper, a possible way of linking the macro- and the micro-level approaches by incorporating enterprises as active learning entities into the learning and innovation system is proposed. The proposed model has been used to develop research hypotheses and indicate research directions and is relevant for investigating the learning strategies of firms in less technologically intensive industries outside East Asia.

Advanced manufacturing technology and work design:towards a theoretical framework

This paper introduces a theoretical framework to guide research into the psychological effects of advanced manufacturing technology (AMT) on shopfloor operators. The framework has two main aspects. First, based on the emerging literature on the job content implications of AMT, it identifies four key constructs, namely: control, cognitive demand, production responsibility and social interaction. Second, by drawing on the more established job design, stress and related literatures, it predicts how these independent variables differentially affect system performance, job-related strain and job satisfaction. The wider implications and limitations of the theoretical framework are discussed.

Future research on human resource management systems in Asia

Re-emphasizing the need to examine human resource management (HRM) in context, this article builds around four themes. First, it analyses the main issues discussed in the existing literature regarding HRM in the Asian context. Second, it highlights the critical challenges facing HRM function in the region. Third, along with the analysis, it presents an agenda for future research. Fourth, it presents a framework useful for highlighting the context specific nature of Asian HRM functions and the main determinants of HRM policies and practices from a cross-national comparative perspective.

Risk management in enterprise resource planning implementation:a new risk assessment framework

Enterprise resource planning (ERP) projects are risky. But if they are implemented appropriately, they can provide competitive advantage to organisations. Therefore, ERP implementation has become one of the most critical aspects of today's information management research. The main purpose of this article is to describe a new ERP risk assessment framework (RAF) that can be used to increase the success of ERP implementation. In this article, through a case study based in a leading UK-based energy service provider, we demonstrate the new RAF, which has been shown to help identify and mitigate risks in ERP implementation. In contrast to other research, this RAF identifies risks hierarchically in external engagement, programme management, work stream and work package levels across technical, schedule, operational, business and organisational categories. This not only helped to develop responses to mitigate risks but also facilitates on-going risk control.

Editorial

This special issue covers the significant activities and outputs of the European Commission funded Bioenergy Network of Excellence that has recently completed its six year programme of work. Networks of Excellence (NoE) were intended to address fragmentation of R&D in the European Research Area by integrating resources and expertise needed to enhance Europe’s global competitiveness in key areas. The Bioenergy NoE consortium consists of eight key bioenergy R&D institutes in Europe and covered the entire field of bioenergy. Within the project, the overall strategy to achieve integration followed a well defined process of firstly identifying barriers, then evaluating RTD goals for their removal, followed by a detailed examination of how integration could be realistically achieved and implemented in the longer term. This is described in the first paper by Sipilä and Wilén. The rest of the contents of this special issue are devoted to collaborative outputs of the various joint research activities undertaken during the project that cover biomass, conversion technology, and finally policy and education. Progress was influenced by a number of additional EU instruments launched during the project including the European Industrial Technology Platforms and ERA-NET Bioenergy. These led to the EIBI (European Industrial Bioenergy Initiative) and particularly EERA Bioenergy (European Energy Research Alliance – Bioenergy), which is very effectively continuing the work of Bioenergy NoE by establishing a framework for continued cooperation and collaboration. The project resulted in a high level of interaction and collaboration in European R&D which is being further developed and expanded within EERA Bioenergy. The value of Bioenergy NoE can thus be clearly seen in the exciting programme of research activities being developed in EERA Bioenergy. During the past six years Bioenergy NoE partners have produced over 1000 publications including reports, papers and poster communications. This special issue of Biomass and Bioenergy includes results from a selection of outputs from Bioenergy NoE.

Quality management (QM) implementation in the Kuwaiti Oil Industry:An empirical study and a proposed generic framework

In an Arab oil producing country in the Middle East such as Kuwait, Oil industry is considered as the main and most important industry of the country. This industry’s importance emerged from the significant role it plays in both country’s national economy and also global economy. Moreover, Oil industry’s criticality comes from its interconnectivity with national security and power in the Middle East region. Hence, conducting this research in this crucial industry had certainly added values to companies in this industry as it investigated thoroughly the main components of the TQM implementation process and identified which components affects significantly TQM’s implementation and its gained business results. In addition, as the Oil sector is a large sector that is known for its richness of employees with different national cultures and backgrounds. Thus, this culture-heterogeneous industry seems to be the most appropriate environment to address and satisfy a need in the literature to investigate the national culture values’ effects on TQM implementation process. Furthermore, this research has developed a new conceptual model of TQM implementation process in the Kuwaiti Oil industry that applies in general to operations and productions organizations at the Kuwaiti business environment and in specific to organizations in the Oil industry, as well it serves as a good theoretical model for improving operations and production level of the oil industry in other developing and developed countries. Thus, such research findings minimized the literature’s gap found the limited amount of empirical research of TQM implementation in well-developed industries existing in an Arab, developing countries and specifically in Kuwait, where there was no coherent national model for a universal TQM implementation in the Kuwaiti Oil industry in specific and Kuwaiti business environment in general. Finally, this newly developed research framework, which emerged from the literature search, was validated by rigorous quantitative analysis tools including SPSS and Structural Equation Modeling. The quantitative findings of questionnaires collected were supported by the qualitative findings of interviews conducted.

COOPER-framework:a unified process for non-parametric projects

Practitioners assess performance of entities in increasingly large and complicated datasets. If non-parametric models, such as Data Envelopment Analysis, were ever considered as simple push-button technologies, this is impossible when many variables are available or when data have to be compiled from several sources. This paper introduces by the 'COOPER-framework' a comprehensive model for carrying out non-parametric projects. The framework consists of six interrelated phases: Concepts and objectives, On structuring data, Operational models, Performance comparison model, Evaluation, and Result and deployment. Each of the phases describes some necessary steps a researcher should examine for a well defined and repeatable analysis. The COOPER-framework provides for the novice analyst guidance, structure and advice for a sound non-parametric analysis. The more experienced analyst benefits from a check list such that important issues are not forgotten. In addition, by the use of a standardized framework non-parametric assessments will be more reliable, more repeatable, more manageable, faster and less costly. © 2010 Elsevier B.V. All rights reserved.

A new dynamic framework for managing ERP development and enterprise strategy

The enterprise management (EM) approach provides a holistic view of organizations and their related information systems. In order to align information technology (IT) innovation with global markets and volatile virtualization, traditional firms are seeking to reconstruct their enterprise structures alongside repositioning strategy and establish new information system (IS) architectures to transform from single autonomous entities into more open enterprises supported by new Enterprise Resource Planning (ERP) systems. This chapter shows how ERP engage-abilities cater to three distinctive EM patterns and resultant strategies. The purpose is to examine the presumptions and importance of combing ERP and inter-firm relations relying on the virtual value chain concept. From a review of the literature on ERP development and enterprise strategy, exploratory inductive research studies in Zoomlion and Lanye have been conducted. In addition, the authors propose a dynamic conceptual framework to demonstrate the adoption and governance of ERP in the three enterprise management forms and points to a new architectural type (ERPIII) for operating in the virtual enterprise paradigm. © 2012, IGI Global.

A framework for enabling dynamic e-business strategies via new enterprise paradigms and ERP solutions

Hardcover: 498 pages Publisher: Idea Group,U.S. (15 July 2012) Language: English ISBN-10: 1466616199