Explaining process and performance in the co-production of knowledge:a comparative analysis of collaborative research projects

Despite considerable and growing interest in the subject of academic researchers and practising managers jointly generating knowledge (which we term ‘co-production’), our searches of management literature revealed few articles based on primary data or multiple cases. Given the increasing commitment to co-production by academics, managers and those funding research, it seems important to strengthen the evidence base about practice and performance in co-production. Literature on collaborative research was reviewed to develop a framework to structure the analysis of this data and relate findings to the limited body of prior research on collaborative research practice and performance. This paper presents empirical data from four completed, large scale co-production projects. Despite major differences between the cases, we find that the key success factors and the indicators of performances are remarkably similar. We demonstrate many, complex influences between factors, between outcomes, and between factors and outcomes, and discuss the features that are distinctive to co-production. Our empirical findings are broadly consonant with prior literature, but go further in trying to understand success factors’ consequences for performance. A second contribution of this paper is the development of a conceptually and methodologically rigorous process for investigating collaborative research, linking process and performance. The paper closes with discussion of the study’s limitations and opportunities for further research.

Reliability modelling and verification of manufacturing processes based on process knowledge management

Reliability modelling and verification is indispensable in modern manufacturing, especially for product development risk reduction. Based on the discussion of the deficiencies of traditional reliability modelling methods for process reliability, a novel modelling method is presented herein that draws upon a knowledge network of process scenarios based on the analytic network process (ANP). An integration framework of manufacturing process reliability and product quality is presented together with a product development and reliability verification process. According to the roles of key characteristics (KCs) in manufacturing processes, KCs are organised into four clusters, that is, product KCs, material KCs, operation KCs and equipment KCs, which represent the process knowledge network of manufacturing processes. A mathematical model and algorithm is developed for calculating the reliability requirements of KCs with respect to different manufacturing process scenarios. A case study on valve-sleeve component manufacturing is provided as an application example of the new reliability modelling and verification procedure. This methodology is applied in the valve-sleeve component manufacturing processes to manage and deploy production resources.

Validation of a multi-component digital dissolution model for irregular particles

A new mesoscale simulation model for solids dissolution based on an computationally efficient and versatile digital modelling approach (DigiDiss) is considered and validated against analytical solutions and published experimental data for simple geometries. As the digital model is specifically designed to handle irregular shapes and complex multi-component structures, use of the model is explored for single crystals (sugars) and clusters. Single crystals and the cluster were first scanned using X-ray microtomography to obtain a digital version of their structures. The digitised particles and clusters were used as a structural input to digital simulation. The same particles were then dissolved in water and the dissolution process was recorded by a video camera and analysed yielding: the overall dissolution times and images of particle size and shape during the dissolution. The results demonstrate the coherence of simulation method to reproduce experimental behaviour, based on known chemical and diffusion properties of constituent phase. The paper discusses how further sophistications to the modelling approach will need to include other important effects such as complex disintegration effects (particle ejection, uncertainties in chemical properties). The nature of the digital modelling approach is well suited to for future implementation with high speed computation using hybrid conventional (CPU) and graphical processor (GPU) systems.

Understanding and improving the manufacturing and changeover process in Saudi Arabian business - a multiple case study approach

The importance of the changeover process in the manufacturing industry is becoming widely recognised. Changeover is a complete process of changing between the manufacture of one product to manufacture of an alternative product until specified production and quality rates are reached. The initiatives to improve changeover exist in industry, as better changeover process typically contribute to improved quality performance. A high-quality and reliable changeover process can be achieved through implementation of continuous or radical improvements. This research examines the changeover process of Saudi Arabian manufacturing firms because Saudi Arabia’s government is focused on the expansion of GDP and increasing the number of export manufacturing firms. Furthermore, it is encouraging foreign manufacturing firms to invest within Saudi Arabia. These initiatives, therefore, require that Saudi manufacturing businesses develop the changeover practice in order to compete in the market and achieve the government’s objectives. Therefore, the aim of this research is to discover the current status of changeover process implementation in Saudi Arabian manufacturing businesses. To achieve this aim, the main objective of this research is to develop a conceptual model to understand and examine the effectiveness of the changeover process within Saudi Arabian manufacturing firms, facilitating identification of those activities that affect the reliability and high-quality of the process. In order to provide a comprehensive understanding of this area, this research first explores the concept of quality management and its relationship to firm performance and the performance of manufacturing changeover. An extensive body of literature was reviewed on the subject of lean manufacturing and changeover practice. A research conceptual model was identified based on this review, and focus was on providing high-quality and reliable manufacturing changeover processes during set-up in a dynamic environment. Exploratory research was conducted in sample Saudi manufacturing firms to understand the features of the changeover process within the manufacturing sector, and as a basis for modifying the proposed conceptual model. Qualitative research was employed in the study with semi-structured interviews, direct observations and documentation in order to understand the real situation such as actual daily practice and current status of changeover process in the field. The research instrument, the Changeover Effectiveness Assessment Tool (CEAT) was developed to evaluate changeover practices. A pilot study was conducted by examining the CEAT, proposed for the main research. Consequently, the conceptual model was modified and CEAT was improved in response to the pilot study findings. Case studies have been conducted within eight Saudi manufacturing businesses. These case studies assessed the implementation of manufacturing changeover practice in the lighting and medical products sectors. These two sectors were selected based on their operation strategy which was batch production as well as the fact that they fulfilled the research sampling strategy. The outcomes of the research improved the conceptual model, ultimately to facilitate the firms’ adoption and rapid implementation of a high-quality and reliability changeover during the set-up process. The main finding of this research is that Quality’s factors were considering the lowest levels comparing to the other factors which are People, Process and Infrastructure. This research contributes to enable Saudi businesses to implement the changeover process by adopting the conceptual model. In addition, the guidelines for facilitating implementation were provided in this thesis. Therefore, this research provides insight to enable the Saudi manufacturing industry to be more responsive to rapidly changing customer demands.

The Japanisation process in Malaysia

This thesis examines the empirical evidence for the transferability of Japanese soft technology (JST) or Japanese work organisation within two government-initiated, Malaysian-Japanese strategic alliances: PROTON and PERNEC. The government, through its Look East Policy (LEP) began in 1982, taking Japan (and South Korea) as models and partners in Malaysian economic and industrial development process, and expected these alliances to learn the good aspects of Japanese work organisations and management styles in order for them to become independent companies, both technologically and economically. The thesis found that the alliances have been successfully taking and utilising Japanese parts, components, tools, robots and machines; i.e. the 'ready-made hard technology'. [Whereas the important element of soft technology has been ignored]. The soft technology has been slowly and marginally transferred because neither local parties nor their Japanese counterparts within the alliances consider the acquisition or transfer of soft technology to be the main concern or a part of business plan. Although many factors influence management transfer, the thesis has focused on the eagerness and the capability of Malaysian managerial teams to acquire and, to a lesser extent, the readiness of the Japanese to transfer the technology. It was found that there is a lack of demand on technology acquisition by Malaysian managers and lack of responsibility to transfer the technology among Japanese experts. However, the political and social pressures on these alliances, the industrial climate and labour market, leaderships and management system of alliances, and Japanese MNCs regional and global corporate strategies have contributed to the high level of transfer of JST at PROTON compared to PERNEC. The research also found that Malaysian industrial and investment policies have favoured foreign investment but there is a lack of strategies for nurturing indigenous technological development.On the other hand the Japanese MNCs and public agencies have been operating in Malaysia and guided by their regional and global corporate strategies and less concerned with Malaysian technological development. In conclusion, empirically, the JST transfer is minimal. The transfer has been influenced by internal contingency factors of organisation; external industrial, political and cultural environmental factors; and last but not least the Japanese MNCs' global and regional corporate strategies. The transfer of Japanese management in this research is inclined towards core-periphery transfer model, it is also related to organisational and national technological capability.

Using a simulation model for knowledge elicitation and knowledge management

The work reported in this paper is part of a project simulating maintenance operations in an automotive engine production facility. The decisions made by the people in charge of these operations form a crucial element of this simulation. Eliciting this knowledge is problematic. One approach is to use the simulation model as part of the knowledge elicitation process. This paper reports on the experience so far with using a simulation model to support knowledge management in this way. Issues are discussed regarding the data available, the use of the model, and the elicitation process itself. © 2004 Elsevier B.V. All rights reserved.

Top teams and strategy in a UK university

This paper reports on the results of an in-depth study of how a top management team (TMT) puts strategy into practice in a UK university. A study of the top team in Warwick University was conducted to analyse how strategy was formulated and implemented. The results suggest that a combination of two broad theoretical lenses provide useful analytical insight. These are strategy as practice and strategy as process. The main elements of this university’s strategy result from an interplay of localized routines and patterns of action within an organizational context, which both produces and is a product of such actions. The TMT itself was found to be clearly identifiable and stable in composition. The team exhibited identifiable patterns of strategic thinking and acting. However, the role of organizational structure was also found to be a key influence on the actions and processes of the TMT with strong central control tendencies in the team being counterbalanced by devolved operational control to individual departments. The data also reveal inter-relationships between organizational structures and the TMT in four key areas: direction-setting, monitoring and control, the allocation of resources, and processes of interaction. The overall conclusion is that to understand how strategy is practised, analysis needs to focus on how patterns of action are associated with the characteristics of both the team and the wider organization. The nature and characteristics of these patterns can be related to how strategy is put into practice.

Causality and synchronisation in complex systems with applications to neuroscience

This thesis presents an investigation, of synchronisation and causality, motivated by problems in computational neuroscience. The thesis addresses both theoretical and practical signal processing issues regarding the estimation of interdependence from a set of multivariate data generated by a complex underlying dynamical system. This topic is driven by a series of problems in neuroscience, which represents the principal background motive behind the material in this work. The underlying system is the human brain and the generative process of the data is based on modern electromagnetic neuroimaging methods . In this thesis, the underlying functional of the brain mechanisms are derived from the recent mathematical formalism of dynamical systems in complex networks. This is justified principally on the grounds of the complex hierarchical and multiscale nature of the brain and it offers new methods of analysis to model its emergent phenomena. A fundamental approach to study the neural activity is to investigate the connectivity pattern developed by the brain’s complex network. Three types of connectivity are important to study: 1) anatomical connectivity refering to the physical links forming the topology of the brain network; 2) effective connectivity concerning with the way the neural elements communicate with each other using the brain’s anatomical structure, through phenomena of synchronisation and information transfer; 3) functional connectivity, presenting an epistemic concept which alludes to the interdependence between data measured from the brain network. The main contribution of this thesis is to present, apply and discuss novel algorithms of functional connectivities, which are designed to extract different specific aspects of interaction between the underlying generators of the data. Firstly, a univariate statistic is developed to allow for indirect assessment of synchronisation in the local network from a single time series. This approach is useful in inferring the coupling as in a local cortical area as observed by a single measurement electrode. Secondly, different existing methods of phase synchronisation are considered from the perspective of experimental data analysis and inference of coupling from observed data. These methods are designed to address the estimation of medium to long range connectivity and their differences are particularly relevant in the context of volume conduction, that is known to produce spurious detections of connectivity. Finally, an asymmetric temporal metric is introduced in order to detect the direction of the coupling between different regions of the brain. The method developed in this thesis is based on a machine learning extensions of the well known concept of Granger causality. The thesis discussion is developed alongside examples of synthetic and experimental real data. The synthetic data are simulations of complex dynamical systems with the intention to mimic the behaviour of simple cortical neural assemblies. They are helpful to test the techniques developed in this thesis. The real datasets are provided to illustrate the problem of brain connectivity in the case of important neurological disorders such as Epilepsy and Parkinson’s disease. The methods of functional connectivity in this thesis are applied to intracranial EEG recordings in order to extract features, which characterize underlying spatiotemporal dynamics before during and after an epileptic seizure and predict seizure location and onset prior to conventional electrographic signs. The methodology is also applied to a MEG dataset containing healthy, Parkinson’s and dementia subjects with the scope of distinguishing patterns of pathological from physiological connectivity.

Babies, bodies and entitlement: gendered aspects of access to citizenship in the Republic of Ireland

Since the mid-1990s, automatic citizenship for children born in the Republic has been a source of growing debate against a backdrop of increasing immigration and the peace process. In June 2004, the debate culminated in a referendum, opening the way to a constitutional amendment that attaches residence qualifications to the hitherto unfettered entitlement to citizenship available through ius soli. Arguments for the amendment were couched in terms of a threat posed by Third World women having babies in Ireland to obtain residence, and a putative obligation to the EU to harmonise citizenship laws. This article explores how pregnant foreign women’s bodies became a site of perplexity about the borders of the twenty-first century Irish nation. It is therefore suggested that neither the ‘racial state’ theories nor feminist theories of the nation-state account fully for this. On closer inspection, the seemingly sui generis case of the Irish referendum is therefore fruitful in that it demands further reflection in terms of bridging gaps in the existing theory.

The design, evaluation and costing of biomass gasifiers

The objective of this study has been to enable a greater understanding of the biomass gasification process through the development and use of process and economic models. A new theoretical equilibrium model of gasification is described using the operating condition called the adiabatic carbon boundary. This represents an ideal gasifier working at the point where the carbon in the feedstock is completely gasified. The model can be used as a `target' against which the results of real gasifiers can be compared, but it does not simulate the results of real gasifiers. A second model has been developed which uses a stagewise approach in order to model fluid bed gasification, and its results have indicated that pyrolysis and the reactions of pyrolysis products play an important part in fluid bed gasifiers. Both models have been used in sensitivity analyses: the biomass moisture content and gasifying agent composition were found to have the largest effects on performance, whilst pressure and heat loss had lesser effects. Correlations have been produced to estimate the total installed capital cost of gasification systems and have been used in an economic model of gasification. This has been used in a sensitivity analysis to determine the factors which most affect the profitability of gasification. The most important influences on gasifier profitability have been found to be feedstock cost, product selling price and throughput. Given the economic conditions of late 1985, refuse gasification for the production of producer gas was found to be viable at throughputs of about 2.5 tonnes/h dry basis and above, in the metropolitan counties of the United Kingdom. At this throughput and above, the largest element of product gas cost is the feedstock cost, the cost element which is most variable.

Combining data driven programming with component based software development:with applications in geovisualisation and dynamic data driven application systems

Software development methodologies are becoming increasingly abstract, progressing from low level assembly and implementation languages such as C and Ada, to component based approaches that can be used to assemble applications using technologies such as JavaBeans and the .NET framework. Meanwhile, model driven approaches emphasise the role of higher level models and notations, and embody a process of automatically deriving lower level representations and concrete software implementations. The relationship between data and software is also evolving. Modern data formats are becoming increasingly standardised, open and empowered in order to support a growing need to share data in both academia and industry. Many contemporary data formats, most notably those based on XML, are self-describing, able to specify valid data structure and content, and can also describe data manipulations and transformations. Furthermore, while applications of the past have made extensive use of data, the runtime behaviour of future applications may be driven by data, as demonstrated by the field of dynamic data driven application systems. The combination of empowered data formats and high level software development methodologies forms the basis of modern game development technologies, which drive software capabilities and runtime behaviour using empowered data formats describing game content. While low level libraries provide optimised runtime execution, content data is used to drive a wide variety of interactive and immersive experiences. This thesis describes the Fluid project, which combines component based software development and game development technologies in order to define novel component technologies for the description of data driven component based applications. The thesis makes explicit contributions to the fields of component based software development and visualisation of spatiotemporal scenes, and also describes potential implications for game development technologies. The thesis also proposes a number of developments in dynamic data driven application systems in order to further empower the role of data in this field.

Organisational slack resources, the definitions and consequences for business flexibility and performance : an empirical investigation

Slack resources are recognised to be those spare capabilities and assets of the organisation that are variable reclaimable for re-deployment. They represent under utilised and hidden spare energies within a company that may be recaptured and employed for a variety of tasks. However their positive contribution to organisational success has been a contentious claim that has provoked the intuitive argument that slack resources are inefficiency and are to be eradicated. The counter argument has been that very efficient organisations are inflexible and therefore incapable of being responsive to an increasingly dynamic environment. Therefore this work compares and contrasts three distinctive industries in a holistic manner and maps the impact of environmental flux on the firm, its subsequent disruptive ripples through the organisation and its absorption by slack resources. Through this process it is demonstrated that slack resources do positively contribute to organisational performance and subsequently the ability of slack to promote sustained competitive advantage is also identified. The major findings of this work are listed. 1. This work has developed and perfected a new research model that aids the investigation of the internal behaviours and consequences of Slack Resources. 2. Supported by argument a new variable of Soft Slack was developed. Its validity was demonstrated in its ability to capture the contribution of intangible assets, such as education, experience, spare management time and further training, to the extant levels of Organisational Hard Slack resources. 3. The validity of Soft Slack was further supported when its contribution to organisational Flexibility was also established. 4. The original argument that Slack Resources enhance organisational Performance has been further developed. It is now evidenced that Slack Resources facilitate Organisational Flexibility and by this process enhances Organisational Performance.

A Generic model for the design and analysis of production systems

This dissertation studies the process of operations systems design within the context of the manufacturing organization. Using the DRAMA (Design Routine for Adopting Modular Assembly) model as developed by a team from the IDOM Research Unit at Aston University as a starting point, the research employed empirically based fieldwork and a survey to investigate the process of production systems design and implementation within four UK manufacturing industries: electronics assembly, electrical engineering, mechanical engineering and carpet manufacturing. The intention was to validate the basic DRAMA model as a framework for research enquiry within the electronics industry, where the initial IDOM work was conducted, and then to test its generic applicability, further developing the model where appropriate, within the other industries selected. The thesis contains a review of production systems design theory and practice prior to presenting thirteen industrial case studies of production systems design from the four industry sectors. The results and analysis of the postal survey into production systems design are then presented. The strategic decisions of manufacturing and their relationship to production systems design, and the detailed process of production systems design and operation are then discussed. These analyses are used to develop the generic model of production systems design entitled DRAMA II (Decision Rules for Analysing Manufacturing Activities). The model contains three main constituent parts: the basic DRAMA model, the extended DRAMA II model showing the imperatives and relationships within the design process, and a benchmark generic approach for the design and analysis of each component in the design process. DRAMA II is primarily intended for use by researchers as an analytical framework of enquiry, but is also seen as having application for manufacturing practitioners.

Marketing strategy and new product development in the UK credit card industry

The development of new products in today's marketing environment is generally accepted as a requirement for the continual growth and prosperity of organisations. The literature is consequently rich with information on the development of various aspects of good products. In the case of service industries, it can be argued that new service product development is of as least equal importance as it is to organisations that produce tangible goods products. Unlike the new goods product literature, the literature on service marketing practices, and in particular, new service product development, is relatively sparse. The main purpose of this thesis is to examine a number of aspects of new service product development practice with respect to financial services and specifically, credit card financial services. The empirical investigation utilises both a case study and a survey approach, to examine aspects of new service product development industry practice relating specifically to gaps and deficiencies in the literature with respect to the financial service industry. The findings of the empirical work are subsequently examined in the context in which they provide guidance and support for a new normative new service product development model. The study examines the UK credit card financial service product sector as an industry case study and perspective. The findings of the field work reveal that the new service product development process is still evolving, and that in the case of credit card financial services can be seen as a well-structured and well-documented process. New product development can also be seen as an incremental, complex, interactive and continuous process which has been applied in a variety of ways. A number of inferences are subsequently presented.

Technology policy and technological innovation in the People's Republic of China

The objective of this research is to unveil the dynamics of technological innovation in planned economies in transition. It is proposed in the thesis that all innovation systems in the world, in fact, consist of certain configurations of market and hierarchy. These systems have always been shifting from one existing market-hierarchy mix to a new one, which is expected to be more conducive to technological innovation and economic development. Current reforms in many planned economies in transition reflect this theoretical proposition. A research framework is constructed to include three main dimensions for the study of a specific innovation system, i.e. Arrangements, Achievements and Actors. China, which has undergone reforms since 1978, is chosen as the empirical basis of the research. The research examined technology policy and technological innovation in China between 1978 to 1988. The thesis starts from Arrangements - R&D System in China and Its Reform. The thesis illustrates reforms in the R&D system in relation to government technology policy. There exist coherent government efforts to promote innovations through various plans, and the planning process incorporates both market and command elements. The institutional structure of Chinese R&D system remains still vertically departmentalised, but horizontal links are created through the market. Secondly, Achievements - Performance of Chinese R&D System is assessed through patterns of technological innovation. Data from National Awards for S&T Progress (1978-1988) are included in a substantial database, which is used to generate patterns of technological innovation and patterns of innovating organisations. These patterns were presented and interpreted in relation to geographical differences, sectoral differences, typological differences, forms of co-operation and the impacts of S&T policy and reform. The third dimension is study on Actors - Innovation in Applied R&D institutes. Through semi-structured interviews and questionnaire survey, internal structure and research management are analysed in the light of ongoing reforms. The reform of R&D funding system greatly affected the way applied R&D institutes operate. Both organisational and individual incentives for innovating are increasingly associated with economic or material benefits. The research suggests there is a need to put reforms in the R&D system into a wider societal and political context. Some general attributes of applied R&D institutes are also discussed in the thesis.