The Experts below are selected from a list of 4359 Experts worldwide ranked by ideXlab platform
Jonathan Garnett - One of the best experts on this subject based on the ideXlab platform.
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Developing the Structural Capital of higher education institutions to support work based learning
2008Co-Authors: Jonathan Garnett, Barbara Workman, Alan Beadsmoore, Stevie BezencenetAbstract:This chapter considers issues related to the provision of work-based learning [WBL] programmes by higher education institutions and discusses these programmes using the concept of Structural Capital. ‘Structural Capital’ is defined as the organising and structuring capability of the organisation as expressed in formal instruments, policies, regulations, procedures, codes, functional business units, task groups, committees or less formal culture, networks and practices (Stewart, 1997) that influence practices and procedures. Our experiences of operating work-based learning programmes in two very different higher education institutions provide illustrations of Structural factors that enable and facilitate work-based learning. The discussion outlines the forms of work-based learning that both universities employ, and considers some key aspects of WBL delivery that are directly impacted upon by the structures and processes within institutions, and contribute to intra-institutional Structural Capital. A summary of practical examples is given as an appendix to the chapter.
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developing the Structural Capital of higher education institutions to support work based learning programmes
2008Co-Authors: Jonathan Garnett, Barbara Workman, Alan Beadsmoore, Stevie BezencenetAbstract:Structural Capital is concerned with the organising and structuring capability of an organisation and is expressed in formal policies, regulations, procedures, codes, functional business units, task groups, committees or less formal cultures, networks and practices which influence practices and procedures (Stewart 1997). This chapter identifies key aspects of the university’s Structural Capital which enable WBL programmes to function within the university and work with organisations to achieve successful partnerships in WBL. Structural Capital enables HEI’s to meet the needs of the customer as in both learner and external organisation as well as enabling internal processes to respond to external demands (Edvinson & Malone 1997) and is explored within four illustrative case studies from two Universities. It discusses the structures required to support learning partnerships, such as development of staff and flexible curricula. It considers some of the formal practices and procedures required to enable effective WBL programmes, such as academic accreditation of external learning and training. It recognises the need for sound infrastructures to support learning processes, such as administrative systems, which are able to acknowledge the non-traditional nature of WBL learners and respond to the particular needs of the learners and their organisations. Structural Capital (SC) is concerned with an organisation‟s structuring capability to meet the needs of the external customer, i.e. the learner/worker and external organisations SC is expressed in policies, regulations, procedures, task groups, committees, networks and practices and is reflected in the formal and informal infrastructure of knowledge held within an organisation SC‟s value is its contribution to an organisation‟s purpose through the formulation and dissemination of organisational aims and/or decision-making processes Identification of sources of SC assists the implementation of appropriate activities to support and facilitate WBL programmes and can indicate where staff or system development is required These activities include partnership working, staff development, resource allocation, curriculum design, facilitation and management of academic accreditation and administrative support systems
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Work based learning partnerships and Structural Capital : the case of Middlesex University
2002Co-Authors: Jonathan GarnettAbstract:The aim of the project is to enhance the value of work based learning to Middlesex University through the development of a critical understanding of the relationship between the Middlesex approach to work based learning and the concept of Structural Capital. The project considers the Middlesex approach to work based learning and identifies the salient features of the approach. Key to the distinctive nature of the Middlesex approach is the recognition by the University of Work Based Learning as a field of study. The central theme of the project is how the existing demonstrable value of work based learning could be further enhanced by understanding the Middlesex approach in relation to intellectual Capital and knowledge management concepts. Intellectual Capital is considered as being divided into human, Structural and customer Capital. The traditional area of expertise of the University has been the development of human Capital. Consideration of knowledge management literature identified a range of factors generally seen as facilitating the enhancement of intellectual Capital. These factors and the types of intellectual Capital were used to examine three case studies of Middlesex work based learning partnerships with: • a leading international construction management company • a UK local authority • an overseas higher education institution. The case studies highlighted the importance of the Structural Capital of the University in the customised development, business focused operation and responsive evolution of the partnerships. The potential of the work based learning partnership to contribute to the Structural Capital of the partner and the University is highlighted by the case studies. The report identifies the nature and the significance of the Middlesex University approach to work based leaning as a Structural Capital asset and concludes with 17 recommendations covering curriculum development, consultancy, research, partnership design and operation and staff development which will inform the future development of Work Based Learning at Middlesex and lead to a range of publications.
Stevie Bezencenet - One of the best experts on this subject based on the ideXlab platform.
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Developing the Structural Capital of higher education institutions to support work based learning
2008Co-Authors: Jonathan Garnett, Barbara Workman, Alan Beadsmoore, Stevie BezencenetAbstract:This chapter considers issues related to the provision of work-based learning [WBL] programmes by higher education institutions and discusses these programmes using the concept of Structural Capital. ‘Structural Capital’ is defined as the organising and structuring capability of the organisation as expressed in formal instruments, policies, regulations, procedures, codes, functional business units, task groups, committees or less formal culture, networks and practices (Stewart, 1997) that influence practices and procedures. Our experiences of operating work-based learning programmes in two very different higher education institutions provide illustrations of Structural factors that enable and facilitate work-based learning. The discussion outlines the forms of work-based learning that both universities employ, and considers some key aspects of WBL delivery that are directly impacted upon by the structures and processes within institutions, and contribute to intra-institutional Structural Capital. A summary of practical examples is given as an appendix to the chapter.
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developing the Structural Capital of higher education institutions to support work based learning programmes
2008Co-Authors: Jonathan Garnett, Barbara Workman, Alan Beadsmoore, Stevie BezencenetAbstract:Structural Capital is concerned with the organising and structuring capability of an organisation and is expressed in formal policies, regulations, procedures, codes, functional business units, task groups, committees or less formal cultures, networks and practices which influence practices and procedures (Stewart 1997). This chapter identifies key aspects of the university’s Structural Capital which enable WBL programmes to function within the university and work with organisations to achieve successful partnerships in WBL. Structural Capital enables HEI’s to meet the needs of the customer as in both learner and external organisation as well as enabling internal processes to respond to external demands (Edvinson & Malone 1997) and is explored within four illustrative case studies from two Universities. It discusses the structures required to support learning partnerships, such as development of staff and flexible curricula. It considers some of the formal practices and procedures required to enable effective WBL programmes, such as academic accreditation of external learning and training. It recognises the need for sound infrastructures to support learning processes, such as administrative systems, which are able to acknowledge the non-traditional nature of WBL learners and respond to the particular needs of the learners and their organisations. Structural Capital (SC) is concerned with an organisation‟s structuring capability to meet the needs of the external customer, i.e. the learner/worker and external organisations SC is expressed in policies, regulations, procedures, task groups, committees, networks and practices and is reflected in the formal and informal infrastructure of knowledge held within an organisation SC‟s value is its contribution to an organisation‟s purpose through the formulation and dissemination of organisational aims and/or decision-making processes Identification of sources of SC assists the implementation of appropriate activities to support and facilitate WBL programmes and can indicate where staff or system development is required These activities include partnership working, staff development, resource allocation, curriculum design, facilitation and management of academic accreditation and administrative support systems
Avadhesh Dalpati - One of the best experts on this subject based on the ideXlab platform.
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Integrating Theories of Strategic Leadership, Social Exchange, and Structural Capital in the Context of Buyer–Supplier Relationship: An Empirical Study
Global Journal of Flexible Systems Management, 2019Co-Authors: M. Birasnav, Rakesh Mittal, Avadhesh DalpatiAbstract:This study is aimed at improving the purchasing cycle time in a buyer–supplier relationship by integrating the facets of strategic leadership, social exchange, and social Capital theories. We developed and tested a conceptual model that postulated relationships among strategic leadership behavior, relational trust and commitment, Structural Capital, and purchasing cycle time. Data were collected from purchase managers and their employees working in 105 manufacturing companies and analyzed using Structural equation modeling technique. Our findings indicated that strategic leadership behaviors are positively related to trust in the buyer–supplier relationship. In addition, trust enhances relational commitment between buyer and supplier, which in turn positively relates to information sharing and supplier development. Further, increased information sharing in the relationship results in reduced purchasing cycle time. Implications for both theory and practice are discussed in depth, and directions for future research are suggested.
Josune Saenz - One of the best experts on this subject based on the ideXlab platform.
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Exploring the Links between Structural Capital, Knowledge Sharing, Innovation Capability and Business Competitiveness: An Empirical Study
Cultural Implications of Knowledge Sharing Management and Transfer, 2020Co-Authors: Josune Saenz, Nekane Aramburu, Olga RiveraAbstract:The aim of this chapter is to analyze the degree of influence of different organizational enablers (i.e., “Structural Capital”) on knowledge sharing, as well as the influence of the latter and other Structural Capital components on innovation capability, both from a theoretical and empirical perspective. Additionally, the relevance of different innovation capability dimensions (i.e., ideation, project management, and timeliness and cost efficiency) on business competitiveness will be examined. For these relationships to be tested, an empirical study has been carried out among Spanish manufacturing firms with more than 50 employees and with R&D activities. To this end, a questionnaire has been designed and submitted to the CEOs of the companies making up the target population of the research. Structural equation modelling (SEM) based on partial least squares (PLS) has then been applied in order to test the main hypotheses of the research.
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Structural Capital, innovation capability, and size effect: An empirical study
Journal of Management & Organization, 2020Co-Authors: Nekane Aramburu, Josune SaenzAbstract:AbstractThe aim of this paper is to analyze the impact of different organizational enablers – i.e. ‘Structural Capital’ – on the ideation stage of innovation processes from an ‘intellectual Capital’ (IC) perspective. Considering company size as one of the most relevant contingent variables as regards organizational conditions, the moderator role of this variable is also examined. To gather information about the variables under study, a questionnaire has been designed and addressed to the CEOs of a set of 142 Spanish manufacturing firms with more than 50 employees and which carry out R&D activities. Structural equation modelling (SEM) based on partial least squares (PLS) has then been applied in order to test the hypotheses drawn from the research. The results obtained show the organizational components which exert the greatest impact on the ideation phase and, therefore, the priority aspects to work on, in order to enhance this particular dimension of the innovation capability.
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Structural Capital innovation capability and company performance in technology based colombian firms
Cuadernos de Gestión, 2015Co-Authors: Nekane Aramburu, Josune Saenz, Carlos E BlancoAbstract:[EN] In today s economy, innovation is considered to be one of the main driving forces behind business competitiveness, if not the most relevant one. Traditionally, the study of innovation has been addressed from different perspectives. Recently, literature on knowledge management and intellectual Capital has provided new insights. Considering this, the aim of this paper is to analyze the impact of different organizational conditions i.e. Structural Capital on innovation capability and innovation performance, from an intellectual Capital (IC) perspective. As regards innovation capability, two dimensions are considered: new idea generation and innovation project management. The population subject to study is made up of technology-based Colombian firms. In order to gather information about the relevant variables involved in the research, a questionnaire was designed and addressed to the CEOs of the companies making up the target population. The sample analyzed is made up of 69 companies and is large enough to carry out a statistical study based on Structural equation modelling (partial least squares approach) using PLS-Graph software (Chin and Frye, 2003). The results obtained show that Structural Capital explains to a great extent both the effectiveness of the new idea generation process and of innovation project management. However, the influence of each specific organizational component making up Structural Capital (organizational design, organizational culture, hiring and professional development policies, innovation strategy, technological Capital, and external structure) varies. Moreover, successful innovation project management is the only innovation capability dimension that exerts a significant impact on company performance.
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Structural Capital innovation capability and size effect an empirical study
Journal of Management & Organization, 2011Co-Authors: Nekane Aramburu, Josune SaenzAbstract:The aim of this paper is to analyse the impact of different organizational enablers – i.e. “Structural Capital” – on the ideation stage of innovation processes from an “intellectual Capital” (IC) perspective. On the other hand, considering company size as one of the most relevant contingent variables as regards organizational conditions, the moderator role of this variable is also examined. To gather information about the variables under study, a questionnaire has been designed and addressed to the CEOs of a set of 142 Spanish manufacturing firms with more than 50 employees and R&D activities. Structural equation modelling (SEM) based on partial least squares (PLS) has then been applied in order to test the hypotheses of the research. The results obtained show the organizational components which exert the greatest impact on the ideation phase and, therefore, the priority aspects to work on, in order to enhance this particular dimension of the innovation capability
Damita Maharani - One of the best experts on this subject based on the ideXlab platform.
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PENGARUH INTELLECTUAL Capital TERHADAP KINERJA KEUANGAN PERUSAHAAN PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI)TAHUN 2008-2012
2015Co-Authors: Damita MaharaniAbstract:ABSTRAK Penelitian ini bertujuan untuk menguji pengaruh ketiga komponen dalam intellectual Capital yaitu human Capital, Structural Capital dan customer Capital terhadap kinerja keuangan perusahaaan perbankan. Model pengukuran intellectual Capital dengan menggunakan model Pulic, yaitu Value Added Human Capital (VAHU), Structural Capital Value Added (STVA) dan Value Added Capital Employed (VACA). Kinerja keuagan perusaahaan diukur dengan Return on Asset (ROA). Penelitian ini juga menggunakan variabel kontrol yaitu ukuran perusahaan yang diukur oleh LN aset. Data yang digunakan adalah data perusahaan perbankan yang terdaftar di Bursa Efek Indonesia (BEI) periode tahun 2008-2012. Pengumpulan data penelitian menggunakan metode purposie sampling. Data yang diperoleh berjumlah 95 perusahaan. Penelitian ini menggunakan regresi linier berganda untuk menganalisis data. Hasil penelitian adalah sebagai berikut: (1) Value Added Human Capital (VAHU) berpengaruh signifikan negatif terhadap ROA. (2) Structural Capital Value Added (STVA) berpengaruh signifikan terhadap ROA. (3) Value Added Capital Employed (VACA) berpengaruh signifikan terhadap ROA. (4) Value Added Human Capital (VAHU), Structural Capital Value Added (STVA), Value Added Capital Employed (VACA) bepengaruh signifikan terhadap ROA. (5) Ukuran perusahaan sebagai variabel kontrol tidak mempunyai pengaruh terhadap ROA. Kata kunci: Value Added Human Capital (VAHU), Structural Capital Value Added (STVA) dan Value Added Capital Employed (VACA), Return on Asset (ROA), ukuran perusahaan ABSTRACT This study aims to analyze the effect of three component of intellectual Capital consist of human Capital, Structural Capital, and costumer Capital on the financial performance of banking firms. Intellectual Capital measurement model using Pulic models, namely the Human Capital Value Added (VAHU), Structural Capital Value Added (STVA) and Value Added Capital Employed (VACA). Financial performance is measured by Return on Assets (ROA). In this study also used control variable, it is firm’s size that measured by LN aset. This research used banking company data listed in Indonesia Stock Exchange (IDX) 2008-2012. Research data collection using purposive sampling method. The data obtained are 95 companies. This study used multiple linier regression analysis to analyze. The result show: (1) Value Added Human Capital (VAHU) has a negative significant on ROA, (2) Structural Capital Value Added (STVA) has significant on ROA, (3) Value Added Capital Employed (VACA) has significant on ROA, (4) Value Added Human Capital (VAHU), Structural Capital Value Added (STVA) and Value Added Capital Employed (VACA) have significant on ROA. (5) Firm’s size as control variable doesn’t have effect on ROA. Keywords : Value Added Human Capita (VAHU), Structural Capital Value Added (STVA) dan Value Added Capital Employed (VACA), Return on Asset (ROA), firm’s size
