A Knowledge Assets Mapping Methodology to View Organizational Knowledge-Based Value Creation Dynamics

2011 ◽  
pp. 67-86 ◽  
Author(s):  
Daniela Carlucci ◽  
Giovanni Schiuma
Keyword(s):  
Decision Support ◽  
Value Creation ◽  
Cognitive Mapping ◽  
Critical Issue ◽  
Illustrative Case ◽  
Knowledge Assets ◽  
Case Examples ◽  
Knowledge Based ◽  
Support Methods ◽  
Multicriteria Decision Support

Nowadays knowledge assets are widely recognized as organizational resources that play a pivotal role in company’s value creation. However the mechanisms through which these assets take part in value creation are not yet well understood. This critical issue must be faced to enable managers to make better informed decisions with regard to knowledge assets allocation and management. This chapter describes a methodology aimed both to identify a company’s knowledge assets that significantly contribute to create value and analyze how these assets, through cause-and-effect mechanisms, activate value creation dynamics. The proposed methodology draws upon cognitive mapping principles and gathers insights from the strategic management literature. Moreover, it is based on the application of multicriteria decision support methods. The chapter presents three illustrative case examples that show how the proposed methodology can be applied in practice.

Using artificial intelligence to create value in insurance

2018 ◽  
Vol 36 (6) ◽  
pp. 1145-1168 ◽  
Author(s):  
Mikko Riikkinen ◽  
Hannu Saarijärvi ◽  
Peter Sarlin ◽  
Ilkka Lähteenmäki
Keyword(s):  
Artificial Intelligence ◽  
Conceptual Framework ◽  
Value Creation ◽  
Illustrative Case ◽  
Content Type ◽  
Customer Data ◽  
Case Examples ◽  
Service Logic ◽  
Access To Data ◽  
Convenient Access

Purpose Recent technological and digital developments have opened new avenues for customer data utilization in insurance services. One form of this data transformation is automated chatbots that provide convenient access to data leveraged through a discussion-like interface. The purpose of this paper is to uncover how insurance chatbots support customers’ value creation. Design/methodology/approach Three complementary theoretical perspectives – artificial intelligence, service logic, and reverse use of customer data – are briefly discussed and integrated into a conceptual framework. The suggested framework is further shown through illustrative case examples that characterize different ways of supporting customers’ value creation. Findings Chatbots represent a new type of interaction through which companies can influence customers’ value creation by providing them with additional resources. Based on the proposed conceptual framework and the illustrative case examples, four metaphors are identified that characterize how insurance chatbots can support customers’ value creation. Research limitations/implications The study is conceptual in nature, and the case examples are used for illustrative purposes. No representative data from those users who will eventually determine whether chatbots are of value was used. Practical implications Using the suggested framework, which is aligned with provider service logic, insurance companies can consider what kind of a role they wish to play in customers’ value-creating processes. Originality/value Automated chatbots provide convenient access to data leveraged through a discussion-like interface. This study is among the earliest to address their value-creating potential in insurance.

Knowledge Infrastructure

2010 ◽  
pp. 102-117 ◽  
Author(s):  
Sujeeva Setunge ◽  
Arun Kumar
Keyword(s):  
Socioeconomic Development ◽  
Research Training ◽  
Critical Issue ◽  
Endogenous Development ◽  
Knowledge Assets ◽  
Technology Knowledge ◽  
Knowledge Based ◽  
Knowledge Infrastructure ◽  
Infrastructure Provision ◽  
Innovation And Technology

Urban infrastructure along the hard forms such as roads, electricity, water and sewers also includes the soft forms such as research, training, innovation and technology. Knowledge and creativity are keys to soft infrastructure and socioeconomic development. Many city administrations around the world adjust their endogenous development strategies increasingly by investing in soft infrastructure and aiming for a knowledge-based development. At this point, the mapping and management of knowledge assets of cities has become a critical issue for promoting creative urban regions. The chapter scrutinizes the relations between knowledge assets and urban infrastructures and examines the management models to improve soft infrastructure provision.

Knowledge Infrastructure

2012 ◽  
pp. 1476-1491
Author(s):  
Sujeeva Setunge ◽  
Arun Kumar
Keyword(s):  
Socioeconomic Development ◽  
Research Training ◽  
Critical Issue ◽  
Endogenous Development ◽  
Knowledge Assets ◽  
Technology Knowledge ◽  
Knowledge Based ◽  
Knowledge Infrastructure ◽  
Infrastructure Provision ◽  
Innovation And Technology

Urban infrastructure along the hard forms such as roads, electricity, water and sewers also includes the soft forms such as research, training, innovation and technology. Knowledge and creativity are keys to soft infrastructure and socioeconomic development. Many city administrations around the world adjust their endogenous development strategies increasingly by investing in soft infrastructure and aiming for a knowledge-based development. At this point, the mapping and management of knowledge assets of cities has become a critical issue for promoting creative urban regions. The chapter scrutinizes the relations between knowledge assets and urban infrastructures and examines the management models to improve soft infrastructure provision.

scholarly journals Systems Analysis – a new paradigm and decision support tools for the water framework directive

2008 ◽  
Vol 12 (3) ◽  
pp. 739-749 ◽  
Author(s):  
M. Bruen
Keyword(s):  
Decision Support ◽  
Water Framework Directive ◽  
Systems Analysis ◽  
Cognitive Mapping ◽  
New Technology ◽  
Environmental Issues ◽  
New Paradigm ◽  
Support Tools ◽  
Support Methods ◽  
Hierarchy Process

Abstract. In the early days of Systems Analysis the focus was on providing tools for optimisation, modelling and simulation for use by experts. Now there is a recognition of the need to develop and disseminate tools to assist in making decisions, negotiating compromises and communicating preferences that can easily be used by stakeholders without the need for specialist training. The Water Framework Directive (WFD) requires public participation and thus provides a strong incentive for progress in this direction. This paper places the new paradigm in the context of the classical one and discusses some of the new approaches which can be used in the implementation of the WFD. These include multi-criteria decision support methods suitable for environmental problems, adaptive management, cognitive mapping, social learning and cooperative design and group decision-making. Concordance methods (such as ELECTRE) and the Analytical Hierarchy Process (AHP) are identified as multi-criteria methods that can be readily integrated into Decision Support Systems (DSS) that deal with complex environmental issues with very many criteria, some of which are qualitative. The expanding use of the new paradigm provides an opportunity to observe and learn from the interaction of stakeholders with the new technology and to assess its effectiveness.

Managing and Measuring Knowledge Assets Dynamics for Business Value Creation in Organisations

2011 ◽  
pp. 13-29 ◽  
Author(s):  
Giovanni Schiuma
Keyword(s):  
Value Creation ◽  
Business Value ◽  
Competitive Advantages ◽  
Knowledge Assets ◽  
Knowledge Based ◽  
Management Processes ◽  
Organisational Knowledge ◽  
Conceptual Background ◽  
Knowledge Dynamics ◽  
Sustainable Competitive Advantages

The ability of an organisation to govern knowledge assets dynamics lies at the core of an organisation’s value creation capacity. A key challenge both for researchers and for practitioners is to understand how to manage and measure knowledge assets dynamics. In this chapter three fundamental management processes affecting the knowledge-based strategies for business value creation are introduced. They provide the conceptual background to understand how to measure and manage knowledge assets within organisations. The three processes are ‘identification and measurement of knowledge assets’, ‘mapping knowledge assets’ and ‘managing knowledge assets flows’. The ability of an organisation to gain sustainable competitive advantages is related to the capacity of mastering these processes. Each process is analysed introducing the possible frameworks which can inspire both scholars investigating the microfoundations of organisational knowledge dynamics, and for practitioners looking for approaches for leveraging knowledge assets to drive the enhancement of organisational value creation.

scholarly journals Systems analysis – a new paradigm and decision support tools for the water framework directive

2007 ◽  
Vol 4 (3) ◽  
pp. 1491-1518
Author(s):  
M. Bruen
Keyword(s):  
Decision Support ◽  
Water Framework Directive ◽  
Systems Analysis ◽  
Cognitive Mapping ◽  
New Technology ◽  
New Paradigm ◽  
Fully Integrated ◽  
Support Tools ◽  
Support Methods ◽  
Hierarchy Process

Abstract. In the early days of Systems Analysis the focus was on providing tools for optimisation, modelling and simulation for use by experts. Now there is a recognition of the need to develop and disseminate tools to assist in making decisions, negotiating compromises and communicating preferences that can easily be used by stakeholders without the need for specialist training. The Water Framework Directive (WFD) requires public participation and thus provides a strong incentive for progress in this direction. This paper places the new paradigm in the context of the classical one and discusses some of the new approaches which can be used in the implementation of the WFD. These include multi-criteria decision support methods suitable for environmental problems, adaptive management, cognitive mapping, social learning and cooperative design and group decision-making. Concordance methods (such as ELECTRE) and the Analytical Hierarchy Process (AHP) are identified as multi-criteria methods that can be readily integrated into Decision Support Systems (DSS) that deal with complex environmental issues with very many criteria, some of which are qualitative. The expanding use of the new paradigm provides an opportunity to observe and learn from the interaction of stakeholders with the new technology and to assess its effectiveness. This is best done by trained sociologists fully integrated into the processes. The WINCOMS research project is an example applied to the implementation of the WFD in Ireland.

Generating disassembly tasks for selective disassembly using ontology-based disassembly knowledge representation

2018 ◽  
Vol 38 (2) ◽  
pp. 113-124 ◽  
Author(s):  
Hui Jiang ◽  
Jianjun Yi ◽  
Xiaomin Zhu ◽  
Zhao Li
Keyword(s):  
Decision Support ◽  
Design Methodology ◽  
Connection Matrix ◽  
Tool Selection ◽  
Content Type ◽  
Knowledge Based ◽  
Ontology Model ◽  
Disassembly Sequence ◽  
Selective Disassembly ◽  
Support Methods

Purpose This paper aims to develop methods for generating disassembly tasks for selective disassembly. The disassembly task contains the disassembly information, namely, disassembly direction, disassembly tool and selective disassembly sequence. Design/methodology/approach Ontology is adopted to represent the product, and ontology rules are used to represent the disassembly knowledge. A product ontology model (POM) is introduced on the basis of material, connection matrix and interference matrix. Two types of disassembly knowledge are taken into account, one is the disassembly knowledge of disassembly tool selection and the other is the disassembly knowledge of special connections. Based on the POM and the disassembly knowledge, decision support methods are designed to generate disassembly tasks. Findings A centrifugal pump is used to demonstrate the proposed methods, and the result shows that the methods work well. Research limitations/implications The methods developed in this study are fundamental approaches. The ontology and the ontology rules can be extended with more disassembly knowledge. Originality/value The main contribution of this research is the development of methods for representing disassembly knowledge based on ontology rules and the decision support methods for generating disassembly tasks.

Knowledge Assets and Value Creation

2011 ◽  
pp. 264-277
Author(s):  
Antonio Lerro ◽  
Giovanni Schiuma
Keyword(s):  
Value Creation ◽  
Knowledge Assets ◽  
Knowledge Based ◽  
Strategic Resources

The purpose of this chapter is to investigate the relevance of the knowledge assets as strategic resources and sources of territorial value creation dynamics. Firstly, it begins with the notion of value creation at territorial level. It then present a knowledge-based interpretation of territorial strategic resources, using the Knoware Tree as framework to identify and classify territorial knowledge assets as a framework driving the design of potential indicators and metrics to assess territorial knowledge assets.

scholarly journals Penerapan Sistem Pendukung Keputusan Menentukan Ranking Sekolah Unggulan Kabupaten Nias Dengan Menggunakan Metode AHP

2021 ◽  
Vol 4 (5) ◽  
pp. 323-330
Author(s):  
Kristiani Zega ◽  
Hasanul Fahmi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ahp Method ◽  
Web Based ◽  
Building Conditions ◽  
Knowledge Based ◽  
System Method ◽  
Computer Based ◽  
Support Methods

One of the computational methods that is currently developing is the Decision Support System method. Decision Support System is part of a computer-based information system including a knowledge-based system that is used to support decision making. In choosing a school, prospective students tend to follow their friends without knowing which school to go to in accordance with educational standards. The Analytical Hierarchy Process (AHP) method was declared feasible because it is faster and more effective, so it can be ascertained that the application of the AHP method can solve problems in the selection of superior schools in Nias Regency. Alternative data consisted of SMAN 1 Gido, SMAN 1 Botomuzoi, SMAN 2 Gunung Sitoli, SMAN 1 Gunungsitoli. Data criteria include Teacher Education, Building Conditions, School Cleanliness, Facilities. Processing of SPK using the AHP method resulted in the school of SMAN 2 Gunung Sitoli having the highest score of 2.68. Web-based system built using PHP with AHP decision support methods and MySQL database.

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