Information about Value Network Analysis
Value network analysis is a methodology for understanding, using, visualizing, optimizing internal and external value networks and complex economic ecosystems. The methods include visualizing sets of relationships from a dynamic whole systems perspective. Robust network analysis approaches are used for understanding value conversion of financial and non-financial assets, such as intellectual capital, into other forms of value.
The value conversion question is critical in both social exchange theory that considers the cost/benefit returns of informal exchanges and more classical views of exchange value where there is concern with conversion of value into financial value or price.
Value network analysis offers a taxonomy for non-financial business reporting, which is becoming increasingly important in SEC Filings. In some approaches taxonomies are supported by Extensible Business Reporting Language XBRL. Venture capitalists and investors are concerned with the capability of a firm to create value in future. Financial statements are limited to current and past financial indicaters and valuations of capital assets. In contrast, value network analysis is one approach to assessing current and future capability for value creation and to describe and analyze a business model.
Advocates of VNA claim that strong value-creating relationships support successful business endeavors at the operational, tactical, and strategic levels. A value network perspective, in this context would encompass both internal and external value networks — loose yet complex configurations of roles within industries, businesses, business units or functions and teams within organizations that engage in mutually beneficial relationships. Tools used in the past to analyze business value creation, such as value chain and value added, are linear and mechanistic approaches based on a process perspective. These approaches are considered inadequate to address this new level of business complexity where value creating activities occur in complex, interdependent and dynamic relationships between multiple sets of actors.
Other claims for value network analysis are
Along with the more traditional business transactions the critical intangible exchanges are also mapped. Intangible exchanges are those mostly informal knowledge exchanges and benefits or support that build relationships and keep things running smoothly. These informal exchanges are actually the key to creating trust and opening pathways for innovation and new ideas. Traditional business practices ignore these important intangible exchanges, but they are made visible with a value network analysis.
The visualizations and diagrams link to a variety of assessments, usually handled in Excel type spreadsheets — to increase value outputs, to leverage knowledge and intangibles for improving financial and organizational performance, and to find new value opportunities. When the analysis is complete people gain insights into what is actually happening now, where more value can be realized, and what is required to achieve maximum value benefit across the entire business activity that is the focus of the analysis.
Taxonomy is the practice and science of classification. The word comes from the Greek τάξις, taxis, 'order' +
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The value conversion question is critical in both social exchange theory that considers the cost/benefit returns of informal exchanges and more classical views of exchange value where there is concern with conversion of value into financial value or price.
Value network analysis offers a taxonomy for non-financial business reporting, which is becoming increasingly important in SEC Filings. In some approaches taxonomies are supported by Extensible Business Reporting Language XBRL. Venture capitalists and investors are concerned with the capability of a firm to create value in future. Financial statements are limited to current and past financial indicaters and valuations of capital assets. In contrast, value network analysis is one approach to assessing current and future capability for value creation and to describe and analyze a business model.
Advocates of VNA claim that strong value-creating relationships support successful business endeavors at the operational, tactical, and strategic levels. A value network perspective, in this context would encompass both internal and external value networks — loose yet complex configurations of roles within industries, businesses, business units or functions and teams within organizations that engage in mutually beneficial relationships. Tools used in the past to analyze business value creation, such as value chain and value added, are linear and mechanistic approaches based on a process perspective. These approaches are considered inadequate to address this new level of business complexity where value creating activities occur in complex, interdependent and dynamic relationships between multiple sets of actors.
Other claims for value network analysis are
- that it is an essential skill for a successful enterprise dependent on knowledge exchanges and collaborative relationships, which are seen as critical in almost every industry.
- that this type of analysis helps individuals and work groups better manage their interactions and address operational issues, such as balancing workflows or improving communication.
- that the approach also scales up to the business level to help forge stronger value-creating linkages with strategic partners and improve stakeholder relationships.
- that it also integrates with other modeling tools such as Lean Manufacturing, Six Sigma, workflow tools, business process reengineering, social network analysis tools and system dynamics.
Basics of value network analysis
Value network analysis addresses both financial and non-financial value. Every business relationship includes contractual or mandated activities between participants — and also informal exchanges of knowledge, favors, and benefits. The analysis begins with a visual map or diagram that first shows the essential contractual, tangible revenue- or funding-related business transactions and exchanges that occur between each node of the networks. Although nodes typically represent roles, they can also be individuals, groups of individuals such as a business unit or aggregates of groups such as a type of business in an industry network.Along with the more traditional business transactions the critical intangible exchanges are also mapped. Intangible exchanges are those mostly informal knowledge exchanges and benefits or support that build relationships and keep things running smoothly. These informal exchanges are actually the key to creating trust and opening pathways for innovation and new ideas. Traditional business practices ignore these important intangible exchanges, but they are made visible with a value network analysis.
The visualizations and diagrams link to a variety of assessments, usually handled in Excel type spreadsheets — to increase value outputs, to leverage knowledge and intangibles for improving financial and organizational performance, and to find new value opportunities. When the analysis is complete people gain insights into what is actually happening now, where more value can be realized, and what is required to achieve maximum value benefit across the entire business activity that is the focus of the analysis.
See also
Value networkExternal links
- VisualComplexity.com - a visual exploration on mapping complicated and complex networks
- CASOS - Center for Computational Analysis of Social and Organizational Systems at Carnegie Mellon
- NetLab- at the University of Toronto, studies the intersection of social, communication, information and computing networks
Value networks are complex sets of social and technical resources. They work together via relationships to create economic value. This value takes the form of knowledge. Value networks exhibit interdependence. They account for the overall worth of products and services.
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Value conversion is relevant to the managing of intangible assets or intellectual capital. It refers to the act of transforming financial to non-financial value or an intangible asset into a financial asset.
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Intellectual Capital was a pioneer webzine opinion and discussion forum begun in 1996 by Pete duPont. After several years it was bought by Speak Out and subsumed into its portfolio of web offerings.
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External links
- An Inside Look At...IntellectualCapital.
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Social exchange theory is a social psychological and sociological perspective that explains social change and stability as a process of negotiated exchanges between parties.
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In political economy and especially Marxian economics, exchange value refers to one of four major attributes of a commodity, i.e., an item or service produced for, and sold on, the market. The other three aspects are use value, value and price.
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For the science of classifying living things, see .
Taxonomy is the practice and science of classification. The word comes from the Greek τάξις, taxis, 'order' +
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An SEC filing is financial statement or other formal document submitted to the U.S. Securities and Exchange Commission (SEC). Public companies and certain insiders are required to make regular SEC filings.
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Extensible Business Reporting Language
File extension:
MIME type:
Developed by: XBRL
Type of format: Markup language
Extended from: XML
Standard(s): XBRL 2.
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File extension:
.xbrl, .xmlMIME type:
application/xmlDeveloped by: XBRL
Type of format: Markup language
Extended from: XML
Standard(s): XBRL 2.
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Venture capital is a type of private equity capital typically provided by professional, outside investors to new, growth businesses. Generally made as cash in exchange for shares in the investee company, venture capital investments are usually high risk, but offer the potential
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Financial statements (or financial reports) are formal records of a business' financial activities. These statements provide an overview of a business' profitability and financial condition in both short and long term.
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The term business model describes a broad range of informal and formal models that are used by enterprises to represent various aspects of business, such as operational processes, organizational structures, and financial forecasts.
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The value chain, also known as value chain analysis, is a concept from business management that was first described and popularized by Michael Porter in his 1985 best-seller, Competitive Advantage: Creating and Sustaining Superior Performance.
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Value added refers to the additional value created at a particular stage of production or through image and marketing. In modern neoclassical economics, especially in macroeconomics, it refers to the contribution of the factors of production, i.e.
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Lean manufacturing is the production of goods using less of everything compared to mass production: less human effort, less manufacturing space, less investment in tools, and less engineering time to develop a new product.
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Six Sigma is a set of practices originally developed by Motorola to systematically improve processes by eliminating defects.[1] A defect is defined as nonconformity of a product or service to its specifications.
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A workflow is a reliably repeatable pattern of activity enabled by a systematic organization of resources, defined roles and mass, energy and information flows, into a work process that can be documented and learned.
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Business process reengineering (BPR) is a management approach aiming at improvements by means of elevating efficiency and effectiveness of the processes that exist within and across organizations.
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social network is a social structure made of nodes (which are generally individuals or organizations) that are tied by one or more specific types of interdependency, such as values, visions, idea, financial exchange, friends, kinship, dislike, conflict, trade, web links, sexual
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System dynamics is an approach to understanding the behaviour of complex systems over time. It deals with internal feedback loops and time delays that affect the behaviour of the entire system.
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Value networks are complex sets of social and technical resources. They work together via relationships to create economic value. This value takes the form of knowledge. Value networks exhibit interdependence. They account for the overall worth of products and services.
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