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A fuzzy methodology for innovation management measurement
Purpose Innovation has been recognized as one of the main sources of competitive advantage for organizations and nations. The purpose of this study is to present an innovation management measurement approach by applying fuzzy techniques to small- and medium-sized manufacturing enterprises. Design/me...
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| Published in: | Kybernetes 2017-01, Vol.46 (1), p.50-66 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c387t-ed4114d66442ebf4becee39500b42fd5576b09cb938e362b527c3426c379766d3 |
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| cites | cdi_FETCH-LOGICAL-c387t-ed4114d66442ebf4becee39500b42fd5576b09cb938e362b527c3426c379766d3 |
| container_end_page | 66 |
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| container_title | Kybernetes |
| container_volume | 46 |
| creator | Alfaro-García, Víctor G Gil Lafuente, Anna Maria Alfaro Calderón, Gerardo G |
| description | Purpose
Innovation has been recognized as one of the main sources of competitive advantage for organizations and nations. The purpose of this study is to present an innovation management measurement approach by applying fuzzy techniques to small- and medium-sized manufacturing enterprises.
Design/methodology/approach
This study presents a survey focusing on seven innovation measurement areas: innovation strategy, knowledge management, project management, portfolio management, internal enablers, organization and structure and external enablers. A total of 91 small- and medium-sized enterprises (SMEs) located in the city of Morelia, Mexico, participated in the study. Furthermore, the data collected were analyzed under a multi-criteria decision-making approach using the theory of expertons and the induced generalized ordered weighted averaging operator.
Findings
The results show that the most valued areas are innovation strategy, organization and structure, knowledge management and project management. Furthermore, portfolio management, external drivers and internal drivers are the areas with the lowest valuations.
Originality/value
This paper presents an original methodological structure based on an expertise process designed to achieve well-founded results from uncertain and subjective opinions directly from the managers of the surveyed SMEs. |
| doi_str_mv | 10.1108/K-06-2016-0153 |
| format | article |
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Innovation has been recognized as one of the main sources of competitive advantage for organizations and nations. The purpose of this study is to present an innovation management measurement approach by applying fuzzy techniques to small- and medium-sized manufacturing enterprises.
Design/methodology/approach
This study presents a survey focusing on seven innovation measurement areas: innovation strategy, knowledge management, project management, portfolio management, internal enablers, organization and structure and external enablers. A total of 91 small- and medium-sized enterprises (SMEs) located in the city of Morelia, Mexico, participated in the study. Furthermore, the data collected were analyzed under a multi-criteria decision-making approach using the theory of expertons and the induced generalized ordered weighted averaging operator.
Findings
The results show that the most valued areas are innovation strategy, organization and structure, knowledge management and project management. Furthermore, portfolio management, external drivers and internal drivers are the areas with the lowest valuations.
Originality/value
This paper presents an original methodological structure based on an expertise process designed to achieve well-founded results from uncertain and subjective opinions directly from the managers of the surveyed SMEs.</description><identifier>ISSN: 0368-492X</identifier><identifier>EISSN: 1758-7883</identifier><identifier>DOI: 10.1108/K-06-2016-0153</identifier><language>eng</language><publisher>London: Emerald Publishing Limited</publisher><subject>Business competition ; Decision analysis ; Decision making ; Decision theory ; Fuzzy systems ; Gestió de la innovació ; Innovation management ; Innovations ; Knowledge management ; Measure algebras ; Methodology ; Metodologia ; Multiple criterion ; Performance evaluation ; Petita i mitjana empresa ; Portfolio management ; Presa de decisions (Estadística) ; Project management ; R&D ; Research & development ; Research & development expenditures ; Sistemes borrosos ; Small business ; Statistical decision ; Studies ; Àlgebres de mesura</subject><ispartof>Kybernetes, 2017-01, Vol.46 (1), p.50-66</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2017</rights><rights>(c) Emerald, 2017 info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c387t-ed4114d66442ebf4becee39500b42fd5576b09cb938e362b527c3426c379766d3</citedby><cites>FETCH-LOGICAL-c387t-ed4114d66442ebf4becee39500b42fd5576b09cb938e362b527c3426c379766d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids></links><search><creatorcontrib>Alfaro-García, Víctor G</creatorcontrib><creatorcontrib>Gil Lafuente, Anna Maria</creatorcontrib><creatorcontrib>Alfaro Calderón, Gerardo G</creatorcontrib><title>A fuzzy methodology for innovation management measurement</title><title>Kybernetes</title><description>Purpose
Innovation has been recognized as one of the main sources of competitive advantage for organizations and nations. The purpose of this study is to present an innovation management measurement approach by applying fuzzy techniques to small- and medium-sized manufacturing enterprises.
Design/methodology/approach
This study presents a survey focusing on seven innovation measurement areas: innovation strategy, knowledge management, project management, portfolio management, internal enablers, organization and structure and external enablers. A total of 91 small- and medium-sized enterprises (SMEs) located in the city of Morelia, Mexico, participated in the study. Furthermore, the data collected were analyzed under a multi-criteria decision-making approach using the theory of expertons and the induced generalized ordered weighted averaging operator.
Findings
The results show that the most valued areas are innovation strategy, organization and structure, knowledge management and project management. Furthermore, portfolio management, external drivers and internal drivers are the areas with the lowest valuations.
Originality/value
This paper presents an original methodological structure based on an expertise process designed to achieve well-founded results from uncertain and subjective opinions directly from the managers of the surveyed SMEs.</description><subject>Business competition</subject><subject>Decision analysis</subject><subject>Decision making</subject><subject>Decision theory</subject><subject>Fuzzy systems</subject><subject>Gestió de la innovació</subject><subject>Innovation management</subject><subject>Innovations</subject><subject>Knowledge management</subject><subject>Measure algebras</subject><subject>Methodology</subject><subject>Metodologia</subject><subject>Multiple criterion</subject><subject>Performance evaluation</subject><subject>Petita i mitjana empresa</subject><subject>Portfolio management</subject><subject>Presa de decisions (Estadística)</subject><subject>Project management</subject><subject>R&D</subject><subject>Research & development</subject><subject>Research & development expenditures</subject><subject>Sistemes borrosos</subject><subject>Small business</subject><subject>Statistical decision</subject><subject>Studies</subject><subject>Àlgebres de mesura</subject><issn>0368-492X</issn><issn>1758-7883</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNplkc1LAzEQxYMoWKtXzwueUzNJNskeS_GLCl4UvIVsNlu3dDc12RXav96sLYh4GGYG3u8xvEHoGsgMgKjbJSYCUwICE8jZCZqAzBWWSrFTNCFMKMwL-n6OLmJcEwJUUDJBxTyrh_1-l7Wu__CV3_jVLqt9yJqu81-mb3yXtaYzK9e6rk8qE4fwM1-is9psors69il6u797XTzi55eHp8X8GVumZI9dxQF4JQTn1JU1L511jhU5ISWndZXnUpSksGXBlGOCljmVlnEqLJOFFKJiUwQHXxsHq0PCgzW99qb5XcaiRFJNFYBiibk5MNvgPwcXe732Q-jSmRqUyDlQKSCpZkfn4GMMrtbb0LQm7DQQPUaql5oIPUaqx0gTgA9ACiCYTfVf_-cF7BvFynVd</recordid><startdate>20170101</startdate><enddate>20170101</enddate><creator>Alfaro-García, Víctor G</creator><creator>Gil Lafuente, Anna Maria</creator><creator>Alfaro Calderón, Gerardo G</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><general>Emerald</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>7X5</scope><scope>7XB</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K6~</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>XX2</scope></search><sort><creationdate>20170101</creationdate><title>A fuzzy methodology for innovation management measurement</title><author>Alfaro-García, Víctor G ; Gil Lafuente, Anna Maria ; Alfaro Calderón, Gerardo G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c387t-ed4114d66442ebf4becee39500b42fd5576b09cb938e362b527c3426c379766d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Business competition</topic><topic>Decision analysis</topic><topic>Decision making</topic><topic>Decision theory</topic><topic>Fuzzy systems</topic><topic>Gestió de la innovació</topic><topic>Innovation management</topic><topic>Innovations</topic><topic>Knowledge management</topic><topic>Measure algebras</topic><topic>Methodology</topic><topic>Metodologia</topic><topic>Multiple criterion</topic><topic>Performance evaluation</topic><topic>Petita i mitjana empresa</topic><topic>Portfolio management</topic><topic>Presa de decisions (Estadística)</topic><topic>Project management</topic><topic>R&D</topic><topic>Research & development</topic><topic>Research & development expenditures</topic><topic>Sistemes borrosos</topic><topic>Small business</topic><topic>Statistical decision</topic><topic>Studies</topic><topic>Àlgebres de mesura</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alfaro-García, Víctor G</creatorcontrib><creatorcontrib>Gil Lafuente, Anna Maria</creatorcontrib><creatorcontrib>Alfaro Calderón, Gerardo G</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Entrepreneurship Database</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection</collection><collection>Computer science database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>ProQuest research library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>Recercat</collection><jtitle>Kybernetes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alfaro-García, Víctor G</au><au>Gil Lafuente, Anna Maria</au><au>Alfaro Calderón, Gerardo G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A fuzzy methodology for innovation management measurement</atitle><jtitle>Kybernetes</jtitle><date>2017-01-01</date><risdate>2017</risdate><volume>46</volume><issue>1</issue><spage>50</spage><epage>66</epage><pages>50-66</pages><issn>0368-492X</issn><eissn>1758-7883</eissn><abstract>Purpose
Innovation has been recognized as one of the main sources of competitive advantage for organizations and nations. The purpose of this study is to present an innovation management measurement approach by applying fuzzy techniques to small- and medium-sized manufacturing enterprises.
Design/methodology/approach
This study presents a survey focusing on seven innovation measurement areas: innovation strategy, knowledge management, project management, portfolio management, internal enablers, organization and structure and external enablers. A total of 91 small- and medium-sized enterprises (SMEs) located in the city of Morelia, Mexico, participated in the study. Furthermore, the data collected were analyzed under a multi-criteria decision-making approach using the theory of expertons and the induced generalized ordered weighted averaging operator.
Findings
The results show that the most valued areas are innovation strategy, organization and structure, knowledge management and project management. Furthermore, portfolio management, external drivers and internal drivers are the areas with the lowest valuations.
Originality/value
This paper presents an original methodological structure based on an expertise process designed to achieve well-founded results from uncertain and subjective opinions directly from the managers of the surveyed SMEs.</abstract><cop>London</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/K-06-2016-0153</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0368-492X |
| ispartof | Kybernetes, 2017-01, Vol.46 (1), p.50-66 |
| issn | 0368-492X 1758-7883 |
| language | eng |
| recordid | cdi_csuc_recercat_oai_recercat_cat_2072_281183 |
| source | Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list) |
| subjects | Business competition Decision analysis Decision making Decision theory Fuzzy systems Gestió de la innovació Innovation management Innovations Knowledge management Measure algebras Methodology Metodologia Multiple criterion Performance evaluation Petita i mitjana empresa Portfolio management Presa de decisions (Estadística) Project management R&D Research & development Research & development expenditures Sistemes borrosos Small business Statistical decision Studies Àlgebres de mesura |
| title | A fuzzy methodology for innovation management measurement |
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