Value of information analysis for assessing risks and benefits of nanotechnology innovation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-12

AUTHORS

Alex Zabeo, Jeffrey M. Keisler, Danail Hristozov, Antonio Marcomini, Igor Linkov

ABSTRACT

Decisions on adoption of technological innovation are difficult for manufacturers, especially for small and medium enterprises (SMEs) who have limited resources but often drive product development. Decision analytic methods have been applied to regulatory issues in the nanotechnology sector but such applications to market innovation are not found in the literature. Value of information (VoI) is a decision analytic method for quantifying the benefit of acquiring additional information to support such analyses that can be used to help in a wide range of manufacturing decisions. This paper develops a VoI methodology for comparative evaluation of technological alternatives and applies it to a real case study aimed at the selection between a coating system containing nano-TiO2 and alternative conventional paints. The aim of this approach is to aid SMEs and larger industries in deciding whether to further develop the nano-enabled product and in evaluating to which extent investing in more research about risks and/or benefits would be worthwhile. Results demonstrated how prioritization in information gaining can improve risk–benefit analyses and impact on both risk management and innovation decision making. By applying the proposed methodology, SMEs and larger industries might easily identify optimal data gathering and/or research strategies to formulate solid development and risk management plans. More... »

PAGES

11

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12302-019-0194-0

DOI

http://dx.doi.org/10.1186/s12302-019-0194-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112089808


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1503", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Business and Management", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/15", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Commerce, Management, Tourism and Services", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Ca Foscari University of Venice", 
          "id": "https://www.grid.ac/institutes/grid.7240.1", 
          "name": [
            "Department of Environmental Sciences, Informatics and Statistics, University Ca\u2019 Foscari of Venice, Venice, Italy", 
            "GreenDecision Srl, Venice, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zabeo", 
        "givenName": "Alex", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Massachusetts Boston", 
          "id": "https://www.grid.ac/institutes/grid.266685.9", 
          "name": [
            "Management Sciences & Information Systems Department, University of Massachusetts Boston, Boston, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Keisler", 
        "givenName": "Jeffrey M.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ca Foscari University of Venice", 
          "id": "https://www.grid.ac/institutes/grid.7240.1", 
          "name": [
            "Department of Environmental Sciences, Informatics and Statistics, University Ca\u2019 Foscari of Venice, Venice, Italy", 
            "GreenDecision Srl, Venice, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hristozov", 
        "givenName": "Danail", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ca Foscari University of Venice", 
          "id": "https://www.grid.ac/institutes/grid.7240.1", 
          "name": [
            "Department of Environmental Sciences, Informatics and Statistics, University Ca\u2019 Foscari of Venice, Venice, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marcomini", 
        "givenName": "Antonio", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "United States Army Corps of Engineers", 
          "id": "https://www.grid.ac/institutes/grid.431335.3", 
          "name": [
            "Environmental Lab, Engineer Research and Development Center, US Army Corps of Engineers, Washington, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Linkov", 
        "givenName": "Igor", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.2307/41165746", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004074808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/41165746", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004074808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envint.2016.02.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004244655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.omega.2016.11.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008583691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10669-013-9439-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009816190", 
          "https://doi.org/10.1007/s10669-013-9439-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsoft.2011.08.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011346588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envint.2016.07.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013056372"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envint.2016.07.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013056372"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11051-015-2881-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019317865", 
          "https://doi.org/10.1007/s11051-015-2881-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envint.2011.05.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027057679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1029258068", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1029258068", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ssci.2014.10.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032649712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2011.163", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038041370", 
          "https://doi.org/10.1038/nnano.2011.163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2015.249", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047719056", 
          "https://doi.org/10.1038/nnano.2015.249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn1954", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053677811", 
          "https://doi.org/10.1038/nn1954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejor.2018.04.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103681158"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Decisions on adoption of technological innovation are difficult for manufacturers, especially for small and medium enterprises (SMEs) who have limited resources but often drive product development. Decision analytic methods have been applied to regulatory issues in the nanotechnology sector but such applications to market innovation are not found in the literature. Value of information (VoI) is a decision analytic method for quantifying the benefit of acquiring additional information to support such analyses that can be used to help in a wide range of manufacturing decisions. This paper develops a VoI methodology for comparative evaluation of technological alternatives and applies it to a real case study aimed at the selection between a coating system containing nano-TiO2 and alternative conventional paints. The aim of this approach is to aid SMEs and larger industries in deciding whether to further develop the nano-enabled product and in evaluating to which extent investing in more research about risks and/or benefits would be worthwhile. Results demonstrated how prioritization in information gaining can improve risk\u2013benefit analyses and impact on both risk management and innovation decision making. By applying the proposed methodology, SMEs and larger industries might easily identify optimal data gathering and/or research strategies to formulate solid development and risk management plans.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12302-019-0194-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1297492", 
        "issn": [
          "2190-4707", 
          "2190-4715"
        ], 
        "name": "Environmental Sciences Europe", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "31"
      }
    ], 
    "name": "Value of information analysis for assessing risks and benefits of nanotechnology innovation", 
    "pagination": "11", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6c9ab5068ead322b8806e93aaae852f22a216479fa2fc113c376538b5839f567"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12302-019-0194-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112089808"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12302-019-0194-0", 
      "https://app.dimensions.ai/details/publication/pub.1112089808"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:04", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000335_0000000335/records_125244_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12302-019-0194-0"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12302-019-0194-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12302-019-0194-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12302-019-0194-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12302-019-0194-0'


 

This table displays all metadata directly associated to this object as RDF triples.

137 TRIPLES      21 PREDICATES      41 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12302-019-0194-0 schema:about anzsrc-for:15
2 anzsrc-for:1503
3 schema:author N19388323c6234f8d8ce1af28925cf329
4 schema:citation sg:pub.10.1007/s10669-013-9439-4
5 sg:pub.10.1007/s11051-015-2881-0
6 sg:pub.10.1038/nn1954
7 sg:pub.10.1038/nnano.2011.163
8 sg:pub.10.1038/nnano.2015.249
9 https://app.dimensions.ai/details/publication/pub.1029258068
10 https://doi.org/10.1016/j.ejor.2018.04.040
11 https://doi.org/10.1016/j.envint.2011.05.005
12 https://doi.org/10.1016/j.envint.2016.02.021
13 https://doi.org/10.1016/j.envint.2016.07.016
14 https://doi.org/10.1016/j.envsoft.2011.08.010
15 https://doi.org/10.1016/j.omega.2016.11.008
16 https://doi.org/10.1016/j.ssci.2014.10.006
17 https://doi.org/10.2307/41165746
18 schema:datePublished 2019-12
19 schema:datePublishedReg 2019-12-01
20 schema:description Decisions on adoption of technological innovation are difficult for manufacturers, especially for small and medium enterprises (SMEs) who have limited resources but often drive product development. Decision analytic methods have been applied to regulatory issues in the nanotechnology sector but such applications to market innovation are not found in the literature. Value of information (VoI) is a decision analytic method for quantifying the benefit of acquiring additional information to support such analyses that can be used to help in a wide range of manufacturing decisions. This paper develops a VoI methodology for comparative evaluation of technological alternatives and applies it to a real case study aimed at the selection between a coating system containing nano-TiO2 and alternative conventional paints. The aim of this approach is to aid SMEs and larger industries in deciding whether to further develop the nano-enabled product and in evaluating to which extent investing in more research about risks and/or benefits would be worthwhile. Results demonstrated how prioritization in information gaining can improve risk–benefit analyses and impact on both risk management and innovation decision making. By applying the proposed methodology, SMEs and larger industries might easily identify optimal data gathering and/or research strategies to formulate solid development and risk management plans.
21 schema:genre research_article
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf N024aa2d476bc47ecb2ffba9efcff7611
25 Na36e800b3d6a4497873a6fbcca569ff8
26 sg:journal.1297492
27 schema:name Value of information analysis for assessing risks and benefits of nanotechnology innovation
28 schema:pagination 11
29 schema:productId N215b2787b3394777b9099fab14576d72
30 N33fce5cd949646a08dd9588c18523717
31 N943b85c64e0f44729a3a2a3ba1c31c93
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112089808
33 https://doi.org/10.1186/s12302-019-0194-0
34 schema:sdDatePublished 2019-04-11T09:04
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher Nf7d85db4ee5c447b86d25136033c01f8
37 schema:url https://link.springer.com/10.1186%2Fs12302-019-0194-0
38 sgo:license sg:explorer/license/
39 sgo:sdDataset articles
40 rdf:type schema:ScholarlyArticle
41 N024aa2d476bc47ecb2ffba9efcff7611 schema:issueNumber 1
42 rdf:type schema:PublicationIssue
43 N19388323c6234f8d8ce1af28925cf329 rdf:first N749ded9901544661b791a23b61695843
44 rdf:rest Nf328464a6f094f7fb540f2086aa58ba1
45 N1d5ebf48b2454a7d90a0dfe18ea11bed rdf:first N4e1f2f843a374717925ac02965690a18
46 rdf:rest Nffd0db4b6bd7435ab555ad3779818238
47 N215b2787b3394777b9099fab14576d72 schema:name doi
48 schema:value 10.1186/s12302-019-0194-0
49 rdf:type schema:PropertyValue
50 N33fce5cd949646a08dd9588c18523717 schema:name readcube_id
51 schema:value 6c9ab5068ead322b8806e93aaae852f22a216479fa2fc113c376538b5839f567
52 rdf:type schema:PropertyValue
53 N4e1f2f843a374717925ac02965690a18 schema:affiliation https://www.grid.ac/institutes/grid.7240.1
54 schema:familyName Marcomini
55 schema:givenName Antonio
56 rdf:type schema:Person
57 N73dd2489dc08469f8756f05defeb05bf rdf:first Nf01a977a0325466181c41bdbc124b059
58 rdf:rest N1d5ebf48b2454a7d90a0dfe18ea11bed
59 N749ded9901544661b791a23b61695843 schema:affiliation https://www.grid.ac/institutes/grid.7240.1
60 schema:familyName Zabeo
61 schema:givenName Alex
62 rdf:type schema:Person
63 N943b85c64e0f44729a3a2a3ba1c31c93 schema:name dimensions_id
64 schema:value pub.1112089808
65 rdf:type schema:PropertyValue
66 Na36e800b3d6a4497873a6fbcca569ff8 schema:volumeNumber 31
67 rdf:type schema:PublicationVolume
68 Nae6c007b601349a08d4e3055a478755f schema:affiliation https://www.grid.ac/institutes/grid.266685.9
69 schema:familyName Keisler
70 schema:givenName Jeffrey M.
71 rdf:type schema:Person
72 Nb848e099d04c4c59981e2d4a1e8304c4 schema:affiliation https://www.grid.ac/institutes/grid.431335.3
73 schema:familyName Linkov
74 schema:givenName Igor
75 rdf:type schema:Person
76 Nf01a977a0325466181c41bdbc124b059 schema:affiliation https://www.grid.ac/institutes/grid.7240.1
77 schema:familyName Hristozov
78 schema:givenName Danail
79 rdf:type schema:Person
80 Nf328464a6f094f7fb540f2086aa58ba1 rdf:first Nae6c007b601349a08d4e3055a478755f
81 rdf:rest N73dd2489dc08469f8756f05defeb05bf
82 Nf7d85db4ee5c447b86d25136033c01f8 schema:name Springer Nature - SN SciGraph project
83 rdf:type schema:Organization
84 Nffd0db4b6bd7435ab555ad3779818238 rdf:first Nb848e099d04c4c59981e2d4a1e8304c4
85 rdf:rest rdf:nil
86 anzsrc-for:15 schema:inDefinedTermSet anzsrc-for:
87 schema:name Commerce, Management, Tourism and Services
88 rdf:type schema:DefinedTerm
89 anzsrc-for:1503 schema:inDefinedTermSet anzsrc-for:
90 schema:name Business and Management
91 rdf:type schema:DefinedTerm
92 sg:journal.1297492 schema:issn 2190-4707
93 2190-4715
94 schema:name Environmental Sciences Europe
95 rdf:type schema:Periodical
96 sg:pub.10.1007/s10669-013-9439-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009816190
97 https://doi.org/10.1007/s10669-013-9439-4
98 rdf:type schema:CreativeWork
99 sg:pub.10.1007/s11051-015-2881-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019317865
100 https://doi.org/10.1007/s11051-015-2881-0
101 rdf:type schema:CreativeWork
102 sg:pub.10.1038/nn1954 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053677811
103 https://doi.org/10.1038/nn1954
104 rdf:type schema:CreativeWork
105 sg:pub.10.1038/nnano.2011.163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038041370
106 https://doi.org/10.1038/nnano.2011.163
107 rdf:type schema:CreativeWork
108 sg:pub.10.1038/nnano.2015.249 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047719056
109 https://doi.org/10.1038/nnano.2015.249
110 rdf:type schema:CreativeWork
111 https://app.dimensions.ai/details/publication/pub.1029258068 schema:CreativeWork
112 https://doi.org/10.1016/j.ejor.2018.04.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103681158
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/j.envint.2011.05.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027057679
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/j.envint.2016.02.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004244655
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/j.envint.2016.07.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013056372
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/j.envsoft.2011.08.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011346588
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/j.omega.2016.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008583691
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.ssci.2014.10.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032649712
125 rdf:type schema:CreativeWork
126 https://doi.org/10.2307/41165746 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004074808
127 rdf:type schema:CreativeWork
128 https://www.grid.ac/institutes/grid.266685.9 schema:alternateName University of Massachusetts Boston
129 schema:name Management Sciences & Information Systems Department, University of Massachusetts Boston, Boston, USA
130 rdf:type schema:Organization
131 https://www.grid.ac/institutes/grid.431335.3 schema:alternateName United States Army Corps of Engineers
132 schema:name Environmental Lab, Engineer Research and Development Center, US Army Corps of Engineers, Washington, USA
133 rdf:type schema:Organization
134 https://www.grid.ac/institutes/grid.7240.1 schema:alternateName Ca Foscari University of Venice
135 schema:name Department of Environmental Sciences, Informatics and Statistics, University Ca’ Foscari of Venice, Venice, Italy
136 GreenDecision Srl, Venice, Italy
137 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...