Dynamic Emergency Response Management for Large Scale Decision Making in Extreme Hazardous Events View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2010-10-29

AUTHORS

Murray Turoff , Connie White , Linda Plotnick

ABSTRACT

This chapter begins by discussing the nature of large groups and ­subgroups of crisis experts who are involved in the decision-making process ­during a disaster. This is followed by an examination of how to best support these efforts. Subsequently, we describe design problems inherent in emergency decision ­support systems, the genesis of such issues, and how to overcome them. In ­particular, this chapter describes the impact of the threat rigidity syndrome and information ­overload and how to mitigate their effects. We describe current research efforts to promote effective decision making. Characteristics of High Reliability Organisations (HROs) enable their effective response by utilising a set of practices to manage low probability/high consequence events, focusing on the best feasible solutions using the concept of “muddling through” (Weick and Sutcliffe 2001, 2007; Lindbolm 1959). Finally, we provide concluding observations in which we reiterate some of the most critical tactics needed to promote effective decision making by large groups responding to and recovering from a disaster or catastrophic event. More... »

PAGES

181-202

References to SciGraph publications

  • 2009. The Future of Professional Communities of Practice in DESIGNING E-BUSINESS SYSTEMS. MARKETS, SERVICES, AND NETWORKS
  • 1973-06. Dilemmas in a general theory of planning in POLICY SCIENCES
  • Book

    TITLE

    Supporting Real Time Decision-Making

    ISBN

    978-1-4419-7405-1
    978-1-4419-7406-8

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-1-4419-7406-8_9

    DOI

    http://dx.doi.org/10.1007/978-1-4419-7406-8_9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1028219597


    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/2008/0806", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information Systems", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "New Jersey Institute of Technology", 
              "id": "https://www.grid.ac/institutes/grid.260896.3", 
              "name": [
                "New Jersey Institute of Technology, Newark, New Jersey, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Turoff", 
            "givenName": "Murray", 
            "id": "sg:person.013645375313.84", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013645375313.84"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Jacksonville State University", 
              "id": "https://www.grid.ac/institutes/grid.257992.2", 
              "name": [
                "Jacksonville State University, Jacksonville, Alabama, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "White", 
            "givenName": "Connie", 
            "id": "sg:person.010174206255.61", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010174206255.61"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Jacksonville State University", 
              "id": "https://www.grid.ac/institutes/grid.257992.2", 
              "name": [
                "Jacksonville State University, Jacksonville, Alabama, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Plotnick", 
            "givenName": "Linda", 
            "id": "sg:person.016036533423.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016036533423.42"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-3-642-01256-3_13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004993628", 
              "https://doi.org/10.1007/978-3-642-01256-3_13"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1207/s15327566ijce0302_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008088718"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4018/jiscrm.2009010102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009700109"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/973677", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016713822"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1226736.1226762", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023724336"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/505248.505265", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035143914"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1226736.1226761", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037856719"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/976178", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041444410"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/3894.3895", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045151956"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4018/jiscrm.2009010101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050365117"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1540-6210.2007.00867.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050951232"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1037/h0065439", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052209284"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01405730", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053280737", 
              "https://doi.org/10.1007/bf01405730"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1504/ijem.2003.003297", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067449769"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1504/ijem.2010.033653", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067449932"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/2392337", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069907901"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5860/choice.40-1619", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1073383200"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3233/isu-2008-0588", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091514810"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/hicss.2002.993863", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094235571"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/hicss.2008.232", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095265368"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/3250951", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1102515145"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2010-10-29", 
        "datePublishedReg": "2010-10-29", 
        "description": "This chapter begins by discussing the nature of large groups and \u00adsubgroups of crisis experts who are involved in the decision-making process \u00adduring a disaster. This is followed by an examination of how to best support these efforts. Subsequently, we describe design problems inherent in emergency decision \u00adsupport systems, the genesis of such issues, and how to overcome them. In \u00adparticular, this chapter describes the impact of the threat rigidity syndrome and information \u00adoverload and how to mitigate their effects. We describe current research efforts to promote effective decision making. Characteristics of High Reliability Organisations (HROs) enable their effective response by utilising a set of practices to manage low probability/high consequence events, focusing on the best feasible solutions using the concept of \u201cmuddling through\u201d (Weick and Sutcliffe 2001, 2007; Lindbolm 1959). Finally, we provide concluding observations in which we reiterate some of the most critical tactics needed to promote effective decision making by large groups responding to and recovering from a disaster or catastrophic event.", 
        "editor": [
          {
            "familyName": "Burstein", 
            "givenName": "Frada", 
            "type": "Person"
          }, 
          {
            "familyName": "Br\u00e9zillon", 
            "givenName": "Patrick", 
            "type": "Person"
          }, 
          {
            "familyName": "Zaslavsky", 
            "givenName": "Arkady", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-1-4419-7406-8_9", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-1-4419-7405-1", 
            "978-1-4419-7406-8"
          ], 
          "name": "Supporting Real Time Decision-Making", 
          "type": "Book"
        }, 
        "name": "Dynamic Emergency Response Management for Large Scale Decision Making in Extreme Hazardous Events", 
        "pagination": "181-202", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1028219597"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-1-4419-7406-8_9"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "866e70d42922367ff605b18db0e674b12698c2c44401a23d33fb5c957ad37738"
            ]
          }
        ], 
        "publisher": {
          "location": "Boston, MA", 
          "name": "Springer US", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-1-4419-7406-8_9", 
          "https://app.dimensions.ai/details/publication/pub.1028219597"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-16T08:33", 
        "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/v90/0000000364_0000000364/records_72869_00000000.jsonl", 
        "type": "Chapter", 
        "url": "https://link.springer.com/10.1007%2F978-1-4419-7406-8_9"
      }
    ]
     

    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.10.1007/978-1-4419-7406-8_9'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4419-7406-8_9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4419-7406-8_9'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4419-7406-8_9'


     

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

    157 TRIPLES      23 PREDICATES      47 URIs      19 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-1-4419-7406-8_9 schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author N5f75ebe84ab24ad9b21b8ad080b0414d
    4 schema:citation sg:pub.10.1007/978-3-642-01256-3_13
    5 sg:pub.10.1007/bf01405730
    6 https://doi.org/10.1037/h0065439
    7 https://doi.org/10.1109/hicss.2002.993863
    8 https://doi.org/10.1109/hicss.2008.232
    9 https://doi.org/10.1111/j.1540-6210.2007.00867.x
    10 https://doi.org/10.1145/1226736.1226761
    11 https://doi.org/10.1145/1226736.1226762
    12 https://doi.org/10.1145/3894.3895
    13 https://doi.org/10.1145/505248.505265
    14 https://doi.org/10.1207/s15327566ijce0302_2
    15 https://doi.org/10.1504/ijem.2003.003297
    16 https://doi.org/10.1504/ijem.2010.033653
    17 https://doi.org/10.2307/2392337
    18 https://doi.org/10.2307/3250951
    19 https://doi.org/10.2307/973677
    20 https://doi.org/10.2307/976178
    21 https://doi.org/10.3233/isu-2008-0588
    22 https://doi.org/10.4018/jiscrm.2009010101
    23 https://doi.org/10.4018/jiscrm.2009010102
    24 https://doi.org/10.5860/choice.40-1619
    25 schema:datePublished 2010-10-29
    26 schema:datePublishedReg 2010-10-29
    27 schema:description This chapter begins by discussing the nature of large groups and ­subgroups of crisis experts who are involved in the decision-making process ­during a disaster. This is followed by an examination of how to best support these efforts. Subsequently, we describe design problems inherent in emergency decision ­support systems, the genesis of such issues, and how to overcome them. In ­particular, this chapter describes the impact of the threat rigidity syndrome and information ­overload and how to mitigate their effects. We describe current research efforts to promote effective decision making. Characteristics of High Reliability Organisations (HROs) enable their effective response by utilising a set of practices to manage low probability/high consequence events, focusing on the best feasible solutions using the concept of “muddling through” (Weick and Sutcliffe 2001, 2007; Lindbolm 1959). Finally, we provide concluding observations in which we reiterate some of the most critical tactics needed to promote effective decision making by large groups responding to and recovering from a disaster or catastrophic event.
    28 schema:editor N5f889d56254e415684ea20a2af4fb23e
    29 schema:genre chapter
    30 schema:inLanguage en
    31 schema:isAccessibleForFree false
    32 schema:isPartOf N3fad804ea02949dc852d557dc4b97388
    33 schema:name Dynamic Emergency Response Management for Large Scale Decision Making in Extreme Hazardous Events
    34 schema:pagination 181-202
    35 schema:productId N0a0794c8d71a42d0b3fea079a0671c0f
    36 N0a67b7a9ae0843169036b163c9be8884
    37 Ne4737477a21d4321b1999218e3028f95
    38 schema:publisher N85db5536627b4728b3c16b7934521449
    39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028219597
    40 https://doi.org/10.1007/978-1-4419-7406-8_9
    41 schema:sdDatePublished 2019-04-16T08:33
    42 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    43 schema:sdPublisher Nc4578da879e24220b79fbb7536fcc0c2
    44 schema:url https://link.springer.com/10.1007%2F978-1-4419-7406-8_9
    45 sgo:license sg:explorer/license/
    46 sgo:sdDataset chapters
    47 rdf:type schema:Chapter
    48 N0a0794c8d71a42d0b3fea079a0671c0f schema:name doi
    49 schema:value 10.1007/978-1-4419-7406-8_9
    50 rdf:type schema:PropertyValue
    51 N0a67b7a9ae0843169036b163c9be8884 schema:name dimensions_id
    52 schema:value pub.1028219597
    53 rdf:type schema:PropertyValue
    54 N1a996c57b25d46e8ba45553d9aea4db5 rdf:first sg:person.010174206255.61
    55 rdf:rest N6010156507ee4251923f97630e5d8826
    56 N3fad804ea02949dc852d557dc4b97388 schema:isbn 978-1-4419-7405-1
    57 978-1-4419-7406-8
    58 schema:name Supporting Real Time Decision-Making
    59 rdf:type schema:Book
    60 N583c6a0eae9e47feabfe25752e38c0c8 rdf:first N9f6400e7e0be451bb557473f7681e4db
    61 rdf:rest rdf:nil
    62 N5f75ebe84ab24ad9b21b8ad080b0414d rdf:first sg:person.013645375313.84
    63 rdf:rest N1a996c57b25d46e8ba45553d9aea4db5
    64 N5f889d56254e415684ea20a2af4fb23e rdf:first Ne777d99a15b34c069746f2ac57b0eae9
    65 rdf:rest Na05715a4c8044833bbc7ef0ed9a98a3a
    66 N6010156507ee4251923f97630e5d8826 rdf:first sg:person.016036533423.42
    67 rdf:rest rdf:nil
    68 N85db5536627b4728b3c16b7934521449 schema:location Boston, MA
    69 schema:name Springer US
    70 rdf:type schema:Organisation
    71 N9f6400e7e0be451bb557473f7681e4db schema:familyName Zaslavsky
    72 schema:givenName Arkady
    73 rdf:type schema:Person
    74 Na05715a4c8044833bbc7ef0ed9a98a3a rdf:first Nb79eb7d96d2a4a3d936f9e7f94f43f40
    75 rdf:rest N583c6a0eae9e47feabfe25752e38c0c8
    76 Nb79eb7d96d2a4a3d936f9e7f94f43f40 schema:familyName Brézillon
    77 schema:givenName Patrick
    78 rdf:type schema:Person
    79 Nc4578da879e24220b79fbb7536fcc0c2 schema:name Springer Nature - SN SciGraph project
    80 rdf:type schema:Organization
    81 Ne4737477a21d4321b1999218e3028f95 schema:name readcube_id
    82 schema:value 866e70d42922367ff605b18db0e674b12698c2c44401a23d33fb5c957ad37738
    83 rdf:type schema:PropertyValue
    84 Ne777d99a15b34c069746f2ac57b0eae9 schema:familyName Burstein
    85 schema:givenName Frada
    86 rdf:type schema:Person
    87 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    88 schema:name Information and Computing Sciences
    89 rdf:type schema:DefinedTerm
    90 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    91 schema:name Information Systems
    92 rdf:type schema:DefinedTerm
    93 sg:person.010174206255.61 schema:affiliation https://www.grid.ac/institutes/grid.257992.2
    94 schema:familyName White
    95 schema:givenName Connie
    96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010174206255.61
    97 rdf:type schema:Person
    98 sg:person.013645375313.84 schema:affiliation https://www.grid.ac/institutes/grid.260896.3
    99 schema:familyName Turoff
    100 schema:givenName Murray
    101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013645375313.84
    102 rdf:type schema:Person
    103 sg:person.016036533423.42 schema:affiliation https://www.grid.ac/institutes/grid.257992.2
    104 schema:familyName Plotnick
    105 schema:givenName Linda
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016036533423.42
    107 rdf:type schema:Person
    108 sg:pub.10.1007/978-3-642-01256-3_13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004993628
    109 https://doi.org/10.1007/978-3-642-01256-3_13
    110 rdf:type schema:CreativeWork
    111 sg:pub.10.1007/bf01405730 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053280737
    112 https://doi.org/10.1007/bf01405730
    113 rdf:type schema:CreativeWork
    114 https://doi.org/10.1037/h0065439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052209284
    115 rdf:type schema:CreativeWork
    116 https://doi.org/10.1109/hicss.2002.993863 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094235571
    117 rdf:type schema:CreativeWork
    118 https://doi.org/10.1109/hicss.2008.232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095265368
    119 rdf:type schema:CreativeWork
    120 https://doi.org/10.1111/j.1540-6210.2007.00867.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050951232
    121 rdf:type schema:CreativeWork
    122 https://doi.org/10.1145/1226736.1226761 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037856719
    123 rdf:type schema:CreativeWork
    124 https://doi.org/10.1145/1226736.1226762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023724336
    125 rdf:type schema:CreativeWork
    126 https://doi.org/10.1145/3894.3895 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045151956
    127 rdf:type schema:CreativeWork
    128 https://doi.org/10.1145/505248.505265 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035143914
    129 rdf:type schema:CreativeWork
    130 https://doi.org/10.1207/s15327566ijce0302_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008088718
    131 rdf:type schema:CreativeWork
    132 https://doi.org/10.1504/ijem.2003.003297 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067449769
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1504/ijem.2010.033653 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067449932
    135 rdf:type schema:CreativeWork
    136 https://doi.org/10.2307/2392337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069907901
    137 rdf:type schema:CreativeWork
    138 https://doi.org/10.2307/3250951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102515145
    139 rdf:type schema:CreativeWork
    140 https://doi.org/10.2307/973677 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016713822
    141 rdf:type schema:CreativeWork
    142 https://doi.org/10.2307/976178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041444410
    143 rdf:type schema:CreativeWork
    144 https://doi.org/10.3233/isu-2008-0588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091514810
    145 rdf:type schema:CreativeWork
    146 https://doi.org/10.4018/jiscrm.2009010101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050365117
    147 rdf:type schema:CreativeWork
    148 https://doi.org/10.4018/jiscrm.2009010102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009700109
    149 rdf:type schema:CreativeWork
    150 https://doi.org/10.5860/choice.40-1619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073383200
    151 rdf:type schema:CreativeWork
    152 https://www.grid.ac/institutes/grid.257992.2 schema:alternateName Jacksonville State University
    153 schema:name Jacksonville State University, Jacksonville, Alabama, USA
    154 rdf:type schema:Organization
    155 https://www.grid.ac/institutes/grid.260896.3 schema:alternateName New Jersey Institute of Technology
    156 schema:name New Jersey Institute of Technology, Newark, New Jersey, USA
    157 rdf:type schema:Organization
     




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


    ...