Academic Journal
Προβολή σε EDS

Focus on Authors.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Focus on Authors.
Πηγή: Marketing Science (INFORMS). Mar/Apr2026, Vol. 45 Issue 2, p490-492. 3p.
Θεματικοί όροι: *Marketing, *Digital platforms, *Business analytics, *Information technology, *Electronic commerce, *Online marketplaces, Peer pressure, Machine learning
Περίληψη: The document provides detailed professional profiles of multiple academics specializing in marketing, operations, and digital platform research, highlighting their institutional affiliations, educational backgrounds, and research focuses. Key topics covered by these scholars include quantitative marketing methods, peer effects in social networks, platform economics, content creation, algorithmic lending, information security, and digital marketplace dynamics. Several researchers are noted for their contributions to empirical modeling, machine learning applications, and the study of platform-mediated markets such as online healthcare, social media, and sharing economy platforms. The document serves as a resource for understanding the expertise and research interests of leading scholars engaged in the study of digital marketing, platform design, and data-driven decision-making. [Extracted from the article]
Copyright of Marketing Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Business Source Index
FullText Text:
  Availability: 0
CustomLinks:
  – Url: http://www.jstor.org/openurl?issn=07322399&date=2026&volume=45&issue=2&spage=490
    Name: JSTOR (all content) (s7799221)
    Category: fullText
    Text:
    Icon: https://imageserver.ebscohost.com/branding/jstor/iconJSTOR.gif
    MouseOverText: Full Text from JSTOR
Header DbId: bsx
DbLabel: Business Source Index
An: 192514565
RelevancyScore: 1450
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1450.35424804688
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Focus on Authors.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Marketing+Science+%28INFORMS%29%22">Marketing Science (INFORMS)</searchLink>. Mar/Apr2026, Vol. 45 Issue 2, p490-492. 3p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Marketing%22">Marketing</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+platforms%22">Digital platforms</searchLink><br />*<searchLink fieldCode="DE" term="%22Business+analytics%22">Business analytics</searchLink><br />*<searchLink fieldCode="DE" term="%22Information+technology%22">Information technology</searchLink><br />*<searchLink fieldCode="DE" term="%22Electronic+commerce%22">Electronic commerce</searchLink><br />*<searchLink fieldCode="DE" term="%22Online+marketplaces%22">Online marketplaces</searchLink><br /><searchLink fieldCode="DE" term="%22Peer+pressure%22">Peer pressure</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The document provides detailed professional profiles of multiple academics specializing in marketing, operations, and digital platform research, highlighting their institutional affiliations, educational backgrounds, and research focuses. Key topics covered by these scholars include quantitative marketing methods, peer effects in social networks, platform economics, content creation, algorithmic lending, information security, and digital marketplace dynamics. Several researchers are noted for their contributions to empirical modeling, machine learning applications, and the study of platform-mediated markets such as online healthcare, social media, and sharing economy platforms. The document serves as a resource for understanding the expertise and research interests of leading scholars engaged in the study of digital marketing, platform design, and data-driven decision-making. [Extracted from the article]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Marketing Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsx&AN=192514565
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1287/mksc.2026.focusonaus.v45.n2
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 3
        StartPage: 490
    Subjects:
      – SubjectFull: Marketing
        Type: general
      – SubjectFull: Digital platforms
        Type: general
      – SubjectFull: Business analytics
        Type: general
      – SubjectFull: Information technology
        Type: general
      – SubjectFull: Electronic commerce
        Type: general
      – SubjectFull: Online marketplaces
        Type: general
      – SubjectFull: Peer pressure
        Type: general
      – SubjectFull: Machine learning
        Type: general
    Titles:
      – TitleFull: Focus on Authors.
        Type: main
  BibRelationships:
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar/Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 07322399
          Numbering:
            – Type: volume
              Value: 45
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Marketing Science (INFORMS)
              Type: main
ResultId 1