How do firms make money selling digital goods online? View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-09

AUTHORS

Anja Lambrecht, Avi Goldfarb, Alessandro Bonatti, Anindya Ghose, Daniel G. Goldstein, Randall Lewis, Anita Rao, Navdeep Sahni, Song Yao

ABSTRACT

We review research on revenue models used by online firms who offer digital goods. Such goods are non-rival, have near zero marginal cost of production and distribution, low marginal cost of consumer search, and low transaction costs. Additionally, firms can easily observe and measure consumer behavior. We start by asking what consumers can offer in exchange for digital goods. We suggest that consumers can offer their money, personal information, or time. Firms, in turn, can generate revenue by selling digital content, brokering consumer information, or showing advertising. We discuss the firm’s trade-off in choosing between the different revenue streams, such as offering paid content or free content while relying on advertising revenues. We then turn to specific challenges firms face when choosing a revenue model based on either content, information, or advertising. Additionally, we discuss nascent revenue models that combine different revenue streams such as crowdfunding (content and information) or blogs (information and advertising). We conclude with a discussion of opportunities for future research including implications for firms’ revenue models from the increasing importance of the mobile Internet. More... »

PAGES

331-341

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11002-014-9310-5

DOI

http://dx.doi.org/10.1007/s11002-014-9310-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1053584108


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/2008/1402", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Economics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/14", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Economics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "London Business School", 
          "id": "https://www.grid.ac/institutes/grid.14868.33", 
          "name": [
            "London Business School, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lambrecht", 
        "givenName": "Anja", 
        "id": "sg:person.011247170242.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011247170242.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Toronto", 
          "id": "https://www.grid.ac/institutes/grid.17063.33", 
          "name": [
            "University of Toronto, Toronto, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goldfarb", 
        "givenName": "Avi", 
        "id": "sg:person.0636245456.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0636245456.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Massachusetts Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.116068.8", 
          "name": [
            "Massachusetts Institute of Technology, Cambridge, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bonatti", 
        "givenName": "Alessandro", 
        "id": "sg:person.010752327247.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010752327247.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "New York University", 
          "id": "https://www.grid.ac/institutes/grid.137628.9", 
          "name": [
            "New York University, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ghose", 
        "givenName": "Anindya", 
        "id": "sg:person.012214053450.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012214053450.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Microsoft Research, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goldstein", 
        "givenName": "Daniel G.", 
        "id": "sg:person.0723527727.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723527727.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Google (United States)", 
          "id": "https://www.grid.ac/institutes/grid.420451.6", 
          "name": [
            "Google, Mountain View, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lewis", 
        "givenName": "Randall", 
        "id": "sg:person.016234477654.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016234477654.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Chicago", 
          "id": "https://www.grid.ac/institutes/grid.170205.1", 
          "name": [
            "University of Chicago, Chicago, IL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rao", 
        "givenName": "Anita", 
        "id": "sg:person.016574716450.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016574716450.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Stanford University", 
          "id": "https://www.grid.ac/institutes/grid.168010.e", 
          "name": [
            "Stanford University, Stanford, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sahni", 
        "givenName": "Navdeep", 
        "id": "sg:person.012622102576.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012622102576.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Northwestern University", 
          "id": "https://www.grid.ac/institutes/grid.16753.36", 
          "name": [
            "Northwestern University, Evanston, IL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yao", 
        "givenName": "Song", 
        "id": "sg:person.012262166650.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012262166650.54"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.infoecopol.2013.03.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002346927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11129-013-9135-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004768365", 
          "https://doi.org/10.1007/s11129-013-9135-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-8116(02)00119-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009756471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1963405.1963431", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010980561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1807342.1807390", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015954319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/2229012.2229059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016445221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1048-4736(04)01507-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026777783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1993574.1993584", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029057101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/2488388.2488429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033876536"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.infoecopol.2010.02.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039580524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1509/jmr.11.0503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040996298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1509/jmr.11.0503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040996298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1509/jmr.11.0538", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046585782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1509/jmr.11.0538", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046585782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.infoecopol.2012.01.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051080998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11129-014-9146-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052741694", 
          "https://doi.org/10.1007/s11129-014-9146-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/209517", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058529101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/511995", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058788218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/656423", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058844028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/674021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058856511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/isre.1120.0453", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064711603"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/isre.1120.0468", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064711618"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mksc.1030.0052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064712557"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mksc.1070.0283", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064712782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mksc.1070.0351", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064712850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mksc.1080.0390", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064712888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mksc.1110.0700", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064713201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mksc.16.1.24", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064713384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mksc.19.3.203.11801", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064713483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mnsc.1100.1246", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064715395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mnsc.1110.1459", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064715605"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mnsc.2014.1945", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064717681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1183273", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069392749"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2139/ssrn.2049457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102338344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2139/ssrn.2130646", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102357836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2139/ssrn.2180851", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102364108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2139/ssrn.2307961", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102384016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2139/ssrn.2349692", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102392352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2139/ssrn.2367103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102395362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1596/1813-9450-6491", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109734130"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-09", 
    "datePublishedReg": "2014-09-01", 
    "description": "We review research on revenue models used by online firms who offer digital goods. Such goods are non-rival, have near zero marginal cost of production and distribution, low marginal cost of consumer search, and low transaction costs. Additionally, firms can easily observe and measure consumer behavior. We start by asking what consumers can offer in exchange for digital goods. We suggest that consumers can offer their money, personal information, or time. Firms, in turn, can generate revenue by selling digital content, brokering consumer information, or showing advertising. We discuss the firm\u2019s trade-off in choosing between the different revenue streams, such as offering paid content or free content while relying on advertising revenues. We then turn to specific challenges firms face when choosing a revenue model based on either content, information, or advertising. Additionally, we discuss nascent revenue models that combine different revenue streams such as crowdfunding (content and information) or blogs (information and advertising). We conclude with a discussion of opportunities for future research including implications for firms\u2019 revenue models from the increasing importance of the mobile Internet.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11002-014-9310-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1044599", 
        "issn": [
          "0923-0645", 
          "1573-059X"
        ], 
        "name": "Marketing Letters", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "25"
      }
    ], 
    "name": "How do firms make money selling digital goods online?", 
    "pagination": "331-341", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ff3a7a8db2a936393f5cff462eb4eed84b640e0ac695a3f7abe17b05970eb589"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11002-014-9310-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1053584108"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11002-014-9310-5", 
      "https://app.dimensions.ai/details/publication/pub.1053584108"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:37", 
    "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/v90/0000000349_0000000349/records_113673_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11002-014-9310-5"
  }
]
 

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/s11002-014-9310-5'

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/s11002-014-9310-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11002-014-9310-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11002-014-9310-5'


 

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

256 TRIPLES      21 PREDICATES      65 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11002-014-9310-5 schema:about anzsrc-for:14
2 anzsrc-for:1402
3 schema:author N25ee6cdf31c745e1bb16380ed77c31c9
4 schema:citation sg:pub.10.1007/s11129-013-9135-1
5 sg:pub.10.1007/s11129-014-9146-6
6 https://doi.org/10.1016/j.infoecopol.2010.02.002
7 https://doi.org/10.1016/j.infoecopol.2012.01.007
8 https://doi.org/10.1016/j.infoecopol.2013.03.001
9 https://doi.org/10.1016/s0167-8116(02)00119-2
10 https://doi.org/10.1016/s1048-4736(04)01507-3
11 https://doi.org/10.1086/209517
12 https://doi.org/10.1086/511995
13 https://doi.org/10.1086/656423
14 https://doi.org/10.1086/674021
15 https://doi.org/10.1145/1807342.1807390
16 https://doi.org/10.1145/1963405.1963431
17 https://doi.org/10.1145/1993574.1993584
18 https://doi.org/10.1145/2229012.2229059
19 https://doi.org/10.1145/2488388.2488429
20 https://doi.org/10.1287/isre.1120.0453
21 https://doi.org/10.1287/isre.1120.0468
22 https://doi.org/10.1287/mksc.1030.0052
23 https://doi.org/10.1287/mksc.1070.0283
24 https://doi.org/10.1287/mksc.1070.0351
25 https://doi.org/10.1287/mksc.1080.0390
26 https://doi.org/10.1287/mksc.1110.0700
27 https://doi.org/10.1287/mksc.16.1.24
28 https://doi.org/10.1287/mksc.19.3.203.11801
29 https://doi.org/10.1287/mnsc.1100.1246
30 https://doi.org/10.1287/mnsc.1110.1459
31 https://doi.org/10.1287/mnsc.2014.1945
32 https://doi.org/10.1509/jmr.11.0503
33 https://doi.org/10.1509/jmr.11.0538
34 https://doi.org/10.1596/1813-9450-6491
35 https://doi.org/10.2139/ssrn.2049457
36 https://doi.org/10.2139/ssrn.2130646
37 https://doi.org/10.2139/ssrn.2180851
38 https://doi.org/10.2139/ssrn.2307961
39 https://doi.org/10.2139/ssrn.2349692
40 https://doi.org/10.2139/ssrn.2367103
41 https://doi.org/10.2307/1183273
42 schema:datePublished 2014-09
43 schema:datePublishedReg 2014-09-01
44 schema:description We review research on revenue models used by online firms who offer digital goods. Such goods are non-rival, have near zero marginal cost of production and distribution, low marginal cost of consumer search, and low transaction costs. Additionally, firms can easily observe and measure consumer behavior. We start by asking what consumers can offer in exchange for digital goods. We suggest that consumers can offer their money, personal information, or time. Firms, in turn, can generate revenue by selling digital content, brokering consumer information, or showing advertising. We discuss the firm’s trade-off in choosing between the different revenue streams, such as offering paid content or free content while relying on advertising revenues. We then turn to specific challenges firms face when choosing a revenue model based on either content, information, or advertising. Additionally, we discuss nascent revenue models that combine different revenue streams such as crowdfunding (content and information) or blogs (information and advertising). We conclude with a discussion of opportunities for future research including implications for firms’ revenue models from the increasing importance of the mobile Internet.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree true
48 schema:isPartOf Naa7c8f9cbbb643539472e1fe574058fe
49 Nfb539d8ddc4a4cdb949becac7c136294
50 sg:journal.1044599
51 schema:name How do firms make money selling digital goods online?
52 schema:pagination 331-341
53 schema:productId N0fb27ba049b243b9b39d9384f3c6d969
54 N28221ae2eb5e44038d9ac8dcf443cc93
55 N6c64ff7bbcb744b58a409e9bf00a4d7c
56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053584108
57 https://doi.org/10.1007/s11002-014-9310-5
58 schema:sdDatePublished 2019-04-11T10:37
59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
60 schema:sdPublisher N833c48a9b4e34f33b0aa9eef3327fef5
61 schema:url https://link.springer.com/10.1007%2Fs11002-014-9310-5
62 sgo:license sg:explorer/license/
63 sgo:sdDataset articles
64 rdf:type schema:ScholarlyArticle
65 N0fb27ba049b243b9b39d9384f3c6d969 schema:name dimensions_id
66 schema:value pub.1053584108
67 rdf:type schema:PropertyValue
68 N1473857c19bf43d48f4172a5c6928202 rdf:first sg:person.0723527727.83
69 rdf:rest N273b5e918a13488da2f9cf76da3cf16e
70 N25ee6cdf31c745e1bb16380ed77c31c9 rdf:first sg:person.011247170242.78
71 rdf:rest N5e1f8bf4bdc74869aa7a44a148955759
72 N273b5e918a13488da2f9cf76da3cf16e rdf:first sg:person.016234477654.36
73 rdf:rest N8c4bf70defad44c3a447296060bf98e1
74 N28221ae2eb5e44038d9ac8dcf443cc93 schema:name doi
75 schema:value 10.1007/s11002-014-9310-5
76 rdf:type schema:PropertyValue
77 N3c33526eca3a41cd832d2d38ee2b00bd rdf:first sg:person.012214053450.64
78 rdf:rest N1473857c19bf43d48f4172a5c6928202
79 N5e1f8bf4bdc74869aa7a44a148955759 rdf:first sg:person.0636245456.94
80 rdf:rest Ndc9b7e838fb142cb929c2751bdb5433d
81 N6c64ff7bbcb744b58a409e9bf00a4d7c schema:name readcube_id
82 schema:value ff3a7a8db2a936393f5cff462eb4eed84b640e0ac695a3f7abe17b05970eb589
83 rdf:type schema:PropertyValue
84 N76a006b8bd6f41818e35652818f547f8 rdf:first sg:person.012622102576.24
85 rdf:rest Na28d4b931a9b49529ccd4dd1c8003b07
86 N833c48a9b4e34f33b0aa9eef3327fef5 schema:name Springer Nature - SN SciGraph project
87 rdf:type schema:Organization
88 N8c4bf70defad44c3a447296060bf98e1 rdf:first sg:person.016574716450.97
89 rdf:rest N76a006b8bd6f41818e35652818f547f8
90 Na28d4b931a9b49529ccd4dd1c8003b07 rdf:first sg:person.012262166650.54
91 rdf:rest rdf:nil
92 Naa7c8f9cbbb643539472e1fe574058fe schema:issueNumber 3
93 rdf:type schema:PublicationIssue
94 Nd7c1d9e78dc44888989464ab26ed6e02 schema:name Microsoft Research, New York, NY, USA
95 rdf:type schema:Organization
96 Ndc9b7e838fb142cb929c2751bdb5433d rdf:first sg:person.010752327247.32
97 rdf:rest N3c33526eca3a41cd832d2d38ee2b00bd
98 Nfb539d8ddc4a4cdb949becac7c136294 schema:volumeNumber 25
99 rdf:type schema:PublicationVolume
100 anzsrc-for:14 schema:inDefinedTermSet anzsrc-for:
101 schema:name Economics
102 rdf:type schema:DefinedTerm
103 anzsrc-for:1402 schema:inDefinedTermSet anzsrc-for:
104 schema:name Applied Economics
105 rdf:type schema:DefinedTerm
106 sg:journal.1044599 schema:issn 0923-0645
107 1573-059X
108 schema:name Marketing Letters
109 rdf:type schema:Periodical
110 sg:person.010752327247.32 schema:affiliation https://www.grid.ac/institutes/grid.116068.8
111 schema:familyName Bonatti
112 schema:givenName Alessandro
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010752327247.32
114 rdf:type schema:Person
115 sg:person.011247170242.78 schema:affiliation https://www.grid.ac/institutes/grid.14868.33
116 schema:familyName Lambrecht
117 schema:givenName Anja
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011247170242.78
119 rdf:type schema:Person
120 sg:person.012214053450.64 schema:affiliation https://www.grid.ac/institutes/grid.137628.9
121 schema:familyName Ghose
122 schema:givenName Anindya
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012214053450.64
124 rdf:type schema:Person
125 sg:person.012262166650.54 schema:affiliation https://www.grid.ac/institutes/grid.16753.36
126 schema:familyName Yao
127 schema:givenName Song
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012262166650.54
129 rdf:type schema:Person
130 sg:person.012622102576.24 schema:affiliation https://www.grid.ac/institutes/grid.168010.e
131 schema:familyName Sahni
132 schema:givenName Navdeep
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012622102576.24
134 rdf:type schema:Person
135 sg:person.016234477654.36 schema:affiliation https://www.grid.ac/institutes/grid.420451.6
136 schema:familyName Lewis
137 schema:givenName Randall
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016234477654.36
139 rdf:type schema:Person
140 sg:person.016574716450.97 schema:affiliation https://www.grid.ac/institutes/grid.170205.1
141 schema:familyName Rao
142 schema:givenName Anita
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016574716450.97
144 rdf:type schema:Person
145 sg:person.0636245456.94 schema:affiliation https://www.grid.ac/institutes/grid.17063.33
146 schema:familyName Goldfarb
147 schema:givenName Avi
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0636245456.94
149 rdf:type schema:Person
150 sg:person.0723527727.83 schema:affiliation Nd7c1d9e78dc44888989464ab26ed6e02
151 schema:familyName Goldstein
152 schema:givenName Daniel G.
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723527727.83
154 rdf:type schema:Person
155 sg:pub.10.1007/s11129-013-9135-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004768365
156 https://doi.org/10.1007/s11129-013-9135-1
157 rdf:type schema:CreativeWork
158 sg:pub.10.1007/s11129-014-9146-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052741694
159 https://doi.org/10.1007/s11129-014-9146-6
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.infoecopol.2010.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039580524
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.infoecopol.2012.01.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051080998
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.infoecopol.2013.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002346927
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/s0167-8116(02)00119-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009756471
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/s1048-4736(04)01507-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026777783
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1086/209517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058529101
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1086/511995 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058788218
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1086/656423 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058844028
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1086/674021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058856511
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1145/1807342.1807390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015954319
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1145/1963405.1963431 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010980561
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1145/1993574.1993584 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029057101
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1145/2229012.2229059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016445221
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1145/2488388.2488429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033876536
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1287/isre.1120.0453 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064711603
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1287/isre.1120.0468 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064711618
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1287/mksc.1030.0052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064712557
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1287/mksc.1070.0283 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064712782
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1287/mksc.1070.0351 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064712850
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1287/mksc.1080.0390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064712888
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1287/mksc.1110.0700 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064713201
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1287/mksc.16.1.24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064713384
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1287/mksc.19.3.203.11801 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064713483
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1287/mnsc.1100.1246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064715395
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1287/mnsc.1110.1459 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064715605
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1287/mnsc.2014.1945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064717681
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1509/jmr.11.0503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040996298
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1509/jmr.11.0538 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046585782
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1596/1813-9450-6491 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109734130
218 rdf:type schema:CreativeWork
219 https://doi.org/10.2139/ssrn.2049457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102338344
220 rdf:type schema:CreativeWork
221 https://doi.org/10.2139/ssrn.2130646 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102357836
222 rdf:type schema:CreativeWork
223 https://doi.org/10.2139/ssrn.2180851 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102364108
224 rdf:type schema:CreativeWork
225 https://doi.org/10.2139/ssrn.2307961 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102384016
226 rdf:type schema:CreativeWork
227 https://doi.org/10.2139/ssrn.2349692 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102392352
228 rdf:type schema:CreativeWork
229 https://doi.org/10.2139/ssrn.2367103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102395362
230 rdf:type schema:CreativeWork
231 https://doi.org/10.2307/1183273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069392749
232 rdf:type schema:CreativeWork
233 https://www.grid.ac/institutes/grid.116068.8 schema:alternateName Massachusetts Institute of Technology
234 schema:name Massachusetts Institute of Technology, Cambridge, MA, USA
235 rdf:type schema:Organization
236 https://www.grid.ac/institutes/grid.137628.9 schema:alternateName New York University
237 schema:name New York University, New York, NY, USA
238 rdf:type schema:Organization
239 https://www.grid.ac/institutes/grid.14868.33 schema:alternateName London Business School
240 schema:name London Business School, London, UK
241 rdf:type schema:Organization
242 https://www.grid.ac/institutes/grid.16753.36 schema:alternateName Northwestern University
243 schema:name Northwestern University, Evanston, IL, USA
244 rdf:type schema:Organization
245 https://www.grid.ac/institutes/grid.168010.e schema:alternateName Stanford University
246 schema:name Stanford University, Stanford, CA, USA
247 rdf:type schema:Organization
248 https://www.grid.ac/institutes/grid.170205.1 schema:alternateName University of Chicago
249 schema:name University of Chicago, Chicago, IL, USA
250 rdf:type schema:Organization
251 https://www.grid.ac/institutes/grid.17063.33 schema:alternateName University of Toronto
252 schema:name University of Toronto, Toronto, Ontario, Canada
253 rdf:type schema:Organization
254 https://www.grid.ac/institutes/grid.420451.6 schema:alternateName Google (United States)
255 schema:name Google, Mountain View, CA, USA
256 rdf:type schema:Organization
 




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


...