An empirical analysis of experienced reviewers in online communities: what, how, and why to review
Abstract Online consumer reviews significantly impact market performance as potential customers rely heavily on these reviews for consumer decision making. Accordingly, experienced online reviewers, or highly motivated reviewers who account for the largest attribution of reviews, are proposed to be...
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| Autor*in: |
Choi, Hoon S. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© Institute of Applied Informatics at University of Leipzig 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Electronic markets - Berlin : Springer, 1991, 32(2021), 3 vom: 09. Okt., Seite 1293-1310 |
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| Übergeordnetes Werk: |
volume:32 ; year:2021 ; number:3 ; day:09 ; month:10 ; pages:1293-1310 |
| Links: |
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| DOI / URN: |
10.1007/s12525-021-00499-8 |
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| Katalog-ID: |
SPR048646881 |
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| 520 | |a Abstract Online consumer reviews significantly impact market performance as potential customers rely heavily on these reviews for consumer decision making. Accordingly, experienced online reviewers, or highly motivated reviewers who account for the largest attribution of reviews, are proposed to be an important part of the online reviewing ecosystem. This research examines experienced reviewers in the online communities. Using empirical data, this study found that experienced reviewers tend to behave as experts with the aim to achieve a common good with rating and selection attributes similar to critics. Hence, results showed that experienced reviewers leave lower ratings, have less extremity in their ratings, prefer sophisticated products but do not prefer popular products. The female experienced reviewers are less generous than novice female reviewers and their generosity decreases more dramatically than males in the rating propensity as they become experienced reviewers. | ||
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10.1007/s12525-021-00499-8 doi (DE-627)SPR048646881 (SPR)s12525-021-00499-8-e DE-627 ger DE-627 rakwb eng Choi, Hoon S. verfasserin (orcid)0000-0002-0287-206X aut An empirical analysis of experienced reviewers in online communities: what, how, and why to review 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Institute of Applied Informatics at University of Leipzig 2021 Abstract Online consumer reviews significantly impact market performance as potential customers rely heavily on these reviews for consumer decision making. Accordingly, experienced online reviewers, or highly motivated reviewers who account for the largest attribution of reviews, are proposed to be an important part of the online reviewing ecosystem. This research examines experienced reviewers in the online communities. Using empirical data, this study found that experienced reviewers tend to behave as experts with the aim to achieve a common good with rating and selection attributes similar to critics. Hence, results showed that experienced reviewers leave lower ratings, have less extremity in their ratings, prefer sophisticated products but do not prefer popular products. The female experienced reviewers are less generous than novice female reviewers and their generosity decreases more dramatically than males in the rating propensity as they become experienced reviewers. Online review (dpeaa)DE-He213 Experienced reviewer (dpeaa)DE-He213 Female reviewer (dpeaa)DE-He213 Expert reviewer (dpeaa)DE-He213 Online review community (dpeaa)DE-He213 Yahoo! Movie (dpeaa)DE-He213 Maasberg, Michele aut Enthalten in Electronic markets Berlin : Springer, 1991 32(2021), 3 vom: 09. Okt., Seite 1293-1310 (DE-627)320578747 (DE-600)2017342-8 1422-8890 nnns volume:32 year:2021 number:3 day:09 month:10 pages:1293-1310 https://dx.doi.org/10.1007/s12525-021-00499-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2021 3 09 10 1293-1310 |
| spelling |
10.1007/s12525-021-00499-8 doi (DE-627)SPR048646881 (SPR)s12525-021-00499-8-e DE-627 ger DE-627 rakwb eng Choi, Hoon S. verfasserin (orcid)0000-0002-0287-206X aut An empirical analysis of experienced reviewers in online communities: what, how, and why to review 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Institute of Applied Informatics at University of Leipzig 2021 Abstract Online consumer reviews significantly impact market performance as potential customers rely heavily on these reviews for consumer decision making. Accordingly, experienced online reviewers, or highly motivated reviewers who account for the largest attribution of reviews, are proposed to be an important part of the online reviewing ecosystem. This research examines experienced reviewers in the online communities. Using empirical data, this study found that experienced reviewers tend to behave as experts with the aim to achieve a common good with rating and selection attributes similar to critics. Hence, results showed that experienced reviewers leave lower ratings, have less extremity in their ratings, prefer sophisticated products but do not prefer popular products. The female experienced reviewers are less generous than novice female reviewers and their generosity decreases more dramatically than males in the rating propensity as they become experienced reviewers. Online review (dpeaa)DE-He213 Experienced reviewer (dpeaa)DE-He213 Female reviewer (dpeaa)DE-He213 Expert reviewer (dpeaa)DE-He213 Online review community (dpeaa)DE-He213 Yahoo! Movie (dpeaa)DE-He213 Maasberg, Michele aut Enthalten in Electronic markets Berlin : Springer, 1991 32(2021), 3 vom: 09. Okt., Seite 1293-1310 (DE-627)320578747 (DE-600)2017342-8 1422-8890 nnns volume:32 year:2021 number:3 day:09 month:10 pages:1293-1310 https://dx.doi.org/10.1007/s12525-021-00499-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2021 3 09 10 1293-1310 |
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10.1007/s12525-021-00499-8 doi (DE-627)SPR048646881 (SPR)s12525-021-00499-8-e DE-627 ger DE-627 rakwb eng Choi, Hoon S. verfasserin (orcid)0000-0002-0287-206X aut An empirical analysis of experienced reviewers in online communities: what, how, and why to review 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Institute of Applied Informatics at University of Leipzig 2021 Abstract Online consumer reviews significantly impact market performance as potential customers rely heavily on these reviews for consumer decision making. Accordingly, experienced online reviewers, or highly motivated reviewers who account for the largest attribution of reviews, are proposed to be an important part of the online reviewing ecosystem. This research examines experienced reviewers in the online communities. Using empirical data, this study found that experienced reviewers tend to behave as experts with the aim to achieve a common good with rating and selection attributes similar to critics. Hence, results showed that experienced reviewers leave lower ratings, have less extremity in their ratings, prefer sophisticated products but do not prefer popular products. The female experienced reviewers are less generous than novice female reviewers and their generosity decreases more dramatically than males in the rating propensity as they become experienced reviewers. Online review (dpeaa)DE-He213 Experienced reviewer (dpeaa)DE-He213 Female reviewer (dpeaa)DE-He213 Expert reviewer (dpeaa)DE-He213 Online review community (dpeaa)DE-He213 Yahoo! Movie (dpeaa)DE-He213 Maasberg, Michele aut Enthalten in Electronic markets Berlin : Springer, 1991 32(2021), 3 vom: 09. Okt., Seite 1293-1310 (DE-627)320578747 (DE-600)2017342-8 1422-8890 nnns volume:32 year:2021 number:3 day:09 month:10 pages:1293-1310 https://dx.doi.org/10.1007/s12525-021-00499-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2021 3 09 10 1293-1310 |
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An empirical analysis of experienced reviewers in online communities: what, how, and why to review |
| abstract |
Abstract Online consumer reviews significantly impact market performance as potential customers rely heavily on these reviews for consumer decision making. Accordingly, experienced online reviewers, or highly motivated reviewers who account for the largest attribution of reviews, are proposed to be an important part of the online reviewing ecosystem. This research examines experienced reviewers in the online communities. Using empirical data, this study found that experienced reviewers tend to behave as experts with the aim to achieve a common good with rating and selection attributes similar to critics. Hence, results showed that experienced reviewers leave lower ratings, have less extremity in their ratings, prefer sophisticated products but do not prefer popular products. The female experienced reviewers are less generous than novice female reviewers and their generosity decreases more dramatically than males in the rating propensity as they become experienced reviewers. © Institute of Applied Informatics at University of Leipzig 2021 |
| abstractGer |
Abstract Online consumer reviews significantly impact market performance as potential customers rely heavily on these reviews for consumer decision making. Accordingly, experienced online reviewers, or highly motivated reviewers who account for the largest attribution of reviews, are proposed to be an important part of the online reviewing ecosystem. This research examines experienced reviewers in the online communities. Using empirical data, this study found that experienced reviewers tend to behave as experts with the aim to achieve a common good with rating and selection attributes similar to critics. Hence, results showed that experienced reviewers leave lower ratings, have less extremity in their ratings, prefer sophisticated products but do not prefer popular products. The female experienced reviewers are less generous than novice female reviewers and their generosity decreases more dramatically than males in the rating propensity as they become experienced reviewers. © Institute of Applied Informatics at University of Leipzig 2021 |
| abstract_unstemmed |
Abstract Online consumer reviews significantly impact market performance as potential customers rely heavily on these reviews for consumer decision making. Accordingly, experienced online reviewers, or highly motivated reviewers who account for the largest attribution of reviews, are proposed to be an important part of the online reviewing ecosystem. This research examines experienced reviewers in the online communities. Using empirical data, this study found that experienced reviewers tend to behave as experts with the aim to achieve a common good with rating and selection attributes similar to critics. Hence, results showed that experienced reviewers leave lower ratings, have less extremity in their ratings, prefer sophisticated products but do not prefer popular products. The female experienced reviewers are less generous than novice female reviewers and their generosity decreases more dramatically than males in the rating propensity as they become experienced reviewers. © Institute of Applied Informatics at University of Leipzig 2021 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR048646881</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230509120250.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">221117s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12525-021-00499-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR048646881</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12525-021-00499-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Choi, Hoon S.</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-0287-206X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="3"><subfield code="a">An empirical analysis of experienced reviewers in online communities: what, how, and why to review</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Institute of Applied Informatics at University of Leipzig 2021</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Online consumer reviews significantly impact market performance as potential customers rely heavily on these reviews for consumer decision making. 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