Effectiveness of product recommendation framing on online retail platforms
Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify produ...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhang, Junhui [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
|---|
| Schlagwörter: |
|---|
| Umfang: |
13 |
|---|
| Übergeordnetes Werk: |
Enthalten in: RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals - Xie, Hongxian ELSEVIER, 2022, JBR, New York, NY |
|---|---|
| Übergeordnetes Werk: |
volume:153 ; year:2022 ; pages:185-197 ; extent:13 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.jbusres.2022.08.006 |
|---|
| Katalog-ID: |
ELV058956824 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV058956824 | ||
| 003 | DE-627 | ||
| 005 | 20230626051932.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 221103s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.jbusres.2022.08.006 |2 doi | |
| 028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001918.pica |
| 035 | |a (DE-627)ELV058956824 | ||
| 035 | |a (ELSEVIER)S0148-2963(22)00688-9 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 670 |q VZ |
| 084 | |a 51.00 |2 bkl | ||
| 100 | 1 | |a Zhang, Junhui |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Effectiveness of product recommendation framing on online retail platforms |
| 264 | 1 | |c 2022transfer abstract | |
| 300 | |a 13 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. | ||
| 520 | |a Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. | ||
| 650 | 7 | |a Recommendation framing |2 Elsevier | |
| 650 | 7 | |a Norm-based recommendation framing |2 Elsevier | |
| 650 | 7 | |a Recommendation size |2 Elsevier | |
| 650 | 7 | |a Online retailers |2 Elsevier | |
| 650 | 7 | |a Recommender system |2 Elsevier | |
| 700 | 1 | |a Balaji, M.S. |4 oth | |
| 700 | 1 | |a Luo, Jun |4 oth | |
| 700 | 1 | |a Jha, Subhash |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Xie, Hongxian ELSEVIER |t RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals |d 2022 |d JBR |g New York, NY |w (DE-627)ELV008600120 |
| 773 | 1 | 8 | |g volume:153 |g year:2022 |g pages:185-197 |g extent:13 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.jbusres.2022.08.006 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 936 | b | k | |a 51.00 |j Werkstoffkunde: Allgemeines |q VZ |
| 951 | |a AR | ||
| 952 | |d 153 |j 2022 |h 185-197 |g 13 | ||
| author_variant |
j z jz |
|---|---|
| matchkey_str |
zhangjunhuibalajimsluojunjhasubhash:2022----:fetvnsopouteomnainrmnool |
| hierarchy_sort_str |
2022transfer abstract |
| bklnumber |
51.00 |
| publishDate |
2022 |
| allfields |
10.1016/j.jbusres.2022.08.006 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001918.pica (DE-627)ELV058956824 (ELSEVIER)S0148-2963(22)00688-9 DE-627 ger DE-627 rakwb eng 670 VZ 51.00 bkl Zhang, Junhui verfasserin aut Effectiveness of product recommendation framing on online retail platforms 2022transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. Recommendation framing Elsevier Norm-based recommendation framing Elsevier Recommendation size Elsevier Online retailers Elsevier Recommender system Elsevier Balaji, M.S. oth Luo, Jun oth Jha, Subhash oth Enthalten in Elsevier Xie, Hongxian ELSEVIER RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals 2022 JBR New York, NY (DE-627)ELV008600120 volume:153 year:2022 pages:185-197 extent:13 https://doi.org/10.1016/j.jbusres.2022.08.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 153 2022 185-197 13 |
| spelling |
10.1016/j.jbusres.2022.08.006 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001918.pica (DE-627)ELV058956824 (ELSEVIER)S0148-2963(22)00688-9 DE-627 ger DE-627 rakwb eng 670 VZ 51.00 bkl Zhang, Junhui verfasserin aut Effectiveness of product recommendation framing on online retail platforms 2022transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. Recommendation framing Elsevier Norm-based recommendation framing Elsevier Recommendation size Elsevier Online retailers Elsevier Recommender system Elsevier Balaji, M.S. oth Luo, Jun oth Jha, Subhash oth Enthalten in Elsevier Xie, Hongxian ELSEVIER RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals 2022 JBR New York, NY (DE-627)ELV008600120 volume:153 year:2022 pages:185-197 extent:13 https://doi.org/10.1016/j.jbusres.2022.08.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 153 2022 185-197 13 |
| allfields_unstemmed |
10.1016/j.jbusres.2022.08.006 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001918.pica (DE-627)ELV058956824 (ELSEVIER)S0148-2963(22)00688-9 DE-627 ger DE-627 rakwb eng 670 VZ 51.00 bkl Zhang, Junhui verfasserin aut Effectiveness of product recommendation framing on online retail platforms 2022transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. Recommendation framing Elsevier Norm-based recommendation framing Elsevier Recommendation size Elsevier Online retailers Elsevier Recommender system Elsevier Balaji, M.S. oth Luo, Jun oth Jha, Subhash oth Enthalten in Elsevier Xie, Hongxian ELSEVIER RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals 2022 JBR New York, NY (DE-627)ELV008600120 volume:153 year:2022 pages:185-197 extent:13 https://doi.org/10.1016/j.jbusres.2022.08.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 153 2022 185-197 13 |
| allfieldsGer |
10.1016/j.jbusres.2022.08.006 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001918.pica (DE-627)ELV058956824 (ELSEVIER)S0148-2963(22)00688-9 DE-627 ger DE-627 rakwb eng 670 VZ 51.00 bkl Zhang, Junhui verfasserin aut Effectiveness of product recommendation framing on online retail platforms 2022transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. Recommendation framing Elsevier Norm-based recommendation framing Elsevier Recommendation size Elsevier Online retailers Elsevier Recommender system Elsevier Balaji, M.S. oth Luo, Jun oth Jha, Subhash oth Enthalten in Elsevier Xie, Hongxian ELSEVIER RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals 2022 JBR New York, NY (DE-627)ELV008600120 volume:153 year:2022 pages:185-197 extent:13 https://doi.org/10.1016/j.jbusres.2022.08.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 153 2022 185-197 13 |
| allfieldsSound |
10.1016/j.jbusres.2022.08.006 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001918.pica (DE-627)ELV058956824 (ELSEVIER)S0148-2963(22)00688-9 DE-627 ger DE-627 rakwb eng 670 VZ 51.00 bkl Zhang, Junhui verfasserin aut Effectiveness of product recommendation framing on online retail platforms 2022transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. Recommendation framing Elsevier Norm-based recommendation framing Elsevier Recommendation size Elsevier Online retailers Elsevier Recommender system Elsevier Balaji, M.S. oth Luo, Jun oth Jha, Subhash oth Enthalten in Elsevier Xie, Hongxian ELSEVIER RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals 2022 JBR New York, NY (DE-627)ELV008600120 volume:153 year:2022 pages:185-197 extent:13 https://doi.org/10.1016/j.jbusres.2022.08.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 153 2022 185-197 13 |
| language |
English |
| source |
Enthalten in RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals New York, NY volume:153 year:2022 pages:185-197 extent:13 |
| sourceStr |
Enthalten in RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals New York, NY volume:153 year:2022 pages:185-197 extent:13 |
| format_phy_str_mv |
Article |
| bklname |
Werkstoffkunde: Allgemeines |
| institution |
findex.gbv.de |
| topic_facet |
Recommendation framing Norm-based recommendation framing Recommendation size Online retailers Recommender system |
| dewey-raw |
670 |
| isfreeaccess_bool |
false |
| container_title |
RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals |
| authorswithroles_txt_mv |
Zhang, Junhui @@aut@@ Balaji, M.S. @@oth@@ Luo, Jun @@oth@@ Jha, Subhash @@oth@@ |
| publishDateDaySort_date |
2022-01-01T00:00:00Z |
| hierarchy_top_id |
ELV008600120 |
| dewey-sort |
3670 |
| id |
ELV058956824 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV058956824</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626051932.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">221103s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jbusres.2022.08.006</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001918.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV058956824</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0148-2963(22)00688-9</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="082" ind1="0" ind2="4"><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">51.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Junhui</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Effectiveness of product recommendation framing on online retail platforms</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">13</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Recommendation framing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Norm-based recommendation framing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Recommendation size</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Online retailers</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Recommender system</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Balaji, M.S.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Luo, Jun</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jha, Subhash</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Xie, Hongxian ELSEVIER</subfield><subfield code="t">RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals</subfield><subfield code="d">2022</subfield><subfield code="d">JBR</subfield><subfield code="g">New York, NY</subfield><subfield code="w">(DE-627)ELV008600120</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:153</subfield><subfield code="g">year:2022</subfield><subfield code="g">pages:185-197</subfield><subfield code="g">extent:13</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.jbusres.2022.08.006</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.00</subfield><subfield code="j">Werkstoffkunde: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">153</subfield><subfield code="j">2022</subfield><subfield code="h">185-197</subfield><subfield code="g">13</subfield></datafield></record></collection>
|
| author |
Zhang, Junhui |
| spellingShingle |
Zhang, Junhui ddc 670 bkl 51.00 Elsevier Recommendation framing Elsevier Norm-based recommendation framing Elsevier Recommendation size Elsevier Online retailers Elsevier Recommender system Effectiveness of product recommendation framing on online retail platforms |
| authorStr |
Zhang, Junhui |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV008600120 |
| format |
electronic Article |
| dewey-ones |
670 - Manufacturing |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
670 VZ 51.00 bkl Effectiveness of product recommendation framing on online retail platforms Recommendation framing Elsevier Norm-based recommendation framing Elsevier Recommendation size Elsevier Online retailers Elsevier Recommender system Elsevier |
| topic |
ddc 670 bkl 51.00 Elsevier Recommendation framing Elsevier Norm-based recommendation framing Elsevier Recommendation size Elsevier Online retailers Elsevier Recommender system |
| topic_unstemmed |
ddc 670 bkl 51.00 Elsevier Recommendation framing Elsevier Norm-based recommendation framing Elsevier Recommendation size Elsevier Online retailers Elsevier Recommender system |
| topic_browse |
ddc 670 bkl 51.00 Elsevier Recommendation framing Elsevier Norm-based recommendation framing Elsevier Recommendation size Elsevier Online retailers Elsevier Recommender system |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
m b mb j l jl s j sj |
| hierarchy_parent_title |
RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals |
| hierarchy_parent_id |
ELV008600120 |
| dewey-tens |
670 - Manufacturing |
| hierarchy_top_title |
RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV008600120 |
| title |
Effectiveness of product recommendation framing on online retail platforms |
| ctrlnum |
(DE-627)ELV058956824 (ELSEVIER)S0148-2963(22)00688-9 |
| title_full |
Effectiveness of product recommendation framing on online retail platforms |
| author_sort |
Zhang, Junhui |
| journal |
RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals |
| journalStr |
RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2022 |
| contenttype_str_mv |
zzz |
| container_start_page |
185 |
| author_browse |
Zhang, Junhui |
| container_volume |
153 |
| physical |
13 |
| class |
670 VZ 51.00 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Zhang, Junhui |
| doi_str_mv |
10.1016/j.jbusres.2022.08.006 |
| dewey-full |
670 |
| title_sort |
effectiveness of product recommendation framing on online retail platforms |
| title_auth |
Effectiveness of product recommendation framing on online retail platforms |
| abstract |
Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. |
| abstractGer |
Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. |
| abstract_unstemmed |
Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
| title_short |
Effectiveness of product recommendation framing on online retail platforms |
| url |
https://doi.org/10.1016/j.jbusres.2022.08.006 |
| remote_bool |
true |
| author2 |
Balaji, M.S. Luo, Jun Jha, Subhash |
| author2Str |
Balaji, M.S. Luo, Jun Jha, Subhash |
| ppnlink |
ELV008600120 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth |
| doi_str |
10.1016/j.jbusres.2022.08.006 |
| up_date |
2024-07-06T20:33:13.690Z |
| _version_ |
1803863189033582592 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV058956824</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626051932.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">221103s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jbusres.2022.08.006</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001918.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV058956824</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0148-2963(22)00688-9</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="082" ind1="0" ind2="4"><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">51.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Junhui</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Effectiveness of product recommendation framing on online retail platforms</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">13</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Online retailers often display product recommendations using recommendation framing or signage. Recommendation framing—such as customers who viewed this also viewed or compared similar items—reflects user- or product-related inputs used by the algorithmic product recommender system to identify products for a target customer. The current study examined the effectiveness of norm-based recommendation framing and comparison-based recommendation framing on customers’ click-through intention of the products recommended by online retailers. Four studies were conducted to test the proposed hypotheses. Findings revealed that norm-based recommendation framing is more effective than comparison-based recommendation framing and that the perceived value of the recommendations is the underlying mechanism engendering this result. Furthermore, we observed that the effectiveness of norm-based recommendation framing was only apparent when fewer products were recommended and when the recommended products were highly substitutable for the focal product. Theoretical and managerial implications are discussed regarding online retailers’ efforts to manage improved recommendation-framing strategies.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Recommendation framing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Norm-based recommendation framing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Recommendation size</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Online retailers</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Recommender system</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Balaji, M.S.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Luo, Jun</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jha, Subhash</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Xie, Hongxian ELSEVIER</subfield><subfield code="t">RETRACTED: Shuffling pathway of anti-twinning in body-centered-cubic metals</subfield><subfield code="d">2022</subfield><subfield code="d">JBR</subfield><subfield code="g">New York, NY</subfield><subfield code="w">(DE-627)ELV008600120</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:153</subfield><subfield code="g">year:2022</subfield><subfield code="g">pages:185-197</subfield><subfield code="g">extent:13</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.jbusres.2022.08.006</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.00</subfield><subfield code="j">Werkstoffkunde: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">153</subfield><subfield code="j">2022</subfield><subfield code="h">185-197</subfield><subfield code="g">13</subfield></datafield></record></collection>
|
| score |
7.400179 |