Professional reviews as service: A mix method approach to assess the value of recommender systems in the entertainment industry

被引：6

作者：

Perano, Mirko ^{[1
,2
]}

Casali, Gian Luca ^{[3
]}

Liu, Yulin ^{[4
]}

Abbate, Tindara ^{[5
]}

机构：

[1] Reald Univ Coll AL, Dept Management, Rruga Zahir Pajaziti, Vlore 9400, Albania

[2] Univ Salerno IT, Dept Management & Innovat Syst, Via Giovanni Paolo II 132, I-84084 Fisciano, SA, Italy

[3] Queensland Univ Technol AU, Sch Management, Brisbane, Qld, Australia

[4] Queensland Univ Technol AU, Learning & Teaching Unit, Brisbane, Qld, Australia

[5] Univ Messina IT, Dept Econ, Messina, Italy

来源：

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | 2021年 / 169卷

关键词：

Professional reviews; Service systems; Service science; Service quality; Recommender systems; Movie critics; Content analysis; Multilevel analysis; WORD-OF-MOUTH; ONLINE CONSUMER REVIEWS; KNOWLEDGE MANAGEMENT; MODERATING ROLE; FILM-CRITICS; IMPACT; PRODUCT; INFORMATION; INNOVATION; MARKET;

D O I：

10.1016/j.techfore.2021.120800

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

As a recommender system, Metacritic (metacritic.com) quantifies and aggregates reviews of entertainment products. The metascore published by Metacritic is controversial in its process for gathering, translating, and aggregating reviews. This study aims to assess the quality of Metacritic's scoring of movie critics' reviews. By using a mixed methods approach integrating content analysis and multilevel analysis, we found that the movie review scores assigned by Metacritic reflecting the reviews' semantic contents, being unbiased across the critics, and differentiating the movies reviewed. The paper provides, also, both theoretical implications, referred to an original framing of professional reviews in the service science, service systems and service quality; and practical implications related to the potential customers and for the entertainment industry.

引用

页数：15

共 13 条

[1] The Public Service Approach to Recommender Systems: Filtering to Cultivate
Hilden, Jockum
TELEVISION & NEW MEDIA, 2022, 23 (07) : 777 - 796
[2] Finding the reviews on yelp that actually matter to me: Innovative approach of improving recommender systems
Luo, Yi
Tang, Liang
Kim, Eojina
Wang, Xi
INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT, 2020, 91
[3] Evaluating Service Quality and Service Value in Manufacturer-Distributor Settings: A Systems Approach
Kivijarvi, Hannu
Virta, Aleksi
JOURNAL OF BUSINESS-TO-BUSINESS MARKETING, 2021, 28 (01) : 23 - 49
[4] New Algorithm for Recommender Systems based on Singular Value Decomposition Method
Sharifi, Zeinab
Rezghi, Mansoor
Nasiri, Mahdi
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE 2013), 2013, : 86 - 91
[5] Catalyzing transformational leadership in Chinese hospitality industry - complexity theory perspective: mix method approach
Aslam, Nadia
Sahibzada, Umar Farooq
LEADERSHIP & ORGANIZATION DEVELOPMENT JOURNAL, 2024, 45 (02) : 304 - 328
[6] Recommender systems on web service selection problems using a new hybrid approach
Shahriyary, Sakineh
Aghabab, Mohmmad Pourmahmood
2014 4TH INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE), 2014, : 177 - 182
[7] A knowledge-driven digital nudging approach to recommender systems built on a modified Onicescu method
Sitar-Taut, Dan-Andrei
Mican, Daniel
Buchmann, Robert Andrei
EXPERT SYSTEMS WITH APPLICATIONS, 2021, 181
[8] Trustworthy and profit: A new value-based neighbor selection method in recommender systems under shilling attacks
Cai, Yuanfeng
Zhu, Dan
DECISION SUPPORT SYSTEMS, 2019, 124
[9] Identification of Service Platform Requirements from Value Propositions: A Service Systems Engineering Method
Adali, Onat Ege
Ozkan, Baris
Turetken, Oktay
Grefen, Paul
SMART AND SUSTAINABLE COLLABORATIVE NETWORKS 4.0 (PRO-VE 2021), 2021, 629 : 311 - 322
[10] The Value of Service Robots from the Hotel Guest's Perspective: A Mixed-Method Approach
Lin, Ingrid Y.
Mattila, Anna S.
INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT, 2021, 94

← 1 2 →