{"title":"学习和技能集形成:版本升级、用户可见性和人工智能策略的结构检查","authors":"Jialie Chen","doi":"10.1111/poms.14065","DOIUrl":null,"url":null,"abstract":"For many multiplayer games, including massively multiplayer online role‐playing games (or MMORPGs), consumer skill sets with the game play an important role in engagement. Despite their importance, many aspects of consumers’ skill sets are still less well understood. This research considers the formation and evolution of players’ skill sets from two perspectives: (1) learning‐by‐doing, in which a consumer gradually improves his or her skill set with the game from past experiences with other players, and (2) learning about matched players’ skill sets from their observed characteristics (i.e., learning‐about‐others). Using policy simulations, we further demonstrate how inferences of players’ latent skill sets could help game developers design strategies for better engagement, from the perspectives of version upgrades, targeted user visibility, and artificial intelligence (AI)–powered bots.This article is protected by copyright. All rights reserved","PeriodicalId":20623,"journal":{"name":"Production and Operations Management","volume":" ","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Learning and Skill set Formation: A Structural Examination of Version Upgrades, User Visibility and AI Strategies\",\"authors\":\"Jialie Chen\",\"doi\":\"10.1111/poms.14065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For many multiplayer games, including massively multiplayer online role‐playing games (or MMORPGs), consumer skill sets with the game play an important role in engagement. Despite their importance, many aspects of consumers’ skill sets are still less well understood. This research considers the formation and evolution of players’ skill sets from two perspectives: (1) learning‐by‐doing, in which a consumer gradually improves his or her skill set with the game from past experiences with other players, and (2) learning about matched players’ skill sets from their observed characteristics (i.e., learning‐about‐others). Using policy simulations, we further demonstrate how inferences of players’ latent skill sets could help game developers design strategies for better engagement, from the perspectives of version upgrades, targeted user visibility, and artificial intelligence (AI)–powered bots.This article is protected by copyright. All rights reserved\",\"PeriodicalId\":20623,\"journal\":{\"name\":\"Production and Operations Management\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2023-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Production and Operations Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1111/poms.14065\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MANUFACTURING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Production and Operations Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1111/poms.14065","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
Learning and Skill set Formation: A Structural Examination of Version Upgrades, User Visibility and AI Strategies
For many multiplayer games, including massively multiplayer online role‐playing games (or MMORPGs), consumer skill sets with the game play an important role in engagement. Despite their importance, many aspects of consumers’ skill sets are still less well understood. This research considers the formation and evolution of players’ skill sets from two perspectives: (1) learning‐by‐doing, in which a consumer gradually improves his or her skill set with the game from past experiences with other players, and (2) learning about matched players’ skill sets from their observed characteristics (i.e., learning‐about‐others). Using policy simulations, we further demonstrate how inferences of players’ latent skill sets could help game developers design strategies for better engagement, from the perspectives of version upgrades, targeted user visibility, and artificial intelligence (AI)–powered bots.This article is protected by copyright. All rights reserved
期刊介绍:
The mission of Production and Operations Management is to serve as the flagship research journal in operations management in manufacturing and services. The journal publishes scientific research into the problems, interest, and concerns of managers who manage product and process design, operations, and supply chains. It covers all topics in product and process design, operations, and supply chain management and welcomes papers using any research paradigm.