通过信息配置解释手机游戏的起飞

IF 4.2 3区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Industrial Management & Data Systems Pub Date : 2021-08-17 DOI:10.1108/imds-12-2020-0712
Zhongjun Tang, Bo-Feng He
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引用次数: 0

摘要

本文的目的是探讨发行商发行的游戏数量和质量、游戏类型的受欢迎程度、年龄分级和包大小是如何在短时间内决定手机游戏的起飞的。基于信号理论,作者提出了一个概念模型。作者使用了苹果App store中170款手机游戏的初始阶段的实际数据,并通过模糊定性比较分析(fsQCA)测试了这一概念模型。研究结果指出了手机游戏在短时间内起飞的四种解决方案。作者强调了发行商发行的游戏数量和质量,以及流行游戏类型的作用,这些都是核心因素。原创性/价值本文从配置的角度探索哪些信息组合能够在短时间内导致手机游戏起飞,对前人关于手机游戏扩散的研究进行了补充。与回归分析方法相比,FsQCA是解释变量之间复杂关系的更好工具。作者进一步阐述了发行商发行的游戏数量和质量、游戏类型的受欢迎程度、年龄分级和游戏包大小是如何在短时间内推动手机游戏的发展的。
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Explaining mobile game takeoff through information configuration
PurposeThe purpose of this paper is to explore how the number and quality of games that publishers have released, popularity of game genre, age rating and package size are configured to determine the mobile game takeoff in a short time.Design/methodology/approachBased on the signaling theory, the authors present a conceptual model. Using actual data about 170 mobile games at their initial stage in the Apple App store, the authors test the conceptual model by applying fuzzy qualitative comparative analysis (fsQCA).FindingsThe findings identify four solutions that explain Mobile game takeoff in a short time. The authors highlight the role of the number and quality of games released by publishers, as well as that of popular game genres, which are always core factors when present.Originality/valueThis paper complements the previous research on the diffusion of mobile games by exploring which information combinations can lead to mobile games takeoff in a short time from the perspective of configuration. FsQCA serves as a better tool for explaining the complex relationships among variables than a regression analysis approach does. The authors extend existing knowledge on how the number and quality of games that publishers have released, popularity of game genre, age rating and package size combine to lead to takeoff of mobile games in a short time.
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来源期刊
Industrial Management & Data Systems
Industrial Management & Data Systems 工程技术-工程:工业
CiteScore
9.60
自引率
10.90%
发文量
115
审稿时长
3 months
期刊介绍: The scope of IMDS cover all aspects of areas that integrates both operations management and information systems research, and topics include but not limited to, are listed below: Big Data research; Data analytics; E-business; Production planning and scheduling; Logistics and supply chain management; New technology acceptance and diffusion; Marketing of new industrial products and processes; Sustainable supply chain management; Green information systems; IS strategies; Knowledge management; Innovation management; Performance measurement; Social media in businesses
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