Journal of Information Management

1. Sale from Fun: The Influence of Gamification on Brand Attachment and Cross-buying

李家瑩;李淑美;徐絁瑀;
頁: 265-290
日期: 2020/07
關鍵字: mechanics dynamics emotions (MDE framework);gamification;cross-buying;brand attachment;
Keywords: mechanics dynamics emotions (MDE framework);gamification;cross-buying;brand attachment;
摘要: Purpose-Nowadays, gamification is used in nearly all fields. Many firms deliver product information to customers or interact with them through gamification. However, few previous studies have discussed the influence of gamification on consumers' atti...

瀏覽次數: 30310 下載次數: 1694

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2. Enhancing Consumer Online Shopping Behavior through Gamification

許艷;李慶章;曹譽;顏克典;
頁: 291-310
日期: 2020/07
關鍵字: online shopping;gamification;cognitive evaluation theory;game element;user engagement;
Keywords: online shopping;gamification;cognitive evaluation theory;game element;user engagement;
摘要: Purpose-With a boom in mobile applications and social media, competition in the online shopping market is becoming fierce, and many business organizations are working to affect consumer shopping behavior. This study aims to build a theoretical model ...

瀏覽次數: 28673 下載次數: 632

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3. How to Choose a University Department? Using Composite Importance and Multi-criteria Decision Making Methodsto Construct a Military Department Selection Model and App Platform

張珈進;王沛翎;
頁: 311-340
日期: 2020/07
關鍵字: multi-criteria decision-making;information asymmetry;fuzzy modified Delphi;composite importance;
Keywords: multi-criteria decision-making;information asymmetry;fuzzy modified Delphi;composite importance;
摘要: Purpose-The purpose of this study is to construct the decision-making criteria that influence the selection of military universities for high school students from consumption value perspective. Design/methodology/approach-The fuzzy modified Delphi wa...

瀏覽次數: 19244 下載次數: 326

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4. Factors Influencing Customer Use of Financial Robo-Advisor

洪新原;洪幼力;劉晴;
頁: 341-375
日期: 2020/07
關鍵字: FinTech;financial Robo-advisor;influencing factor;intention to use;model of attitude;
Keywords: FinTech;financial Robo-advisor;influencing factor;intention to use;model of attitude;
摘要: Purpose-Robo-advisor is one of the most popular applications in FinTech services. With the advent of technology, big data and artificial intelligence have changed the way of traditional financial services operations, which relied heavily on financial...

瀏覽次數: 31169 下載次數: 2460

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