探索虚拟商品购买意向:网络游戏中的 SEM-NCA 综合方法

IF 1.3 Q3 MANAGEMENT Central European Management Journal Pub Date : 2024-02-26 DOI:10.1108/cemj-09-2023-0350
Nadjim Mkedder, Mahmut Bakır, Yaser Aldhabyani, F. Z. Ozata
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引用次数: 0

摘要

目的 近年来,虚拟商品消费急剧上升。由于认识到虚拟物品能为网络游戏公司带来收益,营销人员努力了解虚拟物品购买背后的动机。我们研究了功能价值、情感价值和社会价值通过玩家满意度对网络游戏玩家购买虚拟物品意向的直接和间接影响。我们采用了结合偏最小二乘结构方程建模(PLS-SEM)和必要条件分析(NCA)的多元分析方法来研究提出的关系。研究结果研究结果表明,价值和玩家满意度的所有维度都会显著影响虚拟商品的购买意向。然而,社会价值对玩家满意度的影响并不明显。此外,我们证实玩家满意度在功能价值、情感价值和购买意向之间起到了中介作用。此外,NCA 结果表明,模型中的所有预测因素都是虚拟物品购买意向的必要条件。原创性/价值这些发现通过提出一种多重分析方法,从对称(PLS-SEM)和非对称(NCA)的角度加深了对网络游戏玩家购买意向的理解。
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Exploring virtual goods purchase intentions: an integrated SEM-NCA approach in online gaming
PurposeVirtual goods consumption has risen dramatically in recent years. Recognizing the benefits of virtual goods in generating revenue for online game companies, marketers strive to understand the motives behind virtual goods purchases. We investigated the direct and indirect effects of functional, emotional, and social values through player satisfaction on purchase intention toward virtual goods among online players.Design/methodology/approachIn total, we surveyed 332 online game players utilizing a structured questionnaire. We employed a multi-analytic approach combining partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) to examine the proposed relationships.FindingsThe findings show that all dimensions of value and player satisfaction significantly affect the intention to acquire virtual goods. However, social value does not exert a significant effect on player satisfaction. Moreover, we confirmed that player satisfaction mediates the relationships between functional value, emotional value, and purchase intention. Furthermore, NCA results indicated that all predictors in the model are necessary conditions of purchase intention for virtual goods.Originality/valueThese findings contribute to an enhanced understanding of purchase intentions among online game players from a symmetric (PLS-SEM) and asymmetric (NCA) perspective by proposing a multi-analytic approach.
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来源期刊
CiteScore
2.20
自引率
11.10%
发文量
21
审稿时长
24 weeks
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