研究課題/領域番号 |
22K01673
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研究種目 |
基盤研究(C)
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配分区分 | 基金 |
応募区分 | 一般 |
審査区分 |
小区分07080:経営学関連
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研究機関 | 法政大学 |
研究代表者 |
玄 幼栄 法政大学, グローバル教養学部, 助教 (90906918)
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研究期間 (年度) |
2022-04-01 – 2027-03-31
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研究課題ステータス |
交付 (2023年度)
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配分額 *注記 |
4,160千円 (直接経費: 3,200千円、間接経費: 960千円)
2026年度: 910千円 (直接経費: 700千円、間接経費: 210千円)
2025年度: 1,300千円 (直接経費: 1,000千円、間接経費: 300千円)
2024年度: 650千円 (直接経費: 500千円、間接経費: 150千円)
2023年度: 520千円 (直接経費: 400千円、間接経費: 120千円)
2022年度: 780千円 (直接経費: 600千円、間接経費: 180千円)
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キーワード | Data democratization / big data / average employees / absorptive capacity / dynamic capability view / service robot / customer / agility / big data analytics / meaningful engagement |
研究開始時の研究の概要 |
This study aims to identify elements of service robots to create meaningful engagement and explore how service robots generate meaningful engagement to improve customers' intention to use service robots. To do this, this study will conduct both qualitative and quantitative research during 2022-2026.
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研究実績の概要 |
I completed multi-level interviews for the research called, "conceptualizing data democratization capability in the marketing context." I finished analyzing the interview data and writing of manuscript. The manuscript is now ready to be submitted one of the top journals called Information and Management. Also, I published one SCI journal called "Organizational agility enabled by big data analytics: information systems capabilities view" in Journal of Enterprise Information Management. This research provides the foundation to understand how big data analytics are embedded in organizational fabric and what kinds of capabilities are pursued to effectively leverage big data.
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現在までの達成度 (区分) |
現在までの達成度 (区分)
1: 当初の計画以上に進展している
理由
I already published one SCI peer-reviewed international journal and completed data collection, data analysis, manuscript for the conceptaulization paper called "conceptualizing data democratization capability in the marketing context." From now on, I am planning to work on operationalization of data democratization capability.
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今後の研究の推進方策 |
I will work on operationalization of data democratization capability after submitting conceptualization paper. To do so, I will collect survey data targeting average employees engaged in marketing domains across a variety of industries. Also, I am working on service robot paper using experiment research methods. The topic is focused on tele-operated robots in the embarrassing service contexts and compares the impact of mind perception with humans and AI-enabled humanoid service robots.
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