The Impact of Digital Transformation on Organizational Performance in Japan

Takuya Nakamura
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Abstract

Purpose: The aim of the study was to investigate the impact of digital transformation on organizational performance in Japan. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Transformative impact of digital transformation on organizational performance in Japan. Key findings reveal significant improvements in efficiency and productivity through automation and AI integration, alongside enhanced customer experiences through personalized digital interactions. Innovation has been accelerated by technologies like IoT and big data analytics, enabling agile responses to market demands. Despite these advancements, challenges such as legacy system integration and cybersecurity threats persist, requiring proactive leadership and workforce upskilling. Unique Contribution to Theory, Practice and Policy: Resource-based view (RBV), dynamic capabilities theory& technology acceptance model (TAM) may be used to anchor future studies on the digital transformation on organizational performance in Japan. Organizations should develop comprehensive digital transformation roadmaps that align with their strategic goals and operational needs. Policymakers should collaborate with industry stakeholders to develop flexible regulatory frameworks that promote innovation while safeguarding data privacy and security.
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数字化转型对日本组织绩效的影响
目的:本研究旨在探讨数字化转型对日本组织绩效的影响。研究方法:本研究采用案头研究法。案头研究设计通常被称为二手数据收集。这主要是从现有资源中收集数据,因为与实地研究相比,它具有成本低的优势。我们目前的研究调查了已经出版的研究和报告,因为这些数据很容易通过在线期刊和图书馆获取。研究结果数字化转型对日本组织绩效的变革性影响。主要研究结果表明,通过自动化和人工智能的整合,效率和生产力得到显著提高,同时通过个性化的数字互动提升了客户体验。物联网和大数据分析等技术加速了创新,使企业能够灵活应对市场需求。尽管取得了这些进步,但遗留系统集成和网络安全威胁等挑战依然存在,需要积极的领导力和劳动力技能的提升。对理论、实践和政策的独特贡献:基于资源的观点(RBV)、动态能力理论和技术接受模型(TAM)可用于未来有关日本组织绩效数字化转型的研究。各组织应制定符合其战略目标和运营需求的全面数字化转型路线图。政策制定者应与行业利益相关者合作,制定灵活的监管框架,在保护数据隐私和安全的同时促进创新。
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