Artificial intelligence (AI)-augmented knowledge management capability and clinical performance: implications for marketing strategies in health-care sector

IF 6.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Pradeep Kumar
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Abstract

Purpose

This study aims to explore the constituents of artificial intelligence (AI)-augmented knowledge management (AIKM) capability and its impact on clinical performance (CP) in the health-care sector. It further examines the mediating role of absorptive capacity (Abs Cap) and discusses the implications of these findings for marketing strategies, highlighting how enhanced CP through AIKM can lead to more effective and patient-centered marketing approaches.

Design/methodology/approach

This research uses a mixed-method design. A qualitative study through semi-structured interviews was conducted to explore the facets of AIKM. The synthesis of qualitative findings infused with the relevant literature to develop a hypothesized model of AKM, Abs cap and CP metrics (e.g. diagnostic accuracy, patient satisfaction and treatment effectiveness). A survey of health-care professional in India was conducted to assess the proposed model by using structural equation modeling (PLS-SEM).

Findings

The results demonstrate a significant positive relationship between AIKM and CP. Moreover, Abs Cap mediates this relationship partially, highlighting its crucial role in translating improved knowledge access and analysis enabled by AI into enhanced clinical outcomes.

Research limitations/implications

The findings suggest that health-care organizations should invest in developing AIKM alongside strengthening Abs cap to maximize the positive impact of AI on CP and ultimately improve patient care. Future research can explore specific AIKM components and Abs cap facets influencing different aspects of CP.

Originality/value

This study represents a pioneering effort to conceptualize AIKM within the health-care context and empirically establish it as a higher-order factor. The inclusion of marketing strategies underscores the potential of AIKM not only in improving clinical outcomes but also in transforming health-care marketing. The mediating role of Abs Cap emphasizes the importance of organizational structures and processes that facilitate the absorption and utilization of knowledge, thereby contributing to both clinical and marketing excellence.

人工智能(AI)增强的知识管理能力和临床表现:对保健部门营销战略的影响
目的本研究旨在探讨人工智能(AI)增强知识管理(AIKM)能力的组成部分及其对医疗保健部门临床绩效(CP)的影响。它进一步研究了吸收能力的中介作用(Abs Cap),并讨论了这些发现对营销策略的影响,强调了通过AIKM增强CP如何导致更有效和以患者为中心的营销方法。设计/方法/方法本研究采用混合方法设计。通过半结构化访谈进行了定性研究,以探讨AIKM的各个方面。综合相关文献的定性发现,建立AKM、Abs cap和CP指标(如诊断准确性、患者满意度和治疗有效性)的假设模型。对印度的卫生保健专业人员进行了一项调查,利用结构方程建模(PLS-SEM)来评估所提出的模型。研究结果表明,AIKM与CP之间存在显著的正相关关系。此外,Abs Cap部分地介导了这种关系,突出了其在将AI所带来的知识获取和分析改善转化为临床结果方面的关键作用。研究的局限性/意义研究结果表明,卫生保健机构应在加强Abs上限的同时投资发展人工智能,以最大限度地发挥人工智能对CP的积极影响,并最终改善患者护理。未来的研究可以探索影响cp不同方面的特定AIKM成分和Abs上限方面。原创性/价值本研究代表了在医疗保健背景下概念化AIKM的开创性努力,并实证地将其作为一个高阶因素。营销战略的纳入强调了AIKM不仅在改善临床结果方面,而且在改变保健营销方面的潜力。Abs Cap的中介作用强调了促进知识吸收和利用的组织结构和过程的重要性,从而有助于临床和营销的卓越。
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来源期刊
CiteScore
13.70
自引率
15.70%
发文量
99
期刊介绍: Knowledge Management covers all the key issues in its field including: ■Developing an appropriate culture and communication strategy ■Integrating learning and knowledge infrastructure ■Knowledge management and the learning organization ■Information organization and retrieval technologies for improving the quality of knowledge ■Linking knowledge management to performance initiatives ■Retaining knowledge - human and intellectual capital ■Using information technology to develop knowledge management ■Knowledge management and innovation ■Measuring the value of knowledge already within an organization ■What lies beyond knowledge management?
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