评估数字服务创新(DSI)对企业绩效的影响:人工智能(AI)的中介效应

IF 7.4 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Juan Carlos Monroy-Osorio
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引用次数: 0

摘要

目的本研究旨在探索基于服务的模式中数字服务创新(DSI)、人工智能(AI)和业务绩效(BPer)之间的动态关系,重点关注人工智能从服务使用和客户反馈中增强的洞察力如何加强业务战略。其目的是表明 DSI 和人工智能是推动数字经济增长和提高效率的关键,并强调人工智能在利用上下文数据改善决策和业务成果方面的作用。 设计/方法/途径 本研究采用一般结构方程模型分析西班牙制造企业,重点关注中型企业,包括企业对企业和企业对消费者两个方向。数据来自伊比利亚平衡分析系统(SABI)数据库,并辅以 Qualtrics 调查,以评估人工智能在决策过程中的整合情况。该方法旨在评估 DSI、AI 和 BPer 之间的相互作用,目的是为以服务为基础的企业定位确定可行的见解。 研究结果 该研究澄清了 DSI、AI 和 BPer 之间的关系,提供了新的理论和经验见解。研究结果证实了 DSI 对绩效的直接积极影响,并提出了人工智能的微妙中介作用,强调了制造业企业为提高绩效而进行 DSI-AI 战略整合的必要性。研究局限/启示 研究解释了 DSI 和人工智能在提高 BPer 方面的协同作用,并发现了如何将副产品数据转化为战略洞察力。本研究建议制造业领导者整合 DSI 和人工智能,以提高绩效和竞争优势,并强调了高质量的上下文数据对于人工智能学习和决策的价值。 研究人员将注意到,本研究证实了 DSI 对 BPer 的积极影响,同时还强调了人工智能在增强这种影响方面的重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the impact of digital service innovation (DSI) on business performance: the mediating effect of Artificial Intelligence (AI)

Purpose

The research aims to explore the dynamic relationship between digital service innovation (DSI), artificial intelligence (AI) and business performance (BPer) in service-based models with a focus on how AI-enhanced insights from service use and customer feedback can strengthen business strategies. The aims are to show that DSI and AI are key to driving growth and efficiency in the digital economy and to underscore AI’s role in utilizing contextual data to improve decision-making and business outcomes.

Design/methodology/approach

The study uses general structural equation modeling to analyze Spanish manufacturing firms, focusing on medium-sized enterprises and including both business-to-business and business-to-consumer orientations. Data are drawn from the Iberian Balance Analysis System [Sistema de Análisis de Balances Ibéricos (SABI)] database, complemented by a Qualtrics survey to assess the integration of AI in decision-making processes. The methodology is designed to evaluate the interplay between DSI, AI and BPer, with the aim of identifying actionable insights for service-based business orientations.

Findings

The study clarifies the relationships between DSI, AI and BPer, providing new theoretical and empirical insights. The findings confirm DSI's direct positive impact on performance and suggest AI’s nuanced mediating role, emphasizing the need for strategic DSI-AI integration in manufacturing firms for enhanced performance.

Research limitations/implications

The research explains the synergistic bond between DSI and AI in boosting BPer and discovering how by-product data can be transformed into strategic insights.

Practical implications

This study advises manufacturing sector leaders to integrate DSI and AI for enhanced performance and competitive advantage, emphasizing the value of high-quality, contextual data for AI learning and decision-making.

Originality/value

Researchers will observe that the study confirms the positive impact of DSI on BPer, while also highlighting the significant role of AI in enhancing this effect.

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来源期刊
CiteScore
14.80
自引率
6.20%
发文量
30
期刊介绍: The Journal of Enterprise Information Management (JEIM) is a significant contributor to the normative literature, offering both conceptual and practical insights supported by innovative discoveries that enrich the existing body of knowledge. Within its pages, JEIM presents research findings sourced from globally renowned experts. These contributions encompass scholarly examinations of cutting-edge theories and practices originating from leading research institutions. Additionally, the journal features inputs from senior business executives and consultants, who share their insights gleaned from specific enterprise case studies. Through these reports, readers benefit from a comparative analysis of different environmental contexts, facilitating valuable learning experiences. JEIM's distinctive blend of theoretical analysis and practical application fosters comprehensive discussions on commercial discoveries. This approach enhances the audience's comprehension of contemporary, applied, and rigorous information management practices, which extend across entire enterprises and their intricate supply chains.
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