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.

中文翻译：

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评估数字服务创新 （DSI） 对业务绩效的影响：人工智能 （AI） 的中介效应

 目的

该研究旨在探索基于服务的模型中数字服务创新 （DSI）、人工智能 （AI） 和业务绩效 （BPer） 之间的动态关系，重点关注来自服务使用和客户反馈的 AI 增强洞察如何加强业务战略。其目的是表明 DSI 和 AI 是推动数字经济增长和效率的关键，并强调 AI 在利用上下文数据来改进决策和业务成果方面的作用。

设计/方法/方法

该研究使用一般结构方程模型来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的取向。数据来自伊比利亚平衡分析系统 [Sistema de Análisis de Balances Ibéricos （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。该方法旨在评估 DSI、AI 和 BPer 之间的相互作用，目的是为基于服务的业务导向确定可操作的见解。

 发现

该研究阐明了 DSI、AI 和 BPer 之间的关系，提供了新的理论和实证见解。研究结果证实了 DSI 对绩效的直接积极影响，并表明 AI 的微妙中介作用，强调了制造公司战略性 DSI-AI 集成以提高绩效的必要性。

研究局限性/影响

该研究解释了 DSI 和 AI 在促进 BPer 和发现如何将副产品数据转化为战略洞察方面的协同纽带。

 实际意义

本研究建议制造业领导者将 DSI 和 AI 集成在一起，以提高绩效和竞争优势，并强调高质量上下文数据对 AI 学习和决策的价值。

 原创性/价值

研究人员将观察到，该研究证实了 DSI 对 BPer 的积极影响，同时也强调了 AI 在增强这种影响方面的重要作用。