The potential of Logistics 4.0 technologies: a case study through business intelligence framing by applying the Delphi method.

IF 3 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Frontiers in Artificial Intelligence Pub Date : 2024-10-17 eCollection Date: 2024-01-01 DOI:10.3389/frai.2024.1469958
Joaquim Jorge Vicente, Lurdes Neves, Inês Bernardo
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Abstract

Introduction: The growing competitiveness and the importance of data availability for organizations have created a demand for intelligent information systems capable of analyzing data to support strategy and decision-making. Organizations are generating more and more data due to new technologies associated with Industry 4.0 and Logistics 4.0, making it essential to transform this data into relevant information to streamline decision-making processes. This paper examines the influence of these technologies on gaining a competitive advantage, specifically in a logistics company, which is scarce in the literature.

Methods: A case study was conducted in a Portuguese company using the Delphi method with 61 participants-employees who use the company's integrated BI tool daily. The participants were presented with a questionnaire via the online platform Welphi, requiring qualitative responses to various statements based on the literature review and the results of semi-structured meetings with the company.

Results: The study aimed to identify areas where employees believe more investment/ development is needed to optimize processes and improve the use of the BI tool in the future. The results indicate that BI is a crucial technology when aligned with a company's objectives and needs, highlighting the necessity of top management's involvement in optimizing the BI tool. Encouraging employees to use the BI tool emerged as a significant factor, underscoring the importance of leadership in innovative projects to achieve greater competitive advantage for the company.

Discussion: This study aims to understand the importance of Business Intelligence (BI) and how its functionalities should be adapted according to a company's strategy and objectives to optimize decision-making processes. Thereby, the discussion focused on the essential role of BI technologies in leveraging the company's competitive advantage.

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物流 4.0 技术的潜力:应用德尔菲法通过商业智能框架进行的案例研究。
导言:企业的竞争力不断增强,数据可用性对企业的重要性日益凸显,这就对能够分析数据以支持战略和决策的智能信息系统产生了需求。由于与工业 4.0 和物流 4.0 相关的新技术的出现,企业正在生成越来越多的数据,因此将这些数据转化为相关信息以简化决策流程至关重要。本文研究了这些技术对获得竞争优势的影响,特别是对物流公司的影响,这在文献中很少见:方法:采用德尔菲法在一家葡萄牙公司进行了案例研究,共有 61 名参与者,他们都是每天使用公司综合商业智能工具的员工。参与者通过 Welphi 在线平台接受问卷调查,要求对基于文献综述和公司半结构化会议结果的各种陈述做出定性回答:研究旨在确定员工认为今后需要在哪些领域进行更多投资/开发,以优化流程并改进商业智能工具的使用。研究结果表明,如果与公司的目标和需求相一致,商业智能是一项至关重要的技术,这凸显了高层管理人员参与优化商业智能工具的必要性。鼓励员工使用商业智能工具也是一个重要因素,这凸显了领导力在创新项目中的重要性,从而为公司带来更大的竞争优势:本研究旨在了解商业智能(BI)的重要性,以及应如何根据公司战略和目标调整其功能,以优化决策过程。因此,讨论的重点是商业智能技术在利用公司竞争优势方面的重要作用。
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来源期刊
CiteScore
6.10
自引率
2.50%
发文量
272
审稿时长
13 weeks
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