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To make operations of an organization digital, i.e., digital transformation (DX), companies and local governments are promoting on-site efforts to improve business efficiency using digital technology and the implementation of measures by DX-promotion departments. To further enhance the effectiveness of DX promotion, it is necessary to create a DX cycle in which workers in the field and DX-promotion departments cooperate to efficiently and accurately implement effective DX measures over a wide area. The work-improvement-support technology developed by NTT to meet this necessity is introduced in this article. [ABSTRACT FROM AUTHOR]

The study is devoted to the development of software and information support for business analysis procedures for technological systems of aerospace manufacturing. A technique for constructing simulation models that describe the technological processes of formation of working surfaces of precision aerospace parts based on the concept of technological inheritance is proposed. Evaluation criteria and approaches to managing the stability of technological systems in terms of ensuring functional qualities of the product are proposed. [ABSTRACT FROM AUTHOR]

Purpose: To redesign the spare parts (MRO) inventory management at Company XYZ's warehouse, considering the conditions after the COVID-19 pandemic. Design/methodology/approach: To address this research project, the authors integrated three methodologies: action research, Lean Six Sigma (DMAIC) and Cross Industry Standard Process for Data Mining. These methodologies integrated the Lean Six Sigma (LSS) 4.0 framework applied in this project. Findings: The spare parts inventory value was reduced by 15%, and inventory turnover increased by 120% without negatively impacting the internal service level. Practical implications: Practitioners leading or participating in continuous improvement projects (CIPs) should consider data quality (data available and data trustworthiness), problem-solving approach and target area involvement to achieve CIP goals. Otherwise, the LSS 4.0 could fail or extend its duration by several weeks or months. Originality/value: This project shows the importance of controlling a target area before deciding to conduct a LSS 4.0 project. To address this problem, the LSS 4.0 team implemented 5S during the measure phase of the DMAIC. Also, this project offers significant practitioner and theoretical contributions to the body of knowledge about LSS 4.0. [ABSTRACT FROM AUTHOR]

One of the problems of business analysis is obtaining and processing an ever-increasing volume of economic, financial, organizational, political and legal data. Multimodal business analytics is a new methodology combining the methods of classical business analysis with big data technologies, intelligent business analytics, multimodal data fusion, artificial neural networks and deep machine learning. The purpose of the study is to determine the conceptual foundations of the phenomenon of multimodal business analytics and substantiate the prospects for its use in economic science and practice. Methodologically, the study rests on the systems approach, i.e., multimodal business analytics is examined as a unique integrated phenomenon comprised of several interrelated components. The evidence base covers research studies of 2000–2022 on multimodal business analytics from Scopus and the Russian online database eLibrary.ru. Empirical methods were used to collect and evaluate the dynamics of the number of relevant publications and their segmentation by subject areas. We have proposed own thesaurus and ontology of the key terms that make up the phenomenon of multimodal business analytics. It is shown that the use of the concept allows expanding the range of data, exposing hidden interrelations of organizational and economic phenomena and synthesizing fundamentally new information needed for effective decision-making in business.

Spreadsheets help businesses run effectively and efficiently. However, many spreadsheets contain errors. Research provides taxonomies and guidance on preventing spreadsheet errors; this information often is not incorporated into training. Training students to use Excel functions and good spreadsheet practices is critical. This instructional experiment aims to educate students on techniques that reduce the chance of errors, provide an Excel project to demonstrate their skills and implement a quiz tool that identifies students' mistakes as they complete the project. The goal is to guide students to learn from their errors, improving confidence in their Excel skills. [ABSTRACT FROM AUTHOR]