Unveiling the impact of digital transformation: a study on key disciplines, technological unemployment, and neo-Luddism in the textile industry

ÖZ S., Ibrahim B., Civriz M., Başar P.

Global Knowledge, Memory and Communication, 2024 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1108/gkmc-12-2023-0507
  • Dergi Adı: Global Knowledge, Memory and Communication
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, IBZ Online, Periodicals Index Online, Aerospace Database, Communication Abstracts, Educational research abstracts (ERA), Historical Abstracts, Index Islamicus, Information Science and Technology Abstracts, INSPEC, Library and Information Science Abstracts, Library Literature and Information Science, Library, Information Science & Technology Abstracts (LISTA), Metadex, MLA - Modern Language Association Database, vLex, Civil Engineering Abstracts
  • Anahtar Kelimeler: Analytical hierarchical process (AHP), Digital transformation, Industry 4.0, Neo-Luddism, Technological unemployment, Textile manufacturing
  • İstanbul Ticaret Üniversitesi Adresli: Evet

Özet

Purpose: The primary aim of this study is to identify and analyze the key digital transformation areas and determine their impact on technological unemployment in the textile sector. In addition, this study explores whether digital transformation contributes to neo-Luddism or Robot Breaking. Design/methodology/approach: The advent of digital transformation has raised significant concerns, particularly concerning technological unemployment. This study focuses on conducting an analytical hierarchical process (AHP) analysis to determine the impact of different disciplines within digital transformation on technological unemployment. The investigation specifically delves into the ongoing transition to Industry 4.0 within the textile industry. This study uses a mixed-method approach, consisting of a literature review, bibliometric analysis, eight expert phenomenological interviews, and AHP. Findings: This study revealed that artificial intelligence, machine learning and deep learning are the most crucial disciplines that will affect the concept of neo-Luddism. The fact that technological unemployment in the textile sector is examined with AHP Analysis makes this study unique. Originality/value: This study contributes to Industry 4.0 literature by examining the nexus of technological unemployment in textile manufacturing and the emergence of neo-Luddism.