2022
DOI: 10.1108/rjta-11-2021-0138
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Assessing the digitalisation level of the Tanzanian apparel industry: Industry 4.0 perspectives

Abstract: Purpose Industry 4.0 has an inimitable potential to create competitive advantages for the apparel industry by enhancing productivity, production, profitability, efficiency and effectiveness. This study, thus, aims to assess the digitalisation level of the Tanzanian apparel industry through the Industry 4.0 perspectives. Design/methodology/approach A mixed-methods-based approach was deployed. This study deployed semi-structured interviews, document review and observation methods for the qualitative approach. … Show more

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Cited by 10 publications
(11 citation statements)
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“…There are three approaches to research (quantitative research design, qualitative research design and a combination of the two—a mixed-methods research design), where qualitative design deals with qualitative data and quantitative design deal with quantitative data (Kothari, 2004; Mkansi and Acheampong, 2012; Williamson, 2018; Nhelekwa et al. , 2022; Mwasubila et al.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…There are three approaches to research (quantitative research design, qualitative research design and a combination of the two—a mixed-methods research design), where qualitative design deals with qualitative data and quantitative design deal with quantitative data (Kothari, 2004; Mkansi and Acheampong, 2012; Williamson, 2018; Nhelekwa et al. , 2022; Mwasubila et al.…”
Section: Methodsmentioning
confidence: 99%
“…There are three approaches to research (quantitative research design, qualitative research design and a combination of the two-a mixed-methods research design), where qualitative design deals with qualitative data and quantitative design deal with quantitative data (Kothari, 2004;Mkansi and Acheampong, 2012;Williamson, 2018;Nhelekwa et al, 2022;Mwasubila et al, 2022). This research was a quantitative-based design because it required examining the relationship between different variables and analysing them using statistical methods.…”
Section: Research and Sample Designmentioning
confidence: 99%
“…Zu (2009) describes QM practices as being both "hard" and "soft" and develops a conceptual model with QM practices in two groups: Core QM practices (i.e., quality information, product & service design and process management) and Infrastructure QM practices (i.e., top management support, customer relationship, supplier relationship and workforce management). With the advent of Industry 4.0 (e.g., Kagermann, 2015;Kagermann et al, 2013;Nhelekwa et al, 2022;Sony & Naik, 2019) and the concept of Quality 4.0 (e.g., Johnson, 2019;Sony et al, 2020), new and changing QM practices are also emerging (e.g., Gunasekaran et al, 2019;Maganga & Taifa, 2022a, 2022b. Technological gains within the realm of Industry 4.0, such as big data, artificial intelligence (AI) applications,…”
Section: Quality Management and Improvement Practicesmentioning
confidence: 99%
“…, 2017). The 4th IR involves multiple technologies, unlike the previous revolution, these include the Internet of things (IoT), machine learning (ML), artificial intelligence (AI), mixed reality (MR), virtual reality (VR), connected enterprise, augmented reality (AR), 3D printing, clouds storage, clouds computing, quantum computing, smart sensors, virtual factory, horizontal and vertical systems integration, autonomous robots, big data analytics, etc (Domino, 2017; Taifa, 2020; Nhelekwa et al. , 2022).…”
Section: Introductionmentioning
confidence: 99%
“…The third industrial revolution (3rd IR) in the 20th Century was characterised by automation and robotics, and now the fourth industrial revolution (4th IR) is characterised by digitalisation and integration into cyber-physical systems (CPSs) (Souza et al, 2021;Gokalp et al, 2017). The 4th IR involves multiple technologies, unlike the previous revolution, these include the Internet of things (IoT), machine learning (ML), artificial intelligence (AI), mixed reality (MR), virtual reality (VR), connected enterprise, augmented reality (AR), 3D printing, clouds storage, clouds computing, quantum computing, smart sensors, virtual factory, horizontal and vertical systems integration, autonomous robots, big data analytics, etc (Domino, 2017;Taifa, 2020;Nhelekwa et al, 2022).…”
mentioning
confidence: 99%