Industry 4.0 Challenges and Implementation Strategies: Benchmarked Results From Food and Beverage Manufacturing Industries in Tanzania

IF 1.8 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ismail W. R. Taifa, Ikupa Mwakagamba
{"title":"Industry 4.0 Challenges and Implementation Strategies: Benchmarked Results From Food and Beverage Manufacturing Industries in Tanzania","authors":"Ismail W. R. Taifa,&nbsp;Ikupa Mwakagamba","doi":"10.1002/eng2.70168","DOIUrl":null,"url":null,"abstract":"<p>The study assessed the challenges and strategies of Industry 4.0 (I4.0) in Tanzania's food and beverage manufacturing industries (FBMIs). Pertinent data were collected through a closed-ended questionnaire from 103 medium and large FBMIs. Data validity and reliability were tested using SPSS 23, where <i>p</i>-values &lt; 0.05 for validity testing and Cronbach Alpha value of &gt; 0.7 were determined for the reliability of the collected questionnaires. The normality of the data was tested using Kolmogorov–Smirnov and Shapiro–Wilk tests. The study found that employees were more informed about the benefits of adopting I4.0, with a mean score of 4.78. The prospect of I4.0 improving industry competitiveness on the international stage was ranked second in terms of awareness. Also, there was no significant difference in awareness levels for nine I4.0 technologies among the FBMIs. Most FBMIs had not fully established a roadmap for using I4.0 technologies. Findings showed that challenges have no significant differences, for example, for financial challenges (χ<sup>2</sup> = 1.121, <i>p</i> = 0.571 &gt; 0.05), return on investment and cost–benefit analysis for implementing I4.0 technologies with (χ<sup>2</sup> = 0.027, <i>p</i> = 0.987 &gt; 0.05), identifying and securing funds for implementing I4.0 technologies (with χ<sup>2</sup> = 1.918, <i>p</i> = 0.383 &gt; 0.05), among others. Implementing I4.0-related technologies is high; the findings showed that the overall mean score was 3.75, corresponding to “level 4” on the five-point Likert awareness scale. Also, some challenges should be tackled to implement I4.0-related technologies smoothly. Consequently, such challenges can be addressed by implementing the proposed strategies. The study suggests that stakeholders must implement relevant technologies fully despite FBMIs' high I4.0 awareness. Lastly, the study proposed strategies for implementing I4.0 in the FBMIs, including embracing data-driven decision-making and training leaders and top management regarding the benefits of I4.0 implementation. Strategies should be supported by top management commitment and adequate budget allocation.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 5","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70168","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering reports : open access","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/eng2.70168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

The study assessed the challenges and strategies of Industry 4.0 (I4.0) in Tanzania's food and beverage manufacturing industries (FBMIs). Pertinent data were collected through a closed-ended questionnaire from 103 medium and large FBMIs. Data validity and reliability were tested using SPSS 23, where p-values < 0.05 for validity testing and Cronbach Alpha value of > 0.7 were determined for the reliability of the collected questionnaires. The normality of the data was tested using Kolmogorov–Smirnov and Shapiro–Wilk tests. The study found that employees were more informed about the benefits of adopting I4.0, with a mean score of 4.78. The prospect of I4.0 improving industry competitiveness on the international stage was ranked second in terms of awareness. Also, there was no significant difference in awareness levels for nine I4.0 technologies among the FBMIs. Most FBMIs had not fully established a roadmap for using I4.0 technologies. Findings showed that challenges have no significant differences, for example, for financial challenges (χ2 = 1.121, p = 0.571 > 0.05), return on investment and cost–benefit analysis for implementing I4.0 technologies with (χ2 = 0.027, p = 0.987 > 0.05), identifying and securing funds for implementing I4.0 technologies (with χ2 = 1.918, p = 0.383 > 0.05), among others. Implementing I4.0-related technologies is high; the findings showed that the overall mean score was 3.75, corresponding to “level 4” on the five-point Likert awareness scale. Also, some challenges should be tackled to implement I4.0-related technologies smoothly. Consequently, such challenges can be addressed by implementing the proposed strategies. The study suggests that stakeholders must implement relevant technologies fully despite FBMIs' high I4.0 awareness. Lastly, the study proposed strategies for implementing I4.0 in the FBMIs, including embracing data-driven decision-making and training leaders and top management regarding the benefits of I4.0 implementation. Strategies should be supported by top management commitment and adequate budget allocation.

Abstract Image

工业4.0的挑战和实施策略:坦桑尼亚食品和饮料制造业的基准结果
该研究评估了坦桑尼亚食品和饮料制造业(fbmi)的工业4.0 (I4.0)的挑战和战略。通过封闭式问卷收集103个大中型fbmi的相关数据。使用SPSS 23对数据进行效度和信度检验,其中p值<; 0.05为效度检验,Cronbach Alpha值>; 0.7为收集到的问卷的信度。使用Kolmogorov-Smirnov和Shapiro-Wilk检验检验数据的正态性。研究发现,员工更了解采用工业4.0的好处,平均得分为4.78。工业4.0在国际舞台上提高行业竞争力的前景在认知度方面排名第二。此外,fbmi对9种工业4.0技术的认知水平也没有显著差异。大多数fbmi没有完全建立使用工业4.0技术的路线图。调查结果显示,面临的挑战没有显著差异,例如,财务挑战(χ2 = 1.121, p = 0.571 > 0.05)、实施工业4.0技术的投资回报率和成本效益分析(χ2 = 0.027, p = 0.987 > 0.05)、确定并获得实施工业4.0技术的资金(χ2 = 1.918, p = 0.383 > 0.05)等。实现4.0相关技术的难度很高;研究结果显示,总体平均得分为3.75分,相当于李克特五分制意识量表的“4级”。此外,为了顺利实现与4.0相关的技术,还应该解决一些挑战。因此,可以通过实施拟议的战略来解决这些挑战。该研究表明,尽管fbmi具有高度的工业4.0意识,但利益相关者必须充分实施相关技术。最后,该研究提出了在fbmi中实施工业4.0的策略,包括采用数据驱动的决策,培训领导者和高层管理人员关于实施工业4.0的好处。战略应得到最高管理层的承诺和适当的预算拨款的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
5.10
自引率
0.00%
发文量
0
审稿时长
19 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信