Virtual On line
June 22, 2020
June 22, 2020
June 26, 2021
With the emergence of Industry 4.0, new job roles are being created: data analysts, solution architects, and network professionals within manufacturing. New technologies are being applied to the workplace: Internet of Things, big data, and blockchain (World Economic Forum, 2018). But this rapidly disruptive change can cause anxiety among warehouse workers because advanced technology may bring about mass layoff (Huynh et al., 2017). In addition, from the employee’s perspective, cooperation with machines and the negative psychological influence of new technologies may deteriorate the work environment for warehouse workers (Derksen, 2014). From the employer’s perspective, unpreparedness causes issues as mass layoff in warehouses, which leads to increased cost in replacing workers. For example, Lee et al., (2018) point out that an Internet of Things device enhances efficiency and increases warehouse workers’ job satisfaction. However, the industry is suffering from fewer job opportunities because advanced technology supplants human workers. Despite the warehouse workers who are disruptively affected by the introduction of advanced technology and systems, the majority of published reviews focus on ways/models/systems of improving warehouse performance using new technologies (e.g., Azadeh, De Koster, & Roy, 2019; Staudt et al., 2015; Yener & Yazgan, 2019). Organizations need to develop skills internally and invest in training to embrace the change that Industry 4.0 has generated. Universities ought to adapt the change and update teaching approaches as well. For engineering educators, it is preferable to shift the focus from warehouse systems improvement to studying how to prepare the next generation warehouse workforce. This literature review tries to answer the research question: what are effective means that warehouses use to prepare their employees for the change that Industry 4.0 is bringing about? This systematic literature review will employ an extensive list of search terms related Industry 4.0. For example, we will include: Industry 4.0, internet of things, blockchain, digital, connected, sensor, robotics, artificial intelligence, smart, and big data. In addition, it will focus on how to prepare the next generation workforce at various venues, such as 2-year college, university, workplaces. Also included are: education, training, and talent development as another three key search terms. The work uses four popular databases, ABI/Inform Complete, Business Search Ultimate/Business Search Complete, Web of Science, and EBSCO, to survey the literature, synthesize findings, and make suggestions for future research. Boolean search techniques related to key terms are used to refine the selected articles.
Xie, L., & Natarajarathinam, M., & Johnson, M. (2020, June), Warehouse Workforce Preparedness in the Wake of Industry 4.0: A Systematic Literature Review Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--35493
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