Ohio’s 5G and Broadband Workforce: Assessing the Current Landscape Using Skillshed Analysis

Humeniuk, Ryan; Erfanian, Elham; Jolley, G. Jason

doi:10.3390/merits4010005

Cited by 1 publication

(2 citation statements)

References 29 publications

(50 reference statements)

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“…Jolley and Khalaf (2020) also used skillshed analysis to determine prospective training needs and gaps should Amazon HQ2 locate its facility in the Columbus, Ohio MSA. Lastly, Humeniuk et al (2024) used skillshed analysis to assess training needs for 5G and broadband expansion in Ohio. Khalaf et al (2021) expanded the geographic application of skillshed analysis by focusing on transition opportunities and challenges for tobacco industry workers in the Piedmont of North Carolina.…”

Section: Skillshed Analysismentioning

confidence: 99%

“…A common approach to skillshed analysis using publicly available data typically relies on identifying occupations expected to grow (Jolley et al, 2019) or expected to be in demand (for example, due to the attraction of a new industry or other growth indicators; see Jolley & Khalaf, 2020;Humeniuk et al, 2024). Once determined, these growth or in-demand occupations are assessed according to their assorted skill mix and wages.…”

Section: Skillshed Analysismentioning

confidence: 99%

See 1 more Smart Citation

Navigating occupational digitalization via skillshed analysis

Jolley,

Bone,

Bacot

et al. 2024

American J Econ Sociol

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The rapid digitalization of jobs in the United States and globally provides both an economic opportunity and a challenge for upskilling and reskilling the workforce. Retraining and reintegrating displaced or at‐risk workers, particularly in a competitive labor market, brings significant economic benefits to communities, employers, and employees. Individuals in at‐risk or declining occupations likely lack requisite digital literacy and associated skills that enable them to transition smoothly into roles that require digital proficiency. Drawing from research indicating the rapid digitalization of the U.S. economy and workforce, this study employs skillshed analysis to examine a sample of vulnerable occupations within coal‐related industries. The goal is to evaluate training gaps and wage differentials for individuals shifting from coal‐related occupations to roles requiring higher levels of digital literacy. Providing quality reemployment options for coal‐economy workers reduces the barriers to transitioning to more sustainable energy provision, yet prior studies have found that coal‐economy workers possess lower levels of digital literacy. Our study reaffirms these prior findings that many coal economy workers lack the requisite knowledge, training, and educational attainment to easily transition to occupations requiring high degrees of digitalization. As a result, to be successful in retraining and upskilling those in coal‐related occupations and to meet sustainable development goals, it is necessary to assist these workers in their transition into viable occupations.

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Section: Skillshed Analysismentioning

confidence: 99%

Section: Skillshed Analysismentioning

confidence: 99%