Skills Expectations in Cybersecurity: Semantic Network Analysis of Job Advertisements

Graham, C. Matt; Lu, Yonggang

doi:10.1080/08874417.2022.2115954

Cited by 7 publications

(2 citation statements)

References 56 publications

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“…For cyber security professionals, Parker and Brown's (2019) review of job adverts identified technical, business and interpersonal skills as common requirements. Graham and Lu (2022) added knowledge management and data analysis skills to these requirements. These examples illustrate that while there may be a variation in the tasks and the technical skills required from IT recruits, there is an overlap in the soft skills required in IT roles.…”

Section: Literaturementioning

confidence: 99%

Signalling new opportunities? An analysis of UK job adverts for degree apprenticeships

Fabian

Taylor‐Smith

Smith

et al. 2023

HESWBL

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PurposeThe purpose of this study is to gain insight into the degree apprenticeship labour market and employers' strategies for apprenticeship recruitment using job advertisement data. Specifically, this study identifies the skills, attributes, experience and qualifications that employers look for in IT apprentices. The study also identifies the salaries and responsibilities of apprentices and considers the alignment between the advertised jobs and apprenticeship definitions.Design/methodology/approachDegree apprenticeship job adverts (n = 290) were collected from the official websites used by employers in England and Scotland to advertise apprenticeship roles, between March 2019 and March 2020. Data was analysed using content analysis to systematically elicit salaries, candidate requirements in terms of skills, qualifications and experience and specific job details from these adverts.FindingsA wide variation in advertised salary was found. Entry routes were similar to the traditional high school qualifications (A-levels or Highers) sought by universities. The skills and attributes being sought at recruitment were the same skills that employers were seeking in graduates and the same skills that the apprenticeships were designed to develop. Most adverts focused on the training that the apprentices would be receiving, rather than work tasks, which were rarely specified.Originality/valueThis is the first study of how apprenticeship roles are advertised to potential candidates and thus contributes to ongoing research into this new work/degree-level education model. By analysing job adverts we share insights into how employers position apprenticeships to attract candidates.

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Section: Literaturementioning

confidence: 99%

Signalling new opportunities? An analysis of UK job adverts for degree apprenticeships

Fabian

Taylor‐Smith

Smith

et al. 2023

HESWBL

View full text Add to dashboard Cite

show abstract

“…Decision making and problem solving were highlighted [61], and organisational skills, as a requirement for creating knowledge bases [27].…”

Section: Soft Skills In Cybersecuritymentioning

confidence: 99%

What's in an undergraduate Computer Science Degree; Alumni perceptions about soft skills in careers

Ivory,

Towse,

Sturdee

et al. 2023

Preprint

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Software engineering skills are broad and varied, encompassing not only technical abilities, but cognitive and social dimensions as well. Previous research establishes soft skills as being central for software engineering, e.g., teamwork, communication, and problem solving, but the relationship between these skills and how higher education prepares future software engineers for the workplace is unclear. These programmes should teach students the soft skills required for their careers, but a better understanding of which skills are valued and taught is needed. The perceptions of undergraduate alumni about the value of soft skills and where they were developed are reported on in this preregistered study of computer science and psychology alumni (using the latter as a contrast group). Replicating previous conclusions, computer science alumni rated problem solving, communication, and teamwork as amongst the most important skills, but when examining where these skills originate from, problem solving was strongly associated with education, and teamwork was strongly linked with employment. Communication is weakly associated with education, with influence from employment sources too. Alumni working in security-related careers highlighted that organisational skills were important more so than for the alumni population more broadly. We make recommendations for prioritisation of skill development based on the skills reported by the alumni. We suggest potential ways to encourage learning opportunities that promote scenarios students will find familiar during their careers, better preparing students for the needs of the workplace.

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Effect of daily new cases of COVID-19 on public sentiment and concern: Deep learning-based sentiment classification and semantic network analysis

Che

Wang²,

Zhang³

et al. 2023

J Public Health (Berl.)

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Aim This study explored the influence of daily new case videos posted by public health agencies (PHAs) on TikTok in the context of COVID-19 normalization, as well as public sentiment and concerns. Five different stages were used, based on the Crisis and Emergency Risk Communication model, amidst the 2022 Shanghai lockdown. Subject and Methods After dividing the duration of the 2022 Shanghai lockdown into stages, we crawled all the user comments of videos posted by Healthy China on TikTok with the theme of daily new cases based on these five stages. Third, we constructed the pre-training model, ERNIE, to classify the sentiment of user comments. Finally, we performed semantic network analyses based on the sentiment classification results. Results First, the high cost of fighting the epidemic during the 2022 Shanghai lockdown was why ordinary people were reluctant to cooperate with the anti-epidemic policy in the pre-crisis stage. Second, Shanghai unilaterally revised the definition of asymptomatic patients led to an escalation of risk levels and control conditions in other regions, ultimately affecting the lives and work of ordinary people in the area during the initial event stage. Third, the public reported specific details that affected their lives due to the long-term resistance to the epidemic in the maintenance stage. Fourth, the public became bored with videos regarding daily new cases in the resolution stage. Finally, the main reason for the negative public sentiment was that the local government did not follow the central government’s anti-epidemic policy. Conclusion Our results suggest that the methodology used in this study is feasible. Furthermore, our findings will help the Chinese government or PHAs improve the possible behaviors that displease the public in the anti-epidemic process.

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Skills Expectations in Cybersecurity: Semantic Network Analysis of Job Advertisements

Cited by 7 publications

References 56 publications

Signalling new opportunities? An analysis of UK job adverts for degree apprenticeships

Signalling new opportunities? An analysis of UK job adverts for degree apprenticeships

What's in an undergraduate Computer Science Degree; Alumni perceptions about soft skills in careers

Effect of daily new cases of COVID-19 on public sentiment and concern: Deep learning-based sentiment classification and semantic network analysis

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