Global Technology Talent Development in Emerging Markets: A Conceptual Framework for Preparing Software Professionals for International Employment

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@article{1723088,
      author = {Miracle Wikiri},
      title = {Global Technology Talent Development in Emerging Markets: A Conceptual Framework for Preparing Software Professionals for International Employment},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {3},
      number = {5},
      pages = {651-671},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1723088.pdf},
      abstract = {Background: The weak alignment between training, demonstrated competence, employer expectations, and access to international work limits employment readiness and credible access to international opportunities. Purpose: This conceptual review integrates research and institutional guidance published to date to explain the problem and develop an actionable framework for emerging-market software professionals seeking international employment. Method: The paper uses an integrative review organized around demand definition, evidence, interaction, decisions, transition, and feedback. Results: The synthesis identifies six recurring requirements: clear demand signals, job-relevant evidence, accessible communication, multidimensional matching, transition support, and governed learning. It proposes a five-stage model comprising Market-signal scanning, Competency mapping, Evidence-based preparation, Opportunity intermediation, Outcome feedback. The model pairs each stage with controls and measures, including demand stability, evidence quality, conversion, time to contribution, sustained performance, and fairness indicators. Conclusion: Global technology talent development should be managed as a connected socio-technical system. Organizations should pilot the model in a bounded role family, compare outcomes with a baseline, examine unequal effects, and revise the process before scaling.},
      keywords = {global technology talent development, workforce systems, talent pipelines, skills assessment, organizational performance, responsible technology},
      month = {November},
  }