What Matters in Hiring Professionals for Global Software Development? A SLR and NLP Criteria Clustering
Globalization stimulated a new era of Global Software Development (GSD), followed by the gig economy (GE) phenomenon, which jointly caused considerable transformations in software development markets, mainly after the recent supply chain disruptions. The cultural and geographic barriers have compell...
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| Veröffentlicht in: | IEEE transactions on engineering management Jg. 71; S. 6291 - 6318 |
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| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
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New York
IEEE
2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0018-9391, 1558-0040 |
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| Abstract | Globalization stimulated a new era of Global Software Development (GSD), followed by the gig economy (GE) phenomenon, which jointly caused considerable transformations in software development markets, mainly after the recent supply chain disruptions. The cultural and geographic barriers have compelled numerous organizations to devise comprehensive digital technologies to overcome this situation. Likewise, the rising unemployment rates led the workforce into short-term contracts or to the on-demand market known as the gig economy. Together with the enhancement in global software development, the organizations found a direction to restore their activities. However, when organizations are immersed in fast-paced environments, selecting skilled professionals is difficult and risky, especially with a lack of qualified professionals. This article identifies the criteria for hiring professionals in the GSD or GE context and proposes a novel approach to clustering them. To do so, we collected the criteria from a broad subject through a systematic literature review, then applied natural language processing with the SBERT algorithm to get the sentence embeddings. Further, we cluster the criteria by applying the k -means algorithm. After that, we innovatively and responsively grouped the clusters formed by repeating the SBERT and k -means algorithms and created its mind map. Our findings disclosed 319 criteria and 6 cluster groups comprising a mind map hierarchical structure. Consequently, these outcomes have pedagogical implications to assist specialists from education institutions in designing new course domains. Such as, it can be helpful to practitioners to assist in hiring professional processes in the GSD or GE context. |
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| AbstractList | Globalization stimulated a new era of Global Software Development (GSD), followed by the gig economy (GE) phenomenon, which jointly caused considerable transformations in software development markets, mainly after the recent supply chain disruptions. The cultural and geographic barriers have compelled numerous organizations to devise comprehensive digital technologies to overcome this situation. Likewise, the rising unemployment rates led the workforce into short-term contracts or to the on-demand market known as the gig economy. Together with the enhancement in global software development, the organizations found a direction to restore their activities. However, when organizations are immersed in fast-paced environments, selecting skilled professionals is difficult and risky, especially with a lack of qualified professionals. This article identifies the criteria for hiring professionals in the GSD or GE context and proposes a novel approach to clustering them. To do so, we collected the criteria from a broad subject through a systematic literature review, then applied natural language processing with the SBERT algorithm to get the sentence embeddings. Further, we cluster the criteria by applying the k -means algorithm. After that, we innovatively and responsively grouped the clusters formed by repeating the SBERT and k -means algorithms and created its mind map. Our findings disclosed 319 criteria and 6 cluster groups comprising a mind map hierarchical structure. Consequently, these outcomes have pedagogical implications to assist specialists from education institutions in designing new course domains. Such as, it can be helpful to practitioners to assist in hiring professional processes in the GSD or GE context. |
| Author | da Silva, Carlos Eduardo Sanches de Souza, Dalton Garcia Borges Santos, Erivelton Antonio dos |
| Author_xml | – sequence: 1 givenname: Erivelton Antonio dos orcidid: 0000-0002-5015-5161 surname: Santos fullname: Santos, Erivelton Antonio dos email: erivelton.santos@gmail.com organization: Federal University of Itajuba, Institute of Industrial Engineering and Management, Itajuba, MG, Brazil – sequence: 2 givenname: Dalton Garcia Borges orcidid: 0000-0002-3872-0594 surname: de Souza fullname: de Souza, Dalton Garcia Borges email: daltonborges@id.uff.br organization: Fluminense Federal University, Institute of Science and Technology, Rio das Ostras, RJ, Brazil – sequence: 3 givenname: Carlos Eduardo Sanches orcidid: 0000-0002-7329-6565 surname: da Silva fullname: da Silva, Carlos Eduardo Sanches email: cadusanches02@gmail.com organization: Federal University of Itajuba, Institute of Industrial Engineering and Management, Itajuba, MG, Brazil |
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| CODEN | IEEMA4 |
| CitedBy_id | crossref_primary_10_1007_s12351_025_00930_4 crossref_primary_10_1057_s41270_025_00413_7 crossref_primary_10_1109_ACCESS_2024_3519256 |
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| SubjectTerms | Algorithms Cluster Clustering Clustering algorithms Companies Context Contracts Criteria criteria selection Germanium Gig economy Globalization hierarchical structure Hiring mind map Natural language processing NLP Organizations Professionals sentence embeddings Skilled workers SLR Software Software algorithms Software development Software industry Systematic review |
| Title | What Matters in Hiring Professionals for Global Software Development? A SLR and NLP Criteria Clustering |
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