Shaping human capital in software development teams: the case of mentoring enabled by semantics

Shaping human capital in software development teams: the case of mentoring enabled by semantics

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In current organisations, the importance of knowledge and competence is unquestionable. In a scenario in which knowledge workers perform their duties in knowledge-intensive organisations, mentoring has emerged as an efficient practice for the development of these personnel. On the other hand, the convergence of information technology (IT) and communication technologies and the rapid evolution of the internet has been one of the most influential factors in human resources management, and the advent of semantic technologies presents novel opportunities for the improvement of personnel development, including semantics. This study presents a solution based on semantic technologies which utilises different personal and professional data to carry out pair matching of mentors and protégés.


    1. 1)
      • Alternatives to traditional mentoring in fostering career success
    2. 2)
      • Recruiting, selecting and motivating human resources: methodological analysis and case studies applications
    3. 3)
      • Human resource management on social capital
    4. 4)
      • Trust building process for global software development teams. a review from the literature
    5. 5)
      • IT identifying technical competences of IT professionals: the case of software engineers
    6. 6)
      • Mentoring programmes: a study of the Spanish software industry
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      • Breaking the boundary between personal- and work-life skills: parenting as a valuable experience for knowledge workers
    8. 8)
      • Building knowledge sharing communities using team expertise access maps
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      • A quantitative review of mentoring research: test of a model
    10. 10)
      • A reconceptualization of mentoring and sponsoring
    11. 11)
      • A comparative study of mentoring among men and women in managerial, professional, and technological positions
    12. 12)
      • Perspectives on mentoring
    13. 13)
      • Relationship of career mentoring and socioeconomic origin to managers’ and professionals’ early career progress
    14. 14)
      • Formal and informal mentorships: a comparison on mentoring functions and contrast with nonmentored counterparts
    15. 15)
      • Mentorship: a career training and development tool
    16. 16)
      • The mentor connection
    17. 17)
      • Sex differences in the perceived importance of mentoring functions
    18. 18)
      • A study of mentor-protégé relationships in large public accounting firms
    19. 19)
      • Burden or blessing? Expected costs and benefits of being a mentor
    20. 20)
      • Linking mentoring and social capital: implications for career and organization development
    21. 21)
      • Formal mentoring: a human resource management practice that supports knowledge transfer across projects
    22. 22)
      • Not all relationships are created equal: critical factors of high-quality mentoring relationships
    23. 23)
      • Backward learning. Let your younger workers take the mentoring lead
    24. 24)
      • Moving forward with reverse mentoring
    25. 25)
      • Reverse intergenerational learning: a missed opportunity?
    26. 26)
      • E-mentoring: implications for organizational learning and development in a wired world
    27. 27)
      • E-mentoring: solving the issue of mentoring across distances
    28. 28)
      • There's magic in the web: e-Mentoring for women's career development
    29. 29)
      • Use of electronic communication to develop mentor-protégé relationships between adolescent and adult AAC users: pilot study
    30. 30)
      • Beyond the organisation: the design and management of E-mentoring systems
    31. 31)
      • Editorial: revisiting the (machine) semantic web: the missing layers for the human semantic web
    32. 32)
      • The semantic web
    33. 33)
    34. 34)
      • Semantic-web-based knowledge management
    35. 35)
      • Web 3.0: chicken farms on the semantic web
    36. 36)
    37. 37)
      • The semantic learning organization
    38. 38)
      • Semantic web applications: a framework for industry and business exploitation – what is needed for the adoption of the semantic web from the market and industry
    39. 39)
      • Testing for competence rather than for ‘intelligence
    40. 40)
      • Semantic software metrics computed from natural language design specifications
    41. 41)
      • BMR: benchmarking metrics recommender for personnel issues in software development projects
    42. 42)
      • ProLink: a semantics-based social network for software project
    43. 43)
      • Extending grammars and metamodels for reuse: the reuseware approach
    44. 44)
      • Towards a software maintenance methodology using semantic web techniques and paradigmatic documentation modeling
    45. 45)
      • Social global repository: using semantics and social web in software projects
    46. 46)
      • Visual ontology alignment for knowledge sharing and reuse
    47. 47)
      • Ontological approach for the semantic recovery of traceability links between software artefacts
    48. 48)
      • Learning processes and processing learning: from organizational needs to learning designs
    49. 49)
      • SemCASS: technical competence assessment within software development teams enabled by semantics
    50. 50)
      • An ontology-based competency model for workflow activity assignment policies
    51. 51)
    52. 52)
      • Sustainable competency-oriented human resource development with ontology-based competency catalogs, eChallenges
    53. 53)
      • Ontologies: a silver bullet for knowledge management and electronic commerce
    54. 54)
      • OIL: an ontology infrastructure for the semantic web
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    56. 56)
      • Ontology. An introduction, Blackwell guide to the philosophy of computing and information
    57. 57)
      • Enhancing learning objects with an ontology-based memory
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      • Three tier client/server architecture: achieving scalability, performance, and efficiency in client server applications
    59. 59)
      • SPARQL query language for RDF’, 2008
    60. 60)
      • SOLAR: social link advanced recommendation system
    61. 61)
      • SEMO: a framework for customer social networks analysis based on semantics
    62. 62)
      • A qualitative study of hard decision making in managing global software development teams
    63. 63)
      • An experimental application of the Delphi method to the use of experts

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