Socio-Economic Determinants of the Value Attributed to Human Capital in the Labour Market from the Employee's Perspective

被引:0
|
作者
Ferreiro-Seoane, Francisco-Jesus [1 ]
Villares, Manuel Octavio del Campo [2 ]
Abad-Itoiz, Nerea [3 ]
Ferreiro, Eladio Jardon [4 ]
机构
[1] Univ Santiago De Compostela, Fac Law & Polit Sci & Adm, Dept Appl Econ, Santiago De Compostela 15782, Spain
[2] Univ A Coruna, Fac Ciencias Econ, Dept Appl Econ, La Coruna 15071, Spain
[3] Natl Distance Educ Univ UNED, Fac Econ & Business Adm, Org Studies Dept, Madrid 28015, Spain
[4] Asociac Bienestar & Desarrollo, Barcelona 08012, Spain
关键词
knowledge; training; talent; labour; human capital; ranking; HUMAN-RESOURCE MANAGEMENT; TALENT MANAGEMENT; COMPANIES; SATISFACTION; KNOWLEDGE; CULTURE; CONTEXT; WORK;
D O I
10.3390/admsci14070154
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The aim of this study is to analyse the variables related to knowledge (Talent Management and Training) as a source of human capital in the companies listed in the ranking of the most attractive organisations within the Spanish labour market, published annually by the journal Actualidad Econ & oacute;mica (period 2016-2022). We seek to determine the socio-economic variables impacting this assessment, while also exploring the sustainability of the companies in the ranking. Ten hypotheses are thus examined by descriptive statistics, ANOVA, and multiple linear regression models. The results show a significant relationship between permanence, nationality, professional-scientific-technical sector, size, stock market listing, and both variables representative of knowledge in the ranked companies. Focusing on Talent Management, it is noted that permanence in the ranking (>4 years), Anglo-Saxon nationality, being active in the professional, scientific, and technical sector, and being listed on the stock market all play a part. However, Training differs in that size is a factor that positively influences valuation, whereas the international area is irrelevant. Our findings are a key contribution, as there are no previous applied studies that correlate knowledge in the business environment, the valuation of organisations from the employee's perspective, and several socio-economic variables.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Socio-economic and Ethnic Inequalities in Social Capital from the Family among Labour Market Entrants
    Verhaeghe, Pieter-Paul
    Li, Yaojun
    Van de Putte, Bart
    [J]. EUROPEAN SOCIOLOGICAL REVIEW, 2013, 29 (04) : 683 - 694
  • [2] Socio-economic factors in labour market regulation
    Maxyutova, Ainura
    Kaliyeva, Saule
    Rakhmetova, Rakhila
    Meldakhanova, Marziya
    Khajiyeva, Gulzhakhan
    [J]. MIGRATION LETTERS, 2022, 19 (05) : 561 - 570
  • [3] Syrian Refugees in the Turkish Labour Market: A Socio-Economic Analysis
    Pinedo-Caro, Luis
    [J]. SOSYOEKONOMI, 2020, 28 (46) : 51 - 74
  • [4] Labour Market and Socio-Economic Policy: Features of Mutual Influence
    Zadorozhneva, I., V
    [J]. PROCEEDINGS OF THE INTERNATIONAL SCIENTIFIC CONFERENCE FAR EAST CON (ISCFEC 2018), 2018, 47 : 1324 - 1326
  • [5] THE STRATEGIES OF SELLERS IN MOBILITY MARKET VIEWED FROM SOCIO-ECONOMIC PERSPECTIVE
    Rahayu, Sri
    Irwan
    Ariesta
    [J]. JURNAL ILMIAH PEURADEUN, 2019, 7 (02): : 343 - 356
  • [6] ADHD from a socio-economic perspective
    Bernfort, Lars
    Nordfeldt, Sam
    Persson, Jan
    [J]. ACTA PAEDIATRICA, 2008, 97 (02) : 239 - 245
  • [7] Socio-economic Determinants of Temporary Labour Migration in Western Jharkhand, India
    Sucharita, Sanhita
    [J]. MILLENNIAL ASIA, 2020, 11 (02) : 226 - 251
  • [8] Socio-economic Risks of Atypical Employment Relationships: Evidence from the German Labour Market
    Giesecke, Johannes
    [J]. EUROPEAN SOCIOLOGICAL REVIEW, 2009, 25 (06) : 629 - 646
  • [9] Exploring Determinants of Population Ageing in Northeast China: From a Socio-Economic Perspective
    Yang, Ling
    Zhao, Kai
    Fan, Zhen
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (21)
  • [10] NEG Methodology in Socio-Economic Development and EU Labour Market Research
    Mastalerz-Kodzis, Adrianna
    Pospiech, Ewa
    [J]. MATHEMATICAL METHODS IN ECONOMICS (MME 2017), 2017, : 436 - 441