The value of human capital within Canadian business schools

Velayutham, Ajantha; Rahman, Asheq

doi:10.1108/jic-06-2017-0086

Cited by 11 publications

(10 citation statements)

References 33 publications

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“…Ford (2013) writes that AI could lead to a crisis of unemployment. Velayutham and Rahman (2018) note the primary role of human capital in entrepreneurship. Amankwah-Amoah (2018) proves that the flows of human capital in insolvent organizations could be replaced by stable and predictable AI, which will allow improving the financial position of these companies.…”

Section: Literature Reviewmentioning

confidence: 99%

Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia

Popkova

Sergi

2020

JIC

206

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PurposeThe purpose of this article is to determine the future proportion and variants of usage of human intellect and artificial intelligence (AI) in entrepreneurship of industry 4.0 that fits social entrepreneurship the most. It could be convergence (simultaneous utilization during the same entrepreneurial processes with the emphasis on unique features by the terms of the competition) or divergence (usage during different business processes by the terms of labor division).Design/methodology/approachThe authors determine the influence of usage of human capital and AI on the efficiency of social entrepreneurship. The authors identify the perspective directions of usage of AI in social entrepreneurship and evaluate the readiness and interest in the implementation of these directions of concerned parties. The authors also model the optimal proportions and the variant of usage of human intellect and AI in social entrepreneurship in the conditions of Industry 4.0 in the future (until 2030).FindingsIt is found that social entrepreneurship will use the opportunities of Industry 4.0 for optimization of its activities until 2030, but will refuse from full automatization, using human intellect and AI at the same time.Originality/valueThe most perspective directions of application of AI at social companies are a collection of social goods and services, marketing studies and promotion of social goods and services. Neither convergence nor divergence of human and artificial intellectual capital does not fully conform to the interests of concerned parties. The most preferable (optimal) variant of usage of human intellect and AI in social entrepreneurship in the Industry 4.0 is human intelligent decision support.

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Section: Literature Reviewmentioning

confidence: 99%

Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia

Popkova

Sergi

2020

JIC

206

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“…Davidsson and Honig (2003) argued that human capital could affect the behaviour of individuals and support their entry into nascent entrepreneurship. Moreover, human capital has been proven to have a positive impact on radical creativity (Biedenbach et al, 2018;Wang et al, 2018) and it could play a significant role in a firm's operational and financial performance to earn more income (Velayutham and Rahman, 2018). Higher values in human capital factors, such as education, could lead individuals to behave more efficiently and sustainably (Akram et al, 2018;Salehi and Farzaneh, 2018).…”

Section: Leadership Styles and Human Capitalmentioning

confidence: 99%

The interaction between leadership styles and their followers' human capital: a correspondence analysis approach applied to micro-sized businesses

Al-Awlaqi

Aamer²,

Barahma

et al. 2021

JMD

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PurposeThe purpose of this paper is to investigate the tendency of leaders to select their followers depending on their human capital factors such as age, education level, previous working experience and training.Design/methodology/approachThe participants were 1,388 employees working in a randomly selected sample of 289 small-sized businesses operating in Yemen. A self-reported questionnaire was used to collect the data. The correspondence analysis method was used to explore the tendency of leaders to select their followers depending on their human capital factors.FindingsWe found significant corresponding relationships between leadership styles and the selection of the followers' human capital factors. The passive avoidant style was found to select middle-age, long-experience and fully-trained followers. Transactional style on the other hand was found to select young, middle-level experience and non-trained followers. The transformational leadership style was found to have no selection preferences towards any of the human capital factors except for working experience.Originality/valueAlthough, some previous studies tried to understand the leaders–followers relationships, no one investigated the tendency of leaders to select their followers according to their preferences. This study contributes significantly to the leaders–followers theory by studying the selection process of the leadership style of their followers' human capital factors. Understanding this phenomenon could help explain why some leadership styles are more effective than others, especially in very limited resources contexts such as micro-sized businesses.

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“…Iazzolino, Migliano and Guarnaccia (2019) focused on a new methodology for assessing the market value of enterprises (Quantitative Intellectual Capital) that studies intellectual capital (IC) as a vital factor which influences the overall value. Velayutham and Rahman (2018) examined the relationship between academic employees and their salaries. The analyses performed pointed out a positive correlation between academic human capital and their salaries.…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Intellectual Capital on Job Performance based on Faculty Members’ Perceptions at Universities

Zerr¹,

A’aqoulah²

2021

IBR

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Intellectual capital considers intangible efforts that complete each other. The conversion of efforts and knowledge into valuable assets has come to be known as intellectual capital. This study aims to examine the impact of intellectual capital on the job performance of faculty members at universities. The study used a cross-sectional design. The study population was the academic staff at Jordanian universities. The participants were chosen randomly from different faculties. The study relied on a quantitative method, and the tool for data collection was a questionnaire. The results found that the intellectual capital at universities was high, and the job performance of these universities was also high. In addition, the study found a highly positive impact of intellectual capital on job performance. This study discovers the impact of intellectual capital on the job performance of faculty members at universities. It also draws attention to the importance of intellectual capital in enhancing university performance. This study is useful for decision-makers at universities to maintain their performance and improve the higher-education system in Jordan.

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The value of human capital within Canadian business schools

Cited by 11 publications

References 33 publications

Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia

Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia

The interaction between leadership styles and their followers' human capital: a correspondence analysis approach applied to micro-sized businesses

The Impact of Intellectual Capital on Job Performance based on Faculty Members’ Perceptions at Universities

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