scholarly journals Translating green strategic intent into green process innovation performance: the role of green intellectual capital

2021 ◽  
Vol 22 (7) ◽  
pp. 43-67
Author(s):  
Jirapol Jirakraisiri ◽  
Yuosre F. Badir ◽  
Björn Frank
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Relational Capital ◽  
Green Process ◽  
Organizational Capital ◽  
Content Type ◽  
Strategic Intent ◽  
Positive Effects ◽  
Green Strategy ◽  
Green Process Innovation

PurposeMany firms struggle to implement strategies that can successfully enhance the environmental sustainability of their processes. Drawing on the theories of green intellectual capital and complementary assets, this study develops a model describing the mechanism whereby firms can translate a green (i.e., environmental) strategy into a superior green process innovation performance (GPIP).Design/methodology/approachRegression analysis of multi-source survey data collected from 514 managers at 257 firms (257 top management members and 257 safety or environmental managers) was used to test the hypotheses.FindingsA firm's green strategic intent has positive effects on the three aspects of green intellectual capital (i.e., human, organizational and relational capital). In turn, these three aspects have positive effects on GPIP. Moreover, green organizational capital positively moderates the effect of green relational capital on GPIP, whereas it negatively moderates the effect of human capital on GPIP.Research limitations/implicationsIn order to implement a green strategy successfully, especially in polluted industries such as the chemical industry, managers need to develop not only the firm's tangible resources but also its intangible resources. The more they invest in green organizational capital, the higher the level of GPIP that can be achieved. On average, a firm's green human capital is more important than its organizational and relational capital. Moreover, its organizational capital helps capture the benefits of its relational capital, but it impairs the creativity of its human capital.Originality/valueThe authors contribute to the literature on green strategy implementation by suggesting that green intellectual capital plays a mediating role in the relationship between a firm's green strategic intent and GPIP.

scholarly journals INTELLECTUAL CONTENT OF GREEN GROWTH IN CONDITIONS OF SUSTAINABLE DEVELOPMENT

2021 ◽  
Author(s):  
Kristina Dryhola ◽  
◽  
Alona Khlivitskaya ◽  
Daria Vydai ◽  
◽  
...  
Keyword(s):  
Sustainable Development ◽  
Human Capital ◽  
Intellectual Capital ◽  
Gradual Transition ◽  
Relational Capital ◽  
Organizational Capital ◽  
Green Growth ◽  
Intellectual Activity ◽  
Intellectual Content ◽  
Stage Of Development

The article is devoted to the analysis of the essence of the intellectual content of green growth in the framework of the global course of mankind for sustainable development. The gradual transition in scientific works from information economy and knowledge economy to intellectual economy, which is characterized by directing human intellectual activity to environmentally friendly activities aimed at achieving global goals of sustainable development, has been analyzed. It has been noted that the intellectual economy is the foundation of green growth and the importance of knowledge, skills, theoretical and practical competencies, creativity, which act as a driver of development of green sectors of the economy has been highlighted. It has been determined that there are nine types of human capital, of which the intellectual plays a leading role at the present stage of development of socio-economic processes. In the conditions of building a green economy, capital acquires green features, which is manifested through green intellectual capital, the main components of which are green human capital, green organizational capital and green relational capital. The interaction of green human and green organizational capital forms green relational capital, which is expressed in the form of green jobs, inclusiveness and gender equality. It has been noted that in the long run the development of green intellectual capital leads to the effect of decoupling, which is manifested in the gap between indicators of economic prosperity and environmental degradation. That is why strategies for the development of green intellectual capital should be the basis for the development of countries around the world to achieve global goals of sustainable development in terms of green growth.

Intellectual capital and knowledge generation: an empirical study from Colombian public universities

2020 ◽  
Vol 21 (6) ◽  
pp. 1053-1084
Author(s):  
John Salinas-Ávila ◽  
René Abreu-Ledón ◽  
Johnny Tamayo-Arias
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Online Survey ◽  
Public Universities ◽  
Knowledge Generation ◽  
Equation Modeling ◽  
Relational Capital ◽  
Content Type ◽  
Structural Capital

PurposeThe purpose of this paper is to provide empirical evidence on the relationships between the dimensions of intellectual capital (IC) and the generation of knowledge in public universities.Design/methodology/approachAn online survey was developed and administered in Colombia. A total of 209 researchers participated in the study. Data were collected through IC measurements concerning the research mission of the universities. Scientific publications from the respondents and the citations received were taken as proxies for the generation of knowledge. To test the hypotheses, structural equation modeling was used.FindingsHypotheses proposing a positive association between the dimensions of IC, namely, human capital, structural capital, and relational capital, and the generation of knowledge were tested. The findings highlight that human capital is indirectly and positively related to the generation of knowledge through relational capital, as well as through the path of structural capital-relational capital.Practical implicationsThe study suggests that directors of research at universities could improve the results of this activity by analyzing and understanding the dimensions of IC that contribute to the development of scientific capacities and the generation of knowledge.Originality/valueThis is one of the first studies that has examined the interrelationships between the dimensions of IC at universities and the generation of knowledge.

The effects of self-reflection on individual intellectual capital

2020 ◽  
Vol 21 (6) ◽  
pp. 1107-1124
Author(s):  
Zhining Wang ◽  
Shaohan Cai ◽  
Mengli Liu ◽  
Dandan liu ◽  
Lijun Meng
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Equation Modeling ◽  
Relational Capital ◽  
Content Type ◽  
Self Reflection ◽  
Structural Capital ◽  
The Relationship ◽  
Individual Human ◽  
Three Components

PurposeThe aim of this paper is to develop a tool measuring individual intellectual capital (IIC) and investigate the relationship between self-reflection and IIC.Design/methodology/approachThis study developed a theoretical model based on social cognitive theory and the literature of self-reflection and intellectual capital (IC). This research collected responses from 502 dyads of employees and their direct supervisors in 150 firms in China, and the study tested the research model using structural equation modeling (SEM).FindingsThe results indicate that three components of self-reflection, namely, need for self-reflection, engagement in self-reflection and insight, significantly contribute to all the three components of IIC, such as individual human capital, individual structural capital and individual relational capital. The findings suggest that need for self-reflection is the weakest component to impact individual human capital and individual relationship capital, while insight is the one that mostly enhances individual structural capital.Practical implicationsThis paper suggests that managers can enhance employees' IIC by facilitating their self-reflection. Managers can develop appropriate strategies based on findings of this study, to achieve their specific goals.Originality/valueFirst, this study develops a tool for measuring IIC. Second, this study provides an enriched theoretical explanation on the relationship between self-reflection and IIC – by showing that the three subdimensions of self-reflection, such as need, engagement and insight, influence the three subdimensions of IIC, such as individual human capital, individual structural capital and individual relational capital.

Intellectual capital role in ambidexterity emergence

2017 ◽  
Vol 18 (4) ◽  
pp. 733-744 ◽  
Author(s):  
Susana Fernández-Pérez de la Lastra ◽  
Natalia García-Carbonell ◽  
Fernando Martín-Alcázar ◽  
Gonzalo Sánchez-Gardey
Keyword(s):  
Social Capital ◽  
Human Capital ◽  
Intellectual Capital ◽  
Organizational Capabilities ◽  
Integrative Model ◽  
Alternative View ◽  
Organizational Ambidexterity ◽  
Organizational Capital ◽  
Content Type ◽  
Multilevel Perspective

Purpose Considering the inconclusive results in the literature on the way organizations create ambidextrous organizational capabilities, the purpose of this paper is to present an alternative theoretical model of three different paths through which ambidexterity is built. From a multilevel perspective, the model describes how specific combinations of the facets of intellectual capital – human, social and organizational capital – can synergistically work to reach ambidexterity. Design/methodology/approach The study is based on main arguments from multilevel and intellectual capital literature. The multilevel approach allows the authors to consider a broader perspective to define three specific modes to create ambidextrous capabilities. Additionally, the intellectual capital literature completes the model, with the input (human capital), mechanisms (social capital) and the infrastructure (organizational capital) needed to develop ambidexterity. With the integration of both frameworks, the model explains how different types of ambidexterity are generated at diverse firm levels – individual, group and organizational, following different and complementary paths. Findings This research goes beyond the traditional arguments on how organizations develop simultaneously exploration and exploitation activities, proposing an integrative model of three complementary modes: path 1 (ambidexterity based on individual human capital); path 2 (ambidexterity through social capital) and path 3 (ambidexterity through organizational capital). These paths link organizational levels in organizations, showing the accumulative process of ambidexterity from a multilevel perspective. Originality/value The paper offers an alternative view expanding the ongoing discussion in the ambidexterity field. There is a lack of configurational models in the literature that describe, from a synergistic point of view, these complementary paths to achieving organizational ambidexterity. This approach contributes to explaining that not only individual ambidextrous human capital is needed to generate organizational ambidexterity, but also that specialist human capital could be a source of ambidexterity.

Intellectual capital for recovering patient centrality and ensuring patient satisfaction in healthcare sector

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fabio Fiano ◽  
Marco Sorrentino ◽  
Francesco Caputo ◽  
Margherita Smarra
Keyword(s):  
Human Capital ◽  
Patient Satisfaction ◽  
Intellectual Capital ◽  
Healthcare Management ◽  
Healthcare Sector ◽  
Primary Data ◽  
Relational Capital ◽  
Content Type ◽  
Structural Capital

PurposeWith the aim to enrich the ongoing debate about healthcare management, the paper has a twofold intent: [1] to emphasise the interpretative contribution that intellectual capital can provide to a better understanding of the relevant role of patients in the healthcare sector and [2] to investigate the relationships between the three main dimensions of intellectual capital – human capital, relational capital and structural capital – and patient satisfaction in the healthcare sector.Design/methodology/approachThe intellectual capital framework is contextualised in the healthcare sector, and the relationships among patient evaluations of human capital, relational capital and structural capital and patient satisfaction are tested via structural equation modelling (SEM) using primary data collected with reference to a sample of 561 Italian patients involved in post survey treatments in three Italian hospitals.FindingsThe role of intellectual capital in supporting a better understanding of processes and dynamics of patient satisfaction in the healthcare sector is underlined. The empirical research provides possible guidelines for recovery patients centrality in healthcare management.Originality/valueThe paper shows how an intellectual capital framework can support a better understanding and management of dynamics and processes through which patient centrality and satisfaction in healthcare management can be enforced.

The impact of intellectual capital on SMEs’ performance in China

2019 ◽  
Vol 20 (4) ◽  
pp. 488-509 ◽  
Author(s):  
Jian Xu ◽  
Jingsuo Li
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Manufacturing Sector ◽  
Operating Efficiency ◽  
High Tech ◽  
Relational Capital ◽  
Content Type ◽  
Structural Capital ◽  
Capital Efficiency ◽  
The Impact

Purpose The purpose of this paper is to explore and compare the extent of intellectual capital (IC) and its four components in high-tech and non-high-tech small and medium-sized enterprises (SMEs) operating in China’s manufacturing sector, and to examine the relationship between IC and the performance of high-tech and non-high-tech SMEs. Design/methodology/approach The study uses the data of 116 high-tech SMEs and 380 non-high-tech SMEs listed on the Shenzhen stock exchanges during 2012–2016. The modified value added intellectual coefficient (MVAIC) model is used incorporating four components, namely, capital employed, human capital, structural capital and relational capital. Finally, multiple regression analysis is utilized to test the proposed research hypotheses. Findings The findings of this paper reveal that there is significant difference in MVAIC between high-tech and non-high-tech SMEs. The results further indicate a positive relationship between IC and financial performance of high-tech and non-high-tech SMEs. Specifically, IC is positively associated with firms’ earnings, profitability and operating efficiency. Additionally, capital employed efficiency, human capital efficiency and structural capital efficiency are found to be the most influential value drivers for the performance of two types of SMEs while relational capital efficiency possesses less importance. Practical implications This paper will provide a valuable framework for executives, managers and policy makers in managing IC within the Chinese context. Originality/value To the best knowledge of the authors, this is the first empirical study that has been conducted on high-tech and non-high-tech SMEs in the manufacturing sector in China.

scholarly journals Managerial ability and intellectual capital disclosure

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Javad Rajabalizadeh ◽  
Javad Oradi
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Audit Committee ◽  
Negative Relationship ◽  
Relational Capital ◽  
Alternative Measure ◽  
Managerial Ability ◽  
Content Type ◽  
Structural Capital ◽  
The Relationship

PurposeWhile prior research in the area of intellectual capital (IC) disclosure has mainly focused on firm, board and audit committee characteristics, there is little research on whether managerial characteristics are associated with IC disclosure. This study aims to examine the relationship between managerial ability (MA) and the extent of IC disclosure.Design/methodology/approachThe study sample comprises 1,098 firm-year observations of Iranian listed firms during 2012–2017. This study uses the checklist developed by Li et al. (2008) and adopts a content analysis approach and calculates the IC disclosure index in 62 dimensions within three categories: human capital, structural capital and relational capital. To measure MA, this study uses the managerial ability score (MA-Score) developed by Demerjian et al. (2012) for Iranian firms.FindingsThe results show that MA is significantly and negatively associated with the overall extent of IC disclosure and all the three components of IC (human capital, structural capital and relational capital). Further analysis shows that the interaction between MA and firm performance is positive and significant, suggesting that the negative relationship between MA and IC disclosure is less pronounced for high-performing firms. This study addresses the potential endogeneity issue by using the propensity score matching approach. The findings are also robust to the alternative measure of MA.Originality/valueThis study contributes to both the MA literature and the IC disclosure literature. To the best of the authors' knowledge, this study is the first to provide empirical evidence on the relationship between MA and IC disclosure.

scholarly journals ANALISIS PRAKTIK PENGUNGKAPAN INTELLECTUAL CAPITAL STUDI PADA PERUSAHAAN SUB SEKTOR INDUSTRI OTOMOTIF

2020 ◽  
Vol 3 (2) ◽  
pp. 191-199
Author(s):  
Masiyah Kholmi ◽  
Endang Dwi Wahyuni ◽  
Febri Heni
Keyword(s):  
Human Capital ◽  
Content Analysis ◽  
Intellectual Capital ◽  
Automotive Industry ◽  
Annual Report ◽  
Relational Capital ◽  
Organizational Capital ◽  
Relational Competence ◽  
Internal Structures ◽  
A Company

The aim of this study is to analyze the intellectual capital disclosure practices by Indonesian automotive industry. Content analysis was used to analyze the annual report for one the year 2016. This research used Guthrie at., el.  scheme of intellectual capital components. In this scheme, IC was categorized into 3 groups; relational competence (human capital: 8th items).internal structures (organizational capital: 15th items); and external structures (customer/relational capital: 13th items); The result shows that percentage of IC disclosure by Indonesian automotive industry was high relatively In 2016, there were some attributes that not disclosed yet by a company, it was ’copyright’. There was no company that discloses all of the 36th components of IC in their annual report. The maximum number of the attribute that disclosed by a company was 31.

The impact of intellectual capital on innovation generation and adoption

2016 ◽  
Vol 17 (4) ◽  
pp. 675-695 ◽  
Author(s):  
Mir Dost ◽  
Yuosre F. Badir ◽  
Zeeshan Ali ◽  
Adeel Tariq
Keyword(s):  
Social Capital ◽  
Human Capital ◽  
Competitive Advantage ◽  
Intellectual Capital ◽  
Positive Impact ◽  
Innovation Adoption ◽  
Organizational Capital ◽  
Content Type ◽  
The Impact ◽  
Innovation Generation

Purpose The purpose of this paper is to measure the separate and interrelated effects of three aspects of intellectual capital (human, social and organizational capital) on innovation generation and adoption. Design/methodology/approach Data were collected from 318 respondents’ of chemical firms. This study used multiple regression analysis to analyze the influence of human, organizational and social capital on innovation generation and adoption. Findings Results suggest that organizational capital exerts significantly positive impact on innovation adoption. In the same vein, social capital exerts significantly positive impact on both innovation generation and adoption. Moreover, interaction of social capital further strengthens the influence of organizational capital on innovation adoption. Contrary to hypotheses, human capital does not exert significant influence on innovation generation. However, interaction of social capital further strengthens the impact of human capital on innovation generation. Practical implications Findings offer implications for modern managers to utilize the knowledge that resides in firm’s different locations. It also enhances managerial ability to identify and apply these knowledge resources to expedite innovation generation and adoption. Originality/value Innovation generation and adoption plays a critical role in firm’s acquiring success and competitive advantage, yet the influence of intellectual capital on innovation generation and adoption mostly remains as unexplained puzzle. This study contributes to knowledge-innovation literature by examining the missing link between different types of knowledge and innovation generation and adoption. It also helps to comprehend the enabling factors through which firms capitalize upon, and obtain, a sustainable competitive advantage.

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