Intellectual capital based reputation for market internationalization

2019 ◽  
Vol 21 (1) ◽  
pp. 40-61 ◽  
Author(s):  
Serdar Ulubeyli ◽  
Dilek Yorulmaz
Keyword(s):  
Intellectual Capital ◽  
Structural Equation ◽  
Equation Modeling ◽  
Relational Capital ◽  
Business Services ◽  
Firm Reputation ◽  
Content Type ◽  
Structural Capital ◽  
General Guide ◽  
Knowledge Intensive

Purpose The purpose of this paper is to report the possible impact of intellectual capital (IC) on firm reputation (FR) and investigates if there is a relationship between FR and market internationalization (MI). Design/methodology/approach The data were collected from engineering consultancy firms (ECFs) in Turkey. The study employed structural equation modeling to examine the hypothesized relationships between IC, FR, and MI of ECFs. Findings ECFs with strong human and structural capital can have a good FR. However, healthy relational capital may not lead to the same effect on FR. On the contrary, FR can create high-quality relational capital for ECFs. Lastly, a good FR, based on robust human and structural capital, can provide the success of ECFs’ MI process. Research limitations/implications This model may be analyzed for other knowledge-intensive business services. Also, subsequent researches may investigate potential variations in results about other sectors and geographical areas. Moreover, various constructs may be included in the model. However, a greater number of samples could lead to distinctive outcomes. Practical implications The research may be a general guide for related professionals and their companies to build long-term strategies, given IC, FR and MI. In this respect, they should take into account human and structural capital for MI. Social implications ECFs that can be active in the international arena may maintain their services by financial sustainability. Thus, the advantage may result in a prosperous society. Originality/value The study is first to suggest a model joining IC and FR for the MI process of ECFs. This is suitable for competition of ECFs that are willing to be sustainable firms.

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.

Exploring the role of intellectual capital in supply chain intelligence integration

2018 ◽  
Vol 118 (5) ◽  
pp. 1018-1032 ◽  
Author(s):  
Yongyi Shou ◽  
Wenjin Hu ◽  
Yongmei Xu
Keyword(s):  
Supply Chain ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Design Methodology ◽  
Primary Data ◽  
Equation Modeling ◽  
Relational Capital ◽  
Content Type ◽  
Structural Capital

Purpose The purpose of this paper is to explore the role of intellectual capital (IC) in supply chain intelligence integration (SCII) and the interrelationships of the three components of IC (i.e. human capital (HC), structural capital (SC) and relational capital (RC)) in the supply chain context. Design/methodology/approach This paper conducted an empirical study by using primary data from 389 sample firms. The authors applied structural equation modeling to test the proposed hypotheses. Findings The results indicate that both HC and RC have direct impact on SCII, whereas SC only influences SCII through RC. Originality/value This study evidences that IC is an enabler of SCII. Furthermore, this study reveals the interrelationships of human, structural and RC.

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.

ASSOCIATION BETWEEN INTELLECTUAL CAPITAL AND COMPETITIVE ADVANTAGE: A CASE STUDY ON THE HOTEL INDUSTRY IN BALI PROVINCE, INDONESIA

2019 ◽  
Vol 7 (4) ◽  
pp. 440-449 ◽  
Author(s):  
Partiwi Dwi Astuti ◽  
Anis Chariri ◽  
Abdul Rohman
Keyword(s):  
Human Capital ◽  
Competitive Advantage ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Hotel Industry ◽  
Positive Association ◽  
Equation Modeling ◽  
Relational Capital ◽  
Significant Positive Association ◽  
Structural Capital

Purpose: This study aims to examine the association between intellectual capital and competitive advantage in the hotel industry in Bali Province, Indonesia. The interrelationship between components of intellectual capital –human capital, relational capital, structural capital – were tested in this study, and testing was also carried out for the association of intellectual capital – represented by structural capital – with competitive advantage. Methodology: Data was collected using a self-administered questionnaire. A total of 172 questionnaires were sent to general managers of three-, four- and five-star hotels in Bali Province. A total of 109 questionnaires were returned and could be analysed (a 63% response rate). The analysis was performed using covariance-based structural equation modeling with AMOS 21.0 software. Main Findings: The findings show that between the components of intellectual capital there is a positive and significant association: human capital with relational capital, human capital with structural capital and relational capital with structural capital. The findings also show that structural capital has a significant positive association with a competitive advantage. Implications: Mobilising and utilising human capital as much as possible can create and enhance relational capital and structural capital. Willingness to realise, utilise, compile and develop organizational knowledge enables long-term competitive advantages to be achieved. Novelty: This study examines the association of intellectual capital – facilitated by structural capital – and competitive advantage, which researchers have not done before in the hotel industry.

Metrics for the elements of intellectual capital in an economy driven by knowledge

2014 ◽  
Vol 15 (2) ◽  
pp. 206-226 ◽  
Author(s):  
Mariya Anatolievna Molodchik ◽  
Elena Anatolievna Shakina ◽  
Angel Barajas
Keyword(s):  
Customer Loyalty ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Design Methodology ◽  
Relevant Literature ◽  
Empirical Support ◽  
Equation Modeling ◽  
Content Type ◽  
Structural Capital ◽  
Practical Implications

Purpose – The purpose of this paper is to explore the plausibility of six elements of IC and justify the measurement ability of a set of indicators based on publicly available data for each of the proposed element in order to provide tools to managers for their decision-making process in knowledge management (KM). Design/methodology/approach – Core company's intangibles are combined into six intellectual capital (IC) elements that appear after the division of each of the traditional components (human, structural and relational capital (RC)). The human capital includes management and human resources capabilities (HRC). Structural capital is divided into innovation and internal process capabilities (IPC). RC contains networking capabilities and customer loyalty. In drawing on the relevant literature each element is described through a set of indicators collected from publicly available data. The validity of proposed IC model is justified through structural equation modeling. Each element is tested on a sample of more than 1,650 listed European companies over the period of 2004-2011. Findings – The study gives empirical support of three component IC structure and its decomposition into second level. The findings reveal that implementation of KM plays a significant role for HRC as well as for IPC. Research limitations/implications – The analysis was conducted for a particular sample that may restrict the conclusions. Practical implications – The proposed measurements for intangibles can be applied by any company for benchmarking and comparative analysis in KM. Originality/value – The study provides empirical justification of metrics for intangibles allowing a better route in an economy driven by knowledge.

The structural capital, the innovation and the performance of the industrial SMES

2020 ◽  
Vol 21 (6) ◽  
pp. 913-945 ◽  
Author(s):  
Nicolás Salvador Beltramino ◽  
Domingo García-Perez-de-Lema ◽  
Luis Enrique Valdez-Juárez
Keyword(s):  
Organizational Performance ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Industrial Sector ◽  
Empirical Literature ◽  
Equation Modeling ◽  
Content Type ◽  
Structural Capital ◽  
And Performance ◽  
Practical Implications

PurposeThe objective of this study is to analyze the influence of the structural capital of SMEs in the capacity of innovation and organizational performance, in the context of an emerging country.Design/methodology/approachThe sample consisted of 259 industrial SMEs from the province of Córdoba Argentina. The data was analyzed by Partial Least Squares Structural Equation Modeling (PLS–SEM).FindingsThe study provided evidence that acquisition of information and knowledge management, organizational culture and structure, systems and processes have positive and significant effects on the innovation capacity of SMEs. Only the communication and cohesion component did not show positive and significant results on it. It also showed a positive and significant relationship between the capacity for innovation in processes and performance, contributing to the scarce empirical literature in the context of SMEs.Research limitations/implicationsThe research exposes some limitations that uncover a path for the development of future lines of research. In the first place, the work focuses on the use of a single source of information, the consultation at the managerial level of the company, without considering other representative variables to measure the capacity for innovation. Second, the study covered only companies in the industrial sector and country. Future studies should focus on other sectors and countries.Practical implicationsThe results of the study can have important practical implications for the owners and managers of SMEs. The results offer a vision of the dimensions of structural capital that most influence the innovative capacity of the organization. This is especially useful given that in the context of Argentina there is a low level of knowledge and structural capital is key to being more competitive. The managers of SMEs can thus increase the innovative potential of the company and favor the acquisition of information and knowledge and improve its processes and systems to contribute to the development of innovation capabilities to make SMEs more competitive.Social implicationsThe results obtained can be useful for those responsible for making public policy decisions, since in the knowledge of the economy to maintain a developed state and nation, it is necessary to include as one of the main issues on the national agenda the improvement of intellectual capital of its people to promote the competitiveness of companies.Originality/valueThe research contributes to the development of intellectual capital literature focused on the generation of innovation and performance in the perspective of SMEs in emerging countries.

scholarly journals Structural Relationship among Intellectual Capital Dimensions

2017 ◽  
Vol 10 (1) ◽  
pp. 33
Author(s):  
Marco Nuñez ◽  
Joaquin Nunez ◽  
Roger Alejandro Banegas Rivero ◽  
María Nélida Sánchez Bañuelos
Keyword(s):  
Human Capital ◽  
Experimental Design ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Pearson Correlation ◽  
Equation Modeling ◽  
Relational Capital ◽  
Quantitative Methodology ◽  
Structural Capital ◽  
Degree Of Association

<p class="Abstract"><span lang="EN-US">The purpose of this research is to address the degree of association among intellectual capital dimensions (human capital, structural capital and relational capital)</span><span lang="EN-US">. For this reason, a quantitative methodology and a non-experimental design were used. Using Pearson correlation, structural equation modeling and linear regression we tested the study hypotheses. Through a sample of 103 companies from Cajeme, Mexico, a positive and significant association was found among intellectual capital dimensions, </span><span lang="EN-US">whose results provided empirical evidence that human capital can explain to structural capital and relational capital in organizations.</span></p>

Human resource management systems and intellectual capital: is the relationship universal in knowledge-intensive firms?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dmitri Sokolov ◽  
Elena Zavyalova
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Intellectual Capital ◽  
Equation Modeling ◽  
Content Type ◽  
Hrm Practices ◽  
Structural Capital ◽  
Knowledge Intensive ◽  
The Relationship

PurposeWhile prior research suggests that human resource management (HRM) practices are crucial drivers of a firms' intellectual capital, few studies have tried to deconstruct this relationship and investigate how HRM practices specifically affect intellectual capital resources. Furthermore, prior research treated this relationship as universal and rarely tried to introduce important contingent factors that may alter the mechanisms involved in how HRM practices influence firms' intellectual capital. In this study, the authors examine the relationships between the ability-, motivation- and opportunity-enhancing dimensions of HRM systems and human, social and structural capital and investigate how companies' codification and personalization knowledge management (KM) strategies may alter these relationships.Design/methodology/approachThe data were collected using a telephone survey of 215 knowledge-intensive companies operating in Russia. The paper utilizes partial least squares structural equation modeling (PLS–SEM) to evaluate the measurement model and test hypothesized relationships.FindingsThe findings indicate positive relationships between ability-enhancing practices and firms' human capital between motivation-enhancing practices and firms' human and social capital and between opportunity-enhancing practices and firms' social and structural capital. The authors’ results reveal the limited moderating role of KM strategies in the relationships between HRM and intellectual capital. While a personalization strategy had no impact on any of the proposed relationships, a codification strategy positively moderated the relationship between opportunity-enhancing HRM practices and firms' structural capital.Originality/valueThe study expands the debates in strategic HRM literature by looking “inside” the HRM–intellectual capital relationship. Additionally, the authors’ findings reveal the complexity of the contingent effect that KM strategies of codification and personalization have on the relationship between HRM practices and intellectual capital. Although some of the relationships were not moderated by the KM strategy of the firm, the HRM–intellectual capital relationship cannot be considered fully universal.

scholarly journals Intellectual capital's link with financing opportunities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mara Del Baldo ◽  
Daniele Giampaoli ◽  
Maddalena Macrellino ◽  
Nick Bontis
Keyword(s):  
Empirical Evidence ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Online Survey ◽  
Relational Capital ◽  
Direct Impact ◽  
Content Type ◽  
Structural Capital ◽  
Equation Modelling ◽  
Positive Direct

PurposeThis study aims to provide empirical evidence on the link between intellectual capital and a firm's ability to attract funding and financing in Italian companies.Design/methodology/approachData from 125 Italian companies was collected through an online survey and analysed using structural equation modelling (PLS-SEM).FindingsResults show that structural capital has a positive, direct impact on both human and relational capital. At the same time, relational capital is the only intellectual capital component that has a positive, direct impact on a firm's ability to attract funding and financing. Finally, we found that a firm's ability to attract funding and financing impacts both innovation and financial performance.Originality/valueThis novel study is among the first to provide empirical evidence of how human, relational and structural capital interact with each other and enhance a firm's ability to attract funding and financing.

scholarly journals Knowledge sharing, intellectual capital and organizational results in SMES: are they related?

2020 ◽  
Vol 21 (6) ◽  
pp. 893-911 ◽  
Author(s):  
Mírian Oliveira ◽  
Carla Curado ◽  
Andrea Raymundo Balle ◽  
Aino Kianto
Keyword(s):  
Knowledge Sharing ◽  
Organizational Performance ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Small And Medium Enterprises ◽  
Equation Modeling ◽  
Content Type ◽  
Structural Capital ◽  
Organizational Results ◽  
Medium Enterprises

PurposeThe purpose of this paper is to explore the relations among knowledge sharing (KS), intellectual capital (IC), absorptive capacity (AC), innovation (IN) and organizational performance (OP).Design/methodology/approachThis paper empirically tests a model that uses structural equation modeling (SEM) based on a partial least squares (PLS). The sample is composed of 351 Brazilian and 135 Portuguese enterprises. They are micro, small and medium enterprises.FindingsThe results show that: the relation between KS and AC is partially mediated by IC; the relation between IC and IN is partially mediated by AC and the relation between KS and IN is mediated by AC and IC or both. There are relations among KS, IC, AC, IN and OP.Research limitations/implicationsThe study does not control for industry effects and technological differences among the firms.Practical implicationsThe use of KS mitigates the loss of knowledge associated to employees' retirement or job changes. The knowledge appropriation by the organization (turning human capital (HC) into structural capital (SC)), the knowledge achieved from connections (relational capital, RC) and the trust embedded in an organization's relation with employees are important for AC and IN. Moreover, KS can positively influence all elements of IC. OP depends directly on IN and indirectly on the others constructs.Originality/valueThis study is relevant because it explores the relations among KS, IC, AC, IN and OP in one model. Moreover, it focuses on small and mid-size enterprises (SMEs) with data from two countries.

Sign in / Sign up

Export Citation Format

Share Document