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.

Intellectual capital and supply chain resilience

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Shujaat Mubarik ◽  
Nick Bontis ◽  
Mobasher Mubarik ◽  
Tarique Mahmood
Keyword(s):  
Supply Chain ◽  
Least Squares ◽  
Partial Least Squares ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Structural Capital ◽  
The Impact

PurposeThe main objective of this study is to test whether firms with a higher level of intellectual capital (IC) perform better in terms of their supply chain resilience compared to those with lower levels of IC. Likewise, the study also examines the impact of IC (characterized by human capital, relational capital and structural capital) on supply chain resilience directly and through supply chain learning.Design/methodology/approachData were collected from the 159 processed-food sector firms using a close-ended questionnaire during the corona virus 2019 (COVID-19) pandemic. Partial least squares structural equation modelling (PLS-SEM), partial least squares multigroup analysis (PLS-MGA) and one-way analysis of variance (ANOVA) were used to test a set of hypotheses emanating from a conceptual model of IC and supply chain resilience.FindingsEmpirical results revealed a significant influence of all dimension of IC on a firm's supply chain learning and supply chain resilience. Likewise, findings also exhibit a momentous role of supply chain learning in reinforcing the impact of IC on supply chain resilience. Cross-firm size comparison reveals that supply chain resilience of firms with a higher level of IC performed significantly better than those with lower levels of IC. Firms with a higher level of structural capital had a highly resilient supply chain.Practical implicationsFindings of the study imply that IC and supply chain learning should be considered as a strategic tool and should be strategically developed for uplifting a supply chain performance of a firm. The development of IC and supply chain learning (SCL) not only improves the supply chain resilience of a firm but also can help to integrate the internal and external knowledge for harnessing supply chain resilience.Originality/valueThis research study was conducted during the COVID-19 pandemic which provides a unique setting to examine resiliency and learning.

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.

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.

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.

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.

Reciprocity and commitment in online travel communities

2019 ◽  
Vol 119 (2) ◽  
pp. 397-411 ◽  
Author(s):  
Daniel Belanche ◽  
Luis V. Casaló ◽  
Carlos Flavián ◽  
Miguel Guinalíu
Keyword(s):  
Social Exchange ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Active Participation ◽  
Equation Modeling ◽  
Relational Capital ◽  
Content Type ◽  
High Level ◽  
Online Travel

PurposeWith social exchange theory as a basis, the purpose of this paper is to seek a better understanding of advice processes in online travel communities, which offer crucial advice for travelers’ decisions. It also predicts that relational capital variables (commitment, reciprocity perceptions) moderate the main relationships.Design/methodology/approachData from a web survey of 456 users of online travel communities affirm the scale’s validity and provide the input for structural equation modeling and multisample analyses of the hypotheses.FindingsHigher levels of commitment reinforce the effect of following past advice on passive and active participation intentions. Users’ perceptions of reciprocity in the community strengthen the influence of following past advice on active participation. However, a high level of reciprocity causes users following past advice to reduce their intentions to continue following that advice.Practical implicationsManagement tactics should specify active and passive participation in online travel communities. Specifically, to encourage the creation of high-quality new content, community managers should create interactive environments marked by high levels of reciprocity and commitment.Originality/valueThis research elucidates the role of relational capital variables in advice processes and advances understanding of online travel communities.

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.

Knowledge management strategies, intellectual capital, and innovation performance: a comparison between high- and low-tech firms

2018 ◽  
Vol 22 (8) ◽  
pp. 1757-1781 ◽  
Author(s):  
Marta Buenechea-Elberdin ◽  
Josune Sáenz ◽  
Aino Kianto
Keyword(s):  
Knowledge Management ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Management Strategies ◽  
Innovation Performance ◽  
Primary Data ◽  
Content Type ◽  
Knowledge Resources ◽  
Technological Level

Purpose This study aims to analyse the complementary role of structural and relational capital (as the outcomes of codification and personalisation knowledge management strategies) in renewal capital and innovation in high- and low-tech companies. Design/methodology/approach The primary data, which were collected through a structured questionnaire from 180 Spanish companies, are analysed using structural equation modelling based on partial least squares. Findings Overall, the study offers three fundamental findings. First, it demonstrates the outstanding role of renewal capital as an intellectual capital (IC) component; second, it provides a conceptual analysis of the connection between knowledge management strategies and IC; and third, it highlights the necessity of considering the technological level of the firm as a contingency variable affecting the IC–innovation relationship. Research limitations/implications The study has three apparent limitations: The sample of firms is restricted to Spanish companies, data concerning the main study variables were collected from only one person at each firm, and not all of the possible components of IC were included in the research model. Practical implications Business practitioners can find useful guidelines for making efficient use of knowledge resources when boosting innovation performance, depending on the technological level of their firms. Originality/value Although many studies have tried to disentangle the IC–innovation connection, this study is unique, as it considers knowledge management strategies, a novel combination of IC components and the level of technological sophistication in the same analysis.

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.

Repurchase intention of Korean beauty products among Taiwanese consumers

2017 ◽  
Vol 29 (3) ◽  
pp. 569-588 ◽  
Author(s):  
Massoud Moslehpour ◽  
Wing-Keung Wong ◽  
Kien Van Pham ◽  
Carrine K. Aulia
Keyword(s):  
Structural Equation ◽  
Primary Data ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Key Factors ◽  
Content Type ◽  
Perceived Price ◽  
Influential Variable ◽  
Beauty Products

Purpose The purpose of this paper is to bridge the gap in the literature to examine key factors that influence Taiwanese consumers to repurchase Korean beauty products. Design/methodology/approach This study uses a quantitative approach to test the proposed hypotheses using structural equation modeling. Causal research design is used in this research to identify cause-and-effect relationship among the constructs. Primary data collection is used to gather data. This study provides the better understanding about key factors that influence Taiwanese consumers’ repurchase intention (RI) of Korean cosmetics products. Findings Results show that perceived price (PP) and country of origin (COO) significantly influence word-of-mouth (WOM). PP, COO and WOM significantly influence RI. WOM is the most influential variable toward RI, followed by COO and PP. Originality/value Very few studies have examined a general construct of RI related to beauty product. The findings of this study imply several practical directions for marketers of beauty product industries specifically for Taiwanese consumers. This study helps to know what factors become basic consideration for Taiwanese consumers in repurchasing Korean beauty products. Second, it underscores the role of WOM between the independent variables (PP and COO) and RI as the dependent variable.

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