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.

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 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.

The effects of image and price fairness

2016 ◽  
Vol 28 (9) ◽  
pp. 1895-1914 ◽  
Author(s):  
Naehyun (Paul) Jin ◽  
Nathaniel Discepoli Line ◽  
Jerusalem Merkebu
Keyword(s):  
Customer Loyalty ◽  
Structural Equation ◽  
Empirical Support ◽  
Equation Modeling ◽  
Image Management ◽  
Price Fairness ◽  
Research Attention ◽  
Content Type ◽  
Price Perceptions ◽  
Practical Implications

Purpose Despite recent calls in the hospitality and tourism literature for increased research attention in the attractions industry, very little research exists in this important part of the hospitality marketplace. The purpose of this paper is to address the dearth of research in this domain by proposing and empirically testing a model of the relationships among image, price fairness and loyalty in the waterpark segment of the attractions industry. Design/methodology/approach Data were collected from 346 waterpark patrons in South Korea. Structural equation modeling was used to test the hypotheses. Findings The results provide empirical support for the proposed relationship between waterpark image and customer loyalty. Additionally, a set of indirect relationships between these two constructs was identified. Specifically, the intervening effects of delight, service quality and price fairness were established. Research limitations/implications While the overall premise of the work was supported, the results provide evidence that price fairness is evaluated and considered differently in an amusement park context than in other consumption domains. This research suggests that future efforts are necessary to fully understand the complexities of behavior in the attractions industry. Practical implications The findings suggest that successful image management results in a variety of positive outcomes including quality/price perceptions and customer loyalty. To stay competitive, however, waterparks must engage in an ongoing process of image development and maintenance with a particular emphasis on managing expectations. Originality/value The research suggests that while the traditionally acknowledged effects of image on consumer behavior have applicability within the attractions industry, some of the existing nomological relationships established in other operational domains may not be generalizable. As such, our research can be seen as a step toward the development of a unique theory of behavior in the attractions industry.

Understanding the differences of public and private self-service technology

2014 ◽  
Vol 28 (1) ◽  
pp. 60-70 ◽  
Author(s):  
Joel E. Collier ◽  
Daniel L. Sherrell ◽  
Emin Babakus ◽  
Alisha Blakeney Horky
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Public And Private ◽  
Content Type ◽  
Private And Public ◽  
Self Service ◽  
Self Service Technology ◽  
Individual Self ◽  
Practical Implications

Purpose – The purpose of this paper is to explore the potential differences between types of self-service technology. Specifically, the paper explores how the dynamics of public and private self-service technology influence customers' decision to use the technology. Design/methodology/approach – Existing customers of private and public self-service technology were surveyed from the same industry. Using structural equation modeling, the authors examine how relevant self-service constructs influence evaluations and attitudes of customers across both settings. Findings – The analysis reveals that customers' control and convenience perceptions differ across public and private self-service technology. Additionally, customers placed a heavier emphasis on the hedonic or utilitarian evaluation of a service experience based on the type of self-service technology. Practical implications – For managers of self-service applications, understanding the unique differences of public and private self-service technology can aid in the implementation and adoption of the technology. By properly understanding the differences of the self-service types, managers can provide a beneficial experience to the customer. Originality/value – By identifying and describing two distinct categories of SSTs, this study allows managers and researchers to better understand how and why individuals choose to utilize individual self-service technologies. Through understanding the unique dynamics of a public and a private SST experience, retailers can determine the appropriate strategy for customer adoption based on the utilitarian or hedonic functions of the technology.

Technopreneurship intention among nonbusiness students: a quantitative assessment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bahadur Ali Soomro ◽  
Naimatullah Shah
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Quantitative Assessment ◽  
Predictive Power ◽  
New Venture ◽  
Equation Modeling ◽  
Survey Questionnaire ◽  
Content Type ◽  
The Impact ◽  
Practical Implications

PurposeThe present study attempts to identify the predictive power of technopreneurial-related activities (TRAs), technopreneurial self-efficacy (TSE) and technopreneurial motivation (TM) on technopreneurial intention (TE) among the nonbusiness students.Design/methodology/approachA conceptual framework is developed for investigation. A quantitative approach is adopted for this research, and the data are collected from the 282 students of the different public sector universities with a survey questionnaire. The application of structural equation modeling (SEM) is applied to investigate the impact of TRAs, TSE and TM on TE.FindingsThe results of SEM found a positive and significant impact of TRAs, TSE and TM on TE among the nonbusiness students of Pakistan.Practical implicationsThe study would be beneficial for the planners and policymakers of universities to improve modes of technopreneurship. The findings may encourage the students to develop strong beliefs, abilities and skills to start a new venture. The literature of entrepreneurship and technopreneurship may further enrich with empirical evidence of the present study.Originality/valueThe study would make technopreneurs able to deal with society's challenges.

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.

Do tourists’ emotional experiences influence images and intentions in yoga tourism?

2019 ◽  
Vol 74 (3) ◽  
pp. 646-665 ◽  
Author(s):  
Pramod Sharma ◽  
Jogendra Kumar Nayak
Keyword(s):  
Behavioral Intentions ◽  
Structural Equation ◽  
Design Methodology ◽  
Predictive Power ◽  
Equation Modeling ◽  
Emotional Experiences ◽  
Content Type ◽  
Confirmatory Factor ◽  
Using Data ◽  
Practical Implications

Purpose The purpose of this study is to investigate the influence of tourists’ emotional experiences on predicting behavioral intentions via cognitive, affective and overall image in yoga tourism. Design/methodology/approach This study was conducted using data collected from 398 tourists visiting a yoga tourism destination in India. Confirmatory factor analysis and structural equation modeling were used in analyzing the collected data. Findings The study confirmed that specific tourists’ emotions act as a predictor of cognitive, affective and overall image. This in turn influenced the behavioral intentions of tourists. The effect of specific emotions on affective image was stronger than on cognitive image in yoga tourism. Practical implications The marketing campaign of yoga tourism should highlight the special benefits of yoga to activate, stimulate and influence tourists toward yoga tourism, thereby improving the flow of future tourists. It would also help in better positioning and promoting yoga tourism as a unique and distinct niche tourism market. Originality/value This study contributed to the literature by understanding the predictive power of specific emotions on behavioral intentions via, cognitive, affective and overall image in yoga tourism. As far as the authors’ knowledge is concerned, this study is first known attempt to investigate such relationships in tourism literature.

Determinants of intention of using mortgage in financing home ownership in Bauchi, Nigeria

2016 ◽  
Vol 9 (3) ◽  
pp. 320-339 ◽  
Author(s):  
Hamza Usman ◽  
Mohd Lizam
Keyword(s):  
Structural Equation ◽  
Quantitative Research ◽  
Design Methodology ◽  
Home Ownership ◽  
Behavioral Control ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Policy Makers ◽  
Content Type ◽  
Practical Implications

Purpose This paper aims to evaluate the bane of home ownership in Nigeria through mortgage financing by examining the determinants of intention of using mortgage in financing home ownership. Design/methodology/approach The paper adopted a survey quantitative research design. A total of 235 valid questionnaires randomly distributed were retrieved from 300 potential homeowners who were the sample of the research. Partial least squares-structural equation modeling was used for data analysis and hypotheses testing. Findings The findings revealed that religious perception on mortgage was the most significant determinant of intention of using mortgage in financing home-ownership. Subjective norms and perceived behavioral control also have significant effect on intention of using mortgage financing. However, attitude and familiarity/knowledge of mortgage were found not to have a significant effect on intention of using mortgage financing. The determinants cumulatively determined 77.6 per cent (R2 = 0.776) of the variance in intention of using mortgage in financing home ownership. Practical implications The research contributed to knowledge and has practical implications to policy makers, mortgage institutions, investors and the society. Originality/value The paper uniquely explores the bane of home-ownership through mortgage financing by examining potential home-owners’ intention of using mortgage financing. To authors’ knowledge, this is the first paper to evaluate intention of using mortgage financing, at least in Nigeria.

Understanding B2B customer loyalty in the mobile telecommunication industry: a look at dedication and constraint

2015 ◽  
Vol 30 (2) ◽  
pp. 117-128 ◽  
Author(s):  
Shuiqing Yang
Keyword(s):  
Customer Loyalty ◽  
Structural Equation ◽  
Equation Modeling ◽  
Telecommunication Industry ◽  
Mobile Telecommunication ◽  
Theoretical Understanding ◽  
Dual Nature ◽  
Content Type ◽  
Constraint Factors ◽  
Practical Implications

Purpose – This paper attempts to investigate the simultaneous effects of dedication and constraint factors on business-to-business (B2B) customer loyalty in the context of transforming the mobile telecommunication industry. Maintaining a successful inter-organizational relationship with the key players becomes increasingly critical to the performance and competitiveness of the mobile network operator (MNO) in the mobile telecommunication industry. Design/methodology/approach – A dual customer loyalty model which reflected both dedication-based and constraint-based mechanisms is developed and empirically tested against data collected from 129 content providers (CPs) which currently have business relationships with China Mobile. Findings – The structural equation modeling partial least squares analysis indicates that dedication-based (e.g. customer satisfaction, trust in MNO and MNO’s relationship-specific investments) and constraint-based (e.g. switching costs, dependence on MNO and CP’s asset specificity) mechanisms simultaneously, yet differentially, influence CP’s loyalty toward the MNO. Practical implications – To obtain CP’s loyalty, MNOs should consider both the dedication and constraint factors. In particular, they need to focus more on the constraint-based mechanism, as it exerts stronger influences on CP’s loyalty than the dedication-based mechanism. Originality/value – This research advances our theoretical understanding of the dual nature of customer loyalty behavior in the B2B context and offers practical implications for MNOs to leverage these two contrasting causal drivers.

The effects of risk appraisal and coping appraisal on the adoption intention of m-payment

2019 ◽  
Vol 38 (1) ◽  
pp. 21-33
Author(s):  
Shih-Tse Wang
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Credit Cards ◽  
Equation Modeling ◽  
Risk Appraisal ◽  
Content Type ◽  
Response Efficacy ◽  
And Coping ◽  
Practical Implications ◽  
Adoption Intention

Purpose Although debit and credit cards are widely accepted, consumers still have significant concerns pertaining to the risk of the cards’ usage. Mobile payment (m-payment) acts as identification and a virtual card for consumers, and is viewed as more secure than card payments. However, the influence of consumers’ appraisal of debit and credit cards usage and using m-payment on the adoption intention of m-payment is unclear. Using the protection motivation theory, the purpose of this paper is to explore the effect of risk appraisal of using debit or credit cards and coping appraisal of using m-payment on the adoption intention of m-payment. Design/methodology/approach A total of 418 volunteers participated in this study, and structural equation modeling was employed to test the employed conceptual model. Findings The results revealed that risk appraisal (i.e. vulnerability, severity and benefit) of using debit or credit cards did not affect m-payment adoption intention. Moreover, self-efficacy and response efficacy positively affected m-payment adoption intention, whereas response cost negatively influenced m-payment adoption intention. Originality/value Both theoretical and practical implications are presented in this paper for m-payment marketers to develop effective communication strategies for promoting m-payment adoption.

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