Identification of knowledge assets in construction projects and their impact on project performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Harish Kumar Singla ◽  
Abhishek Shrivas ◽  
Ashu Sharma
Keyword(s):  
Human Capital ◽  
Construction Projects ◽  
Conceptual Models ◽  
Construction Project ◽  
Project Performance ◽  
Relational Capital ◽  
Knowledge Assets ◽  
Content Type ◽  
Structural Capital ◽  
Building Process

PurposeThe previous researchers have identified human capital, relational capital and structural capital as knowledge assets in knowledge-driven organizations. The current study is an attempt to identify and validate the knowledge assets in construction projects. The study also aims to understand the interrelation of these knowledge assets and their impact on project performance through the development of a conceptual model.Design/methodology/approachThe study is divided into three phases. In phase I, the constructs of “knowledge assets” and “project performance” in construction projects are identified using the exploratory factor analysis. In phase II, these constructs are validated using confirmatory factor analysis. Two separate surveys are conducted for phase I and phase II, respectively. In phase III, the authors develop two conceptual models based on the literature review and two construction project cases in India. The models examine the inter-relationship of knowledge assets and measures their impact on project performance. The models are empirically tested using the responses of the second survey through a structural equation model.FindingsThe study extracts four knowledge asset constructs and one performance construct which are named human capital, structural capital, relational capital, human capital capacity building process and project performance, respectively. The study finds that both the conceptual models are statistically excellent fit. The results of the models suggest that relational capital and structural capital have a direct positive impact on project performance, whereas human capital has an indirect effect on project performance mediated through relational capital, structural capital and human capital capacity building process.Research limitations/implicationsThe items for knowledge asset constructs and measurement of project performance are moderated by experts, working in construction projects in India, hence the process may contain subjective bias. Further, two construction project cases were selected by authors in the study that originate from India.Practical implicationsThe study has implications for the project executors (contractors) as well as for project owners. The contractors must maintain healthy relations with all the stakeholders in a project like a client, suppliers, architects, etc. They must develop systems that are people-friendly to avoid the problems of time and cost overruns in projects. The owners must also maintain healthy relations. This can result in a win-win situation for both parties and can lead to superior project performance.Originality/valueThe study develops and empirically tests two conceptual models that explain the interrelations of knowledge assets and how it benefits the construction project performance in India. Therefore, the generalization of the results is difficult; however, the results can be replicated in projects with similar settings.

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.

Exploring influential factors leading to the poor performance of public construction project in Ethiopia using structural equation modelling

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benti Gadisa ◽  
Hong Zhou
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Construction Project ◽  
Poor Performance ◽  
Project Performance ◽  
Influential Factors ◽  
Project Design ◽  
Content Type ◽  
Factors Affecting ◽  
Public Construction

PurposeIt is well recognized that the construction industry is characterised by inefficient and ineffective service delivery due to various causative factors. Thus this study aims to examine the influential factors affecting public construction project performance in Ethiopia to improve the industry's service delivery.Design/methodology/approachFrom the extensive literature reviewed, 58 potential factors affecting construction project performance have been compiled. Based on the evidence accumulated, the conceptual model of this paper has been developed. By using survey questionnaires, valuable data were collected from the construction industry professionals in Ethiopia; analysed and interpreted with the use of both SPSS and AMOS software.FindingsIt is concluded that failure factors related to the “performance” of the contractor, the “capability” of the owner, the “project design-procurement process,” and project contract management can significantly contribute to the poor performance of public construction projects in Ethiopia. Ten key factors include inadequate contractor capacity, weak project site management and supervision, weak project management skills and capabilities of the owner, additional work orders, delayed payment, lack of comprehensive project plans between parties and incomplete project design, rising material prices, ineffective project schedules, and cost management, rising market prices and devaluation of the currency.Research limitations/implicationsThe scope of this study confined to public projects in Ethiopia. It suggests that further research needs to consider public and private construction from a comprehensive perspective in the developing countries.Practical implicationsIt provides practitioners with information and guidance on the factors that affect the performance of construction projects.Originality/valueIt provides inclusive evidence related to many factors that affect the performance of public construction projects.

The effects of cost-based contractor selection on construction project performance

2015 ◽  
Vol 20 (3) ◽  
pp. 235-251 ◽  
Author(s):  
Olugbenga Jide Olaniran
Keyword(s):  
Construction Projects ◽  
Construction Project ◽  
Poor Performance ◽  
Project Performance ◽  
The Body ◽  
Contractor Selection ◽  
Content Type ◽  
Body Of Knowledge ◽  
The Impact ◽  
Practical Implications

Purpose – This paper aims to present the outcome of a study conducted on the impact that cost-based contractor selection (CBCS) might have on construction project performance. Several criteria are normally used to select construction contractors, competitiveness of the quoted prices of the prospective contractors is one such important criterion. However, choosing contractors solely on the basis of the quoted price may cause poor performance in the construction project. Design/methodology/approach – A quantitative approach was adopted. A critical review of the literature was conducted to develop 50 survey questions relating to the problems that CBCS might have on construction project performance. Findings – Analysis of close data obtained from the survey of construction experts showed the nature of project performance problems associated with the CBCS to be project time delays and non-compliance with construction standards. The major reason they occurred was found to be the reduced profit margin for contractors. Research limitations/implications – The research sample size is small and restricted to construction professionals in Brunei. Practical implications – The study findings present updated information to construction professionals about the inherent impacts of choosing contractors based on cost. Furthermore, this study enhances the approach of selecting contractors within the construction industry. Originality/value – The study made strong and unique arguments about the problems associated with choosing construction contractors based on cost. This study contributes to the body of knowledge relevant to the management of construction projects.

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.

Impact of COVID-19 on project performance in the UAE construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Sami Ur Rehman ◽  
Muhammad Tariq Shafiq ◽  
Muneeb Afzal
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Construction Project ◽  
Health And Safety ◽  
Project Performance ◽  
Content Type ◽  
Government Institutions ◽  
Depth Analysis ◽  
The Government ◽  
The Impact

Purpose The coronavirus disease 2019 (COVID-19) pandemic has affected the global economy and, thus, the global construction industry. This paper aims to study the impact of COVID-19 on construction project performance in the United Arab Emirates (UAE). Design/methodology/approach This study adopted a qualitative and exploratory approach to investigate the impact of COVID-19 and its policies on project performance in the UAE construction industry in critical areas of the project management body of knowledge (e.g. schedule, cost, resources and contracts). Semi-structured interview questions were asked from ten construction professional to obtain valuable insights into the pandemic’s effects on the UAE construction industry and the effectiveness of policies implemented to rectify the damage and identify the industry’s new normal. Findings The findings indicate that the construction industry faced several challenges such as schedule delays, disrupted cashflows, delayed permits, approvals and inspections, travel restrictions, serious health and safety concerns, material and equipment shortages, among others which hindered the timely delivery of construction projects. It also indicates that efforts made by the government institutions and the construction industry of the UAE such as economic support programs, digitization of processes, fee and fine waivers, health facilities, among other statutory relaxations proved effective in supporting the construction industry against the adverse effects of the pandemic. Research limitations/implications The research findings are limited to the literature review and ten semi-structured interviews seeking an expert’s opinion from industry professionals working in the UAE construction industry. The research team did not get access to project documents, contracts and project progress reports which may be required to validate the interview findings, and to perform an in-depth analysis quantifying the impact of COVID 19 on construction projects performance, which is a limitation of this research. Practical implications The implication is that, owing to the imposed lockdowns and strict precautionary measures to curb the rapid spread of the pandemic, smooth execution of the construction project across the country was affected. The government institutions and stakeholders of the construction projects introduced and implemented various techniques and solutions which effectively handled the implications of the COVID-19 pandemic on the construction industry of the UAE. Originality/value This study has identified the challenges faced by the construction industry of the UAE in the context of the management of project schedule, project cost, construction contracts, health and safety of construction employees and other related aspects of the construction projects. This study also identified the techniques and solutions adopted by various public and private institutions of the country and their implications on construction projects. Therefore, this study provides guidelines for policymakers and future research studies alike.

Intellectual capital and financial performance in social cooperative enterprises

2018 ◽  
Vol 19 (4) ◽  
pp. 712-731 ◽  
Author(s):  
Nick Bontis ◽  
Massimo Ciambotti ◽  
Federica Palazzi ◽  
Francesca Sgro
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Economic Performance ◽  
Value Added ◽  
Positive Association ◽  
Performance Outcomes ◽  
Relational Capital ◽  
Content Type ◽  
Structural Capital ◽  
Cooperative Enterprises

Purpose The purpose of this paper is to provide empirical evidence of the relationship between intellectual capital (IC) and economic performance, with focus on social cooperative enterprises (SCEs) that work in non-profit sectors. Design/methodology/approach A survey was developed and administered in Italy. A final sample of 151 SCEs participated in the study. Data were collected on IC measures, social enterprise activities and economic and mission-based performance outcomes. Findings Two hypotheses that proposed a positive association between IC sub-components (i.e. human capital, structural capital and relational capital) and the economic and mission-based performance of SCEs were tested. Findings highlight that human capital contributes to explain economic performance which is positively affected by the presence of graduate employees and value added per employee. However, economic performance is negatively affected by the yearly training per employee. In addition, human and relational capital contribute to explain mission-based performance which is positively affected by yearly training, the value added per employee and the quality of relationships with customers. However, mission-based performance is negatively affected by the relationships’ quality with the reference territorial community. Therefore, relational capital would seem to affect only mission-based performance, and human capital influences both dimensions of corporate performance. Structural capital does not affect social cooperatives’ performance. Practical implications Some of the results in this study are particular to this research setting. It is therefore important for senior leaders of SCEs to take the results of general IC literature with a grain of salt. Whereas most of the academic literature generally supports the positive relationship of all IC sub-components (i.e. human, structural and relational capital) with performance outcomes, this is not the case in this particular study. Originality/value This is the first empirical study that has examined the linkages between IC sub-components and performance outcomes in SCEs in Italy.

scholarly journals The communication of intellectual capital: the “whys” and “whats”

2016 ◽  
Vol 17 (3) ◽  
pp. 414-438 ◽  
Author(s):  
Janet C.N. Wee ◽  
Alton Y.K. Chua
Keyword(s):  
Human Capital ◽  
Content Analysis ◽  
English Language ◽  
Global Scale ◽  
Current Data ◽  
Relational Capital ◽  
Content Type ◽  
Structural Capital ◽  
Management Responsibility ◽  
Data Source

Purpose – The purpose of this paper is twofold: first, to identify motivations that drive communication of IC (CIC); and second, to investigate content and format used in CIC from three perspectives, namely, human capital information, relational capital information and structural capital information. Design/methodology/approach – A global survey was conducted with 200 banks’ senior executives responsible for annual report (AR), followed by content analysis of each bank’s AR. Findings – The study found four motivations of CIC, namely, management responsibility to stakeholders, collective behavior, corporate responsibility and compliance. Content analysis of banks’ AR found structural capital information most prevalent, followed by human capital and relational capital. Five types of formats were analyzed to show the different presentation used in the CIC. Research limitations/implications – Current data source was limited to banking and focussed on English language publications. Practical implications – The study provides regulators insights to forces that either compel or hinder CIC, and updates literature on management’s thinking and priorities in CIC. Originality/value – This study is possibly the first paper that investigates the motivation of CIC for reporting, where IC is an important asset to organizations. The findings on the content and format used in CIC extend existing studies to a wider, global scale.

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