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1

Susanti, Neneng, Raden Achmad Drajat Aji Sujai, and Eristy Minda Utami. "PENGARUH HUMAN CAPITAL, STRUCTURAL CAPITAL, DAN RELATIONAL CAPITAL TERHADAP AKREDITASI UNIVERSITAS WIDYATAMA." BISMA 12, no. 2 (June 30, 2018): 262. http://dx.doi.org/10.19184/bisma.v12i2.7906.

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The purpose of this research is to analyze the influence of human capital, structure capital, and relational capital on the accreditation of Widyatama University. This is an exploratory research applying associative research method. The data used is primary data. Data were analyzed using Structural Equation Modeling (SEM) with AMOS statistical software package. The results of this study show that human capital is the most dominant factor affecting accreditation, which is 15.35%, even though statistically it has no significant influence. Overall, intellectual capital factor has no effect on accreditation. Relational and structural capitals have negative effects on accreditation and statistically have insignificant influence. Keywords: Human Capital, Structure Capital, Relational Capital, Accreditation, and Widyatama University.
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Garlinia Yudawisastra, Helin, Daniel T. H. Manurung, and Fitria Husnatarina. "Relationship between value added capital employed, value added human capital, structural capital value added and financial performance." Investment Management and Financial Innovations 15, no. 2 (June 11, 2018): 222–31. http://dx.doi.org/10.21511/imfi.15(2).2018.20.

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Companies that can survive are companies that need to quickly change its strategy from a business based on labor towards knowledge-based business, so that the main characteristics of the company are changed towards a science-based company. This study examines the relationship of value added capital employed, value-added human capital, structural capital value added and financial performance. The method of this research is purposive sampling with a total of 34 samples analyzed by using Eviews version 9. The result stated that value added capital employed has no effect on return on asset, value added human capital has an effect on return on asset, structural capital value added has an effect on return on asset.
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Ordóñez de Pablos, Patricia. "Measuring and reporting structural capital." Journal of Intellectual Capital 5, no. 4 (December 2004): 629–47. http://dx.doi.org/10.1108/14691930410567059.

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Bustos, Paula, Gabriel Garber, and Jacopo Ponticelli. "Capital Accumulation and Structural Transformation*." Quarterly Journal of Economics 135, no. 2 (January 3, 2020): 1037–94. http://dx.doi.org/10.1093/qje/qjz044.

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Abstract Several scholars argue that high agricultural productivity can retard industrial development because it draws resources toward the comparative advantage sector, agriculture. However, agricultural productivity growth can increase savings and the supply of capital, generating an expansion of the capital-intensive sector, manufacturing. We highlight this mechanism in a simple model and test its predictions in the context of a large and exogenous increase in agricultural productivity due to the adoption of genetically engineered soy in Brazil. We find that agricultural productivity growth generated an increase in savings, but these were not reinvested locally. Instead, there were capital outflows from rural areas. Capital reallocated toward urban regions, where it was invested in the industrial and service sectors. The degree of financial integration affected the speed of structural transformation. Regions that were more financially integrated with soy-producing areas through bank branch networks experienced faster growth in nonagricultural lending. Within these regions, firms with preexisting relationships with banks receiving funds from the soy area experienced faster growth in borrowing and employment.
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Honig, Benson. "Human capital and structural upheaval." Journal of Business Venturing 16, no. 6 (November 2001): 575–94. http://dx.doi.org/10.1016/s0883-9026(99)00060-9.

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Hasmirati, Hasmirati, and Alfin Akuba. "Dampak Human Capital, Structural Capital, Dan Costumer Capital Terhadap Kinerja Bisnis UMKM Di Tilamuta." JAMIN : Jurnal Aplikasi Manajemen dan Inovasi Bisnis 4, no. 2 (March 8, 2022): 201. http://dx.doi.org/10.47201/jamin.v4i2.95.

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AbstractThis study aims to determine and analyze how much impact human capital, structural capital, and customer capital have on the business performance of MSME workshops in Tilamuta sub-district. This research is quantitative research. The method of analysis using multiple linear regression. The results of the study show that, human capital, structural capital and customer capital simultaneously have a significant effect on the performance of the UMKM workshop business. Human capital partially has a significant effect on the business performance of MSME workshops because they have knowledge, expertise, and abilities. Structural capital partially has a significant effect on the business performance of MSME workshops including organizational culture, organizational structure, organizational learning, organizational processes and organizational systems. Partially, customer capital has a significant effect on MSME business performance. Bengel covers brand value, customer network, customer loyalty and customer satisfaction. Keywords: Human Capital, Structural Capital, Customer Capital and MSME Performance
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7

Kholid Murtadlo. "Peran Human Capital, Structural Capital, Relational Capital Dan Digital Marketing Terhadap Kinerja UMKM." SKETSA BISNIS 8, no. 1 (September 1, 2021): 47–62. http://dx.doi.org/10.35891/jsb.v8i1.2635.

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AbstractMicro, Small and Medium Enterprises (MSMEs) have a very important role in supporting the national economy, MSMEs are considered as strong and resilient businesses from the global crisis. Although the development of MSMEs is currently experiencing quite rapid development, it cannot be separated from several obstacles. One of the constraints experienced by MSMEs is the lack of effective knowledge management and the ineffective use of technology. This is something that must be improved by MSME actors in order to increase their business. The purpose of this study was to determine the effect of human capital, structural capital, relational capital, and digital marketing on the performance of MSMEs. The population in this study were all food and beverage MSME managers assisted by the Satrya Emas program in Pasuruan Regency. The sample required is 138 respondents. The research method used is quantitative method using multiple linear regression analysis approach. This study uses the SPSS 22 program. The results of this study indicate that the human capital variable (X1) partially has a significant effect on the performance of MSMEs (Y) with tcount 4.865 > ttable of 1.977 and sig value of 0.001 <0.05, structural capital variable (X2) partially has a significant effect on performance. MSMEs (Y) with tcount 3,591 > ttable of 1,977 and sig value of 0.003 < 0.05, the relational capital variable (X3) partially has a significant effect on the performance of MSMEs (Y) with tcount of 6.014 > ttable of 1.977 and sig value of 0.004 < 0, 05, and the digital marketing variable (X4) partially has a significant effect on the performance of MSMEs (Y) with tcount 4.177 > ttable 1.977 and sig value 0.004 <0.05Keywords: Human Capital, Structural Capital, Relational Capital, Digital Marketing, SMEs Abstrak Usaha Mikro Kecil Menengah (UMKM) menjadi salah satu peranan yang sangat penting dalam menunjang perekonomian nasional, UMKM dianggap sebagai usaha yang kuat dan tahan dari terpaan krisis global. Meskipun perkembangan UMKM saat ini sudah mengalami perkembangan yang cukup pesat, namun hal itu tidak lepas dari beberapa kendala. Kendala yang dialami UMKM salah satunya adalah kurang efektifnya pengelolaan pengetahuan dan kurang efektifnya penggunaan teknologi. Hal inilah yang harus ditingkatkan oleh para pelaku UMKM agar dapat meningkatkan usahanya. Tujuan penelitian ini adalah untuk mengetahui pengaruh human capital, structural capital, relational capital, dan digital marketing terhadap kinerja UMKM. Populasi dalam penelitian ini adalah seluruh pegelola UMKM makanan dan minuman binaan program satrya emas Kabupaten Pasuruan. Sampel yang diperlukan adalah 138 responden. Metode penelitian yang digunakan adalah metode kuantitatif dengan menggunakan pendekatan analisis regresi linier berganda. Penelitian ini menggunakan program SPSS 22. Hasil penelitian ini menunjukkan hasil bahwa variabel human capital (X1) secara parsial berpengaruh signifikan terhadap kinerja UMKM (Y) dengan thitung 4,865 > ttabel sebesar 1,977 dan nilai sig 0,001 < 0,05, variabel structural capital (X2) secara parsial berpengaruh signifikan terhadap kinerja UMKM (Y) dengan thitung 3,591 > ttabel sebesar 1,977 dan nilai sig 0,003 < 0,05, variabel relasional capital (X3) secara parsial berpengaruh signifikan terhadap kinerja UMKM (Y) dengan thitung 6,014 > ttabel sebesar 1,977 dan nilai sig 0,004 < 0,05, dan variabel digital marketing (X4) secara parsial berpengaruh signifikan terhadap kinerja UMKM (Y) dengan thitung 4,177 > ttabel sebesar 1,977 dan nilai sig 0,004 < 0,05. Kata Kunci: Modal Manusia, Modal Struktural, Modal Relasional, Pemasaran Digital, UKM
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8

Albala-Bertrand, J. M. "Structural Change behind GDP Growth Rates via Key Indicators: Chile 1996-2015." International Business Research 11, no. 8 (July 6, 2018): 38. http://dx.doi.org/10.5539/ibr.v11n8p38.

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This paper deals with the change of some aggregate structural indicators in Chile over the 20-year period 1996-2015. We first produce an accounting growth decomposition to assess the changes in the contribution of capital productivity, capital intensity and labour participation to the growth rate of output per capita as well as the growth rate of labour income participation in national income. We then combine an accounting growth decomposition with a standard production function growth accounting to assess the contribution of both capital productivity and capital intensity to total factor productivity (TFP). To complement the latter, we produce optimal estimates of incremental capital productivity and incremental income elasticity to capital by means of a linear programming exercise. Our main conclusion is that capital intensity, rather than capital productivity or labour participation, has been the main growth contributor. TFP has contributed in a decreasing way from positive to negative over our sub-periods, so adding to and subtracting from GDP growth over time, with the main positive contributor to TFP growth systematically being a proportion of capital intensity.
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9

Gül Reís, Ş., Luqman M. Saeed, and Kamal Mohammed Abdullah. "The Role of Intellectual Capital on Financial Decision Making in Private Universities in Erbil City – Iraq." Polytechnic Journal 9, no. 1 (June 30, 2019): 82–96. http://dx.doi.org/10.25156/ptj.v9n1y2019.pp82-96.

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The purpose of the study is to examine the role of intellectual capital on financial decision making in private universities in Erbil. To achieve this purpose, the sample of the study collected from participating 115 managers at six private universities locating in Erbil city in Iraq. The dependent variable of the study is financial decision making. Independent variables are human capital, structural capital, and customer capital which are dimensions of intellectual capital according to Stewart model. In the methodology part of the study, the importance of working by focusing on some of the questions, posing the relationship between the independent and dependent variables, and the effectiveness have been determined. Accordingly, a conceptual model design of the study and then produce two main hypotheses to test. This has been subjected to numerous statistical tests. The study results; the most notable one is the existence of the highest rank of importance of human capital among intellectual capital components, while the customer and structural capitals come second and third, respectively. In addition, this result shows that the human, structural, and customer capitals affect financial decision making in Erbil private universities.
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10

Benevene, Paula, and Michela Cortini. "Interaction between structural capital and human capital in Italian NPOs." Journal of Intellectual Capital 11, no. 2 (April 20, 2010): 123–39. http://dx.doi.org/10.1108/14691931011039642.

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11

Sihombing, Patuan Belt Sazar, and Etty Murwaningsari. "Pengaruh Green Relational Capital, Green Structural Capital, And Green Human Capital Terhadap Kinerja Perusahaan." Owner 7, no. 1 (December 26, 2022): 280–92. http://dx.doi.org/10.33395/owner.v7i1.1246.

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The purpose of this research is to evaluate how green relational, structural, and human capital impact corporate performance, with leverage functioning as a moderator. The annual and sustainability reports from non-financial enterprises listed on the IDX in 2020–2021 are among the unbalanced data utilized in this analysis. The website of the Indonesian Stock Exchange (IDX) supplied the information for this research. Predictions suggest that 131 non-financial enterprises will list in 2020 and 238 in 2021. The sample, which was constructed from discoveries that fit the criteria, contained 334 companies. According to the study's results, green structural capital and green human capital (GHC) are harmful to a company's growth. This is because there aren't enough resources available to invest in technology or human resources that can foresee environmental repercussions. The success of an organization is also tied to its green relational capital. In order to expand their capacity, skill, and knowledge and to generate new goods more fast and more cheaply, the majority of manufacturing enterprises are creating strong ties with their suppliers. These relationships are advantageous to corporate sustainability. The data also show that leverage weakens the impact of green relational capital (GRC) while strengthening the relationship between green human capital (GHC), green structural capital (GSC), and company success.
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12

Mimba, Ni Putu Sri Harta, I. Gusti Ayu Made Asri Dwija Putri, and Anak Agung Ngurah Agung Kresnandra. "Social Enterprises Empowerment through the Quality Mapping Analysis of Intellectual Capital Development: A Case Study during Pandemic." AKRUAL: Jurnal Akuntansi 12, no. 1 (November 2, 2020): 94. http://dx.doi.org/10.26740/jaj.v12n1.p94-106.

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Abstract During the pandemic period, government and society regard that social enterprises have more increasing role to reduce socials problems. Hence, there is an increased need to empowering social enterprises. This empowerment elevates their added value and competitiveness developing and improving their intellectual capital. However, the study on such development is not yet much explored. This study aims to fill this gap, especially in mapping the quality development of human, customer and structural capitals based on Resource Based Theory (RBT). The good quality of intellectual capital can enlarge the added value and competitiveness of social enterprises. This study is also develops the quality of intellectual capital to empowering social entreprises. This study used convenience sampling technique and obtained sample of 38 social entreprises. Quality mapping analysis and mean analysis are used to analyze the quality of each elemen of intellectual capital. This study finds that customer capital has the best development (mean score 166.9) followed by human capital (mean score 151.2) and then structural capital (mean score 145). This study also provides the mapping of some parts in the element of human, customer and structural capitals that require futher improvements. and possible solutions that doable and fruitful for social enterprises.
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13

Limbu, Yam B., C. Jayachandran, Christopher McKinley, and Jeonghwan Choi. "Exploring how structural and cognitive social capital influence preventive health behavior." Health Education 118, no. 5 (August 6, 2018): 370–85. http://dx.doi.org/10.1108/he-09-2017-0045.

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Purpose People living on poverty-level incomes in developing nations face unique health challenges as compared to those in developed nations. New insights emerge from a bottom of the pyramid context (India) where culture-based health notions, preventive orientation and health resources differ from developed western health orientations and resources. The purpose of this paper is to explore how structural and cognitive social capital indirectly influence preventive health behavior (PHB) through perceived health value. Design/methodology/approach The participants for this study include rural people from Tamil Nadu, a state of India who are classified as those living below poverty level based on a per capita/per day consumption expenditure of Rupees 22.50 (an equivalent of US$0.40 a per capita/per day) (Planning Commission, Government of India, 2012). The study included a total number of 635 participants (312 males and 323 females). Relatively a high response rate (79 percent) was achieved through personal contacts and telephone solicitation, cash incentive and multiple follow-ups. Participants completed a questionnaire assessing structural and cognitive social capital, preventative health behavior, perceived health value, and health locus of control (HLC). Findings The results show that perceived health value mediates the relationship between cognitive social capital and PHB. Specifically, cognitive social capital influences BoP people’s assessment of benefits of engaging in PHB, that, in turn, influences PHB. In addition, the findings showed that HLC moderates the effect of social capital on PHB. Social capital positively related to enhanced PHB only among those who believe that health outcomes are controllable. Originality/value The authors findings indicate that cognitive social capital has enormous potential in promoting health intervention and the health of poor communities, a sentiment shared by prior researchers (Glenane-Antoniadis et al., 2003; Fisher et al., 2004; Martin et al., 2004; Weitzman and Kawachi, 2000). Overall, from a theoretical, empirical and methodological perspective, the current study offers a unique contribution to the social capital and PHB literature. First, drawing from the HBM and HLC, the findings provide a more nuanced explanation of how distinct aspects of social capital predict PHB. Specifically, the relationship between social capital and PHB is qualified by the extent one perceives personal control over her health. In addition, the cognitive component of social capital influences PHB through perceptions of health value.
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Sari, Putu Satya Purnama, and Ni Made Wisni Arie Pramuki. "PENGARUH INTELLECTUAL CAPITAL TERHADAP KINERJA USAHA MIKRO KECIL DAN MENENGAH." Hita Akuntansi dan Keuangan 2, no. 4 (October 28, 2021): 109–32. http://dx.doi.org/10.32795/hak.v2i4.2000.

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The purpose of this research is to obtain empirical evidence of the influence of human capital, structural capital, and customer capital on performance of small and medium business (SMEs) in Tampaksiring. This research is quantitative research, using primary data through questionnaires and measured using likert scale. The sampling technique used simple random sampling technique. The samples used in this study were 125 SMEs in Tampaksiring. The data analysis method used is the Smart PLS 3.0 program. The result showed that structural capitals have a positive and significant effect on performance of SMEs. While the human capital and customer capital has positive no significant effect on performance of SMEs.
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Nuñez, Marco, Joaquin Nunez, Roger Alejandro Banegas Rivero, and María Nélida Sánchez Bañuelos. "Structural Relationship among Intellectual Capital Dimensions." International Journal of Advanced Corporate Learning (iJAC) 10, no. 1 (March 30, 2017): 33. http://dx.doi.org/10.3991/ijac.v10i1.6436.

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<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>
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Gogan, Luminita Maria, Dan Cristian Duran, and Anca Draghici. "Structural Capital - A Proposed Measurement Model." Procedia Economics and Finance 23 (2015): 1139–46. http://dx.doi.org/10.1016/s2212-5671(15)00503-1.

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APPLETON, ALBERT F. "NON-STRUCTURAL ALTERNATIVES TO CAPITAL NEEDS." Proceedings of the Water Environment Federation 2005, no. 8 (January 1, 2005): 7196–202. http://dx.doi.org/10.2175/193864705783858495.

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18

Antimonova, Anastasiia Pavlovna, and Andrei Vladimirovich Zastupov. "STRUCTURAL ANALYSIS OF MORTGAGE CAPITAL MARKET." Problemy sovershenstvovaniya organizatsii proizvodstva i upravleniya promyshlennymi predpriyatiyami: Mezhvuzovskii sbornik nauchnykh trudov, no. 1 (2021): 171–75. http://dx.doi.org/10.46554/op-mie-2021.1-pp.171.

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19

Kao, Shu-Chen, and Chien-Hsing Wu. "Knowledge Properties and Social Capital in Knowledge Creation Performance in Taiwan's Manufacturing and Service Industries." International Journal of Sociotechnology and Knowledge Development 13, no. 1 (January 2021): 79–100. http://dx.doi.org/10.4018/ijskd.2021010107.

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This article presents and empirically examines a research model to investigate knowledge creation performance (KCP). The model postulates knowledge property (tacitness and complexity) and social capital (structural, relational, and cognitive capitals) as the main predictors of KCP. The moderation (interaction) effect of goal-predefined strategy (GPS) is also examined. Based on 209 valid samples collected from the manufacturing and service industries in Taiwan, the authors show that both knowledge property and social capital are significantly associated with KCP. GPS significantly enhances the effect of knowledge property on KCP and significantly weakens the effect of social capital on KCP. The effect of tacitness becomes insignificant when GPS is included, due to the limitations in thinking space that the strategy entails. Moreover, among social capitals, GPS maintains the effect of cognitive social capital on KCP but decreases the influence of both structural and relational social capital. Discussion and implications are also addressed.
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Pangidoan, Ondy Tulus, and Lenny Christina Nawangsari. "effect of human capital, structural capital, relational capital and innovative behavior in organizational performance of PT. PLN (Persero) Company, Bekasi." Linguistics and Culture Review 6 (February 2, 2022): 773–96. http://dx.doi.org/10.21744/lingcure.v6ns1.2153.

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This study aimed to assess the effect of Human Capital, Structural Capital, Relational Capital, and Innovative Behavior in the organizational performance of PT. PLN (Persero) Company Bekasi. This study used a quantitative approach with a causal type of research. Variables used included Human Capital (X1), Structural Capital (X2), Relational Capital (X3), Innovative Behavior (Y1), and Organizational Performance (Y2). This study used a random sampling technique with stratification. The number of samples used was determined with the Slovin formula and a minimum sample of 123 populations at a margin of error of 5% obtained was 94. The data analysis methods in this study were Structural Equation Modeling (SEM) analysis with the Partial Least Square (PLS) alternative method. The research steps included designing a Measurement Model (Outer Model), designing a Structural Model (Inner Model), and designing Hypotheses. There are 7 accepted hypotheses, namely the direct effect of Human Capital on Innovative Behavior, the direct effect of Structural Capital on Innovative Behavior, the direct effect of Human Capital on Organizational Performance, the direct effect of Structural Capital on Organizational Performance, the direct effect of Innovative Behavior on Organizational Performance, the indirect effect of Human Capital on Organizational Performance through Innovative Behavior variable.
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Marzo, Giuseppe. "Dangerous liaisons: human capital and structural capital in the VAIC model." International Journal of Learning and Intellectual Capital 1, no. 1 (2022): 1. http://dx.doi.org/10.1504/ijlic.2022.10051511.

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Szalavetz, A. "Structural transformation of the capital stock and capital-saving technical change." Acta Oeconomica 57, no. 3 (September 1, 2007): 263–79. http://dx.doi.org/10.1556/aoecon.57.2007.3.3.

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We argue that the information technology revolution has brought about the differentiation of secular capital-using and labour-saving direction of technical change. Based on the example of the US manufacturing industry, asset and sector specific differences in the bias of technical change are documented. While the clear ICT- and intangible capital-using bias of technical change is well-documented in the literature, this paper provides evidence for the non-ICT capital-saving bias of technical change in the fifth Kondratieff cycle. In the past decade the US manufacturing sector displayed a noticeable deceleration of capital accumulation and capital intensity increase, a trend that diverges from the one observed in the other two sectors of the economy: in agriculture and in services. Non-ICT capital-saving technical change provokes increasing divergence between the development strategies of technological followers (characterised by tangible investment-led growth, and increasing capital-output ratios), and of technological leaders (marked by increasing intangible capital-intensity and diminishing tangible capital-intensity).
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Jardón, Carlos-Maria Fernandez, and Amandio F. C. Silva. "Human Capital as a Mediating Factor of Structural Capital and Value Addition." International Journal of Knowledge Management 18, no. 1 (January 2022): 1–13. http://dx.doi.org/10.4018/ijkm.291103.

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Structural capital is one of the components of intellectual capital. The measurement is essential in order to obtain the real value of intellectual capital and its influence on the profitability of the business. The measurement of structural capital value addition can be done directly or via the mediating effect of another component of intellectual capital, i.e. human capital or relational capital. Human capital has been selected as the mediating component for this study based on findings of previous studies that advocate its importance as a major determinant that enhances structural capital changes. This paper aims at measuring the influence of human capital as a mediating factor on the capacity of structural capital value addition for the period of 2002-2018, for Galicia (Spain) and Portugal.
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Lee, Su-Yol. "The effects of green supply chain management on the supplier’s performance through social capital accumulation." Supply Chain Management: An International Journal 20, no. 1 (January 12, 2015): 42–55. http://dx.doi.org/10.1108/scm-01-2014-0009.

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Purpose – This paper aims to examine the effects of green supply chain management (GSCM) on environmental and operational performances with a perspective of social capital accumulation in the supply chain. The roles of structural capital and relational social capital in GSCM were empirically explored. Design/methodology/approach – A research model was developed to investigate the effects of GSCM on a supplier’s environmental and operational performances through structural and relational social capitals. Using an exploratory factor analysis, the study identified the structural and relational dimensions of social capital and the environmental and operational performance dimensions of supplier’s performance. The hypotheses were tested on data of 207 responses collected from supplying firms in South Korea, using structural equation modeling. Findings – The paper finds that GSCM contributes to the environmental and operational performance improvements of the supply chain through social capital accumulation. Relational capital, in particular, plays a more important pivoting role in the relationships between GSCM and environmental and operational performances. Practical implications – The findings of this paper provide useful insights about how supply chain members should integrate environmental issues into supply chain management practices that would enhance social capital accumulation to foster stronger operational and environmental performances throughout the entire supply chain. Originality/value – This research is one of the few studies that explore the effects of GSCM on performance by explicitly considering social capital as an important intervening variable. By applying social capital theory, this study provides theoretical underpinning for furthering the GSCM literature.
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Guihua, Xie, and Wang Linping. "The Impact of Social Capital on Entrepreneurial Performance in Agriculture." E3S Web of Conferences 253 (2021): 03055. http://dx.doi.org/10.1051/e3sconf/202125303055.

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In agriculture, social capital plays a major role in entrepreneurial performance. This study divides social capital into bounding social capital and bridging social capital. The data is collected by questionnaire, and the structural equation modeling is used to understand the impact of different social capitals on entrepreneurial performance in agricultural settings. The results show that both bounding social capital and bridging social capital of agricultural entrepreneurs have significant positive impacts on the performance of agricultural entrepreneurship. Agricultural entrepreneurs should strengthen strong relationships with relatives and friends to obtain more bounding social capital, and accumulate heterogeneous resources to develop bridging social capital.
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Przeworski, Adam, and Michael Wallerstein. "Structural Dependence of the State on Capital." American Political Science Review 82, no. 1 (March 1988): 11–29. http://dx.doi.org/10.2307/1958056.

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A central claim of both Marxist and neoclassical political theory is that under capitalism all governments must respect and protect the essential claims of those who own the productive wealth of society. This is the theory of “structural dependence of the state on capital.” Using a formal model, the internal logic and the robustness of the theory is examined. We conclude that in a static sense the theory is false: virtually any distribution of consumption between wage earners and owners of capital is compatible with continual private investment once an appropriate set of taxes and transfers is in place. Yet the state may be structurally dependent in a dynamic sense. Policies that, once in place, redistribute income without reducing investment do reduce investment during the period in which they are anticipated but not yet implemented.
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Khan, Yasmin Kamall, Sharifah Zannierah Syed Marzuki, and Azlin Shafinaz Mohd Arshad. "The Influence of Intellectual Capital on Product, Process and Administration Innovation in the SMEs Context." Journal of Management Info 5, no. 3 (September 3, 2018): 1–7. http://dx.doi.org/10.31580/jmi.v5i3.79.

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There are insufficient studies that investigate the connection between human, structural and relational capital and organizational innovation in Australian SMEs in the literature. Various SMEs industries, in Australia were adapted from Business Longitudinal Database (BLD) from the Australian Bureau of Statistics (ABS). This cross-sectional study shows that relational and human capitals are positive and significant towards process innovation while relational capital is the only predictor for product innovation. The results also show that human, structural and relational capitals were the most significant predictor for administration innovation. The findings show that relational capital has the most significant relationship between the three components of intellectual capital towards innovation in Australia SMEs. SME managers acknowledged the importance in collaboration towards achieving innovation performance in their firm. In order for SMEs to be a competitive advantage, managers should focus to improve their networking and collaboration with external parties, so that the whole innovation (product, process and administration innovation) can be achieve.
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Ilabaca Baeza, Paola, José Manuel Gaete Fiscella, Fuad Hatibovic Díaz, and Helena Roman Alonso. "Social, Economic and Human Capital: Risk or Protective Factors in Sexual Violence?" International Journal of Environmental Research and Public Health 19, no. 2 (January 11, 2022): 777. http://dx.doi.org/10.3390/ijerph19020777.

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In Chile, studies on protective factors and risk factors for sexual violence are limited and very few have incorporated analysis of different types of capital (social, economic, human) as social resources in the protection against sexual violence. The objective of this research is to evaluate to what extent the stock of different capitals act together, as either protective or risk factors in sexual violence in different interpersonal environments. The sample consisted of 1665 women between 15 and 30 years of age (M = 23.47, SD = 4.41). Artificial neural network analysis and social network analysis were used. The nodes representative of human and economic capital have a protective role of low relevance due to their position in the network, while the nodes of social capital acquire a structural relevance due to the central positions of the network. It is concluded that the structural social capital of neighborhood networks constitutes the main protective factor for sexual violence in all areas, and in turn, the structural social capital of networks with non-significant others was the main risk factor in sexual victimization.
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Astuti, Partiwi Dwi, Anis Chariri, and Abdul Rohman. "ASSOCIATION BETWEEN INTELLECTUAL CAPITAL AND COMPETITIVE ADVANTAGE: A CASE STUDY ON THE HOTEL INDUSTRY IN BALI PROVINCE, INDONESIA." Humanities & Social Sciences Reviews 7, no. 4 (September 19, 2019): 440–49. http://dx.doi.org/10.18510/hssr.2019.7460.

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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.
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Chang, Hsin Hsin, Pei-Hsuan Hsieh, and Chen Su Fu. "The mediating role of sense of virtual community." Online Information Review 40, no. 7 (November 14, 2016): 882–99. http://dx.doi.org/10.1108/oir-09-2015-0304.

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Purpose The purpose of this paper is to provide a comprehensive model to illustrate the mediating role of sense of virtual community (SOVC) in virtual communities of practices (VCoPs). The interrelations between social capital and collective action in terms of knowledge contribution in the VCoP context are also examined. Design/methodology/approach A total of 253 members from the Zclub and Jorsindo, responded to the survey. PLS-SEM path modeling was used to analyze survey data. Findings Members’ structural capital and cognitive capital both positively and significantly influence members’ SOVC, and, in turn, their SOVC influences relational capital. Research limitations/implications The study linked two theories, namely, social capital and theory of collective action, to discuss knowledge contribution in VCoPs. Social capital and SOVC have significant and positive effects on knowledge contribution in VCoPs. Practical implications Knowledge contributions in VCoPs are created through interactions among members, as well as the facilitation resulting from shared visions. Administrators can promote the formation of social-interaction ties in VCoPs to reinforce the formation of social capital and a SOVC. Social implications Administrators of knowledge-oriented groups must strive to sustain proper levels of SOVC among members to ensure their continued participation in VCoPs. Originality/value The main objectives of this study were to examine the effects of social capital (structural, cognitive, and relational capitals) on the quality and quantity of knowledge contribution. SOVC was proposed as a mediator in the relationship between structural and/or cognitive capital toward relational capital.
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Wójcik, Mirosław. "Structural capital and its importance for the intellectual capital of an organization." e-mentor 92, no. 5 (December 2021): 61–68. http://dx.doi.org/10.15219/em92.1543.

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This article aims to confirm the thesis that structural capital (SC) is a framework for intellectual capital (IC) in an organization, which allows proper configuration of intangibles. Therefore, in the resource-based view, it determines its strategic character. Realizing such a goal, the author pays attention to the nature of relations and connections of individual components of IC, indicating that the SC is the key factor creating intangible assets of the organization as a source of gaining competitive advantage. The reason for taking up this issue is that, despite years of discussion in the field of IC, there are still unanswered questions concerning the management of an organization’s IC, especially its planning and development. The defined knowledge gap concerns the source of strategic characteristics of IC, which, according to the resources-based view, are its rarity, originality, and the inability to be substituted or copied. The ability to shape the strategic value of intangibles makes this source itself a strategic resource and identifying it can change the way we understand IC. To achieve the paper’s aim and fill the knowledge gap, the author asks whether SC can provide the characteristics of IC mentioned above and whether the strategic character of IC can be achieved independently of SC. The review and theoretical considerations are based on the analysis of the literature on IC and selected issues that are not directly related to IC, but of which the subject touches on the intangible assets commonly considered to be components of IC, such as the issue of functional stupidity, knowledge management, or resource theory. As a result of the analysis of features and characteristics of SC, the author concludes that SC is responsible for the efficient use of relational capital and human capital potential and thus is a strategic factor shaping IC as a source of achieved competitive advantage. The topic has important practical implications because by confirming the strategic role of SC, indicates the sources of effective creation of IC and its potential. The discussion also identifies directions for further research on this issue, especially the operationalization of IC and its analysis in organizations’ internal structures.
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Lekić, Nemanja, Jelena Vapa-Tankosić, Jasmina Rajaković-Mijailović, and Snežana Lekić. "Analysis of structural capital as a component of intellectual capital in ICT enterprises." Oditor 6, no. 3 (2020): 33–54. http://dx.doi.org/10.5937/oditor2003033l.

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The success and competitiveness o f modern companies depends on their intellectual capital. Intellectual capital is an intangible asset that can be viewed through three basic sub-levels: human, structural and relational capital. The aim o f this paper is to research structural capital and its basic components: systems and programs, research and development, and intellectual property law. A pilot study in this area was conducted from June to August 2020. The research was conducted with an anonymous questionnaire on a sample o f 102 respondents employed in companies in the ICT sector o f the Republic o f Serbia. The results showed that employees in this sector rated systems and programs as the most important factor o f structural capital. These results should serve as a guide in the management o f structural capital in ICT companies in order to create a working environment that contributes to the overall growth and development o f the company, both in national and international environment.
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Garcia-Alvarez, Ma Teresa Garcia-Alvarez, Rosa Ma Mariz-Perez, and Mercedes Teijero Alvarez. "Structural Capital Management: A Guide For Indicators." International Journal of Management & Information Systems (IJMIS) 15, no. 3 (June 16, 2011): 41. http://dx.doi.org/10.19030/ijmis.v15i3.4641.

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Intellectual Capital is of vital importance, both for the scientific community and business reality. For this reason, over the past decades its relevance has rapidly increased. Within Intellectual Capital (from here on IC), Structural Capital (from here on, SC) plays an outstanding paper, given that is represents the part of knowledge that the organization is able to explicit, systematize and internalize and that, initially, is latent in employees or teams. This type of capital allows for organizational effectiveness improvement through the transmission of knowledge.The objectives of this paper is, first, to identify the elements of IC that help to guarantee the success of companies belonging to a given sector, paying special attention to the contributions of SC to IC. Second, and after observing that most existing papers are centered only on the measurement of SC and, therefore, leave aside elements regarding its management, our proposal fills this gap and includes various general indicators for SC that may help to manage it adequately. The basic aim is to allow managers themselves to choose the most adequate indicators within those presented, taking into account, of course, characteristics, objectives and strategies of the companies they manage.
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Li, J., A. Metzler, and R. M. Reesor. "A structural framework for modelling contingent capital." Quantitative Finance 17, no. 7 (December 21, 2016): 1071–88. http://dx.doi.org/10.1080/14697688.2016.1256494.

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Ostermark, Ralf. "Structural modelling of global capital asset pricing." International Journal of Systems Science 30, no. 6 (January 1999): 601–10. http://dx.doi.org/10.1080/002077299292119.

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Alvarez-Cuadrado, Francisco, Ngo Van Long, and Markus Poschke. "Capital-labor substitution, structural change, and growth." Theoretical Economics 12, no. 3 (September 2017): 1229–66. http://dx.doi.org/10.3982/te2106.

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Fiorillo, Damiano, and Fabio Sabatini. "Structural social capital and health in Italy." Economics & Human Biology 17 (April 2015): 129–42. http://dx.doi.org/10.1016/j.ehb.2015.02.004.

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Hirakata, Naohisa, and Takeki Sunakawa. "Financial frictions, capital misallocation and structural change." Journal of Macroeconomics 61 (September 2019): 103127. http://dx.doi.org/10.1016/j.jmacro.2019.103127.

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39

Byul, Jeon, Moon Kwang Min, Jeong Youn Baek, and Sohn Ho Sung. "A Study on the Impacts of Intellectual Capitals on Organizational Performance: The Intellectual Property Office in Korea." Korean Journal of Policy Studies 22, no. 2 (February 28, 2008): 89–108. http://dx.doi.org/10.52372/kjps22204.

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This study analyzes the impacts of the intellectual capitals of the Korea Intellectual Property Office (KIPO) on organizational performance. In particular, the following have been analyzed: how KIPO's human capital, structural capital, and relational capital affect the activities of the organization's knowledge management; to what degree the levels of knowledge management activities affect the organization's performance; and to what extent the organization's performance varies in accordance with KIPO's intellectual capital levels. This study conducted empirical research and analysis of how the intellectual capitals that KIPO possesses activate knowledge management activities, and which intellectual capitals influence knowledge management and organizational performance. Furthermore, it derived strategic suggestions that can be used for making successful policy on intellectual capital management. The results of the study revealed that in order to enhance organizational performance, KIPO needs to make efforts to promote cognition on the importance of intellectual capitals that it holds, and adopt operational methods to raise the level of relational capitals.
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Liu, Hefu, Weiling Ke, Kwok Kee Wei, and Yaobin Lu. "The Effects of Social Capital on Firm Substantive and Symbolic Performance." Journal of Global Information Management 24, no. 1 (January 2016): 61–85. http://dx.doi.org/10.4018/jgim.2016010104.

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This study examines the effects of social capital in the context of e-business and investigates how each of the three dimensions of social capital (structural, relational and cognitive) differentially influences a firm's substantive and symbolic performance. The study explores how structural capital and cognitive capital indirectly affect firm performance through relational capital. The research model is generally supported by data collected from a survey of 205 firms in China. The results suggest that structural and relational capital positively influence substantive and symbolic performance, respectively. However, cognitive capital does not have significant effects on substantive performance, though it positively affects symbolic performance. Also, the study found that structural capital and relational capital have stronger effects on substantive performance than symbolic performance. In contrast, cognitive capital has stronger effects on symbolic performance than substantive performance. Further, both structural capital and cognitive capital positively affect relational capital.
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Nasir Leha, Miswar Wahyudi, Syamsul Alam, and Andi Djlalante. "PENGARUH HUMAN CAPITAL STRUCTURAL, CAPITAL RELATIONAL CAPITAL DAN EMPLOYEE ENGAGEMENT TERHADAP PRESTASI KERJA PEGAWAI PADA SEKRETARIAT DPRD KABUPATEN KEPULAUAN SELAYAR." AkMen JURNAL ILMIAH 17, no. 4 (December 31, 2020): 619–29. http://dx.doi.org/10.37476/akmen.v17i4.1172.

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Penelitian ini bertujuan untuk menganalisis apakah ada pengaruh antara Human Capital, Structural Capital Relational capital dan Employee Engagement terhadap Prestasi Kerja Pegawai Pada Sekretariat Dewan Perwakilan Rakyat Daerah kabupaten kepulauan Selayar. Metode yang digunakan adalah metode deskriptif kuantitatif, data yang digunakan adalah data primer dan data sekunder yang dihasilkan dari penyebaran kuisioner, observasi langsung dan studi kepustakaan. Alat analisis yang digunakan adalah analisa statistika yaitu analisa regresi linier berganda dengan pembuktian hipotesis melalui uji t untuk membuktikan keterkaitan antara variabel independent dengan variabel dependent secara parsial dan uji f untuk membuktikan keterkaitan antara variabel independen dengan variabel dependent secara simultan. Penelitian dilakukan dengan mengambil sampel sebanyak 88 responden yang merupakan jumlah seluruh Pegawai pada Kantor Sekretariat Dewan Perwakilan Rakyat Daerah Kabupaten Kepulauan Selayar. Penelitian ini membuktikan terdapat pengaruh yang positif tapi tidak signifikan antara variabel Human Capital terhadap Prestasi Kerja terdapat pengaruh yang positif dan signifikan antara variabel Structural Capital, Relational Capital dan Employee Engagement Terhadap Prestasi Kerja Pada Sekretariat Dewan Perwakilan Rakyat Daerah Kabupaten Kepulauan Selayar. Penelitian ini juga membuktikan bahwa terdapat pengaruh yang positif dan signifikan antara variabel Human Capital, Structural Capital, Relational Capital dan Employee Engagement secara bersama-sama (simultan) terhadap Prestasi Kerja Pada Sekretariat Dewan Perwakilan Rakyat Daerah Kabupaten Kepulauan Selayar. Penelitian ini juga menunjukan bahwa variabel Structural Capital merupakan variabel yang paling dominan mempengaruhi Prestasi Kerja pada Sekretariat Dewan Perwakilan Rakyat Daerah Kabupaten Kepulauan Selayar.
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Maharani, Tia, and Khoirul Fuad. "The effect of human capital, structural capital, customer capital, managerial ownership, and leverage toward profitability of company." Journal of Advanced Multidisciplinary Research 1, no. 1 (June 30, 2020): 46. http://dx.doi.org/10.30659/jamr.1.1.46-62.

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Profitability is the ability of a company to generate profits. In an effort to achieve profitability, companies must be able to convert and be able to combine the necessary resources effectively and efficiently. These efforts can help in increasing profits earned by the company. One of the factors that can determine the good or bad performance of a company is profit, because of profit The purpose of this study is to study and analyze the influence of Human Resources, Structural Capital, Customer Capital, Good Governance and influence on Company Profitability. The population in this study were manufacturing companies listed on the Indonesia Stock Exchange from 2015 to 2017. The samples obtained by purposive sampling technique, obtained a sample of 38 companies. The technique of taking data. To get secondary data from IDX. The results of research using multiple regression analysis are: Human resources have no significant negative effect on profitability. Structural capital has a significant positive effect on profitability. Customer capital has a significant positive effect on profitability. Ownership is negative about profitability. Leverage has a significant negative effect on profitability.
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Ogbu Edeh, Friday, Yeo Sook Fern, and Abid Hussain Nawaz. "THE EFFECTS OF STRUCTURAL CAPITAL ON ORGANISATIONAL EFFICIENCY." March 2021 37, no. 01 (March 30, 2021): 1–11. http://dx.doi.org/10.51380/gujr-37-01-01.

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Policymakers and practitioners in telecommunication industry are not fully aware of the positive significance of structural capital to the enhancement of their operational and workers efficiency. The aim of this study therefore is to examine the effects of structural capital on organisational efficiency of ICT companies in the Sub-Saharan Africa using the knowledge-based view as theoretical underpinning. Cross-sectional research design was employed while the simple random sampling was used to select five ICT firms. Accessible population of two hundred and fifty participants was drawn from sample frame of five telecommunication firms. Sample size of one hundred and fifty-two was determined from accessible population. Hypotheses were analysed with multiple linear regression techniques with the aid of IBM SPSS. Study found that structural capital has significant positive effects on the organisational efficiency of ICT companies. The study concludes that structural capital measured in terms of process capital, innovation capital and customer capital enhance the organisational efficiency of ICT companies in Sub-Saharan Africa.
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Santos-Rodrigues, Helena, Praveen Gupta, and Robert Carlson. "Exploiting Intellectual Capital for Economic Renewal." International Journal of Innovation Science 7, no. 1 (March 1, 2015): 13–26. http://dx.doi.org/10.1260/1757-2223.7.1.13.

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This study proposes a model to analyze the relationship between leadership, intellectual capital (human, structural, and relational), and their contribution to economic renewal. The study contributes to the literature and higher education institution (HEI) management, by examining empirically and in greater depth, the antecedents and determinants of this problem. This study applies variance-based structural equation modeling, using partial least square on a sample of 195 academics from 52 countries. The results show that leadership has a positive and direct impact on human, structural, and relational capital, and that human capital has positive and direct impact on the structural and relational capital of the studied HEIs. Hence, we found that only the structural and relational capital of the HEIs have positive and direct impact on the contribution to economic renewal.
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45

Zwolak, Jan. "Structural changes in innovation in Polish industry." Ekonomski pregled 70, no. 5 (2019): 765–81. http://dx.doi.org/10.32910/ep.70.5.5.

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As regards the relationship between changes in the structure of innovative marketed production and the structure of innovation expenditure, the efficiency of generating direct physical production capital and social capital in Polish industry has a decisive role. Since the rate (pace) of growth in innovative marketed production and the rate (pace) of growth in physical capital are determined by the milieu of a particular enterprise and are not dependent on enterprises, the only variable explaining the rate of innovation growth is the rate (pace) of growth (in the value) of expenditure on human capital in Polish industry in 2005–2013. The results of the survey show that the rate (pace) of growth (in the value) of expenditure on human capital was executed most extensively in Polish industry in 2010–2013, whereas in 2006–2009 this rate (pace) was shaped to a limited extent. As there was no uniform flow of expenditure on human capital, the total value of innovations created in Polish industry in the years analysed was limited.
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46

Lu, Nan, Shicun Xu, and Qinghong Zhou. "Social Capital and Preferences for Aging in Place Among Older Adults Living in Rural Northeast China." International Journal of Environmental Research and Public Health 17, no. 14 (July 14, 2020): 5085. http://dx.doi.org/10.3390/ijerph17145085.

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The present study examines the association between cognitive social capital and structural social capital and aging-in-place among older adults living in rural Northeastern Chinese communities. Data were derived from a survey conducted in Dongliao County, Jilin Province, China, in late 2019. A quota sampling approach was used to recruit 458 respondents aged 60 years and older. Structural equation modeling was applied to test the proposed model. The results show that the measurement models of cognitive social capital and structural social capital were established in rural Chinese communities. Structural social capital was found to have a higher effect on aging in place than cognitive social capital (structural social capital: β = 0.241, p < 0.001; cognitive social capital: β = 0.118, p < 0.05). The findings highlight the crucial role both cognitive and structural social capital play in affecting the preference for aging in place among older rural Chinese adults. Policy and intervention implications are discussed.
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47

H., Partyn, and Zahorodniy A. "INTELLECTUAL CAPITAL OF THE BUSINESS ENTITY: ESSENCE, COMPONENTS, EVALUATION METHODS." Scientific Bulletin of Kherson State University. Series Economic Sciences, no. 45 (March 30, 2022): 30–41. http://dx.doi.org/10.32999/ksu2307-8030/2022-45-4.

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The article is devoted to the problem of managing one of the most important and at the same time the least studied types of business capital – intellectual capital, which combines intangible resources, intellectual property, opportunities and knowledge and can generate innovation, supporting the continuous process of transforming new knowledge into new goods and services. Despite the importance of intellectual capital in the operation of modern companies, today there is no consensus on its essence, due to the diversity of views of scholars who have studied this issue but are experts in various fields of economic activity, such as management, accounting, finance, marketing, human resource management, etc. The article reveals the essence, components, methods of assessing intel-lectual capital, groups of quantitative and qualitative indicators of its individual components, the system of indicators for assessing human, structural and socio-reputational capital. The vast majority of scholars are of the opinion that intellectual capital comprises three main components, namely human, structural and client capital. However, The International Integrated Reporting Framework, in addition to intellectual capital, provides for separate disclosure in reporting of information on the company's human and social-relationship capital. The framework does not deny that entities may divide capital into other categories, in particular, to include human, structural and reputational capitals in the intellectual capital. According to research, the following methods are most often used among intellectual capital valuation methods: Value Explorer method, which belongs to the group of direct valuation methods; the Market-to-Book method, according to which intellectual capital is determined by the ratio of market and book value of the company's equity; the method of determining the value added value of intellectual capital (VAIC), which belongs to the group of methods of return on assets (capital); Skandia's Navigator method – based on the scoring of a group of indicators. In order to properly disclose information about intellectual capital in the integrated reporting of the enterprise, it must be systematized using quantitative and qualitative indicators of human, structural and socio-reputational (client) capital.Keywords: intellectual capital, essence and components of intellectual capital, evaluation of intellectual capital, human capital, structural capital, social and reputational capital. Статтю присвячено проблемі управління одним із найважливіших і водночас найменш досліджуваних видів капіталу суб’єктів господарювання – інтелектуальним капіталом, який об’єднує його нематеріальні ресурси, об’єкти інтелектуальної власності, можливості та знання і може генерувати інновації, підтримуючи не-перервний процес трансформації нових знань у нові товари і послуги. Розкрито сутність, складники, методи оцінювання інтелектуального капіталу, групи кількісних та якісних показників його окремих складників, систему показників оцінювання людського, структурного та соціально-репутаційного капіталу.Ключові слова: інтелектуальний капітал, сутність та складники інтелектуального капіталу, оцінювання інтелектуального капіталу, людський капітал, структурний капітал, соціально-репутаційний капітал.
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Kasaeva, T. V., and D. A. Esankulova. "Education as a structural component of human capital." Scientific bulletin of the Southern Institute of Management, no. 2 (June 25, 2020): 12–16. http://dx.doi.org/10.31775/2305-3100-2020-2-12-16.

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The emergence of the category of “human capital” against the backdrop of accelerating scientific and technological progress and the increasing interest of scientists in the role and importance of man in the economy was prepared by the previous development of economic theory – the results of studies of such concepts as “productive labor”, “labor force”, “personal capital” , “Labor resources.” The definition of the phenomenon of human capital and a deeper understanding of its purpose, as well as the study of the aspects associated with its use, is impossible without an analysis of its structure with the allocation of education capital as a fundamental component. The formation of human capital is a process of formation, accumulation and use of human capital of individuals in order to obtain the benefits needed to restore the resources of family members and the reproduction of human capital that meets the current requirements of the economy. Traditionally, education helps people adapt to a changing economic environment – it grows people’s cognitive abilities. The economic impact of education depends on how the economy is changing. Having a good education stimulates those for whom it is the norm to invest in their human capital and encourage people to apply their knowledge and skills for specific purposes.
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Lu, Nan, and Jingyue Zhang. "Social Capital and Self-Rated Health among Older Adults Living in Urban China: A Mediation Model." Sustainability 11, no. 20 (October 10, 2019): 5566. http://dx.doi.org/10.3390/su11205566.

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Social capital and healthy aging are both crucial for social sustainability in China. The present study tested the role of structural social capital in self-rated health among older urban Chinese adults and the influence of cognitive social capital on this relationship. A sample of 456 older adults aged 60 or older in Suzhou, China, were recruited and completed the survey in 2015. Structural equation modeling was used to test the proposed model. Cognitive social capital had larger effects on self-rated health than structural social capital. The relationship between structural social capital and self-rated health was fully mediated by cognitive social capital, when sociodemographic characteristics, socioeconomic status, physical health conditions, and living arrangements were controlled. The culturally sensitive latent construct of community-based social capital proved to be a valid instrument in urban Chinese contexts. Structural social capital likely indirectly affects self-rated health through cognitive social capital. Policy and intervention implications are discussed.
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Lastanti, Hexana Sri, and Yvonne Augustine. "THE STRENGTH OF GOOD CORPORATE GOVERNANCE IN MODERATING THE EFFECTS OF GREEN INTELLECTUAL CAPITAL ON GREEN COMPETITIVE ADVANTAGE AND FIRM PERFORMANCE." Jurnal Akuntansi Trisakti 9, no. 1 (February 28, 2022): 85–98. http://dx.doi.org/10.25105/jat.v9i1.13353.

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This study aims to determine the effects of intellectual capital on green competitive advantage and firm performance with good corporate governance as a moderating variable for this relationship. It uses primary data questionnaires distributed to employees with at least 3 years of working experience. The findings of this study show that green structural capital, green relational capital, and green intellectual capital have positive effects on green competitive advantage. Meanwhile, green human capital and green relational capital have positive effects on firm performance. On the other hand, green human capital has no effects on green competitive advantage. Likewise, green structural capital and green intellectual capital have no effects on firm performance. Good corporate governance heightens the effects of green structural capital, green relational capital, and green intellectual capital on green competitive advantage. Also, it heightens the effects of green human capital, green relational capital, and green intellectual capital on firm performance. Regardless of its positive effects, good corporate governance is unable to moderate the effects of green human capital on green competitive advantage and the effects of green structural capital on firm performance.
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