Intellectual Capital, Impact Factor in Competitiveness: SMEs Manufacturing Industry in Mexico.

Gutiérrez, Josè Sánchez; Mejía-Trejo, Juan; Vazquez-Avila, Guillermo

doi:10.2139/ssrn.2827921

Cited by 4 publications

(5 citation statements)

References 41 publications

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“…Unlike other seminal theories of firm strategic behavior, the resource-based view puts an emphasis on specific traits of resources employed by a company. There is also empirical evidence of strong positive influence of intangibles on company competitiveness in developing countries (Sanchez-Gutierrez et al, 2016). Our study advances the notion that the resource endowment of Russian companies may be related to the endowment of their European rivals.…”

Section: Factors Of the Low Competitiveness Of Russian Companies: The Academic Discussionsupporting

confidence: 74%

“…For the purpose of our study, and in line with Porter (2011), we state that the competitiveness of companies is expressed in their ability to create abnormally large profits over the benchmarks of their industry rivals. The concept of competitiveness is multidimensional (Sanchez-Gutierrez et al, 2016); consequently, it involves different issues such as company resource endowment, dynamic capabilities, competitive advantages, business strategies and other aspects. In present paper, we follow resource-based view (Barney et al, 2001) and investigate the influence of endowment of intangible resources on company competitiveness.…”

Section: Factors Of the Low Competitiveness Of Russian Companies: The Academic Discussionmentioning

confidence: 99%

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Bridging the gap in competitiveness of Russian companies with intangible bricks

Shakina

Barajas

Molodchik

2017

MBE

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Purpose The paper aims to explore factors of the low competitiveness of Russian companies assuming that the gap in the endowment of intangible resources is responsible for the gap in competitiveness. Design/methodology/approach The framework of resources-based view is used to examine causality between the resources used and competitiveness measured by economic value added (EVA). Controlling for the most relevant factors, the authors place an emphasis on those intangible resources that are considered in the literature as being the most critical for Russian companies when contending for global competitiveness: productivity, strategic long-term orientation of companies, quality of human capital, innovative behavior of companies, foreign investments and corporate networks. The data set of more than 1,000 Russian companies benchmarked to the data set of more than 1,600 European companies during a period of 10 years: 2004-2013 is analyzed to test the hypothesis put forward. Findings Causal effect of the gap in intangible endowment and competitiveness of Russian companies compared with European rivals is revealed. According to our analysis, gaps in productivity, strategy implementation, qualifications of the board of directors and company location play critical roles in the global competitiveness of Russian companies. Meanwhile, underinvestment in structural resources, such as enterprise resource planning (ERP) systems and other intangible assets, are considered positive factors that reduce gaps in EVA. Originality/value The paper introduces original approach for studying the gap in performance caused by the gap in used resources.

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Section: Factors Of the Low Competitiveness Of Russian Companies: The Academic Discussionsupporting

confidence: 74%

Section: Factors Of the Low Competitiveness Of Russian Companies: The Academic Discussionmentioning

confidence: 99%

Bridging the gap in competitiveness of Russian companies with intangible bricks

Shakina

Barajas

Molodchik

2017

MBE

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“…In the process of economic transformation, China's manufacturing sector should invest more in intangible resources, especially IC resources. In addition, many researchers have also focused on the manufacturing sector in the extant IC literature (Phusavat et al , 2011; St-Pierre and Audet, 2011; Ji et al , 2014; Khalique et al , 2015; Andreeva and Garanina, 2016, 2017; Crema and Verbano, 2016; Sanchez-Gutierrez et al , 2016; Cisneros and Hernandez-Perlines, 2018; Xu and Wang, 2018; Bayraktaroglu et al , 2019; Xu and Li, 2019; Xu et al , 2019b; Xu and Liu, 2020).…”

Section: Introductionmentioning

confidence: 99%

The interrelationship between intellectual capital and firm performance: evidence from China's manufacturing sector

Jing-suo

2020

JIC

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PurposeThe purpose of this paper is to examine the impact of intellectual capital (IC) and its components (human, structural and relational capitals) on the performance of manufacturing listed companies in China. This paper also investigates the impacts of company ownership, industry attributes and region on the IC-performance relationship.Design/methodology/approachThe study uses the data of 953 manufacturing companies listed on the Shanghai and Shenzhen Stock Exchanges over the period 2012–2016. The modified value-added intellectual coefficient (MVAIC) model is applied to measure IC efficiency. Finally, multiple regression analysis is employed to test the research hypotheses.FindingsThis study reveals that IC can enhance firm performance in China's manufacturing sector. Overall, earnings are affected by physical capital, human capital (HC) and structural capital (SC), and profitability and productivity are influenced by physical capital, HC, SC and relational capital. Physical capital is the most influential contributor to firm performance. In addition, state-owned enterprises have a greater impact of IC on firm performance than private-owned enterprises; high-tech manufacturing companies have higher IC performance than non-high-tech manufacturing companies; manufacturing companies in China's eastern region have higher IC performance than the counterparts in central and western regions.Practical implicationsThe findings may help managers, stakeholders and policymakers in developing countries to effectively and efficiently manage their IC resources.Originality/valueThis is the first study to evaluate IC and its relationship with firm performance among Chinese manufacturing listed companies using the MVAIC model.

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“…The intangible factors of gaps in competitiveness were taken up by Shakina et al (2017). Sanchez-Gutierrez et al (2016) emphasized the technological advancements as a competitive advantage. Technological advancements have led to a short product life cycle, which, in turn, has impacted the time to market.…”

Section: Literature Reviewmentioning

confidence: 99%

Competitiveness of Electronics manufacturing industry in India: an ISM–fuzzy MICMAC and AHP approach

Singh

Kumar

Gupta

et al. 2018

MBE

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PurposeThe purpose of this paper is to identify and build a hierarchy of the factors influencing competitiveness of electronics manufacturing industry (EMI) at the industry level and apply the interpretive structural modeling, fuzzy Matriced’ Impacts Croisés Multiplication Appliquée á UN Classement (i.e. the cross-impact matrix multiplication applied to classification; MICMAC) and analytic hierarchy process (AHP) approaches. These factors have been explained with respect to managerial and government policymakers’ standpoint in Indian context. Design/methodology/approachThis study presents a hierarchy and weight-based model that demonstrates mutual relationships among the significant factors of competitiveness of the Indian EMI. FindingsThis study covers a wide variety of factors that form the bedrock of the competitiveness of the EMI. Interpretive structural modeling and fuzzy MICMAC are used to cluster the influential factors of competitiveness considering the driving and dependence power. AHP is used to rank the factors on the basis of weights. Results show that the “government role” and “foreign exchange market” have a significantly high driving power. On the other hand, the “capital resource availability” and “productivity measures” come at the top of the interpretive structural modeling hierarchy, implying high dependence power. Research limitations/implicationsThe study has strong practical implications for both the manufacturers and the policymakers. The manufacturers need to focus on the factors of competitiveness to improve performance, and at the same time, the government should come forward to build a suitable environment for business in light of the huge demand and frame suitable policies. Practical implicationsThe lackluster performance of the industry is because of the existing electronics policies and environmental conditions. The proposed interpretive structural modeling and fuzzy MICMAC and AHP frameworks suggest a better understanding of the key factors and their mutual relationship to analyze competitiveness of the electronics manufacturing industry in view of the Indian Government’s “Make in India” initiatives. Originality/valueThis paper contributes to the industry level competitiveness and dynamics of multi-factors approach and utilize the ISM–fuzzy MICMAC and AHP management decision tool in the identification and ranking of factors that influence the competitiveness of the EMI in the country.

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Intellectual Capital, Impact Factor in Competitiveness: SMEs Manufacturing Industry in Mexico.

Cited by 4 publications

References 41 publications

Bridging the gap in competitiveness of Russian companies with intangible bricks

Bridging the gap in competitiveness of Russian companies with intangible bricks

The interrelationship between intellectual capital and firm performance: evidence from China's manufacturing sector

Competitiveness of Electronics manufacturing industry in India: an ISM–fuzzy MICMAC and AHP approach

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