Assessment of the Role of MNCs in the Process of Manufacturing Industry Globalization

2019 ◽  
pp. 109-139
Author(s):  
Irena Pekarskiene ◽  
Rozita Susniene ◽  
Asta Saboniene ◽  
Akvile Cibinskiene
Keyword(s):  
Manufacturing Industry

scholarly journals The Role of Internal Control in Firms’ Coping with the Impact of the COVID-19 Pandemic: Evidence from China

2021 ◽  
Vol 13 (11) ◽  
pp. 6294
Author(s):  
Peiqing Zhu ◽  
Jianbo Song
Keyword(s):  
Internal Control ◽  
Manufacturing Industry ◽  
Firm Heterogeneity ◽  
Negative Impact ◽  
Risk Prevention ◽  
High Tech ◽  
Obvious Effect ◽  
The Difference ◽  
The Impact

Internal control plays a role in risk prevention for firms when dealing with serious emergencies, which ensures the sustainable development of firms during a crisis. Based on the rapid outbreak of COVID-19 in China, this paper empirically tests whether internal control alleviates the negative impact of the pandemic on firm performance. Using a sample of Chinese listed firms from the first quarter of 2019 to the third quarter of 2020 and employing the difference-in-difference (DID) method, we find that the firms with a higher quality of internal control achieve better financial performance during the pandemic period; the more serious the pandemic is, the more obvious effect internal control plays. Furthermore, we consider the industry heterogeneity and firm heterogeneity of the risk resistance effect of internal control. In the manufacturing industry, which is a “disaster zone” of the pandemic, and the non-high-tech industry with a low degree of digitization, internal control can play a more important role in firms’ performance. Moreover, for state-owned enterprises, and firms with strong financing constraints, the role of internal control is more prominent. The above results provide empirical evidence for the risk prevention function of internal control and shed new light on the measures for firms to resist emergencies in the future.

scholarly journals The Role of Managerial Commitment and TPM Implementation Strategies in Productivity Benefits

2018 ◽  
Vol 8 (7) ◽  
pp. 1153 ◽  
Author(s):  
José Díaz-Reza ◽  
Jorge García-Alcaraz ◽  
Liliana Avelar-Sosa ◽  
José Mendoza-Fong ◽  
Juan Sáenz Diez-Muro ◽  
...  
Keyword(s):  
Least Squares ◽  
Structural Equation Model ◽  
Preventive Maintenance ◽  
Latent Variables ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Implementation Strategies ◽  
Equation Model ◽  
Total Productive Maintenance

The present research proposes a structural equation model to integrate four latent variables: managerial commitment, preventive maintenance, total productive maintenance, and productivity benefits. In addition, these variables are related through six research hypotheses that are validated using collected data from 368 surveys administered in the Mexican manufacturing industry. Consequently, the model is evaluated using partial least squares. The results show that managerial commitment is critical to achieve productivity benefits, while preventive maintenance is indispensable to total preventive maintenance. These results may encourage company managers to focus on managerial commitment and implement preventive maintenance programs to guarantee the success of total productive maintenance.

Total Productive Maintenance: Competing or Complementary to other Initiatives?

2013 ◽  
Vol 315 ◽  
pp. 472-476
Author(s):  
Adnan Hj. Bakri ◽  
Abdul Rahman Abdul Rahim ◽  
Noordin Mohd Yusof
Keyword(s):  
Large Scale ◽  
Manufacturing Industry ◽  
Short Review ◽  
The Other ◽  
Total Quality ◽  
Total Productive Maintenance ◽  
Quality Initiatives ◽  
Practical Applications ◽  
Manufacturing Organization

The objective of this short review paper is to examine the practical applications of Total Productive Maintenance (TPM) in the manufacturing industry. In this short review, an attempt was made to critically discuss the previous literatures related to TPM with the other established quality initiatives in the manufacturing, such as Total Quality Management (TQM) and Just-In-Time practice (JIT). This literature review-based research revealed an important research gaps related to TPM. The significance role of TPM as an important complementary to either TQM or JIT initiative is observed not been well addressed in the available literatures. Most of the researches available investigate these initiatives separately, focuses on the other element rather than addressing on the significant role of TPM as one of the main thrust. The separate implementation of such quality initiatives in the manufacturing organization means the requirement of large scale human, financial and technical resources as well the associated problems of running competing project in the company. The outcomes from this review justify the needs of further research in the area of TPM integration with other available initiatives, to further enhance its methodology aimed at solidifying its philosophy towards more realistic practical applications.

scholarly journals Production Technology and Competitiveness in the Hungarian Manufacturing Industry

2005 ◽  
Vol 55 (3) ◽  
pp. 317-340 ◽  
Author(s):  
Annamária Artner
Keyword(s):  
Manufacturing Industry ◽  
Field Research ◽  
High Technology ◽  
Firm Level ◽  
Major Threat ◽  
Technological Level ◽  
Production Effects ◽  
The Competitiveness Of Enterprises ◽  
Depth Interviews

Following the big transformations of the 1990s, enterprise structure and technological level seem to have become stabilised in Hungary. Under these circumstances it is especially interesting to identify the elements responsible for competitiveness in general, and the role technology plays in development in particular, according to managers experienced in production and marketing. This empirical study - based on in-depth interviews and field research - summarises characteristics of the technological level in the sectors examined, role of technology and labour in production, effects of foreign direct investment, relations between competition and firm-level factors determining competitiveness, and concludes by summing up those most frequently mentioned proposals that should be incorporated into economic policy according to managers. Main findings indicate that more qualified, more intensive and cheaper labour can be substituted for high technology. The competitiveness of an enterprise is not determined by technology alone, but rather by a combination of technology, the parameters of available labour and the costs of investment increasing productivity. The insufficiency of inter-company relations, together with a shortage of available assets necessary for investment constitute the major threat undermining the competitiveness of enterprises in present-day Hungary.

A New View on Economic Competitiveness

2011 ◽  
pp. 5-48
Author(s):  
Ferruccio Marzano ◽  
Cristiano Colombi
Keyword(s):  
Manufacturing Industry ◽  
Essential Role ◽  
Input Output ◽  
Demand And Supply ◽  
Goods And Services ◽  
Economic Competitiveness ◽  
Empirical Level ◽  
The Impact ◽  
The Empirical Analysis

The paper refers to the construction of some Indexes of Competitiveness and their application to the empirical analysis of the behaviour of Italian manufacturing industry in recent years. The idea is that an essential role in competitiveness is played by the specific characteristics of the goods and services concerned. With particular reference to competition between a mature economy (like Italy) and an emergent one (e.g. like China), attention is specifically directed to the behaviour of goods' demand and supply according to their characteristics. Then, an extended Leontief Input-Output model is pursued including the impact of goods' characteristics. At the empirical level, the role of goods' characteristics is analysed as to the behaviour of competitiveness of Italian manufacturing products in the period from 2000 to 2008.

Specialization vs. Diversification Decision Making

2014 ◽  
pp. 16-44
Author(s):  
Dimitris Folinas ◽  
Mohammed Althrawa
Keyword(s):  
Decision Making ◽  
Manufacturing Industry ◽  
Decision Makers ◽  
Risk Avoidance ◽  
Industry Type ◽  
Industrial Cities ◽  
Export Policies ◽  
Import And Export ◽  
Returns On Investment

This chapter has two main aims: first, to explore the role of various economical, financial, and strategic forces influencing firms towards diversification and specialization decision making within the Saudi Arabian manufacturing industry, and second to assess the challenges for both types of companies at the time of decision making and afterwards. Surveying 100 decision makers in the industrial cities of Riyadh using questionnaires developed for both groups, the chapter initially attempts to identify the factors that had the greatest impact on firm performance based on firm returns on investment. Several factors were found significant; first, attempts of specialization were found associated with risk avoidance and managers craving to achieve industry dominant economic features, whilst results show an increased concern among diversified firm decision makers towards changes in import and export policies and regulations. Moreover, industry type was found effective in managerial responses as they weigh the role of the factors presented to the direction of the expansion made.

Current Trends

2019 ◽  
pp. 181-198
Author(s):  
Jayanthi Jagannathan ◽  
Anitha Elavarasi S.
Keyword(s):  
Machine Learning ◽  
Manufacturing Industry ◽  
Predictive Analytics ◽  
Process Industry ◽  
Healthcare Industry ◽  
Current Trends ◽  
Smart Campus ◽  
Industry Automation ◽  
The Internet Of Things

This chapter addresses the key role of machine learning and artificial intelligence for various applications of the internet of things. The following are the most significant applications of IoT: (1) manufacturing industry: automation of industries is on the rise; there is an urge for analyzing the energy in the process industry; (2) anomaly detection: to detect the existing fault and abnormality in functioning by using ML algorithms thereby avoiding the adverse effect during its operation; (3) smart campus: in-order to efficiently handle the energy in buildings, smart campus systems are developed; (4) improving product decisions: with the help of the predictive analytics system products are designed and developed based on the user's requirements and usability; (5) healthcare industry: IoT with machine learning provides numerous ways for the betterment of the human wellbeing. In this chapter, the most predominant approaches to machine learning that can be useful in the IoT applications to achieve a significant set of outcomes will be discussed.

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