Journal articles on the topic 'Determinants of Manufacturing Development'

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1

AIYEDOGBON, John O., and Sarah O. ANYANWU. "Macroeconomic Determinants of Industrial Development in Nigeria." Nile Journal of Business and Economics 1, no. 1 (March 7, 2016): 37. http://dx.doi.org/10.20321/nilejbe.v1i1.44.

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<p>The paper focuses on the impact of macroeconomic determinants on industrial productivity in Nigeria for the period, 1981-2013. It was discovered that while the Nigerian government had embarked on a number of industrial development strategies with the sole purpose of boasting industrial productivity in Nigeria, they seem to have yielded little or no result. The macroeconomic variables in the study include industrial production index, exchange rate, consumer price index, interest rate, broad money supply, foreign direct investment, credit to manufacturing sector and gross domestic product. The study employed OLS technique and found that exchange rate exert significant positive impact on industrial productivity in Nigeria. Also, the impact of interest rate, FDI and real GDP on industrial production index is positive. On the other hand, consumer price index, broad money supply and credit to manufacturing sector exert negative impact on industrial development in Nigeria. The paper recommended that a workable M2 that can enhance credit to manufacturing sector and at the same time control interest rate to boast investment should be determined.</p>
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SMITH, Heather. "THE DETERMINANTS OF MANUFACTURING PROTECTION IN TAIWAN." Developing Economies 36, no. 3 (September 1998): 305–31. http://dx.doi.org/10.1111/j.1746-1049.1998.tb00221.x.

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Söderbom, Måns, Francis Teal, and Alan Harding. "The Determinants of Survival among African Manufacturing Firms." Economic Development and Cultural Change 54, no. 3 (April 2006): 533–55. http://dx.doi.org/10.1086/500030.

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Ismail, Rahmah, and Ragayah Haji Mat Zin. "Earnings Differentials Determinants Between Skills in the Malaysian Manufacturing Sector." Asian Economic Journal 17, no. 4 (December 2003): 325–40. http://dx.doi.org/10.1111/j.1467-8381.2003.00189.x.

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Mukiwihando, Rynalto. "DETERMINANTS OF JAPAN MANUFACTURING EXPORT PERFORMANCE." E-Mabis: Jurnal Ekonomi Manajemen dan Bisnis 22, no. 1 (October 30, 2019): 174–85. http://dx.doi.org/10.29103/e-mabis.v20i2.438.

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Export has been believed as an ultimate engine for economic growth. There are many tools to boost export performance. Among of them are foreign networks, RD activities and firms’ size. A bigger opportunity of overseas market, innovative products and competitive prices are the expected outcome of applying those aforementioned settings within the segmented businesses. This paper aims to obtain empirical insight of the factors that may influence export performance. Employing Japanese manufacturing sector export performance, as one of the leading industries in the world, the study explore the linkage between those three preceding factors to export performance improvement in Japan. Study results shows that research and development activities as well as firm’s size play critical roles within the improvement of Japanese manufacturing export performance. Whereas foreign networks, which denoted by foreign subsidiaries, has an insignificant positive contribution to export performance. Future studies may give in-depth focus on the foreign networks issues within a longer period of study. The implication of this study is addressing these two essential issues, RD activities and firms’ size, to the policy making processes in achieving optimal results of manufacturing export performance
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Tu, Yu-Xia, Oleksandr Kubatko, Vladyslav Piven, Iryna Sotnyk, and Tetiana Kurbatova. "Determinants of Renewable Energy Development: Evidence from the EU Countries." Energies 15, no. 19 (September 27, 2022): 7093. http://dx.doi.org/10.3390/en15197093.

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Sustainable development of the global economy can be achieved with the help of renewable energy (RE). The paper investigates the determinants of RE development in order to boost its adoption. The determinants of RE deployment were analyzed using random-effects GLS regression for the panel data from 27 EU member states in 2011–2020.The results confirm that economic development and high employment in advanced technology manufacturing are drivers of the RE sector, whereas unemployment growth affects RE deployment negatively. Our results show that active political participation and economic freedom promote RE; however, the level of corruption and democracy does not have a statistically significant impact on it. Favorable geographical location was proved to be a determinant of RE development. The hypothesis that plenty of natural resources discourage countries to develop RE was disproved. The major policy implications for RE promotion include the importance of economy deregulation, open market development and educational transformations. Following the results, prospects for further research were outlined.
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Beeson, Patricia E., and Steven Husted. "PATTERNS AND DETERMINANTS OF PRODUCTIVE EFFICIENCY IN STATE MANUFACTURING*." Journal of Regional Science 29, no. 1 (February 1989): 15–28. http://dx.doi.org/10.1111/j.1467-9787.1989.tb01219.x.

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Ghobakhloo, Morteza, Masood Fathi, Dalila Benedita Machado Martins Fontes, and Ng Tan Ching. "Modeling lean manufacturing success." Journal of Modelling in Management 13, no. 4 (November 5, 2018): 908–31. http://dx.doi.org/10.1108/jm2-03-2017-0025.

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Purpose The purpose of this study is to contribute to the existing knowledge about the process of achieving Lean Manufacturing (LM) success. Design/methodology/approach This study uses interpretive structural modeling and captures the opinions of a group of LM experts from a world-class Japanese automobile manufacturer, to map the interrelationships among potential determinants of LM success. This study further uses the data from a survey of 122 leading automobile part manufacturers by performing structural equation modeling to empirically test the research model proposed. Findings Management support and commitment, financial resources availability, information technology competence for LM, human resources management, production process simplicity, supportive culture and supply chain-wide integration are the key determinants that directly or indirectly determine the level of achievement of LM success. Research limitations/implications The determinants of LM success as experienced by Asian automobile manufacturers might be different from determinants of LM success as experienced by Western automobile manufacturers. An interesting direction for future research would be to capture the experts’ inputs from Western automobile manufacturers to complement the findings of this study. Practical implications The practical contribution of this study lays in the development of linkages among various LM success determinants. Utility of the proposed interpretive structural modeling and structural equation modeling methodologies imposing order, direction and significance of the relationships among elements of LM success assumes considerable value to the decision-makers and LM practitioners. Originality/value Building on opinions of a group of LM experts and a case study of leading auto part manufacturers, the present study strives to model the success of LM, a topic that has received little attention to date.
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9

Choi, Kate Koeun, and Seung-Hun Yu. "Empirical Study on New Product Development and the Corporate Value of Korean Export Manufacturing Firms." Korea International Trade Research Institute 18, no. 4 (August 31, 2022): 73–93. http://dx.doi.org/10.16980/jitc.18.4.202208.73.

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Purpose - The purpose of this paper is to examine the impact of new product development on corporate value, by analyzing the stock market response to the announcement of new product developments. Design/Methodology/Approach - Based on the event study methodology, the empirical analysis sampled 442 new product announcements made by 150 export manufacturing firms listed on the KOSPI and KOSDAQ markets in Korea, for the period 2001-2020. Findings - The results support the first hypothesis that the announcement of new product has a positive effect on abnormal returns. In terms of the determinant of the abnormal returns, the firm-specific variables investment opportunities and debt ratio were positively associated, and firm size and free cashflow variables were negatively related to abnormal returns. Being in a high-tech industry was found to have a positive impact. In terms of the Competitive Strategy Measure, the result supported the hypothesis that strategic substitute competition has a greater positive impact on the abnormal return of the announcing firms. R&D intensity and firm dominance were found to be insignificant. The magnitude of newness embedded in a new product was also found to be insignificant. Research Implications - This study further extends the existing literature in that it empirically tested the role of a new product on corporate value, and provides an empirical analysis of the determinants that affect the announcing firm’s abnormal returns gained in response to new product announcement, including firm-related variables and the competitive nature of the market.
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MAC AN BHAIRD, Ciarán, and Declan CURRAN. "SECTORAL DIFFERENCES IN DETERMINANTS OF EXPORT INTENSITY." Journal of Business Economics and Management 17, no. 2 (April 8, 2016): 299–313. http://dx.doi.org/10.3846/16111699.2015.1070196.

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This study investigates firm characteristic determinants of export intensity in small firms. The originality of our approach is a comparative analysis of export intensity between firms in the computer software and manufacturing sectors, using a quasi-maximum likelihood estimation to test for the correct specification of the conditional mean model. Results indicate that larger, younger firms have greater export intensity in the computer software sector than in manufacturing. Research and development expenditure is equally important for export intensity in both sectors, but patent income is not significant. Sourcing managerial advice and expertise from the national development agency is important for firms in the manufacturing industry, but not for computer software firms. It is therefore important for export promotion organisations to publicise supports, as few small firms are aware of their availability. Our findings are especially valuable for policy makers concerned with low levels of export intensity among small firms.
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Williams, Martin, and Anthony Scaperlanda. "THE DETERMINANTS OF CAPITAL INTENSITY IN FOREIGN-OWNED MANUFACTURING ACROSS U.S. REGIONS." Review of Urban & Regional Development Studies 7, no. 1 (January 1995): 35–49. http://dx.doi.org/10.1111/j.1467-940x.1995.tb00061.x.

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Fok-Yew, Oon. "The Determinants of New Product Performance in Malaysian Industry." JAS (Journal of ASEAN Studies) 2, no. 2 (December 20, 2014): 49. http://dx.doi.org/10.21512/jas.v2i2.296.

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The literature on new product development is growing but Malaysia manufacturing industry often lacks these discussions. Therefore, this paper focuses on linking the determinants of an effective product development process and new product performance within manufacturing companies across industries in Malaysia that have certain level of new product development activities taking in their organization. Further, the paper organises the burgeoning new product development literature into four main determinants: customer orientation, cross-functional team, new product development team proficiency and management support. The selection of determinants to the theoretical framework is adjusting for manufacturing industry origins in previous written research material. The literature review focuses on the product development process and builds the framework of conceptual model detailing the initialization and implementation stage in the product development process. Two theoretical perspectives have guided the conceptual framework which is the resource-based view and organizational theories. The proposal is to give an increased understanding of the changed new product process in Malaysian industry and its implication on activities concerning organisation and management of the new product development process. This framework reflects a growing interest in extending new product development paradigms to emerging in ASEAN countries, thus contributing to a wider body of knowledge.
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13

Oczkowski, Edward, and Kishor Sharma. "Determinants of Efficiency in Least Developed Countries: Further Evidence from Nepalese Manufacturing Firms." Journal of Development Studies 41, no. 4 (May 2005): 617–30. http://dx.doi.org/10.1080/00220380500092721.

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14

Meyer, Wolfgang. "The Wage Gap in Manufacturing in Germany: Size and Determinants." Labour 11, no. 3 (November 1997): 561–77. http://dx.doi.org/10.1111/1467-9914.00050.

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Lorentz, Harri, Juuso Töyli, Tomi Solakivi, and Lauri Ojala. "Priorities and determinants for supply chain management skills development in manufacturing firms." Supply Chain Management: An International Journal 18, no. 4 (June 11, 2013): 358–75. http://dx.doi.org/10.1108/scm-03-2012-0111.

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Munongo, Simon, and Shallone K. Chitungo. "Determinants of technical efficiency in the Zimbabwean manufacturing industries." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 3, no. 1 (January 23, 2013): 26–37. http://dx.doi.org/10.24297/ijmit.v3i1.1387.

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This study investigates the determinants efficiency of manufacturing subsectors in the Zimbabwean economy. The study applied the panel data econometrics approach in the leading manufacturing subsectors from 1980-2005. The technical efficiency estimates using SFA shows that there are varying efficiencies across sub-sectors and through time. The log-likelihood test shows that there existed technical inefficiency in the production processes in the manufacturing sector. This shows that the industries could improve their productive capacities with the same amount of inputs. The study shows that in the Zimbabwean manufacturing industries between 1980 and 2005 industries with strong the human capital development and foreign direct investment flows had higher efficiency. The concentration of foreign owned firms in an industry and capital intensity had no effect on the efficiency of an industry.
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Sitorus, Muhammad Ilham Prasetyo, Ika Pratiwi Simbolon, and Andrianantenaina Hajanirina. "The Determinants of Corporate Cash Holding in Indonesia: Manufacturing Company." JAAF (Journal of Applied Accounting and Finance) 4, no. 2 (September 30, 2020): 120. http://dx.doi.org/10.33021/jaaf.v4i2.1243.

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<p>This research has the purpose of analyzing the cash flow, capital expenditures, liquid assets, tangible assets, bank debt, firm size, research and development, growth opportunities, leverage, cash flow volatility, managerial ownership toward cash holding. The population in this research are all manufacturing firms listed on the Indonesia Stock Exchange (IDX). The sampling technique uses a purposive sampling method, and 78 observations have obtained from 26 companies for the 2016-2018 period. The method used in this research is quantitative. The results of this study indicate that liquid assets, tangible assets, and leverage have significant impact on cash holdings. In contrast, cash flow, bank debt, capital expenditure, firm size, research and development, growth opportunities, cash flow volatility, and managerial ownership do not have significant impact on cash holding.</p>
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18

Ghani, Ejaz, Tariq Mahmood, and Musleh Ud Din Musleh Ud Din. "Market Diversification and Firms’ Characteristics of Export-Oriented Manufacturers in Pakistan." Pakistan Development Review 51, no. 2 (June 1, 2012): 103–15. http://dx.doi.org/10.30541/v51i2pp.103-115.

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This paper explores the determinants of market diversification by export-oriented manufacturing firms using the logistic regression framework. The results show that firm level characteristics including age of the enterprise, managerial expertise, type of ownership, and size of the enterprise play a key role in determining the probability of market diversification by firms. These findings highlight the salience of firm level capacities in achieving export diversification in Pakistan. JEL Classification: F14, L25 Keywords: Exports, Firms, Market Diversification, Manufacturing
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Kotturu, Chandra Mouli V. V., and Biswajit Mahanty. "Determinants of SME integration into global value chains." Journal of Advances in Management Research 14, no. 3 (August 7, 2017): 313–31. http://dx.doi.org/10.1108/jamr-02-2017-0013.

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Purpose In recent years, due to intense competition, small and medium-sized enterprises (SMEs) are unable to meet performance expectations and find difficulty in fulfilling the needs of the original equipment manufacturers (OEMs). Consequently, the growth of the SMEs has slowed down considerably. Constrained by their infrastructural resources, SMEs’ participation in global value chains (GVCs) has the potential to bring significant benefits, such as enhancing technological learning and innovation and generating positive contributions to the development of the SMEs. The purpose of this paper is to explore competitive priorities, key factors, and causal relationships influencing SMEs to enter GVCs. Design/methodology/approach In this paper, the GVC framework is adopted and qualitative feedback loop analysis is used to identify the key factors influencing the competitive factors. A questionnaire survey was carried out with the automotive component manufacturers of a transnational corporation in India. Findings The survey in the automotive component manufacturing industry reveals product quality standards as the most important priority for joining global production networks, followed by price competitiveness, timely delivery, innovativeness, manufacturing flexibility, service, and dependability. The qualitative findings reveal continuous personnel training, capacity expansion, research development, and others as key factors influencing competitiveness. Practical implications To retain SMEs’ role in economic development and to accelerate the growth of global production networks in India, thereby realizing opportunities from the emerging GVCs, support is needed for SMEs regarding the aspects identified in this study. Originality/value The study explores the dynamics of each competitive priority of SMEs in Indian automotive component manufacturing industry to enter the GVCs. No study has explored the dynamics of SMEs competitiveness to enter GVCs in the automotive manufacturing industry.
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Brzozowski, Michał. "Determinants of investment and innovation expenditure in Polish manufacturing industries." Post-Communist Economies 20, no. 2 (June 2008): 219–30. http://dx.doi.org/10.1080/14631370802018981.

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Grether, Jean-Marie. "Determinants of Technological Diffusion in Mexican Manufacturing: A Plant-Level Analysis." World Development 27, no. 7 (July 1999): 1287–98. http://dx.doi.org/10.1016/s0305-750x(99)00054-6.

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Pradhan *, Jaya Prakash. "The determinants of outward foreign direct investment: a firm‐level analysis of Indian manufacturing." Oxford Development Studies 32, no. 4 (December 2004): 619–39. http://dx.doi.org/10.1080/1360081042000293371.

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Duffy, Neal E. "THE DETERMINANTS OF STATE MANUFACTURING GROWTH RATES: A TWO-DIGIT-LEVEL ANALYSIS*." Journal of Regional Science 34, no. 2 (May 1994): 137–62. http://dx.doi.org/10.1111/j.1467-9787.1994.tb00860.x.

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Fu, Dahai, and Yanrui Wu. "Export survival pattern and its determinants: an empirical study of Chinese manufacturing firms." Asian-Pacific Economic Literature 28, no. 1 (April 27, 2014): 161–77. http://dx.doi.org/10.1111/apel.12050.

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Arauzo-Carod, Josep-Maria. "Location determinants of high-tech manufacturing activities: a preliminary analysis." Letters in Spatial and Resource Sciences 2, no. 1 (December 17, 2008): 23–29. http://dx.doi.org/10.1007/s12076-008-0019-z.

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Wang, Xu, Liyan Han, and Libo Yin. "Environmental Efficiency and Its Determinants for Manufacturing in China." Sustainability 9, no. 1 (December 29, 2016): 47. http://dx.doi.org/10.3390/su9010047.

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Jordaan, Jacob A. "Determinants of FDI-induced externalities: New empirical evidence for Mexican manufacturing industries." World Development 33, no. 12 (December 2005): 2103–18. http://dx.doi.org/10.1016/j.worlddev.2005.07.007.

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Kim, Sangho, and Mazlina Shafi’i. "Factor Determinants of Total Factor Productivity Growth in Malaysian Manufacturing Industries: a decomposition analysis." Asian-Pacific Economic Literature 23, no. 1 (May 2009): 48–65. http://dx.doi.org/10.1111/j.1467-8411.2009.01222.x.

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Gamage, Aruna, and Yuri Sadoi. "Determinants of Training and Development Practices in SMEs: A Case of Japanese Manufacturing Firms." Sri Lankan Journal of Human Resource Management 2, no. 1 (January 6, 2013): 46. http://dx.doi.org/10.4038/sljhrm.v2i1.5104.

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Nastiti, Pambayun Kinasih Yekti, Apriani Dorkas Rambu Atahau, and Supramono Supramono. "THE DETERMINANTS OF WORKING CAPITAL MANAGEMENT: THE CONTEXTUAL ROLE OF ENTERPRISE SIZE AND ENTERPRISE AGE." Business, Management and Education 17, no. 2 (October 9, 2019): 94–110. http://dx.doi.org/10.3846/bme.2019.10409.

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Purpose – working capital management plays a vital role in determining the continuity of enterprises’ business activities. Enterprises should manage their working capital efficiently to avoid excessive working capital investments and at the same time, to maintain their liquidity. This study aims to examine the determinants of working capital management and to test the different effects of the determinants of working capital management based on enterprise size and enterprise age. Research methodology – the sample consists of 117 manufacturing enterprises listed at the Indonesian Stock Exchange for the years 2010–2017. Panel data regression was used to test the hypothesis. Findings – the findings reveal that sales growth and economic growth determine working capital management. However, the effects of the determinants of working capital management differ depending on enterprise size and enterprise age. Specifically, economic growth is the only determinant that exhibits different effects on working capital management between different enterprise size and enterprise age subsamples. Meanwhile, besides economic growth, capital expenditure, and operating cash flow are the other enterprise-specific determinants that exhibit different effects on working capital management between the two enterprise age subsamples. Research limitations – this study only measures enterprise size with total assets. Thus, we advise future studies to complement this proxy with other measures such as market value and the listing size criterion (main board vs development board). Further, it is necessary to analyse the non-linear relationship between leverage and working capital management to explain the positive effect of leverage on working capital management. Practical implications – the empirical results suggest that manufacturing enterprises must focus more on their sales growth because it affects their ability to manage their working capital efficiently. Besides, younger manufacturing enterprises need to shorten their cash cycles that are longer relative to old enterprises. Originality/Value – no previous studies have analysed the determinants of working capital management based on enterprise characteristics, especially enterprise size and age. Specifically, in the scientific literature, enterprise size and enterprise age mainly act as the dependent variables.
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Misztal, Anna. "Sustainable development of manufacturing enterprises in the socio-economic context. The case of Poland and Germany." Optimum. Economic Studies, no. 2(108) (2022): 67–79. http://dx.doi.org/10.15290/oes.2022.02.108.05.

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Purpose – The article aims to assess the impact of contemporary external socio-economic deter-minants, including globalization, eco-innovation, social development, and macroeconomic stabilization, on the sustainable development of manufacturing enterprises in Poland and Germany from 2008 to 2020. Research method – This paper is empirical. The survey covers the manufacturing enterprises in Poland and Germany. The first part discusses the conceptual background related to the sustainable deve-lopment of enterprises in a socio-economic context. The empirical part includes the methodology and results of the study. To determine the relationship between socio-economic factors and sustainable development, the author uses the Least Square Method (OLS) and Seemingly Unrelated Regression (SUR). Results – The research results show a statistically significant relationship between the variables. Socio-economic indicators are vital determinants of the sustainable development of manufacturing enter-prises. The models show that the impact of individual exogenous determinants is different in Poland and Germany. Originality/value/implications/recommendations – The statistical assessment of the socio-economic impact on enterprises’ sustainable development is relatively poorly understood. The issue is new, contem-porary and requires further analysis. The exogenous socio-economic factors are important for enter-prises sustainable development. It is important to launch macroeconomic efforts to implement sustain-able development goals. The results show a different impact of socio-economic indicators on the sustainable development of manufacturing enterprises, which may indicate that the enterprise develop-ment depends on many factors that are different in analysed countries.
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Irfan, Mohd, Sarani Saha, and Sanjay Kumar Singh. "Determinants of being acquired in Indian manufacturing sector: a panel data analysis." Journal of Indian Business Research 8, no. 4 (November 21, 2016): 246–63. http://dx.doi.org/10.1108/jibr-11-2015-0118.

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Purpose The purpose of this study is to examine the firms’ determinants of being acquired in Indian manufacturing sector. There is evidence of relationship between likelihood of being acquired and several firm specific characteristics such as age, size, research and development (R&D), advertising intensity, productivity, leverage, profitability, intangible assets and financial constraints. However, little is known about the association between these characteristics and likelihood of acquisition in Indian manufacturing sector. Design/methodology/approach The sample is a panel of 2,189 Indian manufacturing firms spanning almost 10 years (1998-2007). Random effects logistic (REL) regression model is adopted to control the firm specific unobserved heterogeneity in the sample. This is an essential requirement for providing accurate and effective determinants of being acquired. Findings Empirical results reveal that the determinants of being acquired in Indian manufacturing sector are age, size, R&D intensity, advertising intensity, productivity and leverage. The findings indicate that increase in firms’ age, size, R&D intensity and advertising intensity increases the likelihood of being acquired. However, increase in productivity and leverage decreases the likelihood of being acquired. Research limitations/implications Findings of this study may be useful for potential targets to arrive at more thoughtful assessment of their attractiveness and, accordingly, promote their acquisition as a more efficient mode of exit. Originality/value The paper contributes some empirical evidence on the determinants of being acquired in Indian manufacturing sector by using panel data and REL regression model.
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MANRESA, ALBA, ANDREA BIKFALVI, and ALEXANDRA SIMON. "THE USE AND DETERMINANTS OF TRAINING AND DEVELOPMENT FOR CREATIVITY AND INNOVATION." International Journal of Innovation Management 22, no. 07 (October 2018): 1850062. http://dx.doi.org/10.1142/s1363919618500627.

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Human Resource Management (HRM) practices are considered as a possible contributor to firm success. Further research is needed in this field to address how HRM practices contribute to a firm’s ability to be creative and innovative. The first objective of this paper is to map the implementation of training and development practices for creativity and innovation (TD4CI) in manufacturing and the second is to analyse the factors that most influence this implementation. The study, based on the Spanish sub-sample of the European Manufacturing Survey, demonstrates the unexhausted potential of TD4CI as a step prior to innovation. The results show that one third of the companies currently use TD4CI and that this figure is rising. Most of the firms, however, have not put these practices into place and they have no intention of doing so. Regarding the determinants that influence the studied practices, the results show that there are some significant factors, for example new products or services being introduced within the company in the previous three years, that positively affect all the practices. Other determinants are individually significant, for instance the complexity of the product. Some factors, on the other hand, such as size or single unit production, do not appear to influence any of the practices studied so far. The value of this research lies in the up-to-date, relevant figures it provides regarding the implementation and dissemination of TD4CI.
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Guimaraes, Tor, Ketan Paranjape, Mike Cornick, and Curtis P. Armstrong. "Empirically Testing Factors Increasing Manufacturing Product Innovation Success." International Journal of Innovation and Technology Management 15, no. 02 (April 2018): 1850019. http://dx.doi.org/10.1142/s0219877018500190.

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Purpose: Important determinants of new product development success fall into five main areas encompassing strategic leadership, competitive intelligence, management of technology, specific characteristics of the company's innovation process, and the company's absorptive capacity to use available knowledge to produce and commercialize new products. Unfortunately the existing knowledge on each of these five areas is not being shared by researchers in the other areas, thus the models are focused on the particular research area. This study tests these constructs as a set of determinants of product innovation success. Design/methodology/approach: A field test using a mailed questionnaire to collect a relatively large sample of manufacturing companies has been used to test the proposed model. To eliminate possible multicollinearity among the independent variables, a multivariate regression analysis was used. Findings: The results provide clear evidence about the importance of competitive intelligence, strategic leadership, competitive intelligence, management of technology, specific characteristics of the company's innovation process, and company absorptive capacity with company success in new product development. Research limitation/implications: Despite the relatively broad scope of the proposed model, other factors may also be important and should be included in future studies. Practical implications: The items used for measuring the main constructs provide further and more specific insights into how managers should go about developing these areas within their organizations. Originality/value: While the study is grounded in the literature of what until now have been five separate areas of knowledge, it proposed a unique integrated model for these areas important to new product development.
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Iqbal, Nasir, and Masood Sarwar Awan. "Determinants of Urban Poverty: The Case of Medium Sized City in Pakistan." Pakistan Development Review 54, no. 4I-II (December 1, 2015): 719–38. http://dx.doi.org/10.30541/v54i4i-iipp.719-738.

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The process of urbanisation has dual impact on the development process of an economy. Initially, it encourages the workers to switch from low productive sector i.e. agriculture to high productive sectors like services and manufacturing [Becker, et al. (1994)]. Subsequently, it generates formidable problems for residents by depriving them of access to essential basic needs [Egziabher (2000)]. It is also observed that the poor try to urbanise faster as compared to the whole population [Ravallion (2007)] and this urbanisation process leads toward the emergence of urban poverty. Urban poverty is distinct from the rural poverty with respect to its incidence, economic, demographic and political aspects. The urban poverty can be controlled by developing the clear understanding of its nature, magnitude and intensity
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Hasan, Rana, Devashish Mitra, and Asha Sundaram. "The Determinants of Capital Intensity in Manufacturing: The Role of Factor Market Imperfections." World Development 51 (November 2013): 91–103. http://dx.doi.org/10.1016/j.worlddev.2013.05.012.

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Tao, Yong Mei, and Yu Hong. "Determinants of Organizational Innovation Performance in Chinese Manufacturing Enterprises: A Survey Study." Applied Mechanics and Materials 468 (November 2013): 167–70. http://dx.doi.org/10.4028/www.scientific.net/amm.468.167.

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Manufacturing engineering refers to design the production process for a product including all considerations pertaining to the process of production. Along with the rapid development of global economic integration, manufacturing enterprises in our country are under increasing pressure. In today's ever-changing competitive environment, taking initiative innovation is an important way to improve competitiveness of manufacturing enterprises. Staff's innovation behavior is the most important factor in an organization in innovation. Data from samples of 715 subjects were analyzed through the software of SPSS16.0 and AMOS17.0. The samples are from different regions and industry in our country. It reveals the generation mechanism of individual innovation behavior (IIB) such as to develop new materials and new energy in manufacturing enterprises. In a favorable organizational innovation climate, it is effective to improve innovation management by encouraging affective commitment (AC) of staff.
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38

Bondarenko, Svitlana, Olena Makoveieva, Viktoriia Niziaieva, and Anna Vorona. "High-tech manufacturing as a determinant of the economic development." Journal of Scientific Papers "Social development and Security" 10, no. 1 (February 29, 2020): 101–12. http://dx.doi.org/10.33445/sds.2020.10.1.12.

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The aim of the article is to study high-tech production as determinants of the country's economy. The article proves that one of the important factors in the development of the Ukrainian economy is highlighting the development of high-tech production as a priority of the state policy, which will provide opportunities for entering new markets with highly competitive products. A historical analysis of economic phenomena in the global aspect, the possibility of applying experience in the economy of Ukraine. For Ukraine, the experience of the economic miracle of South Korea, which also survived the experience of war, may be interesting. Now the country is among the 12 strongest countries in terms of GDP in the world, at 5th place in the world in the export of high-tech products. The country was called an example of successful government intervention in the economy. The experience of the economic miracle of Singapore is also considered. For 50 years, Singapore has turned from a poor country into a world leader in high-tech industries, such as electronics and pharmaceuticals, and has become the largest financial and oil refining center. Singapore’s modernization was ensured by efforts in four key areas: economic reforms, which determined the vector of investment and innovation development, social modernization, an effective fight against corruption and political stability. The government has relied on attracting foreign investors, developing the financial market and high-tech industries. Simple and transparent business registration and regulation procedures have been adopted in Singapore. It is believed that Singapore owes its success to competent public policy. The article considers the possibilities for the transition of the Ukrainian economy to a new level of development. One of the important competitive advantages for Ukraine is a strong and internationally recognized IT industry, human capital. According to statistics, the main industries that fill the country's budget are metallurgy, the agricultural sector, food and IT. You can also add woodworking and chemical industries, whose share in the state budget is also large. In recent years, these industries have begun to use high technology more and more because of the need to compete in the global market with more developed companies. At the same time, there are no programs at the state level for the introduction of high technologies in the real sector of the economy. Now enterprises independently invest in their innovations. It is possible to launch a revolution in industrial production only by introducing advanced production technologies, which are called “breakthrough”, emphasizing their revolutionary influence on the structure of production. Today in Ukraine there is a fragmented approach to innovative development. Therefore, the task for the public administration system should be the allocation of priority areas for industrial development, the development of effective mechanisms for the development of production of high value-added products. High-tech production deserves special attention.
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Lee, Zon-Yau, Mei-Tai Chu, Shiuann-Shuoh Chen, and Chih-Hung Tsai. "Identifying Comprehensive Key Criteria of Sustainable Development for Traditional Manufacturing in Taiwan." Sustainability 10, no. 9 (September 13, 2018): 3275. http://dx.doi.org/10.3390/su10093275.

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The traditional manufacturing industry has suffered from changing global demands and rapid technology upgrades. It is critical to incorporate innovation into contemporary manufacturing for sustainable development. A comprehensive interpretation of the determinants and directions of technical change is greatly needed. Therefore, this study aims to explore innovative applications that can enhance the value of manufacturing and examine the key factors associated with these innovations. In this paper, three traditional manufacturing industries are analyzed using the research methodologies analytic hierarchy processing (AHP) and Decision Making Trial and Evaluation Laboratory (DEMATEL), resulting in a set of six key criteria for innovative manufacturing. The causal relationships considering the six criteria in three industries are analyzed. The main contribution of this study is to establish a new framework for the sustainable development of traditional manufacturing industries. This could help to support conceptual innovation in these industries and establish a pragmatic approach to increase sustainable development. From the research results, the following suggestions can be made. The traditional manufacturing industries in Taiwan should focus on design and innovation. This can enhance the value-added and international competitiveness of industrial chains, enterprises, and products. Ultimately, it can lead to the sustainable development of Taiwan’s traditional industries.
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40

Musleh ud Din, Mr, Ejaz Ghani, and Tariq Mahmood. "Determinants of Export Performance of Pakistan: Evidence from the Firm-Level Data." Pakistan Development Review 48, no. 3 (September 1, 2009): 227–40. http://dx.doi.org/10.30541/v48i3pp.227-240.

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This paper explores the determinants of export performance at the level of firms in respect of their characteristics and supply side constraints. The analysis is based on a survey of export-oriented firms in four major sectors. The results indicate a relationship between the better performance of foreign-owned firms to their better know-how and resources compared to the domestically owned firms. Export performance is positively affected by the level of investment in market/client oriented technologies. Lack of certification of product and process standards is the main supply side constraint adversely affecting the firms’ export performance. Facilitation measures like export processing zones, internationally recognised testing labs, and industrial clusters would be helpful in improving the export performance of firms. JEL classification: F1, L1, L6 Keywords: Trade, Exports, Firms, Performance, Manufacturing
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Bigsten, Arne, and Mulu Gebreeyesus. "The Small, the Young, and the Productive: Determinants of Manufacturing Firm Growth in Ethiopia." Economic Development and Cultural Change 55, no. 4 (July 2007): 813–40. http://dx.doi.org/10.1086/516767.

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42

Wheat, Leonard F. "THE DETERMINANTS OF 1963–77 REGIONAL MANUFACTURING GROWTH: WHY THE SOUTH AND WEST GROW*." Journal of Regional Science 26, no. 4 (November 1986): 635–59. http://dx.doi.org/10.1111/j.1467-9787.1986.tb01067.x.

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43

Umar, Azmi, Che Mohd Syaharuddin Che Cob, Che Mohd Zulkifli Che Omar, and Mohd Sahandri Gani Hamzah. "Determinants of Entrepreneurial Competencies Development in Small and Medium Enterprises." International Journal of Business and Management 14, no. 1 (December 19, 2018): 147. http://dx.doi.org/10.5539/ijbm.v14n1p147.

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This paper is to investigate the impact of key factors that influence the development of entrepreneurial competencies in Malaysian SMEs, both in the manufacturing sector and services sector. This is vital because the economy of Malaysia is partially depending on the contribution of SMEs and the roles played by SMEs. The statical sample population of this research includes 407 owners and manager involved in SMEs. For data collection, a standard questionnaire using seven-point Likert scale and 72 items were used to evaluate 12 entrepreneurial competencies and four items that influence the development of entrepreneurial competencies. Data were analyzed using SPSS version 21 and SEM-Amos version 21. The results confirmed, education was significantly affecting the development of entrepreneurial competencies among entrepreneurs, while the training before business set-up, training after business set-up and work experience have no effect on the development of entrepreneurial competencies. The results contributed to the development of theoretical contribution and knowledge base, as well as offering results that will be of interest to research and policy communities. The results are limited to quantitative, using cross-sectional data. The direction for future research are also suggested.
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44

Gmelin, Harald, and Stefan Seuring. "Determinants of a sustainable new product development." Journal of Cleaner Production 69 (April 2014): 1–9. http://dx.doi.org/10.1016/j.jclepro.2014.01.053.

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45

Sudolska, Agata, and Justyna Łapińska. "Exploring Determinants of Innovation Capability in Manufacturing Companies Operating in Poland." Sustainability 12, no. 17 (August 31, 2020): 7101. http://dx.doi.org/10.3390/su12177101.

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The innovation capability of a company is considered the determinant of its competitiveness in the long-term. Therefore, it is of increasing importance to understand the critical variable behind a firm’s innovation capability. The paper explores these issues and contributes to the research on the factors that drive a company’s innovation capability. The aim of the paper is to identify which factors determine the innovation capability of manufacturing enterprises operating in Poland. In the theoretical part, it provides an overview of recent contributions to the literature on a company’s innovation capability enhancers. The empirical contribution of the paper refers to recognising the relationship between the certain practices pursued by Polish manufacturing enterprises and their innovation capability measured by innovation output. Using a model for panel data, the study finds that that the factors driving innovation capability of manufacturing enterprises operating in Poland are the following: inter-organisational cooperation, hiring employees in research and development (R&D) activities as well as firms’ internal expenditures on R&D. The study is based on the data from publications of the Central Statistical Office of Poland, which contain information on the activities of manufacturing enterprises and reports presenting the results of research on the innovation capability of enterprises.
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Zhang, Guanghong, and Yune Lee. "Determinants of Financial Performance in China’s Intelligent Manufacturing Industry: Innovation and Liquidity." International Journal of Financial Studies 9, no. 1 (March 8, 2021): 15. http://dx.doi.org/10.3390/ijfs9010015.

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This study focuses on the mediation channels through which the financial performance of intelligent manufacturing industries closely related to the Fourth Industrial Revolution has been affected. Along with compiling a massive volume of datasets publicized by the Chinese government and other authoritative institutions, a survey of the 317 listed enterprises of the intelligent manufacturing industries in China has been established for statistical analysis. Using Structural Equation Modeling (SEM), this research tests six hypotheses and confirms the inter-factor impact relationship between exogenous and endogenous factors. We find that innovation efforts mainly led by increasing investment in Research & Development (R&D), along with high liquidity, surely lead to good financial performance, whereas innovation efforts alone do not. Government support policy has been found to be closely related not only to higher liquidity, but to good financial performance through the common channel of R&D investment. Regional innovation capability has been revealed to be related to R&D investments, and, furthermore, to liquidity, which shows that the regional innovation system in China has been functioning relatively well to induce enterprises to increase investments and secure higher liquidity, and finally contribute to achieving better business performance. However, regional economic development shows no relationship with R&D investments, and consequently neither with liquidity nor with performance.
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47

Yamada, Hirokazu. "Empirical Study on the Determinants of Industrial Research and Development Expenditures." International Journal of Systems and Service-Oriented Engineering 7, no. 1 (January 2017): 45–57. http://dx.doi.org/10.4018/ijssoe.2017010103.

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This study focuses on the wide range of manufacturing industries in Japan and hypothesized the numerous factors external to a corporation particularly for abstracting the determinants of research and development (R&D) expenditures. Previous studies primarily dealt with internal corporate factors such as sales, operating profits, or diversification. This study selected, integrated, and performed multiple regression analyses for nine industries based on the panel data concerning R&D expenditures. This resulted in the abstraction of statistically significant factors. R&D expenditures in the preceding term are an internal factor. This could be considered a comprehensive and continuous indicator of the scale of a corporation, its performance, its fixed R&D expenditures and corporate strategies. External factors cited are growth of the market, competitiveness, export dependency, labor intensity, and whether products are directed toward end-customers. This study would especially aid in deciding the R&D strategy as an aspect of the company expenses.
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Alhamad, Abdullah, and Hashed Mabkhot. "Determinants of Product Innovation Performance in Aviation Industry in Saudi Arabia." Economies 11, no. 2 (February 8, 2023): 57. http://dx.doi.org/10.3390/economies11020057.

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Innovative technology significantly transforms numerous activities and operations in the logistics sector across various industries, including the aviation sphere. This primary quantitative research aimed to explore the evolution of logistics and supply chain management in the digital age for aviation companies in Saudi Arabia. The research involved conducting a survey among 104 supply chain and technology personnel from Saudi Cargo and its affiliate firms in Saudi Arabia. Partial least squares (PLS–SEM) was used for data analysis to determine the relationships between three independent variables: market intelligence quality (MIQ), manufacturing–marketing coordination (MMC), and supply chain intelligence quality (SCIQ), with product innovation performance (PIP) as the dependent variable. The results indicated that SCIQ and MIQ have a positive and significant statistical relationship with PIP. Nonetheless, the findings disproved that the MMC gives insights into consumer needs directly affecting PIP. From this study, it can be concluded that aviation companies should improve their supply chain systems, marketing domain, and manufacturing marketing coordination to realize the improved performance of their product innovations in the contemporary digital era.
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Drozd, Radoslaw, and Radoslaw Wolniak. "Systematic Assessment of Product Quality." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 4 (December 2, 2021): 235. http://dx.doi.org/10.3390/joitmc7040235.

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The article describes an innovative metrizable idea for systemic assessments of product quality within the baking industry. Complex product quality analysis requires the employment of metrizability criteria for factors that impact the quality of the product, and these are called determinants. Therefore, such analysis is only possible with the use of systems engineering. A system represents the potential of a manufacturing process, of major impact on quality. Composites of the manufacturing process make up the determinants of bread quality, grouped into three sets: raw materials, manufacturing technology, and manufacturing organization and technique. This paper also contains methodological implications for the construction of algorithms for manufacturing process potential determinants. Metrizable product quality assessment is a very important issue in the context of its implementation in manufacturing companies. Its use allows for obtaining comprehensive data on the quality status of a product. It is an important tool for analyzing and forecasting modern quality trends. The method presented in the article is new, innovative, and practical; and its vector representation may prove useful in Quality 4.0. The method could be an important point of reference for managers, directors, and decision makers who must determine the best metrizability criteria for systemic product quality assessments, and could prove useful in Industry 4.0 in the bakery industry. The main value of the paper is the presentation of a new, extensive method for systemic assessments of product quality based on vector analysis in industrial organization. We trialed the method in the baking industry. We concluded that the method is a contribution to management science, especially in the field of quality management, because this approach is not used in business and is not described in relevant international literature.
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Kohpaiboon, Archanun, and Juthathip Jongwanich. "Global Production Sharing and Wage Premiums: Evidence from the Thai Manufacturing Sector." Asian Development Review 31, no. 2 (September 2014): 141–64. http://dx.doi.org/10.1162/adev_a_00034.

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The paper aims to promote a better understanding of the determinants of wage skill premiums in developing countries, with emphasis on the role of firm heterogeneity as well as global production sharing. An interplant, cross-sectional analysis of the Thai manufacturing sector is undertaken. Our key finding is in line with the theoretical postulation of the established firm heterogeneity literature—i.e., tariff cuts have different effects on firms depending on the mode by which firms are globally integrated. We also find that outsourced economic activities to developing countries are skills intensive. Our finding has implications for the management of economic globalization. First, reluctance to continue trade policy reform could inflate demand for unskilled workers and eventually jeopardize the competitiveness of exporting firms. Second, participation in global production sharing provides not only lucrative business opportunities, but also the chance to move up to a higher rung on the technology ladder. In addition, increasing economic globalization by participating in global production sharing could bring adverse effects to unskilled workers. Social safety net programs must be put in place to mitigate such adverse effects.
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