scholarly journals Dynamics of Business Models in Industry-Wide Collaborative Networks for Circularity

2022 ◽  
Vol 8 (1) ◽  
pp. 3
Author(s):  
Aleš Krmela ◽  
Iveta Šimberová ◽  
Viktorija Babiča
Keyword(s):  
Manufacturing Industry ◽  
Business Models ◽  
Research Strategy ◽  
Collaborative Networks ◽  
Abstract Concept ◽  
Manufacturing Companies ◽  
Legitimacy Theory ◽  
Dynamic Changes ◽  
Financial Reports ◽  
Quantitative Content

Incumbent B2B manufacturing companies join forces and form collaborative networks, called consortia, aiming to increase the circularity of their products. Our research interest lies in the understanding of how the business models (BM) of the companies and the industry are affected by such collaborations in the collaborative networks of the circular economy (CE). Given the exploratory nature of our empirical research, we applied a mixed research strategy of an inductively deductive nature. We carried out case studies in a manufacturing industry field and combined them with quantitative content analyses of the companies’ financial and non-financial reports. Drawing on the assumptions of the Attention-Based View Theory and Legitimacy Theory, we defined and found verbally communicated identifiers of BM elements, CE strategies, and collaborative networks, quantified their occurrences, and transformed them into variables. Using correlation analyses, we determined the tightness and the changes in relationships between the BMs’ elements and CE strategies. We examined the dynamic changes in the structure of BMs and their elements occurring within the implementation of selected CE strategies. Our findings suggest that collaborative networks for CE support an adaptation of the industry’s BMs. The higher-level CE strategies impact the BM more than the lower-level ones. The contribution of our research is in the suggested method of quantification and concretization of an abstract concept of BMs’ elements and their interrelations. This enables an assessment and a direct comparison of BMs, as well as of implemented CE strategies across companies and across industries. Our results also shed more light on the way the companies and industries adapt their BMs towards reaching circularity, as well as on how collaborative networks support such a transition.

Managing Complexity in Manufacturing Changeovers: A Sustainable Manufacturing-Oriented Approach and the Application Case Study

2016 ◽  
Author(s):  
Khalid Mustafa ◽  
Kai Cheng
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Business Models ◽  
Sustainable Manufacturing ◽  
Lead Times ◽  
Manufacturing Companies ◽  
Factors Affecting ◽  
Manufacturing Complexity ◽  
Oriented Approach

Increasing manufacturing complexity continues to be one of the most significant challenges facing the manufacturing industry today. Due to these rapid changes in manufacturing systems, one of the most important factors affecting production is recognized as the frequent production setup or changeovers, consequently affecting the overall production lead times and competitiveness of the company. Developing responsive production setup and process capability is increasingly important as product ranges and varieties in manufacturing companies are growing rapidly and, at the same time, production business models are operating more towards being customer-oriented. Furthermore, although different conventional methods have been used to manage complexity in production changeovers, sustainability and competitiveness development in a manufacturing company needs to be scientifically addressed by managing manufacturing complexity. In this paper, a sustainable manufacturing-oriented approach is presented in mind of managing manufacturing changeover complexities. A case study is carried out specifically concerning changeover complexity in a pharmaceutical company, aiming at minimizing complexities in production changeover and waste, increasing plant flexibility and productivity, and ultimately the sustainable competitiveness of the company in managing manufacturing changes.

scholarly journals “Industrie 4.0” and Smart Manufacturing – A Review of Research Issues and Application Examples

2017 ◽  
Vol 11 (1) ◽  
pp. 4-16 ◽  
Author(s):  
Klaus-Dieter Thoben ◽  
◽  
Stefan Wiesner ◽  
Thorsten Wuest ◽  
◽  
...  
Keyword(s):  
Manufacturing Industry ◽  
Business Models ◽  
Industrial Revolution ◽  
The United States ◽  
Industrie 4.0 ◽  
Business Strategies ◽  
Smart Manufacturing ◽  
Future Research ◽  
Manufacturing Companies ◽  
Research Issues

A fourth industrial revolution is occurring in global manufacturing. It is based on the introduction ofInternet of thingsandservitizationconcepts into manufacturing companies, leading to vertically and horizontally integrated production systems. The resultingsmart factoriesare able to fulfill dynamic customer demands with high variability in small lot sizes while integrating human ingenuity and automation. To support the manufacturing industry in this conversion process and enhance global competitiveness, policy makers in several countries have established research and technology transfer schemes. Most prominently, Germany has enacted itsIndustrie 4.0program, which is increasingly affecting European policy, while the United States focuses onsmart manufacturing. Other industrial nations have established their own programs on smart manufacturing, notably Japan and Korea. This shows that manufacturing intelligence has become a crucial topic for researchers and industries worldwide. The main object of these activities are the so-called cyber-physical systems (CPS): physical entities (e.g., machines, vehicles, and work pieces), which are equipped with technologies such as RFIDs, sensors, microprocessors, telematics or complete embedded systems. They are characterized by being able to collect data of themselves and their environment, process and evaluate these data, connect and communicate with other systems, and initiate actions. In addition, CPS enabled new services that can replace traditional business models based solely on product sales. The objective of this paper is to provide an overview of the Industrie 4.0 and smart manufacturing programs, analyze the application potential of CPS starting from product design through production and logistics up to maintenance and exploitation (e.g., recycling), and identify current and future research issues. Besides the technological perspective, the paper also takes into account the economic side considering the new business strategies and models available.

scholarly journals THE IMPACT OF FIRM LEVERAGE ON STOCK RETURN ON MANUFACTURING INDUSTRY

2019 ◽  
Vol 2 (1) ◽  
pp. 39-48
Author(s):  
Shaharudin Jakpar ◽  
Michael Tinggi ◽  
YU Qi Wong ◽  
Norshamsiah Samsudin
Keyword(s):  
Random Effects ◽  
Firm Size ◽  
Stock Return ◽  
Manufacturing Industry ◽  
Manufacturing Companies ◽  
Short Term ◽  
Financial Reports ◽  
Total Debt ◽  
The Impact

This paper seeks to provide evidence on the impact of firm’s leverage on its stock return. The analysis was implemented on the 30 manufacturing companies listed on Bursa Malaysia. The selected companies were estimated from the annual financial reports covering a period of five years (2011-2015). The random effects GLS regression was employed in carrying out this analysis. The result of the study reveals that only one variable which is short term debt has enough evidence and significant negatively related to stock return. However, other variables such as long-term debt, total debt to equity and firm size are found to be irrelevant with stock return.

scholarly journals Pengaruh Kinerja Keuangan Terhadap Return Saham Pada Beberapa Industri Manufaktur yang Terdaftar di Bursa Efek Indonesia

2020 ◽  
Vol 4 (2) ◽  
pp. 97-103
Author(s):  
Kurniaty Kurniaty ◽  
Aris Setia Noor
Keyword(s):  
Stock Returns ◽  
Manufacturing Industry ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Economic Value ◽  
Value Added ◽  
Multiple Linear Regression Analysis ◽  
Manufacturing Companies ◽  
Financial Reports ◽  
Return On Equity

This study aims to determine the effect of financial performance on stock returns in the manufacturing companies in the consumer goods industry sector which are listed on the Indonesia Stock Exchange from 2014 to 2016 simultaneously or partially. The variables used in this study are Return On Assets (X1), Return On Equity (X2), Economic Value Added (X3) as the independent variable and Stock return as the dependent variable.Samples were taken as many as 20 manufacturing industry companies listed on the Indonesia Stock Exchange (IDX) during 2014 to 2016. The data used are financial reports from each sample company which are published on the website ww.idx.co.id. the data analysis method used in this study is a quantitative method by testing classic assumptions, and statistical analysis is multiple linear regression analysis. The sampling method used was purposive sampling.

scholarly journals Canvas B.M. in the global revolutionary era of digitisation in the industry 4.0: A review

2021 ◽  
Vol 92 ◽  
pp. 04006
Author(s):  
Petra Domanižová ◽  
Nikola Janíčková
Keyword(s):  
Business Model ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Business Models ◽  
Value Added ◽  
Business Environment ◽  
Future Research ◽  
Manufacturing Companies ◽  
Revolutionary Era ◽  
Digital World

Research background: Industry 4.0, also known as the Fourth Industrial Revolution, describes the digitisation of the manufacturing industry. The transition to 4.0 is crucial for manufacturing companies to maintain a competitive advantage and take advantage of new opportunities. This article contributes to research with a framework for the description, analysis, and classification of Canvas B.M. for 4.0. Purpose of the article: The following report provides a review of the literature to expand our knowledge of how Industry 4.0 affects business models. This article aims to specify and map the level of knowledge about the Canvas business model and its application in the new revolutionary era of the digital world in the manufacturing industry 4.0. The findings deepen the understanding of how 4.0 affects the manufacturing industry, B.M., and the behaviour of the current economic environment. Methods: A literature review. Then the comparison of the author’s views on the use of the business model, innovation, and adaptation under the influence of digitisation. The literature survey was conducted in articles indexed in the Web of Science and Scopus to carry out a critical analysis of collected data and the exposition of some conclusions and future research opportunities. Findings & value added: A lot of research in the field of industry 4.0 using Canvas B.M., but very often, the view of the Czech business environment is neglected. Focusing on this area may lead to future research. This literary review focuses on the latest literature.

scholarly journals The Role of Ownership in Increasing Firm Value of Manufacturing Industry in Indonesia

2020 ◽  
Vol 16 (1) ◽  
pp. 85-100
Author(s):  
Eka Handriani
Keyword(s):  
Firm Size ◽  
Firm Value ◽  
Audit Committee ◽  
Manufacturing Industry ◽  
Sampling Method ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Financial Reports

This study examines the effect of the independent commissioner’s composition, audit committee, firm size, and profitability toward the value of manufacturing companies listed in the Indonesia Stock Exchange. The population of this research is manufacturing companies listed in the Indonesia Stock Exchange (IDX) from 2013-2015 that reported a complete annual report and published in the Indonesian Capital Market Directory. Researchers used a purposive sampling method and employed 208 companies as samples, and data processing in the study used multiple linear regression. Findings. This study find that the independent commissioner’s composition and Audit Committee has no significant effect on firm value. Finding also shows that firm size and profitability has a positive significant effect on firm value. Based on those findings, investors have to use financial information, especially financial reports, as information for long-term investment decisions. The finding may be useful for the listed companies in Indonesia Stock Exchange since they must know their size and profitability, and those variables are important to enhance their value.

Pengaruh Jumlah Dewan Komisaris, Leverage, Profitabilitas, Intensitas Modal, Cash Flow, Dan Ukuran Perusahaan Terhadap Konservatisme (Studi Empiris Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia Tahun 2012-2017)

2019 ◽  
Vol 8 (1) ◽  
pp. 17-24
Author(s):  
Siti Suharni ◽  
Arini Wildaniyati ◽  
Dea Andreana
Keyword(s):  
Cash Flow ◽  
Sampling Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Capital Intensity ◽  
Financial Statements ◽  
Descriptive Statistics ◽  
Company Size ◽  
Manufacturing Companies ◽  
Financial Reports

This study is aimed at examining the effects of the Number of Board of Commissioners, Leverage, Profitability, Capital Intensity, Cash Flow, and Company Size toward Conservatism in the manufacturing companies listed on the Indonesian Stock Exchange (IDX). The population used in this study is the yearly financial statements on firm of manufacturing listed at BEI period 2012-2017, using purposive sampling method. The type of data used is secondary data obtained from yerly financial reports published and downloaded through the official BEI website. Data analyzed with Descriptive statistics, test of classic assumption and exmination of hypothesis with multiple linier regression method. The result of hypothesis research shows variable Profitability and Cash Flow have a significant effect on the ability of Conservatism, while the Number of Board of Commissioners, Leverage, Capital Intensity, and Company Size has no effect on the ability of Conservatism.

ANALISIS PERHITUNGAN HARGA POKOK PRODUKSI DAN PENENTUAN HARGA JUAL ATAS PRODUK (Studi Kasus Pada PT Dasa Windu Agung)

2016 ◽  
Vol 1 (2) ◽  
pp. 183-190
Author(s):  
Dwi Urip Wardoyo
Keyword(s):  
Manufacturing Industry ◽  
Sampling Method ◽  
Manufacturing Companies ◽  
Test Analysis ◽  
Automotive Components ◽  
Convenience Sampling ◽  
Cost Of Production ◽  
The Cost ◽  
Keywords Cost

This study aims to determine the determination of the cost of production for products produced by PT. DWA. The Company is engaged in the manufacturing industry specialized in automotive components. Its activity is carried out through a series of production processes, so that expenses spent in the production will be calculated into the cost of the production sold. The population in this study were all manufacturing companies in Jakarta. Convenience sampling method selected one of the companies that get the confidence to assemble three national car project in Indonesia, namely Timor, Bakrie and Maleo. Test analysis used in this study is to test the calculation of full costing with job order costing. This study shows that (a) determination of the cost elements associated with the cost of production and (b) determining the cost of production on a product-based job costing with full costing approach. Keywords: cost of production, full costing

Comparative analysis of business models of top pharmaceutical manufacturing companies: fifi nancial analysis

2020 ◽  
pp. 43-52
Author(s):  
L.E. Yasinskaya ◽  
Keyword(s):  
Comparative Analysis ◽  
Business Models ◽  
Financial Analysis ◽  
Active Pharmaceutical Ingredient ◽  
Pharmaceutical Companies ◽  
Manufacturing Companies ◽  
Revenue Growth ◽  
Commercial Activities ◽  
Pharmaceutical Manufacturers ◽  
Research Procedure

Introduction. Earlier, the comparative analysis of the commercial and investment activities of the companies that play the key roles in the investment processes in the Russian pharmaceutical industry and operate within the four main business models (biotechnological, generic, specialized pharmaceutical companies, active pharmaceutical ingredient (API) manufacturers) has been conducted. No full assessment of the companies’ activitiesis conceivable without a financial analysis of their activities to identify the risks of investment activities. Objective of the study. A detailed comparative analysis of the financial standing of domestic pharmaceutical manufacturers operating within the selected business models for further identification of potential financial risks for investors. Research procedure and article structure. Analysis of RAS statements (forms 1 and 2) of 72 over 500 million revenue companies grouped together as selected business models for the period from 2015 to 2019. Results. The researchers provided a detailed description of the commercial activities of domestic pharmaceutical companies within the business models under consideration. The companies within various business models showed positive revenue growth rates over the past five years. All business models demonstrate consistently high business profitability and a significant share of own capital in the asset profile. Conclusion. The results of the study show the stable financial standing of the pharmaceutical companies within various business models. The biotechnology sector companies that are the most attractive for investments have the highest quality financial standing. The specialized and generic companies show similar consistently strong performance. API manufacturers that the companies with relatively small revenues are actively developing and are attractive to restrained budget investors.

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