scholarly journals Industry 4.0 Implementation in B2B Companies: Cross-Country Empirical Evidence on Digital Transformation in the CEE Region

2020 ◽  
Vol 12 (22) ◽  
pp. 9538
Author(s):  
Roland Zs. Szabo ◽  
Iva Vuksanović Herceg ◽  
Robert Hanák ◽  
Lilla Hortovanyi ◽  
Anita Romanová ◽  
...  
Keyword(s):  
Value Chain ◽  
Industry 4.0 ◽  
Driving Forces ◽  
Digital Transformation ◽  
Advanced Technology ◽  
Implementation Costs ◽  
Cross Country ◽  
The Government ◽  
European Economies

Previous research has pointed out that Industry 4.0 will lead to more sustainable production; however, it may have profound effects on European competitiveness. Today, firms in the CEE countries face a limited scope for continued economic expansion, and hence there is a growing pressure on them to move upward in the global value chain by investing heavily in advanced technology. Consequently, the authors argue that B2B firms from the CEE countries can have a massive impact on Europe’s long-term competitiveness by reversing the effect of digital transformation due to their strong interdependencies on other European economies. Therefore, in a cross-country survey, research data were collected (n = 302) about the driving forces, barriers, and role of stakeholders in the implementation of digital transformations. The authors found that some technologies are implemented much more frequently compared to others, with some indication for country specialization. The leading driving force is customer satisfaction followed by productivity and financial motives. Shortage of skilled human resources and high implementation costs are the main barriers. The firms tend to rely on universities and research centers, while the government is perceived only as a financial provider. The results are also informative for practitioners and policymakers—providing them with benchmarks.

scholarly journals A Critical Review of Value Chain for Irish Potato in Zimbabwe with Specific Regards to the Economic Policy: A Review

2020 ◽  
Vol 2 (2) ◽  
pp. p42
Author(s):  
Nyasha Sakadzo ◽  
Jeremiah Mavugara ◽  
Ashel Musara
Keyword(s):  
Value Chain ◽  
Potato Production ◽  
Irish Potato ◽  
Raw Material ◽  
Key Stakeholders ◽  
Production And Consumption ◽  
The Government ◽  
Long Term Performance ◽  
Term Performance

Potato production and consumption are booming worldwide, greater quantity of it is being processed into food and snacks. It is the most important horticultural crop which is a good substitute for maize to supplement carbohydrates. It was declared a national strategic food security crop on 18 May 2012 by the government of Zimbabwe. This paper critically review the value chain of Irish potato in Zimbabwe with a focus on its any government policy and support with regards to promoting the crop and key stakeholders involved in the value chain. The Irish potato value chain in Zimbabwe has great potential to improve and if well supported, it can contribute to the GDP of the country. This can be done if the government improve on its policy implementation through capacity development of its research and extension workers and more resources have to be availed to this area has showed great potential in terms of marketing and production. The key drivers at production level who will help in ensuring that necessary interventions are carried out to improve long term performance of the Irish potato value chain operate in an enabling environment. This is done by offering incentives to the potato farmers and all the value chain players. The economy of a country is driven by having well thought out policies and interventions that can even subsidies inputs and other raw material required along the value chain.

scholarly journals Challenges in implementing industry revolution 4.0 in INDIAN manufacturing SMES: insights from five case studies

2018 ◽  
Vol 7 (2.4) ◽  
pp. 136 ◽  
Author(s):  
Suresh N ◽  
Hemamala K ◽  
Ashok N
Keyword(s):  
Industry 4.0 ◽  
Large Scale ◽  
Manufacturing Firms ◽  
Advanced Technology ◽  
Batch Size ◽  
Medium Size ◽  
Small Scale ◽  
Market Demand ◽  
Manufacturing Enterprises

Purpose-This research examines Small and Medium manufacturing Enterprises (SME’s) awareness, current capability, willingness and ability to identify the challenges involved in implementing Industry 4.0(I 4.0) at their premises.Design/methodology/approach-A set of questionnaire was framed to collect qualitative and quantitative data from five manufacturing SME’s and they were analyzed to gain insight.Findings –3 out of 5 manufacturing SME’s are aware, capable, willing and have ability to identify the challenges for implementing Industry 4.0 at their premises. The study also found that implementation of I 4.0 depends on size of the firm. Medium size manufacturing firms had started investing in Information Technology but small scale industries is still struggling to figure out their long term benefit.Practical implications – The advancement and the integration of the technologies such as Cyber Physical system, Internet Of Things, Artificial intelligence, Big data, Cloud computing and 3D printing provides greater flexibility to the manufacturing firms. In today’s global competition with a huge demand for personalized products at low price with best quality, innovation and capability to full filling batch size of one is becoming important. Hence, to meet the market demand many large-scale industries started investing in advanced technology where SME has yet to pay attention.Originality/value –Paper indicates the Indian manufacturing SME’s preparedness for Industry 4.0. It contains five cases capturing the current manufacturing practices followed in the SME’s and their capability towards implementing Industry I 4.0 in Indian environment.  

scholarly journals Project management in the conditions of digital transformation of Kazakhstan

2021 ◽  
pp. 229-234
Author(s):  
A. B. Sembin
Keyword(s):  
Project Management ◽  
Industry 4.0 ◽  
Scale Up ◽  
Digital Transformation ◽  
Digital Data ◽  
Data Management System ◽  
Innovative Technologies ◽  
Management Platform ◽  
Industrial Enterprises ◽  
The Government

This article highlights project management issues in the context of Kazakhstan’s digital transformation. The global crisis is forcing the government and industrial companies to be selective in defining priorities and support successful projects that have already shown results in practice. Based on research by experts from the Higher School of Economics, UNESCO and Accenture, following key areas have been identified for digital transformation: building a digital data management system, global relevance of research in digitalization, as well as the separation between industry and science in the transition to advanced innovative technologies. Kazakhstani industrial enterprises are experiencing a turning point in the implementation of advanced innovative technologies and R&D results. For industrial enterprises, the implementation of innovative projects is similar to R&D based on several factors: 1) the solution has to be assessed in terms of applicability; 2) it is usually implemented for the first time; 3) revision is necessary, taking into account the business needs, legislation, labor protection fire safety, ecology, etc. To scale up and leverage lessons learnt from successful projects, the Autonomous Cluster Fund has created a new tool – the Smart Industry Management Platform (SIMP). The SIMP platform is the result of 5 years of fruitful cooperation with industrial enterprises. Currently, one of the main priorities of the Autonomous Cluster Fund is to focus on developing the local Industry 4.0 ecosystem by helping industrial enterprises to accelerate their digital transformation. Using the platform approach in order to implement Industry 4.0 components in Kazakhstan will allow to develop new points of growth of the national economy, and ensure the integration of Kazakhstani companies into global value chains in the medium term.

scholarly journals Accelerating Digital Transformation through Open Innovation in Industry 4.0 Ecosystems

2020 ◽  
Author(s):  
Hendro Wicaksono
Keyword(s):  
Open Innovation ◽  
Industry 4.0 ◽  
Smart Cities ◽  
Digital Transformation ◽  
New Paradigm ◽  
Research Organizations ◽  
Smart Products ◽  
Innovation Model ◽  
The Government ◽  
Industry Sectors

Currently, industry sectors are transforming to a new paradigm called industry 4.0 which emphasizes digitalization, interconnection, and intelligence in the frame of digital transformation. Technological innovation, which requires interdisciplinary collaborations, is the key for industry and society to play active roles in industry 4.0 ecosystems. Industry 4.0 end-to-end solutions are built on four technological pillars, i.e. smart products, smart processes, smart resources, and data-driven services. The talk will discuss collaborative open innovation involving universities, research organizations, large enterprises, SMEs, and the government to build the industry 4.0 pillars. The talk will also present the strategy of triple helix innovation model and examples of collaborative open innovation projects that implement the model. The projects concentrate on the applications of data management and engineering methodologies, such as knowledge graphs and machine learning, to develop the industry 4.0 pillars in manufacturing, construction, and smart cities sectors.

Emergence of Industry 4.0 Technologies

2021 ◽  
pp. 560-589
Author(s):  
Leyla A. Gamidullaeva ◽  
Sergey M. Vasin ◽  
Elena V. Shkarupeta ◽  
Tatyana O. Tolstykh ◽  
Alexey G. Finogeev ◽  
...  
Keyword(s):  
Russian Federation ◽  
Value Chain ◽  
Industry 4.0 ◽  
Digital Technologies ◽  
Developed Countries ◽  
Modern World ◽  
The World ◽  
The Russian Federation ◽  
Simply Connected

Innovations in the modern world are not simply connected with the opportunities of digital technologies but also largely based on them. This is exactly why the full-fledged successive industrial sector's digitization will become a platform for qualitative changes of the economy and long-term opportunities. Thus, the transition to digital technologies is inevitable, but from another perspective, this very transition cannot be the absolute goal. In this chapter, the authors aimed at providing a better understanding for Industry 4.0 concept and its application benefits for Russia. The main problem is how the Russian Federation acts against the economically developed countries, which are the creators of Industry 4.0. This chapter mainly focuses on presenting the authors' views on how to sustain and increase competitive advantage of the Russian Federation by catching and implementing Industry 4.0. With Industry 4.0, Russian Federation gets a bigger share of the world manufacturing value chain.

Organization Management in Digital Business Transformation

2021 ◽  
Vol 9 (4) ◽  
pp. 4-14
Author(s):  
L. Shabaltina ◽  
V. Garnova ◽  
V. Chesnokova
Keyword(s):  
Value Chain ◽  
Industry 4.0 ◽  
Oil And Gas ◽  
Digital Transformation ◽  
Organization Management ◽  
Business Transformation ◽  
Smart Logistics

The article discusses the term “digital transformation”, aspects of the value chain, demonstrates the process of digital transformation based on the applied technologies of Industry 4.0, (the “Cognitive Geologist” project, AIS “Neftekontrol”, the “Smart Logistics” project) using the example of the largest oil and gas company in Russia.

scholarly journals A Forecasting Model for Economic Growth and CO2 Emission Based on Industry 4.0 Political Policy under the Government Power: Adapting a Second-Order Autoregressive-SEM

2019 ◽  
Vol 5 (3) ◽  
pp. 69 ◽  
Author(s):  
Sutthichaimethee ◽  
Chatchorfa ◽  
Suyaprom
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide Emissions ◽  
Industry 4.0 ◽  
Goodness Of Fit ◽  
Arima Model ◽  
Second Order ◽  
Forecasting Model ◽  
Political Policy ◽  
The Government

This research aims to forecast future economic and environmental growth for the next 16 years (2020–2035) according to the government’s strategic framework by applying the second order autoregressive-structural equation model (second order autoregressive-SEM). The model is validated by various measures, fits with the best model standards, meets all criteria of the goodness of fit, and is absent from any issues of heteroskedasticity, multicollinearity, autocorrelation, and non-normality. The proposed model is very distinct from other alternatives in that it produces the optimal outcome. Its mean absolute percentage error (MAPE) is 1.02% while the root mean square error (RMSE) is 1.51%. A comparison of the above results is carried out to compare the same values from other models, namely the regression linear model (ML model), back propagation neural network (BP model), artificial neural natural model (ANN model), gray model, and the autoregressive integrated moving average model (ARIMA model). The second order autoregressive-SEM is a model that is appropriate for long-term forecasting (2020–2035), and accounts for the specifics of the Thai government strategy set under the Industry 4.0 policy framework. The results of the long-term analysis indicate that the current political policy will result in continuous economic growth, where the gross national product (GNP) growth rate will climb up to 6.45% per annum by 2035, while the environment is being negatively affected. The study predicts that CO2 emissions will rise up to 97.52 Mt CO2 Eq. (2035). The forecasting model also reflects that the economy factor has an adjustment ability to equilibrium stronger than that of the environment factor; further, it shows that the relationship between the factors is causal. In addition, the political policy , economy , and environment factors are found to have both direct and indirect effects. As to the results, this study illustrates that the Industry 4.0 policy is still inefficient, as the carbon dioxide emissions are projected to be higher than the threshold for environment hazards and disasters which set to the limit of 80 Mt CO2 Eq. by 2035. The effect of such policy will put the environment at risk, and the government must take immediate action to respond to this urgency. Thus, the second order autoregressive-SEM model remains a significant model embedded with the adjustment ability to equilibrium and the applicability for various contexts in different sectors. This introduced model is a vital tool for assisting the national government to create policy that is effective and sustainable, and lead to positive development of the nation. This second order autoregressive-SEM model can be used as a resource for the management of both public policy and private enterprise.

scholarly journals Formulating a Long Term Strategy for Sustainable Palm Oil Biodiesel Development in Indonesia

2016 ◽  
Vol 9 (4) ◽  
pp. 124 ◽  
Author(s):  
Beny A. Purwanto ◽  
Erliza Hambali ◽  
Yandra Arkeman ◽  
Hendri Wijaya
Keyword(s):  
Palm Oil ◽  
Swot Analysis ◽  
Technology Development ◽  
Driving Forces ◽  
Value Added ◽  
Raw Material ◽  
High Price ◽  
The Government ◽  
Palm Oil Biodiesel

<p class="abstract-1"><strong></strong>Indonesia, the largest producer of palm oil, has been developed palm oil biodiesel as renewable energy in the last decade. Indonesia biodiesel development policies aim to increase domestic value added of palm oil product and reduce the reliance on fossil fuel. Indonesia has embarked on a comprehensive palm oil biodiesel program since 2006 and targeted the 20% biodiesel blend (B20) in 2016. This article explores the strategy formulation by accommodate the stakeholder perspective in the problems and the solutions. This research analyzes the information from in depth interview with biodiesel stakeholders (government, industry and researcher) in Indonesia by combine Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis with a Multi Actor Analysis approach. The results show the problems of biodiesel development are mainly on the high production cost due to high price of raw material, production technology and distribution infrastructure. The government policy, technology development and raw material supply are the driving forces of the biodiesel development in Indonesia. In the long term strategy, government of Indonesia should secure the biodiesel raw material, develop an environmental friendly technology in biodiesel processing, and accommodate any improvement idea from other stakeholders.</p>

scholarly journals ICT Implementation of Small- and Medium-Sized Construction Enterprises: Organizational Characteristics, Driving Forces, and Value Perceptions

2019 ◽  
Vol 11 (12) ◽  
pp. 3441 ◽  
Author(s):  
Hao Lu ◽  
Pardis Pishdad-Bozorgi ◽  
Guangbin Wang ◽  
Yingxia Xue ◽  
Dan Tan
Keyword(s):  
Construction Industry ◽  
Driving Forces ◽  
Strategic Orientation ◽  
Organizational Characteristics ◽  
Construction Enterprises ◽  
Value Perceptions ◽  
Ict Implementation ◽  
Information And Communication ◽  
The Government

This study discusses the organizational characteristics, driving factors, and value perceptions of small- and medium-sized construction enterprises in information and communication technology (ICT) implementation and investigates how the heterogeneous impacts of these features on subsequent ICT implementation practices are manifested. Based on questionnaire responses provided by 338 respondents from the Chinese construction industry, these associations were empirically tested using statistical methods, such as t-test, ANOVA, and correlation test. The analysis results indicate that the engagement of small- and medium-sized enterprises (SMEs) in ICT is a function of their annual sales turnover and the location in which they are operating, but no correlation was found with age, ownership structure, or business type. Moreover, strategic orientation was found to be the most effective driver in determining SMEs’ ICT-level, followed by pressures from competitors, incentive and mandatory policies from the government, intentions to improve work efficiency and quality, and ICT requirements from clients and partners, in that order. The findings further reveal that the differences in value perceptions generated after the adoption of ICT is the reason why SMEs tend to adopt less expensive ICT, that is, to use packaged rather than customized ICT, which can improve efficiency quickly, without considering the long-term benefits of the selected ICT. These findings provide insights for researchers and policymakers, allowing them to develop an in-depth understanding of the stimuli that are advantageous in ICT implementation in construction SMEs in developing countries.

scholarly journals METHODOLOGICAL PROPOSAL FOR THE DIGITAL TRANSFORMATION OF MICRO COMPANIES IN THE TECOMÁN VALLEY COLIMA, MEXICO

2020 ◽  
pp. 58-59
Author(s):  
Oscar Mares Banuelos ◽  
Arquímedes Arcega Ponce ◽  
Enrique Macias Calleros ◽  
Alfredo Salvador Cardenas Villalpando
Keyword(s):  
Precision Agriculture ◽  
Industry 4.0 ◽  
Triple Helix ◽  
Research Work ◽  
Digital Transformation ◽  
The State ◽  
Cloud Services ◽  
Management Model ◽  
It Services

This research work describes the methodology used to manage a digital transformation center located in the Tecomán Valley, Colima, México, which involved actions of the triple helix management model. The phases deployed to materialize this long-term project that involves the participation of academia, the state and private initiatives are addressed. The results are the implementation of infrastructure to deploy industry 4.0 projects: IoT, cloud services and precision agriculture. In the current year 2020, other IT services.

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