Industrial Strategy Research Articles

Assessment of the Level of Digitalization of Polish Enterprises in the Context of the Fourth Industrial Revolution

Due to the dynamic development of the Fourth Industrial Revolution, also known as Industry 4.0, the impact of the coronavirus pandemic on the operation of enterprises, and the increasing demands of customers, more and more companies have taken and continue to take action to increase the level of digitalization. The implementation of innovative solutions contributes to the sustainability development of enterprises in various areas (economic, environmental, and social), streamlining processes and increasing effectiveness, efficiency, and quality of work. Such activities also contribute to the effective use of new opportunities by companies and strengthen their competitiveness and market position. The use of digital technologies increases the capacity of companies to innovate and grow, which brings significant benefits in terms of efficiency and competitiveness. The authors attempted to analyze and assess the level of digital transformation in enterprises in Poland. This study aimed to review the current state of digitization of companies, which made it possible to diagnose the level of digital maturity of Polish enterprises and to identify areas that will determine the activities of companies to quickly increase their competitiveness or improve internal processes. Qualitative and comparable methods were used in the analysis. The results show that the degree of digitization of Polish enterprises is increasing, and, in particular, was influenced by the COVID-19 pandemic. Nearly half of the companies analyzed declared that they are increasing their budget for digitalization. The presented study has cognitive value regarding the assessment of the level of digitization of Polish enterprises. Both managers and decision-makers can benefit from the results of the study because decision-making regarding the development of SMEs is crucial to the effectiveness of the industrial strategy.

Penerapan Algoritma Apriori Dalam Analisis Keranjang Belanja Retail Di Wilayah Jawa Barat

Market basket analysis is an important technique in data mining used to understand consumer purchasing patterns. This research uses the Apriori algorithm to identify relationships between products in the shopping basket, aiming to improve sales and marketing strategies in the retail industry. The focus of this study is on retail transaction data from West Java Province, which has a large and diverse population, reflecting complex consumer purchasing patterns. The research identifies several key issues: limited understanding of consumer behavior, unoptimized business strategy opportunities, and challenges in managing large transaction data. As a solution, the application of the Apriori algorithm can help find frequent consumer purchasing patterns and design more effective marketing strategies. The results show that market basket analysis using the Apriori algorithm is effective in understanding consumer purchasing patterns in the retail industry. This algorithm allows companies to discover itemsets that frequently appear together in transactions, which can be used to design more effective marketing and sales strategies.

Talent Management Strategies in Indonesia's Digital Media and Entertainment Industry for Gen Z: The Role of Leadership Style and Organizational Culture

Talent Management Strategies in Indonesia's Digital Media and Entertainment Industry for Gen Z: The Role of Leadership Style and Organizational Culture

Immuno-informatics study identifies conserved T cell epitopes in non-structural proteins of Bluetongue virus serotypes: formulation of a computationally optimized next-generation broad-spectrum multi-epitope vaccine.

Bluetongue (BT) poses a significant threat to the livestock industry, affecting various animal species and resulting in substantial economic losses. The existence of numerous BT virus (BTV) serotypes has hindered control efforts, highlighting the need for broad-spectrum vaccines. In this study, we evaluated the conserved amino acid sequences within key non-structural (NS) proteins of BTV and identified numerous highly conserved murine- and bovine-specific MHC class I-restricted (MHC-I) CD8+ and MHC-II-restricted CD4+ epitopes. We then screened these conserved epitopes for antigenicity, allergenicity, toxicity, and solubility. Using these epitopes, we developed in silico-based broad-spectrum multiepitope vaccines with Toll-like receptor (TLR-4) agonists. The predicted proinflammatory cytokine response was assessed in silico using the C-IMMSIM server. Structural modeling and refinement were achieved using Robetta and GalaxyWEB servers. Finally, we assessed the stability of the docking complexes through extensive 100-nanosecond molecular dynamics simulations before considering the vaccines for codon optimization and in silico cloning. We found many epitopes that meet these criteria within NS1 and NS2 proteins and developed in silico broad-spectrum vaccines. The immune simulation studies revealed that these vaccines induce high levels of IFN-γ and IL-2 in the vaccinated groups. Protein-protein docking analysis demonstrated promising epitopes with strong binding affinities to TLR-4. The docked complexes were stable, with minimal Root Mean Square Deviation and Root Mean Square Fluctuation values. Finally, the in silico-cloned plasmids have high % of GC content with > 0.8 codon adaptation index, suggesting they are suitable for expressing the protein vaccines in prokaryotic system. These next-generation vaccine designs are promising and warrant further investigation in wet lab experiments to assess their immunogenicity, safety, and efficacy for practical application in livestock. Our findings offer a robust framework for developing a comprehensive, broad-spectrum vaccine, potentially revolutionizing BT control and prevention strategies in the livestock industry.

Aligning HR Innovation with Industry Strategies: Enhancing Technical Graduate Employability through Industry-Institute Engagement Practices

This study aims to investigate the strategic approaches utilized by industries to enhance the employability of graduates through industry-institute engagement practices, seeking to understand the effectivenessof these strategies in addressing the increasing demand for skilled technical graduates with high competitiveness and employability skills. Employing a cross-sectional research design, the study was conducted in the Peenya Industrial area from December 2022 to March 2023, focusing on its high concentration of engineering industries. A quantitative approach was used to survey 120 executives from Peenya involved in recruiting engineering graduates, utilizing a structured questionnaire to assess strategies like placement cell activities, social media use, and entrepreneurial training. Data analysis involved descriptivestatistics and ANOVA.Results indicates that placement cell activities are the most employed strategy (63.3%), followed by socialmedia (21.7%) and college databases (11.7%), with entrepreneurial training and Centers of Excellencebeing less utilized. While age did not significantly affect perceptions, firm size did, particularly regardingentrepreneurial training effectiveness. The study highlights the increasing demand for skilled technicalgraduates and the challenges in ensuring their readiness for employment, emphasizing the predominantuse of placement cell activities, social media, and college databases in recruiting engineering graduates.It underscores the need for aligning HR innovation with industry strategies and collaborative efforts toenhance technical graduate employability

이커머스 플랫폼 상품 이미지의 표현 방법이 광고 태도에 미치는 영향

This study investigates the impact of expression methods in product images used on detailed pages in the cosmetics industry on e-commerce platforms, focusing on product type, function type, and appeal type, on advertising attitudes. The study employed a 2(product type: skincare vs. makeup) × 2(function type: still vs. motion) × 2(appeal type: rational vs. emotional) design, selecting representative products from Naver Shopping to create eight experimental stimuli. A survey was conducted with women aged 20 and older in South Korea from May 2 to 6, 2024, and a total of 44 completed questionnaires were analyzed. The results indicated that motion graphics induced higher advertising attitudes compared to still images, and emotional appeals led to higher advertising attitudes than rational appeals. This implies that dynamic elements in product images create a stronger impression on consumers, and emotional appeals enhance advertising effectiveness by evoking emotional responses. However, there was no statistically significant difference in advertising attitudes based on product type, nor were there significant interaction effects between product type, function type, and appeal type. These findings highlight the importance of dynamic images and emotional appeals in digital marketing strategies for the cosmetics industry. Future research should aim to generalize these results across diverse consumer groups and consider variables such as purchasing tendencies, skin characteristics, and age for a more comprehensive analysis. Further research in other industries is also necessary to determine if similar marketing elements yield consistent effects.

Towards Superior Banking Services Examining Service Strategies and Service Operations Using ITIL as Framework

The implementation of Service Strategy and Service Operation in the banking industry is a key element to improve the quality of information technology (IT) services, strengthening customer satisfaction, and achieve business goals. This research involved analysis of eleven journals that showcased ITIL implementations in the context of financial institutions, highlighting the challenges, solutions, and benefits gained. The findings show that banks have implemented Service Strategy in their operations, as well as using ITIL as a framework. However, there is still room for improvement, such as more regular evaluations. Each bank has unique challenges and opportunities that affect their Service Operation implementations. With a commitment to continuous improvement, banks can continue to improve the quality of IT services, increasing customer satisfaction

혼밥족의 지각된 영역성이 레스토랑 재방문의도에 미치는 영향

This study focused on analyzing the effect of the increase in single-person households and the corresponding increase in the number of people eating alone in the food service industry. With many restaurants still passive in providing single-person dining spaces, this study attempted to contribute to the strategic improvement of the food service industry by empirically examining the relationship between perceived territoriality, perceived value, satisfaction, and intention to revisit among the people eating alone. Research data were collected through an online survey of individuals with experience of eating alone nationwide, and a total of 254 valid responses were used for analysis. Specifically, the structural equation modeling was conducted through the PLS program. The primary findings derived from testing the theoretical model are as follows: First, the perceived territoriality of the people eating alone positively influences both perceived value and satisfaction, while it does not have a direct and significant effect on the intention to revisit. Second, perceived value has a strong effect on satisfaction and intention to revisit. Third, satisfaction has a direct and positive effect on the intention to revisit. This study contributed to developing strategies for the food service industry to increase profitability by understanding the characteristics and needs of the “Honbab” people and seeking ways to respond to them.

A Comparative Analysis of Pricing Approaches in the Cruise Industry in Response to Dynamic Pricing Factors

This research paper provides a comprehensive analysis of various pricing strategies used in the cruise industry, emphasizing dynamic pricing. It examines the strengths and considerations of five key pricing strategies and their responsiveness to real - time market changes. The paper highlights the importance of aligning pricing strategies with business goals and market conditions, specifically focusing on the cruise industry’s unique challenges and opportunities. This article is significant as it provides a detailed comparison of various pricing strategies in the cruise industry, offering insights into how dynamic market factors influence pricing decisions. Such analysis is crucial for businesses seeking competitive advantages in this industry.

Development Strategies for Korea's Fisheries Seed Industry: Based on Norwegian Salmon Seed Industry

Development Strategies for Korea's Fisheries Seed Industry: Based on Norwegian Salmon Seed Industry

A dataset of statistics of egg breeding farms in China from 1998 to 2020

Historical statistics of egg breeding farms are important for future market regulation and advancing the high-quality development of the egg industry. This dataset uses data from the China Animal Husbandry and Veterinary Yearbook(China Animal Industry Yearbook) to compile and organize statistical data of egg breeding farms from 1998 to 2020. The data have processed using Excel software for organization, summarization, review, and other necessary operations. Following the basic principles of completeness and consistency, the data underwent processing and quality checks. Furthermore, multiple linear regression analysis was then conducted using SPSS software to address missing data. In this way, we obtained a dataset of statistics of egg breeding farms in China from 1998 to 2020. The dataset comprises three data files, involving statistics on the number, year-end stock, and slaughter volume of breeder farms, grandparent and above egg farms, and parent egg farms in 31 provinces (autonomous regions and municipalities directly under the central government) across China, with a total of 61 data items. This data set can provide data support for the regional distribution of breeder farms, forecasting the trends in the egg industry, and formulating research on production planning and industrial layout strategies.

탄소중립을 위한 순환자원 활용 시설재료의 성능분석

As the climate crisis and global environmental problems intensify, policies and technologies for reducing greenhouse gas in industry and life are being emphasized, and the development of eco-friendly synthetic materials with low environmental load while reinforcing the performance of natural materials with building or facility materials is becoming a useful strategy for industrialization of greenhouse gas reduction as well as technical aspects. This study was conducted to present basic data for using coffee ground, a circulating resource, as a material for synthetic wood. The possibility of using the leftover coffee grounds as an alternative facility to reduce the environmental load such as carbon emissions was confirmed by producing it as a synthetic deck material through a drying processing process. It was classified into Type I (50% coffee grounds), Type II (20% coffee grounds), and a control, and the quality suitability and performance with KS standards were verified when the content rates of coffee grounds and wood were different. Compared to KS standards (KSF 3230), the performance of synthetic wood deck materials that recycled coffee grounds satisfied the standards under all three types of experimental conditions, and in particular, it was found to be the best in Type I, which mixed coffee grounds ingredients and wood at a 50% ratio. Coffee grounds, which are circulating resources other than household waste, can be alternatives as sustainable materials with excellent performance that meets quality standards while minimizing environmental pollution or carbon emissions.

THEORETICAL AND METHODOLOGICAL PRINCIPLES OF RESEARCH MONITORING OF THE EUROPEAN TOURISM ECOSYSTEM GREEN AND DIGITAL TRANSITION

Objective. The objective of the article is to generalize and analyze the theoretical and methodological basis of the green and digital transition of the European tourism ecosystem in the context of the implementation of the renewed industrial strategy of the EU. Methods. To achieve the outlined goal, such methods of empirical and theoretical research were used: literature review, theoretical generalization (to identify, collect and analyze modern research on the digitalization and greening of tourism), a descriptive method (to highlight the methodology of tracking ecological, digital and socio-economic aspects of tourism according to using harmonized data and indicators for the European tourism ecosystem), data visualization (for visualization and grouping of material). Results. Multi-annual EU Work Plan of the European Agenda for Tourism 2030 is characterized in five priority areas, namely: "Enabled policy and governance frameworks", "Green transition", "Digital transition", "Sustainability and inclusion", "Skills and transition support". The methodology of monitoring the green and digital transition of the European tourism ecosystem using the online tool "EU Tourism Dashboard" is highlighted. The indicators of the panel, which are grouped according to the priority areas: "Green transition", "Digital transition" as well as the blocks "Socio-economic indicators" and "Main descriptors of tourism" are summarized, the sources of information for the calculation of indicators are highlighted. The main tools for financing the green and digital transition and increasing the sustainability of EU tourism are substantiated, namely: private investments and loans, sources of EU funding for tourism, EU technical support for the transformation of the tourism ecosystem, programs at the national and regional levels within the framework of cohesion policy.

PET PARADISE : PET LOVERS HAVEN

Abstract: This paper explores the business strategies of the pet industry under the Internet economy from the perspective of service design, so as to improve the service quality, customer satisfaction, user experience and competitiveness of the pet industry. Based on the characteristics of the Internet economy era, this paper elaborates its concept, meaning and value, and discusses the development status of online pet transaction and the development trend of the industry. Combining with the design of a pet APP, an online and offline mutual complementary network platform is established. By constructing a map of target users, discovering key touch points in the service process, and creating usage “scenarios”, a relatively complete service chain can be formed, and pets can be integrated into the value form of personal life. Keyword: Html ,Css, Javascript, React js, Mongo db

Low-performance diagnosis of covered anaerobic lagoons as a waste management strategy in the intensive dairy industry

ABSTRACT Covered anaerobic lagoons (CALs) are Latin America's main livestock waste treatment systems. Mexico has 680 CALs that present low biogas yields (0.05 m3 m−3 digester d−1) and low COD removal rates (< 60%). This work focused on diagnosing CAL´s low performance in dairy farms by determining and analyzing operational parameters. Seven CALs located in the main dairy basin of Mexico were analyzed. The sampling areas for each CAL were the supernatant, the active zone, settled sludge, and digester inlet and outlet. The variation of the process parameter values corroborated that CALs appeared stratified and not working as expected. The sludge zone, comprising 50–58% of total solids content and 1–15% of total CALs volume, showed an elemental compounds content suitable for organic fertilizer (340, 48, and 5 kg t−1 of C, N, and S, respectively). However, this zone contained, at least, 85% of the slowly hydrolysable material; the methanogenic potential was less than 87 mL CH4 g VS−1, and the C/N ratio ranged from 4.9 to 17, outside of the optimal range. The biogas produced did not exceed 60% of methane content and more than 3000 ppm of H2S. The sludge zone significantly influences the lagoon's dynamics since it is a nutrient sink. Furthermore, the lack of agitation is the leading cause for the low energy yield and the low removal of organic matter rate. This work provides valuable information to address the operational problems within the CALs improving our understanding that shall allow proposing reactivation alternatives.

Innovations in Teaching Strategic Management

Strategy is a very important but complex discipline. Innovation is necessary for effective teaching of strategy and strategy management. Innovations in teaching strategy and strategic management must focus on four important areas: the teaching goal, the teaching approach, the teaching content, and the learning outcomes. Continuous innovation in teaching strategy and strategic management is necessary to add value to the participants and, through them, to the organizations they work for. When participants and the organizations for which they work realize value by learning strategy and strategic management, it will help achieve the purpose of strategy and strategic management, which is to add value and make an impact. This paper has implications for the practice of strategy and strategic management in industry and academia. The work has limitations as it is based on the experiences of one academic, but that creates the scope for future research. More researchers, practitioners, and academicians can conduct more experiments to establish the suggested innovations further.

An adaptive secure internet of things and cloud based disease classification strategy for smart healthcare industry

An adaptive secure internet of things and cloud based disease classification strategy for smart healthcare industry

Comprehensive Review of Machine Learning Techniques for Condition-Based Maintenance

While most industrial maintenance strategies are centered on optimizing machine runtime and cost reduction, the condition-based maintenance (CBM) strategy distinguishes itself from others in its use of real-time operational data from machines to help engineers make informed decisions. The introduction of machine learning (ML) into a CBM strategy can increase its effectiveness, enabling more accurate predictions and making the decision-making process more efficient. In this review paper, we seek to provide a comprehensive overview of the role ML plays in modern CBM systems, beginning by outlining the core concepts and historical development of CBM and briefly introducing various ML techniques being employed in industry today. We then review numerous real-world cases where ML-based CBM systems have been implemented and discuss some of the technological, human, and ethical challenges faced by organizations seeking to integrate sophisticated ML models into existing CBM systems. We end by highlighting some of the current limitations of ML-based CBM systems, paving the way for a discussion on emerging trends and future research directions in this area.

PENGEMBANGAN APLIKASI INFORMASI DALAM MEMBANTU PEMASARAN DIGITAL PRODUKSI OLAHAN JAMUR TIRAM DAN JERUK DESA DANDA JAYA, KECAMATAN RANTAU BADAUH, KABUPATEN BARITO KUALA, PROVINSI KALIMANTAN SELATAN

This activity aims to develop and implement an information application that can strengthen digital marketing strategies for oyster mushroom and citrus processed products for farmers in Danda Jaya Village, Rantau Badauh Sub-District, Barito Kuala Regency, South Kalimantan Province. Based on the initial survey and interview to the farmers, an information application was built that offers informative content, product promotion, and direct interaction with consumers through various features such as product information, recipes, and online ordering services. The implementation of this application is expected to increase visibility and consumer engagement, as well as expand the market reach for processed oyster mushroom and citrus products. Evaluation of application effectiveness is carried out through monitoring digital marketing performance, analyzing user data, and feedback from application users. It is hoped that the results of this activity can contribute to the development of digital marketing strategies for the food industry, especially in increasing market penetration and strengthening sales of processed oyster mushroom and orange products so that they can contribute to improving the economic welfare of the surrounding community.

Influence of Quality, Price, Place, and Promotion on Coffee Purchases

This study investigates how product quality, price, place, and promotion influence consumer purchasing decisions for Fore Coffee in Buduran District. Using quantitative methods and a Probability Sampling approach with 96 respondents, data were collected via online questionnaires distributed through social media. Analysis using SPSS version 22 includes validity, reliability, and classical assumption tests, along with multiple linear regression analysis. Results confirm that higher product quality, competitive pricing, accessible locations, and effective promotions significantly impact consumer decisions. The findings suggest that Fore Coffee should prioritize maintaining high product standards, competitive pricing, convenient locations, and engaging promotional strategies to enhance consumer purchasing behavior in Buduran District, offering practical implications for marketing management strategies in the coffee industry. Highlights: Quantitative analysis: SPSS used for robust consumer behavior insights. Marketing influence: Product quality, price, place, promotion impact purchasing decisions. Recommendations: Enhance quality, pricing, and promotions for consumer engagement strategies. Keywords: Coffee industry, consumer behavior, marketing strategies, quantitative research, Fore Coffee.