Company Plans Research Articles

Interconnecting Science-Based Target with company supply chain to contribute climate action – lesson learned from Indonesia

Science-Based Target (SBT) has become popular since 2020 as a promising platform for reducing greenhouse gas emissions. Recent studies found that SBT diffusion in low- and medium-income countries remains unresponsive even in emission-intensive sectors. Setting realistic targets for aligning actions across each chain, planning and implementing targeting methods, and developing SBT governance to respond to stakeholder interests can influence the climate change response. This paper describes how the international supply chains influence Indonesian companies to apply SBT through the demand side. This paper will depict early initiatives and evidence with descriptives data that announce the Indonesian company's plan to achieve established SBT. The result shows that Indonesian company still rare to implement SBT and the initiatives begin when triggered by international demand on supply chain.

A Case for Effective Business Association Membership Codes of Ethics and Conduct

A business association is a collaborative organization founded and funded by businesses or business owners and usually represents companies operating in an industry or across industries. Business associations often institute a code of ethics, code of practice, and/or code of conduct that guide member company policy and behavior. Specifically, the paper will thoroughly define codes of ethics, conduct, and practice; their relationship to each other is delineated and explained; examples of three business associations’ codes of ethics and/or conduct are explored; and the U.S. legal environment—focusing on antitrust considerations that governs their organizational use—evaluated for business association compliance enforcement. Given this exploratory and explanatory research foundation, managerial recommendations are offered in the discussion section to assist business associations, and by extension, their member companies, in effectively utilizing such association governance codes in both association and company planning, policy development, and operational management activities in domestic and global commerce.

Development of intra-company planning tools at an oil and gas producing enterprise

Due to various external factors such as the economic crisis and the depletion of easily accessible hydrocarbons, oil and gas companies are facing the challenge of developing hard-to-recover reserves. As a result, these companies need to reevaluate their tools and approaches to intra-company planning. This article explores the enhancement of intra-company planning by adjusting traditional methodological tools in response to the industry-specific nature of oil and gas enterprises. The authors focus on the balanced scorecard method and identify its limitations in the classical model. They propose adjustments by introducing additional key performance indicators to improve the system of intra-company planning. An algorithm for optimizing intra-company planning in oil and gas companies is developed, integrating the balanced scorecard approach. To validate the effectiveness of these recommendations, the authors analyze the degree of achievement of target performance indicators for activity planning efficiency in one oil and gas company. The results of the study are confirmed through forecasting methods, demonstrating that the implemented measures lead to long-term improvements in enterprise efficiency and overall management decision-making. It is worth noting that these recommendations can be applied to numerous industrial sector enterprises in the Russian Federation.

ЗАПОВНЕННЯ БАЗИ ДАНИХ ЧЕРЕЗ КОЛЕКЦІЇ

ERP (Enterprise Resource Planning) information systems are necessary components of modern business, which play a critical role in managing enterprise resources and integrating business processes. By providing centralized management, integration, and automation, ERP systems help businesses effectively manage their operations, reduce costs, increase productivity, and make informed decisions. ERP information systems consist of various modules that interact with each other and provide comprehensive functionality for managing various aspects of the organization's activities. There are many popular ERP systems on the market that meet the needs of various industries and organizations. These systems are only a few examples on the market for ERP systems, there are many other solutions that can meet the specific needs of organizations of different sizes and industries. The choice of the system should take into account the needs of the enterprise, the budget, scalability and integration capabilities. Thus, an example of ERP - a system that takes into account the specifics of resource planning of industrial companies of PJSC "PlasmaTech" is called the "PlasmIS" information system. This system is constantly being developed and improved, taking into account the changing needs of factories producing welding electrodes, starting from the supply of materials and raw materials to the manufacture of finished products. Expansion and creation of new modules in the "PlasmIS" system take place in accordance with the tasks set, in particular in the field of filling the database through collections, providing new functionality of the system." [1]. This article presents a research study on the use of collections for populating databases. Various types of collections and their advantages are discussed, and methods for inserting data from collections into databases are analyzed. The impact of using collections on system performance is also investigated. The research confirms the effectiveness of using collections for populating databases and improving system performance.

Development of strategic planning of a financial education company in Brazil: an approach based on the new Multicriteria Decision Analysis Method S.W.O.T-D.M.S

Structured decision-making plays a pivotal role in an organization's Strategic Planning process, offering essential elements to enhance the precision and effectiveness of the planning at hand. Accordingly, this article aims to demonstrate the implementation and advancement of the S.W.O.T-D.M.S Multicriteria Decision Method, utilized in conjunction with the SWOT Matrix to rank alternative options within the Strengths, Weaknesses, Opportunities, and Threats segments. To reduce the cognitive effort on decision-makers, a VBA framework was developed. Additionally, an application of the S.W.O.T-D.M.S Method was carried out in a Brazilian company focused on promoting financial education, effectively illustrating its operational functionality.

ІНСТРУМЕНТАРІЙ СТРАТЕГІЧНОГО АНАЛІЗУ В ОЦІНЮВАННІ ІНВЕСТИЦІЙНОЇ ПРИВАБЛИВОСТІ ПІДПРИЄМСТВА

Background. The key criterion for choosing an investment object is the level of its investment attractiveness. In the presence of various methods of assessing the level of investment attractiveness, there is a risk of subjective assessment, which can lead to financial losses. The analysis of the enterprise using the methods of strategic and financial analysis provides the result, which helps to fully assess the prospect of investment in a selected object, industry, or territory. The purpose of the study is to determine the level of investment attractiveness of the enterprise in the field of television and to consider possible directions for its increase to ensure competitiveness in the domestic market. The object of the study is the process of determining the investment attractiveness of a media company. Methods. Methods of analysis and synthesis (analysis of the media market and identification of key players on it), strategic analysis for positioning the research object through the construction of a competitiveness polygon and a matrix of strategic orientations for the media market company, financial analysis methods for calculation were used to reveal the purpose and objectives of the research. integral indicator of the investment attractiveness of the company. Results. Approaches to the assessment of the investment attractiveness of the enterprise and the peculiarities of the application of the integral indicator in this process have been studied. The advantages and disadvantages of this method are highlighted. An integral indicator of the assessment of the investment attractiveness of the enterprise in the field of television is applied. The state of the media market was analyzed and the competitiveness of its main participants was assessed according to such factors as: personnel potential, resource potential, production capabilities, investment potential, recognition and adaptability to new conditions. Conclusions. The competitive advantages of the enterprise were determined and a matrix of strategies was developed to increase its investment attractiveness by identifying the main problems in the enterprise's activities in the following areas: human capital, innovation capital, production and technical capabilities. The work on eliminating the identified gaps in the company's activities will contribute to the promotion of the manufactured product on the domestic market and the promising Eastern European market, in accordance with the company's strategic plans.

Integration of coupled sectors decarbonization pathways across the value chain into corporate carbon management processes

To contribute to the mitigation of climate change, a significant number of businesses from a wide range of sectors increasingly commit to science-based carbon reduction targets. However, to integrate their ambition into strategic and operational business processes, companies often merely rely on historically determined emission data. These data provide limited support in forecasting the company's future product emissions within the framework of corporate carbon controlling. This implies for example that windfall gains from regulatory and individual decarbonization efforts in coupled sectors can only be forecasted to a limited extent. Yet, for a more reliable basis for decision making, not only proactive product planning but also scenario pathways on how coupled business sectors will progress must be incorporated. Especially for companies with complex, globalized supply chains highly dependent on raw materials, this leads to a more dependable analysis of the carbon hot-spots to be tackled. Therefore, based on an analysis of current corporate carbon management practices, a framework is elaborated to expand corporate carbon controlling to coupled sectors and their decarbonization pathways. This includes a method to integrate decarbonization forecasts of coupled sectors within a company's product planning activities. This method is illustrated with an exemplary case study, in which the product related emissions of a fictive automotive manufacturer are forecasted between 2020 and 2050 using product portfolio projections and coupled sector decarbonization. The latter leads to an overall company's carbon emissions reduction in 2050 by about 77% in comparison to the prediction neglecting external sustainability aspirations and thus emphasizes the importance of capturing these effects.

Strategic planning of the collaboration between humans and artificial intelligence in production

Artificial intelligence (AI) holds a vast potential for various applications and benefits in production, particularly concerning the collaboration of humans and AI. Their complementary skills can lead to significant advantages. However, the implementation of AI presents technical, organizational, and employee-related challenges that must be addressed from a socio-technical perspective. Concrete actions are necessary, such as defining the roles and responsibilities between humans and AI and selecting appropriate AI applications. Given the extensive scope of potential changes and challenges, a systematic approach is required.Therefore, this paper presents an approach for strategically planning of the collaboration between humans and artificial intelligence in production. The approach is based on an extensive literature review and empirical surveys and includes use cases, design fields, and a procedure model. This model allows companies to assess their current situation in terms of relevant capabilities for human-AI collaboration in manufacturing. Additionally, it identifies any organizational capabilities required for human-AI collaboration that may be lacking for specific use cases, enabling the derivation of necessary measures. Some measures may be similar across different use cases, allowing for the creation of bundles of measures to integrate AI into different work processes. The approach is integrated into a company's strategic planning as a strategic initiative, ensuring alignment with other sub-strategies such as the IT strategy.

Strategical and tactical asset management for the North Line in Portugal

The tool presented in this paper attempts to bridge the gap between the top management level of a company and maintenance planning, by providing a way to support strategic decisions with a clear evaluation of what would be required at the tactical level. It supports the infrastructure manager to answering questions like “If we have a reduction of the total budget of 10% are we still able to reach the requested quality level?”. The tool will enable the infrastructure manager to estimate the consequences of strategic decisions, as it relies on detailing the tactical planning that would be necessary to execute. For this purpose, the tool was designed with a modular structure to ensure transferability to databases of other infrastructure operators.

Multi-criteria group decision making method in Pythagorean interval-valued neutrosophic fuzzy soft soft using VIKOR approach

In contrast to the Pythagorean interval valued fuzzy soft set and the neutrosophic interval valued fuzzy soft set, the Pythagorean neutrosophic interval valued fuzzy soft set is a generalization of these sets. We discuss aggregating PyNIVFS decision matrixes by using aggregated operations. The VIKOR method, which is an extension of neutrosophic fuzzy soft sets, is a powerful method for evaluating multi-criteria group decision making. The score function in this approach is based on the aggregation of the VIKOR method to a PyNIVFSpositive and negative solution. Optimal alternatives are introduced under closeness. An investment company plans to purchase some shares of the top five companies in the stock exchange to invest some money on. In order to minimize this factor, they decided to invest some of their cash in percentages of 30 dollars, 25 dollars, 20 dollars, 15 dollars and

Industry 4.0 workforce: encyclopedia of the digital professions by groups of technological innovation

Purpose: The purpose of the paper was the need to systematise the digital professions of Industry 4.0. With the development of new technologies, the demand for new employees is increasing. Companies need more and more employees with digital skills. The question arises: who do companies need for their Industry 4.0 strategy. Design/methodology/approach: The paper consists of two parts: an overview of the competences of the Industry 4.0 workforce and a list of IT professions. The list of occupations is based on a review of government websites: www.praca.gov.pl; www.prace.cz. The paper presents occupations according to the innovative technologies of Industry 4.0. Findings: Demand for employees is driven by the key technologies of Industry 4.0. The analysis of IT professions is presented by the following technologies: ITC systems and networks, automation and robots online, AI, Big Data, Big Data Analytics, IoT, Cloud Computing, Cybersecurity. Research limitations/implications: The list of professions included in the paper is not complete, but exemplary (it was made on the basis of job offers posted on the websites in December 2022). The list was created during a review of Polish and Czech government websites, which are both job listings and encyclopedias of occupations. Practical implications: This paper is an overview of IT professions that are particularly needed in Industry 4.0. The prepared description of professions according to the innovative technologies of Industry 4.0 can help companies plan the development of human resources. Originality/value: The topic of the human factor in Industry 4.0 is important and topical. Technologies are constantly changing and industrial concepts are evolving (currently Industry 4.0 is changing into Industry 5.0). In the technological and industrial innovations taking place, the question of the competence of the modern company's employee is still relevant. Keywords: Industry 4.0, workforce, digital skills, digital professions. Category of the paper: general analysis.

Artificial intelligence disruption and its impacts on future employment in Africa - A case of the banking and financial sector in ghana

Artificial Intelligence is a transformative technology with the potential to both displace and create jobs across industries. Experts believe it will greatly benefit humanity by reducing tedious tasks and advancing technology. The World Economic Forum predicts that by 2025, 50% of tasks will be automated, compared to the current 29%, and around 75% of companies plan to adopt AI, with 50% expecting it to drive job growth, according to their 2023 report. Fast-growing roles stem from technology, digitalization, and sustainability. By 2025, AI will replace 75 million jobs but generate 133 million new ones, resulting in a net increase of 58 million jobs globally. However, certain industries will face significant displacement, and AI's impact on unemployment rates will differ across countries, regions, and industries. AI will likely displace jobs in manufacturing but boost employment in healthcare and education. However, experts warn of AI's risks for job market in Africa, citing automation replacing repetitive tasks like data entry and customer service. Adapting skills to the changing job landscape is crucial, but it comes with added costs for both individuals and organizations. AI advancements are set to automate routine jobs, potentially causing employment shifts in Africa, similar to global trends. New opportunities in AI, data science, and tech may emerge, but the impact hinges on AI adoption speed, infrastructure, and policies. Challenges like skills gaps, data ecosystems, ethics, policies, infrastructure, and user attitudes hinder AI adoption, affecting industries, as seen in Ghana. To boost AI adoption in Africa, building strong ecosystems involving policymakers, universities, companies, startups, and partnerships is crucial. Failure to address these challenges will hinder Ghana and Africa's progress, causing them to fall behind globally. This paper highlights the hurdles faced by Ghana and African nations in AI adoption, emphasizing job displacement and unemployment effects on job seekers. Its aim is to equip policymakers and stakeholders with insights into AI's disruptive nature, aiding in the creation of sustainable policies for the industry. The study started with a review of AI disruption's impact on future jobs in Africa using secondary sources on evolving AI tech. It also involved gathering firsthand data via interviews in Ghana to understand challenges in AI adoption, especially among industry professionals.

디지털 네이티브 세대를 위한 포토 스팟의 활용 방향성에 관한 연구 - 브랜드 체험공간 아더스페이스 3.0을 대상으로 -

Companies plan to attract consumers by planning a brand experience space. In order to actively utilize “photo sharing through SNS,” the biggest characteristic of the digital native generation, they are striving to establish a photo spot that can capture the attention of the digital native generation in a brand experience-type space. Based on this, this paper identifies what elements a specific generation frequently takes photo in a brand experience-type space and for what purpose they share photos on SNS. This study targeted the digital native generation, newly defined the scope of recognizing the elements of the brand experience space as photo spots, and investigated the purpose and characteristics of sharing the photographed photos on SNS. It aims to propose the design of a space in consideration of photo spots in the process of establishing a brand experience space in the future. The subject of this study will be conducted for digital native generations, and set as ‘ADER Space 3.0’. The research method was conducted focusing on observation surveys and interviews, and the following conclusions were drawn. The generation who frequently visited offline stores was a digital native generation who values personality and experience, and sharing photos through SNS is a familiar and daily act for them. Also, the elements of the space in the brand experience space, which has been filmed a lot for the digital native generation, are mirrors, objects, and the entire space. Based on the photos they have taken, photo spots shared a lot on SNS appear as objects, mirrors, furniture, and logos. When analyzing the purpose and meaning of SNS sharing for each spatial element item, it was seen that objects appeared close to Playfulness, mirrors and furniture to recordability, and logos were close to homogeneity.

К надежности выбора аутсорсинговой компании на рынке транспортно-логистических услуг

The article considers the reliability criteria when choosing a supplier of transport and logistics services. There has been conducted analysis of modern scientific literature by Russian and foreign authors, studied the statistical reports of transport and logistics companies. Two main problems in the activities of transport and logistics service providers are highlighted: the impact of transport and logistics outsourcing on vulnerability of the supply chain and the achievement of acceptable financial performance. It has been inferred that choosing the transport and logistics services supplier is a complex multi-criteria task including the use of both quantitative and qualitative criteria for decision-making. At the same time, when using different methods, the conclusions may contradict each other. Choosing the right third party logistics (3PL) provider logistics managers may not be sure that their choice will meet the needs of the company. Therefore, the decision to use a third-party logistics service provider depends on many factors that may vary from company to company, with the final choice depending on future goals, product lines, company plans, expansion, etc. Factors indicating success in choosing an outsourcing company include: cost reduction, maximum on-time delivery, minimum order lead time, increase in the number of alternative solutions, increase the efficiency of logistics activities, reduce logistics management costs, improve customer relationships and create mutually beneficial relationships in the supply chain. The criteria for selecting third-party transport and logistics companies are given (in descending order): price, reliability, location, timeliness of the order, cost reduction, management flexibility and innovation, quality of management, quality of service, personalized service, reputation of the supplier, technical competence, good communication, variety of services available.

FOOD SECURITY OF THE ODESSA REGION:TODAY AND PROSPECTS

Today, food security occupies an important place in the national security of the country and each region separately. Food security of the region primarily involves providing the population of the region with sufficient quantity, high quality and a wide range of food. Odesa region is a region in which agricultural enterprises and households are engaged in crop production, animal husbandry and their own processing of agricultural products. The general state and problems of food security in the Odesa region were considered, namely, the dynamics of the production volumes of grain and leguminous crops were analyzed, and the current state of development of the animal husbandry industry was studied. The main points that have a significant impact on the formation and development of the livestock products market in this region have been identified. Agricultural enterprises in this region were analyzed, namely the "Bessarabska" branch of "NIBULON" LLC, which today is a grain transshipment terminal, but in the future the company plans to build a full-fledged elevator and a flour mill; "ISMAIL-TRANSBALKTERMINAL" LLC is an oil extraction plant. The expediency of introducing the latest advanced technologies for growing and processing agricultural products is considered. The analysis of the current state of agriculture and agricultural enterprises shows that there is an available raw material base and farm animals are kept in this region. The export of grain crops to foreign markets has significantly decreased compared to previous years, therefore the increased development of animal husbandry is relevant and effective, which will increase the efficiency of the use of available resources, ensure the growth of labor productivity and employment of the population in rural areas. Recipes of compound feed for sheep have been calculated, in terms of the number of which this region is the leader among other regions of Ukraine. It is proposed to create small regional producers of food and compound feed products, which will allow to meet the needs of Odesa's consumers with food and feed products, as well as the export of products with added value.

Interval-Valued Picture Fuzzy Maclaurin Symmetric Mean Operator with application in Multiple Attribute Decision-Making

A lot of fuzzy models have been planned and researched to review the information under uncertainty and ambiguity. Among these, the model of the interval-valued picture fuzzy set (IVPFS) is very important which can explain the information by four possibilities in the opinion of experts using a membership degree (MD), non-membership degree (NMD), abstinence degree (AD), and a refusal degree (RD) in the form of intervals. The gathering of data is difficult all the time, particularly when the difference of opinions is connected. This article aims to explore the idea of a Maclaurin symmetric mean (MSM) operator in the framework of IVPFS. In this article, we have studied MSM in the framework of IVPFSs and discussed their application in picking the most suitable company benefit plan (CBP) using interval-valued picture fuzzy (IVPF) data. The proposed operators IVPF MSM (IVPFMSM), IVPF weighted MSM (IVPFWMSM), IVPF dual MSM (IVPFDMSM), and IVPF dual weighted MSM (IVPFDWMSM) operators are found trustworthy with the basic properties. Finally, to show the proposed method's importance and significance, a numerical example has been provided and results have been compared with some existing operators.

The Effect of Profitability and Leverage on Tax Planning with Company Size as a Moderating Variable

<p><em>The contribution of tax revenue to the Indonesian State Budget is greater than that of other sectors. The company views taxes as a burden that can reduce profits, so the company does tax planning. The tax planning strategy commonly used by companies is tax avoidance by taking advantage of the current legal loopholes. This study aims to examine the effect of profitability and leverage as well as the effect of firm size as a moderating variable on tax planning in coal mining sub-sector companies listed on the Indonesia Stock Exchange during 2016-2021. The research method used in this study is quantitative using secondary data in the form of financial statements of coal mining companies listed on the Indonesia Stock Exchange during 2016-2021. The sample of this research is 10 mining companies in the coal sub-sector with an observation period of 6 consecutive years. The data analysis technique in this study used multiple linear regression analysis and moderated regression analysis. The test results show that profitability has a significant negative effect on tax planning, leverage has a significant positive effect on tax planning, and firm size cannot moderate the effect of profitability and leverage on tax planning.</em></p>

SUSTAINING COMPETITIVE ADVANTAGE DURING COVID-19 PANDEMIC: A PRELIMINARY CASE STUDY OF AEROSPACE MANUFACTURING INDUSTRY IN MALAYSIA

The coronavirus (Covid-19) hits the world at a stage where companies plans are affected due to unplanned business disruptions and operations and the aerospace manufacturing industry is one of the industries that was hit severely. This paper is a preliminary attempt to investigate the impact of COVID-19 on the competitive advantage of one of the aerospace manufacturing companies as a case study. Through a comprehensive literature study and survey, this paper presents an interpretation of competitive advantage theory where the research framework presents the impact of internal and external influences on a company’s competitive advantage and whether strategic management mediates the impact. It illustrates the general concepts and development of hypotheses using the internal and external influences and strategic management. Quantitative analysis using survey will be used to collect and analysis of data from 30 leaders and executives that have been chosen for this study using PLS SEM. It is expected that this study will present a guide that illustrates how theories, general concepts and processes can be managed, allowing strategic management personnel to understand their market position and, from there, identify where the future direction.

Tax planning and financial performance of insurance companies in Ghana: the moderating role of corporate governance

The insurance industry is a contributor to gross domestic product (GDP) in the Ghanaian economy and, thus, effort at improving its financial soundness through tax planning (TP) could enhance its level of GDP contribution. Previous studies on TP have been conducted mainly among the non-financial firms, with few on banks. This study turns the attention of TP towards the insurance industry, which has been a good source of fund mobilization in the country. Within the systems panel dynamic generalized method of moments (GMM) framework, the study examined the moderating impact of corporate governance (CG) on the relationship between TP and the performance of insurance companies in Ghana. The study employs the causal design to examine the extent and nature of the cause-and-effect relationship between the quantitative variables used. The data comprised of 117 observations from 35 Ghanaian Insurance firms over the 2012–2017 period. The study found evidence of a non-linear relationship between tax planning measured by effective tax rate (ETR) and the performance of insurance companies measured by return on equity (ROE) and return on asset (ROA). Moreover, the study found that CG moderated the relationship between TP and the performance of insurance companies. The study recommends that managers of insurance companies intensify the CG measures to help mitigate the agency conflict and associated costs between management and shareholders.

On the issue of the rate of accidents in Russia's electric networks (by the example of "Rosseti Lenenergo" PJSC)

The article discusses in detail the issues related to the electric energy transmission through the electric PJSC Rosseti Lenenergo networks over the 2014 - 2021 operation period. The purpose of the article is defined as a study of the accident rate in the Company's electrical networks, for which a number of tasks to be considered are formulated. The results of annual reports on the number of failures in the Leningrad region and St. Petersburg electrical networks in 2014 - 2021, broken down by months, are used as source data. To approximate the series of emergency shutdowns, programming algorithms developed by the authors were used, which, through the technologies of the Matlab graphics editor, present the visualization of the studied characteristics. The structure of the electric networks on the Company's books, both in the Leningrad region and in St. Petersburg, is considered. The balance of electric energy for the period under study and the data on its losses during power transmission are analyzed. The assessment of the level of damage to electrical networks by events of stable and unstable failures was made. The principal causes of failures are classified, and their percentages related to the total number of failures across the Company's structural units is established. The relationship is established for the number of failures in particular months of the time period under study. The Company's plans of repair and restoration activities are considered, and the correlation coefficient concept is introduced, which establishes the relationship between the number of emergency shutdowns and the set of measures aimed at ensuring the reliability level for the uninterrupted functioning of electric power transmission facilities.