Company's Business Research Articles

Финансовые аспекты моделирования устойчивого роста в проектах развития энергетических компаний

The goal of this study is to elaborate the recommendations of managing the energy companies’ financial results for maintaining their sustainable growth. According to determined criteria various models of sustainable growth were chosen and tested. Some of them which showed the best prediction power were taken for the further study. Financial analysis of companies’ reports was done and the evidence about the existence of a pattern in forming their financial results was given. The factor analysis was carried out in order to find the impact of changes in external environment on the net income. The main factors that influence the amount of net profit and the sustainable growth ratio and the quantitative extent of their impact are determined. Final recommendations are the set of financial tools, using ones will increase the effectiveness of business of energy companies.

Foreign experience of implementing ethical values in the anti-corruption policy of private and public sector organizations

The author analyzed and systematized the experience of foreign countries regarding the peculiarities of the implementation of ethical values in the anti-corruption policy of private and public sector organizations. Senior management when implementing anti­corruption standards, regardless of the form of ownership of the organization, when making management decisions, should be guided by their own ethical beliefs regarding their actions, display of integrity, ethics, influence on employees of lower management levels regarding the example of the prevalence of anti-corruption standards when making management decisions. The importance of the Codes of Ethics in encouraging the top management of the USA, EU, and Great Britain in the formation of organizational ethics and the reputation of international companies was established, and the strategic importance of leadership in the prevention of corruption in the formation of anti-corruption programs and the fight against corruption risks was determined in his work on leadership in the prevention of corruption. The experience of the USA, the EU, and Great Britain has shown that compliance with ethical behavior by the middle and lower ranks and, accordingly, the reduction of corruption risks, is mainly implemented taking into account the example set by the management in conducting the company's business. It has been found that the main ways of creating an ethical atmosphere are: establishment of values and principles of the organization, approval of Codes of Ethics, internal control, accountability, regular informing and holding of training events by the management with its mandatory participation regarding ethical values, trust in the management and its personal compliance on issues of corporate ethics in the absence of an ethics officer position. The practice of management implementation of ethical values in the anti-corruption policy of public authorities in Australia has shown that the ways of such implementation can be: the introduction of external control procedures open to the public, as well as confidential reporting procedures for senior management. The experience of Liberia, Kenya, and Georgia regarding leadership and corruption in the management of companies and in the public service as one of the main causes of civil wars is analyzed. Positive practices regarding the use of anti-corruption policy and the establishment of the role of leaders in the management of African countries have become the implementation of anti-corruption policy and strategy in the top management of countries, decentralization of power and the practice of identifying and returning illegally obtained funds of government officials to state accounts. The author summarizes effective ways of implementing ethical values in public sector organizations, using the example of Georgia, namely: political loyalty of management in the field of management in the fight against corruption; implementation of e-governance and e-services, long-term investments in building a corporate ethical culture, implementation of a mechanism for direct access to information on combating bribery to the company's top management, and encouraging employees to report suspicious activity related to corruption. Using the example of Estonia, the peculiarities of the role of management in overcoming corruption, the implementation of anti-corruption initiatives, certain trends regarding the role of the leadership of the law enforcement sphere in anti-corruption policy have been established. Estonian legislation has formed trends regarding the identification of the role of management in the formation of anti­corruption culture in law enforcement agencies through organizational views on corruption and the views of managers on overcoming corruption, in particular: the openness of top management to discussing anti-corruption issues in relation to their own organizations; focus on the organizational culture of non-perception of corruption starting from the top management level; integration into everyday practice of existing ethical standards; prevention of corruption risks associated with senior officials of organizations.

Implementation of the Teaching Factory Learning Model to Improve Student Competencies in Entrepreneurship Subjects at SMKN 1 Bagor, Nganjuk Regency

This study aims to determine (1) the implementation of the teaching factory learning program, (2) describe the implementation of the teaching factory learning model in improving students in entrepreneurship subjects. Teaching factory learning aims to train students to become entrepreneurs. Teaching factory is implemented by setting up a business unit or company at school. The method used in this research is descriptive qualitative method. The data collection techniques used are documentation, interviews and questionnaires. Data validity uses credibility test criteria, transferability, dependability, and confirmabilitaty criteria. The data analysis technique used is the Miles and Huberman model, namely data reduction (Data Reduction), data presentation (Data Display), and conclusion drawing / verification. The results of this study can be obtained that: 1) the implementation of teaching factory learning is in accordance with the concepts and elements, equipment and equipment have been fulfilled, the marketing aspect has not been maximized, 2) teaching factory learning to improve student competence in entrepreneurship subjects. The goal is to train and facilitate students to maximize their talents and interests. The principles make students independent by instilling an entrepreneurial mentality, and 3) students have motivation to move forward, creativity, commitment innovation and honesty, The level of tendency of the entrepreneurial spirit of students is included in the high category. the implementation of the teaching factory learning model in improving student competence in entrepreneurship subjects includes 3 components, namely: (1) Product, (2) Block Schedule, (3) Job Sheet. The results of the Implementation of the Teaching Factory Learning Model are: the practical learning process is carried out based on real work procedures (real job), teaching factory learning is done by learning by doing, teaching factory learning activities produce learning that takes place centered on students (student active learning). Keywords: teaching factory learning model, student entrepreneurial competence

Quality of Carbon Emissions Disclosure on Corporate Sustainability Report Gojek Period 2020 and Goto Period 2021 – 2022

The high level of air pollution which is increasing from year to year causes air quality to decline. One of the causes of the increase in air is the growth in the number of motorized vehicles which causes an increase in the amount of emissions released in the form of Carbon Monoxide (CO), Hydrocarbons (HC), Nitrogen Oxide (NO). This shows that climate change is occurring. Climate change is one of the environmental problems that is currently of concern to stakeholders. The Carbon Disclosure Project (CDP) is a non-profit organization that operates focused on addressing environmental issues. CDP works by publishing information sheets which are useful as a guide for companies to disclose greenhouse gas (GHG) emissions resulting from the company's business activities. The company publishes a sustainability report which reveals carbon emissions. GoTo is a merger between Gojek and Tokopedia where in 2020 Gojek published a sustainability report. Scoring of carbon emission disclosures both quantitatively and qualitatively was carried out in this research. During the 2020-2021 period, the highest level of suitability and quality of disclosure was obtained by GoTo. Quantitatively, the climate change category has high disclosure quality. Qualitatively, the GHG emissions calculation category has the highest disclosure quality.

Penerapan Customer Relationship Management sebagai strategi pemasaran berbasis data di PT.Gragaz Berkah Sejahtera

Implementing Customer Relationship Management (CRM) as a data-based marketing strategy has become the main focus for many companies in optimizing relationships with customers. This research explores this through a case study at PT. Gragaz Berkah Sejahtera, a pharmaceutical retail company or pharmacy business that adopts this approach. This research aims to identify how PT. Gragaz Berkah Sejahtera integrates technology and Customer Relationship Management (CRM) theory to improve interactions with customers and how to optimize data-based marketing and sales processes. The research method used is a qualitative descriptive analysis method with the object studied being PT. Gragaz Berkah Sejahtera which involves collecting data, implementing CRM technology, and evaluating its impact on customer loyalty, retention, and increasing sales. While the results of this research highlight the company's success in implementing data-based marketing strategies in an effort to improve marketing and sales, as well as increase customer satisfaction, however these results have not achieved maximum success because there are obstacles in implementing the concept of customer relationship management such as system failures. data-based information technology applications. So that efforts to implement CRM programs are disrupted and have an impact on sales which have not achieved significant growth through this data-based marketing strategy. This research can provide important information and insights for other companies wishing to adopt the same approach in an effort to improve relationships with customers and achieve optimal and sustainable marketing and sales.

Implementation of Omnichannel Improves Business Performance Based on Integrated Marketing Communication

This research will examine a company engaged in the food and beverage industry. This research aims to create a business design based on the Business Model Canvas (BMC) approach and SWOT (Strength, Weaknesses, Opportunity, Threat) analysis as an innovation to improve the company's business performance. The object of this research is PT Tongku Raja Nauli located in Padangsidimpuan city. This research was conducted in the Micro, Small and Medium Enterprises (MSMEs) industry engaged in food processing made from egg rolls. The data collection procedure in this research is to use a qualitative approach by obtaining through direct observation, company records, in-depth interviews, and documentation in the form of photos and videos. The results of the SWOT analysis on the nine elements of the Business Model Canvas (BMC) show that there are internal and external factors that are strengths and weaknesses for the company in carrying out its business model and also what are the opportunities and threats from external that affect the business processes of PT Tongku Raja Nauli. This research resulted in the Tongku Snack Innovation program, a program that optimizes the Company's marketing. This program is assisted by Integrated Marketing Communication theory with the concept of Omnichannel Marketing which is proven to help companies increase sales, competitiveness and business continuity.

THE NEW TRENDS OF DIGITAL MARKETING AND ITS ROLE IN CHANGING CONSUMER BEHAVIOUR AND MARKET EXPANSION

Marketing trends are shifting regularly, especially with the rising number of competitors, buying capacity, regular innovation, increasing platforms and growing needs of the consumers. The online platform has built a strong foundation in India since the accessibility to internet graphed up till date. India is the second largest country after China to have the largest number of internet users till date and the access has expanded ever after the introduction of 4G network concept in India. Such a wide customer base provides robust place for an online market to set up the entire business operations and professionally provide services of handling the online market for several companies who seek to market their offerings online. The research on the topic was necessary to outline the recent trends that are affecting the market behavior on part of consumers and is also leading to the market expansion. The research will also help to identify the base reasons of the traffic of the internet and its conversion from a visitor to a consumer. Digital marketing has changed the face of traditional marketing involving bigger scale of competition in offering the marketing services to the business companies by giving tough competition in terms of design, promotion, providing reliable cardinals of change in market, building strong PR and rapport and creating hard hitting promotional strategies. The early access to internet was meant for military and government specific activities, but in the modern world the general activities only occupy a majority area of a pie chart which depict the usability index of daily internet usage of any random person.

EFEKTIVITAS DAN DAMPAK REVITALISASI PASAR TRADISIONAL TERHADAP PENDAPATAN PEDAGANG DAN JUMLAH KUNJUNGAN

One of the links in the company's business chain is the world center. The government aims to overcome the weaknesses of traditional markets by reviving traditional markets. The purpose of this study is to analyze the effectiveness and traces of the revival of traditional markets on business income and the number of visits to Pasar Anyar Sari Denpasar City. For this study, 152 respondents were selected from a total population of 590 using random sampling method. Descriptive analysis and two-dimensional differential test with paired samples were used as data analysis methods. Based on the results of the analysis and discussion, it can be interpreted that based on the income, process and output variables, it shows that the traditional market stimulation program at Anyar Sari Market is quite effective, namely 72.08 percent and traditional. The marketing stimulus program for Anyar Sari Market has had a positive impact on revenue and traffic of traders at Anyar Sari Market, Denpasar City. The effectiveness of the implementation of the traditional market revitalization program at Pasar Anyar Sari is quite effective. It is hoped that market leaders will continue to improve service and speed of response to various complaints from sellers.

МОДЕЛЮВАННЯ ГНУЧКОЇ СИСТЕМИ УПРАВЛІННЯ ЕФЕКТИВНІСТЮ ФУНКЦІОНУВАННЯ АКЦІОНЕРНИХ ТОВАРИСТВ В СУЧАСНИХ УМОВАХ

In today's complex economic conditions, a quality performance management system supports the implementation of the company's business strategy and uses its key elements in its activities: goals, flexibility, assessment and regularity of the company's performance management system. The goals of the company's performance management system are considered and implemented through the company's personnel. In order for the system to work effectively, the company's team

A conceptual model of artificial intelligence effects on circular economy actions

AbstractThe circular economy (CE) presents a contemporary approach to integrating economic activity and environmental well‐being sustainably, opposing the linear open‐ended system. However, implementing this paradigm poses challenges, needing a fundamental shift in companies' strategies and business models. Emerging technology can support companies in transition toward CE and in particular artificial intelligence (AI) can play a crucial role in facilitating this transition by supporting companies not only in specific CE activities but also in strategically redefining their entire business models. Recognizing the increasing importance of both AI and CE in management literature, our paper seeks to integrate these two distinct streams of literature. Starting from existing studies, it tries to provide a framework able to understand the role of AI technology into enhancing CE. Through a systematic literature review using the Preferred Reporting Items for Systematic Review and Meta‐Analysis protocol, using keywords research on three databases, we identified 63 articles that concurrently address both CE and AI topics. Subsequent co‐occurrence and content analyses revealed how AI is utilized to bolster CE efforts leveraging the ReSOLVE framework (from the acronymous of Regenerate, Share, Optimise, Loop, Virtualise, and Exchange)—an operational tool for CE. The last step consists into the development of a conceptual framework outlining four stages of AI's engagement with the CE: namely System optimization, System redesign, Business Model redesign, and Ecosystem innovation. From our study emerges that while AI is already recognized for enhancing specific activities within CE, its potential as a strategic planning tool for business model redesign and ecosystem innovation remains largely unexplored.

Does Environmental Uncertainty Play Moderating Role in Relation Between Business Strategy and Tax Avoidance

This research aims to analyze the effect of implementing a company's business strategy on the level of tax avoidance with environmental Uncertainty as a moderating variable. The population in this research is manufacturing companies on the Indonesia Stock Exchange in 2019-2022. The sampling technique used purposive sampling and obtained 91 companies. This quantitative research uses secondary data in the form of annual reports of manufacturing companies. The model used is panel data regression with a Random Effect (RE) testing model. This research produced three critical findings. First, the prospector strategy has a significant positive effect and is more aggressive in tax avoidance than the defender and analyzer strategies. Second, the defender strategy negatively and less aggressively influences tax avoidance compared to the prospector and analyzer strategies. Third, the relationship between business strategy and tax avoidance is moderated by environmental Uncertainty because it can strengthen the relationship between prospector strategy and tax avoidance and weaken the relationship between defender and analyzer strategies and tax avoidance. (weakening) Moreover, it can positively moderate the relationship between prospector strategy and tax avoidance (strengthening).

Fake Job Detection System

Abstract: The technology has been updated to one level up, and the idea of hiring the employees the business companies, through online procedure is carried out. This makes the companies to get the employees of required post more immediate and in a faster way. It will be cost-effective as well. By exploring the internet, one can get the job easily of their qualifications and the field they wish to work in it. The posted jobs may be fake or legitimate, which are unaware by the people. To get rid of these kind of problems we come up with a new software which is designed to predict the job posts, as a result producing whether it is fake or legit one. We are designing a system as Fake job Post prediction using the concept of machine learning, in that we are using Random Forest classifier that produces accurate results in an efficient manner. The designed algorithm achieves the result of 98% as compared to the previously used algorithms. The students or users who search for a job may find difficulties in identifying the job posts that are fake and apply for the jobs, entering all the personal information without knowing about it. In some case they may get into the scams like paying money in the form of application fees in the need of job or the assurance of getting job after paying the money. The framework helps us to detect the posted jobs are fake not.

Pemodelan Aplikasi Pengadaan Barang Menggunakan Metode Waterfall

Procurement of goods is a recurring activity in a company's business process. Meanwhile, the traditional goods procurement process is often felt to be less efficient and effective, so it requires a better solution. The traditional procurement process also often takes a long time, has high costs and lacks transparency. This can lead to inefficiencies and risks of abuse. This research aims to develop a more efficient and effective goods procurement application model using SDLC and waterfall methodology. This research uses observation methods to study the current procurement process and interviews to obtain input from stakeholders regarding application needs. The research results show that the goods procurement application model developed can help companies in the goods procurement process more efficiently and effectively. This application model can help companies save time and costs, as well as increase transparency and accountability in the procurement process.

Bankrupt widows. Gendered features of merchant business and bankruptcy in late pre-industrial society

ABSTRACT Bankruptcy has never treated people equally, and it still bares many gendered features today. In pre-industrial societies there were only a few bankrupt women debtors, and those who did go bankrupt were typically widows, who could continue their husband’s business and become commercially and legally independent. This article builds on a micro-historical case study of two Finnish merchant widows who eventually went bankrupt, with the aim of investigating the gendered features of trading business and bankruptcy, and what it meant to be a female debtor in the late pre-industrial society. The choices they had in these life cycle crises of losing a husband and insolvency are also examined. The article demonstrates that widows did business with a level of self-determination almost equal to men, but this meant they were held responsible when problems arose. Being a woman and a widow were not sufficient reasons to save a debtor from a lifetime of repayment liability, even though the widows appealed in the hope of achieving this. The article highlights that the widows felt compelled to continue the business independently, and that for women bankrupts, especially those who were older, family ties were particularly important when coping with bankruptcy.

A Performance Analysis of Security Protocols for Distributed Measurement Systems Based on Internet of Things with Constrained Hardware and Open Source Infrastructures.

The widespread adoption of Internet of Things (IoT) devices in home, industrial, and business environments has made available the deployment of innovative distributed measurement systems (DMS). This paper takes into account constrained hardware and a security-oriented virtual local area network (VLAN) approach that utilizes local message queuing telemetry transport (MQTT) brokers, transport layer security (TLS) tunnels for local sensor data, and secure socket layer (SSL) tunnels to transmit TLS-encrypted data to a cloud-based central broker. On the other hand, the recent literature has shown a correlated exponential increase in cyber attacks, mainly devoted to destroying critical infrastructure and creating hazards or retrieving sensitive data about individuals, industrial or business companies, and many other entities. Much progress has been made to develop security protocols and guarantee quality of service (QoS), but they are prone to reducing the network throughput. From a measurement science perspective, lower throughput can lead to a reduced frequency with which the phenomena can be observed, generating, again, misevaluation. This paper does not give a new approach to protect measurement data but tests the network performance of the typically used ones that can run on constrained hardware. This is a more general scenario typical for IoT-based DMS. The proposal takes into account a security-oriented VLAN approach for hardware-constrained solutions. Since it is a worst-case scenario, this permits the generalization of the achieved results. In particular, in the paper, all OpenSSL cipher suites are considered for compatibility with the Mosquitto server. The most used key metrics are evaluated for each cipher suite and QoS level, such as the total ratio, total runtime, average runtime, message time, average bandwidth, and total bandwidth. Numerical and experimental results confirm the proposal's effectiveness in foreseeing the minimum network throughput concerning the selected QoS and security. Operating systems yield diverse performance metric values based on various configurations. The primary objective is identifying algorithms to ensure suitable data transmission and encryption ratios. Another aim is to explore algorithms that ensure wider compatibility with existing infrastructures supporting MQTT technology, facilitating secure connections for geographically dispersed DMS IoT networks, particularly in challenging environments like suburban or rural areas. Additionally, leveraging open firmware on constrained devices compatible with various MQTT protocols enables the customization of the software components, a crucial necessity for DMS.

Contesting social responsibilities of business: Centring context, experience, and relationality

This introduction, and the special issue on ‘Contesting social responsibilities of business: Experiences in context’ it frames, addresses the neglected question of the experience of contestation in the terrain of the social responsibilities of business. It re-conceptualises the social responsibilities of business by advancing research grounded in a relational perspective, exploring and highlighting different forms of contestation of these social responsibilities, and centring the role of context by focusing especially on contestation in overlooked geographical settings and sites of marginalisation. Contextualising contestation in this way centres silenced and/or ignored voices, generates meaningful theory, and offers an innovative critical lens on business–society relations.

APPLICATION OF FISHBONE DIAGRAM IN USING ROOT CAUSE ANALYSIS (RCA) FOR DEVELOPING OF REVENUE AND EXPENDITURE SYSTEM IN MANUFACTURING COMPANY

This study aims to identify the root problems in developing income and expenditure systems in the PT ABC. This research uses qualitative methods with the Root Cause Analysis approach. The issues that arise in the company will be analyzed using the Fishbone Diagram. The result of this study explains that some problems occur in the company. The procedures, business processes, income, and expenditure in the enterprise are still done manually, so it takes a long time to analyze the factors of Man (user), Material (material/supporting documents), Machine (tools used), and Method (procedures/systems running). Based on the result of this study, PT ABC should have a website that can be used to process the cycle of income and expenses in real time. In this case, website design will be carried out to make it easier for companies to archive, create supporting documents, and report income and expenses. This finding will help PT ABC strengthen its internal control and increase the effectiveness of the company's business process. The difference between this research and previous research is that it uses a fishbone diagram approach to dig into the roots of problems that occur in companies. In the last research, no one had used a rooting approach and focused only on system development, so the issues that occurred needed to be described in detail. The limitation of this research is its focus on the root cause analysis of the revenue and expenditure cycle in manufacturing companies

The organization dilemma: investing in effectiveness versus efficiency?

Purpose Every business company deals with the dilemma of how much to invest in long-term (LT) versus short-term (ST) problem (LTvST problem). LT operations increase the reputation of the company, and revenue is rewarded in the future. In contrast, ST operations result in immediate rewards. Thus, every organization faces the dilemma of how much to invest in LT versus ST activities. The former deals with the “what” or effectiveness, and the latter deals with the “how” or efficiency. The role of managers is to solve this dilemma; however, they often fail to do so, mainly because of a lack of knowledge. This study aims to propose a dynamic optimal control model that formulates and solves the LTvST problem. Design/methodology/approach This study proposes a dynamic optimal control model that formulates and solves the dilemma whether to invest in short- or LT operations. Findings This model is illustrated as an example of an academic institute that wants to maximize its reputation. Investing in effectiveness in the academy translates into investing in research, whereas investing in efficiency translates into investing in teaching. Universities and colleges with a good reputation attract stronger candidates and benefit from higher tuition fees. Steady-state conditions and insightful observations were obtained by studying the optimal solution and performing a sensitivity analysis. Originality/value To the best of the authors’ knowledge, this paper is the first one to explore the optimal strategy when trying to maximize the short and LT activities of a company and solve the LTvST problem. Furthermore, it is applied on universities where teaching is the ST activity and research the LT activity. The insights gleaned from the application are relevant to many different fields. The authors believe that the paper makes a significant contribution to academic literature and to business managers.

ANALISIS PENYEBAB KETIDAKSESUAIAN PADA SAMPEL PENGUJIAN KUALITAS PRODUK CAT TEMBOK MENGGUNAKAN FAULT TREE ANALYSIS DI PT. XYZ

ANALISIS PENYEBAB KETIDAKSESUAIAN PADA SAMPEL PENGUJIAN KUALITAS PRODUK CAT TEMBOK MENGGUNAKAN FAULT TREE ANALYSIS DI PT. XYZ

Service Performance Measurement Using the Supply Chain Operation Reference Model in The Events and Travel Industry

Objective: This study aims to measure the performance of supply chain services using the Supply Chain Operation Reference (SCOR) Version 11.0 model in the events and travel industry. Design/Methods/Approach: The Supply Chain Operation Reference (SCOR) version 11.0 framework was employed to measure the performance of supply chain services. The performance indicators were assigned weights using the Analytical Hierarchy Process in Expert Choice Software. The performance achievements were marked using the traffic light system method, and an Action Plan was suggested for the company to improve its performance. Findings: The present study found 17 performance indicators consisting of 4 Plan performance attributes, 5 Source performance attributes, 3 Make performance attributes, 2 Deliver performance attributes, 2 Return performance attributes, and 1 Enable performance attribute. The weighting of each indicator resulted in the weight values for each activity from highest to lowest order, namely, Plan (0.317), Enable (0.297), Deliver (0.225), Source (0.95), Make (0.44), and Return (0.22). The performance measurement using a scoring system with the "larger is better" method and marking achievements through the traffic light system resulted in the company's aggregation value of 78%, indicating that the company still needs improvements in its supply chain service process even though the company's performance achievement is quite good. Originality: This research presents a new perspective on using SCOR-based performance measurement in service companies to become the basis for strategic decision-making and lead companies to achieve their competitive capabilities. Practical/Policy implication: The SCOR framework in every company business activity will provide a comprehensive view of the service supply chain as evaluation material for the company's service supply chain.