Company Information Research Articles

Dampak Implementasi Enterprise Resource Planning di Era 5.0 Terhadap Kualitas Informasi Akuntansi, Nilai Perusahaan, dan Manajemen Laba

This study aims to determine the impact of Enterprise Resource Planning (ERP) implementation on the quality of accounting information, company value, and earnings management in companies listed on the Indonesia Stock Exchange (IDX) in 2024. Technique used in this study was puposive sampling of 48 company data that met the criteria as observation units, the analysis method used was non-parametric analysis of the Wilcoxon test. The results of this study are that there are significant changes in the quality of accounting information in companies listed on the Indonesia Stock Exchange (IDX) after implementing Enterprise Resource Planning (ERP), there are no significant changes in the value of companies listed on the Indonesia Stock Exchange (IDX) after implementing Enterprise Resource Planning (ERP), and there are no significant changes in earnings management in companies listed on the Indonesia Stock Exchange (IDX) after implementing Enterprise Resource Planning (ERP).

What technologies are used to ensure information security and data protection at enterprises and organizations?

The article is a comprehensive review of the main aspects of ensuring information security in modern organizations. The author considers key organizational and technical measures to protect information, paying special attention to the human factor and personnel training. The issues of password management, timely system updates, security audits, the use of modern security technologies and domestic solutions are discussed. Legal aspects and features of ensuring information security in various industries are touched upon. The article contains practical recommendations for managers on increasing the level of protection of the company's information assets.

Pengaruh Kompensasi, Kepuasan Kerja, dan Motivasi Kerja Terhadap Loyalitas Karyawan Waroeng Spesial Sambal Kota Yogyakarta

This study aims to explore the impact of compensation, job satisfaction, and work motivation on employee loyalty. Employee loyalty is crucial for maintaining stability and productivity within an organization, making it important to understand the factors influencing it. This study employs a quantitative approach using a questionnaire consisting of closed- and open-ended questions, utilizing a Likert scale to measure employees' perceptions of compensation, job satisfaction, work motivation, and loyalty. The questionnaire was distributed using a census method, successfully gathering responses from 77 employees. The data analyzed were collected from employees of Waroeng Spesial Sambal who had worked for at least two years and held waiter positions across 18 branches in Yogyakarta. The findings reveal that compensation has a positive and significant impact on employee loyalty, indicating that providing timely, comprehensive, and fair compensation can enhance employee loyalty to the company. Job satisfaction was also found to have a significant positive impact, demonstrating that employees who feel satisfied with their work tend to exhibit higher levels of loyalty. Additionally, work motivation contributes positively to loyalty, suggesting that companies need to formulate specific strategies to enhance employees' intrinsic and extrinsic motivation. Overall, this study concludes that compensation, job satisfaction, and work motivation collectively have a significant positive impact on employee loyalty. These findings can serve as a reference for other researchers interested in employee loyalty issues. Moreover, the results provide valuable information for companies to develop policies focused on improving employee loyalty.

Performance Evaluation and Analysis of a Vehicle

The rapid advancements in technology and the growing demand for personalized solutions have revolutionized the automobile industry. This report introduces a Vehicle Performance and Analysis Application, designed to streamline the process of finding vehicle details based on user-defined parameters. The application provides comprehensive insights into vehicle specifications, performance metrics, and associated company information, enabling users to make well-informed decisions. Additionally, it offers manufacturers and dealers valuable analytics on user preferences and frequently searched criteria. The application features an intuitive search mechanism that allows users to filter vehicles based on parameters such as fuel efficiency, engine power, seating capacity, price range, and more. It also includes a comparison tool to evaluate multiple vehicles simultaneously. For manufacturers and dealers, the app provides real-time data on market trends and user preferences, helping them tailor their offerings and marketing strategies.By integrating advanced technologies such as dynamic database systems and analytical modules, this application enhances the user experience and facilitates data-driven decision-making for companies. The Vehicle Performance and Analysis App thus bridges the gap between consumer demands and market offerings, fostering transparency, efficiency, and innovation in the automobile industry.

'Piloting a framework for analysing the public contributions to R&D: new antibiotics in focus'.

Within the context of increasing transparency around public contributions, a framework for reporting and analysing public contributions to research and development (R&D) was previously developed and is piloted here using the example of antibiotics. The aim of this work is to check whether the category system is feasible, to revise and adjust the granularity of the category system where necessary, and to expand the range of sources for detailed analyses. All antimicrobial medicinal products in development, discontinued and approved in the last 10 years were identified in the literature. Thereafter clinical trials and company information was searched generating a list of 56 compounds where primarily small to medium-sized enterprises (SMEs) were involved in antibiotics development. Information on clinical trials, university spinouts and public funding for SMEs was then gathered from various sources. The framework for classifying public contributions was then applied. We found that around one-third of antibiotics are developed by SMEs. We identified numerous public funding sources for SMEs that develop antibiotics. At both early-stage and late-stage development, public research funding is the most common public funding reported by SMEs, ahead of other public sources like public equity funds, private-public partnerships and philanthropic sources. A deep-dive into one antibiotic drug, Venatorx, revealed public funds investment of approximately $655 million, dwarfing private investment funds. We found the classification framework generally practicable and we suggest recommendations to improve its granularity and applicability. In this paper we piloted and revised a framework that has been developed to classify types of public contributions to pharmaceutical products at different stages of development. The framework, together with work we have done on identifying sources for funding, can be applied to support pharmaceutical price negotiations that reflect the level of public contribution to product development.Trial registration: EU Clinical Trials Register identifier: 0004-2083-2207.Trial registration: EU Clinical Trials Register identifier: 0003-1754-9422.

Transforming Contract Management: A Comprehensive Analysis of AI Integration in Legacy and Ongoing Contracts

Artificial intelligence (AI) and contract intelligence offer a revolutionary solution for contemporary contract administration, addressing the unique difficulties presented by both legacy and continuous contracts. This technical article investigates how automated data extraction, risk assessment, and process optimization driven by artificial intelligence transform contract management. Usually kept in conventional repositories, legacy contracts allow the system to retrieve and analyze important data in mass while including human confirmation for accuracy. By means of real-time AI processing for instantaneous analysis of third-party documentation, negotiation facilitation, and pre-signature risk evaluation, continuous contract management reduces the requirement for human review in the processing pipeline. While addressing implementation concerns, system integration issues, and future advancements in the field. This article investigates the technological underpinnings of Contract Intelligence—including Natural Language Processing and Machine Learning algorithms, including By means of thorough comparative research of heritage and contemporary contract management strategies, this article offers insightful information for companies trying to modernize their contract management systems while preserving compliance and operational effectiveness.

Pola dan Persepsi Petani Kopi Terhadap Kemitraan di Kabupaten Dairi

Dairi Regency is one of the leading coffee producers in North Sumatra. Most of the coffee farmers in Dairi Regency are engaged in contract farming (CF) with the company PT. Wahana Graha Makmur (WGM). However, the implementation of CF could have been better. This research aims to analyze the mechanisms of established CF patterns and to find out how partner farmers perceive CF in Dairi Region. The survey was conducted from June to December 2023 in Sumbul, Parbuluan and Sitinjo Districts. Respondents were 90 partners of the Cimata Makmur cooperative and 70 partners of the MPOK Catholic Church. CF patterns were analyzed using descriptive analysis, and farmer perceptions were analyzed using a Likert scale. Seven indicators were used in perception analysis: relative advantage, suitability, complexity, communication, cooperation, trust and commitment. The Mann-Whitney test was also conducted to determine differences in the perceptions of partner farmers. The results show that the CF pattern between cooperative partner farmers is a multiparty model, and the partnership pattern between church partner farmers is an intermediate model. Research also shows differences in perceptions between cooperative partner farmers and church partners. These findings provide useful information for companies as a basis for improving partnerships. Farmers' perceptions can be improved with good communication management to reduce the lack of information among partner farmers.

DIGITAL TRANSFORMATION IN MACHINERY MAINTENANCE IN A LOOM CONSTRUCTION COMPANY

The management of maintenance information in a loom manufacturing company presents significant challenges. After technical analysis, the need to enhance the record-keeping of CNC machine maintenance was identified, aiming to improve efficiency and communication among the involved departments. Based on the Design Science Research (DSR) approach, the study proposed the creation of an application, with the collaboration of company experts, to identify four main needs: access to occurrences, problem description, record of improvement activities, and cloud storage. The implementation of the application resulted in significant improvements, including clearer information, reduced machine downtime, and better maintenance planning. This digital transformation proved to be an effective strategy to optimize processes and increase operational efficiency within the company, highlighting the importance of integrating technologies to overcome challenges in the industry.

Web-Based Employee Recruitment Application at PT Parastar Group Utilizing the Rapid Application Development (RAD) Method

The research designs a web-based employee recruitment information system developed for PT. Parastar Group, by utilizing PHP and MySQL. This system offers a solution for companies to manage applicant data archiving by HRD staff more efficiently and effectively. Applicant data is stored in a MySQL database server, reducing dependence on physical filing cabinets. In addition, applicants can complete application forms and access company information and job descriptions more efficiently. This research focuses on designing an employee recruitment information system for PT. Parastar Group, using the waterfall model as a development methodology. This system is built using the PHP programming language. The result of this research is a functional web-based employee recruitment information system. This system is expected to assist the HRD division in processing data for employee archiving and orientation.

Digital Marketing, Social Media And Influencers On The Recognition of Airline Brands

In the digital era, digital marketing, social media, and influencers play a crucial role in introducing brands to public. Internet technology allows for fast and accurate information dissemination, making it an effective and efficient tool for increasing brand awareness. The rapid growth of internet and social media usage in Indonesia has created opportunities for companies to leverage these platforms. The company, a private aviation company, aims to maintain its position as the preferred choice for customers by enhancing brand awareness. By utilizing digital marketing, social media, and influencers with the right strategies, the company can enhance its brand awareness. The research aims to analyze the influence of digital marketing, social media, and influencers on brand awareness. The study used a Quantitative research method with data analysis technique using Structural Equation Modeling based on partial least squares, a statistical method that examine the complex relationships betweaen variables. The research shows that digital marketing, social media, and influencers have a significant and favorable impact on brand awareness. The study emphasizes the relevance of these digital tools in today's marketing landscape and gives practical information for companies to develop their strategies, ensuring the company's long-term success and market exposure.

Artificial intelligence and the quality of accounting information in Palestinian industrial companies

Purpose This study aims to identify the impact of adopting different techniques of artificial intelligence including (expert systems, machine learning, neural networks and algorithms) in improving the quality of accounting information characteristics such as; appropriateness, faithful representation and verifiability in Palestinian industrial enterprises. Design/methodology/approach Employees from 13 companies registered on the Palestine Stock Exchange for 2023 were selected. Moreover, the sample included 326 randomly chosen participants. A questionnaire was distributed to participants to collect data, and a descriptive-analytical approach was followed to achieve the study’s aim and examine its hypotheses. Findings The results showed that the use of artificial intelligence techniques (expert systems, machine learning, neural networks and algorithms) has a positive effect on improving the quality of accounting information characteristics (relevance, faithful representation and verifiability). Expert systems, neural network applications and algorithms contribute to developing solutions to various problems in industrial companies; discovering fraudulent practices in financial statements; and obtaining more accurate, faster and more reliable results. Machine learning also links the company’s systems together simultaneously and in an integrated and effective manner. Research limitations/implications The research relied on the industrial sector only because expanding society is difficult due to the general conditions in Palestine, and the results may vary between different sectors due to the nature of their work and activity. Practical implications Industrial companies’ efforts to benefit from artificial intelligence applications in their work increase the quality of accounting information, which in turn reflects the company’s real situation and helps in making the necessary decisions efficiently and effectively. Originality/value This study contributes to directing the attention of financiers and accountants working in Palestinian industrial companies to the importance of applying artificial intelligence techniques to ensure the highest quality characteristics of accounting information through the preparation of accounting programmes that rely on artificial intelligence to operate, thus achieving the maximum degree of advantage in compiling financial data from its sources, operation and conversion into useful financial information for its users.

Integrating Industrial Tourism into Active Industrial Companies: Advantages, Barriers, and Strategic Approaches using the Delphi Method

Objective: This article explores how to incorporate industrial tourism into active industrial companies, whose main focus is industrial production rather than tourism. In contrast to most of the research on industrial tourism, this article focuses on the point of view of active industrial companies, the so-called "living industry", to identify the impact of this product on industrial companies, as well as strategies and barriers to its implementation. Theoretical Framework: Industrial tourism includes visits to industrial sites that have ceased their operations, industrial companies currently in operation and future industrial establishments, as well as visits to other destinations with an industrial theme, such as industrial technology hubs, museums, industrial tourist routes, educational institutions with industrial programs, laboratories and similar sites. Method: The Delphi methodology was employed, involving 27 experts, both academics and practitioners, with different backgrounds, such as Anthropology, Tourism, Business Sciences, Marketing, Economics, International Public Relations, History, Museology, Cultural Heritage, Art and History. Results and Discussion: The results provide new knowledge on the advantages, weaknesses, strategies and barriers to implementing Industrial Tourism in active industrial companies, promoting the development of l business strategies and future studies on this subject. Implications of the Research: The research contributes to understanding the challenges to implementing this tourism product, offering a basis for analyzing and formulating successful business strategies. Originality/Value: The study proposes a practical approach to the applicability of industrial tourism to industrial companies, providing relevant information for industrial companies, government bodies and other stakeholders.

The impact of sustainable development on the relevance of accounting information and financial activities: Evidence from Thailand.

This study investigates the impact of sustainable development on the relevance of accounting information and financial activities of companies listed on the Stock Exchange of Thailand (SET). The results reveal that earnings per share and book value per share have a positive effect on market value, implying that higher earnings signal strong financial performance, thereby attracting more investor interest. Short-term and long-term debt financing have a negative effect on market value, suggesting that debt financing leads to increased financial risk. Current asset and fixed asset investments have a positive effect on market value by signaling confidence in operational performance. Dividend payouts have a positive effect on market value, demonstrating a commitment to returning value to investors, resulting in a stronger firm reputation and investor perception. However, firms that adhere to sustainable development guidelines face more complex dynamics. The results show that both earnings per share and book value per share have a negative effect on market value, suggesting that while they report high earnings per share and book value per share, these financial metrics cannot alleviate investor skepticism regarding sustainability as a cost of the firm. Short-term debt financing has a positive effect on market value because it provides a flexible and efficient way to fund sustainable investments without diluting equity or incurring long-term debt obligations, while the implications of long-term debt financing and current asset investments are insignificant. Furthermore, the significant positive effect of fixed asset investment underscores the potential long-term benefits of sustainability, despite high initial costs. Lastly, the non-significant negative impact of dividend payouts on market value suggests that the overall effect may also depend on various factors. These results support the idea of efficient market theory, which posits that investors may have negative reactions to what they perceive as financial burdens, diminishing the importance of positive financial metrics and altering market value. This study recommends that policymakers should carefully design regulations and incentives to support sustainable investments. Such approaches may include establishing specific funds, tax incentives, subsidies, and soft loans. Additionally, policymakers need to promote transparency and consistent reporting on the long-term financial benefits of sustainability, which can help reduce investor skepticism and foster a more positive market response. Finally, firms should clearly communicate their long-term sustainability efforts and benefits to investors and various stakeholders, leading to a positive interpretation of the firm's commitment to sustainable development.

Amplifying angels: Evidence from the INVEST program

This paper shows that angel investor grants encourage new investors to enter the risk finance market, where they syndicate investments with other investors. We argue that this results from the high cost of information acquisition for new investors. New investors bring additional capital into the market but provide little managerial support. However, as these investors join syndicates, ventures can raise larger financing amounts without compromising managerial support. Taken together, these factors positively affect the performance of entrepreneurial ventures. To test our hypotheses, we consider the case of Germany, where the federal government has introduced an investment grant for angel investors. Combining applicant data from the subsidy program with company and ownership information on the quasi-universe of German companies and a large-scale company-level panel survey covering over 900 angel-financed ventures to empirically assess our hypotheses provides strong support for our predictions.

Analysis of ESG Dimensions in Terms of Sustainable Competition in Companies: A Research on SMEs in Turkey

Objective: In this research, it was aimed to analyze ESG dimensions in terms of sustainable competition by using firm agility. Method: 524 SME managers selected by simple random sampling method were subjected to the survey. A survey form consisting of four stages: demographic information form, company information form, ESG scales and Company Agility Scale was used as a data collection tool in the research. Findings: There is a statistically significant and positive relationship between the governance dimension and flexible production and performance. There is a statistically significant and positive relationship between the social dimension and flexible production and performance. There is a statistically significant and positive relationship between the environmental dimension and flexible production and performance. The effects of flexible production and performance dimensions of firm agility on governance performance are statistically significant and positive. The effects of flexible production and performance dimensions of firm agility on social performance are statistically significant and positive. The effects of flexible production and performance dimensions of company agility on environmental performance are statistically significant and positive. Originality: The firm agility levels of companies, especially SMEs, and among the firm agility dimensions, the flexible production dimension is very important in terms of companies' competitive advantage and adaptation to the new and changing market structure. In this regard, companies having higher ESG values ​​may give them greater competitive advantage and power.

Cyber Hacking Breaches Detection Using Machine Learning

Cyber hacking breach prediction is one of the emerging technologies and detecting and predicting breaches through computer algorithms has become a very challenging task To make malware detection more effective, scalable and more efficient than traditional system calls human involvement Machine learning to be used for breach detection and prediction The main goal is a series of cyber hacking attacks each of which will harm the person’s information and financial reputation. Government and non-profit organizations’ data, such as user and company information,, can be compromised, posing a risk to their finances and reputation if they collect information from websites and social networks it can trigger a cyber attack. Organizations such as the healthcare sector are capable of holding sensitive information that must be handled discreetly and securely. Data breaches can lead to identity theft, fraud, and other losses. The findings show that 70% of breaches affect a wide range of organisations, including healthcare providers. The investigation indicates a possible data breach. Due to the heavy usage of computer programs and security on the host and network, there is a risk of data breach. Machine learning can be used to detect these attacks. Research uses machine learning models to protect against web security flaws. The data set is available from the Privacy Rights Clearing House. Teaching employees how to use modern security measures can reduce data breaches. This can help to understand attack detection and data security. Machine learning models such as Random Forest, Decision Tree, k-means and Multi- layer Perceptron are used to predict data violations

Consumer impulse buying in Hungary: A CB-SEM analysis of Hungarian consumer behaviour towards mobile short video applications based on a Chinese reference model

Mobile Short Video Applications are becoming increasingly popular worldwide. The appropriate content can shape, improve or change consumers' purchasing decisions. This paper examines the attitudinal differences in impulse buying related to the use and acceptance of MSAs by adapting a model already validated in China to Hungarian users. The analysis was conducted using Covariance-Based Structural Equation Modelling (CB-SEM). A structured questionnaire survey of 283 respondents in Hungary shows that the Chinese model cannot fully be applied to Hungary. A major difference between the results of the two models is that in the Hungarian model, perceived expertise shows a positive relationship with flow experience. This indicates that video makers - in the case of Hungarian videos - should produce content including introductory information and the operation of the product. The results suggest that in the case of MSA use in Hungary, perceived expertise affects impulse buying indirectly, but flow experience directly. Flow experience is only influenced by perceived expertise (β = 0.31, ρ < 0.05), with an explained variance of 10%. Flow experience (β = 0.46, ρ < 0.05) with its direct effect on impulse buying behaviour accounts for 21% of the variance. Hungarian and Chinese MSA users have different preferences in terms of content, thus the results provide important information for both international short video creators and companies entering the international market.

Analysis of the Application of Effective Communication Strategies in Marketing Public Relations at CV Inti Motor Solo

The development number of motorize vehicle users is increasing. This makes the automotive business have promising business prospects. The high level of business competition requires each company to create the best business strategy to win market competition. This research aims to determine the implementation of effective communication strategies in marketing public relations at CV. Inti Motor Solo. This research was conducted qualitatively descriptively and data was collected through observation and interview at CV. Inti Motor Solo. The results of the research indicate that marketing public relations activities at CV. Inti Motor Solo are still focused on activities to build consumer loyalty. Marketing Public relations activities carried out include the installation of company identity banners, information services, and consumer loyalty programs. Overall, marketing public relations activies at CV. Inti Motor Solo have implemented effective communication strategies well which include respect, emphaty, audible clarity, and humble.

Comparative study of password storing using hash function with MD5, SHA1, SHA2, and SHA3 algorithm

&lt;span&gt;The main purpose of passwords is to prevent unauthorized people from accessing the system. The rise in internet users has led to an increase in password hacking, which has resulted in a variety of problems. These issues include opponents stealing a company's or nation's private information and harming the economy or the organization's security. Password hacking is a common tool used by hackers for illegal purposes. Password security against hackers is essential. There are several ways to hack passwords, including traffic interception, social engineering, credential stuffing, and password spraying. In an attempt to prevent hacking, hashing algorithms are therefore mostly employed to hash passwords, making password cracking more difficult. In the suggested work, several hashing techniques, including message digest (MD5), secure hash algorithms (SHA1, SHA2, and SHA3) have been used. They have become vulnerable as a result of being used to store passwords. A rainbow table attack is conceivable. Passwords produced with different hash algorithms can have their hash values attacked with the help of the Hashcat program. It is proven that the SHA3 algorithm can help with more secure password storage when compared to other algorithms.&lt;/span&gt;

European Pharmaceutical Industry Medical Information: A Role to Play in the Provision of Medicine-Related Information to Patients.

European pharmaceutical companies have a professional and legal obligation to provide objective, factual and non-promotional medicine-related information to both healthcare professionals (HCPs) and patients on request and have establishedMedical Information services to fulfil this need. Also, medicines are supplied with a package leaflet for patients and/or users-this usually includes the contact details for the company's Medical Information service. There is a large scale of patient enquiry interactions across the European region. A survey conducted in 2021 by the Medical Information Leaders in Europe (MILE) association revealed that 21% of all enquiries managed by Medical Information services in 2020 were from non-HCPs. Eighteen companies collectively managed over 140,000 non-HCP enquiries-while supporting so many patients, this is also a potentially rich source of insights to real-life patient experiences. When interacting with patients, companies are cautious not to interfere with the relationship between the patient and their HCP. This can limit the information provided, with many being referred to their busy treating physicians. Unfortunately, this approach can fall short of patients' expectations or needs. MILE recognises the potential to be more helpful and companies are keen to evolve to deliver more patient-centric support. MILE member companies have collaborated in the collation and publication of best-practice principles for handling unsolicited requests for medicine-related information from patients, caregivers and members of the general public (MOPs). This will help improve accessibility to quality information support, harmonise the patients' experience and build confidence in the pharmaceutical industry services. MILE continues to invite stakeholders, including patient associations, HCPs, pharmaceutical companies, regulators and national industry associations to engage and help advance these core principles for handling patient enquiries. This publication does not constitute legal advice; decision making and accountability remains with each pharmaceutical company.