Decision-making Processes Of Companies Research Articles

The Use of Intelligent Decision Support System in Traveloka Company's Decision-Making Process

The aviation industry is currently experiencing rapid growth due to advancements in information technology, which have transformed the way consumers search for information and book tickets online. Traveloka, founded in March 2012, is one of the companies that has successfully leveraged this technology optimally. With intelligent algorithms, Traveloka can analyze user preferences and provide suitable recommendations, although the effectiveness of its intelligent support system needs further investigation to enhance user satisfaction and operational efficiency. This study aims to evaluate the effectiveness of Traveloka's intelligent support system in decision-making, using qualitative methods and a literature review approach. The development model proposed by Peter Fenrich is used to ensure that the system built can effectively and efficiently meet user needs. The research results show that Traveloka's intelligent support system is very helpful in providing accurate recommendations, increasing user satisfaction and operational efficiency, and providing a competitive advantage in the e-commerce market. Overall, the use of information technology and intelligent support systems at Traveloka significantly contributes to the advancement of the aviation industry, simplifies the ticket booking process, and enhances the company's competitiveness. Further research is needed to continue improving the effectiveness and efficiency of this system, thereby providing greater benefits for consumers and the company.

Pengaruh Good Corporate Governance terhadap nilai perusahaan pada perusahaan manufaktur sektor logam dan sejenisnya yang terdaftar di Bursa Efek Indonesia tahun 2017 – 2019

This study was conducted to test whether the disclosure of Corporate Social Responsibility (CSR) has an effect on firm value in metal sector companies and the like listed on the Indonesia Stock Exchange (IDX) in 2017-2019. From the results of this study it can be concluded that the variable Good Corporate Governance with the indicator of the Board of Directors has a significant effect on firm value by using Tobin's Q Ratio. This means that the company's board of directors has a considerable influence in the company's decision-making process to maximize firm value. Therefore, in order for decision making to be carried out accurately and quickly, the composition of the number of the board of directors must be considered.

Big data and human resource management: paving the way toward sustainability

PurposeThis paper aims to examine the influence of big data (BD) on human resource management (HRM). It defines how these data can be a useful tool in the decision-making process of companies’ human resources to obtain a sustainable competitive advantage.Design/methodology/approachThis paper emphasizes the need to develop a holistic approach to emphasize these relations. Starting from these observations, the document proposes empirical research employing Eurostat data to test the benefits of BD in HRM decisions that optimize the relationship between training, productivity, and well-being.FindingsThe findings estimate HRM decisions and their impact in a broader macroeconomic and microeconomic perspective.Originality/valueBD research is emerging as a crucial discipline in human resources. To overcome this problem, the paper develops an analysis of the literature on cleaner production and sustainability context; it creates a conceptual framework to clarify whether the existing studies consider the growing intensity of BD on human resources.

Review Determinasi Sistem Informasi Manajemen: Database, Komputer dan Software

Management information systems have a close relationship with various components in the process of creating information systems that meet their needs. The proper implementation of these components is crucial because inaccurate, insufficiently detailed, untimely, and irrelevant information can lead to errors in the company's decision-making process. Therefore, a deep understanding of the components and management information systems, especially in terms of Databases, computers, and Software , is essential in order to generate valuable, effective, and high-quality information for the company. The purpose of this article is to develop hypotheses regarding the interplay between variables that can be used in further research. The findings of this study are as follows: 1) Databases have an influence on Management Information Systems; 2) Computers have an influence on Management Information Systems; and 3) Software has an influence on Management Information Systems.

Measuring the Added Value of Competitive Intelligence in Business

Abstract The very purpose of the research is to measure the applicability and effectiveness of the Competitive Intelligence (CI) concept in the business environment. We are analyzing the concept as a general and we are looking at the business environment to see whether the CI techniques do or do not have an impact in the strategies and success of the companies. In most companies and, according to the main interest of this research, in corporations, it is desired that each existing or newly created division has a measurable dimension of efficiency and impact in the business. Both, the employees from the respective divisions and the division, as a whole, are periodically evaluated by measuring the performance objectives set at the beginning of a year; objectives that can be quantitative, through the effective calculation of the amounts attracted in the company, especially when we talk about sales teams, as well as qualitative ones, where the impact that employees have on the team’s working climate, the reduction of reputational risk and others are subject to analysis. From the recent analysis of the relevant bibliography, for competitive intelligence, a model for measuring efficiency in multinational companies has not yet been developed. Although CI is intended to identify opportunities and threats in the business environment to support the decision-making process in companies, most of them do not periodically and systematically measure its value. Since the management of corporate-type companies requires standardized measurements, aligned with the organizational culture, the CI products do not bring these figures with rigor, so supporting the CI functions, the growth of these departments and the related budgets is difficult.

A CASE STUDY OF THE DECISION-MAKING BEHIND THE AUTOMATION OF A COMPOSITES-BASED DESIGN PROCESS

AbstractAutomation and artificial intelligence (AI) are increasingly seen as appealing tools to perform design tasks traditionally accomplished by human designers. In today's digital economy, industries aim to adopt these tools to improve the efficiency of their complex design processes. But how does one decide what parts of their existing design process should be automated and which automation/AI tool to implement? With these questions in mind, we present a case study highlighting a company's decision-making process in converting its existing designer-dependent design process to one supported by automation. In this case study, we observed the company's decisions in selecting and rejecting certain automation and AI methods before finalizing a heuristics-based automation method that proved highly efficient compared to the company's traditional human-driven design program. In addition, we present three key discussion points observed in this case study: (1) the importance of implementing the designer's heuristics in the automation framework, (2) the importance of a uniform and modular design automation framework, and (3) the challenges of implementing AI methods.

Decision support framework for inventory management combining fuzzy multicriteria methods, genetic algorithm, and artificial neural network

Decision support tools, within the Industry 4.0 perspective, have increasingly impacted different operations and supply chain management (OSCM) areas, such as inventory management. Within the digital transformation era, multicriteria decision-making (MCDM) and machine learning (ML) can be used to improve inventory management decisions. Despite their importance, the literature lacks empirical studies involving advanced solutions that combine both approaches to support practitioners in real-life settings. This is especially relevant for maintenance, repair, and operation (MRO) inventories, which usually present several SKUs with irregular demand patterns and difficult forecasting. Therefore, this study proposes a decision support framework for inventory management, combining MCDM and ML approaches, and applies it to a railway logistics operator to assist its MRO inventory management decision-making process. The first stage of the framework consists of applying a hybrid MCDM method that combines fuzzy logic with the analytic hierarchy process (AHP) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methods to rank and select SKUs according to importance and criticality. Once the most critical SKUs are revealed, a second stage of the framework is introduced to forecast the demand for these SKUs through an ML model, which combines a genetic algorithm and an artificial neural network (GA-ANN). Research findings point to a considerable improvement in the accuracy of the demand forecast for SKUs compared to the previous forecast by the company, and the forecasting methods support vector machine (SVM) and exponential smoothing. The results of the combined approaches are consolidated into a management dashboard, which improves the agility and quality of the analyzed company's decision-making process in inventory management. Therefore, practitioners can also take stock of the proposed framework as a semi-automatic management artefact to enhance decision-making from a digital transformation view in a vital area of OSCM.

Sustainability reporting nexus to corporate governance in scholarly literature

Sustainability reporting has become a practice of the majority and is decided by boards of directors as the supreme governing body in the decision-making process of companies. The paper provides a high-view picture and visualizes research to portray the historical shifts in sustainability reporting nexus to corporate governance through an analysis utilizing CiteSpace software on 935 articles published in Web of Science Core Collection from 2009 to 2021.The number of papers in the area has expanded, especially since 2013 (a branching point), while the study determines a type of bifurcation spot (the year 2017) that evinces the SR-CG field maturity. The study determined the dominant countries through affiliated to them researchers (the United Kingdom, Spain, Italy, China and Australia), the most esteemed journals (Journal of Business Ethics, Business Strategy and the Environment and Accounting, Auditing & Accountability Journal), and the major co-occurrence of hot keywords (carbon disclosure project, environmental disclosure quality, integrated reporting, financial performance, foreign director, environmental reporting, public sector, sustainability assurance statement). The paper identifies principal issues where SR-CG research lags (dearth of those research in developing economies and geographical limitation of research) and unravels uncharted so far domains (jurisdictions-related studies) in the realm. Future research in the realm is likely to focus on ESG, disclosures and governance performance, as well as on specific areas (geography, industry, etc.), and will explore in depth the role of multiple factors together. This papers indicate the growing convergence between SR and CG in literature, and given predominance of ‘SR as a function of CG’ approach a more stalwart and sound CG framework could bring about more tenable SR practices. The paper puts forward an agenda for advancing forthcoming research in the realm of SR-CG interdependence. AcknowledgmentThis paper is co-funded by European Union through the European Education and Culture Executive Agency (EACEA) within the project “EU BEST PRACTICE OF LIFE CYCLE ASSESSMENT, SOCIAL, ENVIRONMENTAL ACCOUNTING AND SUSTAINABILITY REPORTING” 101047667 — EULASTING — ERASMUS-JMO-2021-HEI-TCH-RSCH https://bit.ly/3Bbvquw

PENGARUH KEPEMIMPINAN TERHADAP KINERJA KARYAWAN UD TIGA PUTRA DI KABUPATEN BULUKUMBA

This study aims to test whether the variables have an effect on employee performance at UD Tiga Putra. The population in this study is a total of 32 employees of UD Tiga Putra, while the sample in this study using the saturated sample technique will be found 32 people. The data collection technique used is a questionnaire. The data collected is then entered into a simple linear regression equation. The findings in this study indicate that partially the leadership variable has a positive and significant effect on employee performance at UD Tiga Putra in Bulukumba Regency. Hence, every time there is an increase in leadership it will improve employee performance and vice versa. So that the hypothesis in this study is accepted. Based on the results of the study, it can be said that companies need to maintain a leadership strategy by receiving good suggestions, paying attention to employees and not only the company and employee involvement in the company's decision-making process as a step in improving employee performance. In addition, UD Tiga Putra needs to improve on leadership in making decisions that must be carried out absolutely by employees, because this will have an impact on suppressing employees which will make the employee's performance decrease.

Radiographic Imaging as a Quality Index Proxy for Brachiaria brizantha Seeds.

Efficient methodologies for automated seed quality evaluations are important for the seed industry. Advanced seed technology research requires the use of adequate methods to ensure good seed performance under adverse environmental conditions; thus, providing producers with detailed, quick, and accurate information on structural seed integrity and ensuring vigorous production. To address this problem, this study aimed to determine Brachiaria brizantha (Marandu cv., Piatã cv. and Xaraés cv.) seed quality through radiographic imaging analyses associated with vigor tests and anatomical characterizations. Brachiaria seed cultivars displaying different physical and physiological attributes were selected and subjected to the 1000-seed weight test, water content determinations, X-ray analyses, germination tests, and anatomical characterizations. The X-ray analyses made it possible to establish a relationship between the X-ray images and other determined variables. Furthermore, the X-ray images can indicate evidence of internal and external damage that could later compromise germination. The Marandu and Piatã cultivars presented the highest germination percentages, germination speed indices, normal seedling development, and cellular structure preservation compared to the Xaraés cultivar. To summarize, X-ray analyses are efficient methods used for the selection of higher physical quality cultivars and can aid in the decision-making processes of companies and seed producers worldwide.

Artificial Intelligence-Based Methods for Business Processes: A Systematic Literature Review

Companies are usually overloaded with data that they may not know how to take advantage of. On the other hand, artificial intelligence (AI) techniques are known to “keep learning” as the data increase. In this context, our research question emerges: what AI-based methods, in the literature, could be used to automatize business processes and support the decision-making processes of companies? To fill this gap, in this paper, we performed a review of the literature to identify these techniques. We ensured the usage of methods since they allowed reproducibility and extensions. We applied our search string in the Scopus and Web of Science databases and discovered 21 relevant papers pertaining to our question. In these papers, we identified methods that automated tasks and helped analysts make assertive decisions when designing, extending, or reengineering business processes. The authors applied diverse AI techniques, such as K-means, Bayesian networks, and swarm intelligence. Our analysis provides statistics about the techniques and problems being tackled and point to possible future directions.

Code of ethics and conduct in the light of corporate governance: the stakeholders' perspective

Purpose: To evaluate the theme "Code of Ethics and Conduct" in private or public organizations, considering the relationship between ethical issues and good practices in Corporate Governance, measures that subsidize the planning and strengthening of ethical cultures in the interpersonal context.Design / methodology / approach: The descriptive survey relied on the application of questionnaires and obtained 184 responses from organizations of various types. The study was carried out using codes of conduct made available by companies on their websites, characterized as primary sources. The data collected were worked in the SPSS, tabulated and presented as results in the form of tables or graphs, with appropriate analyses.Findings: The results show the adoption of good practices of integrity, especially on the Code of Ethics and Conduct. The adoption of an ethical code can be considered a way to formalize, encourage and guide responsible behavior among employees and organizations. Seen from the outside, it contributes to creating and maintaining a good corporate reputation and stakeholder trust. In this sense, the reasons behind the creation of a code have been stated in the Shareholders' Theory, the Legitimacy Theory and the Stakeholder Theory.Originality / value: The Code of Ethics and Conduct arises as an instrument to guide ethical behavior in organizations. Therefore, it is the declaration of the set of rights, duties, business conduct towards stakeholders, reflecting the culture and set of norms that enrich the company's decision-making processes and guide its behavior.

COMPETING MARKET LEADER IN INDONESIA’S CONSTRUCTION INDUSTRY

The growth of the construction industry in Indonesia is constantly bearing straight to its economic growth and contributes by more than 10% to the country's gross domestic product in the period 2015-2020. The construction market share in Indonesia is dominated by large contractors who control 85% of the total projects even though they are only 0.96% of the total population, while the smaller contractors only control the remaining 15%. Smaller companies only select a project based on their experience and colleagues’ recommendations. It is getting worse because the decision-makers never consider any method to assist the decision-making process as they do not have sufficient knowledge, then they should face some losses which cost big amounts of money compared to their companies’ size The use of AHP on this research will help the smaller contractors to take better decision making yet minimizing their chance of failure and risk. The objectives of this research are to determine the factors that significantly influence project selection in the construction industry and to provide recommendations of the project selection for the construction industry. This research aims to support the smaller contractors to utilize their chance in project selection in order to compete with the big companies. The research will use focus group discussion between the directors of several construction companies as they have full responsibility in the company's decision-making process and are used to going straight to the field while also doing the bidding.

Knowledge management strategies in companies: Trends and the impact of Industry 4.0

The existing business models essential for the creation of consumer value and, consequently, business competitiveness are now undergoing a transformation. Brand-new technological developments based on network integration, intelligent technology and flexible automation are becoming increasingly relevant: additional competitive opportunities appear, and knowledge management and intellectual capital management are becoming key business processes. When developing a strategic vision, it is important for companies to pick the relevant data out of the information flow about the external and internal environment and convert it into organizational knowledge, which is a core management resource. The paper analyses the experience of Russian and foreign companies in the introduction of scalable models focused on the widespread use of Industry 4.0 and establishes the principles and strategies of knowledge management that allow these companies to maintain their competitive positions in a strategic perspective. The theory of knowledge management and resource approach constitute the methodological framework of the present study. The general scientific methods of logical-structural analysis and systematization, as well as the contingency case study method were applied. The information base encompasses the case studies of six companies, retrieved from publicly available sources. The findings of the empirical research prove the feasibility of applying a situational approach to knowledge management: companies use different strategies for accumulating and sharing knowledge according to their maturity level and the area of implementation of Industry 4.0. Based on the results obtained, the authors develop a situational approach to the strategic knowledge management of companies that successfully apply the technologies of the Fourth Industrial Revolution. The theoretical and practical significance of the study lies in identifying common approaches to knowledge management under various conditions, which can be used to create the strategic vision of managers involved in the key decision-making process in companies.

A Comparison of R&D Tax Incentives in Turkey

Tax incentives play a crucial role in the decision-making process of companies and individuals engaged in R&D. To stimulate R&D investment in Turkey, the government has introduced several pieces of incentive legislation, mostly tax allowance and exemption schemes, each taking a different approach. This article focusses on three major incentives, namely Law No. 4691 on the Technology Development Zones Incentive, Law No. 5746 on Promoting Research, Development and Design Activities and article 5(B) of the Corporate Income Tax Law.

Percepções de estudantes e egressos do ensino médio sobre o curso de Ciências Contábeis: uma análise sob a ótica dos estereótipos da profissão

Este estudo teve o objetivo de conhecer e analisar as percepções de estudantes e egressos do Ensino Médio com relação à Graduação em Ciências Contábeis sob a ótica de estereótipos associados à profissão. O estudo ocorreu mediante a aplicação de questionários aos indivíduos componentes da amostra, presentes no evento Mostra de Profissões/Mostra Sua UFMG, promovido pela Universidade Federal de Minas Gerais (UFMG), e em um cursinho preparatório de vestibular localizado no Município de Lagoa Santa, região metropolitana de Belo Horizonte, Minas Gerais. Além disso, o questionário também foi disponibilizado on-line na plataforma do Google Drive. A partir da análise dos dados, realizada por meio da construção de tabelas e análises de frequência, constatou-se um desconhecimento dos respondentes sobre vários aspectos inerentes ao Curso e à profissão contábil. No que diz respeito aos estereótipos apontados na literatura, este trabalho não encontrou outro senão aquele que relaciona a Contabilidade à Ciência Exata, e uma parcela considerável dos indivíduos ainda vincula a principal tarefa do Contador ao cálculo do imposto de renda. Ressalta-se, desse modo, a necessidade de as escolas que possuem o Ensino Médio fornecerem informações adequadas a respeito das carreiras pretendidas pelos alunos, bem como estimularem a participação destes em eventos como a Mostra de Profissões realizada pela UFMG.

Using the experiential approach in marketing and management: A systematic literature review

The experiential perspective has become the primary lens adopted in the current economic and managerial literature. In recent years, the marketing literature has recognized the importance of the contributions of consultancy work on the Experience Economy, Experiential Marketing, and Customer Experience Management.This work defines the experiential approach as the managerial tool that puts the customer experience (CE) at the center of a company's decision-making processes. It also recognizes that experiential management studies constitute a rich and important research field, but one that has not yet been clearly defined or characterized.Moreover, this paper describes the evolution of the state of the art of the experiential approach and outlines possible future developments.To this end, a systematic review of the literature is offered in order to make the review process both transparent and reproducible. It is built on the articles published in the SciVerse Scopus database up until December 2018. To answer the research questions, a bibliometric analysis of the citations in the database itself is conducted and an inductive content analysis undertaken, by studying the database in the keywords sections through T-Lab software. Using keywords to identify the subject of published articles, a content analysis (co-word analysis) serves to determine the main experiential approach adopted as well as the principal sectors (e.g. food, tourism, events, etc.) in which the various experiential approaches have been applied.This study is a first attempt at quantitative measurement of the diffusion of experiential marketing and management concepts in academic literature. While acknowledging the need for further qualitative studies, the analysis provides insight on the main experiential approaches adopted and points to the need for a theoretical framework able to coherently synthesize them.

Características organizacionais e a utilização da gestão de custos no processo decisório

O objetivo do estudo é verificar os fatores determinantes das práticas de gestão de custos utilizadas no processo decisório de empresas da região Oeste catarinense. O levantamento de dados foi elaborado a partir da aplicação de questionário respondido por gestores de 41 empresas de distintas atividades. A pesquisa descritiva utilizou abordagem quantitativa com o uso dos testes qui-quadrado e Kruskal-Wallis. Os resultados indicaram que o método de custeio variável é o mais utilizado pelas empresas da amostra. O ramo de atividade, forma de tributação e faturamento anual mostraram-se fatores decisivos para a utilização das ferramentas de custos de produção e orçamento. O ramo de atividade mostrou-se um fator decisivo na utilização das informações de custos para formação do preço de venda e na negociação com fornecedores e clientes. O tempo de atividade apontou diferenças sobre a utilização das informações de custos para formação do preço de venda e controle dos gastos. A forma de tributação e o número de funcionários mostraram-se decisivos para a utilização das informações de custos que atendam à legislação fiscal e também na identificação de possíveis gargalos no processo produtivo e nos preços praticados.

Quality Decision Making in Health Technology Assessment: Issues Facing Companies and Agencies

To evaluate the quality of the decision-making processes of pharmaceutical companies during medicines development for evidence generation to support reimbursement of new medicines and the appraisal recommendation decision-making process by health technology assessment (HTA) agencies. Two questionnaires were developed and subsequently piloted for the purpose of content validation. These were sent to 24 pharmaceutical companies and 16 HTA agencies. Responses were obtained from 11 companies and 11 HTA agencies. Some similarities were identified between the decision-making processes of companies and agencies, such as the use of committees, having a primarily mixed (qualitative/quantitative) internal decision-making system, as well as the lack of systematic assessments of quality decision making and the relatively infrequent use of formal decision-making frameworks. Nevertheless, the results indicate differences as companies and agencies use diverse processes to arrive at the final decision either through consensus, majority vote, or an individual making the decision. The majority of companies and agencies believe that the quality of decision making can and should be measured. Moreover, organizations considered the occurrence of biases within their organization as pertinent. Finally, almost all the participants felt that there was room for improvement for their organization's quality of decision making. These findings are consistent with a published study on regulatory processes and support the need for more consistent and predictable decision-making processes during the life cycle of medicines. This could be achieved through capacity building, systematically evaluating the quality of decision making, and encouraging utilization of formal decision-making frameworks within companies and agencies.

Ecological Innovation Decision Behavior of Enterprises in the Strategic Emerging Industrial Clusters Based on Cognitive Neuroscience

For the decision makers of eco-innovation in the strategic emerging industrial clusters, the behavioral preference function is formed during their previous cognitive practice and learning process. The processes of Learning and memory can shape the structure and function of the brain. Meanwhile, the specific structure and function of the brain also affects and optimizes the learning behavior and cognitive process. Therefore, it is of great significance to grasp and explain the decision-making behavior of the enterprise's eco-innovation in the strategic emerging industrial clusters from the perspective of neuroscience. Firstly, we analyzed the influence of the mental model of the entrepreneurs in the strategic emerging industrial clusters on the choice of decision-making mode for company's eco-innovation. Secondly, we analyzed the process of decision of company's eco-innovation in the strategic emerging industrial clusters based on the mental model, and established an benefit model of eco-technology R&D, and analyzed the eco-innovation decision-making process of companies in the strategic emerging industrial clusters by simulation. The result shows that companies in the strategic emerging industrial clusters will decide whether to adopt eco-innovation behaviors according to their own mental model. At the same time, the knowledge accumulation obtained by the enterprises in the strategic emerging industrial clusters is inversely related to the average path length of the cluster eco-innovation network and is positively related to knowledge spillover benefits under the influence of the entrepreneurs’ mental model. The R&D revenue obtained by enterprises is inversely related to the average path length of the cluster eco-innovation network and is positively related to the average degree and aggregation coefficient of the cluster eco-innovation network.