scholarly journals Big Data: A management tool for Financial growth of Enterprises in the Industrial sector

2021 ◽  
Vol 25 (110) ◽  
pp. 217-227
Author(s):  
Lizeth Delgado ◽  
Maritza Loor ◽  
Francisco Caicedo
Keyword(s):  
Big Data ◽  
Measurement Instrument ◽  
Industrial Sector ◽  
Financial Behavior ◽  
Management Tool ◽  
Underdeveloped Countries ◽  
Industrial Companies ◽  
Application Rates ◽  
Financial Growth ◽  
Technological Tool

Big Data has become a worldwide trend. However, in underdeveloped countries this technological tool has low application rates, the main reason being the lack of knowledge of its use or the lack of resources for its implementation. The objective of this research is to know the financial behavior generated by the application of Big Data in Ecuadorian industrial companies. The methodology applied relied on the quantitative approach to analyze the profitability indicatorand a survey for managers following Cronbach and Spearman’s coefficients to ensure the reliability of the applied instrument. In conclusion, it was determined that the technological tool serves as a measurement instrument, so that managers can make timely decisions, allowing the company to be at the forefront of the market and contribute to the development of the country. Keywords: Big Data, Financial profitability, Decision-making, Industrial sector. References [1]J. Salazar, «"Infraestructura para Big Data",» Rev. Digital Universitaria, vol. 17, nº 11, pp. 1-15, 2016. [2]M. Chema, «BIG DATA Aquí y ahora 2015. Situación mundial y foco en el mercado de Colombia,» OBS Business School, España, 2015. [3]C. B. Ynzunza, J. M. Izar, J. G. Bocarando, F. Aguilar y M. Larios, «"El Entorno de la Industrial 4.0: Implicaciones y Perspectivas Futuras",» Rev. ConcienciaTecnológica, nº 54, pp. 33-45, 02 12 2017. [4]M. Escobar y M. Mercado, «"Big Data: Un análisis de uso y aplicación en el contexto de la era digital",» Rev. La Propiedad Inmaterial, nº 28, pp. 273-293, 2017. [5]E. Hernández , N. Duque y J. Moreno, «"Big Data: una explotación de investigación, tecnologías y casos de aplicación.",» Rev. TecnoLógicas, vol. 20, nº 39,2017. [6]C. Cedeño y J. J. Coba, «"Análisis de la incidencia del manejo de la información corporativa (Big Data) en la productividad de las empresas del sector servicios de la cuidad de Guayaquil",» Guayaquil, 2020. [7]R. Gonsalez , «"Impacto de la data warehouse e inteligencia de negocios en el desempeño de las empresas: investigación empírica en Perú, como pais en vías de desarrollo" (Tesis Doctoral ),» 2012. [8]M. Garvich, «"Propuesta de análisis de datos no es tructurados para generar decisiones oportunas en la empresa FMD",» Lima, 2017. [9]F. Malvicino y G. Yoguel, "Big Data: Avances recientes a nivel internacional y perspectivas para el desarrollo local", Buenos Aires: CIECTI, 2018. [10]S. A. Gaviria, C. A. Varela y L. J. Yánez, «"Indicadores de rentabilidad su aplicación en las decisiones de agrupamiento empresarial",» Rev. Universidad de Antoquia , vol. 4, nº 1, p. 27, 2010. [11]A. E. Manzo, «"Crecimiento y desarrollo económico de la ciudad de Babahoyo 2007-2012",» Guayaquil, 2014. [12]Superintendencia de Compañias, «appscvs.supercias.gob.ec,» 31 12 20. [Online]. Available: https://appscvs.supercias.gob.ec/rankingCias/. [Last access: 2021 03 06]. [13]H. A. Hernández y A. E. Pascual, «Validación de un instrumento de investigación para el diseño de una metodología de autoevaluación del sistema de gestión ambiental,» Rev. Investigación Agraría y Ambiental, vol. 9, nº 1, pp. 157-164, 2018. [14]L. Restrepo y J. González, «De Pearson a Speraman, » Rev. Colombiana de Ciencias Pecuarias, vol. 20, nº 2, pp. 183-192, 2007. [15]M. Escobar y M. Margareth, «"BIB DATA: Un análisis documental de su uso y aplicación en el contexto de la era digital",» Rev. La Propiedad Inmaterial, nº 28, pp. 273-293, 2019. [16]D. López, «"Análisis de las posibilidades de uso de Big Data en las organizaciones" trabajo fin de Máster,» Madrid, 2013. [17]J. Figueres, «"Big Data, ampliación cognitiva, procesos de autoorganización y desarrollo económico" Doctorando,» Madrir, 2017. [18]J. Salazar, «"Infraestructura para Big Data",» Rev. Digital Universitaria, vol. 17, nº 11, 2016. [19]F. Munafo, «"La importancia de la gestión de datos y su imptaco en en el riesgo de crédito de Instituciones Financieras",» Rev. de Investigación en Modelos Financieros, vol. 2, pp. 25-39, 2019.

scholarly journals FATORES INFLUENCIADORES DA ADOÇÃO DE UM MÉTODO DE COSTING NA PERSPECTIVA DE PROFISSIONAIS EM CONTABILIDADE COM ATUAÇÃO NO SETOR INDUSTRIAL

2016 ◽  
Vol 15 (3) ◽  
pp. 1169
Author(s):  
Wenyka Preston Leite Batista da Costa ◽  
Jandeson Dantas da Silva ◽  
Rodrigo José Guerra Leone ◽  
Maria Naiula Monteiro Pessoa ◽  
Sergio Luiz Pedrosa Silva
Keyword(s):  
Decision Making ◽  
Detailed Analysis ◽  
Industrial Sector ◽  
Management Information ◽  
Industrial Companies ◽  
Factors Influencing ◽  
Professional Perspective ◽  
The Many ◽  
Disclosure Of Results ◽  
Quantitative Nature

<p>Os métodos de custeio são responsáveis por definir a forma pela qual os custos são apropriados aos seus portadores finais e possuem forte relevância na obtenção das informações gerenciais necessárias para os aspectos decisórios, na mensuração de estoques e na evidenciação dos resultados. Dessa forma, o período de adoção de um método de custeio é uma fase à qual uma entidade deve realizar análise detalhada dos objetivos pertinentes, buscando atender às necessidades dos diversos setores de forma eficiente e eficaz. Nesse sentido, o objetivo com esta pesquisa foi identificar os fatores que influenciam a adoção de um método de custeio nas empresas do setor industrial. A pesquisa possui natureza descritiva e quantitativa; a coleta de dados ocorreu por meio de um questionário eletrônico aplicado a 175 profissionais de contabilidade atuantes no setor industrial. Os resultados mostram que os fatores influenciadores da adoção de um método de custeio, em ordem de influência; são competitividade, gerenciamento, controle, legalidade, planejamento, apropriação, supervisão, comparabilidade, confiabilidade e precisão.</p><p>Palavras-chave: Método de custeio. Contabilidade de custos. Adoção de um método.</p><p> </p><p align="center"><strong><em>Factors influencing the adoption of a cost method in professional perspective in accounting with operations in the industrial sector</em></strong></p><p align="center"><em>Abstract</em></p><p>  <strong></strong></p><p><em>The costing methods are responsible for defining the way in which the costs are appropriate to their final carriers and have strong relevance in obtaining the management information necessary for decision-making aspects, in the measurement of inventories and in the disclosure of results. In this way, the period of adoption of a costing method is a stage at which an entity should perform detailed analysis of the relevant objectives, seeking to meet the needs of the many sectors efficiently and effectively. Accordingly, the objective with this research was to identify the factors influencing the adoption of a costing method in industrial companies. The research has descriptive and quantitative nature, the data was collected through an electronic questionnaire applied to 175 accounting professionals working in the industrial sector. The results show that the factors influencing the adoption of a costing method, in order of influence, are competitiveness, management, governance, legality, planning, ownership, supervision, comparability, reliability and accuracy.</em></p><p><em>Keywords: Costing method. Costing accounting. </em><em>Adoption of a method.</em></p>

Lessons learned from quality management system ISO 9001:2015 certification: practices and barrier identification from Brazilian industrial companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luís César Ferreira Motta Barbosa ◽  
Otávio José de Oliveira ◽  
Marcio Cardoso Machado ◽  
Ana Clara Tomaz Morais ◽  
Patrícia Maria Bozola ◽  
...  
Keyword(s):  
Quality Management ◽  
Management System ◽  
Production Efficiency ◽  
Quality Management System ◽  
Industrial Sector ◽  
Lessons Learned ◽  
Iso 9001 ◽  
Content Type ◽  
Previous Version ◽  
Industrial Companies

PurposeThis study used a qualitative approach on five case studies in Brazilian industrial companies. The research used interviews, document analysis and on-site visits to collect and analyze data. The companies were selected based on the following criteria: operating in the industrial sector, updating their quality management system (QMS) process to ISO 9001: 2015 and agreeing to participate in this study.Design/methodology/approachThis article aims to investigate the strategies of industrial companies adopted for ISO-9001:2015 certification in light of the six major advances concerning the previous version. Thus, QMS of other organizations can incorporate identified lessons learned, whether certified or not.FindingsThe main finding of the research is the systematization of a set of lessons learned in the experiences of implementing the six significant advances of ISO 9001 concerning the previous version by industrial companies in the State of São Paulo in Brazil. These lessons can and should be used by other organizations to improve their QMSs.Practical implicationsThe practices identified in this empirical research can serve as benchmarking to assist quality managers from other companies in QMS certification based on ISO 9001: 2015 or even those not certified but interested in updating their QMSs. Therefore, lessons learned can significantly minimize efforts to improve your projects, processes, products and services. These findings can also help industrial companies improve their production efficiency and effectiveness through quality improvement.Originality/valueThe main novelty of the research is the consolidation of theoretical and practical analysis of the main changes in the latest version of the ISO 9001 standards. The efforts to fulfill those changes result in lessons learned. The “lessons learned” will form a new block of knowledge that will subsidize theoretical (new research) and practical (formulation of a new ISO 9001 standard and helps quality managers improve their systems).

Adapting Altman's model to predict the performance of the Palestinian industrial sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bahaa Awwad ◽  
Bahaa Razia
Keyword(s):  
Stock Exchange ◽  
Statistical Significance ◽  
Multiple Linear Regression Model ◽  
Industrial Sector ◽  
Main Hypothesis ◽  
Content Type ◽  
Independent Variables ◽  
Industrial Companies ◽  
And Performance ◽  
The Relationship

PurposeThis study aims to adopt the Altman model in order to predict the performance of industrial companies listed on the Palestinian Stock Exchange during the period of time between 2013 and 2017.Design/methodology/approachThe study sample consisted of 12 industrial companies listed on the Palestine Stock Exchange, and their financial disclosure period extended for 5 years. Multiple linear regression model was used in the analysis to determine the relationship between the independent variables and the dependent variable where the independent variables were (X1, X2, X3). This study is based on one basic assumption, which is that the Altman's model cannot predict the performance of the Palestinian industrial sector.FindingsThe results of the analysis proved the negation of the zero main hypothesis. This means that Altman's model can predict the performance of the Palestinian industrial sector at the level of statistical significance (a = 0.05), as well as the existence of a statistically significant relationship between each of the independent variables (X2, X4, X5) and the dependent variable (Log (Z-score)). Hence, the relationship of X1 and X3 with the dependent variable was not statistically significant.Social implicationsThis paper highlights different challenges that face the adaption of Atman's model and performance prediction in the Palestinian industrial sector. The findings of the analysis have the potential to help future researchers in examining and dealing with new challenges.Originality/valueThis paper presents a vital review of adopting Altman's model in the Palestinian industrial sector. A number of recommendations have been made, the most important of which is that most of the companies are located in the red zone. The Altman's model must be adapted in order to fit the Palestinian environment according to the results of statistical analysis and according to a proposed model, which is Log (Z) = −0.653 + 0.72X2 + 0.18X4 + 0.585X5.

scholarly journals China’s E-Economy: An overview of Opportunities and Threats

2019 ◽  
Vol 5 (2) ◽  
pp. 74
Author(s):  
Qiao Yao
Keyword(s):  
Big Data ◽  
Capital Investment ◽  
Digital Age ◽  
Autonomous Driving ◽  
Industrial Sector ◽  
Venture Capital Investment ◽  
Economic Threat ◽  
The World ◽  
The Usa ◽  
The Impact

China is the world biggest country in terms of population. It has the highest number of internet and mobile users. The world most substantial labor forces reside in China. A large proportion of the world is dependent on its exports. Chinas economy grew, in the last decade because of its exports, it got attention all over the world. Economy experts consider China as an economic threat to the USA. However, more studies are mainly focused on China populations, Exports, and labor focus because of the high quantity. The dynamics of the economy has changed in the last decade because of internet penetration across the globe. The Chinas role in digital aspects is least studied. Therefore this paper has focused on providing an overview of E-economy of China. Through literature and world-leading financial and consultancy firms reports it has been observed that just like other aspects of the economy, the e-economy of China is also growing. Today in 2019 where more than 50% of the world has access to the internet, It is considered that the Silicon Valley of USA is deriving the digital age because all big tech companies are located in the USA. USA main exports are Internet-related or Tech products. It is a fact that the USA E-economy contributes more to GDP compared to China. However, China has a potentially bright future in this area and can be the leading country in technology. Exploring the future possibilities, the opportunities which China has to grow in the digital age, the researchers found already there are areas in digital aspects where China has to outnumber the USA. For instance, the Fintech China got more Capital venture investments in 2016 compared to the USA. China is the world second country after the USA in attracting venture capital investment for Virtual Reality, Autonomous Driving, Wearables technologies, Education Technology, Robotics and drones, and 3D Printing. China is in the third position in terms of attracting investment for big data and artificial intelligence. The study concludes that China needs to focus more on big data and AI to continue its growth.  The growing digitalization can improve agriculture and industrial activities as the economy is maturing. The paper is useful for digital experts to view the understand the e-economy in depth, future researchers can narrow down the topic to observe the impact of E-economy on agriculture and industrial sector.

Helping Undergraduates Discover The Value Of A Dollar Through Self-Monitoring

2010 ◽  
Vol 3 (7) ◽  
pp. 103-108
Author(s):  
Lance Palmer ◽  
Donna L. Bliss ◽  
Joseph W. Goetz ◽  
Diann Moorman
Keyword(s):  
Financial Management ◽  
Personal Values ◽  
Significant Proportion ◽  
Financial Behavior ◽  
Management Tool ◽  
Self Monitoring ◽  
Knowledge And Skills ◽  
Self Reflection ◽  
Spending Patterns ◽  
Spending Behavior

Many college undergraduates lack basic financial management knowledge and skills while bearing ever increasing debt burdens upon graduation. In order to encourage students to become aware of their spending patterns and weigh those patterns against personal values, a self-monitoring project was implemented as a class activity. The resulting effect on financial behavior was examined. Analysis of participants’ self-reflection papers revealed that awareness of spending behaviors increased universally among participants, and a significant proportion of students spontaneously modified spending behaviors to more closely conform to personal values. Participants consistently reported the importance of a spending management tool in modifying spending behavior.

Developing a knowledge management strategy for data analytics and intellectual capital

2018 ◽  
Vol 26 (3) ◽  
pp. 400-419 ◽  
Author(s):  
Harold D. Harlow
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Intellectual Capital ◽  
Data Analytics ◽  
Management Strategy ◽  
Management Tool ◽  
Social Implications ◽  
Knowledge Management Strategy ◽  
Content Type ◽  
Strategic Intent

PurposeThis paper aims to build on current analytics and Big Data definitions and strategies from the literature to develop an overall strategic model connecting knowledge management strategy (KMS) for intellectual capital (IC) acquisition and business use. It also extends the IC research stages to a fifth stage of IC research including IC strategic intent.Design/methodology/approachA literature review highlights the connections among strategic intent, firm strategy, KMS and a data analytics strategy aligned with firm and KMS strategic intent. An extended model of the interrelationships is developed from the prior research.FindingsA model framework was developed from the literature that connects Big Data to achieve the goals of a firm KMS and demonstrates how Big Data analytics (BDA) needs to shift from being a tactical tool to a strategic knowledge management tool directed by the overall strategy and strategic intent of the firm.Research limitations/implicationsThe model presented needs to be empirically tested over a sample of companies and periods to determine if performance improves using this model.Practical implicationsUse of this model proposes that strategic intent will be enhanced and improve the capture of intellectual property derived from advanced analytics and increase sustainable advantages at firm.Social implicationsThe social implications of lack of strong privacy laws coupled with the possible elimination of millions of knowledge worker jobs creates a pressing need for more research into and identification of firm’s and government’s Big Data strategic use for both good and perhaps evil.Originality/valueThe research in this paper extends current models of IC development and adds strategic intent and collective intelligence as the fifth stage of IC research and presents an overall KMS/BDA model.

scholarly journals Evaluating the digitalization potential of agro-industrial sector of Russia

2021 ◽  
Vol 935 (1) ◽  
pp. 012036
Author(s):  
O Afanaseva ◽  
V Elmov ◽  
E Ivanov ◽  
A Makushev
Keyword(s):  
Big Data ◽  
Crop Production ◽  
Data Science ◽  
Animal Husbandry ◽  
Industrial Sector ◽  
Agricultural Cooperatives ◽  
Industrial Complex ◽  
Scientific Approach ◽  
Digital Development ◽  
Reducing Costs

Abstract Best practices of farmers using modern digital technologies demonstrate high results achieved both in crop production and in animal husbandry. Efficiency is expressed in increasing the yield, labor productivity, reducing costs, and what is more, in preserving soil fertility and protecting the environment. However, the need to digitize managerial and analytical processes based on Big Data, Data Science implementation and the ability to interpret the obtained analytical material and make qualified decisions based on a scientific approach are often missed the memo. In light of this, the purpose of the study was to analyze the readiness of various company unit categories employed in the agro-industrial complex of Russia to use big data and process it. Based on the results obtained, a matrix for determining the potential for the transition of companies to the use and analytics of Big Data was built. According to the results of which, it can be argued that, on average, about 45% of the analyzed companies have a high potential for the transition to digital development, and an average level of potential is 24%. In the context of the categories of farms, the results for the surveyed agricultural cooperatives, traders and exporters are higher than the average indicators.

scholarly journals Sustainability in Small and Medium-Sized Manufacturing Enterprises: An Empirical Study

2016 ◽  
Vol 15 (2) ◽  
pp. 42 ◽  
Author(s):  
I. Garbie
Keyword(s):  
Sustainable Development ◽  
Industrial Sector ◽  
Mathematical Framework ◽  
Manufacturing Companies ◽  
Manufacturing Enterprise ◽  
Sustainable Practices ◽  
The Sustainable Development ◽  
Manufacturing Enterprises ◽  
Industrial Companies ◽  
Significant Difference

The main goal of this paper is to analyze and investigate sustainable practices in small and medium-sized manufacturing enterprises (SMEs). A comprehensive analysis and a mathematical framework are used to assess the sustainability indexes (SDIs) of each aspect/issue and pillar/dimension, and of the whole manufacturing enterprise. Sustainability in the whole manufacturing enterprise is represented by the sustainable development index (SDI). The results show that there is a significant difference in SDIs between aspects and dimensions, with economic sustainability representing the highest percentage in the SDI. Also, the results show that industrial companies are adopting sustainable practices and applying them to most of the issues/aspects of the dimensions, and they can direct manufacturing companies in the industrial sector to develop strategies for sustainability. This paper introduces a new understanding of the practices and implementation of sustainability/sustainable development by SMEs through assessing the SDIs. 

scholarly journals The ISO 14001 environmental management system, a lever for performance and competitiveness of the Moroccan industrial company

2021 ◽  
Vol 240 ◽  
pp. 02007
Author(s):  
Sarra Gazoulit ◽  
Khadija Oubal
Keyword(s):  
Environmental Management ◽  
Management System ◽  
Environmental Management System ◽  
International Standards ◽  
Iso 14001 ◽  
Management Tool ◽  
Industrial Companies ◽  
Set Up ◽  
The Impact ◽  
Industrial Company

For some years now, Moroccan industrial companies have begun to integrate the environment into their management and to set up an environmental management system, in compliance with international standards, in order to meet the requirements of stakeholders. The fact remains that this management tool has enabled companies to control the impact of their activity on the environment by promoting manufacturing excellence. On a sample of twenty-two large industrial companies with a response rate of 55%, we conducted a quantitative and qualitative study, which allowed us to show the importance of EMS iso 14001 on the performance and competitiveness of the Moroccan industrial company.

scholarly journals Integration of Cassandra and Spark in Computer Aided Drug Design

2021 ◽  
pp. 68-73
Author(s):  
Nitha V R
Keyword(s):  
Big Data ◽  
Molecular Modeling ◽  
Drug Design ◽  
Programming Languages ◽  
New Drugs ◽  
Java Virtual Machine ◽  
Management Tool ◽  
Computer Aided Drug Design ◽  
Modeling Tool ◽  
Computer Aided

The primary purpose of this paper is to provide feasibility study of Cassandra and spark in Computer Aided Drug Design (CADD). The Apache Cassandra database is a big data management tool which can be used to store huge amount of data in different file formats. A huge database can be designed with details of all known molecules or compounds that are existing on earth. The information regarding the compounds such as selectivity, solubility, synthetic viability, affinity, adverse reactions, metabolism and environmental toxicity along with the 3 D structure of molecule can be stored in this big database. A data analytics tool “spark” can be efficiently used in mining and managing huge data stored in the database. Integrating big data in CADD helps in identifying the candidate drugs within minutes, not years. It may take eight to fifteen years to develop a new drug traditionally. Spark is written in Scala Programming Language which runs on Java Virtual Machine (JVM) and it supports Scala, Java and Python Programming languages .Cassandra can provide connectors to different programming languages, hence it’s very easy to integrate any other molecular modeling tool with Spark. A python based molecular modeling tool called Pymol can be easily implemented with Spark. CADD helps in identifying new drugs by computational means thus eliminating unnecessary cost incurred in chemical testing of drugs.

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