Relevant bibliographies by topics / Small business Management Data processing

Academic literature on the topic 'Small business Management Data processing'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Small business Management Data processing"

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Miftahurrohman and Rosa Haniatul Wafiroh. "Implementasi Knowledge Management System pada Usaha Mikro Kecil Kecamatan Rowosari." Dinamika: Jurnal Manajemen Sosial Ekonomi 2, no. 1 (May 30, 2022): 93–102. http://dx.doi.org/10.51903/dinamika.v2i1.181.

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Micro, small and medium enterprises (MSMEs) are productive economic enterprises owned by individuals and business entities that meet the criteria as micro-enterprises from the agricultural, fishery, processing industries, handicraft industries and creative industries, the problem that occurs is that there is no regular updating of data. from the sub-district government so that many micro and small business actors have not been recorded thoroughly, with limited data it is certainly difficult for the sub-district government to convey information to micro and small business actors, delays in information also affect the relationship between the sub-district and business actors who are not good . This research was conducted to create and implement a knowledge management system that is equipped with location features so that it can facilitate data collection and knowledge management on micro and small businesses in Rowosari sub-district. This application is made using the PHP programming language and MySQL database. The results of this study indicate that the application of this knowledge management system can make it easier to collect data and manage information and knowledge about micro and small businesses.
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Rahman, Aviv Yuniar, Bagus Setyawan, Feddy Wanditya Setiawan, and April Lia Hananto. "Model Pengolahan Kas UMKM Sampah Organik untuk Pakan Cacing menggunakan Finite State Automata." Jurnal Ilmiah FIFO 11, no. 2 (November 1, 2019): 165. http://dx.doi.org/10.22441/fifo.2019.v11i2.006.

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Financial processing is currently widely used for business purposes. The business includes small and medium businesses. With these small and medium businesses, the system used still uses financial processes manually in its processing. As a result, there are often errors in the calculation process as well as income and expenditure. And not the same as the results of the calculation. In this cash processing application system, it can help small and medium entrepreneurs to calculate large amounts of data. And will reduce the error rate. The application model is designed using Finite State Automata. With this model, it can be seen that the value of the design testing process shows that the first and second designs have smaller processing processes compared to the third design. It can be said that to conduct data processing in a large way the third design is more accurate than the first and second. It is hoped that this application can be applied by other small and medium micro-entrepreneurs, and can assist in carrying out a more efficient financial management process.
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Licker, P. S. "Computer Management: Human Resource Management and Business Success in Small, Hi-Tech Firms: Some Lessons for Data Processing." Computer Journal 32, no. 6 (December 1, 1989): 533–40. http://dx.doi.org/10.1093/comjnl/32.6.533.

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Silalahi, Arina Prima, and Harlen Gilbert Simanullang. "DASHBOARD MANAGEMENT PENJUALAN DAN PEMBELIAN PADA TANGKAHAN IKAN." METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi 4, no. 2 (September 10, 2018): 8–13. http://dx.doi.org/10.46880/mtk.v4i2.63.

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Technology has an important role in the implementation of human activities at this time, including in business activities. Today's technology is widely used to manage business activities with various forms of display/templates that are easy to use. Dashboards are used to display data concisely. Reports can be viewed quickly through a summary of the data displayed on the dashboard. So much data processing makes business activities that still carry out manual recording and see the report data sequence is felt to be less effective. Utilization of technology is highly needed by owners of small businesses when facing business management constraints such as a long time to manage data, loss of sales data, purchases and reports recapitulation errors. Besides, the need for fast and accurate data and information access is also needed to support and monitor business management. Based on these problems, a solution is needed to manage the overall sales and purchasing data, and display reports quickly and accurately by carrying out a study entitled "Dashboard Management of Sales and Purchases of Fish in Fish Spots".
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Nazier, Mostafa Medhat, Dr Ayman Khedr, and Assoc Prof Mohamed Haggag. "Business Intelligence and its role to enhance Corporate Performance Management." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 3, no. 3 (January 23, 2013): 08–15. http://dx.doi.org/10.24297/ijmit.v3i3.1745.

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As every small or large organization requires information to promote their business by forecasting the future trends, information is now the primary tool to understand the market trends and understand their own position in the market comparison to its competitors. Business intelligence is the use of an organizations disparate data to provide meaningful information and analyses to employees, customers, suppliers, and partners for more efficient and effective decision-making. BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), data warehouse (DW), statistical analysis, forecasting, and data mining.
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Cahyanti, Mega Mirasa, and Widiya Dewi Anjaningrum. "FAKTOR-FAKTOR YANG MEMPENGARUHI PERKEMBANGAN USAHA KECIL SEKTOR INDUSTRI PENGOLAHAN DI KOTA MALANG." Jurnal Ilmiah Bisnis dan Ekonomi Asia 11, no. 2 (September 1, 2018): 73–79. http://dx.doi.org/10.32812/jibeka.v11i2.50.

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This study aims to determine the factors that influence the development of the small business manufacturing sector in Malang town. This research is a kind of field research, where the primary quantitative data through questionnaire was taken directly from small businesses. The sampling technique that was used is purposive sampling, where the sample was selected based on the consideration which the sample could provide some informations that are suitable with the needs of the research. Based on the Slovin formula, a predetermine number of samples that taken was 89 small businesses. Based on the result taken by data processing and factor analysis using SPSS 23, shows that the factors which influence the development of small business manufacturing sector are the quality of human resources, production systems, financial management systems, marketing strategies, the partnership system, the quality of infrastructure and regulation. In this case, the factor which has the higest significant effect is partnership system. Finally, improving the partnership system on small business should be developed not only with suppliers, but also with the government, large business, financial institutions and business centers. Therefore, these small business could be thrive.
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Robinson, Jr., Alfred V. "A Study Of The Use Of Financial Ratios In Smaller Business Enterprises." Journal of Applied Business Research (JABR) 1, no. 1 (November 2, 2011): 9. http://dx.doi.org/10.19030/jabr.v1i1.6589.

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Entrepreneurs should be aware of the currently high rate of failure for small business firms and the consequent need for well-formulated and strategic planning, implementation and evaluation of the smaller business firm. Many of these basic forms of analysis can be derived from financial statement and reporting disclosures for the smaller business firm. These tools for management planning and decision-making are increasingly available with the use of electronic data processing (EDP) systems in the creation of financial data for a business organization.Recognizing the need for systematic use and evaluation of these financial data by small business owners, this study focused upon the use of a set of widely discussed financial ratios by a sample group of small business owners in the Chicago metropolitan area.
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Yaarozatulo Harefa, Herman. "The Establishment of Optimized Management of The Economic Potential of Regional Communities Through BUMDes and UMKM." International Journal of Regional Innovation 1, no. 3 (August 31, 2021): 16–22. http://dx.doi.org/10.52000/ijori.v1i3.20.

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This study discusses the innovation of BUMDes and also SMEs in order toimprove the economy and improve community efforts in managing potentialeconomyowned by the area. Of course, this research will explore the problems that occur in BUMDes and UMKM as well as the role of the government and society in realizing a stable and prosperous community economy by implementing innovations that have been made to achieve these goals.This study uses a qualitative method.In this study, data collection was also carried out through searching various sources which were then processed and described in narrative form according to data needs. The population in this study is an area that has made innovations in the field of UMKM and also BUMDES which aims to grow and develop businesses in order to build a prosperous community economy. While the research subjects are in West Java Province with the innovation of the UMKM Outlet System and in Morotai Island Regency with its innovation, namely IT Bumdes. This study shows that local government and community participation in realizing innovations made in order to create a stable and prosperous community economy have succeeded in answering the problems that occurred, especially in West Java and Morotai Island Regency. With the creation of the UMKM Outlet System innovation in West Java and the IT innovation of Bumdes, Morotai Island Regency managed to provide an application system that can accommodate the development needs for the Cooperatives and Small Business Office as well as Small Business actors in the aspect of data and information processing. As well as providing services to the local community by placing prices and services according to market standards that do not cause distortions in the rural economy caused by BUMDes efforts. With the creation of the UMKM Outlet System innovation in West Java and the IT innovation of Bumdes, Morotai Island Regency managed to provide an application system that can accommodate the development needs for the Cooperatives and Small Business Office as well as Small Business actors in the aspect of data and information processing. As well as providing services to the local community by placing prices and services according to market standards that do not cause distortions in the rural economy caused by BUMDes efforts. With the creation of the UMKM Outlet System innovation in West Java and the IT innovation of Bumdes, Morotai Island Regency managed to provide an application system that can accommodate the development needs for the Cooperatives and Small Business Office as well as Small Business actors in the aspect of data and information processing. As well as providing services to the local community by placing prices and services according to market standards that do not cause distortions in the rural economy caused by BUMDes efforts.
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Ratnaningtyas, Sudrajati, Acip Sutardi, and Yogi Makbul. "The Influence of Entrepreneurship Capability to Micro and Small Business Growth in Indonesian Fish Processing Industry." International Journal of Engineering & Technology 7, no. 3.25 (August 14, 2018): 100. http://dx.doi.org/10.14419/ijet.v7i3.25.17476.

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This study aims to measure the entrepreneurship capability and its influence on business growth in the fish processing industry which is a supporter of the culinary industry. There are three dimensions of entrepreneurship capability included in the model: entrepreneurial skills, management skills, and technical skills, with each factor. The research was conducted in fish production center in West Java Indonesia, in 2017. The research method used was survey method by Two-Stage Cluster Random sampling technique; and used primary and secondary data. Data analysis technique used Compound Annual Growth Rate (CAGR) to measure business growth, and Structural Equation Model (SEM) to analyze the influence of entrepreneurship on business growth. The results showed that communication, ability to take risk, innovative, change-oriented, persistent, proactiveness, committed, planning and goal setting, decision making, motivating, marketing, inner control, design, environment observation, critical path method, work break down structure are indicators appropriate to be a measure of entrepreneurial capability, especially for micro and small business manager. Entrepreneurship capability significantly influenced business growth at 95 percent confidence level. It means that when entrepreneurship capability is improved it will increase the business growth rate of micro and small business in the fish-based food processing industry in Indramayu Regency.
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Guo, Jianhong, Che-Jung Chang, Yingyi Huang, and Kun-Peng Yu. "A Fuzzy-Decomposition Grey Modeling Procedure for Management Decision Analysis." Mathematical Problems in Engineering 2021 (February 10, 2021): 1–6. http://dx.doi.org/10.1155/2021/6670196.

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To cope with the increasingly fierce market competition environment, enterprises need to quickly respond to business issues and maintain business advantages, which require timely and correct decisions. In this context, the general mathematical modeling method may cause overfitting phenomenon when using small data sets, so it is difficult to ensure good analysis performance. Therefore, it is significant for enterprises to use limited samples to analyze and forecast. Over the past few decades, the grey model and its extensions have been shown to be effective tools for processing small data sets. To further enforce the effectiveness of data uncertainty processing, a fuzzy-decomposition modeling procedure for grey models is developed. Specifically, Latent Information (LI) function is employed to decompose the initial series into three subseries; next, the three subseries are used to build three grey models and create the estimated values of the three subseries; finally, the weighted average method is applying to combine the estimated values of the three subseries into a single final predicted value. After the actual test on the monthly demand data of the thin-film transistor liquid crystal display panels, the proposed fuzzy-decomposition modeling procedure can result in good prediction outcomes and is thus an appropriate decision analysis tool for managers.
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Dissertations / Theses on the topic "Small business Management Data processing"

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Mallalieu, Gillian Margaret. "A critical approach to business process modelling in small to medium sized enterprizes." Thesis, Durham University, 2003. http://etheses.dur.ac.uk/1078/.

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The research issue for this thesis was founded within the RAMESES project, but is specifically concerned with the necessity for SMEs to undertake the activity of business process modelling. The need to understand the `as is' position of an organisation is fundamental to the development, change or implementation of any information or communication technologies (ICT). The primary research question was `are SMEs able to model business processes in such a way that will enable the effective analysis of the organisation in order to enable information systems development change or implementation'. The objective of the research was to develop a method by which this business process modelling activity could be supported in a fashion which was accessible and effective within the target environment. This thesis expounds the benefits of using a critical approach utilizing a combination of qualitative and quantitative research methods within the bounds of a multi-disciplinary research team to enable effective exploration and investigation. The concept of the research life-cycle has developed the notion of appropriateness in method and approach: this is discussed against the values of the critical and realist paradigms. The issues reported in this thesis have been identified as a result of detailed case study analysis of six small organisations in the North-east of England. The conclusions are presented in three sections firstly the conclusions relating to the SME and the appropriateness of the BAM technique developed within the RAMESES project. Secondly conclusions are given in regard to the research methodology and reflections given as to the efficacy of the process. Thirdly reflections and conclusions are presented that relate to the work in relation to its overall critical aims and finally makes suggestions as to how future work could be improved.
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Morgan, Jac F. "The design of a small business database using the Semantic Database Model." Thesis, Kansas State University, 1985. http://hdl.handle.net/2097/9867.

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Chauma, Crecencia Naison. "The application of project management tools and techniques in ICT SME projects in Western Cape." Thesis, Cape Peninsula University of Technology, 2017. http://hdl.handle.net/20.500.11838/2546.

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Thesis (MTech (Business Administration))--Cape Peninsula University of Technology, 2017.
Introduction The research looked at the application of project management tools and techniques in ICT SME projects in the Western Cape. Problem Statement Previous literature revealed that small to medium enterprises (SMEs) are vital to developing economies as they provide employment and contribute to overall sustainable economic productivity. Literature further alludes that project management tools and techniques enhance SME’s ability to innovate, grow and compete in industry. However, it is unclear if ICT SMEs in Western Cape are applying project management tools and techniques in their projects. Therefore, this study aimed to investigate whether ICT SMEs in Western Cape applied these tools and techniques in their projects. Aims / Objectives The primary objective of the research was to determine the extent to which ICT SMEs in Western Cape were using project management tools and techniques. The secondary research objectives were: to determine the extent to which ICT SMEs in Western Cape knew about the project management tools and techniques and how to use them; to establish the extent to which the ICT SMEs knew the benefits of using project management tools and techniques; and to determine the extent to which project management tools and techniques were used by SMEs to achieve success. Methodology The research was non experimental. An electronic questionnaire was distributed using Survey Monkey and Mail Chimp to collect responses. Some questionnaires were hand delivered to ICT SMEs based in the Cape Town CBD areas accessible to the researcher. The results presented in the research were based on a survey of ICT SMEs, located in Western Cape. Out of the 341 responses targeted a total of 210 responses were obtained. The results obtained represent 60- 70% of the population interviewed. The sample was chosen using stratified random sampling that classified the respondents according to organisational hierarchy, and the amount per strata was noted. The respondents within each stratum were chosen using simple random sampling thus eliminating bias.
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Ahmat, Abd-al Malik Madina. "The effective application of information systems within SMMEs for long term competitive advantage." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2413.

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Thesis (MTech (Information and Technology))--Cape Peninsula University of Technology, 2016.
It has been shown that the South African insurance landscape takes up an important place in the African continent, contributing nearly three quarters of the total African insurance sector (Paul, Twala & Marwala, 2012). The industry landscape has shown development at a compound annual growth rate (CAGR) of 11.7% between 2004 and 2008. The life insurance industry is assumed to grow at a CAGR of 8.3%. Small, medium and micro-sized enterprises (SMMEs) are important role players in every economy and provide a major contribution to the gross domestic product (GDP) and employment. Many South African enterprises have in the past focused on local markets, but more recently SMMEs have been forced to respond to competition in the global market as markets expand. The role of SMMEs is considered critical in terms of poverty alleviation, employment creation, and international competitiveness. However, resource limitations have made it difficult for many SMMEs to enter new markets and compete effectively. The effective application of information systems (IS) are viewed as a way for SMMEs to become more competitive and drive business benefits such as cost reduction, improved profitability, enhanced customer service, new market growth opportunities, and more efficient operating relationships with trading customers and partners. There are an increasing number of new opportunities and competition in the marketplace because of business globalisation. The marketplace and business globalisation dynamics have a major influence on SMMEs and their operations. SMMEs require a critical evaluation of their internal processes and seek out solutions to be able to sustain their growth and competitiveness. This research study adopted an inductive approach to describe the rational process of establishing a general proposition on the basis of observing particular facts. An in-depth case study is used to explore the multiple perspectives of the complexity and uniqueness of SMMEs. One-on-one interviews were conducted to collect data from 17 financial advisors using an interview guide with semi-structured questionnaires. The data were analysed through the process of thematic coding which is common in case study research, and labels were assigned to form and organise the themes in groups and categories. Ethical consideration was presented before data collection commenced, and the autonomy, self-respect and human dignity of all respondents during the data collection process were considered. The findings reveal that financial service providers (FSPs) have a different understanding of IS, what competitive means, and what it can do for a business.
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Langenhorst, Don Gregory. "Comparisons of current practices of computer use and training by industry type of small businesses in the Portland area." PDXScholar, 1989. https://pdxscholar.library.pdx.edu/open_access_etds/3910.

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Anthonissen, Carel Aaron. "Market requirements of a hosted MES for small and medium size manufacturers in South Africa." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/95645.

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Thesis (MBA)--Stellenbosch University, 2013.
As small manufacturing enterprises (SMEs) grow, the complexity of their manufacturing operations are likely to increase to a point where they can benefit from manufacturing specific information systems, such as a manufacturing execution system (MES), to manage the complexity of their operating environment. Unfortunately, the capital expense required to implement an MES may prohibit smaller enterprises from adopting this potentially advantageous technology. Software-as-a-Service (SaaS) is a developing delivery channel that promises to realise the same economies of scales of large software implementations by hosting software centrally and allowing access by multiple customers through the internet. This delivery model promises, amongst its many benefits, access to advanced software at a subscription based fee, which reduces its capital expense and makes it affordable to smaller enterprises. The purpose of this study is to identify factors that would influence the adoption of SaaS based MESs in South-African manufacturing SMEs. A literature survey was conducted to understand the characteristics of SaaS, the functionality and benefits that can be derived from an MES and the characteristics of SMEs that differentiate them from larger organisations. Instruments were identified which can be used to assess the propensity of SMEs to adopt new technology. An internet survey of South-African manufacturing SMEs was conducted to determine their perceptions and beliefs regarding SaaS and MES, and their intent to implement licensed or SaaS based MES within the next 12 months. The survey results were analysed to determine which beliefs were the most influential in determining an SME’s intention to adopt an MES and particularly which beliefs bias their decision towards either a licensed or a SaaS based MES implementation. The perceived benefits of an MES were found to be the most significant factor in driving the intent to adopt an MES. It was found that some beliefs regarding SaaS and licensing may influence the choice of delivery channel, and the perceptions of industry peers and customers were also found to influence the decision to adopt either a licensed or a SaaS based MES. A simple screening of input variables was effective in improving the predictive ability of the research model. While a full set of variables was able to explain 9.4% of the variation in the intent to adopt MES, a screened set of variables was able explain 15.5%. Further improvement in screening techniques could further improve the predictive power of the model. Since the model was only able to explain around 15.5% of the variation in the intent to adopt an MES, it is likely that there may be other significant factors that drive the intention to adopt an MES that are not covered in this study. These could include personal attitudes of the owner that are independent of the enterprise itself.
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Ngoqo, Bukelwa. "Small hospitality enterprises and the internet: an IT governance model for conducting business online." Thesis, University of Fort Hare, 2010. http://hdl.handle.net/10353/382.

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The Internet has made a considerable impact on how business is conducted. Empowered by technology consumers are using the Internet as a tool to communicate and transact online. E-commerce (electronic commerce) presents opportunities for business to gain a competitive advantage, however it also posses certain challenges. Small and Medium Hospitality Enterprises (SMHEs) sector within the tourism industry, is one of the sectors which stands to benefit from using the Internet for business. Researchers agree that the contribution made by the tourism sector in developing economies is substantial. However, SMHEs are noted for their failure to derive optimal benefits from using the Internet for business to improve their competitiveness. This study which seeks to develop a model for use by SMHEs as a guide when making the decision to adopt technology was necessitated by the importance of SMHE’s contribution in the economy of developing countries. This model is based on the examination of existing theories and models such as; the Delone and McLean IS success model (2004), and the ITGI’s (2007) IT governance focus areas model. To elicit the desired outcomes, additional data was collected using questionnaires, interviews, and observations. The collected data was analysed and resulted in the development of a model that can be used by SMHEs in order to derive value from IT and to gain a competitive advantage.
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Amarilla, Rosemara Santos Deniz. "Identificação e análise dos processos de negócio de empresas de pequeno porte do setor da construção civil." Universidade Tecnológica Federal do Paraná, 2013. http://repositorio.utfpr.edu.br/jspui/handle/1/586.

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Capes
O presente estudo tem como objetivo identificar e analisar comparativamente os principais processos de negócio de empresas de pequeno porte do subsetor de edificações da construção civil. Para tanto, foi utilizado o método de pesquisa qualitativa e estudo de casos múltiplos como técnica principal. Participaram deste trabalho, cinco empresas que estão localizadas na cidade de Curitiba, Paraná. Para a coleta de dados, foram realizadas entrevistas semi-estruturadas, análises de documentos e observações diretas. A partir das informações obtidas, desenvolveu-se graficamente o mapeamento dos processos de negócio de cada empresa utilizando-se a notação BPMN. O estudo mostrou que os processos e as atividades das empresas deste setor apresentam características comuns, facilitando assim, a padronização das melhores práticas. Com o estudo de outros casos, surgirão outros aspectos semelhantes que poderão ser utilizados na elaboração de um modelo de referência que apresenta orientação específica sobre como os processos de negócio podem ser gerenciados nas organizações do subsetor de edificações.
The present study has as objective to identify and analyze comparatively the main business processes of small companies of the subsector of edifications of the civil construction. Therefore, was used the qualitative research method and multiple case study as the main technique. Participated of this work, five companies that are located in the city of Curitiba, Paraná. For data collection were performed semi-structured interviews, document analysis and direct observations. From the information obtained, developed graphically mapping the business processes of each company using the BPMN notation. The study showed that the processes and activities of companies in this sector present common characteristics, thus facilitating the standardization of best practices. With the study of other cases will arise other similar aspects that could be used in the preparation of a reference model that provide specific guidance on how business processes can be managed in organizations of the subsector of edifications.
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Saber, Jennifer. "Determining Small Business Cybersecurity Strategies to Prevent Data Breaches." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/4991.

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Cybercrime is one of the quickest growing areas of criminality. Criminals abuse the speed, accessibility, and privacy of the Internet to commit diverse crimes involving data and identity theft that cause severe damage to victims worldwide. Many small businesses do not have the financial and technological means to protect their systems from cyberattack, making them vulnerable to data breaches. This exploratory multiple case study, grounded in systems thinking theory and routine activities theory, encompassed an investigation of cybersecurity strategies used by 5 small business leaders in Middlesex County, Massachusetts. The data collection process involved open-ended online questionnaires, semistructured face-to-face interviews, and review of company documents. Based on methodological triangulation of the data sources and inductive analysis, 3 emergent themes identified are policy, training, and technology. Key findings include having a specific goal and tactical approach when creating small business cybersecurity strategies and arming employees with cybersecurity training to increase their awareness of security compliance. Recommendations include small business use of cloud computing to remove the burden of protecting data on their own, thus making it unnecessary to house corporate servers. The study has implications for positive social change because small business leaders may apply the findings to decrease personal information leakage, resulting from data breaches, which affects the livelihood of individuals or companies if disclosure of their data occurs.
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Yeung, Ka-wing Ricky, and 楊家榮. "IT implementation in small and medium manufacturing enterprises." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B31268432.

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Books on the topic "Small business Management Data processing"

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Society of Management Accountants of Canada. Research Studies Committee., ed. Information systems in small business. Hamilton, Ont: Society of Management Accountants of Canada, 1988.

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Kilpatrick, Michael. Essential programs for small business planning. New York: Wiley, 1985.

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Brian, Webb. Information technology and competitive advantage in small firms. New York, NY: Routledge, 2008.

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Resnik, Paul. The small business bible: Special software edition. New York: Random House Electronic Pub., 1992.

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Stephen, Shipley, ed. Computing in a small business. 2nd ed. Cheltenham: Stanley Thornes, 1991.

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J, Rathswohl Eugene, ed. MIS cases: Solving small business scenarios using application software. New York: Wiley, 2013.

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Resnik, Paul. The small business bible: The make-or-break factors for survival and success. New York: J. Wiley, 1988.

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1962-, Lu Fangyuan, and Yang Changhui 1970-, eds. Zhong xiao qi ye guan li xin xi hua yan jiu. Zhengzhou Shi: Zhengzhou da xue chu ban she, 2003.

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Lefebvre, Louis A. Introduction and use of information systems in small businesses: A study of the perceptions and expectations of managers : summary. [Ottawa]: Govt. of Canada, Dept. of Communications, 1987.

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J, Rathswohl Eugene, ed. MIS cases: Solving small business scenarios using application software. Hoboken, NJ: Wiley, 2008.

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Book chapters on the topic "Small business Management Data processing"

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Böhlen, Michael H., Anton Dignös, Johann Gamper, and Christian S. Jensen. "Temporal Data Management – An Overview." In Lecture Notes in Business Information Processing, 51–83. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96655-7_3.

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Peng, Kai, Hua Zou, Rongheng Lin, and Fangchun Yang. "Small Business-Oriented Index Construction of Cloud Data." In Algorithms and Architectures for Parallel Processing, 156–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33065-0_17.

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Chitti, Phani, Jordan Murkin, and Ruzanna Chitchyan. "Data Management: Relational vs Blockchain Databases." In Lecture Notes in Business Information Processing, 189–200. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20948-3_17.

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Agrawal, Divyakant, Amr El Abbadi, Fatih Emekci, Ahmed Metwally, and Shiyuan Wang. "Secure Data Management Service on Cloud Computing Infrastructures." In Lecture Notes in Business Information Processing, 57–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19294-4_3.

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Brandt, Tobias, and Marco Grawunder. "Spatial Query Processing on AIS Data Streams in Data Stream Management Systems." In Business Information Systems Workshops, 461–72. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36691-9_39.

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Yusof, Rohani, Mohd Hafiz Abdul Halim, Yuslina Abdul Ghani, and Zuhairah Abdul Hadi. "Business and Financial Management Sustainability of a Small-Medium Enterprise." In Entrepreneurship and Big Data, 251–66. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003097945-17.

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Lee, Sung Une, Liming Zhu, and Ross Jeffery. "A Data Governance Framework for Platform Ecosystem Process Management." In Lecture Notes in Business Information Processing, 211–27. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98651-7_13.

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Chosokabe, Madoka, Yukino Tsuguchi, Hiroyuki Sakakibara, Takanobu Nakayama, Shota Mine, Daisuke Kamiya, Ryo Yamanaka, and Toshiaki Miyaguni. "Effects of Small Group Discussion: Case Study of Community Disaster Risk Management in Japan." In Lecture Notes in Business Information Processing, 3–12. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19515-5_1.

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Sun, Haiyang, Jian Yang, Xin Wang, and Yanchun Zhang. "A Verification Mechanism for Secured Message Processing in Business Collaboration." In Advances in Data and Web Management, 480–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00672-2_42.

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Brockhoff, Tobias, Merih Seran Uysal, Isabelle Terrier, Heiko Göhner, and Wil M. P. van der Aalst. "Analyzing Multi-level BOM-Structured Event Data." In Lecture Notes in Business Information Processing, 47–59. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98581-3_4.

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AbstractWith the advent of Industry 4.0, increasing amounts of data on operational processes (e.g., manufacturing processes) become available. These processes can involve hundreds of different materials for a relatively small number of manufactured special-purpose machines rendering classical process discovery and analysis techniques infeasible. However, in contrast to most standard business processes, additional structural information is often available—for example, Bills of Materials (BOMs), listing the required materials, or Multi-level Manufacturing Bills of Materials (M2BOMs), which additionally show the material composition. This work investigates how structural information given by Multi-level Bills of Materials (M2BOMs) can be integrated into a top-down operational process analysis framework to improve special-purpose machine manufacturing processes. The approach is evaluated on industrial-scale printer assembly data provided by Heidelberger Druckmaschinen AG.
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Conference papers on the topic "Small business Management Data processing"

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Grabill, Paul, Jerry Jacobs, Tom Johnson, Tom Brotherton, and Jon Keller. "Helicopter Structural Life Modeling: Flight Regime and Gross Weight Estimation." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-27894.

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Accurate usage information collected by Health and Usage Monitoring Systems (HUMS) coupled with improved structural fatigue life calculation methodologies promise to reduce helicopter operational and support costs while maintaining current flight safety levels. Current fatigue life calculations assume worst-case flight profiles in determining component life. This approach may be outdated or not reflective of actual aircraft usage. On a small business innovative research (SBIR) contract the Intelligent Automation Corporation (IAC) has developed processing to include a low cost regime recognition and aircraft gross weight estimation capability as an extension to the US Army’s Vibration Management Enhancement Program (VMEP). IAC’s approach relies on multi-sensor data fusion technology and flight parameters collected by VMEP to provide an accurate flight regime calculation. Recording time in particular flight regimes has the potential of extending aircraft component life without changing proven lifing models. The regime recognition system has been implemented with the current release of IAC’s VMEP systems. Presented here are the methodology, development and visualization tools developed on the SBIR as well as results for using the system on AH-64 aircraft in follow-on work.
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Lee, Chang-Shen, Wei-Chong Chen, Shuvra S. Bhattacharyya, and Ta-Sung Lee. "Dynamic, data-driven spectrum management in cognitive small cell networks." In 2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS). IEEE, 2014. http://dx.doi.org/10.1109/icspcs.2014.7021121.

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Jianzhong Chen, Chuanxing Zheng, and Jian Chen. "Data acquisition and processing for mine's dynamic rail weight-bridge." In 2011 International Conference on Business Management and Electronic Information (BMEI). IEEE, 2011. http://dx.doi.org/10.1109/icbmei.2011.5917877.

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Hong, Loh Chun, and Teoh Ai Ping. "The Impact of Big Data Analytics Adoption on the Performance of Malaysian Small and Medium Enterprises." In 8th International Conference of Entrepreneurship and Business Management Untar (ICEBM 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200626.021.

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Zhang, Jianhua, and Yijing Xu. "Big Data Processing and Evaluation of Education and Teaching." In 2015 Joint International Social Science, Education, Language, Management and Business Conference. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/jisem-15.2015.32.

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Stepanova, Viktorija, and Ingars Erins. "Confidence Assessment of Professional Growth Data Processing System." In ICBIM 2020: 2020 The 4th International Conference on Business and Information Management. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3418653.3418656.

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Loh, Chun-Hong, and Ai-Ping Teoh. "The Adoption of Big Data Analytics Among Manufacturing Small and Medium Enterprises During Covid-19 Crisis in Malaysia." In Ninth International Conference on Entrepreneurship and Business Management (ICEBM 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/aebmr.k.210507.015.

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Stepanova, Viktorija, and Ingars Erins. "Assessment of Blockchain-Based Professional Growth Data Processing Model." In ICBIM 2020: 2020 The 4th International Conference on Business and Information Management. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3418653.3418655.

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Loh, Chun Hong, Ai Ping Teoh, and Keni Keni. "Overcoming Entrepreneurial Challenges with Big Data Analytics Adoption to Accelerate Economic Recovery: Evidence from Malaysian Small Medium Enterprises." In Tenth International Conference on Entrepreneurship and Business Management 2021 (ICEBM 2021). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/aebmr.k.220501.033.

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"ITAIPU DATA STREAM MANAGEMENT SYSTEM - A Stream Processing System with Business Users in Mind." In 3rd International Conference on Software and Data Technologies. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001882000540064.

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Reports on the topic "Small business Management Data processing"

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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-consuming and expensive. The main objective of this study is to develop methods and algorithms to automate the post-processing of the visual sensor data towards the extraction of three main categories of information: 1) object information such as object identity, shapes, and spatial relationships - a novel heuristic-based method is proposed to automate the detection and recognition of main structural elements of steel girder bridges in both terrestrial and unmanned aerial vehicle (UAV)-based laser scanning data. Domain knowledge on the geometric and topological constraints of the structural elements is modeled and utilized as heuristics to guide the search as well as to reject erroneous detection results. 2) structural damage information, such as damage locations and quantities - to support the assessment of damage associated with small deformations, an advanced crack assessment method is proposed to enable automated detection and quantification of concrete cracks in critical structural elements based on UAV-based visual sensor data. In terms of damage associated with large deformations, based on the surface normal-based method proposed in Guldur et al. (2014), a new algorithm is developed to enhance the robustness of damage assessment for structural elements with curved surfaces. 3) three-dimensional volumetric models - the object information extracted from the laser scanning data is exploited to create a complete geometric representation for each structural element. In addition, mesh generation algorithms are developed to automatically convert the geometric representations into conformal all-hexahedron finite element meshes, which can be finally assembled to create a finite element model of the entire bridge. To validate the effectiveness of the developed methods and algorithms, several field data collections have been conducted to collect both the visual sensor data and the physical measurements from experimental specimens and in-service bridges. The data were collected using both terrestrial laser scanners combined with images, and laser scanners and cameras mounted to unmanned aerial vehicles.
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Seginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, February 2001. http://dx.doi.org/10.32747/2001.7575271.bard.

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Background Early detection and identification of faulty greenhouse operation is essential, if losses are to be minimized by taking immediate corrective actions. Automatic detection and identification would also free the greenhouse manager to tend to his other business. Original objectives The general objective was to develop a method, or methods, for the detection, identification and accommodation of faults in the greenhouse. More specific objectives were as follows: 1. Develop accurate systems models, which will enable the detection of small deviations from normal behavior (of sensors, control, structure and crop). 2. Using these models, develop algorithms for an early detection of deviations from the normal. 3. Develop identifying procedures for the most important faults. 4. Develop accommodation procedures while awaiting a repair. The Technion team focused on the shoot environment and the Cornell University team focused on the root environment. Achievements Models: Accurate models were developed for both shoot and root environment in the greenhouse, utilizing neural networks, sometimes combined with robust physical models (hybrid models). Suitable adaptation methods were also successfully developed. The accuracy was sufficient to allow detection of frequently occurring sensor and equipment faults from common measurements. A large data base, covering a wide range of weather conditions, is required for best results. This data base can be created from in-situ routine measurements. Detection and isolation: A robust detection and isolation (formerly referred to as 'identification') method has been developed, which is capable of separating the effect of faults from model inaccuracies and disturbance effects. Sensor and equipment faults: Good detection capabilities have been demonstrated for sensor and equipment failures in both the shoot and root environment. Water stress detection: An excitation method of the shoot environment has been developed, which successfully detected water stress, as soon as the transpiration rate dropped from its normal level. Due to unavailability of suitable monitoring equipment for the root environment, crop faults could not be detected from measurements in the root zone. Dust: The effect of screen clogging by dust has been quantified. Implications Sensor and equipment fault detection and isolation is at a stage where it could be introduced into well equipped and maintained commercial greenhouses on a trial basis. Detection of crop problems requires further work. Dr. Peleg was primarily responsible for developing and implementing the innovative data analysis tools. The cooperation was particularly enhanced by Dr. Peleg's three summer sabbaticals at the ARS, Northem Plains Agricultural Research Laboratory, in Sidney, Montana. Switching from multi-band to hyperspectral remote sensing technology during the last 2 years of the project was advantageous by expanding the scope of detected plant growth attributes e.g. Yield, Leaf Nitrate, Biomass and Sugar Content of sugar beets. However, it disrupted the continuity of the project which was originally planned on a 2 year crop rotation cycle of sugar beets and multiple crops (com and wheat), as commonly planted in eastern Montana. Consequently, at the end of the second year we submitted a continuation BARD proposal which was turned down for funding. This severely hampered our ability to validate our findings as originally planned in a 4-year crop rotation cycle. Thankfully, BARD consented to our request for a one year extension of the project without additional funding. This enabled us to develop most of the methodology for implementing and running the hyperspectral remote sensing system and develop the new analytical tools for solving the non-repeatability problem and analyzing the huge hyperspectral image cube datasets. However, without validation of these tools over a ful14-year crop rotation cycle this project shall remain essentially unfinished. Should the findings of this report prompt the BARD management to encourage us to resubmit our continuation research proposal, we shall be happy to do so.
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