Academic literature on the topic 'Small business data processing'

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Journal articles on the topic "Small business data processing"

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Osman, Nor Hasni, and Abdul Aziz Jemain. "Selection of Small Business Practices Priorities." Journal of Business Management and Accounting 3 (February 23, 2020): 51–60. http://dx.doi.org/10.32890/jbma2013.3.0.8884.

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Small business plays an important role in Malaysian business systems. This is because it contributes to the national economic growth by creating job opportunities. As job creators, small businesses must secure access to financial resources but the critical issue surrounding the survival of small businesses is their financial management. Thus, this study approaches small business specifically to examine their financial practices in doing business. This study succeeded in interviewing 185 entrepreneurs in Kedah, which are involved in five different business sectors. These businesses include food
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Zaslavskaya, Veronika L., Roman K. Zaslavsky, and Svetlana V. Prokopchina. "INTELLIGENT PROCESSING OF BIG DATA IN SMALL BUSINESS TASKS BASED ON BAYESIAN INTELLIGENT TECHNOLOGIES." SOFT MEASUREMENTS AND COMPUTING 12, no. 61 (2022): 65–74. http://dx.doi.org/10.36871/2618-9976.2022.12.005.

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The article is devoted to solving the urgent problem of creating intelligent big data processing systems for small businesses. The specificity of information flows of small businesses, in particular in the service sector, is shown.The main tasks of increasing the efficiency of small businesses based on digitalization are identified. The methodology of the regularizing Bayesian approach (RBP), Bayesian intelligent measurement technologies (BII) and a digital platform for managing small businesses and creating monitoring and decision support systems are proposed. Based on this platform of the RB
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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 Automat
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Christenson Jr., Arthur Paul, and William Shalom Goldstein. "Impact of data analytics in transforming the decision-making process." Business & IT XII, no. 1 (2022): 74–82. http://dx.doi.org/10.14311/bit.2022.01.09.

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Although business analytics is becoming more and more used to provide data-driven insights to support decision making, there is little research on how business analytics may be used at an organizational level to enhance decision making effectiveness. This paper develops a study model linking company analytics to organizational decision-making effectiveness, using the info processing view as well as contingency theory. Based on 740 responses from UK business organizations, the research model is examined using structural situation modelling. Key findings show that business analytics can be done
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Firnalista, Nadia, Nofialdi, and Zednita Azriani. "Impact of Entrepreneurial Characteristics and Access to Credit on Business Performance of Small Business (Case: Brown Sugar Processing in Agam District)." Indonesian Journal of Agricultural Research 3, no. 1 (July 1, 2020): 56–64. http://dx.doi.org/10.32734/injar.v3i1.4289.

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Small businesses' performance needs to be improved because it plays an essential role in driving economic growth and development. This study focuses on examining the effect of entrepreneurial characteristics on small business performance. Data was collected through a survey by giving questionnaires to 100 small business entrepreneurs processing brown sugar. Structural Equation Model (SEM) was chosen to ensure the relationship between variables. Empirical findings indicate that entrepreneurial characteristics affect business performance directly and indirectly through credit access, entrepreneu
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Ragab, Rasha, and Abdulrahman Altahhan. "Fine-Tuning of Small/Medium LLMs for Business QA on Structured Data." International Journal on Natural Language Computing 13, no. 3 (June 28, 2024): 01–17. http://dx.doi.org/10.5121/ijnlc.2024.13301.

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Enabling business users to directly query their data sources is a significant advantage for organisations. The majority of enterprise data is housed within databases, requiring extensive procedures that involve intermediary layers for reporting and its related customization. The concept of enabling natural language queries, where a chatbot can interpret user questions into database queries and promptly return results, holds promise for expediting decision-making and enhancing business responsiveness. This approach empowers experienced users to swiftly obtain data-driven insights. The integrati
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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
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Thomas, William, and Rino. "Data Sales Application of Small Enterprises Using Growth Ratio Method." bit-Tech 5, no. 3 (April 28, 2023): 128–37. http://dx.doi.org/10.32877/bt.v5i3.558.

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Micro, small and medium enterprises are businesses that are generally individually and are small business entities such as selling dumplings, fried bananas, even internet cafes and so on. This study aims to create a business intelligence application that displays sales turnover data for micro, small and medium enterprises using online analytical processing with a web-based growth ratio method that aims to help micro, small and medium enterprises by making application prototypes that can display data from sales results in various easy graphs. viewed and using the growth ratio formula method whe
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Riski Amalia Madi, Buyung Sarita, Agustinus Tangalayuk, and Ece Yulianti. "The Effect of Business Orientation on Small Business Performance in Kendari City." Indonesian Journal of Innovation and Applied Sciences (IJIAS) 1, no. 1 (February 25, 2021): 19–30. http://dx.doi.org/10.47540/ijias.v1i1.158.

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Small businesses engaged in the food industry sector in the city of Kendari is a business activity that is broadly classified as small and is built by individuals or middle-to-lower groups. The purpose of business development is to earn profits with different levels of performance. One factor that can affect performance is the dimension of entrepreneurial orientation which consists of innovation, proactivity, risk-taking, competitive aggressiveness, and autonomy. The purpose of this study is to examine and provide empirical evidence about the effect of entrepreneurial orientation on the perfor
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Cuandra, Fendi, and Meirita Sita Dewi. "Processing Documents and Business Legality and Promoting Takoyaki Yoi Batam Products." GANDRUNG: Jurnal Pengabdian Kepada Masyarakat 4, no. 2 (July 1, 2023): 986–93. http://dx.doi.org/10.36526/gandrung.v4i2.2645.

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Takoyaki Yoi Batam is one of the Micro, Small, Mediun, Enterprises in Batam City that sells takoyaki. Takoyaki is food from Japan. Takoyaki Yoi Batam is located at SP Plaza Square Outlet, SP Ruko Complex, Jl Letjen R. Suprapto, Tembesi, Kec. Sagulung, Batam City. The place of business is a small stand. Takoyaki Yoi Batam does not yet have a Business Identification Number as a form of business legality document. In addition, Takoyaki Yoi Batam also lacks customer engagement on Instagram. Therefore, in this community service plan the Takoyaki Yoi Batam business on the OSS (Online Single Submissi
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Dissertations / Theses on the topic "Small business data processing"

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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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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'. Th
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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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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.<br>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 provi
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Gaskin, Shelley L. "An analysis of the impact of a small business development center consulting program on the attitudes of small business owners toward computers in their firms." Virtual Press, 1993. http://liblink.bsu.edu/uhtbin/catkey/897464.

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The purpose of this study was to investigate and report on the impact and effectiveness of a Small Business Development Center consulting program. The consulting program consisted of two individualized, self-paced, interactive computer courseware sets which were designed to deliver information about business computer systems to small business owners. The study was descriptive and exploratory in nature, utilizing a pre- and post-experience application of an attitudinal instrument. The participants were small business owners in Indiana.The primary research question related to the impact that the
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Chan, Ki-hung, and 陳己雄. "Implementation of information technology in small and medium retail and wholesale enterprises." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B31267853.

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Kazanis, Phillip, University of Western Sydney, of Science Technology and Environment College, and School of Computing and Information Technology. "Methodologies and tools for etransforming small- to medium-size enterprises." THESIS_CSTE_CIT_Kazanis_P.xml, 2004. http://handle.uws.edu.au:8081/1959.7/543.

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The 21st century is an age of conducting business electronically. The benefits of dealing electronically with customers, suppliers, government and others is a fact that will continue the push towards further use of digital technology. This research work aims to address the following research question. How can a small to medium size enterprise (SME)etransform to be competitive in a globalised, rapidly changing, digital world? There are two components to this question; firstly the nature of competitiveness in a globalised environment, and secondly, the issue of how an orgaisation can etransform.
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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.<br>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 uncl
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Westerlund, Elisabeth, and Hanna Persson. "Implementation of Business Intelligence Systems : A study of possibilities and difficulties in small IT-enterprises." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-255915.

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This thesis is written at the department of Business Studies at Uppsala University. The study addresses the differences in possibilities and difficulties of implementing business intelligence (BI)-systems among small IT-enterprises. BI-systems support enterprises in decision-making. To answer the aim of this thesis, theories regarding organizational factors determining a successful implementation of a BI-system were used. Theories regarding components of BI- systems, data warehouse (DW) and online analytical processing (OLAP) were also used. These components enable the decision-support provide
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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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Books on the topic "Small business data processing"

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Mehta, Mayur. Small business computer systems project workbook. 2nd ed. Dubuque, Iowa: Kendall/Hunt Pub., 1992.

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Xiradis-Aberle, Lori. How to computerize your small business. New York: Wiley, 1995.

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Aziz, Khalid. The Barclays guide to computing for the small business. Oxford, UK: Blackwell, 1990.

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Hudson, R. W. Business computer systems: A guide for students and small businesses. London: McGraw-Hill Book Co., 1986.

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Padol, Brian A. Computerizing your small business made simple. New York: Doubleday, 1993.

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Beckman, Joseph S. The small business computer guide. Boston: Digital Press, 1995.

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Harriman, Cynthia. The Macintosh small business companion. New York: Brady, 1989.

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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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Chung, Roger Loi Hing. Application of distributed data processing systems in small retail business. [s.l: The Author], 1991.

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Book chapters on the topic "Small business data processing"

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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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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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Silvander, Johan, and Shailesh Pratap Singh. "Validating Trust in Human Decisions to Improve Expert Models Based on Small Data Sets." In Lecture Notes in Business Information Processing, 256–67. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36757-1_17.

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Beyel, Harry H., and Wil M. P. van der Aalst. "Creating Translucent Event Logs to Improve Process Discovery." In Lecture Notes in Business Information Processing, 435–47. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27815-0_32.

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AbstractEvent logs capture information about executed activities. However, they do not capture information about activities that could have been performed, i.e., activities that were enabled during a process. Event logs containing information on enabled activities are called translucent event logs. Although it is possible to extract translucent event logs from a running information system, such logs are rarely stored. To increase the availability of translucent event logs, we propose two techniques. The first technique records the system’s states as snapshots. These snapshots are stored and linked to events. A user labels patterns that describe parts of the system’s state. By matching patterns with snapshots, we can add information about enabled activities. We apply our technique in a small setting to demonstrate its applicability. The second technique uses a process model to add information concerning enabled activities to an existing traditional event log. Data containing enabled activities are valuable for process discovery. Using the information on enabled activities, we can discover more correct models.
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Piiroinen, Riina, Ilkka Jormanainen, and Markku Tukiainen. "Positive Customer Experience is Enhanced by Effective Agile Practices." In Lecture Notes in Business Information Processing, 386–99. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53227-6_27.

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AbstractThis paper explores the connection between agile methods and digital customer experience, aiming to identify what are the hallmarks of a good agile way of working. The research is an exploratory case study consisting of interviews and analysis. In summary, the research suggests that the hallmarks of a good agile way of working are 1) breaking down tasks into sufficiently small pieces, 2) defining tasks precisely and releasing them to production evenly, 3) continuous improvement, and 4) good planning of sprints. These good agile operating methods can be seen in the development measures as a short lead time, a short time to export to production, low errors, and a high deployment frequency. According to the findings, these metrics are linked to the Net Promoter Score (NPS), a measure of customer experience. A team with sufficient technical capabilities team that utilizes agile operating methods is able to produce the desired things for customers at exactly the right time while constantly improving, so that the NPS is positive, and its direction is improving. On the other hand, the team’s bad operating methods are also visible in the NPS meter – in this case, the NPS fluctuates strongly. Teams can obtain insightful supplementary data about their own practices by keeping track of development measures.
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Chaston, Ian. "Assessing and processing information." In Small Business Marketing, 19–41. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-32601-0_2.

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Manning, Anna. "Cleansing Your Data." In Databases for Small Business, 145–65. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0277-7_10.

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Manning, Anna. "Analyzing Your Data." In Databases for Small Business, 197–216. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0277-7_13.

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Manning, Anna. "Collecting Your Data." In Databases for Small Business, 131–44. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0277-7_9.

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Stravinskienė, Auksė, and Saulius Gudas. "Data Mining for Small Organizations." In Business Information Systems Workshops, 102–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15402-7_15.

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Conference papers on the topic "Small business data processing"

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Ragab, Rasha, and Abdulrahman Altahhan. "Fine-Tuning of Small/Medium LLMs for Business QA on Structured Data." In 5th International Conference on Advanced Natural Language Processing. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.141005.

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Enabling business users to directly query their data sources is a significant advantage for organisations. The majority of enterprise data is housed within databases, requiring extensive procedures that involve intermediary layers for reporting and its related customization. The concept of enabling natural language queries, where a chatbot can interpret user questions into database queries and promptly return results, holds promise for expediting decision-making and enhancing business responsiveness. This approach empowers experienced users to swiftly obtain data-driven insights. The integrati
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Menkhoff, Thomas, and Gopalakrishnan Surianarayanan. "How Singapore’s Manufacturing Small and Medium Size Enterprises Embrace Industry 4.0." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003516.

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Industry 4.0 adoption is expected to profoundly impact the entire spectrum of industries, especially in manufacturing. By using a confluence of automation, data, and digitalisation, Industry 4.0 aims to radically transform how organisations operate presently while increasing productivity, enhancing flexibility, reducing costs, and improving efficiency. More companies are strategically embracing Industry 4.0 approaches to leverage opportunities arising from newly connected computers and increasingly autonomous automation systems (e.g., robotics), equipped with intelligent machine learning algor
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Jercinovic, Silvije. "Dynamic strategic marketing adjustment of the vegetable producers sector under Covid crisis conditions." In 23rd International Scientific Conference. “Economic Science for Rural Development 2022”. Latvia University of Life Sciences and Technologies. Faculty of Economics and Social Development, 2022. http://dx.doi.org/10.22616/esrd.2022.56.011.

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The paper deals with the issue of the pandemic and its impact on the work of vegetable producers in the Republic of Croatia in the domain of their marketing activities. Namely, the changed business circumstances because of changing daily life and consumption patterns, forced entrepreneurs, including vegetable producers, to revise existing businesses and marketing strategies in terms of adjustment and in that way to take new measures and activities related to distribution and sales channels. The purpose of this paper is to gain insight into the most effective ways to promote and sell vegetables
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Erdmann, Matthias, Sebastian Sauer, María Esperanza Suárez Ruz, and María Rosario Perelló Marín. "A bibliometric analysis on reciprocal human-machine-interactions." In 5th International Conference. Business Meets Technology. València: Editorial Universitat Politècnica de València, 2023. http://dx.doi.org/10.4995/bmt2023.2023.16728.

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Research into artificial intelligence is not a very young field; its precursors can be traced back as far as the 16th century. Today's technical development, however, is virtually leaping forward, with new intelligent chat systems and social robots playing no small part in this. This is revolutionizing a wide range of scientific and social fields. The very large publication numbers in this field illustrate this as well. In order for academics and scientists to keep track of the discourse in the field, the representatives of the field, the publications as well as the topics and their future dev
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Salih, Sara, and Kennedy Njenga. "Big Data for Small Business." In 2019 Open Innovations (OI). IEEE, 2019. http://dx.doi.org/10.1109/oi.2019.8908199.

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Frings, Sandra, and Holger Kett. "Towards a Vision and Essential Steps in the Digital Transformation of Product Service Systems: A Scenario based Approach." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004323.

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For traditional product manufacturers, digital transformation of products and services means dealing with challenges with which they have not dealt before. Especially the different measures to be taken on a business, organizational, technical and IT level and the competencies needed when advancing from traditional to smart products and services are often unclear for strategists in those companies. In our work, focusing on the early phase of smartification, we propose a support method for small and medium sized enterprises to formulate an ambitious product vision and derive a path of useful ste
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Palmer, Carl A., Nicholos A. Mackos, and Michael J. Roemer. "Approach to Monitor and Assess the Quality of Sensor Data in Support of Calibration and Condition Based Maintenance for Turbine Powered Navy Vessels." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-28251.

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This paper describes a flexible, widely applicable sensor health monitoring system, as developed in partnership with Northrop Grumman Ship Systems (NGSS) under a small business innovative research contract for the US Navy. Traditional signal processing techniques were employed in conjunction with data driven models and fault identification and classification techniques to provide a robust analysis of sensor health. Key aspects of the system include: • Analysis of both high and low bandwidth data; • Modules that assess a sensor’s performance on an individual basis. These are designed to detect
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Khalid, Ammar. "Cloud Computing: Applying Issues in Small Business." In 2010 International Conference on Signal Acquisition and Processing (ICSAP). IEEE, 2010. http://dx.doi.org/10.1109/icsap.2010.78.

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Stankov, Ivan. "Business Intelligent Systems Data Processing." In 2020 28th National Conference with International Participation (TELECOM). IEEE, 2020. http://dx.doi.org/10.1109/telecom50385.2020.9299542.

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Gupta, Himanshu, C. Rajmohan, Sameep Mehta, and Kiran Pulapa. "On Efficiently Processing Business Lineage Queries." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9377973.

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Reports on the topic "Small business data processing"

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Adler-Golden, Steven. Fast Data Processing for Hyperspectral Sensors on Small Platforms. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1638363.

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Kurmann, André, Étienne Lalé, and Lien Ta. Measuring Small Business Dynamics and Employment with Private-Sector Real-Time Data. CIRANO, August 2022. http://dx.doi.org/10.54932/xsph3669.

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The COVID-19 pandemic has led to an explosion of research using private-sector datasets to measure business dynamics and employment in real-time. Yet questions remain about the representativeness of these datasets and how to distinguish business openings and closings from sample churn – i.e., sample entry of already operating businesses and sample exits of businesses that continue operating. This paper proposes new methods to address these issues and applies them to the case of Homebase, a real-time dataset of mostly small service-sector sector businesses that has been used extensively in the
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McCall, Jamie, Khaliid Scott, and Urmi Bhatt. Small Business Stories: Surviving and Thriving Amidst the Pandemic. Carolina Small Business Development Fund, August 2021. http://dx.doi.org/10.46712/covid.stories.

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The COVID-19 pandemic will leave an enduring mark on North Carolina’s small business community. Using a phenomenological framework, we conducted a series of in-depth semi-structured interviews with small business owners about how they addressed the pandemic’s challenges. Four central themes emerged that illustrate the complexity and nuance of small business resiliency. Our data suggest that to survive and thrive, entrepreneurs had to: (1) be adaptable and willing to pivot, (2) have an entrepreneurial spirit, (3) leverage their social capital, and (4) have the knowledge and ability to apply for
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Young, Andrew, Matthew Higgins, Donald Lacombe, and Briana Sell. The Direct and Indirect Effects of Small Business Administration Lending on Growth: Evidence from U.S. County-Level Data. Cambridge, MA: National Bureau of Economic Research, October 2014. http://dx.doi.org/10.3386/w20543.

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Misera, Lucas J. 2023 Firms in Focus: Findings from the 2022 Small Business Credit Survey. Federal Reserve Bank of Cleveland, May 2023. http://dx.doi.org/10.55350/sbcs-20230509.

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Firms in Focus is a series of chartbooks presenting Small Business Credit Survey data across various business and owner demographic characteristics, as well as by state and metropolitan statistical area (MSA).
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Sabatelle, Jason, Adonis Caramintzos, and Jamie McCall. Small Business COVID-19 Lending Programs: Fostering Social Capital and Financial Stability. Carolina Small Business Development Fund, January 2021. http://dx.doi.org/10.46712/covid.lending.

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In times of crisis, investment in entrepreneurial ventures tends to decline. Early data suggest the decline in small business investments due to the pandemic will be historic in scope and depth. Community development lending practices aim to sustain small firms until they can resume their normal course of business. Affordable financing provides capital injections into small businesses which can help to cushion against COVID-19 induced economic shocks. Using Carolina Small Business Development Fund’s lending data as a case study, this analysis considers the effect of COVID-19 response programs.
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Angelelli, Pablo, Rebecca Moudry, and Juan J. Llisterri. Institutional Capacities for Small Business Policy Development in Latin America and the Caribbean. Inter-American Development Bank, December 2006. http://dx.doi.org/10.18235/0008873.

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This study provides a quantitative description of MSMEs in Latin America and the Caribbean. It highlights the quality of the information available in the region and, in doing so, also identifies gaps in the data. The study also presents a comparative analysis of the capacity of national MSME institutions to support small business development.
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Wiersch, AnnMarie, Barbara J. Lipman, Kim Wilson, and Lucas J. Misera. Clicking for Credit: Experiences of Online Lender Applicants from the Small Business Credit Survey. Federal Reserve Bank of Cleveland, August 2022. http://dx.doi.org/10.26509/frbc-cd-20220816.

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This report presents findings on the experiences of small businesses seeking credit from online lenders, based on data from the 2021 Small Business Credit Survey (SBCS). According to findings, firms that apply to online lenders are more likely to be newer and have fewer employees, lower revenues, and weaker credit scores. In addition, Black- and Hispanic-owned firms are more likely than white- and Asian-owned firms to report that they applied to an online lender. Furthermore, contrary to prior SBCS findings, online-lender applicants were less likely than bank applicants to be approved for the
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McCall, Jamie, Natalie Prochaska, and James Onorevole. Identifying Reasons for Small and Medium-Sized Firm Closures in North Carolina: An Exploratory Framework Leveraging Administrative Data. Carolina Small Business Development Fund, December 2022. http://dx.doi.org/10.46712/firm.closure.reasons.

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Business failure is a natural part of the development lifecycle. In a healthy economy, the formations and dissolutions of small firms drive innovation through the process of creative destruction. However, an excessive level of involuntary closures lowers both economic mobility and community social capital. We partnered with the North Carolina Secretary of State’s Office (NCSOS) to identify factors that might be driving involuntary firm closures using administrative data. This analysis outlines our recommendation to use an exploratory open-ended survey instrument which targets dissolved firm ow
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Wiersch, AnnMarie, Scott Lieberman, and Barbara J. Lipman. Click, Submit 2.0: An Update on Online Lender Applicants from the Small Business Credit Survey. Federal Reserve Bank of Cleveland, December 2019. http://dx.doi.org/10.26509/frbc-cd-20191218.

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This study presents an analysis of data from the 2018 Small Business Credit Survey. The findings shed light on the types of small firms using online lenders, their application experiences, and credit outcomes. Among the main findings: Firms that apply at online lenders are more likely to be smaller, have lower credit scores, report more financial challenges, and be less profitable than firms that apply at only traditional lenders. In addition, black-owned and Hispanic-owned firms are more likely than white-owned and Asian-owned firms to report they applied at an online lender. Furthermore, onl
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