Big Data Transforming Small and Medium Enterprises

2015 ◽  
pp. 106-115
Author(s):  
Donna M. Schaeffer ◽  
Patrick C. Olson
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Business Models ◽  
Small And Medium Enterprises ◽  
Big Data Analytics ◽  
Fortune 500 ◽  
Customer Interaction ◽  
The Media ◽  
Medium Enterprises ◽  
Data Transforming

The terms big data, analytics, and business intelligence are often used in the media, with much attention on Fortune 500 enterprises. Small and medium-sized businesses (SMEs) also handle large amounts of data, and it is important to their decision making and planning. This chapter explores options for handling Big Data in SMEs. It presents a framework that considers not just the volume of data, but the variety of types of data, the velocity in which data is created and transmitted, the importance of data veracity, and its value in transforming small and medium-sized enterprises. SMEs need to work with big data, and doing so will impact their business models and require them transform themselves. Their transformation will be ongoing because all indicators show that the volume of data is rising and will continue to do so simply because of the trends related to customer interaction.

Big Data Transforming Small and Medium Enterprises

Web Services ◽  
2019 ◽  
pp. 1368-1377
Author(s):  
Donna M. Schaeffer ◽  
Patrick C. Olson
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Business Models ◽  
Small And Medium Enterprises ◽  
Big Data Analytics ◽  
Fortune 500 ◽  
Customer Interaction ◽  
The Media ◽  
Medium Enterprises ◽  
Data Transforming

The terms big data, analytics, and business intelligence are often used in the media, with much attention on Fortune 500 enterprises. Small and medium-sized businesses (SMEs) also handle large amounts of data, and it is important to their decision making and planning. This chapter explores options for handling Big Data in SMEs. It presents a framework that considers not just the volume of data, but the variety of types of data, the velocity in which data is created and transmitted, the importance of data veracity, and its value in transforming small and medium-sized enterprises. SMEs need to work with big data, and doing so will impact their business models and require them transform themselves. Their transformation will be ongoing because all indicators show that the volume of data is rising and will continue to do so simply because of the trends related to customer interaction.

scholarly journals JAPAN’S EXPERIENCE IN USING ANALYTICS OF BIG DATA TO REDUCE CREDIT RISK IN FINANCING SMALL AND MEDIUM ENTERPRISES

2019 ◽  
pp. 182-187
Author(s):  
S. Matveevskii
Keyword(s):  
Big Data ◽  
Credit Risk ◽  
Data Analytics ◽  
Small And Medium Enterprises ◽  
Big Data Analytics ◽  
Subject Area ◽  
Development Bank ◽  
Financial Model ◽  
Bank Account ◽  
Medium Enterprises

The experience of Japanese experts in using big data analytics to reduce credit risk when financing small and medium-sized enterprises has been reviewed. Three multiple regression models were used to predict the likelihood of medium-sized enterprises default. The results of the study have showed, that the bank account model complements the financial model well, which will allow credit organizations to increase lending to medium-sized enterprises. It has been concluded, that the use of big data analytics requires the development of an information model of the subject area, which will provide a significant improvement in lending to medium-sized enterprises in Russia. The experience of the Asian Development Bank in researching the activities of medium-sized enterprises shows the practical possibility of using big data analytics by any development bank.

Big data analytics adoption model for small and medium enterprises

2020 ◽  
Vol 11 (4) ◽  
pp. 483-513 ◽  
Author(s):  
Parisa Maroufkhani ◽  
Wan Khairuzzaman Wan Ismail ◽  
Morteza Ghobakhloo
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Structural Equation ◽  
Small And Medium Enterprises ◽  
Big Data Analytics ◽  
Mediation Effect ◽  
Unified Framework ◽  
Content Type ◽  
Medium Enterprises ◽  
The Relationship

Purpose Big data analytics (BDA) is recognized as a turning point for firms to improve their performance. Although small- and medium-sized enterprises (SMEs) are crucial for every economy, they are lagging far behind in the usage of BDA. This study aims to provide a single and unified model for the adoption of BDA among SMEs with the integration of the technology–organization–environment (TOE) model and resource-based view. Design/methodology/approach A survey of 112 manufacturing SMEs in Iran was conducted, and the data were analysed using structural equation modelling to test the model of this study. Findings The results offer evidence of a BDA mediation effect in the relationship between technological, organizational and environmental contexts, and SMEs performance. The findings also demonstrated that technological and organizational elements are the more significant determinants of BDA adoption in the context of SMEs. In addition, the result of this study confirmed that BDA adoption could enhance the financial and market performance of SMEs. Practical implications Providing a single unified framework of BDA adoption for SMEs enables them to appreciate the importance of most influential elements (technology, organization and environment) in the adoption of BDA. Also, this study may encourage SMEs to be more willing to use BDA in their businesses. Originality/value Although there are studies on BDA adoption and firm performance among large companies, there is a lack of empirical research on SMEs, in particular, based on the TOE model. SMEs differ from large companies in terms of the availability of resources and size. Therefore, this study aimed to initiate a conceptual framework of BDA adoption for SMEs to assist them to be able to take advantage of the adoption of such technology.

scholarly journals Big data analytics-A review of data-mining models for small and medium enterprises in the transportation sector

2018 ◽  
Vol 8 (3) ◽  
pp. e1238 ◽  
Author(s):  
Siti Aishah Mohd Selamat ◽  
Simant Prakoonwit ◽  
Reza Sahandi ◽  
Wajid Khan ◽  
Manoharan Ramachandran
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Data Analytics ◽  
Small And Medium Enterprises ◽  
Big Data Analytics ◽  
Transportation Sector ◽  
Medium Enterprises

Risks in Adoption and Implementation of Big Data Analytics

2021 ◽  
Vol 10 (3) ◽  
pp. 1-11
Author(s):  
Rajasekhara Mouly Potluri ◽  
Narasimha Rao Vajjhala
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Data Privacy ◽  
Small And Medium Enterprises ◽  
Big Data Analytics ◽  
Small Companies ◽  
Privacy And Security ◽  
Adoption And Implementation ◽  
Research Outcome ◽  
Medium Enterprises

The research investigates the risks in adopting and implementing big data analytics in Indian micro, small, and medium enterprises (MSMEs). The researchers outlined a survey questionnaire for accumulating reactions from managers working in 50 Indian micro, small, and medium-sized enterprises on behalf of five vital commercial sectors. The application and use of big data analytics offer several significant problems for small companies as an investment in hardware and software resources are substantial. This study's findings provided experimental evidence on five critical challenges that Indian MSMEs face while adopting and implementing big data analytics: lack of human resources, data privacy and security, shortage of technological resources, deficiency of awareness, and financial implications. This study's findings emphasize the challenges that MSMEs face while leveraging big data analytics benefits. The research outcome will promote MSMEs' organizational leadership in planning and developing short-term and long-term information systems strategies.

Model Pemasaran Usaha Mikro Kecil Dan Menengah (Umkm) Berbasis Online Dalam Mendukung Pariwisata

2017 ◽  
Vol 17 (1) ◽  
pp. 66
Author(s):  
Muhammad Tajuddin ◽  
Abdul Manan
Keyword(s):  
Information Technology ◽  
Small And Medium Enterprises ◽  
System Development ◽  
Internet Technology ◽  
Raw Material ◽  
Integrated Marketing ◽  
International Scope ◽  
Data Base Design ◽  
The Media ◽  
Medium Enterprises

West Nusa Tenggara ’NTB’ is a region of the golden triangle stripe of tourism destination located between Komodo island and Tana Toraja. As the industry backing for small and middle scale businesses getting grow up and have got governmental supporting since economical crises hit Indonesia at the end 1997. In fact, many of those who have not yet optimize the information technology (IT) in running their business. The approach to meet the Small and Medium Enterprises (SMEs) with the proper customer or to find the proper raw material seller is through the media.  Development of internet technology is so rapid, it is a necessity of SMEs using it as a business communications medium, because Internet utility for e-commerce complement has long been developed in both national and international scope.  Furthermore, the research elaborates the integrated e-commerce model and SMEs as an information technology-based model of integrated marketing strategy besides, software creation and its implementation on SMEs in Mataram municipality.  E-commerce and SMEs were designed to use System Development Life Cycle (SDLC) concerning the safety sistem, flowcart diagram and data base design aspects.

A Study on the Analytics Tool Used in Decision Making at Small and Medium Enterprise

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Vivek N. Bhatt
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Small And Medium Enterprises ◽  
Small Scale ◽  
Know How ◽  
Decision Making Styles ◽  
Routine Basis ◽  
Medium Enterprise ◽  
Decision Making Processes ◽  
Medium Enterprises

The article focuses on the study of prevailing decision making styles of Small Scale Industrial (SSI) Units. It presents data collected from 200 SSI units from Bhavnagar – a coastal city of Gujarat, India. The objective of writing the article is to depict heuristic decision patterns of small and medium enterprises, and the rare use of analytical or statistical business intelligence tools in decision making processes. It would be interesting to study the design of decision taken on routine basis in small units, poorly equipped with technology and technical know-how. The paper is descriptive in terms, and lays a lucid picture of present decision making processes.

scholarly journals From Barriers to Enablers: The Role of Organizational Learning in Transitioning SMEs into the Circular Economy

2021 ◽  
Vol 13 (3) ◽  
pp. 1021
Author(s):  
Sara Scipioni ◽  
Meir Russ ◽  
Federico Niccolini
Keyword(s):  
Organizational Learning ◽  
Circular Economy ◽  
Business Models ◽  
Small And Medium Enterprises ◽  
Sustainable Business ◽  
Fine Grained ◽  
Contextual Elements ◽  
Transfer And Retention ◽  
Multi Level ◽  
Medium Enterprises

To contribute to small and medium enterprises’ (SMEs) sustainable transition into the circular economy, the study proposes the activation of organizational learning (OL) processes—denoted here as multi-level knowledge creation, transfer, and retention processes—as a key phase in introducing circular business models (CBMs) at SME and supply chain (SC) level. The research employs a mixed-method approach, using the focus group methodology to identify contextual elements impacting on CBM-related OL processes, and a survey-based evaluation to single out the most frequently used OL processes inside Italian construction SMEs. As a main result, a CBM-oriented OL multi-level model offers a fine-grained understanding of contextual elements acting mutually as barriers and drivers for OL processes, as possible OL dynamics among them. The multi-level culture construct—composed of external stakeholders’, SC stakeholders’, and organizational culture—identify the key element to activate CBM-oriented OL processes. Main implications are related to the identification of cultural, structural, regulatory, and process contextual elements across the external, SC, and organizational levels, and their interrelation with applicable intraorganizational and interorganizational learning processes. The proposed model would contribute to an improved implementation of transitioning into the circular economy utilizing sustainable business models in the construction SMEs.

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