scholarly journals Big Data for Business Growth in Small and Medium Enterprises (SMEs)

2021 ◽  
pp. 43-54
Author(s):  
Rabia Ahmed Benyahia
Keyword(s):  
Big Data ◽  
Small And Medium Enterprises ◽  
Business Growth ◽  
Medium Enterprises

Big data-driven supply chain and performance: a resource-based view

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shampy Kamboj ◽  
Shruti Rana
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Small And Medium Enterprises ◽  
Data Driven ◽  
Equation Modeling ◽  
Firm Age ◽  
Content Type ◽  
Sustainable Performance ◽  
Medium Enterprises

PurposeThe main objective of this paper is to study the role of supply chain performance (SCP) as a mediator between big data-driven supply chain (BDDSC) and firm sustainable performance. In addition, the role of firm age as a moderator between BDDSC and SCP as well as between SCP and firm sustainable performance has also been explored.Design/methodology/approachThe 200 managers of medium or senior level positions in micro, small and medium enterprises (MSMEs) located at Delhi-NCR have been contacted. Further, collected data have been confirmed with confirmatory factor analysis (CFA). In this paper, structure equation modeling (SEM) has been employed to empirically check the proposed hypotheses and their relationships.FindingsThe findings confirmed that SCP mediates the link between BDDSC and firm sustainable performance. Additionally, firm age moderates the association between BDDSC and SCP as well as between SCP and firm sustainable performance.Research limitations/implicationsThe role of SCP and firm age between BDDSC and sustainable performance have been examined in the context of MSMEs in Delhi-NCR and thereby limit the generalization of results to other industries and country contexts.Originality/valueThe present study adds to the existing literature via recognizing the blackbox using SCP and firm age to comprehend BDDSC and firm sustainable performance relationship.

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.

E-Commerce in Small and Medium Enterprises in Sri Lanka

2018 ◽  
Vol 10 (2) ◽  
pp. 54-68
Author(s):  
Kennedy D Gunawardana
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Small And Medium Enterprises ◽  
Business Organization ◽  
Business Growth ◽  
Business World ◽  
Critical Success ◽  
Potential Benefits ◽  
Medium Enterprises ◽  
The Relationship

The growth of information technology in the business world is spreading at a phenomenal rate. The success of a business organization stands at the usage of IT in their business. Growth of e-commerce is the new born business method, which has originated through an extensive usage of IT in their business. This study will focus on the level of adoption of e-commerce in a population of 30 SMEs under the BOI, the relationship between firm-based characteristics and the adoption of e-commerce and also more importantly find out the critical success factors and discover potential benefits of adoption of e-commerce in SMEs. The results on the adoption of e- commerce showed a significant relationship with the two firm-based characteristics. That is management involvement and adoption of IT. The study also identified e- marketing and supplier service as the critical success factors in adoption of e-commerce.

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.

The effects of education and training, management supervision on development of entrepreneurship attitude and growth of small and micro enterprise

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sri Indarti
Keyword(s):  
Small And Medium Enterprises ◽  
Growth Management ◽  
Education And Training ◽  
Positive Contribution ◽  
Business Growth ◽  
Content Type ◽  
Funding Program ◽  
Medium Enterprises ◽  
Corporate Social ◽  
And Training

Purpose The purpose of this study is to analyze the effect of education and training and management supervision on the development of entrepreneurship attitude and growth of small and micro enterprises (SMEs) developed by state-owned enterprises (SOEs) in Pekanbaru City. Design/methodology/approach This research focuses on a discussion of the effects of education and training management oversight of entrepreneurial attitudes and business growth from the distribution of PKBL funds as one attitude of corporate social responsibility (CSR) and the development of small and micro entrepreneurs in Riau Province by selecting three SOEs companies that distribute CSR funding program in Pekanbaru City, namely, PT. Jasa Raharja, PT. Angkasa Pura and PT. Pegadaian Riau region, whereas the scope of this study includes a review of material on the beneficiary of PKBL from 2016 to 2017. Findings Education and training conducted by SOEs toward micro, small and medium enterprises (MSMEs) entrepreneurs do not give a positive contribution to the business growth. Management supervision that has been conducted so far has not contributed to the growth of MSMEs business. The entrepreneurship attitude of MSMEs entrepreneurs determines the success of MSMEs. Attitude not only directly contributes to the growth of business but also indirectly mediates education and training in making a positive contribution to the development and growth of the business. Attitude also mediates the management supervision in splitting the growth of MSMEs business. Originality/value No previous study has comprehensively studied the education and training and management supervision toward entrepreneurship attitudes and its implications to business growth, especially in Riau, Indonesia.

Sustainable Energy and the Growth of Small and Medium Enterprises in Ghana

2016 ◽  
pp. 773-790
Author(s):  
Ruby Melody Agbola ◽  
Evans Sokro
Keyword(s):  
Survey Design ◽  
Small And Medium Enterprises ◽  
Strong Positive Correlation ◽  
Business Growth ◽  
Power Outages ◽  
Fuel Prices ◽  
Medium Enterprises ◽  
The Impact ◽  
Petroleum Fuels

The chronic shortage of petroleum fuels, especially gasoline and LPG, and the prolonged and indiscriminate power outages coupled with the recent increment in fuel prices appear to be taking their toll on Ghanaian businesses; hence, some have questioned the degree of security, reliability, and long-term sustainability of the country's energy need. The chapter assesses the impact of the recent power outages on the growth and profitability of Small and Medium Enterprises (SMEs). The study employed a survey design consisting of structured questionnaires involving a total of 190 SMEs across the country. An eight item Likert scale used to assess the impact of the energy crisis on three key measures of business growth revealed a strong positive correlation between the power outages and reduced profitability but a weak correlation with business expansion by way of market development and a statistically insignificant relationship between the power outages and growth in number of employees.

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