A quantitative correlation coefficient mining method for business intelligence in small and medium enterprises of trading business

2012 ◽  
Vol 39 (7) ◽  
pp. 6279-6291 ◽  
Author(s):  
C.F. Cheung ◽  
F.L. Li
Keyword(s):  
Correlation Coefficient ◽  
Business Intelligence ◽  
Small And Medium Enterprises ◽  
Mining Method ◽  
Quantitative Correlation ◽  
Medium Enterprises

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.

Analysis of Business Intelligence Solutions in the SME Sectors

2015 ◽  
Vol 795 ◽  
pp. 123-128
Author(s):  
Leszek Kiełtyka ◽  
Klaudia Smoląg
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Complex Analysis ◽  
Small And Medium Enterprises ◽  
Decision Makers ◽  
Current Events ◽  
Decision Making Processes ◽  
Barriers To Implementation ◽  
Medium Enterprises ◽  
Support Decision Making

Business intelligence (BI) solutions are aimed to help managers make decisions in enterprises. Through complex analysis, decision-makers are supported in building strategies of operation. Managers in small and medium-sized enterprises (SME) are also becoming more aware of the fact that conventional methodology of analysis of current events is insufficient. Therefore, the need arises for using the solutions that support the processes of data analysis, finding relationships between each other or pointing to important tendencies and anomalies. These systems were primarily oriented at larger enterprises. However, BI solutions are more and more often adjusted to SME enterprises, offering a complex tool to support decision-making processes. This paper presents key stages in evolution of BI systems and characterizes selected BI systems dedicated to small and medium enterprises (SMEs). Substantial barriers to implementation of BI systems in SMEs were also indicated.

scholarly journals Integrating Business Analytics into SMEs in Mexico: Challenges and Opportunities

2016 ◽  
pp. 41
Author(s):  
Jorge Luis Fernandez ◽  
Juan Edel Gutierrez ◽  
Luis A. Castro ◽  
Luis-Felipe Rodríguez
Keyword(s):  
Business Intelligence ◽  
Small And Medium Enterprises ◽  
Business Owners ◽  
Business Analytics ◽  
Trial And Error ◽  
Long Run ◽  
Starting Point ◽  
Challenges And Opportunities ◽  
Medium Enterprises

Entrepreneurs in Mexico start their businesses out of need, based on good ideas or to accomplish a “dream”. Nonetheless, starting out a business is not an easy task. Usually, business owners lack either professional background or financial knowledge, and focus only on keeping the business afloat, while trying to obtain profits. Business Intelligence and Analytics serve a great purpose in the growth of any company, but it is usually left out or ignored by small or medium enterprises, due to a lack of knowledge or because owners do not consider it necessary for a mid to long term plan. In the long run, businesses usually fail to achieve profit or cannot continue, and end up not knowing what went wrong. The information that a business generates could serve as a starting point for good and solid decision making, but the culture that dominates small and medium enterprises on any industry leaves important information unrecorded or unattended, forcing them to work based only on trial and error.

Impact of ICT Adoption on Small and Medium Enterprises in Ilala District, Dar Es Salaam, Tanzania

2021 ◽  
pp. 13-34
Author(s):  
Masese Benard
Keyword(s):  
Correlation Coefficient ◽  
Growth And Development ◽  
Small And Medium Enterprises ◽  
Strong Relationship ◽  
Dar Es Salaam ◽  
Pearson’S Correlation ◽  
Pearson’S Correlation Coefficient ◽  
Pearson's Correlation ◽  
Medium Enterprises ◽  
Pearson's Correlation Coefficient

ICT plays a critical role in the growth and development of SMEs. Tanzania is a developing country where small and medium enterprises (SMEs) are perceived as the engine of growth, yet they have not attained the expected level. The adoption of ICT enables the SMEs to be more competitive. ICT plays a very important role in the current knowledge economy. The ICT sector presents a tremendous opportunity for economic growth. If ICT is adopted, it will significantly improve the performance and productivity of SMEs. The problem facing most of the SMEs is partial or non-adoption of technology. They have to adopt ICT in order to remain competitive and be competitive. The study investigates how the adoption of ICT could contribute to the success of small and medium enterprises (SMEs), examines impact of information and communication technologies in small and medium enterprises growth and development. Technology acceptance model was adopted by the researcher. The case study and cross-sectional survey research design was used to generate data. This is because with such a design it is easy to collect data in a short period of time from many respondents. The researcher used questionnaires to gather data from SMEs institutions covering Ilala district in Dar es Salaam, Tanzania. The researcher used the sample size of 82 respondents. Simple random sampling was used in sampling SMEs in Ilala district. The data collected from the survey was analyzed using simple percentage, mean, standard deviation, and regression analysis. The results show that T1 and T3 Pearson's correlation coefficient(r) equals .231*, indicating a strong relationship in terms of correlation. p< .037 and indicates that the coefficient is significantly different from 0. We can conclude that there is correlation between T1 and T3. In particular, it seems that the more the use of computer network it stimulates the growth and development of the SMEs (r = .231, p <.037). Also T1 and T2 Pearson's correlation coefficient(r) equals .196*, indicating a strong relationship in terms of correlation. p< .077 and indicates that the coefficient is significantly different from 0 (r = .196, p <.077). ICT has great potential in the growth and development of SMEs which is still untapped in Ilala district. The adaption of ICT in SMEs business has helped to transform business to another level, sharpen market intelligence, improve efficiency, reduce supply chain from B2C, B2B, and increase customer satisfaction.

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