Forum - Small business market research: Examining the human factor

2007 ◽  
Vol 49 (5) ◽  
pp. 551-571 ◽  
Author(s):  
Robert P. Hamlin
Keyword(s):  
Small Business ◽  
Market Research ◽  
Human Factor ◽  
Business Market

How Can Internet Service Providers Tap into the Potentially -Lucrative Small Business Market?

2011 ◽  
pp. 339-355
Author(s):  
Avinash Waikar
Keyword(s):  
Small Business ◽  
Small Businesses ◽  
Service Providers ◽  
Organizational Characteristics ◽  
Survey Method ◽  
Internet Service Providers ◽  
Internet Service ◽  
Business Market ◽  
Perceived Importance

Small businesses need Internet service to be competitive, and their spending on IT activities continues to grow. How can Internet Service Providers tap into this potentially lucrative market? This study attempts to identify Internet service features that are important to small businesses. Specifically, it used a survey method to explore the relationships between the importance of various features and organizational characteristics of small businesses, for example, size and type of business. The results show that the size of business affects the perceived importance placed on certain features, while the type of business does not. Implication of this finding for packaging Internet service is discussed.

HMO's and the Small Business Market

1991 ◽  
Vol 5 (1) ◽  
pp. 125-137
Author(s):  
Gail Silverstein
Keyword(s):  
Small Business ◽  
Business Market

scholarly journals Methods of Machine-Aided Training in Small Business: Content and Management

2019 ◽  
pp. 83-95
Author(s):  
S. A. Tishchenko ◽  
M. A. Shakhmuradian
Keyword(s):  
Small Business ◽  
Data Storage ◽  
Business Processes ◽  
Human Factor ◽  
Small Enterprises ◽  
Training Algorithms ◽  
Standard Methods ◽  
Key Characteristics ◽  
Analytical Review ◽  
Business Optimization

The article provides key characteristics of standard methods of machine-aided training used by companies in operative business processes. Within the frames of home orientation to the innovation business development, digital economy and infrastructure for data storage the human factor becomes essential. The use of methods of artificial intellect by employees of small enterprises faces obstacles that imply personnel ignorance concerning strategic functionality of available today algorithms of business processes. Small commercial enterprises encounter the problem that they do not know the key instrumental principles of functioning and use of machine-aided training algorithms. At the same time business processes of the enterprise could be seriously improved through implementing algorithms of machine-aided training. The authors conducted a formal and analytical review of potential means for small business optimization. They described types of algorithms and models of machine-aided training, such as multiple regressive model, logistic regression, etc., as well as instrumental problems of their use by enterprise analysts and developers. Recommendations were prepared aimed at use of these models in order to raise the efficiency of small commercial enterprises.  

Potential of Using the Results of Market Observations in Forecasting Employment in Small Businesses in Russia

2021 ◽  
Vol 28 (2) ◽  
pp. 42-53
Author(s):  
I. S. Lola ◽  
A. B. Manukov
Keyword(s):  
Small Business ◽  
Small Businesses ◽  
Point Of View ◽  
Retail Trade ◽  
Entrepreneurial Activity ◽  
Common Source ◽  
Short Term ◽  
Wholesale Trade ◽  
Employment Level ◽  
Business Market

The article presents results of analysis of the predictive potential of short-term forecast estimates of employment level in the small business segment by four sectors of the Russian economy: manufacturing, construction, wholesale and retail trade.From the authors’ point of view, one of the promising sources of data for such estimates can be found in market observations of entrepreneurial activity, which now are a common source of economic information in national as well as international practice. These surveys play an important role in measuring the dynamics of employment in countries and industries, being a supplementary statistical tool.The objective of the work was to prove the existence of a stable statistically significant relationship between the predicted estimates of employment based on business (market) surveys and the dynamics of the corresponding statistical macro-aggregates in various sectors, and applicability of predictive models of employment change based on results of business (market) surveys.The novelty of the presented results (authors’ contribution) resides in the fact that for the first time, using an expanded sample (over 14 thousand respondents), were studied the possibilities of predicting labour market indicators in small businesses based on leading data from business surveys, examining separately retail trade, wholesale trade, construction, and manufacturing. According to the results obtained based on the Granger causality and pseudo-out-of-sample analysis, in all the industries under consideration, entrepreneurial assessments and expectations are effective predictive indicators for forecasting employment dynamics in the short term (two to four months) and identifying turning points in employment growth in the small business segment. The most sensitive predictive estimates were found in the retail and wholesale sectors, with the best results obtained for wholesale trade. For this reason, the authors recommend using the employment expectations indicator primarily in these sectors to monitor the level of employment and unemployment.

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