scholarly journals Data-Mining Opportunities for Small and Medium Enterprises with Official Statistics in the UK

2016 ◽  
Vol 32 (4) ◽  
pp. 849-865 ◽  
Author(s):  
Shirley Y. Coleman
Keyword(s):  
Data Mining ◽  
Case Studies ◽  
Data Analytics ◽  
Small And Medium Enterprises ◽  
Open Data ◽  
Official Statistics ◽  
Business Opportunities ◽  
Mining Methods ◽  
The Uk ◽  
Medium Enterprises

Abstract There is a growing interest in data amongst small and medium enterprises (SMEs). This article looks at ways in which SMEs can combine their internal company data with open data, such as official statistics, and thereby enhance their business opportunities. Case studies are given as illustrations of the statistical and data-mining methods involved in such integrated data analytics. The article considers the barriers that prevent more SMEs from benefitting in this field and appraises some of the initiatives that are aimed at helping to overcome them. The discussion emphasizes the importance of bringing people together from the business, IT, and statistical worlds and suggests ways for statisticians to make a greater impact.

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

scholarly journals Bridging the gap between domain of research and locus of impact

2018 ◽  
Vol 37 (4) ◽  
pp. 341-352 ◽  
Author(s):  
Rekha Rao-Nicholson ◽  
Peter Rodgers ◽  
Zaheer Khan
Keyword(s):  
Case Studies ◽  
Multinational Corporations ◽  
Positive Impact ◽  
Small And Medium Enterprises ◽  
Academic Research ◽  
Content Type ◽  
Research Activities ◽  
Non Governmental Organizations ◽  
The Uk ◽  
Medium Enterprises

Purpose The purpose of this paper is to examine the relevance of academic research in the business and management studies stream to various stakeholders. The stakeholder theory is used to examine the influence of research on various key beneficiaries and investigate the link between the domain of research and locus of impact. Design/methodology/approach Research Excellence Framework 2014 (REF 2014) conducted in the UK provides a useful context and data for our research as REF 2014 encouraged universities to submit the information on research activities and their beneficiaries. This information is in the form of impact case studies which details the research, location of research and beneficiaries. Findings The findings suggest that research with an international focus has a positive impact on industry stakeholders, especially multinational corporations as well as non-governmental organizations. Second, it shows how research has made a commercial impact in innovation and small and medium enterprises’ growth while having limited impact on other domains such as social, legal, political and healthcare. More broadly, the findings indicate the degree of regional diversity. Also, the wider results-driven agenda in the UK can overestimate the research contribution to some stakeholders in the society. Research limitations/implications Self-selection bias as universities might submit only few case studies. Practical implications For research to generate long-term benefits for the wider society, it needs to engage more deeply with the whole range of stakeholders. Originality/value This study contributes to understanding how research is consumed by stakeholders. The results indicate that while locally relevant research encourages local consumption; it is not assimilated across various stakeholders.

Knowledge Management: Case Studies in SMEs and Evaluation of an Integrated Approach

2005 ◽  
Vol 04 (02) ◽  
pp. 95-111 ◽  
Author(s):  
Kuan Yew Wong ◽  
Elaine Aspinwall
Keyword(s):  
Knowledge Management ◽  
Case Studies ◽  
Small And Medium Enterprises ◽  
Integrated Approach ◽  
Business Sector ◽  
Integrated Framework ◽  
Implementation Effort ◽  
Medium Enterprises ◽  
The Way

To date, very few publications have been found that describe how small and medium enterprises (SMEs) are adopting knowledge management (KM). The same is true concerning attempts to develop a framework to help them implement it. To redress this, this paper presents the results of four case studies conducted in UK SMEs to examine their KM implementation effort. In addition, a new integrated framework developed by the authors was evaluated to determine its applicability in this business sector. The methodology employed to conduct the studies is described and each of the cases is then presented. The results are analysed and key lessons or findings gathered from the companies are highlighted. Comments received from the companies with respect to the integrated framework were positive and favourable. It is hoped that the information accrued from the case studies, together with the integrated framework, will help to pave the way for SMEs to accomplish KM.

India-based versus UK-based SME owners’ perspectives on inter-firm collaboration

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manish Unhale ◽  
André Slowak
Keyword(s):  
Small And Medium Enterprises ◽  
Business Associations ◽  
Data Set ◽  
Content Type ◽  
Grounded Theory Research ◽  
The Uk ◽  
Medium Enterprises ◽  
Theory Research ◽  
Indian Perspective ◽  
Country Specific

Purpose This study aims to inquire about pre-requisites and benefits of collaboration in the UK and India, testing for significance of country context. Design/methodology/approach The survey data set includes 118 UK-based and 175 India-based small and medium enterprises (SMEs). This paper applies a grounded theory research design, given that to date, no sufficient SME sector-specific, quantitative frameworks have been published. Findings India-based SMEs are more inclined towards frequent collaboration. Soft variables such as perceived trustworthiness or past commitment, appear to be significant when explaining whether or not SMEs in India enter into a collaboration. Operations-driven motives play the most significant role for them, whereas for UK-based SMEs, product design-related collaboration motives are of more importance. Research limitations/implications The developed cross-country and country-specific collaboration variables will facilitate SME studies under a consistent and complete framework. Practical implications Business associations and SME owners in the UK can use the research to gain an Indian perspective and vice versa. This study concludes a stylised framework for SME owners and managers to classify collaboration patterns in a country. Originality/value While previous research established concepts and practices of SME collaboration, this is the first paper that quantitatively addresses the attitudes and experiences that SME owners hold when initialising inter-firm collaboration.

Data Mining Used for Analyzing the Bankruptcy Risk of the Romanian SMEs

Data Mining ◽  
2013 ◽  
pp. 920-946
Author(s):  
Laura Giurca Vasilescu ◽  
Marian Siminica ◽  
Cerasela Pirvu ◽  
Costel Ionascu ◽  
Anca Mehedintu
Keyword(s):  
Data Mining ◽  
Social Role ◽  
Small And Medium Enterprises ◽  
Warning System ◽  
Analysis Model ◽  
Bankruptcy Risk ◽  
Risk Levels ◽  
Dynamic Economy ◽  
Early Signal ◽  
Medium Enterprises

The small and medium enterprises (SMEs) represent the backbone of the economy, playing a major economic and social role in the process of developing a dynamic economy. But the recent evolutions in the financial markets, the international financial crisis, the increased competition on markets, the lack of financial resources and the insufficient adaptation of many firms to the requests of the European market are new threats which can determine the bankruptcies of the Romanian SMEs. In this context, starting from the necessity to design an early warning system, we will elaborate a new model for analysis of bankruptcy risk for the Romanian SMEs that combine two main categories of indicators: financial ratios and non-financial indicators. The authors’ analysis is based on data mining techniques (CHAID) in order to identify the firms’ categories accordingly to the bankruptcy risk levels. Through the proposed analysis model they try to offer a real surveillance system for the Romanian SMEs which can allow an early signal regarding the bankruptcy risk.

Prototyping Robotic Systems

2013 ◽  
pp. 715-760
Author(s):  
Andrew Goldenberg
Keyword(s):  
Project Management ◽  
Faculty Member ◽  
Case Studies ◽  
General Framework ◽  
Technology Development ◽  
Small And Medium Enterprises ◽  
Practical Experience ◽  
Robotic Systems ◽  
Management Technology ◽  
Medium Enterprises

This chapter provides an experience-based framework of prototypes development and commissioning. It introduces elements learned directly from the practice that encompass aspects of project management, technology development process, and commercialization in the context of Small and Medium Enterprises (SMEs). The contents of this chapter are based mainly on the author’s practical experience of leading an SME technology developer. The author is also a faculty member working as a researcher and teacher. Because of the interrelationship between research and technology development, his views and perception of the topic may be unique, and they are personal. The chapter presents a general framework for robotic systems prototyping. To back up the points made in the chapter, three case studies of robotic prototyping are included to help the reader perceive the outlined concepts.

Data Mining Used for Analyzing the Bankruptcy Risk of the Romanian SMEs

2011 ◽  
pp. 144-171
Author(s):  
Laura Giurca Vasilescu ◽  
Marian Siminica ◽  
Cerasela Pirvu ◽  
Costel Ionascu ◽  
Anca Mehedintu
Keyword(s):  
Data Mining ◽  
Social Role ◽  
Small And Medium Enterprises ◽  
Warning System ◽  
Analysis Model ◽  
Bankruptcy Risk ◽  
Risk Levels ◽  
Dynamic Economy ◽  
Early Signal ◽  
Medium Enterprises

The small and medium enterprises (SMEs) represent the backbone of the economy, playing a major economic and social role in the process of developing a dynamic economy. But the recent evolutions in the financial markets, the international financial crisis, the increased competition on markets, the lack of financial resources and the insufficient adaptation of many firms to the requests of the European market are new threats which can determine the bankruptcies of the Romanian SMEs. In this context, starting from the necessity to design an early warning system, we will elaborate a new model for analysis of bankruptcy risk for the Romanian SMEs that combine two main categories of indicators: financial ratios and non-financial indicators. The authors‘ analysis is based on data mining techniques (CHAID) in order to identify the firms’ categories accordingly to the bankruptcy risk levels. Through the proposed analysis model they try to offer a real surveillance system for the Romanian SMEs which can allow an early signal regarding the bankruptcy risk.

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