Development of SMEs through clusters: a comparative study of India, Pakistan and Sri Lanka

Dasanayaka, S.W.S.B.; Sardana, G.D.

doi:10.1504/wremsd.2010.031638

Cited by 14 publications

(8 citation statements)

References 4 publications

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“…Klotz, Horman, Bi and Bechtel [79] have found that all tender procedures that might benefit small businesses and enterprises must be administered with adequate transparency as a means of supporting the SMME sector. Dasanyaka and Sardana [80] have found that strategic partnerships between national and provincial Governments as well as academic institutions benefit the SMME sector in terms of producing workable plans of actions. Edwards, Sengupta and Tsai [81] have argued that mentorship is critically helpful for reducing failure rate in newly established small enterprises.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

Analysis of Factors That Affect the Long-Term Survival of Small Businesses in Pretoria, South Africa

Worku¹

2013

JDAIP

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The paper is based on a 5-year follow-up study (2007 to 2012) of a random sample of 349 small business enterprises that operate in and around the city of Pretoria in South Africa. Data were gathered from each of the businesses on socioeconomic factors that were known to affect the long-term survival of small businesses. The objective of the study was to identify and quantify key predictors of viability and long-term survival. Pearson's chi-square tests of associations, binary logistic regression analysis and the Cox Proportional Hazards Model were used for screening of variables, and for estimating odds ratios and hazard ratios of key predictors of viability and long-term survival. The study found that 188 of the 349 businesses that took part in the study (54%) were not viable, and that the long-term survival and viability of small businesses were adversely affected by lack of entrepreneurial skills, lack of supervisory support to newly established businesses, and inability to operators running newly established businesses to acquire relevant vocational skills.

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Section: Discussion Of Resultsmentioning

confidence: 99%

Analysis of Factors That Affect the Long-Term Survival of Small Businesses in Pretoria, South Africa

Worku¹

2013

JDAIP

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“…The ICT talent pool of the country has registered tremendous growth in recent years, with universities alone producing 10000 computer science graduates every year. However, this lags far behind the regional player India, which produces about 150,000 graduate professionals in its IT based institutions (Dasanayaka, 2010).…”

Section: Potential For Employmentmentioning

confidence: 99%

“…The initiative, called Virtual Exchange, is set to provide over 50,000 business leads to exporters of Pakistan, giving them access to 202 territories and countries around the globe (Mujahid 2001). However, SMEDA does not have a specified export cluster for ICT-specific products and services, and hence this SME sub-sector is largely not accounted for in its policy initiatives (Dasanayaka, 2010).…”

Section: Potential For Local Consumptionmentioning

confidence: 99%

The Potential of Ict Smes in Pakistan

Mustafa

Arshad

Moin

2018

ABR

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Pakistan has been registering increasing growth rates in its Information Communication and Technology (ICT) sector, with IT exports crossing $2.5 billion mark and registered IT companies surpassing 2000 in number. The growth is mainly powered by service-sector small and medium enterprises (SMEs) of the country, which are subject to little or no regulatory requirements and a lucrative tax amnesty up to June 2019. The information and communication technologies (ICT) sector of Pakistan employs thousands of micro and small firms and self-employed individuals producing various ICT related products and services for domestic and foreign consumption. These small business units may comprise of just an individual, a group of individuals, micro enterprises up to 10 employees and medium sized companies up to 200 employees. The present paper seeks to present, first, the heterogeneous nature of the sector, classifying and comparing enterprises working in it against the prevalent definitions of SMEs. Next, the size and of this SME subset is identified in terms of its consumers, producers, business units and business volumes, with a particular focus on how these together stimulate the economy of the country through increased ICT-based consumption, employment and exports. The paper then analyses some of the challenges and limitations faced by small ICT firms of Pakistan and evaluates whether appropriate measures and initiatives are reflected by ICT and SME stakeholders of Pakistan such as Pakistan Software Exports Board, Pakistan Telecommunications Authority, and SME Development Authority,. The research is exploratory and descriptive in nature. Extensive literature is sought from reputed journals, books, surveys, reports, publications and authoritative web sources targeting service-sector SMEs. The findings of this research hint at major areas of concern and improvement in ICT-based SMEs of Pakistan. They offer great significance for owners, partners, workers and individuals of ICT SMEs as well as government authorities, policymakers and academicians aspiring to strengthen the SME sector.

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“…At least 50 per cent of the available coir husk is used to produce coir products and the rest is used as fuel in rural areas. Subsequently, coir industry can be grown up [1]. Numerous development programs are also undertaken by the Government authorities for the improvement in quality and production of coir industry.…”

Section: Introductionmentioning

confidence: 99%

Decision Support System for Agriculture Industry using Crowd Sourced Predictive Analytics

Remya¹

2018

ijacsa

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It is really tough to manually examine the raw data. The Datamining strategies are used to detect the applicable information from uncooked data. The data mining algorithms are efficient for retrieving a specific pattern. In Datamining techniques decision trees are the most commonly used methods for predicting the outcome or behavior of a pattern because they can successfully and efficiently visualize the facts. Presently several decision tree algorithms are advanced for predictive analysis. Right here we gathered a dataset for rubberized mattress, from coir board CCRI, and applied the several decision tree algorithms on the data set and as compared every one. Every set of rules gives a completely unique choice tree from the input statistics. This paper focuses in particular on the Fuzzy c4.5 set of rules and compares one-of-a-kind choice tree algorithms for predictive analysis. Here by using predictive analytics, a decision can be made for each rubberized firms.

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Development of SMEs through clusters: a comparative study of India, Pakistan and Sri Lanka

Cited by 14 publications

References 4 publications

Analysis of Factors That Affect the Long-Term Survival of Small Businesses in Pretoria, South Africa

Analysis of Factors That Affect the Long-Term Survival of Small Businesses in Pretoria, South Africa

The Potential of Ict Smes in Pakistan

Decision Support System for Agriculture Industry using Crowd Sourced Predictive Analytics

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