Impact of Interorganisational Learning Factors on the Performance of Micro and Small Businesses

Author:

Ouro-Filho Abimael Magno do1,Olave Maria Elena Leon2,Barreto Ikaro Daniel de Carvalho3

Affiliation:

1. Departamento de Secretariado Executivo – DSE, Universidade Federal de Sergipe – UFS, Aracaju, Sergipe, Brazil

2. Departamento de Administração – DAD, Universidade Federal de Sergipe – UFS, Aracaju, Sergipe, Brazil

3. Programa de Pós-Graduação em Biometria e Estatística Aplicada – PPGBEA, Universidade Federal Rural de Pernambuco – UFRPE, Recife, Pernambuco, Brazil

Abstract

The aim of this study is to analyse the influence of interorganisational learning factors on the performance of Micro and Small Enterprises (MSEs) participating in a Local Productive Arrangement (LPA) network; specifically, the clothing arrangement located in the city of Santa Cruz do Capibaribe, in the state of Pernambuco, Brazil. Three aspects were analysed in the performance of the MSEs: cooperation, innovation, and market. For this, a quantitative survey method was employed, with a sample of 301 respondents, analysed through the modelling of structural equations of the PLS type. The results indicate a complex model with the variable interorganisational learning characterised as being of second order, as it is filled by first-order variables of reflexive characteristic, which obtained validation in the measurement and structural assumptions. The model suggests that interorganisational learning positively influences the performance of cooperation, innovation, and market of the MSEs that constitute the LPA.

Publisher

World Scientific Pub Co Pte Lt

Subject

Library and Information Sciences,Computer Networks and Communications,Computer Science Applications

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3