Logistics information systems adoption: an empirical investigation in Brazil


Autoria(s): BARBOSA, D. H.; MUSETTI, M. A.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

18/10/2012

18/10/2012

2010

Resumo

Purpose - The purpose of this paper is to examine whether the level of logistics information systems (LIS) adoption in manufacturing companies is influenced by organizational profile variables, such as the company`s size, the nature of its operations and their subsectors. Design/methodology/approach - A review of the mainstream literature on US was carried out to identify the factors influencing the adoption of such information systems and also some research gaps. The empirical study`s strategy is based on a survey research in Brazilian manufacturing firms from the capital goods industry. Data collected were analyzed through Kruskall-Wallis and Mann Whitney`s non-parametric tests. Findings - The analysis indicates that characteristics such as the size of companies and the nature of their operations influence the levels of LIS adoption, whilst comparisons regarding the subsectors appeared to be of little influence. Originality/value - This is the first known study to examine the influence of organizational profiles such as size, nature of operations and subsector on the level of US adoption in manufacturing companies. Moreover, it is unique in portraying the Brazilian scenario on this topic and addressing the adoption of seven types of LIS in a single study.

Identificador

INDUSTRIAL MANAGEMENT & DATA SYSTEMS, v.110, n.5/Jun, p.787-804, 2010

0263-5577

http://producao.usp.br/handle/BDPI/17821

10.1108/02635571011055054

http://dx.doi.org/10.1108/02635571011055054

Idioma(s)

eng

Publicador

EMERALD GROUP PUBLISHING LIMITED

Relação

Industrial Management & Data Systems

Direitos

restrictedAccess

Copyright EMERALD GROUP PUBLISHING LIMITED

Palavras-Chave #Distribution management #Information systems #Manufacturing systems #Brazil #SUPPLY-CHAIN #MANAGEMENT-SYSTEM #ERP SYSTEMS #TECHNOLOGY #PERFORMANCE #OPERATIONS #INDUSTRY #Computer Science, Interdisciplinary Applications #Engineering, Industrial
Tipo

article

original article

publishedVersion