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Article
Publication date: 3 May 2011

Hart O. Awa, Sunday C. Eze, Joseph E. Urieto and Benjamin J. Inyang

The purpose of this paper is to investigate the impacts of such demographic variables as age composition, gender sensitivity, experience, homogeneity/heterogeneity and educational…

1992

Abstract

Purpose

The purpose of this paper is to investigate the impacts of such demographic variables as age composition, gender sensitivity, experience, homogeneity/heterogeneity and educational attainment of top management teams (TMT) on small to medium‐sized enterprises (SMEs)' information technology (IT) adoption behaviour.

Design/methodology/approach

The data collection method was primarily field survey guided by the five working hypotheses and research objectives. Analysis of the data was made with multiple regression analysis and Pearson correlation coefficient as there were five independent variables that entered into the equation, though at different stages/times.

Findings

As the study unravelled, the age composition, experience and gender sensitivity of TMT members of SMEs were found to have significantly strong power of predicting the extent of adoption of IT. Group homogeneity, in terms of functional track, has negative impacts and education has weak impacts, contrary to many previous inquiries.

Practical implications

The paper takes a sample of subjects across industries from where findings are specifically generalized. Extended data and measures are required for further in‐depth investigation in specific areas and industries not covered by this work in order to build external validity and further expand knowledge. Also, the paper suggests that marketers of IT infrastructures are encouraged to focus more on individual and group idiosyncrasies of decision makers measured by age, gender and experience in order to accurately predict and timely package programmes that win trial, loyal, switching and viral/advocacy behaviours in this global age.

Originality/value

The paper bridges a knowledge gap by replicating and complementing upper echelon theory on the extent to which IT adoption is determined and shaped by the demographic factors of members of TMT in Nigeria, where such studies rarely exist.

Details

Journal of Systems and Information Technology, vol. 13 no. 2
Type: Research Article
ISSN: 1328-7265

Keywords

Content available
Article
Publication date: 3 May 2011

Paul Jones

2759

Abstract

Details

Journal of Systems and Information Technology, vol. 13 no. 2
Type: Research Article
ISSN: 1328-7265

Article
Publication date: 19 July 2013

Sunday C. Eze, Hart O. Awa, Joseph C. Okoye, Bartholomew C. Emecheta and Rosemary O. Anazodo

The purpose of this paper is to specifically investigate and prioritize the effects of 13 factors in determining ICT adoption in Nigerian universities.

2403

Abstract

Purpose

The purpose of this paper is to specifically investigate and prioritize the effects of 13 factors in determining ICT adoption in Nigerian universities.

Design/methodology/approach

The constructs of theoretical framework of technology‐organization‐environment (T‐O‐E) underpin the survey. The survey adopted in‐depth unstructured and semi‐structured interviews with 30 senior executives drawn purposefully from at least one university in each of the five state capitals in south‐eastern Nigeria.

Findings

Evidence from the study shows that, irrespective of the perceived competitive pressures and perceived benefits of ICT solutions, government‐owned universities are yet to exploit its full potentials in their operations. This behaviour is informed by incessant corrupt practices; irregular energy supply and internet connectivity/accessibility; lack of financial capacity, expert skills, managerial and technical flexibility/support; and poor regulatory policies and government supports.

Originality/value

The paper raised some challenges that will serve as points of departure to future researchers and provides university management, government, policy makers, and other stakeholders the bases for encouraging ICT adoption.

Details

Journal of Enterprise Information Management, vol. 26 no. 4
Type: Research Article
ISSN: 1741-0398

Keywords

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