CoChat
Sign Up
Cited by 70Technology Adoption and User BehaviourSMEs Development and Digital MarketingE-commerce and Technology Innovations

Demographic determinants of electronic commerce (EC) adoption by SMEs: A twist by location factors

Awa, Hart Okorie, Baridam, Don Monday, Nwibere, Barinedum Michael·2015·Journal of Enterprise Information Management
DOI 10.1108/jeim-10-2013-0073
Open this paper in CoChat — free account

Abstract

Purpose: – Research on the demographic characteristics of top management team (TMT) on e-commerce adoption has really advanced. Although some of such studies factored location factors as e-commerce adoption drivers, rare attempts have been made to unravel if the differences in the demographic composition of TMT and the rate of adoption may be explained by the differences in the firm’s geographical location. Therefore, the purpose of this paper is to bridge this knowledge gap by proposing a framework that conceives and measures geographical location as a contextual variable between e-commerce adoption and TMT composition. Design/methodology/approach: – Data were generated from the opinions of owners/managers of 226 SMEs drawn purposefully from registered SMEs in five industries located in three geo-political zones of Nigeria. Two cities (a state capital and a commercial nerve centre) were studied and a four-step hierarchical regression (spanning factor-loading) was used to test the hypotheses. Findings: – Evidence from the study shows that the hypothesized relationships between demographic factors and e-commerce adoption (main/direct effects) were statistically significant (supporting H1-H4). The two moderators (physical infrastructures and industrial specialization) that explained location factors were equally statistically significant in moderating the relationship between the demographic composition of TMT and e-commerce adoption. Research limitations/implications: – Sampling the opinions of SMEs in some industries of three geo-political zones of Nigeria limits the power of generalization. Therefore, extended data and measures are required to replicate the study in order to build external validity and reliability, and possibly theories. Further, some errors seem unavoidable in the course of converting the data through SPSS procedure just as all the measures used appear subjective and prone to common method bias. Other demographic and location factors not captured in the study may be handled by future studies. Originality/value: – The work will be of benefit to the academia and practitioners in terms of showing how location factors dictate the relationship between the demographic composition of top management and e-commerce adoption. The paper raises pointers that stimulate future research and advised policy-makers on even or near-even distribution of infrastructural facilities.

Integrity signals

Registry

Crossref · 10.1108/jeim-10-2013-0073

Cites

81 of 81 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • T-O-E framework has gained empirical validity across firm sizes and underpinned many ICT adoption inquiries, especially those focusing on EDI or inter-organizational information systems.

    “scholarly evidence (Awa, Baridam et al., 2015;Chau & Tam, 1997;Eze et al., 2013) shows that T-O-E framework has gained empirical validity across firm sizes and underpinned many ICT adoption inquiries, especially those that focus on EDI or inter-organizational information systems (IOIS).”

    From Using T-O-E theoretical framework to study the adoption of ERP solution (2016) · cites this paper as Awa, Baridam et al., 2015

  • Top management's demographic differences affect technology adoption.

    “Further, inquiries show that top management's demographic differences affect technology adoption (Awa, Baridam et al., 2015;Chuang et al., 2009;Hambrick & Mason, 1984;Thong, 1999;Zhu et al., 2003).”

    From Using T-O-E theoretical framework to study the adoption of ERP solution (2016) · cites this paper as Awa, Baridam et al., 2015

Cites

Flagged first, then by citations

2 of the 83 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Related

Authors
Awa, H. O., Baridam, D. M., & Nwibere, B. M.
Affiliations
University of Port Harcourt (NG)
ORCID
Awa, Hart Okorie
Venue
Journal of Enterprise Information Management
Publisher
Emerald
Published
2015-04-13
Volume
28
Issue
3
Pages
326-345
ISSN
1741-0398 (ISSN-L)
DOI
10.1108/jeim-10-2013-0073
OpenAlex
W1552182078
Cited by
70
References
83
Citations by year
2026: 2 · 2025: 11 · 2024: 9 · 2023: 8 · 2022: 8 · 2021: 11 · 2020: 5 · 2019: 3 · 2018: 5 · 2017: 2 · 2016: 5 · 2015: 1
FWCI
8.52
Type
journal article
Language
en
Open access
closed
Licence
www.emerald.com/insight/site-policies (tdm)
Locations
Journal of Enterprise Information Management (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Demography › SMEs Development and Digital Marketing
  • Social Sciences › Business, Management and Accounting › Business and International Management › E-commerce and Technology Innovations
Keywords
e-commerce adoption, small and medium-sized enterprises, top management teams, demographic structure, geographic location, physical infrastructure, industrial specialization, moderating effect, Nigeria

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review