CollECTeR ’06, 9 December, Adelaide
A Preliminary Meta-Analysis of SME-eBusiness Journal
Publications: Current Trends and Future Research Opportunities
Moving Beyond Adoption Factor Studies
Craig M. Parker and Tanya Castleman
Deakin University, Australia
craig.parker@deakin.edu.au
, tanya.castleman@deakin.edu.au
Abstract
Previous meta-analyses of SME-eBusiness journal research focuses on analysing adoption
factors, pre-2000 articles and a small number of journals. This paper departs from this
research by analysing 100 articles published between 2003 and 2006 in 41 journals on the
basis of the research approaches employed, countries and eBusiness technologies studied,
and research objectives focused upon. The paper presents preliminary insights into current
major research trends based on this analysis, such as the predominant focus on adoption
factor by many studies. It also identifies future research opportunities, and proposes a
research agenda which aims to progress SME-eBusiness research beyond adoption factor
studies by outlining research objectives to help SMEs overcome barriers and exploit drivers.
1. Introduction
Small and medium enterprises (SMEs) and their adoption and use of various forms of
Electronic Business (eBusiness) has been the subject of considerable research, especially over
the last decade with the commercialisation of the Internet. A non-exhaustive search of the
literature uncovered at least 100 journal articles with a focus on SMEs and eBusiness – many
of which looked at Internet or website adoption and use in particular. It is therefore an
opportune time to conduct a meta-analysis of an indicative collection of recent SME-
eBusiness journal articles to identify trends and future research opportunities.
Recent meta-analyses relating to SMEs and eBusiness have focused on identifying and
analysing factors (drivers and barriers) which aim to predict or explain why SMEs (do not)
adopt different forms of eBusiness [see 1; 2]. Premkumar’s [1] meta-analysis in particular
only examined pre-2000 articles, and did not include non-IS journals or eBusiness journals
(eg, Journal of Small Business and Enterprise Development and Electronic Markets
respectively) which publish SME-eBusiness studies.
While such “adoption factor” meta-analyses are useful, they do not offer insights into
broader trends relating to the types of research (eg, research approaches and objectives) being
conducted and into the future research opportunities these trends might present. Jeyaraj et al’s
[3] recent meta-analysis addresses this to some extent when examining possible research
biases in adoption studies, but they studied primarily pre-2000 research on individual and
organisational adoption of IT generally, not recent SME-eBusiness focused research.
This paper makes an important contribution by addressing these limitations of past meta-
analyses because: it analyses 100 SME-eBusiness journal articles published from 2003 to
2006 (not pre-2000 articles); it includes non-IS and eBusiness journals (41 journals in total);
and it identifies current major trends in the research approaches employed, countries and
eBusiness technologies studied, and research objectives focused upon, rather than analysing
CollECTeR ’06, 9 December, Adelaide
adoption factors as in previous meta-analyses. It must be noted that this paper presents a
preliminary meta-analysis and indicative current major trends, because we did not analyse
articles from all journals and did not include conference papers and book chapters presenting
more recent work than is typically found in journal articles due to their publication lead times.
Most importantly, we believe, the broader meta-analysis presented in this paper has
resulted in the identification of future research opportunities we hope will promote research
which moves beyond the current tendency in the SME-eBusiness literature to focus on
observed adoption factors. Among these opportunities, we argue that an important future
research objective is to develop programmes, approaches and tools which can help SME
owners (and the external parties who might help them) to make informed decisions about
which eBusiness solutions are appropriate given the unique characteristics of each SME.
The paper is structured as follows. We firstly explain how we identified relevant journal
articles and discuss the limitations of our approach. We then present our analysis of the
articles, including current major trends and future research opportunities. We then outline a
future research agenda based on our article analysis. Finally, we present concluding remarks.
2. Approach to identifying SME-eBusiness journal articles
Articles used for the meta-analysis were selected on the basis that they were journal
articles involving conceptual or empirical work focusing on SMEs (or comparing them with
large firms) and eBusiness. The search for SME-related articles included terms such as small
business and small firm to find relevant articles. eBusiness included EDI, Internet, websites,
email, intranets, supply chain management (SCM), customer relationship management
(CRM), knowledge management (KM), etc. The articles were identified using searches in
online research databases such as Emerald, ScienceDirect and EBSCOHost, where the
journals used were those predominantly available in full-text via our University’s library.
As stated earlier, our objective was to gain preliminary, indicative insights into the current
major trends and future opportunities in SME-eBusiness research. For this reason, we only
included articles published between 2003 and 2006. This resulted in 100 journal articles.
Table 1 summarises the 41 journals from which the articles were identified and analysed. It
is not surprising that many of the articles came from journals dedicated to SMEs such as
JSBED and SBE, in addition to highly regarded IS and eBusiness journals such as EM, EJIS
and I&M. This table demonstrates that there are a wide range of publishing outlets for SME-
eBusiness research. In addition, it can also be seen that SME-eBusiness articles have been
appearing consistently throughout 2003 to 2005, with similar numbers of articles each year. It
will be interesting to see if similar numbers of SME-eBusiness articles emerge in 2006. It
should be noted that the search was not exhaustive and there are too few years covered for
insights into historical publishing trends to be commented upon.
There are a number of limitations of this approach to the meta-analysis. Firstly, the long
publication cycle of many journals (typically between 6 to 24 months) means that this
analysis reflects SME-eBusiness journal publications rather than the most recent research.
The latter would still be filtering through the journal publication processes. Including
conference papers and book chapters would have helped address this problem, but we wanted
to focus our analysis on publications which were likely to be of higher quality than those
typically found in conferences. Indeed, journal articles are often improved versions of
conference papers which incorporate feedback from conference participants and reviewers.
Secondly, the journals analysed did not constitute a complete list of articles on SME-
eBusiness research published worldwide during 2003 to 2006. For example, there might be
CollECTeR ’06, 9 December, Adelaide
journals not abstracted or available via the major online research databases we used (eg,
online-only journals), or journals which are not readily available electronically in full-text.
Table 1. Summary of journal articles identified
Journal Name ‘03 ‘04 ‘05 ‘06 Total
Business Process Management Journal (BPMJ) 1 1
Competition & Change (C&C) 1 1
Communications of the ACM (CACM) 1 1
Decision Sciences (DS) 1 1
European Business Review (EBR) 1 1
Engineering Construction & Architectural Management (EC&AM) 1 1
European Journal of Information Systems (EJIS) 2 3 1 6
Electronic Markets (EM) 1 3 6 10
Information & Management (I&M) 1 3 1 5
International Journal of Information Management (IJIM) 1 1
Irish Journal of Management (IJM) 1 1
International Marketing Review (IMR) 1 1
Info 1 1
Internet Research (IR) 1 1
International Small Business Journal (ISBJ) 2 2
Information Systems Frontiers (ISF) 1 1
Information Technology & Management (IT&M) 1 1
Journal of American Academy of Business, Cambridge (JAAB) 2 1 3
Journal of Computer Information Systems (JCIS) 2 1 3
Journal of Electronic Commerce in Organizations (JECO) 1 2 3
Journal of Electronic Commerce Research (JECR) 1 1 2
Journal of Enterprise Information Management (JEIM) 1 1 2
Journal of Global Information Management (JGIM) 3 3
Journal of Internet Commerce (JIC) 1 1
Journal of Information Technology Management (JITM) 1 1
Journal of Knowledge Management (JKM) 1 1
Journal of Marketing Management (JMM) 1 1
Journal of Organizational Computing & Electronic Commerce (JOC&EC) 2 2
Journal of Purchasing & Supply Management (JP&SM) 1 1
Journal of Property Investment & Finance (JPI&F) 1 1
Journal of Systems & Information Technology (JS&IT) 4 4
Journal of Small Business & Enterprise Development (JSBED) 8 9 2 19
Journal of Small Business Management (JSBM) 1 1
Logistics Information Management (LIM) 1 1
Management Decision (MD) 1 1
New Technology, Work & Employment (NTW&E) 5 5
Production Planning & Control (PP&C) 1 1
Qualitative Market Research (QMR) 2 2
South African Journal of Business Management (SAJBM) 1 1
Small Business Economics (SBE) 1 3 4
Supply Chain Management (SCM) 1 1
TOTAL 33 35 28 4 100
Despite these limitations, the use of recent, readily accessible journal articles via major
online databases still enabled us to generate useful preliminary, indicative insights into the
current, major research trends and potential future research opportunities. In addition, a larger
number of articles would have become unmanageable given the preliminary nature of this
study. For this purpose, we believe that the 100 journal articles identified were a sufficiently
large number and cross-section of journals for this exercise. Table 1 also shows that many of
the leading journals where we would expect to find SME-eBusiness articles are included.
CollECTeR ’06, 9 December, Adelaide
3. Major current SME-eBusiness research trends and future opportunities
In this section we identify major current trends emerging from our meta-analysis of SME-
eBusiness articles by examining the eBusiness technologies and countries studied, the
research methods employed and the primary research objectives of the articles. This
preliminary analysis enabled us to identify commonalities in the literature and to determine
opportunities for future research. Given the preliminary nature of this analysis and space
limitations, it is beyond the scope of this paper to do more detailed analysis, such as
comparing (for instance) the research objectives with research approaches employed. It
should also be noted that while the results are mostly broken down by year, the articles
analysed do not cover a sufficiently long period for reliable historical trends to be analysed.
3.1. A predominant focus on observational research approaches
The majority of the research approaches employed by researchers in the SME-eBusiness
articles analysed were, not surprisingly, observational in nature. It was encouraging that both
qualitative and quantitative studies of varying types were published, including single case
studies. A summary of the research approaches used in the articles is provided in Table 2. It
should be noted that studies which involved (semi-structured) interviews purely to develop a
survey instrument were not categorised as “combined qualitative and quantitative studies”,
because the findings from the interviews were not reported in these articles.
Table 2. Summary of research approaches employed
Research Approach(es) ‘03 ‘04 ‘05 ‘06 Total
Conceptual / literature review only 2 4 1 7
Qualitative only studies – 32 articles
Semi-structured interviews 5 5 10
Case studies 9 5 3 1 18
Case study (longitudinal) 1 1
Action research (longitudinal) 1 1 2
Case studies and semi-structured interviews 1 1
Quantitative only studies – 45 articles
Postal/email survey 7 15 15 2 39
Postal/email survey (longitudinal) 1 1
Phone survey 1 2 3
Website survey (longitudinal) 1 1
Postal/email and website survey 1 1
Combined qualitative and quantitative studies – 16 articles
Postal/email survey and case studies 2 2
Postal/email survey, website survey and case study 1 1
Postal/email survey and semi-structured interviews 3 2 2 1 8
Postal/email survey and semi-structured interviews (longitudinal) 1 1 2
Phone survey and semi-structured interviews 1 1 2
Website survey and semi-structured interviews 1 1
Total 33 35 28 4 100
It can be seen from Table 2 that only seven studies reported results from longitudinal
research, such as comparing survey results over time, or studying SMEs and their eBusiness
use over time. This finding suggests there is an opportunity for longitudinal quantitative and
qualitative studies examining temporal issues affecting SME eBusiness use.
More significantly, perhaps, another issue emerging from this analysis of research
approaches is that the SME-eBusiness articles analysed primarily observe eBusiness use and
adoption among SMEs. There are comparatively few examples in which the primary
objective of researchers is to take an active (rather than observational) role in encouraging
CollECTeR ’06, 9 December, Adelaide
and supporting SME use of eBusiness. Some notable exceptions were Ihlstrom & Nilsson and
McGovern & Hicks’ [4; 5] action research studies where they assisted SMEs with eBusiness
projects and knowledge development, and Hari et al’s [6] knowledge management education
CD developed for the construction industry. This issue and related future research
opportunities are explored further in section 4 where we discuss a proposed research agenda.
A further issue with the existing focus on observational research approaches is that many
of these studies (especially surveys) rely upon SME owner/manager perceptions. Jeyaraj et al
[3] point out that, in the context of individual and organisational IT adoption, there is some
evidence emerging that perceived system use does not correlate with actual system use. This
suggests that research approaches which focus on an SME respondent’s perception of
eBusiness use might not produce reliable insights into actual eBusiness usage or practices (eg,
strategy development). Future research approaches which observe actual behaviour (eg, case
studies and action research) might address this. It is recognised that such observations are
more difficult and less generalisable than surveys, but they offer a way to verify whether any
differences between perceived and actual use/practices exist in the SME-eBusiness context.
3.2. eBusiness technologies and applications studied
Further indicative insights were gained when examining the eBusiness technologies and
applications empirically studied by the journal articles analysed, as summarised in Table 3.
The articles were categorised based on the eBusiness examples specified by authors or, if this
was unclear, based on the description in their results. This proved to be a challenge in some
cases where authors referred merely to the Internet, Web (or websites), eCommerce,
eBusiness, ICT, IS/IT, etc when reporting their empirical findings, rather than the specific
technologies or applications used (or not) by SMEs. The conceptual/theoretical papers, which
have been separated in Table 3, tended to fall into this generic, non-specific category also.
Table 3. Summary of eBusiness technologies and applications investigated
eBusiness Technologies and Applications ‘03 ‘04 ‘05 ‘06 Total
Conceptual / theoretical papers 2 4 1 7
eBusiness technologies unclear or unspecified (eBusiness generally) 1 3 3 7
Web generally 8 15 6 2 31
Web generally plus email 2 2
Internet generally 1 1 1 3
Internet use generally plus mobile phone 1 1
Many eBusiness technologies and applications (eg, research, sales, CRM) 12 6 4 1 23
Many eBusiness technologies plus EDI 4 3 3 10
Focus on supply chain technologies (plus possibly other technologies) 2 2 2 6
Knowledge management (plus possibly other technologies) 1 2 1 4
Electronic marketplaces 2 2
Teleworking 2 2
Broadband Internet 1 1
Online training 1 1
Total 33 35 28 4 100
The first major observation from Table 3 was the surprising tendency by many researchers
to treat the applications of the Internet and the Web collectively. This is problematic because
these technologies can be used for a plethora of quite different applications such as a sales
channel, product catalogue, payment channel, online brochure, etc. Treating the Internet or
Web collectively fails to consider that there might be different mitigating factors influencing
why SMEs (do not) adopt, or vary in their use of, specific applications of Internet/Web
technology – or if the applications are even applicable to particular SMEs at all. This
limitation of existing SME-eBusiness research must be addressed in future studies to ensure
CollECTeR ’06, 9 December, Adelaide
that the heterogenous applications of the Internet/Web are treated separately. The implications
of this for future research are examined in more detail in sections 3.4 and 4.
Another major observation is that, not surprisingly, there has been a strong focus by the
SME-eBusiness literature over the last few years on the Internet, websites and email. Table 3
suggests future research could target other eBusiness technologies and applications which
have received comparatively little attention, such as SME use of teleworking, online training,
mobile commerce, etc. We must emphasise, however, that it is likely that there are other SME
studies in these areas we did not identify due to the preliminary nature of this work, and that
more exhaustive article searches could determine the full extent of research in these areas.
3.3. A predominant focus on single country studies
Further current major trends in the recent SME-eBusiness journal literature emerged when
we examined the countries in which the authors conducted their empirical work, as
summarised in Table 4. Since our focus was on the country targeted for empirical
investigations, we did not categorise conceptual and theoretical papers based on countries.
Table 4. Summary of countries studied
Country) Studied ‘03 ‘04 ‘05 ‘06 Total
Unclear 1 1
Not applicable (conceptual / theoretical papers) 2 4 1 7
Single Countries
United Kingdom 6 10 6 1 23
USA 5 5 4 1 15
Australia 4 1 4 9
Canada 1 2 1 4
Ireland 4 4
Italy 2 2 4
New Zealand 1 2 1 4
Scotland 2 2 4
Sweden 2 2 4
Hong Kong 1 2 3
South Africa 1 1 1 3
Taiwan 1 1 2
Turkey 1 1 2
Chile 1 1
Pakistan 1 1
Portugal 1 1
Spain 1 1
Two Countries
Australia and Sweden 2 2
Four Countries
USA, Germany, Denmark and France 2 2
USA, UK, Austria and Spain 1 1
Eight Countries
UK, Ireland, Finland, Germany, Denmark, France, Italy, Spain 1 1
Ten Countries
Brazil, China, Denmark, France, Germany, Japan, Mexico, Singapore,
Taiwan, USA
1 1
Total 33 35 28 4 100
The first major observation from Table 4 is that a large proportion (nearly a quarter) of the
SME-eBusiness articles analysed concerned UK SMEs. This might reflect the government
funding which has been provided in the UK to stimulate eBusiness adoption and use by SMEs
in various areas such as Wales [eg, 7] and the West Midlands [eg, 8]. In addition, nearly half
the articles analysed investigated SMEs in the UK, USA and Australia. This suggests that
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there are future research opportunities and need for SME-eBusiness research in developing
and/or non-native English speaking countries, although it is quite possible that such research
is being published but not necessarily in English journals accessible via online databases.
Another major observation from Table 4 is that only seven of the articles analysed included
cross-country comparisons. Not surprisingly, the country combinations for which there were
two articles were written by the same authors: MacGregor & Vrazalic [9; 10] conducted the
two Australia-Sweden comparative studies; and Beck et al [11; 12] conducted the two USA-
Germany-Denmark-France comparative studies. Again, this suggests a future research
opportunity for further cross-cultural SME-eBusiness studies.
3.3. A predominant focus on SME adoption/use of eBusiness
More interesting current major trends in the SME-eBusiness literature were identified
when developing a preliminary, indicative classification of the articles based on the primary
research objective stated by authors or, where this was unclear, by our assessment of the
nature of the empirical findings to deduce the primary objective. The classification emerged
inductively through content analysis carried out by the first author. The first step involved
reading each paper, with particular emphasis on the article authors’ stated objectives in the
introduction and the lead-in to the empirical work (where applicable). The first author then
wrote a short summary of each article’s primary research objective in a word processed
document, and then identified broad themes using a condensation approach.
A major limitation of this approach is possible researcher bias, because the summaries,
condensation and resulting themes were not independently verified by a second researcher.
We believe, however, that the indicative trends identified serve as a useful starting point for
future studies looking to analyse the SME-eBusiness literature on the basis of research
objectives, since it appears that no previous meta-analysis of this kind has been conducted on
the SME-eBusiness literature. This future research could, for instance, involve more thorough
and independently verified content analyses of a greater number of recent (and even earlier)
articles and their research objectives. We have included below the complete list of articles in
each category identified to aid in future independent verification and replication of this work.
As stated in section 3.1, most articles analysed focused on observing SMEs with respect to
eBusiness. Indeed, the majority of the articles analysed were descriptive studies of eBusiness
adoption and/or use by SMEs, with many exploring a range of drivers, barriers and critical
success factors, or a subset of these factors. Table 5 summarises the foci of the studies.
There are a number of indicative insights which emerged when we compiled these
preliminary categories (or trends) in Table 5 regarding the article research objectives:
Firstly, it is apparent that the majority of the SME-eBusiness articles analysed focus
primarily on studying the SMEs themselves [13], with only brief (if any) research into the
supply-side of innovation diffusion [see 14 for a notable exception]. The need for more
research which specifically addresses this issue was evident in the few articles which did
explore to some extent the dissatisfaction with vendors and/or consultants by some SMEs. For
example, some SMEs did not know who they could trust regarding eBusiness knowledge, did
not achieve the anticipated benefits from eBusiness, or believed vendors/consultants cost too
much [see 13; 14-16]. In addition, Jones et al [17] also found conflicting expectations
between SMEs and ISPs/advisers, where SMEs expected them to provide eBusiness “how-to”
knowledge, but the ISPs/advisers did not have the ability or desire to provide it. Similarly,
only a few studies have examined the role of governments, industry associations, clusters and
business networks [13; 15; 18 are a few exceptions; 19; 20], but this is more of a by-product
CollECTeR ’06, 9 December, Adelaide
rather than a focus in many of these studies. This suggests there is a need for research which
also looks beyond SMEs themselves and focuses on the supply side of eBusiness, such as
how SMEs can gain eBusiness know-how and which sources are effective and trusted.
Table 5. Summary of research objectives
Category Description Total
Extent of eBusiness use Examining the extent of SME adoption of various eBusiness technologies
and applications. In some cases, the articles also looked at specific factors
such as firm characteristics which influenced this adoption [21-26].
6
eBusiness benefits / uses Identifying the (strategic) benefits and/or uses of eBusiness technologies
and applications by SMEs and, in some cases, the specific adoption factors
or barriers affecting these benefits/uses [11; 12; 16; 27-36].
13
eBusiness drivers /
barriers
Identifying the range of drivers (referred to in some articles as critical
success factors) of and/or barriers to eBusiness adoption/use by SMEs [7;
9; 15; 37-62] or the success factors for pure online SMEs based on lessons
learned from successful dot-coms [63].
30
eBusiness barriers and
networking/alliances
Comparing perceived eBusiness barriers against whether SMEs participate
in strategic alliances [10; 64], or looking at factors including eBusiness use
which impact on SME owner/manager decisions to participate in formal
networking arrangements [65].
3
Adoption factor subset Exploring of a subset of adoption factors (and in some cases the
relationships between these factors) and their impact on the adoption of
eBusiness technologies [1; 19; 66-83].
20
Adoption factor impact on
implementation /
performance
Examining a subset of adoption factors and their impact on the success of
eBusiness implementations [14; 84] or on the business performance of
SMEs [85].
3
eBusiness integration /
business transformation
Examining a subset of adoption factors (and in some cases the
relationships between these factors) and their impact on the extent of
eBusiness-enabled integration and/or business transformation [86-89], or
categorising SMEs in terms of their extent of eBusiness integration against
eBusiness sophistication [90].
5
eBusiness strategy Exploring the complex interrelationships between business strategy,
eBusiness strategy and firm performance [91-93] (in some cases proposing
models or reporting on the evolution of how eBusiness strategies are
formed in SMEs [17; 94-96]), or a subset of adoption factors and their
impact on how (if at all) eBusiness is used strategically by SMEs [20; 97].
9
eBusiness investment
justification
Investigating the approaches to eBusiness investment evaluation and
justification [98] or the benefits, costs and risks of eBusiness investment
by SMEs [99].
2
Website changes over
time
Examining the extent of changes which occur to SME websites over time
[100].
1
Government eBusiness
adoption measures
Arguing why the tendencies of government to use purely statistical
measures of SME eBusiness adoption is inappropriate given the
heterogenous nature of SMEs [101].
1
Knowledge sharing and
co-opetition
Exploring co-opetition among SMEs, issues regarding knowledge sharing
and the role of eBusiness for managing knowledge [102].
1
Role of external parties on
eBusiness adoption
Examining the role and potential impact of external parties such as
government-funded eBusiness advisors and intermediaries on SME
eBusiness adoption [13; 18], or the effects of interventions initiated by
researchers to improve eBusiness adoption by SMEs, such as providing
eBusiness consulting [4; 5; 8] and developing educational resources [6].
6
Secondly, a large number of studies focused on identifying adoption factors, which
suggests that there is a need for more novel SME-eBusiness studies which move beyond
adoption factors. To a large extent Wymer & Regan’s [61] consolidation of previous SME-
eBusiness adoption factor research into a single, coherent framework of factors should
obviate the need for studies aimed purely at identifying factors. The exception might be those
which examine other eBusiness applications. For example, Clear & Dickson [74] looked at
SME teleworking practices, Fisher & Craig [51] and Gengatharan & Standing [41] examined
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regional electronic marketplaces for SMEs, and Wong & Aspinwall [60] studied SME
knowledge management adoption factors. These studies identified some adoption factors
which were different to previous research due to the unique attributes of their respective
eBusiness domain. While adoption factor based studies are useful, we posit that the SME-
eBusiness research community has now reached a point where we can progress beyond these
well-established adoption factors and start to conduct research which will help SMEs to
overcome barriers and exploit drivers. Examples, in addition to innovation supply-side
research, might include researchers taking a more active, rather than observational, role in
helping to improve the relevance of eBusiness for SMEs, such as the studies summarised in
section 3.1 and Matlay & Addis’ [8] study of the impact of higher-education-based
consultancy on SME adoption of eBusiness. In section 4 we provide an overview of a
proposed research agenda which might help address this future need by SMEs.
Thirdly, we found that there is a tendency in the SME-eBusiness literature to treat SMEs as
a homogenous group, varying only on the basis of broad demographics such as size and
industry. Some authors [eg, see 8; 46; 56; 97; 101] point out, however, that individual SMEs
vary widely from one another in ways overlooked by many studies, such as strategic focus,
customer orientation, business growth, business processes, owner attitude, social networks,
etc. This is perhaps why studies which treat SMEs homogenously find conflicting results
concerning the correlations between owner, firm and environmental adoption factors and the
uptake of eBusiness technologies and applications [eg, see 61]. This should not come as a
surprise, we posit, because the heterogenous nature of SMEs (and of eBusiness – see section
3.2) implies there are a plethora of combinations of factors potentially influencing eBusiness
adoption and/or use by SMEs. The limited sample sizes in current SME studies could never
hope to discover correlations between a full set adoption factors (if indeed such a list could be
compiled) and the set of SME characteristics describing their heterogeneity. In addition, this
SME diversity also implies that the benefits of an eBusiness application could be perceived
and valued quite differently among SMEs due to their heterogeneity. The challenge for
researchers in future studies (as well as for practitioners) will be determining ways in which
we might match the unique combination of characteristics exhibited by a particular SME with
one or more eBusiness applications. This also suggests that only some (if any) eBusiness
applications might be appropriate for some SMEs, and that non-adoption decisions are
perfectly acceptable and appropriate.
This emphasises the importance of future research which explores how eBusiness solution
providers and advocates (including researchers themselves) can help SME senior managers to
understand and match the benefits of a specific eBusiness application with their unique
characteristics. A proposed research agenda to address this is outlined in the next section.
4. Overview of a proposed future research agenda
The appropriateness of an eBusiness supply-side focused research agenda which focuses
on matching the benefits of a specific eBusiness application with unique SME characteristics
can be seen both from a theoretical and empirical point of view. For example:
Rogers’ [103] innovation diffusion theories emphasise the essential role of perceived
relative advantage as an innovation characteristic influencing the rate of adoption. He
also points out that the typical innovation-decision process initially involves gaining
knowledge about an innovation (eg, awareness and know-how knowledge) which leads
to an attitude toward the innovation, and then a decision regarding adoption.
CollECTeR ’06, 9 December, Adelaide
Davis’ Technology Acceptance Model (TAM) is an extension of the Theory of
Reasoned Action (TRA) which uses perceived ease of use and perceived usefulness as
predictors of attitudes towards use and, consequently, intentions to use [69]. Perceived
usefulness is associated with perceived benefit, because it relates to the extent that an
individual (such as an SME owner/manager) believes a technology or application (eg,
an eBusiness application) will have a performance benefit [76].
The Theory of Planned Behaviour (TPB) is also an extension of TRA and aims to
explain the link between attitudes and behaviour intention, which consequently can
lead to action such as the adoption of an eBusiness application [104]. Harrison et al
[104] explains that a positive attitude toward a behaviour (such as adoption of an
eBusiness application) is based on the degree to which the person believes mostly
positive outcomes (such as benefits) will occur.
Venkatesh et al [105] developed the Unified Theory of Acceptance and Use of
Technology (UTAUT) which combines eight models including TAM and TPB. Factors
such as relative advantage, perceived usefulness and outcome expectations (which are
all interrelated) underpin the UTAUT’s performance expectancy construct.
Despite the heterogenous nature of SMEs, empirical findings in the SME-eBusiness
literature consistently show, perhaps unsurprisingly, that perceived benefits (or related
perceived value, relative advantage and usefulness) is one of the key factors correlated
with eBusiness application adoption [eg, see 1; 44; 61; 68 to name a few].
This suggests that unless SME senior managers (or employees) already have a positive
attitude toward eBusiness and know-how, eBusiness solution providers and advocates need to
convince SME senior managers that the SME can obtain benefits, and they need to promote
positive attitudes for potential adoption to occur. We therefore posit that a future research
agenda is needed which investigates and develops programmes, approaches and tools to help
SME owners (or the external parties who might help them) to determine which eBusiness
applications correspond with the unique characteristics of each SME. A brief overview of the
examples of the types of research needed to fulfil this research agenda could include:
investigating whether it is feasible to formulate cost-benefit analyses (eg, worksheets)
which SMEs senior managers can use to assess the tangible benefits they can expect
from specific eBusiness applications against their unique combination of owner, firm
and environmental characteristics;
examining whether there are expectation gaps between vendors/consultants and SMEs
in terms of their respective roles regarding education about eBusiness benefits,
performing market analysis work, assessing tangible benefits, etc – and, if so, how can
this expectation gap be addressed;
investigating the impact of intervention strategies (including education, consultancy,
skills/advice resources, etc) employed by higher education institutions, government,
industry associations, accountants, etc aiming to convince SMEs of eBusiness benefits;
studying the impact of social and business networks through which SMEs can gain
knowledge about eBusiness applications, the benefits, applicability to their firm, etc;
developing an understanding of the knowledge sources which SMEs trust (eg,
employees, family, external parties) when considering eBusiness benefits and
appropriateness for their firm; and
CollECTeR ’06, 9 December, Adelaide
evaluating the effectiveness of different educational programmes and approaches
aimed at helping SMEs to determine whether particular eBusiness applications can
help them achieve benefits and can match their unique characteristics.
5. Conclusion
This paper has presented a preliminary, indicative meta-analysis of SME-eBusiness
research which addressed problems with previous adoption-factor type meta-analyses by
analysing current (post-2000) journal articles from a range of journals in order to identify
trends emerging in the areas of eBusiness applications and countries studied, research
approaches used and primary research objectives focused upon. The paper highlighted a range
of future research opportunities based on these major trends identified, including the need for
research which considers the heterogenous nature of eBusiness applications and SMEs, the
supply-side of eBusiness diffusion, the temporal effects related to SME eBusiness use with
longitudinal studies, and the adoption and use of eBusiness in countries in addition to the
current focus on the UK and USA. Finally, the paper outlined a proposed research agenda
which will have important theoretical and practical implications, because we anticipate that
the research directions suggested will enable the practitioner and research communities to
take a more active role in promoting SME adoption of eBusiness, when specific eBusiness
applications are matched to the unique characteristics of SMEs.
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