European Journal of Information Systems (1998) 7, 241–251 1998 Operational Research Society Ltd. All rights reserved 0960-085X/98 $12.00
http://www.stockton-press.co.uk/ejis
Evaluating information systems in small and medium-sized
enterprises: issues and evidence*
J Ballantine
1
, M Levy
1
and P Powell
2
1
Information Systems Research Unit, Warwick Business School, University of Warwick, Coventry CV4 7AL;
2
Department of
Maths and Computing Sciences, Goldsmiths College, New Cross, London SE14 6NW, UK
Much empirical work has investigated the nature of information systems (IS) evaluation in large organiza-
tions. However, little work has examined the nature of evaluation in small and medium-sized enterprises
(SMEs). This paper discusses IS evaluation in the context of SMEs by identifying a number of issues
particularly relevant to such organizations. Drawing on the experiences of four SMEs, the paper identifies
the following factors and their implications for evaluation practice: a lack of business and IS/IT strategy;
limited access to capital resources; an emphasis on automating; the influence of major customers; and
limited information skills. The paper draws on two frameworks of evaluation which are used to help
understand evaluation practices in SMEs, and which form a structure within which future research may
be placed. The paper concludes with a set of propositions which constitute a research agenda for further
examining evaluation practice in SMEs.
Introduction
The problematic nature of information systems/
information technology (IS/IT) evaluation is well recog-
nised. However, the majority of empirical work in IS
evaluation has been carried out in large organizations.
Indeed, many of the techniques of evaluation are predi-
cated upon complex organizations with sub-units com-
peting for organizational funding. What is less rese-
arched is whether many of the problems of IS/IT
evaluation are atypical of some organizational types (for
instance, service and manufacturing) or organizations of
varying sizes (for example, small, medium and large
companies). This paper discusses the theme of organiza-
tion size in the context of IS evaluation by identifying
the issues surrounding evaluation in small and medium-
sized enterprises (SMEs). In doing so, it considers
whether contextual factors such as management style
and organizational culture constrain or amplify the
evaluation problem.
The paper first considers the characteristics of SMEs
which distinguish them from large companies. It then
outlines approaches to evaluation, drawing on evaluation
practice. This highlights the expectations for evaluation
practices in SMEs. Evidence of the actual evaluation
practices of four SMEs in the manufacturing sector of
the UK West Midlands is used to illustrate these. In so
doing the paper identifies a set of issues which have
particular relevance for evaluation practices in such
*An earlier version of this paper was presented at the 5th European
Conference on Information Systems, Lisbon, Portugal, July 1996.
organizations. This paper draws on two frameworks of
evaluation which are used to help understand evaluation
practices in SMEs, and which form a structure within
which future research may be placed. It concludes with
a set of propositions which constitute a research agenda.
SMEs are a major business sector in the industrial
world and are of fundamental importance in less
developed countries and peripheral European regions. In
the UK, SMEs represent over 95% of all businesses
registered for VAT, employ 65% of the workforce
(Storey, 1995) and produce 25% of gross domestic pro-
duct (Natwest, 1992). The SME sector is characterised
by high firm failure rates. Storey and Cressy (1995)
report that about 11% of small businesses fail to survive
in any given year—the failure rate being six times higher
for small than large businesses. Indeed, over five years
80% of all new small businesses fail. It may be that dif-
ficulties of evaluation practice in such organizations con-
tribute to this high failure rate, if inadequately appraised
investments are frequently undertaken.
Storey and Cressy also characterise SMEs as exhibit-
ing many of the attributes of firms in perfect compe-
tition. SMEs have little ability to influence market price
by altering output; they have small market shares and
are unable to erect barriers to entry to their industry;
they cannot easily raise prices and tend to be heavily
dependent on a small number of customers. The bulk of
these businesses produce standard products, termed ‘me
too’ businesses by Storey and Cressy.
242 Evaluating information systems in SMEs J Ballantine et al
Research method
The IS/IT evaluation practices of four SMEs are dis-
cussed in this paper. Evaluation practices were ascer-
tained by conducting interviews with relevant individ-
uals, including top management and IS personnel.
Interviews were semi-structured, addressing inter alia
the following: the extent to which investments in IS/IT
were subject to evaluation; the criteria used to make
investment decisions; the extent to which an IS/IT and
business strategy existed, the influence of major cus-
tomers and the IS skills available within the organiza-
tions.
The four SMEs discussed here are manufacturers,
three supply the motor industry, and the fourth
assembles light fittings. Those supplying the motor
industry are a precision tool manufacturer, a manufac-
turer of automotive springs and a company which makes
a variety of tube or wire-based products (for example,
clutch shafts and pedal assemblies). The companies have
between 24 and 285 employees, and turnover ranges
from £1.6 million to £12 million. They are all family-
owned businesses which have either been taken over by
a larger group (in both cases overseas companies) or
which have introduced general managers to widen the
decision-making base. All the firms have introduced
information systems to aid production activities and use
IBM AS400 hardware, with a variety of materials
requirements planning (MRP) software.
The next section of the paper synthesises the literature
on IS/IT evaluation to establish expectations for the
SME evidence which follows. The section considers the
background to the evaluation problem; approaches avail-
able to deal with this problem; and the use of such
approaches in practice.
Evaluation of information
systems/technology
IS/IT evaluation is a major organizational issue, with
many studies highlighting concerns over IS effectiveness
measurement, cost justification and cost containment
(Dickson & Nechis, 1984; Niederman et al, 1991). The
issue has, to some extent, come to the forefront of man-
agement attention due to the level of capital expenditure
involved. Investment in IS/IT is currently estimated at
betwen 1–3% of turnover (Willcocks, 1992), putting it
on a par with spending on research and development.
IS/IT evaluation is problematic, principally as a result
of the difficulties inherent in measuring the benefits and
costs associated with such investments (Ballantine et al,
1995a). The IS literature has begun to acknowledge the
extent of these problems, and has recognised the need to
consider the wider organizational context within which
evaluation takes place. As a result, a number of evalu-
ation techniques which attempt to take a broader per-
spective than the traditional financially-oriented tech-
niques have emerged. Despite these developments, there
is widespread agreement that there is a lack of evaluation
tools which effectively address the problems.
Symons and Walsham (1988) argue that IS/IT evalu-
ation is difficult because of the multi-dimensionality of
cause and effect and multiple, often divergent, evaluator
perspectives. Evaluation, they argue, should not simply
be viewed as a set of tools and techniques, but a process
which must be understood fully in order to be effective.
Angell and Smithson (1991) echo this by arguing that
‘evaluation of an IS cannot be an objective deterministic
process based on a positivist “scientific” paradigm, such
a “hard” quantitative approach to social systems is mis-
conceived’.
Approaches to evaluation
In an IS context, evaluation has been defined as the pro-
cess of ‘establishing by quantitative and/or qualitative
means the worth of IT to the organization’ (Willcocks,
1992). However, multiple purposes of evaluation are
recognised. Farbey et al (1993), for example, identify
that evaluation serves a number of objectives: as a means
of justifying investments; to enable organizations to
decide between competing projects, particularly if capi-
tal rationing is an issue; as a control mechanism,
enabling authority to be exercised over expenditure,
benefits, and the development and implementation of
projects; and as a learning device enabling improved
evaluation and systems development to take place in the
future. Others (Dawes, 1987; Ginzberg & Zmud, 1988)
identify similar rationales for IS/IT evaluation: to gain
information for project planning; to determine the rela-
tive merits of alternative projects; to ensure that systems
continue to perform well; and to enable decisions con-
cerning expansion, improvement, or postponement of
projects to be taken.
There are many documented approaches to IS/IT
evaluation. Powell (1992), for instance, develops a
classification which recognises objective and subjective
evaluation methods. Objective methods attempt to attach
values to system inputs and outputs, while subjective
methods consider wider aspects of evaluation such as
user attitudes. Objective methods (cost–benefit analysis
(CBA), value analysis, multiple criteria approaches,
simulation techniques, etc), he argues, endeavour to cat-
egorise the costs associated with information systems.
On the other hand, subjective methods (user attitude sur-
veys, event logging, delphi evidence, etc) ‘try to quantify
in order to differentiate between systems, but the quanti-
fication is of feelings, attitudes and perceptions’.
While a wealth of evaluation techniques are to be
found in the IS literature, many of these have focused
historically on quantitative, as opposed to qualitative,
approaches. Hirschheim and Smithson (1988) spell out
the dangers of such approaches which, they argue, can
Evaluating information systems in SMEs J Ballantine et al 243
lead to a positivistic rather than an interpretivistic
approach being taken. To counter this, more recent work
attempts to widen the IS/IT evaluation debate. As a
result, a number of models which recognise the context
of evaluation have been put forward. Information eco-
nomics (Parker et al, 1989), for example, introduces the
concepts of value, risk and human and management fac-
tors. Farbey et al (1993) discuss the use of multi-objec-
tive, multi-criteria methods which start from the assump-
tion that the worth of an IT project can be determined
in a measure other than money. The approach adopts a
stakeholder perspective, recognising alternative views of
stakeholders. Other techniques, for example, utilisation,
benchmarking, simulation, aggregate scoring techniques
and user attitude surveys, are also discussed in the litera-
ture.
Evaluation practice
The evaluation of IS/IT investments in practice is well-
documented (Blackler & Brown, 1988). However, the
majority of studies tend to concentrate on the extent to
which financial techniques, such as payback, net present
value and internal rate of return, are used to justify
investments. Hochstrasser (1992), recognises the limited
use of evaluation techniques in practice, suggesting that
there is a lack of available tools which aid management
with the task of evaluating, prioritising, monitoring and
controlling IS/IT investments. Farbey et al (1993) also
suggest that the range of evaluation methods used in
practice is limited.
The practice of evaluation is problematic for many
organizations. Willcocks (1992), for example, identifies
a number of major problems with evaluation practices
in the UK: budgeting practices tend to conceal full costs;
there is a failure to understand and budget for human
and organizational costs; knock-on costs are frequently
overstated; costs are overstated in order to ensure that
projects are developed within time and budget; there are
various problems associated with using traditional based
evaluation techniques; organizations often neglect intan-
gible benefits in the evaluation process; and finally, risk
is not fully investigated. Some of these problems are
confirmed by empirical studies (Tam, 1992; Ballantine
et al, 1995a). However, few of the issues are addressed
in the context of small firms. These are investigated in
the next section.
SMEs and evaluation: the issues
This paper examines how four manufacturing SMEs
make decisions on the development and implementation
of IS investments. The characteristics, including princi-
pal products, ownership, number of employees and turn-
over, of the firms are shown in Table 1. Also indicated
are the IS investments which were the subject of evalu-
ation. All the information systems have been purchased
within the last five years. In three cases the purchase
occurred more recently and implementation is only par-
tially complete (companies A, C and D). In two cases
(companies C and D) the decision to purchase an IS,
and the system actually chosen, was taken by the finance
director. In the case of company A the managing director
was instrumental in the purchase, while in company B
the operations manager was the driving force. A detailed
analysis of the four firms using Pascale and Athos’s
(1981) Seven-S model can be found in Appendix A. The
analysis of each SME has been carried out from the per-
spective of the role of information systems in the organi-
zation as proposed by Galliers and Sutherland (1991).
The following sections identify a set of evaluation
issues which, when compared to the extant literature, are
seen to be specific to the type of organization concerned.
These include: the lack of both a business and IS/IT
strategy; limited access to capital resources; a focus on
using IS/IT to automate as opposed to informate; a lack
of planning effort; the nature of the relationship between
the organization and its principal customers; limited
information skills; and finally, a lack of focus on inte-
gration of IS/IT.
Business and IS/IT strategy
The IS literature recognises that evaluation of IS/IT
investments should be aligned closely with an organiza-
tion’s IS/IT strategy, and also the need to align IS/IT
strategy with business strategy. The SMEs studied do
not have a clearly defined IS/IT or business strategy.
However, while no explicit strategy exists, an implicit
one often does. For all firms the strategy is one of sur-
vival (see Appendix A) leading to a focus on efficiency
and cost reduction. Despite these implicit strategies,
problems still exist as the strategy itself is neither writ-
ten, nor indeed in one case, imparted to senior manage-
ment. Lederer and Mendelow (1986) identify this as a
problem for IS/IT developers in larger organizations
where corporate strategy may neither be formed fully nor
communicated. For example, in company C the finance
director was unaware that the parent company was con-
sidering relocating production to the developing world,
leaving the UK to focus on product design. Company
B’s decision to purchase IS was a reaction to the need
for more information about production in an increasingly
growing and complicated business, as opposed to stra-
tegic considerations. This concurs with Hagmann and
McCahon (1993) who report that fewer than 30% of the
300 SMEs they studied undertook any strategic planning.
Hagmann and McCahon also find that fewer than 50%
of the SMEs that owned or planned to purchase a spe-
cific IS devoted any significant planning effort to it. IS
planning encapsulates not just the purchase of infor-
mation systems, but concomitant issues such as manage-
ment of the systems, organizational changes and inte-
gration with current technology architectures (Galliers,
244 Evaluating information systems in SMEs J Ballantine et al
Table 1 Characteristics of SMEs
Company Product Ownership Employees Turnover Information Systems
A Car springs Originally family 112 £4.5m AS400 with MRP system; MD has
owned now part of PC-based performance measurement
US group system
B Light Family owned 130 £5m AS400 with MRP system, networked
fittings terminals. Three EDI systems, one
linked to MRP system
C Precision Originally family 24 £1.6m AS400 with MRP system. Finance
tools owned now part of Director has standalone PC with
German group spreadsheet. Marketing department
have standalone PC. Standalone
CAD/CAM system
D Clutch Family owned 285 £12m AS400 with MRP system. EDI link
assemblies with major customer also used of
CAD transfer. Not linked to MRP.
Finance director has stand-alone PC-
based performance measurement
system
1991). Indeed, Galliers (1991) recommends that the
organization’s information requirements should be the
key driver for information systems. The purchase of an
MRP system formed the main recent effort of all the
SMEs here. In company A the managing director was
looking for efficiency improvements and asked a con-
sultant for advice. However, organizational change,
training and human resource issues were not considered
and the MRP system merely provides some information
about inventory levels. There was no consideration about
systems integration, flexibility or growth.
The lack of strategic planning, both business and
IS/IT, which takes place in SMEs, has implications for
IS/IT evaluation. One major implication is the lack of a
clear yardstick or objective against which to measure the
feasibility of potential IS and guide the decision process.
The investment decisions of the four SMEs were made
using purely financial criteria. In particular, the extent
to which the potential system would affect the level of
turnover as a result of investment was widely used.
However, the use of crude financial criteria and sub-
sequent financial techniques of evaluation are likely to
preclude the incorporation of other factors critical to suc-
cess, including, quality and flexibility. However, as fin-
ancial measures such as turnover might, indeed, reflect
SMEs’ critical success factors, the problems of using
solely financial techniques may be somewhat less than
for larger organizations.
Limited access to capital resources
Access to capital by SMEs is often limited due to restric-
ted sources of financing in terms of borrowing or equity.
Blili and Raymond (1993) recognise that this sub-
sequently leads to weakness in ‘financing, planning, con-
trol and information systems and training’. Both com-
pany A and C are owned by larger groups which provide
capital without the need for borrowing. Both A and C
had to make business cases for the investment in IS and
justify the cost in terms of improving efficiency. Com-
pany B, however, was constrained by limited funds
while needing to satisfy quality demands of its, at that
time, only customer. They worked with a local software
supplier to develop an MRP system and effectively acted
as a test site for the developer that hoped to sell the
system to others. Therefore, less capital was employed
than might otherwise have been required. Company D
was able to take advantage of the availability of grants
from local and central government to relocate their fac-
tory on the basis of creating employment in a deprived
area. This capital injection enabled the company to pur-
chase its MRP system.
There are a number of implications for evaluation
practice of limited capital resources. First, there is a limit
to the number of investments which are normally evalu-
ated at any time. In all four cases, only MRP systems
were being considered. As a result there is less need to
use an evaluation technique which facilitates prioritis-
ation of projects. Thus, techniques of evaluation which
consider a single investment in isolation may suffice.
The associated weaknesses in planning and control of
information systems of SMEs additionally results in a
lack of feedback on IS/IT investments such that they are
unlikely to be able to identify whether anticipated bene-
fits have been achieved, and if not, why. The advantages
of evaluation in terms of providing feedback for control
purposes, in addition to feedforward for planning, are
Evaluating information systems in SMEs J Ballantine et al 245
unlikely to be achieved by SMEs. A further implication
is the resulting emphasis placed on the development of
incremental systems. This is confirmed by Hashmi and
Cuddy (1990) who find that developments in SMEs are
largely incremental, both for management information
systems and advanced manufacturing systems.
Emphasis on automating
In the SMEs researched here there is a greater emphasis
on using IS/IT to automate rather than informate
(Zuboff, 1988). This is particularly evident in the type
of information systems invested in. The predominant
systems are MRP, generally used in a productivity strat-
egy (Hashmi & Cuddy, 1990), their primary function
being to improve efficiency through automation of trans-
action processing systems. Hence their focus is on
achieving existing productivity levels for a lower lab-
our cost.
Application of the McFarlan–McKenney grid to the
SMEs indicates the role of information systems (see Fig-
ure 1) which are primarily directed at supporting oper-
ations as opposed to providing management information.
For example, company A can obtain management reports
from the production support system, but they tend to be
very detailed, necessitating the re-entry of data to a spre-
adsheet to provide summary reports. The MRP system
is only used to identify stock and raw material avail-
ability, it is not used to plan production. A similar situ-
ation occurs in company B where the detailed reports
from the production support system require considerable
manual analysis by a manager to derive any useful infor-
mation. Company C, having purchased an MRP system
has not yet fully implemented it. The MRP system is
designed to manage the accounts, customer and suppliers
details as well as stock control. They are gradually
Figure 1 The role of information systems.
implementing the system, meanwhile they are working
with a batch stock control system and paper files. Com-
pany D is in a similar position to company A, with re-
entry of data required to provide quality measurement
information about the product and process required to
satisfy customers and improve the business.
To summarise, the SMEs recognise the need for good
operational systems to ensure that they can deliver to
customers on time. The data is generally used to manage
the operational process effectively. However, there is
very little attempt to gain any added value from this
information except for pressure from customers requir-
ing quality information. Evaluation of IS is, therefore,
only based on whether they will provide information to
improve efficiency. The potential for learning and devel-
opment for the SMEs is unlikely to be evaluated.
Influence of major customers
An issue which increases the problematic nature of
evaluation in the SMEs is the influence of key cus-
tomers. This is particularly marked, for example, where
a condition of being a supplier to a major company is
that electronic data interchange (EDI) is implemented.
In this case the choice of system rests not with the SME
but with the customer. Thus, the SME is ‘forced’ to
make an investment decision over which they have little
or no control. Here, evaluation is not seen as an issue
by the companies who implemented EDI systems. For
example, company D was required by one of its major
customers to introduce EDI which enabled automatic
order processing and design processing through com-
puter aided design (CAD). The requirement to evaluate
the costs of developing an interface to their major cus-
tomer was not considered; rather, it was a necessity. In
addition, company D was unable to consider alternative
246 Evaluating information systems in SMEs J Ballantine et al
interfaces which might have given them future flexibility
to add other customers. As a result they are locked into
the software supplier who developed the interface. Com-
pany B has also gone through similar experiences. The
company had, until recently, three major customers, to
one of which they have been the prime supplier for many
years. An EDI link was developed with this firm several
years ago. However, this customer decided to diversify
its supplier base with the result that company B has been
forced to seek other customers. Despite success in ident-
ifying another major customer, a further EDI system has
had to be purchased. Company C works more informally
with its customers although it is being put under con-
siderable pressure by a major customer to purchase EDI.
They are reluctant to make the investment on cost
grounds as they are only turning round the company after
the recession and cannot readily see benefits from the
introduction of EDI.
The experiences of the SMEs here reinforces the
influence of major customers on SMEs, which has impli-
cations for IS evaluation. For example, it may be more
appropriate in these circumstances to carry out collabor-
ative evaluations with the business partner concerned.
Alternatively, if SMEs are required to adopt systems and
are given little or no say over the investment decision,
then evaluation is unlikely to be a worthwhile exercise
beyond simply assessing its affordability.
Limited information systems skills
A further difficulty SMEs face is limited information
systems skills. In selecting IS, SMEs are dependent on
external consultants and software companies. Whilst the
managers of the SMEs here are generally comfortable
with their understanding of the business, and, therefore,
their information requirements, they are largely depen-
dent on external sources for advice on appropriate hard-
ware and software. Company A, for example, recognised
that it could not continue to process its accounts manu-
ally after acquiring a number of smaller competitors. The
managing director accepted that his knowledge of IS was
limited and employed an independent consultant to
undertake a systems analysis. As a result, an accounting
package was purchased on the consultant’s recommen-
dation. Evaluation of the system was, however, based
purely on the extent to which it was capable of pro-
cessing accounting information within the limited budget
available. Further systems development is being under-
taken by the operations manager who is self-taught.
Company B is reliant on a software supplier who is a
sole trader. There is some concern as the health of the
supplier is in some doubt. Company B has a considerable
amount of operational data, but it cannot easily be
extracted in a format useful to managers. For example,
the operations manager spends three days a month ana-
lysing stock discrepancies manually, a task that could be
carried out automatically by a report program. However,
it is seen as difficult to amend the system. Company C,
again, is reliant on the software supplier to provide sup-
port and advice. The company is continually under
pressure to take the latest updates and changes by the
software company. Company C takes the view that they
will make no changes until forced by the threat of no
further support for that part of the system. Company D
has a part-time programmer who changes the system as
required by management. On the positive side in all the
SMEs, senior management have spreadsheet skills and
are able to undertake detailed financial analyses as
required. However, this requires the re-entering of data
as the spreadsheets are not integrated with operational
systems.
Limited IS skills in SMEs have implications for evalu-
ation. There is a reliance and dependence on outsiders to
provide both technical and systems advice and support.
Outsiders, especially small suppliers, are unlikely to
have a breadth of experience in system development, or
if they do it is likely to be from the structured school
of development methods which do not consider a wide
range of stakeholders and tend to produce inflexible sys-
tems based on a limited understanding of the current and
future business. Thus, the evaluation procedures they
adopt are likely to be objectively-based.
Effects on evaluation practice: SMEs and large firms
Findings from the four cases suggest that SME charac-
teristics have implications for evaluation practices.
Additionally, the focus of evaluation in SMEs differs
from that found in larger organizations. The prime driv-
ers for investment are pressure from customers and an
emphasis on improving efficiency. Evaluation decisions
are also made in isolation, in that the decision to invest
in an IS is not made in competition with other systems.
Limited strategic planning means that information sys-
tems are purchased as required, hence their evaluation
may be assessed more by financial criteria than might
be the case with larger companies. There is no evidence
of intangible costs being assessed, indeed financial con-
sideration of the cost of the system is the main criterion
by which it is judged.
Discussion
This section presents two frameworks; the first is used
to understand more fully why SMEs might adopt a parti-
cular type of evaluation practice; while the second pro-
vides a structure within which future research might
address the issues. The paper concludes by developing
a set of propositions which constitute a research agenda
for IS evaluation in SMEs.
Ballantine et al (1995b) present a framework used
here as a means of explaining and understanding the
evaluation approaches adopted in SMEs. Table 2 sets
out the framework which recognises the extent to which
Evaluating information systems in SMEs J Ballantine et al 247
Table 2 Approaches to evaluation
Method of Little consideration of Much consideration of
evaluation process of evaluation process of evaluation
Standard Routine accounting Sceptical use of
models accounting models
e.g. NPV, CBA,
Non- ‘Strategic’, naive Considered approach
standard
organizations consider the process of evaluation, and the
subsequent use of standard or non-standard evaluation
approaches for capital investments. While the framework
considers the arguments for adopting standard versus
non-standard approaches to evaluation for all capital
investments, it can also be used to understand further
why SMEs have adopted the particular evaluation prac-
tices evidenced here.
The framework identifies four alternative approaches
to evaluation, each characterised by either the use of a
standard or non-standard evaluation method, and the
degree to which the process of evaluation is considered.
For example, organizations that give little consideration
to the process of evaluation are likely to use standard
evaluation methods, such as routine accounting models,
for evaluating all capital investments.
The ‘blind’ use of a standard approach to evaluation
may be the result of a lack of knowledge of the process
or tools of evaluation, or of the project itself. The former
would be more likely to occur in SMEs or in those which
do not regularly carry out evaluation. A lack of data or
knowledge about the project itself may reflect its novelty
or the firm’s lack of desire to commit resources to plan-
ning. Other reasons for using a standard approach might
be that SMEs see themselves as followers of a particular
technology, not leaders, hence evaluation has already
been done for them by others and they can clearly see
the results of implementing the technology elsewhere.
Organizations that give much consideration to the
evaluation process yet use standard evaluation
approaches might do so because they recognise that it is
appropriate to adopt a standard approach on the grounds
of equity. Alternatively they might recognise that, while
sceptical of using standard methods, either no alternative
is available, or there are no justifiable reasons for the
adoption of non-standard evaluation practices.
Organizations that give little consideration to the
evaluation process, yet use a non-standard approach
might do so on the basis that IT/IS is almost always in
some way strategic. Alternatively, a rigid approach to
evaluation might not fit with the organization’s culture,
or the evaluators do not consistently believe in the pro-
cess, the methods, or the outcomes of using a standard
approach. Finally, IT/IS budgets may be infrequent and
ad hoc so that consistent evaluation practice is not feas-
ible.
In the final quadrant are those organizations that give
much consideration to the process yet use a non-standard
approach to evaluation. The overwhelming reason why
organizations might fall within this quadrant revolve
around the argument that at any time the range of invest-
ments considered by an organization are so varied that
a standard approach is unlikely to encapsulate all sig-
nificant features which need to be considered in the
evaluation process.
The evaluation practices examined in this research
suggest that SMEs fall in the quadrant using a standard
evaluation approach after little consideration of the pro-
cess. Indeed, the study confirms that little consideration
of the evaluation process is undertaken. This, however,
is a function of a number of factors including a lack
of business and IS/IT strategy; limited access to capital
resources; and limited skills within the organizations.
Further, the emphasis in the SMEs here is on the adop-
tion of a homogeneous technology, which is primarily
used to automate, adds further to the argument for adopt-
ing a standard evaluation approach for all IS invest-
ments. It would be informative to see whether a standard
approach is also adopted for evaluating other capital
investments, and the extent to which that approach is
similar to the one adopted for IS.
Farbey et al (1993) developed a framework of evalu-
ation which enables the benefits of IS to be analysed
from an organizational perspective. The framework,
derived from Mintzberg’s (1983) model of organiza-
tional structure, is shown in Figure 2. Farbey et al make
the point that the benefits of an IS investment may be
seen from different perspectives, by different parts of the
organization, and that there is, therefore, a need to con-
sider them holistically.
However, attempts to apply the model to SMEs in its
current form is fruitless given the five issues discussed
earlier. The model may, however, be adapted for use in
SMEs (see Figure 3).
As discussed, the SMEs here do not have a clear view
Figure 2 Source: Farbey et al (1993).
248 Evaluating information systems in SMEs J Ballantine et al
Figure 3 Source: adapted from Farbey et al (1993).
of their strategic direction, which results in a failure to
use IS/IT as a competitive tool. Therefore, while not at
odds with Farbey et al on the importance of strategic
benefits, the lack of strategic direction and emphasis on
efficiency in SMEs mean that little attention is given to
strategic evaluation. The technostructure is defined by
Farbey et al as those ‘people whose function it is to
influence the way people work’ and would include indi-
viduals such as operational researchers. However, the
experiences of the four SMEs here suggests there is little
reflection on the way work is carried out within the
organization. Rather, there are more urgent pressures in
SMEs which leave little time for reflective thought con-
cerning the effectiveness of operations. Therefore evalu-
ation of the technostructure in SMEs is unlikely to be
an issue.
Farbey et al (1993) recognise three further categories
of IS benefits which are not encapsulated by Mintzberg’s
model of organizational structure: information benefits;
communication benefits; and learning benefits
(Mintzberg, 1983). However, the evidence here suggests
that SMEs principally use information as a means of
improving productivity and not as a means of enhancing
communication and learning, which makes the three
additional categories of benefits of less relevance.
Further, the limited access to management information
in SMEs makes it unlikely that the feedforward element
of evaluation implied by the strategic and technostruc-
ture elements of the Farbey model would be considered
by SMEs. Thus, the Farbey et al model may be adapted
for examining evaluation in SMEs by excluding the stra-
tegic and technostructure elements.
The findings of the cases suggest that the evaluation
of tactical objectives, operational objectives and service
provision are more appropriate to SME evaluation given
the issues discussed earlier.
Research agenda
This paper has identified five issues influencing the IS/IT
evaluation processes in SMEs: a lack of business and
IS/IT strategy; limited access to capital resources;
emphasis on automating; influence of major customers;
and limited information skills. This section develops a
set of propositions which constitute a research agenda
for further examining evaluation practices in SMEs.
The absence of an explicit business and IS/IT strategy
within SMEs suggests that:
Proposition 1: SMEs will adopt less formal capital invest-
ment decision-making processes than larger organizations.
Since planning activities are minimal in SMEs, the
resulting lack of clear objectives against which to evalu-
ate potential investments is likely to lead to less con-
sideration of the process of evaluation and the strategic
benefits of IS (Farbey et al, 1993) than is evident in
larger organizations. Similarly, SMEs are more likely to
make investment decisions which are based on flawed
decision processes since the evaluation approach
adopted is unlikely to be documented, adding further to
the adoption of ad-hoc, inconsistent and informal
approaches to evaluation. However, the lack of strategy
further suggests that:
Proposition 2: SMEs are poorer in their ability to identify
when investments in IS/IT might be used to gain strategic
advantage than large companies.
The absence of an explicit business strategy implies
not only a lack of clearly defined business objectives, but
also the absence of a clearly defined means of achieving
objectives. Given this, SMEs are unlikely to recognise
the strategic importance of potential IS/IT investments
which might surface as a result of engaging in a strategic
planning process. Additionally, lack of strategy will not
facilitate an understanding, and realisation, of the tech-
nostructure benefits (Mintzberg, 1983) of potential IS
investments in SMEs.
Additionally:
Proposition 3a: the absence of a business and IS/IT strategy
leads to greater emphasis on individual projects, as opposed
to portfolio effects of IS/IT projects in SMEs.
This approach to evaluation encourages organizations to
consider IS/IT investments in isolation, largely ignoring
the holistic nature of such systems, which implies an
inability to reap the synergistic benefits of IS/IT invest-
ments which might otherwise accrue.
Following Proposition 3a, limited access to capital
resources within SMEs suggests that:
Proposition 3b: SMEs need not adopt evaluation processes
which facilitate prioritisation of IS/IT investments.
However, the adoption of such an approach to evalu-
ation might further encourage organizations to ignore the
synergistic effects which a portfolio of investments
Evaluating information systems in SMEs J Ballantine et al 249
might deliver, which, in turn, further emphasises the
development of incremental systems.
Given a lack of strategy:
Proposition 4: SMEs are unlikely to view the IS/IT evalu-
ation process as a learning mechanism.
The emphasis of evaluation in SMEs is more likely
to be one of control rather than learning. As a result, the
learning benefits of IS identified by Farbey et al (1993)
are unlikely to be considered in the evaluation process.
However, the extent to which control mechanisms exist
and are effective in SMEs is an area which requires
more examination.
The emphasis in SMEs on automating as opposed to
informating leads to the conclusion that:
Proposition 5a: financial techniques of evaluation are more
appropriate for evaluating investments in IS/IT in SMEs
than in large organizations as these reflect the nature of pro-
jects invested in.
Investment in automation projects is normally under-
taken in order to achieve cost efficiencies. Thus, finan-
cial evaluation techniques which primarily focus on the
identification of quantifiable costs and benefits are more
likely to be appropriate methods of evaluation for such
investments.
In addition:
Proposition 5b: financial evaluation techniques are appro-
priate for evaluating investments in IS/IT in SMEs as these
techniques reflect the factors critical to the success of
SMEs themselves.
The critical success factors reflecting SMEs survival,
and ultimately success, include, for example, short term
liquidity, profitability and cash flow. Thus, financial
techniques of evaluation which emphasise these aspects
are more appropriate for the purposes of evaluation in
SMEs. For example, the extensive usage of payback as
a means of evaluating IS/IT investments is well-docu-
mented in the literature. The use of payback recognises
the need to recoup the original investment within a per-
iod of time (on average two years for IS/IT investments
in the UK). The payback approach, thus, emphasises the
importance of liquidity and so it is likely to be an appro-
priate technique of evaluation since it reflects one of the
critical success factors of SMEs.
As discussed, many SMEs are heavily influenced by
their major customers in terms of the systems they are
required to adopt. This suggests that:
Proposition 6: customer influences in SMEs are more likely
to lead to decisions which are based on a ‘got-to-do’ basis,
rather than on a formal, rational decision process.
Where major customers exert considerable influence
over SMEs in terms of the systems they are required to
adopt, decisions regarding the adoption of a particular
technology is best taken on the basis of efficiency criteria
or no evaluation where the customer has specified a
particular system as a pre-requisite for trading. This
reiterates the earlier arguments that financial techniques
are possibly more appropriate techniques of evaluation
in SMEs than other more qualitative techniques.
The lack of information skills within SMEs suggests
that:
Proposition 7a: SMEs exhibit much greater reliance on the
IS/IT decision-making processes of external bodies (for
example, consultants, software companies, and external
accountants) than large companies.
Reliance is primarily due to a lack of internal IS skills
and few IS personnel in SMEs. This leads to the final
proposition:
Proposition 7b: SMEs are more likely to invest in industry
standards and established systems than large companies.
For example, SMEs will invest in technologies which
have been subjected to testing by others in the industry.
In addition, they are also more likely to purchase
software which has been extensively tried and tested, as
opposed to developing bespoke software or recently
developed off-the-shelf software.
The propositions discussed above constitute a research
agenda for further examining evaluation practices in
SMEs. Research is needed to investigate further how
evaluation practices differ between SMEs and larger
organizations, and the extent to which the evaluation
issues described earlier hinder SMEs from using IS/IT
strategically. In addition, as small firms are likely to
behave in diverse ways, future research should contrast
the evaluation practices of SMEs which exhibit many of
the problems outlined earlier with those which do not.
The best way to progress such research is likely to
involve a pluralistic approach.
Conclusions
In conclusion, this paper argues that organizational size
is a factor which has largely been ignored in IS evalu-
ation research to date. Further research is needed to
examine the extent to which size influences the adoption
of particular evaluation practices. Two frameworks are
also discussed as a means of structuring and exploring
future research. Finally, the paper has presented a set of
propositions which constitute a research agenda.
250 Evaluating information systems in SMEs J Ballantine et al
References
Angell IO and Smithson S (1991) Evaluation, monitoring and con-
trol. In Information Systems Management: Opportunities and Risks.
p 3, MacMillan.
Ballantine JA, Galliers RD and Stray S (1995a) The use and
importance of financial appraisal techniques in the IS/IT investment
decision-making process. Project Appraisal 10(4), 233–241.
Ballantine JA, Galliers RD and Powell P (1995b) Daring to be
different, capital appraisal and technology investments: In Proceed-
ings of the Third European Conference on Information Systems
(Doukidis G et al, Eds), 1, pp 87–98, Athens, Greece.
Blackler F and Brown C (1988) Theory and practice in evaluation:
the case of the new information technologies. In Information Systems
Assessment: Issues and Challenges (Bjorn-Anderson N and Davis
BB, Eds), pp 351–374, Oxford, North Holland, Amsterdam.
Blili S and Raymond L (1993) Information technology: threats and
opportunities for small and medium-sized enterprises. International
Journal of Information Management 13, 439– 448.
Dawes GM (1987) Information systems assessment: post implemen-
tation practice. Journal of Applied Systems Analysis 14, 53–62.
Dickson GW and Nechis M (1984) Key information systems issues
for the 1980’s. MIS Quarterly 8(3), 135–149.
Farbey B, Land F and Targett D (1993) IT Investment A study of
Methods and Practice. Butterworth Heinemann.
Galliers RD (1991) Strategic information systems planning: myths,
reality and guidelines for successful implementation. European
Journal of Information Systems 1(1), 55–64.
Galliers RD and Sutherland A (1991) Information systems man-
agement and strategy formulation: the stages of growth model
revisited. Journal of Information Systems 1(1), 89–114.
Ginzberg MJ and Zmud RW (1988) Evolving criteria for information
systems assessment. In Information Systems Assessment: Issues and
Challenges (Bjorn-Anderson N and Davis GB, Eds), pp 41–52.
Hagmann C and McCahon C (1993) Strategic information systems
and competitiveness. Information and Management 25, 183–192.
Hashmi MS and Cuddy J (1990) Strategic initiatives for introducing
CIM technologies in Irish SMEs. In Computer Integrated Manufac-
turing—Proceedings of the 6th CIM-Europe Annual Conference
(Faria L, Ed), 15–17 May 1990, Lisbon, Portugal, Van Puym-
broeck, Springer Verlag.
Appendix A
Company A Company B Company C Company D
Strategy Production and Production oriented Production oriented Production and
performance oriented performance oriented
Structure Managing Director Senior manager Senior manager Senior manager
responsible for responsible for responsible for responsible for
purchasing. purchasing. purchasing. purchasing.
Operations manager No internal IS No internal IS Part-time programmer
responsible for on-going organization organisation for additional systems
systems development development.
Systems MRP package MRP package purchased MRP package MRP package
purchased; only partially and developed with purchased; only purchased; only
implemented. Interface small software supplier partially partially
being developed with implemented. implemented.
estimating system Spreadsheet software Spreadsheet software
available but not available but not
integrated integrated
Hirschheim R and Smithson S (1988) A critical analysis of infor-
mation systems evaluation. In Information Systems Assessment:
Issues and Challenges (Bjorn-Anderson N and Davis GB, eds),
pp 17–37, Oxford, North Holland, Amsterdam.
Hochstrasser B (1992) Justifying IT Investments. Advanced Infor-
mation Systems, The New Technologies in Today’s Business
Environment, Proceedings, 17–28.
Lederer AL and Mendelow A (1986) Issues in information systems
planning. Information and Management 10, 245–254.
Mintzberg H (1983) Structure in Fives: Designing Effective Organis-
ations. Prentice Hall International Inc, Englewood Cliffs, New Jer-
sey.
NatWest Review of Small Business Trends (1992) Small Business
Trust 2(1), xii.
Niederman F, Brancheau JC and Wetherbe JC (1991) Information
Systems Management Issues for the 1990’s. MIS Quarterly 15(4),
475–499.
Pascale RT and Athos AG (1981) The Art of Japanese Management.
Penguin, Harmondsworth.
Parker MM, Trainor HE and Benson RJ (1989) Information Strat-
egy and Economics. Prentice-Hall, US.
Powell P (1992) IT Evaluation: Is It Different? Journal of the Oper-
ations Research Society 43(1), 29–42.
Price Waterhouse (1992) Information Technology Review
1991/92, London.
Storey DJ and Cressy R (1995) Small Business Risk: A Firm and
Bank Perspective. Working Paper. SME Centre, Warwick Busi-
ness School.
Storey DJ (1995) Understanding the Small Business Sector. Rout-
ledge, London.
Symons V and Walsham G (1988) The Evaluation of Information
Systems: A Critique. Journal of Applied Systems Analysis 15,
119–132.
Tam KY (1992) Capital budgeting in information systems develop-
ment. Information and Management 23, 345–357.
Willcocks L (1992) Evaluating information technology investments,
research findings and reappraisal. Journal of Information Systems 2,
243–268.
Zuboff S (1988) The Age of the Smart Machine. Heinemann Pro-
fessional Publishing, Oxford, UK.