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ERP
Systems Implementation: Drivers of Post-Implementation Success
Andreas
I. Nicolaou
Department
of Accounting and Management Information Systems
Bowling
Green State University
Bowling
Green, Ohio 43403, USA
Email:
anicol@cba.bgsu.edu
Abstract
This
paper examines the determinants of success during the post-implementation
stage of ERP systems and identifies
drivers that contribute to successful implementations. The
present study employs past literature to identify
important factors and utilizes a qualitative research approach
in validating their potential importance in successful
ERP system implementations. Insights from the analysis of
two case studies are used to validate the
importance of such drivers of success during the post-implementation
stage of a system. The study presents important
implications useful in the development of conceptual research
models for ERP system success.
1. INTRODUCTION
Information
systems development has been conceptualized in past research
as a process that leads to a decision about
the choice, design and development of an information system
(e.g., Nicolaou 1999). Past research findings
suggest that the effectiveness or success of an information
system depends on a variety of factors, most importantly
those relating to the extent of user participation and involvement
in system development, the extent of business
process and needs assessment during the analysis stage of
the systems development process, and the level
of data integration designed into the system (e.g., Govindarajan
and Fisher 1990; Nicolaou 2000; Zaheer and
Venkatraman 1994). In a similar fashion, researchers in
the fields of management decision making have promoted
the shared assumption that a better designed information
system would contribute to the efficiency with
which organizational functions are carried out and the effectiveness
of attaining desired outcomes (e.g., Galbraith
1995). Consequently, the factors that influence the process
of system development would also have a significant
effect on both organizational performance and user perceptions
about the system after its implementation
and continued use in an organization, that is, during its
post-implementation stage.
The
post-implementation stage in a system’s life cycle
encompasses a number of processes that are critical for
a system’s
success. Following the implementation of the system, an
organization would engage in a number of activities,
such as post-implementation review, support and maintenance
(e.g., Gelinas and Sutton 2002). The focus
of this paper is on the factors that drive successful implementations
during the post-implementation process
of an ERP system. Even though past literature has provided
a useful descriptive analysis of the post-implementation process
(Benchmarking Partners 1998; Holland and Light 2001; James
and Wolf 2000; Peterson, Gelman and Cooke 2001), the focus
has mostly been on the development of stage models that
describe a set of sequential activities useful for the planning
of future actions and not on the examination and understanding
of factors that contribute to process effectiveness. In
a stage model of system development, the success of the
post-implemenation process is heavily dependent on the quality
of the implementation process
itself
and on its effectiveness to influence appropriate modifications
or enhancements that can improve the performance
of the system or improve the project management and system
development processes.
With the recent
expansion in the number of organizations using enterprise-wide
systems, including both large and small organizations,
and the web-based capabilities they now offer, the successful
implementation of these systems has
become a critical issue. In addition, a very significant
investment in resources is required for the implementation
of ERP systems, while the realization of system benefits
is reported to significantly lag expectations
(Benchmarking Partners 1998; Meta Group 1999; Peterson et
al. 2001). As a result, the issue of successful
implementations, as evaluated during the post-implementation
process and the potential effects on the
realization of potential system outcomes, provide a solid
motivation for the present study.
2. REVIEW OF LITERATURE
ERP
systems are organized around the basic economic rationale
of the enterprise value chain. They are designed
around a process view of the business, and they contain
data useful in the value accumulation sequence.
It is widely reported in the literature that enterprise-wide
applications promise seamless integration of all
information flowing through a company: accounting and financial
information, human resource information,
supply chain information, and customer information (Davenport
1998; Kumar and Van Hillegersberg
2000). Several studies on ERP implementation (Murray and
Coffin 2001; Ross and Vitale 2000; Scott
and Vessey 2000; Soh, Kieh and Tay-Yap 2000; Stephanou 2000)
have identified such issues as top management
support, an effective implementation team, organizational-wide
commitment to the system, and the
effective resolution of misalignments between organizational
needs and the ERP package functionality, as critical
factors for the success of an ERP implementation project.
2.1
Expected Benefits from ERP Systems Implementation
ERPs
are designed to help manage organizational resources in
an integrated manner. The primary benefits that are
expected to result from their implementation are closely
related to the level of integration that is promoted across
functions in an enterprise. The professional literature
has been proactive in determining the types of benefits
that companies might anticipate from their ERP systems and
to what extent organizations had actually attained
those benefits on a post-implementation basis. Expectations
for improved business performance after adoption
may result from both operational and strategic benefits
(Irving 1999; Jenson and Johnson 1999). In the
Benchmarking Partners study (1998), respondent companies
anticipated both tangible and intangible benefits.
The most significant intangible benefits related to internal
integration, improved information and processes,
and improved customer service, while tangible benefits related
to cost efficiencies in inventory, personnel,
procurement and the time needed to close books, as well
as improvements in productivity, cash/order
management, and overall profitability. In assessing the
extent to which they had actually attained those
benefits, however, on a post-implementation basis, it was
evident that they were not able to improve profitability
or lower personnel, inventories, or system maintenance costs
as much as they had hoped. On the other
hand, respondents noted better-than-expected results in
overall productivity and in order-management cycle
time, as well as procurement, on-time delivery, and the
ability to close financial cycles. Likewise, in the Conference
Board study (Peterson et al. 2001), responding companies
reported anticipating similar types of tangible
and intangible benefits, although it was evident that the
realization of those benefits required more time
than expected.
2.2
Factors of Failure in ERP Systems Implementation
An AMR
research study (Carlino, Nelson and Smith 2000) has projected
that the enterprise applications market
will reach $79 billion by 2004. Despite such huge investments
in ERP systems, many implementations have
been plagued with failure. In a survey of 63 large Fortune
500 companies, META Group (1999) reports that
over a five to six year period, the average company incurred
a negative return of $1.5 million from the ERP
system implementation. In addition, the average implementation
time for a full-blown ERP system was twenty-three
months, at a cost of $10.6 million for the implementation
and another $2.1 million for maintenance
over a two-year period (Meta Group 1999). In addition, several
case studies exist of companies that
were led into severe financial distress because of system
integration problems after the implementation of ERP
systems. For example, Unisource Worldwide, Inc., wrote off
$168 million in costs related to an abandoned
implementation of SAP software (Stein 1998). The computer
integration problems that FoxMeyer Health
Corp. has faced after the implementation of SAP software,
have led the company to a bankruptcy filing, instead
of realizing the expected benefits of cost reduction, improved
inventory turnover and increased availability
of useful information (Hyde 1996). Several other high profile
ERP projects such as Dell Computer Corp.,
Dow Chemical, Hershey Food Cooperation, Whirlpool and Gore-text
have also failed to implement an ERP
package as intended (Davenport 1998). In some cases, companies
lost not only the capital invested in ERP,
but also a portion of their business. As a result, there
is some skepticism associated with the ability of ERP
projects to deliver anticipated benefits (Bingi et al. 1999;
Gable 1998; Mabert et al. 2001). An important reason
for these failures is that the implemented ERP systems suffer
from system integration problems; the lack of alignment
between people, processes, and the new technology, preclude
an organization from realizing anticipated
benefits or even to recover the cost of the implementation
effort (e.g., Davenport 1998).
Moreover,
the initial justification that drives the development of
an ERP system also is considered an important reason
for success or failure (Peterson et al. 2001). System-led
implementations have a higher incidence of failure
compared to those that are business-led. Yet, many ERP initiatives
are still systems-driven, with the great
majority of non-quantifiable business cases being focused
on system issues, such as replacing legacy systems
and attaining systems integration (Peterson et al. 2001).
Likewise, the Meta Group survey reports that system
implementation is most often justified on the need to improve
internal integration, to support growth, and
to support new processes or a changed business model in
a firm’s supply chain (Meta Group 1999). For systems-led
implementation efforts, it is often hard to measure and
evaluate attainment of anticipated benefits, easier
to distract from the original system scope, and business
benefits lag in terms of their realization due to adjustments
needed in the system’s post-implementation phase.
Furthermore,
it is also widely recognized that lack of user training
and failure to completely understand how enterprise
applications change business processes are important factors
of failure (Wilder and Davis 1998). According
to the Benchmarking Partners (1998) report, major “go-live”
surprises that companies experienced related
to the fact that it was difficult for people to grasp the
degree of discipline that was required on a daily basis
due to the degree of integration imposed by the ERP system.
Users could not fully realize that their actions
now had an immediate impact on downstream operations. Companies
were also surprised by the knowledge
gap between the training employed and what people needed
to work effectively with the new ERP system.
Training might have been provided too early, or there was
not enough, or the wrong training was provided.
The sheer volume of training overwhelmed some users, while
others were further confused by the lack
of training about the context of the new capability from
a business standpoint.
Despite
its risks, ERP implementation is pervasive in many different
types of industries (Kumar and Van Hillegersberg
2000; Mabert et al. 2000). The goals of ERP systems implementation
extend beyond internal business
process integration to external connectivity and support
of a firm’s value chain activities. ERP vendors
are changing their business model as they move toward a
component strategy, often web-based, that separates
ERP systems into modules that can be adopted individually,
thus permitting small and medium sized businesses
to adopt such systems and improve their operations (Sprott
2000). McCarthy et al. (1996) also support
this argument by suggesting that ERP systems must retain
their enterprise objective but must adopt a much
simpler and flexible implementation. There seems to be consensus
on the need for interoperable components
that can be customized to model a particular enterprise
as close as possible to its actual way of doing
business.
Given
the significance and risk of ERP projects, it is essential
that research examines methods to improve ERP implementation.
This research will focus on the issue of examining success
factors during the postimplementation review
process. A well-planned and executed post-implementation
review of the ERP system implementation,
should assist organizations to effect needed changes in
organizational plans and processes, avoid
implementation risks, and realize potential operational
and strategic benefits. Table 1 summarizes the discussion
in this literature review section. The first column in the
table presents the critical implementation factors
as they have been presented in the academic and professional
literature that was reviewed here; the second
column in the table presents the corresponding post-implementation
review dimensions that an ERP adopting
organization should be expected to evaluate in order to
ensure a successful implementation of an ERP system.
The dimensions in the table should be useful in guiding
the analysis of the qualitative data that were collected
in the present study and are reported in a following section
of this paper.
Table 1 - Critical Factors of ERP Implementation and Corresponding
Dimensions of Post-Implementation Success Factor
•
Top management support and commitment to project; fit to
business strategy
Dimensions of Success
• Evaluation of fit with strategic vision
• Review of project planning effectiveness
•
Evaluation of infrastructure development Factor
•
Alignment of people, process, technology
Dimensions of Success
•
Review of fit resolution strategies
•
Evaluation of system integration attainment and reporting
flexibility Factor
•
Anticipated Benefits from ERP implementation project
Dimension of Success
•
Evaluation of level of attainment of expected system benefits
Factor
• Motivation behind ERP implementation (business-
VS system led)
Dimensions of Success
•
Review of driving principles for project
•
Review of project justification practices Factor
•
Scope of user training
Dimensions of Success
• Review of user learning
•
Evaluation of effective knowledge transfer (among project
team members and other users)
3.0
RESEARCH METHOD
This
study has the objective to explore the process of post-implementation
in ERP systems and identify the factors
that lead to successful implementations. Such “why”
questions can be answered using the case study method
(Yin 1994). A qualitative approach was used to analyze a
series of events exhibiting some theoretical principles.
The purpose was to explore in detail the dynamics present
in relevant organizations and conceptually
interpret the significance of various factors that influence
post-implementation success. In this regard,
Eisenhardt’s (1989) conceptualization of the case
study methodology was followed in the attempt to understand
the concepts involved in the field of post-implementation
success in ERP systems and define the substantive
domain of these concepts and their relationships. The literature
that was reviewed in prior sections offered
the opportunity to formulate a general research framework
and identify factors of potential interest. These
factors were further explored by carrying out semi-structured
interviews in two different organizations, which
had implemented ERP systems.
The
selection of the two organizations was based on the need
to collect detailed data about the ERP implementation
process in each organization. The organizations were varied
significantly in size, in type of industry,
and also in their degree of “success” in their
ERP system implementation effort. The one organization
was a large Fortune 500 manufacturing corporation operating
globally (hereafter referred to as ‘MANU’),
while the other was a medium-size utility operating in a
European country (hereafter referred to as ‘UTIL’)
preparing to enter the new unregulated environment of the
European Union. Personal interviews were carried
out with the Corporate Directors of Information Technology
in both companies. In both cases, an initial
interview was carried out, the observations obtained were
further considered, and a second interview with
the same individual followed for further explanations. The
semi-structured interviews were guided by an interview protocol,
which is shown in the following
Exhibit 1.
1. What
were the driving forces for the system change to an ERP
architecture?
2. Was
there a strategic plan in place to guide the deployment
of the new ERP system?
What
were the specific principles that guided system development
as part of the
strategic
plan?
3. Looking
back at the implementation process, what were those factors
that critically
determined
implementation success or failure?
4. On
a post-implementation basis, what actions were taken to
enhance system
functionality,
review the system’s service potential, or evaluate
user acceptance?
5. Could
specific success factors be identified that were discovered
during the postimplementation
phase
of the system life cycle? What tools were used for their
measurement,
if any?
Exhibit
1: Interview Protocol
Even
though the researcher did not collect archival data from
the two organizations, the individuals interviewed
often referred to internal documentation or sought the help
of in-house experts in responding to the researcher’s
inquiries. The researcher also met with those in-house experts,
who provided more detailed information
on several of the issues presented in the interview protocol.
All interviews were tape-recorded. Following
each interview, the researcher listened to the tapes and
transcribed the various comments made by each
interviewee. The following sections present the observations
from these interviews with regard to the driving
forces and principles for ERP implementation in the two
companies, as well as significant issues relating
to the implementation process.
4.0
CASE EVIDENCE
4.1
Case Background: MANU
MANU
had a long history of in-house development of legacy systems
that addressed different needs for its separate
business units. By the year 1995, there existed more than
200 legacy systems that were in serious need of upgrading.
In addition, the company was burdened with a significant
cost associated with the maintenance of these
systems. There were data inconsistencies in those systems
across business units and it was impossible for
the corporation to provide for data integration using those
same applications. These inconsistencies also made
much more difficult any system documentation and maintenance
tasks.
Customer
service presented significant problems to the company since
it was fragmented and costly. Existing legacy
systems were focused on specific departments and lacked
the ability to present a single “face” to the customer.
A customer with queries that related to different products
had to contact different people at different operating
divisions, often receiving conflicting information. As a
result, internal cooperation and effective management
of operations were hindered by inconsistencies in the developed
systems. In addition, external firm
growth through acquisitions of other businesses was almost
impossible to accomplish due to the great obstacles
involved in the integration of the company’s systems
and processes with those of the acquired companies.
The degree of operating complexity in MANU was therefore
at a very high level and any system development
effort had to address the complexity of issues that characterized
its operations.
Given
the above problems with the corporation’s existing
legacy systems, the decision was made to deploy an enterprise-wide
system that would span all processes and business units
of the company. The company had begun
implementation of the SAP system across its business units
in 1995. In addition, it required its divisions to provide
quantifiable business cases before initiating the system
implementation effort. Most quantifiable benefits
related to improvements in customer response time, improved
turnover by maintaining existing customers
or by gaining customers from the competition, and by attaining
efficiencies of scope through acquisitions
of other businesses in its vertical supply chain. The ERP
system was considered to be a significant facilitator
for the straightforward integration of new acquisitions
into the company’s information infrastructure.
MANU
had implemented modules relating to sales and distribution
processes, materials management processes,
production planning processes, and financial and management
control processes. The new system required
the setup of some 30,000 programs within SAP that accessed
data in 7,000 different database tables.
System
configuration was a very arduous task that involved multidisciplinary
teams of internal people and external
consultants. The company’s system analysts had configured
programs to automatically execute the appropriate
business rules when relevant data were entered into the
system. In addition, the system analysts had to develop
several custom reports in addition to the ones already provided
by the system in order to satisfy specific
user needs. By the end of the year 1999, the company had
implemented the SAP system in all of its business
units on a global basis.
4.2
Case Background: UTIL
UTIL
had a primary objective of improving operational efficiencies,
while ERP adoption was initiated in 1997 in order
to replace a number of legacy, functional systems. The SAP
R/3 system was selected at the time, based on a
detailed requirements analysis that apparently matched a
strategic plan that was put in place at the same time. The
company operated in a regulated environment in the energy
business (electric utility). Although its regulated
environment presented some advantages in terms of protecting
UTIL from competitive forces at that time,
it also required customized reporting that could not be
easily accomplished without significant customization
to the ERP system. From the start of the project, therefore,
there existed significant idiosyncrasies
that hindered process integration and limited the process
reengineering effort. The level of operating
complexity in UTIL might not have been as high as that in
MANU, although its specialized reporting needs
rendered system selection and development a difficult task.
UTIL’s
top management believed that the integrated nature of an
ERP system made necessary the transfer of data
control solely to users, without having the IT department
involved in the process. External system consultants
were hired to assist users in the implementation process;
however, the project teams lacked both the in-house
technical expertise to match business and system requirements
and also lacked the overall understanding
of business processes and how should those be evaluated
or re-engineered in order to successfully
implement the system. In addition, the system was greatly
customized in order to fix reporting inadequacies
and prepare specialized reports required by governmental
mandatory reporting requirements.
After
two years of unsuccessful efforts, the implementation was
turned over to the IT department with a deadline
to be operational in 14 months, including the completion
of all necessary customizations. In order to meet
the deadlines, numerous short-cuts were followed and work-arounds
were adopted. Configuration management
controls were by-passed and system testing became superficial.
The implementation effort was completed
and the system was eventually implemented with significant
delays and cost overruns. End users did not
fully accept the system and the training provided was just
designed to train users in specific system functionalities,
without learning the system’s capability as a whole.
Top management did not consider the ERP system
implementation as an on-going project but just as another
IS project.
Eventually,
SAP ceased support of the version implemented and it became
apparent that a system upgrade was necessary.
At this time, top management, users, process experts and
the IT department are all involved in the effort
which shares more characteristics of an initial implementation
rather than just a simple system upgrade. UTIL’s
top management realized that the system implementation effort
has to be viewed as an on-going process,
where the basic infrastructure that is built through process
redesign and integration can offer strategic advantages
in the future. System implementation is not viewed any longer
as just a single project but as an overall
long-term effort for the development of a new business model
that would ensure sustainability in the company’s
existing competitive advantage. UTIL is now operating in
a deregulated environment, primarily due
to European Union’s regulations, where new competitors
could enter the industry on a dynamic basis. UTIL
is required by law to allow competitors to utilize its established
network, by charging a fee, which is determined
by an independent negotiator. In addition, the company is
moving to acquire new businesses, as in mobile
telecommunications, which are characterized by intensive
competitive pressures. In conclusion, the post-implementation
phase of the company has clearly demonstrated the many inadequacies
in the initial implementation
effort and the need for a newly designed implementation
effort.
4.3 Analysis of Similarities and Differences in Post-Implementation
Practices at MANU and UTIL The
dimensions that were identified in table 1 could be useful
in classifying the observations made at each company. As
a result, the five dimensions that were identified to correspond
to the critical factors of ERP implementation were re-considered
and used to classify the various post-implementation practices
followed at each of the two companies. Table 2 presents
in summary format the observations from the two companies
along the five critical dimensions.
I. Review
of Overall Project Scope and Planning
•
Evaluated system fit with strategic vision for organizational
transformation
•
Project planning evaluated and changes instituted in subsequent
implementation teams.
•
Information infrastructure considered critical for survival,
competitive advantage
•
Emphasis on supply-chain transformation in selecting post-ERP
applications
•
Evaluated fit with strategic vision; support focus
•
No formal evaluation of project planning but instituted
changes after initial failure
•
Information infrastructure had support role for organization;
not a driver for competitive advantage
II.
Review of Driving Principles for Project Development
• Initial reactive response to problems due to implementation
process inadequacies introduced by system.
•
Formally reviewed process integration and formed process
review teams within process oriented competence centers.
The process review teams represented a cultural shift for
the organization. The system was thus effective in causing
such major organizational changes
• Evaluated global reach and support
•
Re-evaluation of initial system justification
•
No formal review of process integration; primarily reactive
review due to problems identified by key users (example
of major problems with customer billing module)
•
No review of business justification; system change after
failure and due to termination of support by vendor
III. Effectiveness of Misfit Resolution Strategies
•
Evaluated process simplicity and implemented 80/20 rule
(implement standard system if it satisfied at least 80%
of process needs; justify customization only if percentage
coverage of needs by standard system fell below the critical
benchmark of 80%)
• Process Review Boards were effective in making such
decisions
•
Evaluated process and reporting inadequacies and developed
“workarounds” to by-pass many major system deficiencies
IV.
Evaluation of
•
Evaluated benefits – primarily those related to customer
satisfaction using customer surveys.
•
No formal evaluation of benefits; lack of benefits was evident
due to user complaints.
V. Evaluation
of Learning
•
Reviewed user learning and instituted corrective mechanisms
•
Evaluated knowledge transfer among implementation teams
(multi-site implementations).
•
User training not evaluated; limited initial training and
lack of interest in system.
Table
2: Post-Implementation Practices at MANU and UTIL
5.0
DISCUSSION
Each
of the two companies is identified to have followed a very
divergent implementation path; it is evident, however,
that the range and types of post-implementation practices
that each followed depended on how well they
managed the various issues during the initial implementation
of the project. To the extent that critical factors
of implementation were initially dealt with in a satisfactory
manner, post-implementation could have followed
a planned approach rather than a reactive approach to problem
resolution, and take into account system
user and organizational needs. The post-implementation success
could therefore be affected by the extent
to which an organization follows a planned approach in dealing
with each of the five critical dimensions.
Furthermore, in both UTIL and MANU, the post-implementation
phase of their ERP systems necessarily
led to changes in organizational power relations. In UTIL,
the IT department gained more power over
user departments, especially after the initial failure.
In MANU, the cultural and organizational impact of the
enterprise system has been dramatic. It necessitated structural
changes in the information technology organization,
along with other post-implementation activities that ultimately
led to front and back office
integration.
In order to fully utilize the expertise that the company
has acquired through the repeated SAP implementations,
the company’s information technology organization
has moved away from being mainly a back
office group to one involved in a broader range of core
business activities. The company has changed its structure
and created a number of competence centers so that its customer
service, logistics, materials management,
supply chain planning, and information technology groups
can best work under a common umbrella
to effectively address post-ERP implementation challenges.
In the literature, competence centers are presented
as important not only for ERP software maintenance (for
example, updating process tables as the business
changes), but also as an invaluable resource for user education,
support, and to promote ongoing improvements
in business processes (Eriksen, Axline and Markus 1999).
All
of the above factors had greatly influenced the implementation
of the ERP systems at the two companies and
had shaped the users’ predisposition toward the system
after its initial implementation. As a result, these case
findings support the basic drivers of ERP implementation
success, as they have been extracted from the review
of past literature. As it was discussed earlier in this
paper, the most important culprits in a problematic ERP
implementation are lack of user training and failure to
completely understand how enterprise applications change
business processes (Wilder and Davis 1998). It is also emphasized
by system professionals that for an organization
to turn around after initial failure, it must engage in
post-implementation review that will assist in better
defining the scope of the project and improving user training
and acceptance of the system. This situation
was demonstrated very eloquently in the case of UTIL, which
had to redefine the project scope in turning
around from initial failure.
Organizations
may expect to gain strategic advantages from the implementation
of ERP systems. Such strategic
advantages could be associated with (a) increased data accuracy
that facilitates interactions with customers
and suppliers and (b) improvements in the availability and
quality of information due to improvements
in business processes (Mabert et al. 2001). As a result,
broad user training and acceptance of the system,
in its post-implementation phase, are critical components
in an organization’s ability to realize such strategic
benefits. In MANU, these factors were significant facilitators
of system success. Even though each of the
five dimensions implies the adoption of different practices,
it is the cumulative outcome of these practices that
determines the degree of success in an organization’s
post-implementation process. As a result, the effect of each
of the practices is complementary to one another and adoption
of a specific practice does not render redundant
any of the other practices. It remains an important empirical
question, therefore, to further examine post-implementation
success and investigate the relative importance and contribution
of individual practices to successful
ERP implementations.
Conceptually,
ERP post implementation success could be defined by determining
the extent to which an organization
carries out a planned set of review/evaluation activities
on a post-implementation basis which relate
to the following five dimensions: (a) review of overall
project scope and planning; (b) review of driving principles
for project development; (c) evaluation of misfit resolution
strategies; (d) evaluation of attained benefits;
and (e) evaluation of user and organizational learning.
Each of these five post-implementation review dimensions
could be further examined in future studies, where operational
measurement items can be developed
and data on such specific items can be collected from firms
that had adopted and deployed ERP systems
in their organizational environments. These empirical measurements
can then be tested in future research
to determine the validity of construct measurement in terms
of construct representativeness, internal reliability
of measurement, and discriminating ability in empirically
distinguishing post-implementation success
from its antecedent conditions and potential outcomes.
In conclusion,
this study has attempted to explore the issue of post-implementation
success in ERP systems, conceptualize
and empirically validate critical dimensions that contribute
to post-implementation success, and offer
implications that could be useful for both the practice
and research on ERP implementation effectiveness. The
lack of prior empirical findings in this area lends additional
importance to such a research effort that explores
potentially significant constructs and defines conceptual
boundaries that could contribute to future empirical
investigations.
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