Sarsiti
Faculty of
Economics, Universitas Surakarta, Indonesia
Email:
[email protected]
KEYWORDS implementation; success; failure; AIS |
ABSTRACT Organizations in the digital era increasingly
understand the importance of implementing accounting information systems (AIS) because can help improve the efficiency
and effectiveness of business processes, as well as assist managerial
decision making. In reality, not all AIS implementations are successful,
because information systems are not just computerized systems that are run
manually but more than that involve business processes and resource
utilization. This article is a literature review aimed at understanding the
factors that determine the success and failure of implementing an accounting
information system. The discussion was carried out descriptively based on a
literature review and previous findings related to the determining factors
for the success and failure of implementing an accounting information system. |
INTRODUCTION
The digital era has changed the pattern of human thought and behavior and
within the scope of the organization or company has become an important factor
influencing strategic decision making. Organizations both public sector and
business enterprises in achieving success have given important attention to the
use of information technology.
Information technology used by
organizations has provided many benefits for all sectors such as government,
economy and industry and even education. One of the benefits for the government
sector is being able to increase the capability of the apparatus in serving the
public, as well as for the business sector to provide accurate and timely
information so as to assist managers' decision making (Alshibly, 2015).
Accounting information systems (AIS) in implementation in organizations refer
to data processing processes to produce quality accounting information in order
to help the organization's operations and parties outside the company (Susanto,
2013). Several benefits of accounting information increase organizational
competitiveness (Baltzan, 2012) and help managers make effective decisions
(Gellinas, 2012). Data, procedures, software
and IT infrastructure are important factors that determine whether the AIS
implemented by an organization is able to achieve success (Susanto, 2013).
AIS involves components
including collecting, classifying, processing, analyzing and combining
financial information as material for decision making (Baridwan, 2009). This goal is
achieved through the use of effective software to facilitate
the work of its users ( Baltzan,
2012).
In several previous studies, research has been carried
out regarding the factors that influence the implementation of accounting
information systems.
Research on the application of accounting information systems, yielded various
findings regarding both the determinant factors and some of the constraining
factors found. In system implementation, end-user
satisfaction is used as an indicator of information system success,
end-users are the final users of the implemented system. Success will be
determined by the level of system user satisfaction (Mohamed et al., 2009). The performance of an accounting
information system can be measured from the level of use of the accounting
information system (Sahusilawane, 2014).
The use of information technology
systems in organizations is inseparable from various inhibiting factors.
Common problems in using accounting information systems are due to system
incompatibilities with business processes and incompatibility of information
from implementing organizations (Lucas et al., 1998). Usnodo (2010) revealed
that in various surveys around 70% of SI projects were declared failures.
Standish Group stated that only 10% of companies successfully implemented ERP,
35% of projects were canceled and 55% experienced delays. Meta Group states 55%
– 75% of CRM projects fail. CRM Forum states that more than 50% of CRM projects
in the United States and more than 85% in Europe are considered failures. To
avoid failure, a change management strategy is needed, so that the company gets
the expected value from IS investments.
An accounting information system is
the integrity of both physical and non-physical
sub-systems that are interconnected and integrated to process transaction data
related to financial matters to produce accounting information (Susanto, 2008).
An information system is a system that connects daily transaction processing
needs to support managerial operational functions as a means of decision making
(Srimindarti & Puspitasari, 2012).
The Accounting Information System function functions to collect and store data about
activities and transactions, process data into information that can be used in
decision-making processes, and exercise proper control over organizational
assets (Susanto, 2008). The purpose of the Accounting Information
System is to encourage accounting activities
to produce quality accounting information such as timely, relevant, accurate,
complete ( La Midjan
& Susanto, 2001).
AIS consists of five components,
namely (1) The people who operate the system. (2) Both manual and automated
procedures involved in collecting, processing and storing data about
organizational activities. (3) Data about the organization's business processes.
(4) Software used to process organizational data. (5) Information
technology infrastructure, including computers, supporting equipment, and
equipment for network communications (Srimindarti & Puspitasari, 2012).
Based on the description above, it
can be concluded that the Accounting Information System is a tool that
functions to process information well, because a good information system will
provide benefits for management in making decisions, whether in terms of
planning or control activities. To produce a good information system, software
is needed that can support the work of system users. Properly designed software,
apart from making work easier, can provide reliable information.
According to Wibowo (2007)
performance can be viewed as a process or result of work. Performance implies a
description of the level of achievement of an activity in a certain period.
Performance in an organization is the answer to the success or failure of the
organizational goals that have been set. According to Mangkunegara (2016) that
the term performance comes from the word actual performance, namely the
work results in quality and quantity achieved by an employee in carrying out
his duties in accordance with the responsibilities given to him. Performance is
divided into two, namely individual performance and organizational performance.
Individual performance is the result of employee work both in terms of quality
and quantity based on predetermined work standards, while organizational
performance is a combination of individual performance and group performance.
SIA is a collection of resources
that will transform financial data into information that is processed manually
or with the help of a computer that is useful for decision making (Srimindarti
and Puspitasari, 2012). This definition describes the forms, records and
procedures as well as the types of tools used to process data related to the
operations of a business entity that aims to produce feedback in the form of
reports needed by management to control company operations.
Komara (2005) states that
information user satisfaction and use of information systems are dimensions
that can be used to measure AIS performance. Information user satisfaction
shows how far users are satisfied and trust the information system provided to
meet their needs, while information system use shows the frequency of use and
willingness to use the system.
The aim of this article is to understand the factors
related to success and failure in implementing accounting information systems
based on a literature review and previous research. The success and failure of
implementing accounting information systems is interesting to study as material
for management considerations for making strategic decisions, apart from that,
this literature review can contribute to researchers as material for developing
concepts related to AIS implementation.
RESEARCH
METHOD
The study used literature review methods. It can be used to evaluate the
success and failure factors of accounting information system implementation are
as follows:
1) Topic
identification: Identify research topics related to success and failure factors
of accounting information system implementation.
2) Literature
search: Conduct literature searches related to research topics through online
databases such as Google Scholar, ResearchGate, and others.
3) Literature
selection: Selecting literature that is relevant to the research topic and
meets the inclusion criteria.
4) Literature
evaluation: Evaluate the selected literature by considering quality, accuracy,
and relevance.
5) Literature
analysis: Conduct an analysis of the selected literature by considering the
success and failure factors of accounting information system implementation.
6) Data processing:
Processing data obtained from literature analysis using statistical techniques
or other methods.
7) Report writing:
Write a report based on the results of literature analysis and data processing
that has been done.
This literature review method able to gain a better understanding of the
success and failure factors of accounting information system implementation. By
using this method, researchers can obtain accurate and relevant information
from the selected literature.
RESULTS AND
DISCUSSION
Success
Factors in
Implementing an Accounting
Information System
In several literatures, various findings have
been obtained related to the determinants of the success of implementing an
Accounting Information System. This literature review understands the
importance of knowing the factors that organizations can consider to achieve
successful AIS implementation. Based on empirical research, it was found that
the success factors for implementing an Accounting Information System can be influenced by user
ability, user involvement, top management support, information system quality,
and information quality.
Individual performance in
carrying out a job task is generally determined by the abilities or
competencies they possess. Adequate abilities will make it easier for someone
to adapt to the tasks to be carried out. Competency according to Mui et al.
(2009) is an ability related to a person's quality including more than just
behavioral characteristics such as performance, knowledge, skills, level of
adequacy and several similar things such as goals, reasons, attitudes, or certain
qualities. Competency characteristics are grouped into five types, namely (1)
Motive is a person's desire that causes action, motive can encourage, direct
and choose behavior through certain actions or certain goals and away from
others; (2) Temperament or traits are physical characteristics and consistent
responses to information or situations; (3) Self-concept includes attitudes,
values or self -image of a person; (4) Knowledge, in this case, is
information possessed by a person in a specific field; (5) Skills are the
ability to perform physical or mental tasks.
In connection with
the use of accounting information systems, Almilia & Briliantien (2007)
stated that the higher the personal technical abilities of accounting
information systems, the performance of accounting information systems will
improve. According to Robbins (2005) the notion of user ability is an
individual capacity to perform various tasks in a job. User capabilities
according to Robbins (2005), namely:
1) Knowledge
Knowledge is defined as the basis of truth or facts
that must be known and applied in work. Knowledge as an information system user
can be seen from the knowledge an individual has regarding accounting
information systems and the individual's understanding of their work duties as
an information system user.
2) Ability
Ability is defined as an innate ability from birth
or the result of practice. Ability as an information system user can be seen
from the ability to run existing information systems, the ability to operate
information systems, the ability to carry out tasks from jobs that are
responsible, the ability to align abilities possessed with tasks.
3) Skills
Skills are defined as the ability to express work
easily and accurately and require basic abilities. Expertise as a user of an
information system can be seen from the expertise in the work for which they
are responsible and the expertise in expressing their needs at work.
In line with the opinion of
Robbins (2005), the definition of information system user ability in this
research is the individual's capacity to use information systems to carry out
various tasks in a job in accordance with the responsibilities entrusted to them.
The ability of information system users can be assessed from 3 dimensions,
namely knowledge, ability and skills possessed by individuals in using information systems in
accordance with job duties and responsibilities.
User Engagement
Many researchers have
investigated user engagement, that engagement affects key criteria such as
system quality, user satisfaction and system use (Komara, 2005). According to
Ronaldi (2012) SIA user participation is involvement in the system development
process by members of the organization or members of the target user group
(users from each department involved in system development).
Sahusilawane (2014) defines
the involvement of information system users as assignment behavior and
activities carried out or represented during the information system development
process. Participation or involvement by users in the form of real personal
intervention or user activity in system development. Information system users
are anyone who needs information for decision making.
According to Komara (2005)
user involvement is involvement in the system development process by members of
the organization or members of the target user group. According to Almilia and
Briliantien (2007), more frequent user involvement will improve AIS performance
because there is a positive relationship between user involvement in the
information system development process and AIS performance.
Information systems that are developed involving users will
provide satisfaction for users and these users will try to use the AIS
implemented in their company (Hendra et al., 2014). Participation or
involvement of information system users can be assessed from (1) Participation in system
development; (2) Opinions or suggestions in system development (3) Influence in
system development; (4) User involvement in the information system development
process; and (5) Exchange of information.
Top Management Support
According to Komara (2005)
top management support is defined as top management's understanding of computer
systems and the level of interest, support and knowledge about IS or
computerization. This means that the greater the support provided by top
management, the performance of the accounting information system will improve.
Almilia and Briliantien
(2007) argue that the greater the support given by top management will improve
the performance of the SIA because there is a positive relationship between top
management support in the process of developing and operating the SIA and the
performance of the SIA. Top management support in the process of developing
information systems and organizing information systems within the company will
increase users' desire to use existing information systems and feel satisfied
in using these systems (Hendra et al., 2014). Top management support can be
measured from five indicators, namely (1) superiors are proficient in using
computers; (2) superiors have high expectations for the use of IS; (3)
superiors are actively involved in planning IS operations; (4) giving appreciation to
employee ideas; (5) superiors pay high attention to IS performance; (6)
conducting regular
AIS performance evaluations; and (7) SI usage rating.
Quality of Information Systems
System quality is a
characteristic of the inherent information about the system itself, meaning
that the quality of an information system is related to the information it
produces. The quality of the information system can be measured by analyzing
the precision and accuracy of the resulting information, the more accurate and
precise the information generated will improve the quality of the information
system so that users are truly satisfied with the assistance of the information
system. The quality of the information
system is the quality of the accounting software used. The quality of
accounting software in an organization is related to the abilities and
skills of users. A good understanding of accounting software can help
users process data into quality information and
information users are satisfied with the results of the information presented.
This means that user understanding improves the quality of accounting software.
Good quality accounting software can increase user satisfaction. User
satisfaction with an information system is defined as how the user views the
information system in real terms, not on the technical quality of the system,
and how the impact generated by the information has on corporate decision
making (Tananjaya, 2012).
According
to DeLone & McLean in Radityo &
Zulaikha (2007) the quality of the information system means the quality
of the combination of hardware and software in the information
system, the focus is the performance of the system, which refers to how well
the capabilities of the hardware, software, policies, procedures of the
information system can provide information user needs. Information system
quality indicators can be measured by ease of use, system flexibility, response time,
reliability and security.
Information Quality
The quality of information
cannot be separated from perceived usefulness, namely the level to which
someone believes that using a particular system can improve performance. Perceived usefulness is related to the beliefs and behavior of system users. When accounting software
users feel confident in the software's capabilities and using the
software is not difficult, they will believe that implementing accounting software
will provide greater benefits and improve their performance. This has an
impact on the information produced being more accurate. If the information
produced from the accounting software used is more accurate, timely and
has good reliability, it will further increase the trust of software users.
If users do not have perceived usefulness, this will have an impact on
the use of accounting software. Users
will use the system less and less and doubt the information results from the
accounting software. Based on user perceptions, the higher the quality
of accounting software and the higher the
quality of information, the more perceived usefulness will be, so perceived
usefulness is important in determining the success of implementing
accounting software (Tananjaya, 2012). In relation to the use of
accounting software, perceived usefulness depends on the user's ability to use accounting software. High user capability can further strengthen the
perceived usefulness felt by users of accounting software. The
faster users understand how accounting software works, the faster the
performance of accounting software users will be in producing the
desired financial information.
According
to Radityo & Zulaikha (2007) information
quality refers to the
output of the information system, regarding the value, benefits, relevance,
and urgency of the information produced. Indicators of information quality can
be measured from the accuracy of the information (accuracy), timeliness
(timeliness), completeness of information (completeness) and
presentation of information (format). Based on the description above it
is concluded that the quality of information focuses on the information
generated by the information system. When linked to an Accounting Information
System, the quality of information from an accounting information system can be
assessed by the completeness of the information, accuracy of the information,
timeliness, availability of information, relevance, consistency and data entry.
Factors of Failure of Accounting Information System Implementation
Failure can be interpreted
as not being successful or not being achieved and in terms of implementation
failure is defined as a situation where certain functions in the information
system do not work, thus affecting the implementation function of the
information system. Failure to implement an accounting information system in
this article can be interpreted as a failure that is still possible to repair,
so that the main objective of implementing an accounting information system can
be achieved as expected.
According to the theory put
forward by Jogiyanto (2007), that failure to implement an information system is
divided into two aspects, namely technical aspects and non-technical aspects.
Technical aspects are aspects that concern the system itself which is the
quality of the technical information system. Poor technical quality concerns
the number of syntax errors, logical errors and even information errors, while
non-technical aspects relate to the perceptions of information system users
that cause users to be willing or reluctant to use the information system that
has been developed.
In the view of Frese &
Saunter (2003), the failure of Information System Implementation is caused by
several factors, namely a) ineffective internal communication relationships; b)
less effective external communication relationships; c). less quick decision
making; d). less effective team collaboration.
According to Kaur &
Aggrawal (2013) the factors causing the failure of Information System
implementation are (a) Project failure, that is, when the expected information
system standard has not been met, including the specified deadline is not met,
it is not in accordance with the budget and function, this is referred to as
project failure. (b) System failure, namely when the system does not perform as
expected and also cannot operate at a certain time or cannot be used so that
the project does not generate productive profits even though the system is used
in the right way. (c) User failure, namely when the user refuses or cannot
receive system information. The reason may be the lack of staff training and
skills, the complexity of the new system or the confrontation with the new
system so that users develop resistance to the system.
Wilson and Howcroft (2002),
concluded that several factors that cause failure to implement information
systems are categorized into three types, namely (1) project problems (projects
do not meet expectations, requirements, projects do not meet budget, projects
miss deadlines, projects are canceled before completion, and projects do not
meet function) (2) System problems (the system is partially unusable, the
system cannot operate optimally and the system fails to produce the expected
benefits) (3) user problems (rejection from users, users feel dissatisfied, low
user capabilities).
Yeo (2002) further states
that the failure factors for the implementation of information systems are (1)
when the system as a whole does not operate as expected and its overall
performance is not optimal; (2) if the system cannot perform as expected or
there is resistance by users and underutilization; (3) if the system
development costs exceed the entire useful life of the information system; or
(4) If information system development is abandoned before completion, either
due to system complexity or project management problems.
According to Susanto
(2014), the level of success and failure of information systems can be
categorized into three levels, namely (1) Total failure of the initiative,
never implemented or where a new system was implemented but immediately
abandoned. (2) Partial failure of the initiative, where the main objective was
not achieved or where there were significant adverse outcomes. Related to
partial failures are sustainability failures where the initiative is first
successful but then abandoned after a year or more. (3) Success of an
initiative in which most stakeholders achieve their primary objectives and do
not experience undesirable outcomes.
Several factors cause
information system failure according to O'Brien & Marakas (2009), due to
lack of executive management support and input from end-users, incomplete and
constantly changing requirements statements and specifications, and
technological incompetence. Littlejohns, et al. (2003), describes several
causes of Information System failure, namely (1) Failure to adapt to the social
and professional culture of the organization and to recognize user and staff
education. (2) There is an underestimation of the complexity of routine and
managerial processes. (3) Mismatch between the expectations of the commissioner,
creator and user of the system. (4) Refuse to stop spending money on a failing
system. (5) Not evaluating the previous system.
Salehi & Abdipour
(2013) in his research states that several factors hinder the implementation of
accounting information systems in companies listed on the Tehran Iran Stock
Exchange, namely the attitude of middle-level managers towards the
implementation of AIS, human resources, organizational structure, environmental
factors, financial problems, and organizational culture. From this study, to
overcome the obstacles to implementing AIS, namely by giving awards to managers
and staff and encouraging staff to use the new system so that these efforts
will help the successful implementation of AIS and can provide benefits for the
progress of the company.
Furthermore,
Susanto (2018) in his research states that the inhibiting factors in the
implementation of AIS are (1) Destruction due to Natural and Political
Disasters is a threat to the application of AIS (2) software and equipment
errors (3) Unintentional actions of personnel, for example errors in deleting
data due to ignorance. (4) This computer crime is an intentional act by
personnel.
CONCLUSION
Based on
the results of the literature review, it was concluded that the application of
AIS by public organizations and business companies provides benefits, namely a
role in providing information for managers to understand internal problems and
external environmental conditions so that they can assist managers in making
decisions.
Benchmarks
for the performance of an accounting information system can be assessed from
user satisfaction and the level of usage by users of the Accounting Information
System itself. User satisfaction emphasizes the emotional aspects of the user,
namely the user's feelings of pleasure or displeasure towards using the system,
while the level of usage emphasizes the frequency of use and the user's desire
to continue using the system.
Factors
that also determine the success of AIS implementation generally come from
organizational factors, system factors, and system users. The results of a
literature review related to the factors that determine the success of
implementing an AIS are user capability, user involvement, top management support,
information system quality, and information quality.
In reality, not all AIS implementations achieve
success, because information systems are not just computerized systems that are
run manually but more than that involve business processes and resource
utilization.
Factors
that hinder the implementation of AIS can be divided into two aspects, namely
technical aspects, namely the quality of technical information systems and
non-technical aspects related to the perception of system users so that they
will determine whether users are willing or reluctant to use the implemented
system.
REFERENCES
Almalia, L. S., dan Briliantien, I. (2007). FaktorFaktor yang Mempengaruhi
Kinerja Sistem Informasi Akuntansi pada Bank Umum Pemerintah di Wilayah
Surabaya dan Sidoarjo. Jurnal STIE Perbanas Surabaya, 1-9.
Alshibly, H. H. (2015). Investigating Decision Support System (DSS)
Success: A Partial Least Squares Structural Equation Modeling Approach. Journal of Business Studies
Quarterly. 6(4), 56-77.
Baltzan, Paige. (2012). Business Driven Information Systems, Third Edition, New
York: McGraw Hill.
Baridwan, Z. (2009). Intermadiate Accounting, Edisi
Kedelapan, Yogyakarta: BPFE.
Frese, R., & Saunter, V. (2003). Project
Success and Failure: What Is Failure, And How Can You Improve Your Odds For
Success? [online].
http://www.umsl.edu/~sauterv/analysis/6840_f03_papers/frese/
Gelinas, Ulrich and Dull, B. Richard. (2012). Accounting Information
Systems. Ninth Edition, South Western Cengage Learning, 5191, USA: Natorp Boulevard Mason.
Hendra, D. P, Setiawanta, Y., dan Septriana, I. (2014).
Analisis Pengaruh Keterlibatan Pemakai dalam Pengembangan Sistem Informasi,
Dukungan Manajemen Puncak, dan Formalisasi Pengembangan Sistem Informasi
terhadap Kinerja Sistem Informasi Akuntansi pada PT. Bank Jateng Cabang Ungaran. Jurnal Fakultas Ekonomi Universitas Dian Nuswantoro Semarang, 1-10.
Jogiyanto. (2007). Model Kesuksesan Sistem
Teknologi Informasi. Yogyakarta: Andi.
Kaur, B. P., & Aggrawal, H. (2013).
Critical Failure Factor In Information System : An Exploratory Revieu. Journal of Global Research in Computer
Science. 4(1). pp 76-82.
Komara, Acep. (2005). Analisis Faktor-Faktor
yang Mempengaruhi Kinerja Sistem Informasi Akuntansi”. SNA VIII Solo, 15–16 September 2005, 1-12.
La Midjan dan Susanto, A. (2001).
Sistem Informasi Akuntansi I. Edisi VIII, Cetakan Kesatu, Bandung:
Lingga Jaya.
Littlejohns, et al. (2003). Evoluting
Computeried Health Information System: hard lrssons still to be learnt. British Medical Journal, 326, 860-63.
Lucas, H. C., Jr., Walton, E. J., &
Ginzberg, M. J. (1988). Implementing
Packaged Software. MIS Quarterly, 12 (4). pp 537 -549.
Mangkunegara, A. P.
(2016). Manajemen Sumber Daya Manusia Perusahaan. Bandung: Remaja
Rosdakarya.
Mohamed, N.,
Hussin, H. and Hussein, R. (2009).
Measuring Users’ Satisfaction with Malaysia’s Electronic Government Systems. Electronic Journal of e-Government. 7(3),
283-294.
Mui, S. W.,
Hung, C. M., and Liang, T. C. (2009). An Impact of Teaching Practice: Perceptions of Teacher Competence among
Student-teachers. Journal of Primary Education, 6(1), 23-33.
O’Brien, J. A., & Marakas G. (2009). Management
Information sistem. Ninth edition. Boston: Mc Graw Hill, Inc.
Radityo, D. dan Zulaikha. (2007). Pengujian Model DeLone and McLean dalam
Pengembangan Sistem Informasi Manajemen (Kajian Sebuah Kasus). Simposium
Nasional Akuntansi X Unhas Makassar 26-28 Juli 2007, 1-25.
Robbins, S. P. (2005) Analisis
Kinerja. Penerjemah Henry Simamora.
Jakarta: Selemba Empat.
Ronaldi,
Hendra. (2012). Analisis Faktor-Faktor
yang Mempengaruhi Kinerja Sistem Informasi Akuntansi. Jurnal
Berkala Ilmiah Mahasiswa Akuntansi. 1(3), 1-13.
Sahusilawane,
W. (2014). Pengaruh Partisipasi Pemakai dan Dukungan
Atasan terhadap Kinerja Sistem Informasi Akuntansi pada Bank Umum Pemerintah. Jurnal Organisasi dan Manajemen, 10(1),
1-11.
Salehi, M.,
and Abdoreza Abdipour. (2015). Accounting information system’s barriers:
Case of an emerging economy. African Journal of Business Management,.
7(5), 298-305.
Srimindarti, C., dan
Puspitasari, E. (2012). Kinerja Sistem Informasi Akuntansi (SIA)
Ditinjau dari Kepuasan Pemakai dan Pemakaian SIA yang Dipengaruhi oleh
Partisipasi, Kemampuan, Pelatihan dan Pendidikan Pemakai SIA. Proceeding for Call Paper-Pekan Ilmiah Dosen
FEB-UKSW Salatiga 14 Desember 2012,
1-11.
Susanto, Azhar. (
2008). Sistem Informasi Akuntansi:
Struktur Pengendalian Risiko Pengembangan. Edisi Perdana, Cetakan Pertama,
Bandung: Lingga Jaya.
Susanto, Azhar. (2018). Threats On Accounting Information Systems. International Journal Of Scientific &
Technology Research, 7(10), 51-53.
Susanto.A. (2013). Sistem Informasi
Akuntansi. Bandung: Lingga Jaya.
Tananjaya, V. A.
(2012). Kualitas Sistem Informasi, Kualitas Informasi, dan Perceived Usefulness
Terhadap Keberhasilan Implementasi Software
Akuntansi. Jurnal Berkala Ilmiah Mahasiswa Akuntansi, 1(3), 65-69.
Usnodo, I. (2010). Lead Business with IT
(Seri korporasi Warta Ekonomi E-Company Award 2009). Jakarta: Dian Rakyat.
Wibowo (2007). Manajemen Kinerja. Jakarta: Raja
Grafindo Persada.
Wilson, M., & Howcroft, D. (2002).
Reconceptualising Failure: Social Shaping Meets IS Research. European Journal of Information Systems.
11, 236–250.
Yeo, K. T. (2002). Critical Failure Factors
in Information Systems Projects. International
Journal of Project Management, 241-246.
Copyright holders:
Sarsiti (2023)
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