Information Systems (IS) Failure Case study and Synthesis

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 Information Systems (IS) Failure Case study and Synthesis

               

Executive Summary –

This paper discusses the concept of Information Systems (IS) failure as a whole. Also discussed are the various types of IS failures and the factors that differentiate an IS success or failure. The paper also deals with the Critical Success Factors (CSF) and Critical Failure Factors (CFF) associated with IS failures and an attempt is also made to correlate CSF and CFF. A detailed study of three cases related to IS failures are also undertaken and an attempt is made to synthesis and analyse the failure reasons based on the three cases. The lessons learnt from the cases are also looked into in detail. The paper concludes with a brief advise to managers/IT managers on the how to reduce the probability of an information systems failure.

  1. Introduction –

An information system is a combination of computer hardware, communication technology and software designed to handle information related to one or more business processes. Organisations today need to handle a vast amount of information and rely on information systems for day to day activities. The dependence on Information Systems is so vital that it can make or break an organisation.

An effective information system serves to actively coordinate the work of many different organisational functions, from the basic administration support, to a company’s strategic management tool. It encapsulates and integrates a number of areas of business with an aim to increase efficiency and effectiveness of business practices. Hence importance must be given to designing, developing and maintaining the correct type of information system for a particular organisation which very much aligns with its business strategy.

Over the years Information Systems have evolved to an extent that it influences and manages an organisation’s business processes all across its departments or sub-units. Hence for such an investment to take place, there need to be a redevelopment and overall a partial or most likely a complete redefinition in the business practice. Any change in information system implementation thereby needs to bring about change all across the business structure to harness the benefits of such an investment.

Information systems are now far more sophisticated and that any failure in its development or implementation can further complicate the infrastructure and business as a whole as there are so many ways that they may occur. Each year companies lose millions of dollars on information system projects that fail and more are lost due to malfunctions of systems that have progressed beyond the implementation stage. Since information systems are complex and have many aspects attributed to each, failure (and success) can be manifested in many ways. A detailed view in this regard is given in subsequent topics in this paper.

  1. Concept of Information Systems Failure –

Information Systems (IS) today are far more complex and revolves around so many factors that the nature of information systems failure is multi-faceted.

Over the last couple of decades a number of studies have been done in the field of IS failure, of which two approaches have come into prominence. One is Lyytinen and Hirschheim’s (1987) concept of Expectation Failure and the other is Sauer’s (1993) concept of Termination Failure.

According to Lyytinen and Hirschheim (1987), there are four main theoretical categories of IS failure:

  1. Correspondence failure – Happens when there is a difference in the performance of the IS against the objective.
  2. Process failure – Happens when development process cannot produce a system that works or produces a system that is over the planned budget in terms of factors like time, cost etc.
  3. Interaction failure – Happens when IS is hardly ever used or the users have issue using the system.
  4. Expectation failure - Lyytinen and Hirschheim (1987) defines this type of IS failure as containing all the above three types of IS failure. They also add that expectation failure is a very broad and detailed approach to IS failure and defines failure as the inability to satisfy the stake holder’s interest.

To broaden this analysis Lyytinen(1988) distinguished between development failure and use failure. Where the former is concerned about failure to mould the IS to the stakeholders interest and the latter talks about the failure to align the IS development to address stake holder's concerns.

But this model is heavily debated by Sauer (1993), who argues that an IS should be labelled failure only if all interest in progressing the IS project have ceased. He also states that all IS have flaws but the important aspect is the availability of support to correct the flaws. Otherwise the flaws can add up to generate a much bigger problem so as to abandon the project. The flaw concept clearly helps Sauer (1993) to distinguish termination failure from expectation failure.

The above concepts are a theoretical way of differentiating IS failure and success. Some of the empirical investigations methods of IS failure are explained briefly below.

  1. Anecdotal evidence - Harel (1980) calls this as folk theorem and relies heavily on the validity of the anecdotal evidences.
  2. Case studies - In Benbasat et al. (1987) views that this type of approach is more valid in problems where research and theory are still at an early stage. Since IS failures are multi faceted the case study approach is gaining importance as it gives a much clearer view of all details.
  3. Survey research - Two notable studies under this concept was that of Lucas (1975) and Lyytinen (1988). Though Lucas (1975) based his study on a number of general hypotheses on IS failure, the data was not sufficient to explain all aspects of IS failures. While Lyytinen (1988) looked at IS failure from the perception of a systems analyst.

A clear distinction between IS project abandonment and IS failure was done by Ewusi-Mensah and Przasnyski (1994). They argued that IS failure is purely based on the failure to use the IS, while IS project abandonment is more to do with IS development process. This is very much in line with the development and use failure concept of Lyytinen (1988).

Through their study they concluded that the main factors that decided the success or failure of an IS was the organisational factors, particularly the involvement of senior management and extend to which end users are involved in the IS project development. Even though there has been considerable study in the field of factors contributing to IS success and failure now, much research has been done on finding a relationship among those factors. Fowler, Jeremy J. & Horan, Pat. (2007) identified six risk factors that are associated with IS failure, which can be defined as the Critical Failure Factors (CFF) and can be summarised as given below:

  1. Lack of effective project management skills/involvement (e.g., Beynon-Davies, 1999; Doherty & King, 2001; Jiang, Klein, & Discenza, 2002; McGrath 2002; Wallace, Keil, & Rai, 2004),
  2. Lack of adequate user involvement (e.g., Al-Mashari & Al- Mudimigh, 2003; Chung & Peterson, 2000,2001; Wallace et al., 2004),
  3. Lack of top-management commitment to the project (e.g., Irani, Sharif, & Love, 2001; Koenig, 2003; Standish Group, 1999),
  4. Lack of required knowledge/ skills in the project personnel (e.g., Jiang et al. 2002; Oz & Sozik, 2000; ),
  5. Poor/inadequate user training (e.g., Das, 1999; Taylor, 2000), and
  6. Lack of cooperation from users (e.g., Baskerville, Pawlowski, & McLean, 2000; Roberts, Leigh, & Purvis, 2000).

It is important now to look in detail at the Critical Success Factors (CSF) that contributes to the effective development of Information Systems.

Rockart and DeLong in (1988) listed eight areas which formed critical to the IS success. Each of which are briefly explained below:

  1. Committed and informed executive sponsor
  2. Operating sponsor
  3. Appropriate IS staff
  4. Appropriate technology
  5. Management of data
  6. Clear link to business objectives
  7. Management of organizational resistance
  8. Management of system evolution and spread
  9. Evolutionary development methodology(or prototyping)
  10. Carefully defined information and system requirements
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Based on the six risk factors (CFF) that is associated with IS failure Fowler, Jeremy J. & Horan, Pat. (2007) studied a large Internet-based financial transaction service that was implemented in May of 2003 by a leading regional Australian based organization. They then tried to interview the participants in the project to list the factors that influenced the success of the project. Of the ten CSF (Rockart and DeLong (1988)) five were mentioned multiple times. Hence, Fowler, Jeremy J. & Horan, Pat. (2007) took these five success factors and analysed in greater detail which are as given below:

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