Methodologies for Investment Evaluation

The evaluation of information technology (IT) investments has been a recognised problem area for the last four decades, but has recently been fuelled by rising IT budgets, intangible benefits and considerable risks and gained renewed interest of both management and academics. IT investments already constitute a large and increasing portion of the capital expenditures of many organizations, and are bound to absorb a large part of future funding of new business initiatives. However, for virtually all firms, it is difficult to evaluate the business contribution of an IT investment to current operations or corporate strategy. Consequently, there is a great call for methods and techniques that can be of help in evaluating IT investments, preferably at the proposal and decision-making stages. The contribution of this chapter to the problem area is twofold. First, the different concepts, which are used in evaluation are discussed and more narrowly defined. When speaking about IT investments, concepts are used that originate from different disciplines. In many cases there is not much agreement on the precise meaning of the different concepts used. However, a common language is a prerequisite for the successful communication between the different organizational stakeholders in evaluation. In addition to this, the chapter reviews the current methods for IT investment evaluation and puts them into a frame of reference. All too often new methods and guidelines for investment evaluation are introduced, without building on the extensive body of knowledge that is already incorporated in the available methods. Four basic approaches are discerned: the financial approach, the multi-criteria approach, the ratio approach and the portfolio approach. These approaches are subsequently compared on a number of characteristics on the basis of methods that serve as examples for the different approaches. The chapter concludes with a review of key limitations of evaluations, suggestions on how to improve evaluation practice and recommendations for future research. This chapter draws on earlier work as published in Renkema and Berghout (1997), Berghout (1997), and Renkema (1996; 2000).

Organizations are investing ever-increasing amounts in information technology (IT). However, the existing literature provides little evidence of a relationship between IT investment and organizational strategic and economic performance. The exploratory research reported here appears to be the first to relate comprehensive sets of IT investment measures to organizational strategic and economic performance measures. Although the individual IT investment variables were found to be only weakly related to organizational strategic and economic performance, they were significantly related to performance when grouped and analyzed by means of canonical correlation. More specifically, canonical results suggest that organizational strategic and economic performance measures such as sales by employee, return on sales, sales by total assets, return on investment, and market to book value are affected by IT investment measures such as IT budget as percentage of revenue, the percentage of IT budget spent on training of employees, number of PCs per employee, and IT value as a percentage of revenue. The organizational performance measure growth in revenue and IT investment measure percentage of IT budget spent on staff were not significantly related to other measures and therefore were not indicated to be useful for investigating possible effects of IT investment on organizational strategic and economic performance. Finally, a model based on these results is suggested. The model depicts a framework for management evaluation of the relationship between IT investment and organizational performance.

This study documents variation across industries in creditors’ perceptions of the risk of information technology (IT) investments. The associations we document between IT investments and both initial bond ratings and yield spreads suggest that credit-rating agencies and bond investors consider IT investments in automate and informate industries less risky than those in transform industries. We document that IT investments are associated with more volatile future cash flows in transform industries than in automate or informate industries. The findings indicate that bond investors prefer IT investments in automate industries, where the cash flow payoffs to IT investment are smaller but more stable than in transform industries. Overall, these findings provide the important insight that bondholders’ perceptions of IT investments vary across industries based on bondholders’ aversion to the riskiness and the lack of collateralizability of IT investments. Senior managers should recognize that IT investments have implications for both operational performance and financing costs (e.g., costs of debt) of the firm, and they should consider the potential financial benefits of increased IT capabilities, such as the willingness of corporate bond investors to accept lower financing costs.

In the last twenty years, firms have witnessed an explosive growth in information technology (IT) investment. This is true both for manufacturing industries and service industries. The existing literature on IT investment and organizational strategic performance, however, provides very little evidence linking IT investment to organizational strategic and economic performance. The present research investigates whether certain IT investment measures are useful in differentiating organizational economic performance among the most effective information technology users. Eight measures were used to represent IT investment. Ten ratios were utilised to measure organizational strategic and economic performance. The sample organizations were analysed using multidimensional cluster analysis. The results of the analysis suggest that a clear distinction exists between organizations in terms of IT investment and organizational strategic and economic performance. This is true even among the most effective users of information technology. The results also suggest that the majority of the organizations that are investing more in IT seem to be achieving superior strategic and economic performance.

When trying to calculate the business-value of an information technology (IT) investment in small businesses, it is hard to imagine how to apply frameworks such as TOGAF, Zachman or IT Value Network (Read, 2009), in order to get that value. The following article shows the arising problems when the IT Value Network framework is being applied to a small business in order to determine the IT business-value of a specific IT project: sarLAB.

This paper investigates the impact on productivity of combined changes in information technology (IT) investments and workforce composition of life insurance companies. Workforce composition is defined in terms of three broad classes: clerical, managerial and professional. Hypotheses on the combined impact of changes in IT investments and workforce composition on productivity are proposed and empirically tested on a sample of companies from the US life insurance industry. Companies are clustered based on two main strategy alternatives, focus on a market niche vs diversification. In niche companies, higher IT investments accompanied by a decrease in the clerical and managerial components of the workforce are found to have a positive contribution to productivity. On the contrary, higher IT investments in conjunction with a decrease of the professional component show a negative effect. In diversified companies, increasing IT investments show a positive contribution to productivity when accompanied by a decrease of the professional component and a growth in the clerical and managerial component of the workforce. Findings are discussed in the light of fundamental competitive goals in the industry.

The application of fundamental option pricing models (OPMs), such as the binomial and the Black-Scholes models, to problems in information technology (IT) investment decision making have been the subject of some debate in the last few years. Prior research, for example, has made the case that pricing “real options” in real world operational and strategic settings offers the potential for useful insights in the evaluation of irreversible investments under uncertainty. However, most authors in the IS literature have made their cases using illustrative, rather than actual real world examples, and have always concluded with caveats and questions for future research about the applicability of such methods in practice. This paper makes three important contributions in this context: (1) it provides a formal theoretical grounding for the validity of the Black-Scholes option pricing model in the context of the spectrum of capital budgeting methods that might be employed to assess IT investments; (2) it shows why the assumptions of both the Black-Scholes and the binomial option pricing models place constraints on the range of IT investment situations that one can evaluate that are similar to those implied by traditional capital budgeting methods such as discounted cash flow analysis; and (3) it presents the first application of the Black-Scholes model that uses a real world business situation involving IT as its test bed. Our application focuses on an analysis of the timing of the deployment of point-of-sale (POS) debit services by the Yankee 24 shared electronic banking network of New England. This application enables us to make the case for the generalizability of the approach we discuss to four IT investment settings.

Despite its universal appeal, little has been done in the way of empirical research to probe into the role of formal information technology (IT) investment evaluation practices and its influence on IT governance and performance in African firms. A preliminary survey of 74 firms from South Africa, Nigeria and Zimbabwe, reveal that while firms are generally aware of formal IT investment appraisal techniques and IT value realisation prescriptions, relatively less formality is actually applied to appraising, managing and realising IT benefits. This research unveils many issues in exploiting IT benefits, with a majority of firms acknowledging substantial targeted benefits losses. Addressing how IT investments can be managed more effectively using formal investment appraisal and benefits management practices, to predictably realise intended payoffs remains a top concern for African firms and the continent’s IT researchers. Key words: Information technology (IT), IT governance, IT investment appraisal, IT benefits management, IT performance.

The aim of this research is to propose a model that relates information technology (IT) investments, supply chain governance (SCG) and performance together. For this purpose, a pilot study involving both a qualitative and a quantitative stage was conducted. The qualitative analysis, consisting of an extensive literature review and two case studies conducted in six major, globally-relevant Brazilian companies, led to the development of an initial model. This model was refined during the quantitative stage that involved 38 executives from large national companies. IT was found to be one of the main drivers of SCG influencing companies' supply chain performance. The final model consists of 5 constructs and 26 elements. Regarding the SCG constructs: (a) a new element 'formal contracts', emerged in the 'contractual SCG' construct; (b) the element 'cooperation' was not confirmed in the 'relational SCG' construct; (c) the element 'transparency' was considered an important element in the 'transactional SCG' construct. Five new elements emerged in the 'IT investment' construct. Market aspects were highlighted as being relevant in the 'supply chain performance' construct. Thus, the model includes elements that can be analyzed in order to shed light on how IT investments influence SCG and supply chain performance.

Although significant research attention has been directed at understanding the value of information technology (IT) investments for firms, very little attention has been paid to understand the IT investment behavior of firms. This article seeks to fill this void. We introduce the concept of IT investment strategy, defined by dimensions of intensity and proactiveness, to characterize the IT investment behavior of firms. Synthesizing the environmental deterministic and strategic choice perspectives of a firm's strategic decision making, we examine the effects of environmental factors, managerial processes, and the interplay between them on IT investment strategy. Specifically, we examine the impact of environmental factors such as industry clockspeed and information intensity on IT investment strategy. We also incorporate the strategic choice perspective to argue that managerial processes such as frequent chief executive officer—chief information officer communications and collective information systems planning play a critical role in shaping the firm's IT investment strategy. The empirical results show that the environmental variables are related to IT investment strategy. Besides, managerial processes serve as a means to understand the environment and thus moderate the relationships between the environmental variables and the various facets of IT investment strategy. The conceptualization of IT investment strategy and the focus on both environmental determinism and strategic choice should enrich our understanding of firms’ IT investing behavior.

Investing in Lending Technology: IT Spending in Banking

What is the value of investments in information technology (IT)? Is there a return from investing in IT? These two questions are critical because firms invest huge amounts in information technology; an estimated SO percent of U.S. capital investment today is for IT. For top-ranked banks like Chase and Citibank, express carriers like FedEx and UPS, and large brokerage firms, annual IT budgets approach or exceed $1 billion. The chairman of NationsBank, Hugh McColl, stated at a CEO series seminar at New York University in April 1997 that his bank was spending $500 million a year on software and had a total IT budget of $1.9 billion. After its merger with Bank of America, the combined banks will initially have an annual IT budget of $4 billion! (Only a portion of these budgets represents investment in new IT initiatives; the rest is for ongoing operations.)

Returns on Investments in Information Technology: A Research Synthesis

The article addresses the impact of the COVID-19 pandemic on Small and Medium Enterprises (SMEs), focusing on the Information Technology (IT) investments made by these companies between 2020 and 2023. The health crisis generated significant economic effects, particularly in emerging economies, exacerbating pre-existing economic fragility and inequality. The study seeks to identify, through a systematic review of the literature, the investments, contributions, and uses of IT by SMEs located in Latin American, Asian, and European countries during the aforementioned period. It is concluded that, during COVID-19, IT investments in SMEs were not only a response to crises, but also a strategic source of resilience and financial stability. IT investment was highlighted as essential for innovation, digital transformation, and business continuity. Although low employee digital skills persist, the trend towards IT investment is positive, allowing SMEs to take advantage of technological and governmental opportunities to face the challenging economic context.

While businesses are investing enormous resources in information technology (IT), there is little evidence linking IT investment to organizational performance. The purpose of this article, therefore, is to increase understanding of the basis for IT investment in firms. Six mini case studies of companies in five different industries address questions of how they define IT for the purpose of determining the level of investment, how they track IT investments, and what other factors influence IT investment decisions. Each organization uses a different definition of IT, but there appears to be an overall trend to broaden the definition. Although companies track IT investment with varying degrees of rigor, they appear to be generally moving toward centralized tracking of all IT investment Political considerations are important and significantly impact investment decisions. In all cases, the effectiveness with which IT investment is converted to useful output is acknowledged to be affected by the implementation process, the culture of the organization, and the skill of management. Three major implications for practitioners responsible for IT investment are: the need to adopt a broad definition of IT and track it over time against a convenient base; the need to separate different types of investment and match them to appropriate organizational performance measures; and the need to take into account factors such as management commitment and previous experience with IT. The latter impacts the effectiveness with which the firm converts it investment into useful outputs.