Intangible Benefits In Capital Budgeting
One of the principal challenges posed by information systems is ensuring they can evangelize genuine business organization benefits. In that location is a very loftier failure rate among information systems projects considering organizations have incorrectly assessed their business value or because firms have failed to manage the organizational change procedure surrounding the introduction of new engineering.
Chu Hong Keong and his squad at HSBC Malaysia realized this and took special pains to ready the banking company and its customers for the changes brought most past its new systems and business processes for V-Cyberbanking.
At many points during your career, you volition be involved in projects to build new data systems. You volition demand to know how to measure the business organization benefits of these investments and how to make sure that these systems work successfully in your arrangement. In this chapter you�ll larn about alternative ways of measuring the business value provided by data systems. You�ll also learn well-nigh the part of change direction in successful system implementation and strategies for reducing the risks in systems projects.
UNDERSTANDING THE BUSINESS VALUE OF INFORMATION SYSTEMS
Earlier considering the business concern value of systems it is important to understand that firms make 2 kinds of data systems investments. Firms invest in information systems projects that have very specific objectives and that will be implemented in 12 to 24 months. Firms also invest in it (It) infrastructure, and such investments often have place over longer periods of time. Infrastructure investments may include upgrading desktop client machines to the latest version of the Windows operating organization, doubling the number of corporate servers, converting all telephones to Voice over IP (VoIP), or upgrading the house�s international bandwidth to speed up communication with offshore subsidiaries. Firms besides make infrastructure investments by outsourcing.
Understanding the business value of information systems project investments is relatively straightforward and most organisation projects tin be justified using traditional accounting methods. IT infrastructure investments are more difficult, but not impossible, to rationalize using newer techniques of valuation discussed after in this department.
All information engineering investments�whether systems projects or infrastructure� produce value for firms primarily in two ways. The most obvious contribution to value is through improvement in existing business processes or the creation of entirely new business processes, the net result of which is to increase firm efficiency. 2d, information systems contribute to improvements in management decision making past increasing the speed of decision making and by enhancing the accurateness of decision making. Both improvements in business processes and in management decision making tin be measured using traditional capital budgeting methods described in this section.
Data systems can also create value past strengthening the business firm strategically. The value to the business firm may not be an immediate superior return on investment, but instead a longer-term render on investment that results from a better strategic position in the manufacture. Systems may help a business firm achieve differentiable and sustainable advantages by, for instance, strengthening ties to customers and suppliers, differentiating products and services, and increasing flexibility and adaptability over longer periods.
First movers pay high costs for existence the beginning to invest in a new technology, and they ofttimes fail, whereas fast followers can frequently imitate an innovation. Merely in the case of complex technology investments typical of firms such as Dell and Wal-Mart, information technology is unclear that imitators tin follow, or follow quickly. For instance, Dell�s efficient manufacturing capabilities and direct Internet marketing functioning have helped it achieve record profits and growth in an manufacture where its competitors are struggling to break even. Wal-Mart appears to have achieved a long-lived logistics advantage through its investment in supply chain systems and related business processes. No other firms have yet copied Dell or Wal-Mart�s business models.
A consistently stiff information applied science infrastructure can, over the long term, play an important strategic function in the life of the business firm. In the long term of 5 to 10 years, Information technology infrastructure investments have choice value past making it possible for the business firm to implement new technologies (and launch new products) in the future. Nosotros discuss the real choice value of information systems later on in this section.
It is of import also to realize that systems tin have value just that the firm may not capture all or even some of the value. Although system projects can event in firm benefits, such every bit profitability and productivity, some or all of the benefits can go directly to the consumer in the form of lower prices or more reliable services and products (Hitt and Brynjolfsson, 1996). Order can acknowledge firms that enhance consumer surplus by allowing them to survive or past rewarding them with increases in business revenues. But from a direction point of view, the claiming is to retain as much of the do good of systems investments for the house itself.
The value of systems from a financial perspective essentially revolves around the issue of return on invested capital. Does a particular information system (IS) investment produce sufficient returns to justify its costs?
Traditional Capital Budgeting Models
Upper-case letter budgeting models are ane of several techniques used to measure the value of investing in long-term capital investment projects. The procedure of analyzing and selecting diverse proposals for capital expenditures is called capital letter budgeting. Firms invest in capital projects to expand product to encounter predictable need or to modernize product equipment to reduce costs. Firms also invest in upper-case letter projects for many noneconomic reasons, such as installing pollution control equipment, converting to a human resources database to meet some regime regulations, or satisfying nonmarket public demands. Information systems are considered long-term capital investment projects.
Six capital budgeting models are used to evaluate capital projects:
The payback method
The accounting rate of render on investment (ROI)
The net present value
The cost-benefit ratio
The profitability alphabetize
The internal rate of render (IRR)
Uppercase budgeting methods rely on measures of greenbacks flows into and out of the firm. Capital projects generate greenbacks flows into and out of the house. The investment cost is an immediate cash outflow caused by the purchase of the capital equipment. In subsequent years, the investment may crusade additional cash outflows that will be balanced by cash inflows resulting from the investment. Greenbacks inflows take the form of increased sales of more than products (for reasons such as new products, higher quality, or increasing market place share) or reduced costs in production and operations. The divergence between cash outflows and cash inflows is used for calculating the financial worth of an investment. One time the cash flows have been established, several alternative methods are available for comparing unlike projects and deciding near the investment.
Financial models assume that all relevant alternatives accept been examined, that all costs and benefits are known, and that these costs and benefits can be expressed in a common metric, specifically, money. When one has to choose amongst many complex alternatives, these assumptions are rarely met in the existent globe, although they may be approximated. Table 15-1 lists some of the more mutual costs and benefits of systems. Tangible benefits can be quantified and assigned a monetary value. Intangible benefits, such as more efficient customer service or enhanced employee goodwill, cannot be immediately quantified but may pb to quantifiable gains in the long run.
TABLE 15-1 Costs and Benefits of Information Systems
Affiliate 6 introduces the concept of total price of ownership (TCO), which is designed to identify and measure the components of information technology expenditures beyond the initial cost of purchasing and installing hardware and software. However, TCO analysis provides only part of the information needed to evaluate an information engineering investment because it does not typically deal with benefits, price categories such as complexity costs, and �soft� and strategic factors discussed subsequently in this department.
LIMITATIONS OF Financial MODELS
Many well-known problems emerge when fiscal assay is applied to information systems. Financial models practice non express the risks and uncertainty of their own costs and benefits estimates. Costs and benefits do not occur in the same time frame�costs tend to be up-front end and tangible, whereas benefits tend to be dorsum loaded and intangible. Inflation may touch costs and benefits differently. Engineering science�especially information technology�tin can change during the class of the projection, causing estimates to vary greatly. Intangible benefits are hard to quantify. These factors wreak havoc with fiscal models.
The difficulties of measuring intangible benefits give financial models an application bias: Transaction and clerical systems that readapt labor and save space always produce more measurable, tangible benefits than management information systems, decision-support systems, and computer-supported collaborative work systems (run into Capacity 12 and thirteen). Traditional approaches to valuing information systems investments tend to assess the profitability of individual systems projects for specific business functions. Theses approaches do not adequately accost investments in It infrastructure, testing new business models, or other enterprise-wide capabilities that could do good the organization every bit a whole (Ross and Beath, 2002).
The traditional focus on the financial and technical aspects of an information system tends to overlook the social and organizational dimensions of information systems that may impact the true costs and benefits of the investment. Many companies� information systems investment decisions do non adequately consider costs from organizational disruptions created by a new system, such as the toll to train end users, the impact that users� learning curves for a new system take on productivity, or the time managers need to spend overseeing new arrangement-related changes. Benefits, such as more timely decisions from a new system or enhanced employee learning and expertise, may besides be overlooked in a traditional financial analysis (Ryan, Harrison, and Schkade, 2002).
There is some reason to believe that investment in information technology requires special consideration in financial modeling. Uppercase budgeting historically concerned itself with manufacturing equipment and other long-term investments, such equally electrical generating facilities and telephone networks. These investments had expected lives of more than i twelvemonth and up to 25 years. Nonetheless, information systems differ from manufacturing systems in that their life expectancy is shorter. The very high charge per unit of technological change in computer-based data systems means that well-nigh systems are seriously out of date in 5 to 8 years. The high charge per unit of technological obsolescence in budgeting for systems means that the payback menstruation must be shorter and the rates of render college than typical upper-case letter projects with much longer useful lives. The bottom line with financial models is to employ them cautiously and to put the results into a broader context of business organisation analysis.
Case Example: Capital Budgeting for a New Supply Chain Management System
Permit�s look at how financial models would work in a existent-world business scenario. Heartland Stores is a general merchandise retail chain operating in eight midwestern states. It has five regional distribution centers, 377 stores, and almost 14,000 dissimilar products stocked in each shop. The company is considering investing in new software and hardware modules to upgrade its existing supply concatenation management organization to help it better manage the buy and motility of goods from its suppliers to its retail outlets. Also many items in Heartland�s stores are out of stock, even though many of these products are in the company�s distribution center warehouses.
Direction believes that the new arrangement would help Heartland Stores reduce the amount of items that it must stock in inventory, and thus its inventory costs, considering it would exist able to runway precisely the status of orders and the flow of items in and out of its distribution centers. The new system would reduce Heartland�southward labor costs because the company would not need so many people to manage inventory or to rails shipments of appurtenances from suppliers to distribution centers and from distribution centers to retail outlets. Telecommunications costs would exist reduced because client service representatives and shipping and receiving staff would not have to spend so much time on the telephone tracking shipments and orders. Heartland Stores expects the system to reduce transportation costs by providing information to help information technology consolidate shipments to retail stores and to create more than efficient shipping schedules. If the new system projection is approved, implementation would commence in January 2005 and the new organisation would become operational in early on January 2006.
The solution builds on the existing IT infrastructure at the Heartland Stores just requires the purchase of additional server computers, PCs, database software, and networking technology, forth with new supply chain planning and execution software. The solution likewise calls for new radio-frequency identification engineering science to rail items more easily as they move from suppliers to distribution centers to retail outlets.
Figure 15-1 shows the estimated costs and benefits of the organisation. The arrangement had an actual investment toll of $eleven,467,350 in the beginning year (year 0) and a total toll over half dozen years of $19,017,350. The estimated benefits total $32,500,000 afterwards six years. Was the investment worthwhile? If and so, in what sense? There are financial and nonfinancial answers to these questions. Let u.s. look at the financial models first. They are depicted in Figure fifteen-2.
FIGURE xv-1 Costs and benefits of the new supply chain management system
This spreadsheet analyzes the basic costs and benefits of implementing supply chain management system enhancements for a midsized midwestern U.South. retailer. The costs for hardware, telecommunications, software, services, and personnel are analyzed over a six-year period.
FIGURE fifteen-two Financial models
To decide the financial basis for a project, a series of financial models helps decide the return on invested capital. These calculations include the payback menses, the bookkeeping rate of return on investment (ROI), the toll-benefit ratio, the net present value, the profitability index, and the internal rate of return (IRR).
The payback method is quite simple: Information technology is a measure out of the time required to pay back the initial investment of a projection. The payback period is computed as follows:
In the instance of Heartland Stores, it volition take more 2 years to pay dorsum the initial investment. (Considering cash flows are uneven, almanac cash inflows are summed until they equal the original investment to arrive at this number.) The payback method is a popular method because of its simplicity and power as an initial screening method. Information technology is specially expert for loftier-take chances projects in which the useful life of a projection is difficult to make up one's mind. If a projection pays for itself in two years, then it matters less how long later two years the system lasts.
The weakness of this measure is its virtue: The method ignores the time value of money, the amount of cash menses after the payback period, the disposal value (commonly cipher with computer systems), and the profitability of the investment.
Bookkeeping Charge per unit OF Return ON INVESTMENT (ROI)
Firms brand capital investments to earn a satisfactory rate of render. Determining a satisfactory rate of return depends on the price of borrowing money, but other factors can enter into the equation. Such factors include the celebrated rates of return expected by the house. In the long run, the desired charge per unit of return must equal or exceed the toll of capital in the marketplace. Otherwise, no one volition lend the firm coin.
The bookkeeping rate of return on investment (ROI) calculates the rate of return from an investment by adjusting the greenbacks inflows produced by the investment for depreciation. It gives an approximation of the accounting income earned past the projection.
To find the ROI, outset calculate the average net benefit. The formula for the average cyberspace benefit is as follows:
This net benefit is divided by the full initial investment to arrive at ROI. The formula is as follows:
In the case of Heartland Stores, the average rate of render on the investment is 2.93 percent.
The weakness of ROI is that it can ignore the time value of coin. Future savings are simply not worth equally much in today�s dollars equally are current savings. Even so, ROI can be modified (and usually is) so that future benefits and costs are calculated in today�southward dollars. (The nowadays value function on most spreadsheets can perform this conversion.)
NET PRESENT VALUE
Evaluating a capital project requires that the cost of an investment (a greenbacks outflow usually in year 0) exist compared with the net cash inflows that occur many years afterward. Only these two kinds of cash flows are not straight comparable because of the time value of coin. Money y'all have been promised to receive three, 4, and v years from now is not worth every bit much every bit money received today. Money received in the hereafter has to be discounted past some appropriate percentage rate�normally the prevailing interest rate, or sometimes the cost of capital. Nowadays value is the value in electric current dollars of a payment or stream of payments to be received in the time to come. It tin can be calculated by using the following formula:
Thus, to compare the investment (made in today�due south dollars) with time to come savings or earnings, yous need to disbelieve the earnings to their present value and so calculate the net present value of the investment. The net present value is the amount of money an investment is worth, taking into account its cost, earnings, and the fourth dimension value of money. The formula for net present value is this:
In the instance of Heartland Stores, the present value of the stream of benefits is $21,625,709, and the cost (in today�s dollars) is $11,467,350, giving a net present value of $ten,158,359. In other words, for a $21 million investment today, the house will receive more than $ten million. This is a fairly skilful rate of return on an investment.
Price-Do good RATIO
A simple method for computing the returns from a uppercase expenditure is to calculate the cost-benefit ratio, which is the ratio of benefits to costs. The formula is
In the case of Heartland Stores, the cost-benefit ratio is 1.71, pregnant that the benefits are 1.71 times greater than the costs. The price-benefit ratio can be used to rank several projects for comparison. Some firms establish a minimum cost-benefit ratio that must be attained by capital letter projects. The cost-do good ratio can, of course, be calculated using present values to business relationship for the time value of money.
PROFITABILITY Index
One limitation of net present value is that information technology provides no measure of profitability. Neither does it provide a way to rank order different possible investments. I unproblematic solution is provided by the profitability alphabetize. The profitability index is calculated past dividing the present value of the total cash inflow from an investment by the initial cost of the investment. The consequence can be used to compare the profitability of alternative investments.
In the example of Heartland Stores, the profitability alphabetize is 1.89. The project returns more its cost. Projects tin be rank ordered on this index, permitting firms to focus on merely the nearly profitable projects.
INTERNAL Charge per unit OF RETURN ( IRR)
Internal rate of return (IRR) is divers as the rate of render or profit that an investment is expected to earn, taking into account the time value of money. IRR is the discount (interest) charge per unit that will equate the nowadays value of the project�s future greenbacks flows to the initial toll of the project (defined here equally negative cash flow in yr 0 of $eleven,467,350). In other words, the value of R (discount charge per unit) is such that Present value � Initial cost = 0. In the example of Heartland Stores, the IRR is 33 per centum.
RESULTS OF THE CAPITAL BUDGETING ANALYSIS
Using methods that take into business relationship the time value of coin, the Heartland Stores projection is cash-flow positive over the time period under consideration and returns more benefits than it costs. Against this analysis, you lot might ask what other investments would be meliorate from an efficiency and effectiveness standpoint. Too, you must ask if all the benefits have been calculated. Information technology may exist that this investment is necessary for the survival of the business firm, or necessary to provide a level of service demanded past the firm�south clients. What are competitors doing? In other words, there may be other intangible and strategic business concern factors to consider.
Strategic Considerations
Other methods of selecting and evaluating information systems investments involve strategic considerations that are not addressed by traditional majuscule budgeting methods. When the house has several alternative investments from which to select, it tin apply portfolio assay and scoring models. Information technology can apply real options pricing models to Information technology investments that are highly uncertain or apply a knowledge value-added approach to measure out the benefits of changes to business processes. Several of these methods can be used in combination.
PORTFOLIO ANALYSIS
Rather than using uppercase budgeting, a 2nd way of selecting among culling projects is to utilise portfolio analysis. Portfolio analysis helps the firm develop an overall understanding of where it is making information technology investments by inventorying all information systems projects and avails, including infrastructure, outsourcing contracts, and licenses. This portfolio of information systems investments can be described every bit having a certain contour of hazard and do good to the firm (run across Figure 15-3) similar to a fiscal portfolio.
Effigy fifteen-3 A organization portfolio
Companies should examine their portfolio of projects in terms of potential benefits and likely risks. Certain kinds of projects should be avoided birthday and others developed rapidly. There is no ideal mix. Companies in unlike industries have dissimilar profiles.
In one case strategic analyses have adamant the overall direction of systems evolution, the portfolio assay tin be used to select alternatives. Plain, you tin begin by focusing on systems of high benefit and low risk. These hope early returns and low risks. Second, loftier-benefit, high-chance systems should exist examined; low-benefit, high-gamble systems should exist totally avoided; and low-benefit, low-take a chance systems should exist reexamined for the possibility of rebuilding and replacing them with more desirable systems having higher benefits. By using portfolio analysis, management tin determine the optimal mix of investment chance and reward for their firms, balancing riskier high-reward projects with safer lower-reward ones. Firms where portfolio analysis is aligned with business strategy have been found to accept a superior return on their IT assets, better alignment of information technology investments with business organisation objectives, and ameliorate organization-broad coordination of IT investments (Jeffrey and Leliveld, 2004).
SCORING MODELS
A quick and sometimes compelling method for arriving at a decision on alternative systems is a scoring model. Scoring models requite alternative systems a single score based on the extent to which they meet selected objectives. Using Table xv-2 the firm must determine among two alternative enterprise resource planning (ERP) systems. The first column lists the criteria that decision makers will use to evaluate the systems. These criteria are usually the issue of lengthy discussions among the determination-making grouping. Oft the most important outcome of a scoring model is not the score but understanding on the criteria used to gauge a organisation. Tabular array fifteen-two shows that this particular visitor attaches the most importance to capabilities for sales gild processing, inventory management, and warehousing. The second cavalcade in Table 15-2 lists the weights that determination makers attached to the decision criteria. Columns 3 and 5 bear witness the percentage of requirements for each function that each alternative ERP system can provide. Each vendor�s score tin exist calculated by multiplying the percent of requirements met for each part past the weight attached to that function. ERP Organization B has the highest total score.
Table 15-2 Example of a Scoring Model for an ERP System
As with all objective techniques, there are many qualitative judgments involved in using the scoring model. This model requires experts who sympathise the issues and the technology. It is appropriate to cycle through the scoring model several times, changing the criteria and weights, to see how sensitive the outcome is to reasonable changes in criteria. Scoring models are used most ordinarily to confirm, to rationalize, and to back up decisions, rather than as the final arbiters of arrangement pick. If Heartland Stores had other alternative systems projects from which to select, information technology could accept used the portfolio and scoring models every bit well equally fiscal models to institute the concern value of its systems solution.
Real OPTIONS PRICING MODELS
Some information systems projects are highly uncertain. Their futurity revenue streams are unclear and their upward-front costs are high. Suppose, for example, that a business firm is because a $twenty million investment to upgrade its information technology infrastructure. If this upgraded infrastructure were available, the organization would have the engineering capabilities to respond to time to come problems and opportunities. Although the costs of this investment tin exist calculated, not all of the benefits of making this investment can be established in advance. Simply if the firm waits a few years until the acquirement potential becomes more obvious, it might be too belatedly to brand the infrastructure investment. In such cases, managers might benefit from using real options pricing models to evaluate information technology investments.
Real options pricing models (ROPM) use the concept of options valuation borrowed from the fiscal industry. An option is substantially the correct, just non the obligation, to act at some hereafter date. A typical call selection, for example, is a fiscal selection in which a person buys the correct (but non the obligation) to purchase an underlying asset (unremarkably a stock) at a fixed price (strike price) on or before a given date.
For instance, on July 12, 2004, for $4.40 you could buy the right (a call pick) maturing in January 2006 to buy a share of Wal-Mart common stock for $55. If, past the end of January 2006, the toll of Wal-Mart stock did not ascent to a higher place $55, you lot would not practice the option, and the value of the pick would fall to zero on the strike date. If, however, the price of Wal-Mart mutual stock rose to, say, $100 per share, you could buy the stock for the strike price of $55 and retain the profit of $45 per share minus the cost of the pick. (Because the option is sold every bit a 100-share contract, the cost of the contract would be 100 X $four.forty earlier commissions, or $440, and you would be purchasing and obtaining a profit from 100 shares of Wal-Mart.) The stock choice enables the owner to benefit from the upside potential of an opportunity while limiting the downside risk.
ROPMs value information systems projects similar to stock options, where an initial expenditure on technology creates the right, but non the obligation to obtain the benefits associated with farther development and deployment of the technology as long as management has the liberty to cancel, defer, restart, or expand the project. Real options involving investments in capital projects are dissimilar from financial options in that they cannot be traded on a market and they differ in value based on the house in which they are fabricated. Thus, an investment in an enterprise organization will have very unlike real option values in different firms because the ability to derive value from even identical enterprise systems depends on firm factors, for example, prior expertise, skilled labor strength, market conditions, and other factors. Nevertheless, several scholars have argued that the real options theory can exist useful when considering highly uncertain IT investments, and potentially the same techniques for valuing fiscal options can exist used (Benaroch and Kauffman 2000; Taudes, Feurstein, and Mild, 2000).
ROPMs offer an arroyo to thinking almost data technology projects that takes into business relationship the value of management learning over time and the value of delaying investment. In real options theory, the value of the IT projection (existent option) is a function of the value of the underlying Information technology asset (present value of expected revenues from the It project), the volatility of the value in the underlying asset, the cost of converting the pick investment into the underlying nugget (the exercise toll), the gamble-free interest rate, and the option fourth dimension to maturity (length of time the project can be deferred).
The real options model addresses some of the limitations of the discounted cash period models described earlier, which substantially call for investing in an it project but when the discounted cash value of the entire investment is greater than zero. The ROPM enables managers to consider systematically the volatility in the value of IT projects over fourth dimension, the optimal timing of the investment, and the changing cost of implementation as technology prices or involvement rates rise or autumn over fourth dimension.
This model gives managers the flexibility to stage their Information technology investment or examination the waters with modest pilot projects or prototypes to gain more knowledge nigh the risks of a projection earlier investing in the entire implementation. Briefly, the ROPM places a value on direction learning and the use of an unfolding investment technique (investing in chunks) based on learning over time.
The disadvantages of this model are primarily in estimating all the cardinal variables affecting option value, including anticipated cash flows from the underlying asset and changes in the toll of implementation. Models for determining pick value of information technology platforms are being developed (Fichman, 2004; McGrath and MacMillan, 2000). The ROPM can be useful when at that place is no experience with a technology and its future is highly uncertain.
KNOWLEDGE VALUE-ADDED Approach
A different approach to traditional capital budgeting involves focusing on the knowledge input into a business process as a way of determining the costs and benefits of changes in business processes from new information systems. Any program that uses information technology to alter concern processes requires knowledge input. The value of the knowledge used to produce improved outputs of the new procedure tin exist used every bit a measure of the value added. Cognition inputs can be measured in terms of learning time to chief a new process, and a return on knowledge tin can be estimated. This method makes certain assumptions that may not be valid in all situations, specially product design and inquiry and evolution, where processes exercise not have predetermined outputs (Housel, El Sawy, Zhong, and Rodgers, 2001).
It Investments and Productivity
Information technology now accounts for about 35 to l per centum of total business organisation capital letter investment in the Usa. Whether this investment has translated into 18-carat productivity gains remains open to fence, although most of the show suggests that the reply is positive. Productivity is a mensurate of the firm�southward efficiency in converting inputs to outputs. It refers to the amount of capital and labor required to produce a unit of output. For more than than a decade, researchers have been trying to quantify the benefits from information applied science investments past analyzing data nerveless at the economy level, manufacture level, business firm level, and data systems awarding level. The results of these studies have been mixed and the term productivity paradox was coined to depict such findings.
It has increased productivity in manufacturing, especially the manufacture of information technology products, too equally in retail. Wal-Mart, which dominates U.S. retailing, has experienced increases in both productivity and profitability during the by decade through managerial innovations and powerful supply chain direction systems. Competitors, such equally Sears, Kmart, and Costco, are trying to emulate these practices. A 2002 study estimated that Wal-Mart�s improved productivity lone accounted for more one-half of the productivity acceleration in U.Due south. general merchandise retailing (Johnson, 2002).
However, the extent to which computers have enhanced the productivity of the service sector remains unclear. Some studies show that investment in information engineering has not led to any appreciable growth in productivity among office workers. The cyberbanking industry, which has been one of the well-nigh intensive users of information technology, did not experience whatsoever gains in productivity throughout the 1990s (Olazabal, 2002). Corporate downsizings and cost-reduction measures have increased worker efficiency but have not still led to sustained enhancements signifying genuine productivity gains (Roach, 2003). Cell phones, home fax machines, laptop computers, and information appliances enable highly paid knowledge workers to get more than work done by working longer hours and bringing their piece of work home, but these workers are non necessarily getting more work washed in a specified unit of time.
Researchers accept not made a systematic effort to measure the affect of these devices on unit output or quality of product or service. For instance, university professors who respond their students� electronic mail queries inside set up office hours are conspicuously communicating with their students more than in the by, and in that sense the service of college pedagogy has improved. Measuring the value of this improvement is a claiming.
The contribution of information technology to productivity in data and knowledge industries may be hard to measure considering of the problems of identifying suitable units of output for data work (Panko, 1991). How practice you measure the output of a law part? Should productivity be measured by examining the number of forms completed per employee (a mensurate of physical unit productivity) or past examining the amount of revenue produced per employee (a measure of financial unit productivity) in an information-and knowledge-intense industry?
Other studies have focused on the value of outputs (essentially revenues), profits, ROI, and stock marketplace capitalization as the ultimate measures of firm efficiency. A number of researchers have found that information technology investments accept resulted in increased productivity and better financial performance, including higher stock valuations (Banker, 2001; Brynjolfsson and Hitt, 1999, 1993; Brynjolfsson, Hitt, and Yang, 1999; Chatterjee, Pacini, and Sambamurthy, 2002; Davamanirajan, Mukhopadhyay, and Kriebel, 2002; Hitt, Wu, and Zhou, 2002).
Information technology investments are more than probable to meliorate firm operation if they were accompanied by complementary investments in new business organization processes, organizational structures, and organizational learning that could unleash the potential of the new applied science. In addition to this organizational and management majuscule, complementary resources, such every bit up-to-date Information technology infrastructures, take been found to brand eastward-commerce investments more than effective in improving house functioning (Zhu, 2004; Kraemer and Zhu, 2002). Firms that have built advisable infrastructures�and view their infrastructures as sets of services providing strategic agility�accept faster times to market, higher growth rates, and more than sales from new products (Weill and Broadbent, 1998; Weill, Subramani, and Broadbent, 2002).
In addition to reducing costs, computers may increment the quality of products and services for consumers or may create entirely new products and acquirement streams. These intangible benefits are hard to measure and consequently are not addressed past conventional productivity measures. Moreover, because of contest, the value created by computers may primarily period to customers rather than to the visitor making the investments (Brynjolfsson, 1996).
For example, the investment in automatic teller machines (ATMs) by banks has not resulted in college profitability for whatever single banking company, although the industry as a whole has prospered and consumers savour the benefits without paying college fees. Productivity gains may not necessarily increase firm profitability. Hence, the returns of information engineering science investments should be analyzed inside the competitive context of the firm, the manufacture, and the specific style in which information engineering is being applied.
Intangible Benefits In Capital Budgeting,
Source: https://paginas.fe.up.pt/~acbrito/laudon/ch15/chpt15-1fulltext.htm
Posted by: grigsbyseethe.blogspot.com
0 Response to "Intangible Benefits In Capital Budgeting"
Post a Comment