Effects of Implementing Enterprise Resource Planning Systems Y. Helio Yang, Nikhil Varaiya, and Chee W. Chow, College of Business Administration, San Diego State University, San Diego, CA 92182-8234 ABSTRACT In the 1990's inftnmation technology and business process re-engineering have combined to provide organizations a competitive advantage. Enterprise Resource Planning (ERP) systems were particularly considered as critical change agents for such development. This paper reports the results of a survey on ERP implementations to explore the benefits and impacts to organizations. 1. Introduction In the past decade, business has changed dramatically. Organizations today confront new markets, new competition and increasing customer expectations. Thus today's organizations have to constantly re-engineer their business practices and procedures to be more and more responsive to customers and competition. In the 1990's information technology and business process re-engineering (BPR) have combined to provide organizations a competitive advantage. Enterprise Resource Planning (ERP) systems were particularly considered as critical change agents for enhancing competitive advantage. According to AMR Research (1999) the ERP market is projected to grow to $66.6 billion in 2003 from $16.7 billion in 1998. Although there are discussions on pros and cons of ERP implementation at individual firm level, little research provides overall assessments on its benefits and impacts. Consistent guidelines and measurements to determine ERP adoption and return on investment in an ERP system do not exist. Hence we conducted a survey to study the benefits resulting from these software installations and process changes. Based on an extensive review of extant writings on ERP, we identified 18 claimed benefits to measure ERP implementation. These benefits can be classified into three categories: intrafirm, interfirm, and overall benefits. The generation of ERP packages at the time of the survey is based upon a traditional hierarchical functional view of organizations. ERP systems typically exist within a single organization, using a single database at the point of integration with internal organizations. Consequently, ERP systems are usually considered valuable to intrafirm process support. Hence we examine the following research question: Is there a significant difference between intrafirm benefits and interfirm benefits from ERP implementation? ERP implementation typically requires reengineering to refit business processes into the best practices within an industry. For example, Baan's approach is to conduct a concurrent business process re-engineering during the ERP implementation and aim to shorten the total implementation time frame using its comprehensive scenario and compact scenario. Hence we examine the following question: Is there a significant difference in terms of benefits achieved through ERP implementation among various business process re-engineering efforts? 2. Research Method 2.1. Survey instruments A questionnaire was designed as the research instrument containing multiple choices and five-point Likert-sealed questions. Questions include type of ERP software, modules implemented, factors in selecting software vendors, time frame, cost and schedule of implementation, composition of implementation team, extent of process reengineered, payback period, benefits on eighteen measurements, and concerns during implementation. 2.2. Sample Surveys were mailed to 251 potential respondents in June 1999. The mailing list was compiled from: (a) many ERP vendors' client lists obtained from their web sites, (b) attendant lists from an ERP executive conference, (c) articles citing companies implementing ERP from sources such as Datamation, AMR Research, Information Weekly and CIO. A reminder letter was sent one month alter the first mailing. In addition to the printed version, the survey was also posted on a web site at the same time. The survey web site was publicized at SAP and Oracle user groups, various bulletin boards, GeoCities, Planet IT, and as well as at a major IT convention. Fifteen of the mailed surveys were returned due to incorrect address or addressee. Forty-two surveys were returned for a response rate of 18% for the mailed survey. In addition, twenty-nine responses were received from the web site. Sixteen of the returned stagey respondents were discarded because they did not implement ERP systems. This resulted in a usable sample of sixty-three observations. A majority of the respondents are information system managers or ERP 864 project managers and some are managers in finance or engineering departments from U.S. firms. Eighteen percent of the respondents have less than $50 million dollars in annual sales; fifteen percent have annual sales between $50 million and $1 billion dollars; majority (67%) of them have over $1 billion dollars in annual sales. One third of the respondents are from the service sector while two thirds of them are from the manufacturing sector. 2.3. Data Analysis Eighteen questions were used to measure the benefits of ERP implementation. The respondents were asked to rate the benefit level for each of the measurements using a five-point scale with endpoints "no benefit" (=1) and "dramatic benefit" (=5). We then classified these benefits into three categories: intrafirm, interfirm, and overall. By grouping the measurements, we will be able to see a comprehensive picture in terms of understanding the contributions of ERP implementation. Intrafirm benefits assess the benefits achieved through coordinating and integrating business processes and information within the enterprise. There were nine measurements in this category. Interfirm benefits assess the benefits achieved through coordination and integration beyond the enterprise boundary to connect with external customers and suppliers. There were six measurements in this category. Overall benefits assess the impacts on competitive advantage. There were 3 measurements under this category. Principal component is used to explore the underlying stl"ucture of the questionnaire items for each benefit category. Table I shows the varimax rotated factor loadings oftwo-faetor solutions for intrafirm and interfirm benefits and one- factor solution for overall benefits. Factors were extracted with eigenvalues greater than 1.0. The factor loadings either exceeded or are close to the .6 level. Inter-item analysis is used to check the scales for internal consistency or reliability. Cronbach's reliability coefficient alpha is calculated for each scale, as recommended by many researchers (Flynn, et at., 1990, Makhotra and Grove, 1998). Cronbach's alpha values for each scale ranged from .7691 to .8902. These values well exceed the .5 to .6 criterion generally considered adequate for exploratory work (Nmmally, 1978). Cronbach's alpha addresses vertical validity, which describes the extent to which a scale represents its construct. Analysis on the principal components identified two factors: quality&inventory and time-for the intrafirm benefits. Five items loaded significantly on the "quality&inventory" factor. Three of the items dealt with improvements in finished goods inventccy, work-in-process inventory, and raw materials/components inventory. Two of the items dealt with quality improvement in defect rate and customer retm'n rate. Four items loaded significantly on the "time" factor. The items include product design time, delivery time to the customers, response time to customer requests, and the development of a knowledge base to share information. Two factors-supplier and customer relationships-are identified for the interfirm benefits. These two factors reflect that supplier relationship management and customer relationship management are two key components to achieve these benefits. Companies need to communicate and coordinate information and activities with upstream suppliers and downstream customers. Three items loaded significantly on the "supply" factor. These items dealt with the quality level of suppliers, delivery time from suppliers, and real time integration with suppliers' information systems. Three items that loaded on the "customer" factor are real time integration with customers' information systems, global network and location management, and e-commerce development. The e-coramerce definition at the time the survey was conducted was mainly on business to customer (B2C) transactions over the lnternet. The three items loaded on the "overall" factor include competitive advantage, market share, and the potential of new business development. 3. Results For the choice of software, the majority of respondents use either Baan or SAP systems, with the two systems representing a cumulative percentage of 51.7% (26.7% Baan and 25% SAP). The next two highest percentages were 10°4 for Oracle and 7.5% for both JD Edwards and Lawson systems. Table 2 shows a detailed breakdown of software packages. The most widely implemented module among respondents was the fmance module (92.6% of respondents), followed closely by the manufacturing module (88.1%). Table 3 provides a breakdown of modules implemented by respondents. This supports findings in the existing literature. A KPMG study on major motor carriers and third-party logistics providers also found that most of their respondents use primarily the accounting and general ledger functions of the ERP software and Peoplesofl, Baa, SAP and Oracle represented one third of the packages (Bradley and Thomas, 1999). In selecting a software