دانلود مقاله ISI انگلیسی شماره 7619
عنوان فارسی مقاله

برنامه ریزی منابع سازمانی: تحولات و دستورالعمل ها برای پژوهش مدیریت عملیات

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
7619 2003 8 صفحه PDF سفارش دهید محاسبه نشده
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عنوان انگلیسی
Enterprise resource planning: Developments and directions for operations management research
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : European Journal of Operational Research, Volume 146, Issue 2, 16 April 2003, Pages 233–240

کلمات کلیدی
برنامه ریزی منابع سازمانی - مدیریت عملیات - چارچوب - هم ترازی
پیش نمایش مقاله
پیش نمایش مقاله برنامه ریزی منابع سازمانی: تحولات و دستورالعمل ها برای پژوهش مدیریت عملیات

چکیده انگلیسی

Enterprise resource planning (ERP) has come to mean many things over the last several decades. Divergent applications by practitioners and academics, as well as by researchers in alternative fields of study, has allowed for considerable proliferation of information on the topic and for a considerable amount of confusion regarding the meaning of the term. In reviewing ERP research two distinct research streams emerge. The first focuses on the fundamental corporate capabilities driving ERP as a strategic concept. A second stream focuses on the details associated with implementing information systems and their relative success and cost. This paper briefly discusses these research streams and suggests some ideas for related future research.

مقدمه انگلیسی

Speculation on the future development and success of enterprise resource planning (ERP) is the topic of many popular press articles. These articles, typically written by individuals associated with the ERP companies, are often focused on the merits of the featured software. Unfortunately, in order to distinguish the merits of alternate packages, these same authors find it useful to introduce new terms designed to emphasize potential appeal. In reality many of these “new” terms do not actually represent new concepts, but simply the repackaging of existing ideas. The end result of accepting and disseminating these new terms into general discussions on the topic only leads to increased confusion over time. A case in point is the variability with which the term “ERP” itself has been used over the last decade. The fundamental benefits of ERP systems do not in fact come from their inherent “planning” capabilities but rather from their abilities to process transactions efficiently and to provide organized record keeping structures for such transactions. Planning and decision support applications represent optional additions to the basic transaction processing, query and report capabilities included with a typical system. Such a realization often comes as a surprise to academics and practitioners alike, having anticipated greater decision support intelligence to be built into ERP packages. This is particularly salient when they discover that simple time series based techniques are used for forecasting or basic trial-and-error techniques are used for master scheduling. Even slightly more advanced techniques (i.e. auto-regression forecasting and linear programming approaches) are typically not part of standard package installations. Ambiguity about the term ERP has also lead to a relatively limited line of research in the area. Most ERP research to date has involved exploratory surveys, targeting common and ubiquitous issues like “cost”, “time” and “success”. They have also tended to focus on only the initial issues confronting ERP practitioners, such as vendor selection and package implementation (Davenport, 1998). Studies on usage and extendibility for operational and strategic benefit have been much less common, regardless of the fact that such issues most likely represent the motivating long-term rational behind adoption in the first place. Although the exploratory focus may be interpreted as problematic, perhaps one of the most crippling constraints on the growth of ERP research has been the mere fact that “getting the system to run” often dominates discussions with companies. Consider the operational challenges associated with supporting literally thousands of users, potentially located in many different sites, all accessing a single integrated database. The computer hardware and network technology is complex and the tasks required to keep these operating often becomes the focus of information system practitioners. This complexity may be one of the reasons why attempts to link benefits to ERP investments have proven so difficult. Because of this difficulty, business academics that associate ERP systems with “software”, rather than “concepts”, may be inclined to simply disregard the role of ERP systems in research and educational settings. Along these lines, some faculty see the teaching of ERP topics as more the role of corporate “trainers” than academic educators. Likewise, many researchers have viewed the ability to provide contributions in the area of ERP research as relegated to programmers and human–computer interaction specialists. Still others believe the ERP age has passed. Buzzwords like “B2B”, “B2C”, and “CRM” and just about anything else preceded by an “e-” seem to have taken center stage. Yet ironically, each of these new terms at their most basic levels represent extensions of ERP systems to the customer, as far as physical distribution capabilities are concerned, and to the supplier with regards to purchasing applications. So are researchers in danger of missing the big picture on these new ideas? Possibly. Is it too late to make up for lost time? A realistic understanding of the role that ERP systems now play in major international corporations, and their continued diffusion among small and medium firms over the last few years, suggests that the answer is clearly “No”. However, in attempting to study the appropriateness of such extensions researchers must come to terms with the capabilities of the larger systems that support them. Otherwise we risk encountering inconsistencies of the type that lead to perpetuation of the infamous “productivity paradox” (Brynjolfsson and Hitt, 1996; Brynjolfson, 1993). This “paradox” was originally cited to describe the difficulty of linking investments in IT to productivity levels. By focusing on traditional interpretations and metrics of productivity, which by their nature provide only limited views on firm success, many early searches for such linkages were not only theoretically unfounded but also not surprisingly fruitless. A later focus on alternative views on productivity growth and more logically structured measures of IT usage ultimately provided much more in-depth understandings of the strategic concepts supported by the IT and the mechanisms through which benefits could be observed (Brynjoslfsson, 1998; Caruso, 1999). Ultimately researchers should keep in mind that ERP systems and these new extensions do not simply represent add-on tools that assist businesses with fleeting tasks. On the contrary, ERP systems represent corporate infrastructures, much in the same way that physical highway systems do. As corporations and academics gain increased experience with how this infrastructure impacts business decisions in their disciplines, research into the idiosyncrasies of ERP system design and use should emerge as a recognizable forum for knowledge exchange and research.

نتیجه گیری انگلیسی

Beyond the research issues raised by these special issue articles, it is worth emphasizing that the realm of ERP research and development is constantly changing. During the years in which ERP was an emerging concept, and only a handful of vendors could be recognized, study tended to focus on the offerings of these few firms. Because of the novelty of these systems and unavailability of alternatives, costs were prohibitive for all but very large firms. Today however, a much larger pool of ERP vendors exists, many catering to small and medium sized enterprise niches. It will be interesting to see how these more focused applications develop. They may become quite sophisticated in their decision support role. ERP systems, like other new technologies that have emerged over the years, will soon become well understood. Issues of implementation will cease to be a problem as individuals with real experience emerge to guide companies. Further, the hype associated with promised capabilities should dissolve into well understood strengths and weaknesses of the systems offered by major vendors. This is not to say that these system will not continue to develop, it is just that true knowledge about the systems will be available. Many of today’s “experts” have little more than a few years of experience. Further, this experience is, for the most part, highly focused on particular segments of a particular vendor’s software. True experts that understand the complete scope of an ERP offering are still not readily available. One very interesting avenue of research that relates to implementation experience is the comparison of the recent ERP experience with that of other new technologies of the past. Consider the stir that numerical control machine tools, programmable robots, and automated guided vehicles created in the mid-1980s. The promise of “light-less” factories that were referred to as flexible manufacturing systems, 24-hour operation and unlimited factory flexibility enticed many companies to invest large sums of money. Unfortunately, most of these projects fell far short of initial expectations. Today, these technologies are well understood and they are now intelligently used when appropriate. There are many parallels between ERPs integration and the integration promised through flexible manufacturing system technology of the past. Much could be learned by comparisons of the adoption cycle of past new technologies with the ERP cycle. Certainly, a major shift will be away from basic implementation research itself, and into the much richer area of ERP extendibility (both in concept and system-wide). Some work in system extension has already begun to appear (Fingar, 2000). With the growing popularity of B2B and B2C e-commerce systems, as well as other technologies such as data mining and customer resource management systems, there should be a strong interest in assessing how to best integrate the functionality of these systems to provide competitive advantage for the firm. New business models implied by these developments may emerge. Ironically, the development of next generation hybrid systems aided so much by the efforts of OR modelers in merging MRP and alternative concepts has yet to see any similar substantial support in the context of ERP. Yet ERP as a concept combining global and inter-departmental information sharing and opportunities for collaboration should represent much more fertile ground for such models, particularly since the concept also generally encompasses that of MRP. Researchers should be encouraged to consider how the availability of real time accounting, sales and HR data for example impact real time MRP and purchasing decisions, and vice-versa. The global nature of ERP should also encourage research into the hybridization of supply chain, MRP and other functional models critical to the enterprise. ERP systems now offer businesses an information platform where many of the techniques, concepts and strategies that we have studied over the years can actually be applied. The reality is that much academic research is terribly restrictive in its applicability. In comparison, ERP vendors are forced to tailor their software to market niches such as high volume repetitive manufacturing, the process industry, automotive suppliers, hospitals/heath care providers, restaurants, etc. since these consumers will simply not buy software that is will not work in their particular niche. We can learn much about the assumptions that ERP vendors make about these market niches. Furthermore, many of our own academic research efforts in the area should require a test of applicability before additional speculation is made. Studies of the environments, data availability, and common logic that emerge from these commercial market niches could be invaluable towards better understanding the applicability of academic research.

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