دانلود رایگان ترجمه مقاله ایجاد ارتباط بین توسعه محصول نوآورانه با آگاهی مشتری (نشریه الزویر ۲۰۰۶)
این مقاله انگلیسی ISI در نشریه الزویر در ۱۲ صفحه در سال ۲۰۰۶ منتشر شده و ترجمه آن ۲۱ صفحه میباشد. کیفیت ترجمه این مقاله ارزان – نقره ای ⭐️⭐️ بوده و به صورت کامل ترجمه شده است.
دانلود رایگان مقاله انگلیسی + خرید ترجمه فارسی | |
عنوان فارسی مقاله: |
ایجاد ارتباط بین توسعه محصول نوآورانه با آگاهی مشتری: یک رویکرد داده ها |
عنوان انگلیسی مقاله: |
Linking innovative product development with customer knowledge: a data-mining approach |
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مشخصات مقاله انگلیسی | |
فرمت مقاله انگلیسی | pdf و ورد تایپ شده با قابلیت ویرایش |
سال انتشار | ۲۰۰۶ |
تعداد صفحات مقاله انگلیسی | ۱۲صفحه با فرمت pdf |
نوع مقاله | ISI |
نوع نگارش | مقاله پژوهشی (Research article) |
نوع ارائه مقاله | ژورنال |
رشته های مرتبط با این مقاله | مهندسی صنایع، مدیریت |
گرایش های مرتبط با این مقاله | تکنولوژی صنعتی، تولید صنعتی، داده کاوی، مدیریت صنعتی |
چاپ شده در مجله (ژورنال) | Technovation |
کلمات کلیدی | مدیریت آگاهی مشتری، داده کاوی، توسعه تولید نواوری، تجارت موبایل، بازرسی بازار مبتنی بر وب |
کلمات کلیدی انگلیسی | Customer knowledge management – Data mining – Innovative product development – Mobile commerce – Web-based market survey |
ارائه شده از دانشگاه | گروه مهندسی صنایع و مدیریت مهندسی، تایوان |
نمایه (index) | Scopus – Master Journals – JCR |
شناسه شاپا یا ISSN | ۰۱۶۶-۴۹۷۲ |
شناسه دیجیتال – doi | https://doi.org/10.1016/j.technovation.2005.05.005 |
ایمپکت فاکتور(IF) مجله | ۶٫۲۸۲ در سال ۲۰۱۹ |
شاخص H_index مجله | ۱۱۱ در سال ۲۰۲۰ |
شاخص SJR مجله | ۲٫۳۰۰ در سال ۲۰۱۹ |
شاخص Q یا Quartile (چارک) | Q1 در سال ۲۰۱۹ |
بیس | نیست ☓ |
مدل مفهومی | ندارد ☓ |
پرسشنامه | ندارد ☓ |
متغیر | دارد ✓ |
رفرنس | دارای رفرنس در داخل متن و انتهای مقاله ✓ |
کد محصول | F1731 |
نشریه | الزویر – Elsevier |
مشخصات و وضعیت ترجمه فارسی این مقاله | |
فرمت ترجمه مقاله | pdf و ورد تایپ شده با قابلیت ویرایش |
وضعیت ترجمه | انجام شده و آماده دانلود |
کیفیت ترجمه | ترجمه ارزان – نقره ای ⭐️⭐️ |
تعداد صفحات ترجمه تایپ شده با فرمت ورد با قابلیت ویرایش | ۲۱ صفحه (۱ صفحه رفرنس انگلیسی) با فونت ۱۴ B Nazanin |
ترجمه عناوین تصاویر | ترجمه شده است ✓ |
ترجمه متون داخل تصاویر | ترجمه نشده است ☓ |
ترجمه ضمیمه | ترجمه نشده است ☓ |
ترجمه پاورقی | ندارد ☓ |
درج تصاویر در فایل ترجمه | درج شده است ✓ |
درج فرمولها و محاسبات در فایل ترجمه | به صورت عکس درج شده است ✓ |
منابع داخل متن | به صورت فارسی درج شده است ✓ |
منابع انتهای متن | به صورت انگلیسی درج شده است ✓ |
کیفیت ترجمه | کیفیت ترجمه این مقاله پایین میباشد. |
فهرست مطالب |
چکیده |
بخشی از ترجمه |
چکیده |
بخشی از مقاله انگلیسی |
Abstract In today’s digital economy, knowledge is regarded as an asset, and the implementation of knowledge management supports a company in developing innovative products and making critical management strategic decisions. Product innovation must link technological competence such as engineering and process know-how with knowledge about the customer, so that the product will meet the customers’ needs, in order to secure market acceptance. Even though the importance of knowledge management in the technological innovation of a product has long been recognized, its potential for customer knowledge management has not been widely researched. To address the importance of the need of customer knowledge in innovative product development, this paper proposes an E-CKM model with a methodology for precisely delineating the process of customer knowledge management for innovative product development. In the knowledge management domain, an important task is the conversion of tacit knowledge into explicit knowledge, allowing information technology, such as web-based surveys and data mining to extract customer knowledge from different market segments. An empirical study applying the E-CKM model has been carried out, and it meets the evaluation criteria in a multiple-assessment scheme for showing a satisfactory result. The result is used in the decision making for innovative product development in order to reduce project risk and secure commercial success. ۱- Introduction Technological innovation allows us to cope with increasingly intensive competition when facing challenges from a rapidly changing market situation. Most companies make efforts in knowledge management (KM) to enhance their competitive advantage in product innovation in order to ensure market success. An important component in knowledge management is knowledge creation. Knowledge creation is supported by two key factors: (1) converting tacit knowledge into explicit knowledge, and (2) translating this tacit knowledge of customers or experts into a comprehensible form (Nonaka and Konno, 1998). Elaborating on knowledge work can have innovative outcomes, such as the discovery of new technologies for the development of new products and new processes. For an innovative product to be successful, the product innovation for a company must link technological competence, such as engineering and process know-how, with customer competence such as knowledge of customer needs (Danneels, 2002). The importance of knowledge management in the innovation of product technology has been duly recognized, however, the potential for customer knowledge management has not been studied in any great depth (Grover and Davenport, 2001; Soo et al., 2002), and little discussion has been devoted to the outcomes of knowledge application (Gold et al., 2001; Plessis and Boon, 2004). Thus, among many types of knowledge in a company, product knowledge and customer knowledge fall into the ‘crucial’ category, because they directly contribute to the competitive advantage and financial performance of the company. Therefore, any study on knowledge work improvement should focus on making products/services more attractive in order to increase value (Davenport et al., 1996). In the digital economy, customer relationship management (CRM) is a contemporary management tool. It manages the relationship with customers by employing up-to-date information technology (IT) such as on-line data analysis, data-mining and database management in order to understand, communicate with, and to attract them. Its objective is to satisfy and retain customers (Dyche, 2002). Increasing the productivity of knowledge work and managing customers’ knowledge so as to understand their needs and wants, enables a company to gain a competitive advantage in the market. Recently the ‘customer knowledge management (CKM)’ model has drawn much attention by the combining of both the technology-driven and dataoriented approaches in CRM and the people-oriented approach in KM, with a view to exploit their synergy potential (Davenport et al., 2001; Garcia-Murillo and Annabi, 2002). The expectation from this endeavor is to more articulately delineate knowledge ‘for’ customers, knowledge ‘about’ customers, and knowledge ‘from’ customers, so that a more beneficial product can be delivered to the right group of customers, to prevent product failure and to ensure commercial success. With this background and the objective of addressing the essentiality of customer knowledge in innovative new product development (NPD), this paper presents a methodology to support the argument that in order to ensure business excellence, a product’s features must meet the needs of specific customer groups in the market. This is accomplished by a target marketing-oriented customerknowledge management-model implemented by information technology (E-CKM model). With the introduction of a web-based survey approach and a data-mining technique for observing the outcome of customer knowledge, the customer knowledge management process is as follows. First, the features of a product are transformed into ‘benefits that customers need’, paving the way to understanding the response of the customer toward the benefits those features bring them. Next, a customer’s needs toward the perceived product benefits are taken as a basis for forming market segments. In other words, by converting tacit customer knowledge into explicit knowledge, a company can develop different products for various customer groups having a similar attraction. |