کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5036938 1472382 2017 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identifying new business opportunities from competitor intelligence: An integrated use of patent and trademark databases
ترجمه فارسی عنوان
شناسایی فرصت های کسب و کار جدید از هوش رقیب: استفاده یکپارچه از پایگاه های ثبت اختراع و علامت تجاری
کلمات کلیدی
فرصت شغلی، ثبت اختراع، علامت تجاری، هوش رقابتی، مبتنی بر فناوری،
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری کسب و کار و مدیریت بین المللی
چکیده انگلیسی


- This study suggests an approach to identify business opportunities from competitor intelligence.
- Patent data was used to examine a firm's technological capability and similarity with competitors.
- Trademark data was used to investigate a firm's target gods and services.
- Collaborative filtering, association mining and text mining were used as main methods.
- Business opportunities were identified from market penetration and expansion perspectives.

This study aims to analyze the position of technology-centered companies in complex market dynamics and discover new business opportunities from competitor intelligence. For this, we consider both technology and market characteristics in providing competitor intelligence by utilizing patent data as a representative proxy for a firm's technology, and trademark data as an information source for the firm's target goods and services. To analyze the two types of data, a collaborative filtering approach together with portfolio analyses and association mining techniques were adopted. Theoretically, this is one of the earliest attempts to combine patent data and trademark data to investigate corporate strategies. In practice, the research results are expected to be used as a decision criterion to diagnose the economic value that companies can obtain by entering the market, as well as the technological value to be passed onto their customers. Thus, the proposed approach can be useful to support effective technology and business strategies in a firm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Technological Forecasting and Social Change - Volume 119, June 2017, Pages 170-183
نویسندگان
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