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The performance implications of leveraging internal innovation through social media networks: An empirical verification of the smart fashion industry
پیامدهای عملکرد اعمال نفوذ نوآوری داخلی از طریق شبکه های رسانه های اجتماعی: یک اثبات تجربی از صنعت مد های هوشمند-2017 Despite rigorous empirical research exploring the changes in innovation dynamics triggered by Social Media Net
works (SMNs), the benefits coming from the use of these digital platforms for knowledge search in innovative
activities for small to medium enterprises (SMEs) are still unexplored. Customers become the new trailblazers.
Thus, by adopting a customer led innovation perspective, this paper seeks to measure the effect on return on in
vestment (ROI) of the use of SMNs as external drivers for supporting internal innovation search processes. On the
basis of the extant literature on information system and social network analysis, the research describes and eval
uates the multidimensional activities interwoven into the open innovation process, driven by integrating the five
constructs of structural dimension, relational behaviour, cognitive dimension, knowledge transfer, and legitimi
zation into our hypothesised conceptual model.
Empirical research was conducted via the Classification Regression Tree (CART) on a sample of 2548 SMEs be
longing to the fashion industry and based in Italy and in the United Kingdom. This study is of importance to ac
ademics and practitioners due to the increasing significance taken on by the adoption of social media networks in
the fashion industry to improve innovation search. Recommendations are made to fashion managers and social
media experts to support the planning and development of new products and services. New contributions are of
fered to the innovation and knowledge management literature. In addition, theoretical implications and avenues
for future research are also considered.
Keywords: SMEs | Fashion industry | Social media networks | Return on investment | Knowledge search | Innovation |
مقاله انگلیسی |
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Where and how to search? Search paths in open innovation
از کجا و چگونه به جستجو؟ مسیر جستجو در نوآوری باز-2016 Article history:Received 3 September 2012Received in revised form 22 August 2015 Accepted 23 August 2015Keywords: Search space Search heuristicsOrganizational search Innovation intermediaries Problem framing Boundary spanningSearch for external knowledge is vital for firms’ innovative activities. To understand search, we propose two knowledge search dimensions: search space (local or distant) and search heuristics (experiential or cognitive). Combining these two dimensions, we distinguish four search paths – situated paths, analogical paths, sophisticated paths, and scientific paths – which respond to recent calls to move beyond “where to search” and to investigate the connection with “how to search.” Also, we highlight how the mechanisms of problem framing and boundary spanning operate within each search path to identify solutions to technology problems. We report on a study of 18 open innovation projects that used an innovation inter- mediary, and outline the characteristics of each search path. Exploration of these search paths enriches previous studies of search in open innovation by providing a comprehensive, but structured, framework that explains search, its underlying mechanisms, and potential outcomes.© 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-NDlicense (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Search space | Search heuristic | Organizational searc | Innovation intermediaries | Problem framing | Boundary spanning |
مقاله انگلیسی |