نتایج جستجو برای: sharing and analyzing data

تعداد نتایج: 17039092  

Journal: :توسعه کارآفرینی 0
یوسف وکیلی استادیار دانشکده مدیریت دانشگاه خوارزمی سلطانعلی شهریاری استادیار دانشکده مدیریت دانشگاه خوارزمی تهران

research on ambidexterity is burgeoning, yet understanding of the antecedents and consequences of both activities remains rather unclear. the purpose of this paper is to explore the effects of knowledge sharing on organizational ambidexterity (exploration and exploitation) as well as the mediating effect of mediating role of absorptive capacity. the research statistical population constitutes 9...

Considering the importance of knowledge sharing as the most important factor in the science production process, this study investigated the relationship between these two variables from viewpoints of faculty members of Knowledge and Information Science at public universities in Tehran.  This study was an applied and descriptive-correlation study. The statistical population consisted of 48 facul...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سمنان - دانشکده مدیریت و اقتصاد 1392

these days, all department stores make an effort to provide their clients with valuable products in order to project the best image for them. as a result, clients’ comprehension risk will decrease and they will be more willing to repurchase. having a good image is really important for the department stores because it makes an impression on clients’ comprehension of both quality and risk. consid...

Fateme Ziglari Molood Sadeghiyan Seyede Parvane Noorbakhsh Samani, Sirous Keshavarz

This study aimed to investigate the association between organizational agility and knowledge sharing process in the Iran's Central Plateau Contractor Company (ICPCC). For this purpose, one main hypothesis and three subsidiary hypotheses were formulated to assess the relation between organizational agility parameters, leadership and shared identity, strong strategy, and adaptable organizational ...

Journal: :Proceedings of the ... AAAI Conference on Artificial Intelligence 2021

Federated learning is a setting where agents, each with access to their own data source, combine models learned from local create global model. If agents are drawing different distributions, though, federated might produce biased model that not optimal for agent. This means face fundamental question: should they join the or stay model? In this work, we show how situation can be naturally analyz...

2009
Kim-Thomas Möller Marc-Florian Müller Michael Sonnenfroh Michael Schöttner

In-memory data sharing for grids allow location-transparent access to data stored in volatile memory. Existing Grid middlewares typically support only explicit data transfer between Grid nodes. We believe that Grid systems benefit from complementing traditional messagepassing techniques with a data-oriented sharing technique. The latter includes automatic replica management, data consistency, a...

Journal: :J. Comput. Syst. Sci. 2010
Ping Yang Shiyong Lu Mikhail I. Gofman Zijiang Yang

Recently, scientific workflows have emerged as a platform for automating and accelerating data processing and data sharing in scientific communities. Many scientific workflows have been developed for collaborative research projects that involve a number of geographically distributed organizations. Sharing of data and computation across organizations in different administrative domains is essent...

Journal: :International Journal of Computer Applications 2015

Journal: :Journal of the American Medical Informatics Association 2014

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