Sharif Digital Repository

Embedded system Project management , because of lots of unstable parameters in design and also diversity of the technical knowledge ,requires a complex and agile project management methodology. Whereas in these projects , different knowledge fields are applied (such as electronics ,telecommunication ,control and robotics) and software is an evitable part of these systems ,project managers can not be familiar with all aspects of the technical and professional in deep manner. Considering that usually ,the project managers of such projects are elected from professionals of hardware or mechanical sections and not in deep inception of software project management , this thesis focus on a new model... 

Knowledge flows across organizational boundaries shape a firm’s knowledge base. Knowledge structuration refers to the two structural dimensions of a firm's knowledge base: Breadth (knowledge across technology domains) and depth (knowledge within technology domains). Despite the conceptual difference between the terms “(technological) knowledge” and “technology”, the two are often used interchangeably in empirical research on technology management. Our paper adopts an innovative approach, taking advantage of Machine Learning and clinical studies conducted by biopharma companies, to offer an empirical way of distinguishing between knowledge and technology. Moreover, we restructure the... 

The purpose of this study is to provide a framework to demonstrate the organizational capabilities of chemical knowledge-based firms and analyze the relationship between these capabilities and exports. For this purpose, by combining 18 different output-based indicators, a model that includes six technological, manufacturing, research and development, marketing, organization and finance capabilities, was designed. Finally, in addition to analyzing the relationship between exports and the level of capabilities of knowledge-based firms, a comparison between the two groups of export and non-export firms and the analysis of these firms' current export situation was made in the period 2015-2018.... 

A company's knowledge is one of its most valuable assets. In this regard, project-based companies operating temporarily with constantly changing project members try hard to manage their knowledge, an important asset that also provides them with a competitive advantage. One of the biggest challenges of project-based organizations is how to facilitate the processes of sharing knowledge which enables the organization to capture and implement its knowledge successfully. In this study, the governance mechanisms of innovation ecosystems are used to support the effective use of knowledge-sharing mechanisms across projects and subgroups of the organization.This study analyzes Kayson holding as its... 

A company's knowledge is one of its most valuable assets. In this regard, project-based companies operating temporarily with constantly changing project members try hard to manage their knowledge, an important asset that also provides them with a competitive advantage. One of the biggest challenges of project-based organizations is how to facilitate the processes of sharing knowledge which enables the organization to capture and implement its knowledge successfully. In this study, the governance mechanisms of innovation ecosystems are used to support the effective use of knowledge-sharing mechanisms across projects and subgroups of the organization.This study analyzes Kayson holding as its... 

The existing continual learning methods are mainly focused on fully-supervised scenarios and are still not able to take advantage of unlabeled data available in the environment. Some recent works tried to investigate semi-supervised continual learning (SSCL) settings in which the unlabeled data are available, but it is only from the same distribution as the labeled data. This assumption is still not general enough for real-world applications and restricts the utilization of unsupervised data. In this work, we introduce Open-Set Semi-Supervised Continual Learning (OSSCL), a more realistic semi-supervised continual learning setting in which out-of-distribution (OoD) unlabeled samples in the... 

The widespread use of internet systems and their popularity have led to an increase in the need for recommender systems, and extensive research has been done to address this need. Systems that suggest desirable options to users based on available information are recognized as recommender systems. Important examples of these systems exist in online stores and social networks. In online shops, data specific to each user is very limited and there are limited connections between users and products, which poses challenges for recommender systems. Incomplete or incorrect data may also cause errors in the system, such that the system performs the recommendation process based on wrong information....