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    The Relationship between Leadership Styles and Organizational Citizenship Behaviors in a Knowledge-Based Organization

    , M.Sc. Thesis Sharif University of Technology Dehdarian, Mohammad Amin (Author) ; Alavi, Babak (Supervisor)
    In this thesis, the relationships between various leadership styles and organizational citizenship behaviors (OCBs) were examined. For this, with a qualitative perspective and using the Grounded Method as the research methodology, dominant OCBs, effective leadership styles, the relationships between leadership behaviors and OCBs, and other influencing parameters were identified. In this regard, with a preliminary feasibility study, the possibility of implementing this research was verified and then, by using twelve in-depth interviews, required information was gathered. Main categories were recognized by coding the data and analyzing the relationship between the coded information. The... 

    Managing Old and Obsolete Knowledge: Exploring the Pattern of Unlearning Actions Based on Different Knowledge Types, The Case of Iranian Software Industry

    , Ph.D. Dissertation Sharif University of Technology Rezazade Mehrizi, Mohammad Hossein (Author) ; Ghasemzadeh, Fereidoun (Supervisor) ; Kermanshah, Ali ($item.subfieldsMap.e)
    The rapid technological changes have faced organizations with a new challenge: old and obsolete knowledge when it hampers organizational change or creates some kind of possible negative impact. Hence, in many cases, companies need to actively deal with such old and obsolete knowledge and their possible negative impacts in order to survive in highly competitive market. Defining unlearning as the intentional process of managing the old and obsolete knowledge in order to reduce its possible negative impacts, this study focuses on how organizations manage their old and obsolete knowledge and how the pattern of unlearning actions varies based on different types of knowledge.
    Analyzing the... 

    Incorporating betweenness centrality in compressive sensing for congestion detection

    , Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings ; 2013 , Pages 4519-4523 ; 15206149 (ISSN); 9781479903566 (ISBN) Ayatollahi Tabatabaii, H. S ; Rabiee, H. R ; Rohban, M. H ; Salehi, M ; Sharif University of Technology
    This paper presents a new Compressive Sensing (CS) scheme for detecting network congested links. We focus on decreasing the required number of measurements to detect all congested links in the context of network tomography. We have expanded the LASSO objective function by adding a new term corresponding to the prior knowledge based on the relationship between the congested links and the corresponding link Betweenness Centrality (BC). The accuracy of the proposed model is verified by simulations on two real datasets. The results demonstrate that our model outperformed the state-of-the-art CS based method with significant improvements in terms of F-Score  

    NSSSD: A new semantic hierarchical storage for sensor data

    , Article 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 4 May 2016 through 6 May 2016 ; 2016 , Pages 174-179 ; 9781509019151 (ISBN) Gheisari, M ; Movassagh, A. A ; Qin, Y ; Yong, J ; Tao, X ; Zhang, J ; Shen, H ; Liu, X. P ; Yong, J ; Barthes, J. P ; Shen, W ; Yang, C ; Luo, J ; Chen, L ; IEEE Systems, Man, and Cybernetics Society; International Working Group on Computer Supported Cooperative Work in Design (CSCWD) ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc 
    Sensor networks usually generate mass of data, which if not structured for future applications, will require much effort on analytical processing and interpretations. Thus, storing sensor data in an effective and structured format is a key issue in the area of sensor networks. In the meantime, even a little improvement on data storing structure may lead to a significant effect on the lifetime and performance of the sensor network. This paper describes a new method for sensor storage that combines semantic web concepts, a data aggregation method along with aligning sensors in hierarchical form. This solution is able to reduce the amount of data stored at the sink nodes significantly. At the... 

    An efficient statistical zero-knowledge authentication protocol for smart cards

    , Article International Journal of Computer Mathematics ; Volume 93, Issue 3 , 2016 , Pages 453-481 ; 00207160 (ISSN) Dousti, M.S ; Jalili, R ; Sharif University of Technology
    Taylor and Francis Ltd  2016
    We construct an efficient statistical zero-knowledge authentication protocol for smart cards based on general assumptions. We show how it can be instantiated using lattice-based primitives, which are conjectured to be secure against quantum attacks. We illustrate the practicality of our protocol on smart cards in terms of storage, computation, communication, and round complexities. Furthermore, we compare it to other lattice-based authentication protocols, which are either zero-knowledge or have a similar structure. The comparison shows that our protocol improves the best previous protocol in several aspects  

    Using background knowledge and context knowledge in ontology mapping

    , Article Frontiers in Artificial Intelligence and Applications ; Volume 174, Issue 1 , 2008 , Pages 56-64 ; 09226389 (ISSN); 9781586038717 (ISBN) Fatemi, H ; Sayyadi, M ; Abolhassani, H ; Sharif University of Technology
    IOS Press  2008
    Recent evaluations of mapping systems show that lack of background knowledge, most often domain specific knowledge, is one of the key problems of mapping systems these days. In fact, at present, most state of the art systems, for the tasks of mapping large ontologies, perform not with such high values of recall (~ 30%), because they mainly rely on label and structure based similarity measures. Disregarding context knowledge in ontology mapping is another drawback that almost all current approaches suffer from. In this paper we use the semantic web as background knowledge and introduce a novel approach for capturing context knowledge from the ontology for improving mapping results. We have... 

    Fuzzy learning in Zamin artificial world

    , Article Fuzzy Sets and Systems ; Volume 152, Issue 3 , 2005 , Pages 603-615 ; 01650114 (ISSN) Halavati, R ; Shouraki, S. B ; Sharif University of Technology
    Fuzzy logic is a suitable approach for linguistic knowledge representation and Artificial Life (A-Life) is a field of study dedicated to studying life and synthesis of creatures like those of real world. Thus, as our understanding about life is more in linguistic form than exact numbers, fuzzy logic seems to be a suitable logic for artificial creatures. In this paper, we have tried to apply fuzzy logic to an A-life environment and have studied the changes in capabilities of its creatures when using fuzzy minds. To do this, we have selected an A-life model called Zamin, which has creatures with case-based reasoner brains who must learn their environmental rules, search for food, avoid... 

    Logic-based XML information retrieval for determining the best element to retrieve

    , Article Third International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2004: Advances in XML Information Retrieval, Dagstuhl Castle, 6 December 2004 through 8 December 2004 ; Volume 3493 , 2005 , Pages 88-99 ; 03029743 (ISSN) Karimzadegan, M ; Habibi, J ; Oroumchian, F ; Sharif University of Technology
    Springer Verlag  2005
    This paper presents UOWD-Sharif team's approach for XML information retrieval. This approach is an extension of PLIR which is an experimental knowledge-based information retrieval system. This system like PLIR utilizes plausible inferences to first infer the relevance of sentences in XML documents and then propagates the relevance to the other textual units in the document tree. Two approaches have been used for propagation of confidence. The first approach labeled "propagate-DS" first propagates the confidence from sentences to upper elements and then combines these evidences by applying Dempster-Shafer theory of evidence to estimate the confidence in that element. The second approach... 

    Knowledge Management Application in Developing Marketing Management

    , M.Sc. Thesis Sharif University of Technology Ravanbakhsh, Ramak (Author) ; Shavandi, Hassan (Supervisor)
    In recent years the advent of internet and web has transformed the process of data collection and make organizational and environmental data more accessible. On the one hand, many organizations have realized that the knowledge in these huge databases is key to supporting the various organizational decisions. Particularly, the knowledge about customers from these databases is critical for the marketing function. But, much of this useful knowledge is hidden and untapped. On the other hand, the intense competition and increased choices available for customers have created new pressures on marketing decision-makers and there has emerged a need to manage customers in a long-term relationship.... 

    Understanding Consumer Knowledge of Product

    , M.Sc. Thesis Sharif University of Technology Yazdani, Elham (Author) ; Modares Yazdi, Abdolhamid (Supervisor)
    Human beings have always been tried to make new, innovative things to benefit from. The new things have been improved from a wheel to a smart car and the benefits have been improved from survival to survival plus fitness, happiness, sense of belonging, security and etc. Companies which have been following the human nature, and thinking of new, innovative products and consumers’ benefits cohesively, could gain competitive advantages. But the process of new product development has always been costly and due to the high failure rate it is risky. One of the main challenges in NPD projects is understanding consumer's behavior. Most companies try to identify consumer's needs by knowledge... 

    The Evaluation of Application of Unfolding Model of Turnover to Explain the Turnover of Knowledge Workers in Some Iranian Software Companies

    , M.Sc. Thesis Sharif University of Technology Rahdari, Hossein (Author) ; Alavi, Babak (Supervisor)
    Voluntary turnover has direct and indirect expenses for organizations and for this purpose; it has one of the richest literatures in academic works. Due to the especial role of knowledge workers in organizations, these expenses in knowledge-based organizations are more important and more costly than that of other organizations. One of the latest theories in the field of voluntarily turnover was introduced by Lee and Mitchell (1994) that was named “Unfolding Model of Turnover” to describe the process of decision of voluntary turnover. This theory is distinguished from its similar theories from two main aspects: First, they introduced new elements like shock. Second, they introduced... 

    The Neuroscience of Religious Experience: On John Hick Work about Religion and Neuroscience

    , M.Sc. Thesis Sharif University of Technology Mahmoudi Hashemi, Navid (Author) ; Hosseini, Hassan (Supervisor)
    The study of the religious experience is always one of the most important topics in researches related to the religion field. Religious and mystical experiences have always been one of the key religious concepts. The religious experience, like other human experiences, always comes with reactions in the human brain. Study of the religious experience from a neuroscience perspective can help us to answer questions and issues in the field of religious experience and cognitive credit of it. Assessment of what happens in the people’s brain during rituals like meditation or deep concentration provides a good window into understanding of what this means for people, being mystical or religious or... 

    Applying data mining techniques to business process reengineering based on simultaneous use of two novel proposed approaches

    , Article International Journal of Business Process Integration and Management ; Volume 6, Issue 3 , 2013 , Pages 247-267 ; 17418763 (ISSN) Ghanadbashi, S ; Khanbabaei, M ; Saniee Abadeh, M ; Sharif University of Technology
    Business process reengineering (BPR) can help organisations to identify and improve their business processes. A major problem is the high volume of business process datasets with characteristics such as high dimensionality, noise, uncertainty in process datasets and complicated interactions among process variables. Data mining (DM) techniques facilitate the identification and analysis of business processes, and improve their performance by extracting the hidden knowledge in business process datasets. In this paper, we present the application of DM to BPR, based on two novel approaches. By a literature review, the first approach proposes DMbBPR model, mainly focuses on the applications of... 

    A knowledge-based genetic algorithm for a capacitated fuzzy p-hub centre network under uncertain information

    , Article Expert Systems ; Volume 35, Issue 4 , 2018 ; 02664720 (ISSN) Niknamfar, A. H ; Akhavan Niaki, S. T ; Karimi, M ; Sharif University of Technology
    Blackwell Publishing Ltd  2018
    In real applications of hub networks, the travel times may vary due to traffic, climate conditions, and land or road type. To facilitate this difficulty, in this paper, the travel times are assumed to be characterized by trapezoidal fuzzy variables to present a fuzzy capacitated single allocation p-hub centre transportation (FCSApHCP) with uncertain information. The proposed FCSApHCP is redefined into its equivalent parametric integer non-linear programming problem using credibility constraints. The aim is to determine the location of p capacitated hubs and the allocation of centre nodes to them in order to minimize the maximum travel time in a hub-and-centre network under uncertain... 

    Knowledge active forgetting: the forgotten side of knowledge management

    , Article PICMET 2009 - 2009 Portland International Conference on Management of Engineering and Technology, Portland, OR, 2 August 2009 through 6 August ; 2009 , Pages 1007-1018 ; 1890843202 (ISBN); 9781890843205 (ISBN) Rezazade Mehrizi, M. H ; Bagherzadeh Niri, M ; Rahimi, M ; Yarmand, H ; Sharif University of Technology
    As Gregory Bateson, the British social scientists, once said "You can't live without an eraser", the process of learning is not a unidirectional way toward accumulation of knowledge, rather, organizations should critically evaluate the value of their knowledge and if necessary, actively forget no-longer-useful knowledge. A brief review of related literature shows that the concept of knowledge active forgetting (KAF) is a crucial aspect of organizational learning and knowledge management. However, many aspects of this topic deserve more attention by researchers. The main gap in the literature seems to be related to the linkage between peculiar aspects of knowledge (such as stickiness, context... 

    The influence of public R&D and knowledge spillovers on the development of renewable energy sources: The case of the Nordic countries

    , Article Technological Forecasting and Social Change ; Volume 146 , 2019 , Pages 450-463 ; 00401625 (ISSN) Miremadi, I ; Saboohi, Y ; Arasti, M ; Sharif University of Technology
    Elsevier Inc  2019
    Energy innovation is a key requirement to limit global warming and tackle climate change in the years to come. A better understanding of the public R&D mechanism is likely to improve allocation of resources for energy innovation. Thus, the present paper evaluates the impacts of public R&D and knowledge spillovers on the development of renewable energy sources. To achieve this goal, knowledge flow has been modeled as a function of public R&D expenditures, cumulative knowledge stocks and knowledge spillovers. To show the application of the model, the Nordic countries as one of the pioneers in renewable technologies have been chosen. Results show the cumulative knowledge stock will increase to... 

    A comprehensive analysis of twitter trending topics

    , Article 5th International Conference on Web Research, ICWR 2019, 24 April 2019 through 25 April 2019 ; 2019 , Pages 22-27 ; 9781728114316 (ISBN) Annamoradnejad, I ; Habibi, J ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Twitter is among the most used microblogging and online social networking services. In Twitter, a name, phrase, or topic that is mentioned at a greater rate than others is called a «trending topic» or simply «trend». Twitter trends has shown their powerful ability in many public events, elections and market changes. Nevertheless, there has been very few works focusing on understanding the dynamics of these trending topics. In this article, we thoroughly examined the Twitter's trending topics of 2018. To this end, we accessed Twitter's trends API for the full year of 2018, and devised six criteria to evaluate our dataset. These six criteria are: lexical analysis, time to reach, trend... 

    Steganography in TeX documents

    , Article Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008, Xiamen, 17 November 2008 through 19 November 2008 ; December , 2008 , Pages 1363-1366 ; 9781424421978 (ISBN) Shirali Shahreza, M ; Shirali Shahreza, S ; Sharif University of Technology
    Steganography is a method for hidden exchange of information by hiding data in a cover media such as image or sound. Text Steganography is one of the most difficult methods because a text file is not a proper media to hide data in it. In this paper we propose a new text Steganography method. In this method, we hide data in TeX documents. This method hides the data in places where there is a ligature such as "fi". © 2008 IEEE  

    Novel meta-heuristic algorithms for clustering web documents

    , Article Applied Mathematics and Computation ; Volume 201, Issue 1-2 , 2008 , Pages 441-451 ; 00963003 (ISSN) Mahdavi, M ; Haghir Chehreghani, M ; Abolhassani, H ; Forsati, R ; Sharif University of Technology
    Clustering the web documents is one of the most important approaches for mining and extracting knowledge from the web. Recently, one of the most attractive trends in clustering the high dimensional web pages has been tilt toward the learning and optimization approaches. In this paper, we propose novel hybrid harmony search (HS) based algorithms for clustering the web documents that finds a globally optimal partition of them into a specified number of clusters. By modeling clustering as an optimization problem, first, we propose a pure harmony search-based clustering algorithm that finds near global optimal clusters within a reasonable time. Then, we hybridize K-means and harmony clustering... 

    Taxonomy construction using compound similarity measure

    , Article OTM Confederated International Conferences CoopIS, DOA, ODBASE, GADA, and IS 2007, Vilamoura, 25 November 2007 through 30 November 2007 ; Volume 4803 LNCS, Issue PART 1 , 2007 , Pages 915-932 ; 03029743 (ISSN); 9783540768463 (ISBN) Neshati, M ; Hassanabadi, L. S ; Sharif University of Technology
    Springer Verlag  2007
    Taxonomy learning is one of the major steps in ontology learning process. Manual construction of taxonomies is a time-consuming and cumbersome task. Recently many researchers have focused on automatic taxonomy learning, but still quality of generated taxonomies is not satisfactory. In this paper we have proposed a new compound similarity measure. This measure is based on both knowledge poor and knowledge rich approaches to find word similarity. We also used Neural Network model for combination of several similarity methods. We have compared our method with simple syntactic similarity measure. Our measure considerably improves the precision and recall of automatic generated taxonomies. ©...