The Impact of Entrepreneurial Strategy of the manufacturers on timely providing of parts for super-engine manufacturers (Case study: Saipa Megamotor Company)

Purpose: The research objective is to achieve a solution to improve the method of timely providing of parts through the entrepreneurial strategy for super-engine producers. The main question of this research is this: Is there a significant relationship between the entrepreneurial strategy of super-engine producers and the timely providing of parts? The research hypothesis is this: There is a positive relationship between the entrepreneurial strategy of super-engine producers and timely providing of parts. Methodology: The Method of this research is survey research with field study. The data collection tool is a researcher-made questionnaire whose validity has been confirmed by experts in the field. The reliability of the questionnaire was found acceptable by calculating the Cronbach's alpha coefficient. The statistical population of this research is the entrepreneurs in the parts manufacturing industry who are working in Mega motor Saipa company in the industrial towns of Tehran, Karaj, Golpayeghan, and Tabriz, which a total number of those was 400 people in 2016. The statistical sample size is calculated according to Cochran's table and is equal to 196 people. Findings: The AHP method has been used for ranking the effective factors. The software of SPSS 22 and Expert Choice have been used for data extraction and analysis. The results showed that the research hypothesis is confirmed and there is a positive relationship between the entrepreneurial strategy of super-engine producers and the timely providing of parts. This result can be useful in similar manufacturing industries and institutions. It is suggested to be conducted similar researches in other related industries to achieve a definitive conclusion. Originality/Value: In this paper, The Impact of the Entrepreneurial Strategy of the manufacturers on timely providing of parts for super-engine manufacturers is presented

HYPERLINK NETWORK SYSTEM AND IMAGE OF GLOBAL CITIES: WEBPAGES AND THEIR CONTENTS

A distinctive trend of globalization research is a conceptual expansion that mirrors the penetration of globalization in various aspects of life. The World Wide Web has become the ultimate platform to create and disseminate information in this era of globalization. Although the importance of web-based information is widely acknowledged, the use of this information in global city research is not significant yet. Therefore, the purpose of this research is to extend the concept of globalization to the efficiency of information networks and the thematic dimensionality of the conveyed images from webpages. To this end, 264 global and globalizing cities are selected. The city hyperlink networks are constructed from the web crawling results of each city, and hyperlink network analysis measures the effectiveness of these hyperlink networks. The textual contents are also extracted from the crawled webpages, and the thematic dimensionality of the textual contents is measured by quantified content analysis and multidimensional scaling. The efficiency of the hyperlink network in information flow is confirmed to be a new consideration that shapes the globality of cities. The cities with high efficiency of connections have faster and easier access, which means better structure for city image formation. Specifically, social networking websites are the center of this information flow. This means that social interactions on the Web play a crucial role to form the images of cities. Apart from the positivity and the negativity of the city image, the dimensionality of cities on the thematic space denotes how they are expressed, discussed, and shared on the Web. The image status based on dimensions of globalization is an important starting point to city branding. It is concluded that a research framework handling information networks and images simultaneously deepens the understanding of how the structure and the contents on the Web affect the formation and maintenance of global city networks. Overall, this research demonstrates the usefulness of information networks and images of cities on the Web to overcome data inconsistency and scarcity in global city research

Management for Bachelors

The textbook contains educational module, which embraces the content of main regulatory disciplines on specialists training by the direction 6.030601 “Management” in the knowledge branch 03.06 “Management and administration” of the educational and qualification level “Bachelor”. According to the content the disciplines completely conform to curricula approved by scientific and methodological commission on management and agreed with logical and structural scheme of educational process. The textbook embraces almost all aspects of bachelor training. The chapters contain questions for self-control and list of recommended literature. While creating the chapters the results of fundamental and applied scientific researches of the evaluation branch, the forecasting and management of economic potential of complicated industrial system were used

Communicating with Culture: How Humans and Machines Detect Narrative Elements

To understand how people communicate, we must understand how they leverage shared stories and all the knowledge, information, and associations contained within those stories. I examine three classes of narrative elements that convey a wealth of cultural knowledge: Propp\u27s morphology, motifs, and discourse structure. Propp\u27s morphology communicates how roles and actions drive a narrative forward; motifs fill those roles and actions with specific, remarkable events; discourse groups these into a coherent structure to convey a point. My thesis has three aims: first, to demonstrate that people can reliably detect and identify all three of these narrative elements; second, to develop automatic detectors for discourse and motifs; third, to demonstrate the deep relation between these narrative elements and other theories of narrative structure and knowledge representation that I refer to as the \textit{continuum of communication}. The first step of my work answers two key questions about Propp\u27s morphology by demonstrating the reliability of annotators applying Propp\u27s scheme across a variety of experiments, in a double-blind annotation study. Additionally, I demonstrate a shortcoming in Propp\u27s scheme, demonstrating areas in which there are elements present in the folktales he analyzed that are not part of his morphology. The second step of my work, showing that people familiar with motifs can reliably detect when they are being used to share information and associations, approaches this problem by performing a large-scale annotation study of 21,000 examples into four categories performed by three pairs of annotators over a period of 11 weeks. I show that, in a double-blind annotation study, people familiar with the motifs had a moderate to high degree of agreement, demonstrating the reliability of humans at this task. The third step demonstrates the reliability of applying a theory of news discourse structure to news articles via a double-blind annotation study and, using the results of this annotation, demonstrate a preliminary detector of the news discourse function of paragraphs in news articles. The fourth step of my work, detecting motific usage automatically, consists of a large-scale pipeline that achieves moderate performance. This pipeline is the first work towards automatically detecting motific usage of motifs and beats out simple baselines while comparing favorably too and generalizing better than a simple neural network baseline system. Additionally, the pipeline uses explainable features that can be used in future work to further develop our understanding of how humans automatically detect motifs. Finally, I describe an exploration of the broader scope of narrative elements that communicate information between individuals who share a cultural or sub-cultural background. This work is based off of a small-scale, in-lab annotation of posts from the “incel” subculture, a niche internet community with extremist elements and, at times, disturbing content. This small annotation has revealed a complex landscape encompassing fourteen categories, more than three times the number of elements as the large-scale annotation, many of which resemble the moving parts of other theories on narrative structure and cognition, including Vladimir Propp\u27s morphology of folktales and Silvan Tomkins\u27 script theory. I describe these relations and provide a rough continuum of the landscape of narrative communication

Three Essays on Culture and Whistleblowing: A Multimethod Comparative Study of the United States and Japan.

Ph.D. Thesis. University of Hawaiʻi at Mānoa 2017

Translation Alignment and Extraction Within a Lexica-Centered Iterative Workflow

This thesis addresses two closely related problems. The first, translation alignment, consists of identifying bilingual document pairs that are translations of each other within multilingual document collections (document alignment); identifying sentences, titles, etc, that are translations of each other within bilingual document pairs (sentence alignment); and identifying corresponding word and phrase translations within bilingual sentence pairs (phrase alignment). The second is extraction of bilingual pairs of equivalent word and multi-word expressions, which we call translation equivalents (TEs), from sentence- and phrase-aligned parallel corpora. While these same problems have been investigated by other authors, their focus has been on fully unsupervised methods based mostly or exclusively on parallel corpora. Bilingual lexica, which are basically lists of TEs, have not been considered or given enough importance as resources in the treatment of these problems. Human validation of TEs, which consists of manually classifying TEs as correct or incorrect translations, has also not been considered in the context of alignment and extraction. Validation strengthens the importance of infrequent TEs (most of the entries of a validated lexicon) that otherwise would be statistically unimportant. The main goal of this thesis is to revisit the alignment and extraction problems in the context of a lexica-centered iterative workflow that includes human validation. Therefore, the methods proposed in this thesis were designed to take advantage of knowledge accumulated in human-validated bilingual lexica and translation tables obtained by unsupervised methods. Phrase-level alignment is a stepping stone for several applications, including the extraction of new TEs, the creation of statistical machine translation systems, and the creation of bilingual concordances. Therefore, for phrase-level alignment, the higher accuracy of human-validated bilingual lexica is crucial for achieving higher quality results in these downstream applications. There are two main conceptual contributions. The first is the coverage maximization approach to alignment, which makes direct use of the information contained in a lexicon, or in translation tables when this is small or does not exist. The second is the introduction of translation patterns which combine novel and old ideas and enables precise and productive extraction of TEs. As material contributions, the alignment and extraction methods proposed in this thesis have produced source materials for three lines of research, in the context of three PhD theses (two of them already defended), all sharing with me the supervision of my advisor. The topics of these lines of research are statistical machine translation, algorithms and data structures for indexing and querying phrase-aligned parallel corpora, and bilingual lexica classification and generation. Four publications have resulted directly from the work presented in this thesis and twelve from the collaborative lines of research