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    Marketing Agility; the Missing Chain in Impact Model of Innovation Ambidexterity on Marketing Innovation in Turbulent Market

    , M.Sc. Thesis Sharif University of Technology Hosseini Veleshkolaei, Amir Hossein (Author) ; Najmi, Manoochehr (Supervisor) ; Tasavori, Misagh (Supervisor)
    Abstract
    Marketing innovation is an idea that is the focal point of numerous marketing scholars recently. This study investigated relationships among the innovation ambidexterity, marketing innovation, marketing agility, and the moderator effect of market turbulence. Attempts are made to understand ambidexterity and agility notions from marketing perspectives to accelerate marketing innovation and identify measures for all of the mentioned constructs. Main theories which have been used to justify the constructs’ relationships are dynamic capability point of view, resource-based theory, and ambidexterity theory. Structural equation modeling (SEM), utilizing the technique of partial least squares... 

    Cultural Identity Among Iranian English Language Teachers: A Multi-hase Mixed-Method Researc

    , M.Sc. Thesis Sharif University of Technology Bahrami, Ava (Author) ; Rezaei, Saeed (Supervisor)
    Abstract
    Teaching a foreign language and its culture implicitly might result in internalizing the foreign culture and identity (Brown, 2001). This might consequently cause cultural identity crisis and loss in a broader sense. As provided by Eslami Nodooshan (1998), considering the importance of cultural awareness raised through cultural studies and its influence on language policy and accordingly language classes provided the ground for this study to investigate the components of Iranian cultural identity, the degree of Iranian EFL teachers’ cultural identity, and the statistically significant difference between the Iranian EFL teachers’ cultural identity with different demographic characteristics.... 

    The Role of Safety Attitudes and Attitudes Toward Vehicle in Urban Crashes

    , M.Sc. Thesis Sharif University of Technology Khodadadi, Ali (Author) ; Kermanshah, Mohammad (Supervisor)
    Abstract
    Nearly 1.2 million people die in road crashes each year, and as many as 50 million are injured in the world. In Iran, approximately 800 thousand crashes occur annually killing up to 43 people per day. Given that over 90% of accidents are related to human factors, using models that incorporate driver’s attitudes and behavior can be highly predictive of crashes. The main objective of the current research is to examine the impact of drivers’ attitudes on road crashes along with other factors such as socio-demographic characteristics and vehicle type. This study uses data from a self-completed questionnaire among a representative sample of Iranian drivers living in Tehran. The Questionnaire... 

    Development and Validation of a Robust Model and Questionnaire of Authorial Identity: A Multiphase Study of Authorial Identity

    , M.Sc. Thesis Sharif University of Technology Jamshidi, Saman (Author) ; Rezaei, Saeed (Supervisor) ; Dehqan, Mahmood (Co-Supervisor)
    Abstract
    With the considerable increase in academic publications and ever-growing concern for academic writing, academic literacy, and plagiarism in recent years, investigating academic writers’ ‘authorial identity’ and ‘authorial voice’ has been of utmost importance in academic milieu. The main purposes of this study were achieved by going through five main phases including 1) hypothesizing a model of authorial identity, 2) developing and validating a questionnaire based on the model, 3) testing the model based on the questionnaire data, 4) searching for possible significant difference in authorial identity of academic writers from three different fields of English, Biology, and Engineering, and 5)... 

    Development of Macro-Level Crash Prediction Models, using Advanced Statistical and Machine Learning Methods

    , Ph.D. Dissertation Sharif University of Technology Mohammadpour, Iman (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Road casualty is the fifth leading cause of death in Iran. To adopt proper countermeasures there is a need to evaluate the consequences of the implemented policies. Despite the development of crash time series models, these methods have not been in accordance with the multivariate, seasonal, and non-linear nature of crash data. On the other hand, the interpretable crash causal analysis frameworks are descriptive and they lack predictive power. Moreover, the unobserved homogeneity between observations has been widely overlooked in the crash causal analysis literature. This thesis introduces a novel causal analysis methodology by combining the interpretability and prediction power of the... 

    Determining the Acceptance and the Willingness to Pay for Private and Public Autonomous Vehicles

    , Ph.D. Dissertation Sharif University of Technology Naderi, Hossein (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Autonomous vehicles (AVs) offer numerous advantages in reducing traffic accidents, alleviating congestion, and enhancing mobility for special populations such as the elderly and disabled. However, for society to truly benefit from these advantages, widespread acceptance and usage of these cars are necessary. It is crucial to identify the factors that promote acceptance of these cars in different societies and take action to strengthen them, involving both governments and car manufacturers. So far, most studies on AVs acceptance models have primarily focused on developed countries, with less attention given to how people in developing countries perceive this technology. Additionally, previous... 

    Acceleration of Causal Structure Learning Algorithms based on the Observational Data

    , M.Sc. Thesis Sharif University of Technology Shahbazinia, Amir Hossein (Author) ; Salehkaleybar, Saber (Supervisor) ; Hashemi, Matin (Supervisor)
    Abstract
    One of the key objectives in many fields in machine learning is to discover causal relationships among a set of variables from observational data. In linear non-Gaussian acyclic models (LiNGAM), it can be shown that the true underlying causal structure can be identified uniquely from merely observational data. DirectLiNGAM algorithm is a well-known solution to learn the true causal structure in high dimensional setting. DirectLiNGAM algorithm executes in a sequence of iterations and it performs a set of comparisons between pairs of variables in each iteration. Unfortunately, the runtime of this algorithm grows significantly as the number of variables increases.In this thesis, we propose a... 

    Investor Experience in Chabahar Free Zone: Scale Generation

    , M.Sc. Thesis Sharif University of Technology Pourvaziri, Rouhollah (Author) ; Najmi, Manoochehr (Supervisor) ; Arian, Hamidreza (Supervisor)
    Abstract
    Free economic zones in Iran have been established with the goal of developing infrastructure, improving living conditions, fostering economic growth, attracting capital and increasing income, productive job creation, regulating job and goods market, maintaining active presence in international and regional markets, manufacturing and exporting of goods and providing public services. Yet many free economic zones have fallen short of these goals. Considering the government's inability to fund the development of the free economic zones with its limited financial capacity and shortcomings in terms of management system, it is imperative to the development of these regions that private sector... 

    Determination and Simulation of Socio-Economic Urban Water Conservation Behavior Using Structural Equation Modeling and Agent Based Modeling

    , M.Sc. Thesis Sharif University of Technology Raoof, Mohammad Amin (Author) ; Danesh Yazdi, Mohammad (Supervisor)
    Abstract
    Water shortage, population growth, and high levels of urban water demand are among main challenges of water demand management for developing countries and cities, and also for megacities. Urban water management systems, as they are complex adaptive systems, complex interactions exist among elements affecting the system. In other words, action from a subpart can trigger other parts, and also the whole system to respond in reaction. In this study, socio-economic water consumption behavior of households is studies and simulated in an agent-based modeling platform. First, households are interviewed and, using the qualitative data extracted from interviews and also the behavioral science... 

    Effect of Entrepreneurship Activities on the Well-Being of People; Considering Personal Values as a Mediator

    , M.Sc. Thesis Sharif University of Technology Yadegari, Saeedeh (Author) ; Tasavori, Misagh (Supervisor)
    Abstract
    Entrepreneurial activities have always been considered and investigated due to the economic and social effects they have on societies. In research, in addition to the effects of entrepreneurship at the country level, attention has also been paid to its outputs for entrepreneurs. Since people choose this path according to their goals, values , and personal criteria, it is important and necessary to study people and examine the effects of this activity on them. Well-being is one of the concepts that has been considered in this regard. Well-being in general means experiencing positive emotions, avoiding negative ones, and evaluating life positively. Therefore, well-being is one of the things... 

    The Influence Of E-shopping on Shopping Trips Case Study of Students of Tehran

    , M.Sc. Thesis Sharif University of Technology Mehin Behzadi, Ajang (Author) ; Kermanshah, Mohammad (Supervisor)
    Abstract
    Online searching for product information or buying some certain goods online has become increasingly popular during the last few years. Despite this fact there is still little empirical evidence about the relationship between in-store shopping and e-shopping. The substitution effect between these two types of shopping can have significant outcomes in urban transportation. Hence Analyzing different aspects of this new phenomenon and using its potential substitution effect on in-store shopping to decrease the amount of mobility in transportation system can be an attractive subject for urban transportation planners. The main purpose of this study is to reveal the relationship between the... 

    The Impact of Entrepreneurial Attitude on Entrepreneurial Alertness and Investigating the Mediating Role of Curiosity

    , M.Sc. Thesis Sharif University of Technology Moosavi Larijani, Arman (Author) ; Tasavori, Misagh (Supervisor) ; Najmi, Manoochehr (Supervisor)
    Abstract
    The importance of a quick and authentic response in today's hectic business environment shows us the necessity of being alert. By understanding the value of alertness, we seek to find factors affecting it. In this article, we try to learn about new aspects of this structure. We expect that personality attributes and the way we look at the environment are influential in this matter. The amount of "curiosity" that is institutionalized in our personality and our "attitude" towards entrepreneurship has often been examined along with other concepts like mindfulness. However, the exact relationship between them has not been specifically analyzed. For this purpose, we started this research by... 

    Acceptance of Heavy-Automated Vehicles

    , M.Sc. Thesis Sharif University of Technology Farjami, Hedayat (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Technology is changing the travel behavior of people around the world. Automated vehicles offer new solutions to some of the problems in transportation. This technology can improve traffic safety, land use development, traffic quality, and fuel consumption. Nevertheless, these solutions can be applied, only if Automated Vehicles are accepted and used by people. Due to a lack of mass production in the industry yet, automated vehicles’ adoption and market share are not yet determined and therefore certain to happen. This study surveyed 334 Iranian truck drivers in October 2019 to examine their opinions of heavy-automated vehicles (i.e. automated trucks), the factors and variables that affect... 

    Investigating and Modeling the Combined Effect of Human Factors, Traffic Factors and Route Conditions on Pedestrian Behavior in Crossing Urban Intersections

    , M.Sc. Thesis Sharif University of Technology Zaki Alamdari, Aref (Author) ; Nasiri, Habibollah (Supervisor)
    Abstract
    The results of the conducted research indicate that although there is a period of time for pedestrians to cross the street safely at signalized intersections, some pedestrians cross the street when they find a space between the passing cars even though their traffic light is red. This behavior has caused a great increase in the number of pedestrian accidents. Understanding pedestrians’ behavior can be helpful in reducing these types of accidents.In order to analysis the pedestrians behavior while crossing the street two types of data were collected; a field questionnaires and a concurrent video image recordings of the pedestrians crossing the streets.The 435 questionnaires collected... 

    Young Attitudes Toward Luxury Fashion Brands from a Social Identity Perspective:(A case study: Buying Luxury Cars in Tehran City by the Young)

    , M.Sc. Thesis Sharif University of Technology Mostafavi, Shiva Sadat (Author) ; Najmi, Manoochehr (Supervisor)
    Abstract
    The purpose of this study was to investigate the attitude of young people towards luxury brands from the point of view of social identity (Case study: Luxury cars shopping in Tehran by young people).In this regard, while reviewing the concepts of attitude and luxury brands dimensions, using the method of regression and structural equation modeling, we investigated the attitude of young people towards luxury brands.The statistical population of this research includes customers of Del's Brandy Benz and BTBMW District 1 in Tehran. Their number is estimated to be 500, and the sample size is determined using Morgan Crujsi's table to determine the sample size of 217 people. Using the Simple random... 

    Studying the Role of Distraction of Men and Women in Accidents Using Structural Equation Modeling

    , M.Sc. Thesis Sharif University of Technology Piri, Mehran (Author) ; Kermanshah, Mohammad (Supervisor)
    Abstract
    Crash severity is among the fundamental safety indicators in transportation. In recent years, distracted driving has been one of the biggest concerns in road crashes. Many scholars have evaluated the effects of distraction in crash severities and injuries. This study uses the latest general estimates system (GES) crash dataset, which is a subset of the US National Automotive Sampling System (NASS) and the structural equation model (SEM) approach to explore the relationships between distraction factors and crash severity in male and female drivers. Using SEM for modeling about 22 thousand observations offers the opportunity to simultaneously examine complex relationships between variables by... 

    Analysis of Factors Influencing Driving Accidents Severity by Driver’s Gender

    , M.Sc. Thesis Sharif University of Technology Mohammadyari Sohrabi, Siamak (Author) ; Kermanshah, Mohammad (Supervisor)
    Abstract
    Traffic accidents are one of the most important issues of traffic which impose high costs to societies. Regardless of accidents material costs, disabilities and deaths are very considerable. Iran statistics show that death rates caused by driving accidents are two times more than world statistics and each 25 minutes one dies because of driving accidents. Researchers classify factors influencing driving accidents in four categories: human factors, factors related to the environmental conditions, factors related to the vehicles and factors related to the roads. Driver behavior and characteristics are the main human factors that influence his or her behavior. The aim of this study is analyzing... 

    Investigating the Effect of Personal and Behavioral Characteristics of Intercity Bus Drivers on the Number of Accidents

    , M.Sc. Thesis Sharif University of Technology Khakshour Bazkhaneh, Negar (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    Traffic accidents are one of the most important challenges that menaced public health in the world. The research results show that the human factor is one of the most important factors in the occurrence of accidents, and the need to further investigate this factor seems necessary. Buses are the main means of intercity transportation in the country, many passengers use this method of transportation every day. according to the results, buses have the most impact on road accidents, also due to the large number of passengers, they have the most impact on the number of fatalities. The purpose of this research is to investigate the effect of individual and behavioral characteristics on the number... 

    Analyzing the Effect of Transportation Attributes on People’s Subjective Wellbeing Considering Gender Differences

    , M.Sc. Thesis Sharif University of Technology Mohammadi Mavi, Helia (Author) ; Kermanshah, Mohammad (Supervisor)
    Abstract
    Recently, public policymakers are willing to consider the psychological aspects of their decisions more than before and value subjective attributes as well as objective ones. Therefore, in this research, the effect of travel satisfaction with three different modes including driving, using public transport, and walking on life satisfaction is studied. Also, people’s attitude toward these modes is considered as a mediator variable between the casual effect of travel satisfaction on life satisfaction. For the purposes of this study, three different models are built in LISREL and AMOS software using the Structural Equation Modeling approach. In the base model, the direct and indirect effect of... 

    Investigating the Impact of Key Innovation Variables on the Level of Technological Catch up: A Comparison between High and Middle Income Countries

    , M.Sc. Thesis Sharif University of Technology Fakhimi Jamil, Mohammad Amin (Author) ; Miremadi, Iman (Supervisor)
    Abstract
    Today, innovation plays an essential role in the economic growth of countries. By evaluating technological capabilities, different approaches have considered important effects of innovation on the economic ability and superiority of countries either directly or indirectly. In recent years, the Global Innovation Index (GII) has been employed as a common framework in this respect. It consists of five components, including “institutions,” “human capital and research,” “infrastructure,” “market sophistication,” and “business sophistication,” as the inputs, and two components, including the “knowledge and technology outputs” and “creative outputs” as the outputs of innovation. The present study...