International Journal of Human Capital in Urban Management
Volume:2 Issue: 1, Winter 2017

Many people are encountered with finding the best way to reach to their destination. One definition for wayfinding is “the act of travelling to the destination by continuous processes of making route-choices whilst evaluating previous spatial decisions against stable cognition of the environment. General understanding and keen appraisal of the environment can aid decision-making process of how to navigate around an area in the form of mental schemas. However, having a level of familiarity and attachment to a place is the underlying factor. The study is aimed at evaluating what is the level of familiarity of people and what is their attachment to notable landmarks in the town of Muar, Malaysia. To do so, the traditional survey analysis with the focus on data set that is attributed to a specific phenomenon and the quantifiable variable using statistical analysis on the tabularized format is undertaken.

As the customers are the main reason of the formation and survival of the organization, not only understanding their obvious needs, but also forecasting, determining and guiding their hidden needs, design and implementing plans of offering services for meeting these needs for attracting customers are among cornerstone of any activity in the organization. In this research, one compares the performance of e-commerce organizations, including three firms, namely Dijikala, Bamilo and Iranian regarding the implementation of Customer Relationship Management system using multiple criteria decision making approach. Along with this, hybrid fuzzy multiple criteria decision-making approach, including fuzzy network analysis has been used for examining the priority of each one of the dimensions and indexes of the proposed model and fuzzy TOPSIS technic for examining discussed options priority. The statistical population of this paper includes 12 experts, including directors and managements and assistances of three e-commerce firms. The results obtained from the study show that customer output group has the highest weight among other variables. Similarly, among evaluated indexes, the customer loyalty dimension has the highest weight in the implementation of Customer Relationship Management. The results of TOPSIS approach also show that among the studied firms, Dijikala has the best performance in implementing Customer Relationship Management.

The term "INDUSTRY 4.0" or "fourth industrial revolution" was first introduced at the fair in 2011 in Hannover. It comes from the high-tech strategy of the German Federal Government that promotes automation-computerization to complete smart automation, meaning the introduction of a method of self-automation, self-configuration, self-diagnosing and fixing the problem, knowledge and intelligent decision-making. Any automation, including smart, cannot be imagined without industrial robots. Along with the fourth industrial revolution, ‘’robotic revolution’’ is taking place in Japan. Robotic revolution refers to the development and research of robotic technology with the aim of using robots in all production processes, and the use of robots in real life, to be of service to a man in daily life. Knowing these facts, an analysis was conducted of the representation of industrial robots in the production processes on the two continents of Europe and Asia /Australia, as well as research that industry is ready for the introduction of intelligent automation with the goal of establishing future smart factories. The paper gives a representation of the automation of production processes in Europe and Asia/Australia, with predictions for the future.

This research based on record and collected data from four stations at Eymir Lake, Turkey, which are monitored daily in seven months. Water quality monitoring using former methods are time-needed and expensive, while the application of gene expression programming is more understandable, rapid, and reliable which is used in this article to provide a prediction for dissolved oxygen. The concentration of oxygen is one of the most important factors of water quality identification, which shows if water has proper ability for aquatic life, agriculture, sanitary and drink, or not. Therefore, the concentration of oxygen is one of the most important parameters, which cannot be calculated by mathematical analyses directly. Phosphor, nitrate, phosphate, dissolved nitrogen, water alkalinity, water temperature, dissolved chlorophyll, electrical conductivity, precipitation rate, wind velocity and environment temperature are parameters which used as correlated factors to better prediction of dissolved oxygen in this paper. In the best model determination coefficient and root mean square error values respectively, were found to be 0.8031 and 0.0937. Finally, the assessment of forecasted data showed that the proposed approach produces satisfactory results.

Organizational commitment is one of the most widely researched topics in the field of organizational behavior. The main objective of this study was to investigate the impact of organizational commitment on individual interactions which was conducted in Municipality of Karaj. To achieve this objective, the data was collected using the Standard questionnaires applying descriptive statistics and inferential statistical methods within the population consisted of 400 employees of Karaj municipality. The present research is a descriptive and co relational study and is of applied type. The results indicated that there is a significant relationship between the dimensions of employees’ individual interaction and organizational commitment in Karaj Municipality. Besides, correlation with other variables of individual engagement and commitment were not verified. At the end, it is suggested to Karaj Municipality that regarding human force as human capital and before recruiting and employment and maintenance, make attempt to identify internal and personality features of them to design required plans in the promotion of organization commitment and drive to more exploitation.

An appropriate solid waste disposal has been a major problem in municipal environment. The use of landfills is the most economical and environmentally acceptable method for the disposal of solid waste all over the world. The analysis of spatial data and consideration of regulation and accepted criteria are part of the important elements in the site selection. The aim of this paper is to show how application of geographic information system could be used for siting solid waste disposal in Abadan city. In this paper, we consider types of soil suitable for solid waste disposals, land use/ land cover, transportation routes and proximity to surface water. Relative importance weight of each criteria in the geographic information system was determined and finally suitability map was prepared. Based on the final suitability map, appropriate solid waste landfill site was located in north east part of the study area. Select the best landfill site among the candidate ones, and the output results can enable decision makers to make appropriate decisions to reduce the costs both in economic and environmental criteria.

Removing local communities from lands that they have been exploiting for generations without consultation or adequate compensation can result in retaliation and hostile attitudes toward the objectives of the protected areas.Therefore, this study examines the application of willingness to participate of local communities in the conservation of national parks. For the empirical observations, Iran’s Khabr National Park was studied. The required data were collected using questionnaires fulfilling and interviewing with locals and tourists of the Khabr National Park. For analyzing the data, the logit econometric model was applied. Results indicated that 80 percent of them were eager to participate and they wanted the park to be managed by private sectors. Therefore, it is recommended that the government provide a condition where the private sector act and engage people in the conservation of the park. Factors such as a history of participation in previous projects, being Indigenous, lack of management organization, and familiarity with the environment were determined as the factors which affected the participation in this project.

Increasing water demand and reducing its contaminations are the main concerns and challenges for water resource managers and planner due to its limited sources and high value. This study aims to assess and understand the factors which threaten the quality of groundwater resources and to achieve this, samples were taken from 14 active wells in District 3 of the Municipality of Tehran. After categorizing the parameters to distinct measurable groups containing anions (SO4, Cl, NO2, NO3, HCO3, CO3), cations (Mg, Na, k) heavy metals (Ag, Pb, Cd) physical parameters (temperature, color and odor) chemical parameters (Total Dissolved Solid , Electrical conductivity, Total Suspended Solids and pH, the data were analyzed using SPSS (version 16) software. The results revealed that excessive amount of nitrate anion in Paidari and Naji station is related to the slope and sandy texture of the wells and also the surrounding area’s soil. Increased cation concentration was visible in Resalat well, which indicated the use of excessive amount of fertilizers containing sodium and also the clay soil texture. Cadmium was the only heavy metal with the concentrations of more than the standard amount. Domestic sewage and surface runoff and also regional geological structure, the lack of appropriate distance between water wells with sewage wells were among other reasons, causing underground water pollution.