Search

The evolution of electronic commerce has led to expanding online markets due to convenience, online incentives, greater access to information, broader selections, competition, pricing, product quality, and lead time, i.e., the time that it takes to deliver the products after an order is placed. However, online markets have captured less attention in environments where consumers are concerned about the security and privacy of their personal data. Such concerns can be due to several reasons, from the reluctance in using electronic commerce to the lack of trust and reliability of web vendors. In this paper, we study trust and resilience engineering in such online markets and identify the most and least significant factors impacting online shopping systems. To tackle the inherent uncertainties of data used in our analysis, we propose a Fuzzy Data Envelopment Analysis (FDEA) model and validate our findings. Numerical examples show the efficiency of the proposed method in evaluating online and offline shopping systems with respect to trust and resilience.

Financial institutions are always engaged in risk assessment. In fact, the birth of finance in Europe was through dealing with risk. Risk is a situation that we have more than a possible future with different probabilities. Assessing different futures with different level of probabilities is not that easy to formulate. Neural network is a topology developed for dealing with cases in which formulating the problem is not easy due to model flexibility which is required by the conditions of risks we are dealing with in E-finance. E-finance is providing financial services over electronic devices and cyber space. With the prominent growth of E-finance, the need for developing new models for assessing risk associated with this kind of business seems inevitable. Continuous growth of E-finance brings on new issues such as E-trust; consequently, the need for developing a model of total risk assessment is the base of our study. The presented model is a prototype, future models should be developed specifically for different kind of risk E-finance provider are dealing with.

Selling products and gaining profit is the main mission of a private Sales forces with their specialized relationships can determine the fate of transactions and make companies successful in achieving their ideal goals. Buyer-seller relationships can significantly reduce the marketing costs of the organization. Therefore, the impact of sales forces in an organization is relatively high in the past. A better understanding of the sales professional dimension will lead to the formation of long-term relationships and increase a company's profitability. However, although much research has been done on the issue of company-customer relationships, there have been extensive studies on the perception of consumer behavior by vendors. Therefore, the aim of this study was to investigate the effect of trust, reputation, and reputation of the seller on the commitment to the seller with the mediating roles of good interaction and perceived risk. The statistical population of this study was 250 customers of a retail company. In order to collect the required data, an electronic questionnaire was designed and distributed among the statistical reporters using the available sampling method. Validity of the questionnaire using content and structural methods was determined.

Traditionally, Iran was looking for development and either in era of oil revenues or before that, it has always faced serious mismatches in realization of plans. The results of studying activities in developmental organizations show that most of the activities in IRANIAN organizations are providing non-financial sources, assisting the technology development, and developing concentrated investment. In this research, we will review organization development types and factors that impact this, especially in IRANIAN organizations. Also, in this study, we evaluate the relation between civil development companies and export development companies. companies and export development companies.

Market of the heavy machinery industry is growing fast. Customers have choices in purchasing new or used equipment or they can decide to rent or leas. Today's brand concept embraces all the things that a product or service offers, including how a product shapes consumers' behavior. The brand's special value is the perception that consumers have to a brand, which is perceived by many factors. This research is based on the Keller model, which includes the main four criteria’s: brand awareness, brand association, perceived quality, and brand loyalty. The most important reason that customers would changes suppliers is the lack of providing services and products based on customer needs. Through this case study the company, TECHNOCAT, seeks to understand the correlation of the brand and customer re-purchases, whether the value of the brand affects customer decisions in future purchases. The researcher conducted a survey study. The expert panels in the field validated a questionnaire; Cronbach’s alpha coefficient is 0.82 for reliability testing. Managers of the mining businesses and owners of machines are the target population. Statistical Package for Social Science (SPSS) version 23.0 with descriptive statistics and multiple regression were utilized for data analysis, and AMOS was used for the structural equations. The finding presented results from 132 respondents. The study showed that there is a significant relationship between brand equity with an intention to buy again. Furthermore, certain factors; awareness, quality, loyalty, and association with the intention of re-buying, have significantly influence on repurchasing.

This research highlighted the most essential factors that have influenced CRM from the customers’ side. To execute this research, the researcher has reviewed literature, design a questionnaire, and distributed 430 questionnaires among the respondents in main different cities. Furthermore, the results were analyzed through SPSS and SEM Software. This research’s comprehensive CRM models try to evaluate the association of Physical Environment Quality, Products & Services, Quality of Virtual Environment, and Quality of Electronic Banking Service as an indicator of External Customer Relationship (ECR). Moreover, this study has tried to measure the influence of Trust, Satisfaction, Commitment, and Loyalty in CRM and emphasizes the fact that CRM, ECRM, and Brand management are vital concepts systems that could enhance an organization’s revenue and increase the volume of valuable customers for the banking industry.

The 5S lean tool is one of the most common lean construction techniques, which can lead to safe work environments if used effectively on project sites. The purpose of this study is to provide a checklist to maximize the outcomes of the 5S approach concerning safety requirements. A grounded theory technique was used to analyze the interview data. Eighteen electrical construction experts with the snowball of construction workers, safety representatives, supervisors, site and project managers were interviewed. Ultimately, the present study simplifies 5S implementation for first-time users and outperforms the outputs of the existing users. It is expected that the presented 5S checklist will provide practical actions for safer construction sites.

The subject titled evaluation on role of Electronic Word of Mouth (EWOM) in feelings and behavior of customers in E-shops was expressed in Digi-Kala Company. Then, research hypotheses and objectives were proposed and methodology, statistical population and needed sample of analysis technique were introduced to achieve goals and results of hypotheses. The findings suggest significant positive effect of (EWOM) on attitude of consumers and their positive emotions. Similarly, social positive and normal emotions may also have significant impact on attitude of consumers. At the same time, negative emotions of consumers have positively affected consumers’ attitudes as well. Finally social norms and attitudes of consumer may have significant positive effect on behavior of consumers.