Leila Jarahi; Zeinolabedin Amini Sabegh; Ehsan Sadeh; Alireza Afsharnejhad
Abstract
Previous research has shown that the path to personal branding is not always smooth, and there are many failed examples that demonstrate that they did not do their personal branding correctly and did not consider all aspects of the work. This issue was investigated in this study, and the factors influencing ...
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Previous research has shown that the path to personal branding is not always smooth, and there are many failed examples that demonstrate that they did not do their personal branding correctly and did not consider all aspects of the work. This issue was investigated in this study, and the factors influencing personal branding in cyberspace were identified. To achieve the objectives, two phases of data collection were carried out: a qualitative phase and a quantitative phase. During the qualitative phase, in-depth interviews were conducted with 30 experts in the fields of personal branding and cyberspace, and 39 indicators affecting personal branding in cyberspace were extracted using the content analysis method. Then, in a quantitative phase, a researcher-created questionnaire was developed based on the qualitative phase's indicators, and 392 respondents were provided. The extracted indicators were then reduced in the form of 9 components affecting personal branding in cyberspace and introduced as factors affecting personal branding in cyberspace using exploratory factor analysis. These are the nine components: self-identification and self-values, trust building, a distinct and charismatic personality, self-description, developing knowledge, endurance, attracting opportunities, paying attention to the environment, and originality.
Moein Abdolmohamad Sagha; Morteza Hendijani Fard; Alireza Kooshki Jahromi
Abstract
This paper aims at comparing the banks’ activities in the social networks using the content analysis method. In this study, 54 profiles for 14 external and internal banks in 4 popular social networks are analyzed. The banks are chosen using the purposive sampling method. Results show that most ...
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This paper aims at comparing the banks’ activities in the social networks using the content analysis method. In this study, 54 profiles for 14 external and internal banks in 4 popular social networks are analyzed. The banks are chosen using the purposive sampling method. Results show that most banks use missions/goals on their social page to explain the bank information. They use the augmented product to present the product information. They use the company image to explain corporate identity. They use meetings and conferences to present bank events. They use music style for their videos. They use lifestyle pictures for their photos. They use information support for customer support. They use intimate/ interactive/ harmonious/ poetic style for their slogan and use their campaign albums for their albums. They also use sport and environmental issues to explain their corporate social responsibility. Moreover, they use services as the bank’s marketing messages. They use news announcements to release information. Furthermore, they use social responsibility and public consultation for socialization and finally, they use public partnerships for interactive customer engagement.
Mahdi Farmani; Mohammad Ghaffari; Mostafa Zandi Nasab
Abstract
Creating a great user experience is one of the main goals of online stores, which actually enables them to create a lasting competitive advantage. The user experience is also one of the valuable and innovative sources of information for designing recommender systems. Given the competitive world of commerce ...
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Creating a great user experience is one of the main goals of online stores, which actually enables them to create a lasting competitive advantage. The user experience is also one of the valuable and innovative sources of information for designing recommender systems. Given the competitive world of commerce and the high similarity of goods and services, and considering the important role of the user experience and actually creating a positive impression in the user's mind, this study aims to determine the backgrounds and consequences of user experience from recommender systems in Online environments are done. The methodology of the present study is synthetic. In the qualitative section, 20 experts were selected through semi-structured interviews through purposeful judgment sampling. Then based on qualitative data content analysis, the initial research model was presented. In the quantitative part of the study, the statistical population of the study included all users and customers of the Digikala store that used its services in March and April 2019. For this purpose, 384 samples were selected by available sampling method. LISREL software was used to analyze the data in a small section and the hypotheses were confirmed. The results indicate that there are five main categories of background factors including perceived impact experience, perceived ease of experience, perceived quality experience, perceived support experience, and perceived external experience. Perceived attitudes, perceived value, perceived trust, and perceived satisfaction were also presented as consequences of the user experience of the recommender system in online environments.
Farnoush Zangouei; Zahra Kharazi Mohammadvandi Azar; Jamshid Salehi Sadaghian
Abstract
The purpose of this study is to identify the components of smart tourism industry in Iran through mixed method. In the qualitative section, in the qualitative section, the statistical population consisted of tourism industry managers. 13 depth interview was conducted. Data analysis was performed ...
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The purpose of this study is to identify the components of smart tourism industry in Iran through mixed method. In the qualitative section, in the qualitative section, the statistical population consisted of tourism industry managers. 13 depth interview was conducted. Data analysis was performed in the qualitative part by conventional qualitative content analysis method using MaxqDa software. In the quantitative section, the statistical population consisted of experts from travel agencies as well as tourists from these three cities. 390 respondents were selected by using Cochran formula and random sampling method Structural equation modeling with partial least squares (PLS) approach was used for data analysis.The results of confirmatory factor analysis showed that all observable variables were significant and confirmed at the 0.05 level. The results identified four components: smart governance, socio-cultural empowerment, development of using new smart technologies and comprehensive smart tourism services.
Zohreh Dehdashti Shahrokh; Mahmoud Mohammadian Mahmoudi Tabar; Masoud Keimasi; Ali Asghar Sajedifar
Abstract
Rapid developments of the internet and the increasing growth of social media have provided new opportunities for today's businesses. Using these media, organizations can build up deep and lasting relationships with their customers. Moreover by engaging customers with their brand, they can create positive ...
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Rapid developments of the internet and the increasing growth of social media have provided new opportunities for today's businesses. Using these media, organizations can build up deep and lasting relationships with their customers. Moreover by engaging customers with their brand, they can create positive outcomes for themselves, customers and society. Accordingly, this study seeks to identify Antecedents, dimensions, and consequences of customers brand engagement in social media in the banking industry. In order to achieve the goal, In-depth interviews were conducted with customers who following one or more banks on social media, and data analysis was performed by using content analysis method. The results of the research were presented in a research model consisting of three divisions of Antecedents (individual, organizational and media), consequences (individual, organizational and social) and dimensions of customers brand engagement. Finally this study provided suggestions to use these media to engage customers.
Parvin Fakhri; Mahdi Hosseinzadeh Zadeh
Abstract
2016 USA presidential election results surprised many in America. Most experts and traditional polls had predicted that Hillary Clinton won election but results marked otherwise. In this study, with social network analysis method in content analysis approach, the election campaigns for the two main candidates ...
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2016 USA presidential election results surprised many in America. Most experts and traditional polls had predicted that Hillary Clinton won election but results marked otherwise. In this study, with social network analysis method in content analysis approach, the election campaigns for the two main candidates was investigated on the basis of tweets sent on Twitter platform during the three day period prior to November 8, 2016.It was found that in most analytical aspects such as analyzing tweets, retweets, hashtags, mentions words, user profiles and so on, Trump’s campaign advantage is evident and among users with a neutral trend Trump tendency is likely to dominate. In addition, we identify Some electoral strategies and effective political movements, for example, we understand that Clinton campaign focused on attacking Trump and vice versa Trump campaign focused on support Trump, or users, particularly neutral have shown particular attention to Wiki Leaks and disclosure of emails.
