نشریه مدیریت اطلاعات
سال ششم شماره 2 (پیاپی 11، پاییز و زمستان 1399)

The purpose of this study was to investigate the impact of commercial soft technology on online marketing among users of online marketing and commercial soft technology. The research was conducted with a positivist paradigm, applied purpose, deductive approach, and survey strategy using a questionnaire. Data analysis was performed by structural equation modeling and using AMOS software. Using a purposeful non-random sampling method, 390 questionnaires were distributed among online marketers, users of hard and soft technologies, and university professors and students familiar with the related notions. Reliability of the questionnaire was confirmed by Cronbach's alpha coefficient. The extracted Cronbach's alpha for commercial soft technology with 11 items was 0.787, market analysis with 8 items was 0.871, customer-oriented technology with 2 items was 0.798, smart business with 3 items was 0.765, and online marketing with 2 items was 0.821; all these values are greater than the standard value (0.7). Moreover, the validity was approved by the content validity method. The findings indicated a positive and significant impact of commercial soft technology on online marketing. The results indicated that 98% of online marketing changes occurred, either as direct or indirect route effects, by commercial soft technology, market analysis, customer-oriented business strategy, and smart business.

This study was conducted with the aim of designing a model for indicators data in the Iran Urban Housing Planning Database. The present research is applied in terms of purpose and in terms of the nature of the method, a combination of qualitative methods with Delphi and quantitative approach and analytical survey. First, from the meta-combination method and the study of previous researches, the indicators and categories were identified and confirmed with two periods of Delphi implementation. The quantitative part was implemented in a community of 167 housing experts and managers. The research tool was a checklist in the meta-composition section and a questionnaire in the Delphi and quantitative sections. In order to quantitatively analyze the descriptive and inferential statistics, SPSS software was used and to test the theoretical model, the structural equation modeling method with confirmatory factor analysis was used in Amos software. In this research, the factors affecting housing planning and their related categories are presented. If the factor of housing and infrastructure with 7 categories, the factor of housing economy with 10 categories, the factor of supportive housing with two categories and land were classified. Finally, the conceptual model of the research indicates that the data of the identified indicators are of great importance in housing planning. Based on the results, the effect of each variable on housing planning was confirmed; among these, the most influential variable was housing economics and the least influential was supportive housing. By creating a database or systematic systems based on the model provided for urban housing planning in Iran, while understanding the current housing situation, it is possible to use it to better policy in relation to housing planning.

The information and communication technology (ICT) industry is the driving force of the development of countries. Especially, the importance of this industry has been increased when, countries are moving towards economics and digital transformation. On the other hand, the ICT regulatory as a policy-making body in the field of ICT has a significant role in the ICT situation of that country. It would be very effective if a country's ICT regulator could adopt its policies in a way that would lead to the development of that country's ICT as well. In this article, we want to create a synergy between the ICT development and ICT regulatory policies of a country, we examined the relationship between the types of ICT development indicators of countries and their ICT regulatory improvement indicators. In this regard, by using analytical and statistical tools, 63 randomly selected countries are investigated and a meaningful correlation between sub-indices of these two domains is extracted. According to the results, the size, power and authority of a national regulatory body has no meaningful relation with the development status of the ICT industry in the country. On the contrary, the quality of regulatory services and establishment of a healthy competitive environment for cooperation and competition between actors (regulatory maturity) in a country are strongly linked to the development of its ICT industry. The results obtained in this paper are analyzed using Kolmogorov-Smirnoff and Shapiro-Wilk tests, Pearson correlation coefficient, t-student distribution test with n-2 degree of freedom, t-distribution table, covariance and linear regression. The results and conclusions can be applied to all countries with a confidence level of 95%.

This study aimed to investigate the moderating role of social capital dimensions in influencing technological dynamics on entrepreneurship development in social networking businesses. This study was a descriptive survey based on research method and correlation and type of research was applied. Experts familiar with the development of business in cyberspace, which has experience in this field and the directors and experts of the companies active in the network of businesses based on the accelerator centers in Tehran, which is about 500 people, is the statistical community of this research. Were formed. 220 people were selected by cluster sampling. In the present study, entrepreneurship development, technological dynamics and social capital, which Pedro et al. (2018) used in their research, were used after translation and localization. To measure the validity and reliability of measuring instruments, the results of the model were cited. To analyze the data, structural equation modeling with partial least squares approach was used with Smart PLS3 software. The results of the assumptions test showed that technological dynamics has a positive and significant effect on entrepreneurship development. Also, two dimensions of structural and communication capital have a positive and significant effect on entrepreneurship development. The study of the effects of the modulation of social capital dimensions showed that only the structural dimension in the impact of technological dynamics on the development of entrepreneurship in the social networking business has a moderating role

Social networking offers new tools for marketers - marketing, marketing communication techniques, and new approaches for preservation and attractionof Customers. The purpose of this study was to design and develop a model of the impact of social networks on brand equity in the smart transport industry (Case Study: Snapp). The methodology of this research is applied-exploratory and qualitative and quantitative. In the qualitative section, the necessary data were collected through the field theory analysis. Then, the model components were designed based on the electronic questionnaire and the systematic model. Finally, the final questionnaire was distributed among 384 followers of the Snapchat smart transport Instagram page. In the qualitative dimension, variables such as improvement of brand awareness, marketing, perceived quality, service benefits, customer attention, support, root defects, application defects, social responsibility, brand association, customer loyalty to the brand and recommendation to others were defined. Structural equation modeling was used to test the model in the quantitative dimension.

Scientific social networks play an important role in creating, organizing, storing, sharing, disseminating and using information and knowledge among scientific communities and accelerate and facilitate the processes of information and knowledge management and communication among them. So the purpose of this research was to identify the dimensions and components of scientific social networks and to present its conceptual framework. This applied research has used a metasynthesis approach and library methods. A total of 50 sources out of 325 sources were selected for the meta-study and 170 codes, 25 concepts and 8 categories extracted. To analyze the data, seven step-by-step methods of Sandloski and Baruso have been used. The findings showed that the components of scientific social networks, including: Management (science development, information management and knowledge management); Technology (information systems, scientific social websites, social networks); Culture (scientific behavior, scientific view, environmental and social factors); Communications (communication types and tools); Learning (education, content and cooperation); personal characteristics (expert, skill, interest and motivation); Scientific Performance (product, evaluation, assessment and scientific levels) and Law Issues (copy right and security) affect each other and scientific social networks. The proposed conceptual framework can be used for design, evaluation of success, assessment of status, prediction and pathology of scientific social networks in the scientific societies and centers.

It has been years since social media plays critical role in marketing communication and Instagram is the most favorite social media platform for both marketer and consumers in Iran but there is a little evidence of its effect on consumer decision making process ranging from need recognition to buying. Information seeking behavior is the most important stage through which social media users gather required information aiming to select the best decision alternative. Price promotion claims are used by consumers to identify the best-selling proposition which is offered by marketers. Its effect on reference price and purchase intention got enormous attention in marketing literature but there is a little evidence about price promotion claims and its effect on Instagram engagement rate. The research aims to examine the relationship between price promotion claims (uncertain versus certain) and Instagram engagement rate (like and comment divided to followers) through random selection of 343 Instagram post (with price promotion claims). The result shows that uncertain price promotion claims results in more engagement rate which is rooted in consumers’ curiosity because of information gap in uncertain price promotion claims.

The upward trend of data production and the available methods for analyzing big data provide different areas such as that of policymaking with modern tools. Yet, the understanding of the policymaking world -especially in developing countries- of this phenomenon is at a basic level, and the bulk of policy-making related research conducted in Iran is based on qualitative and expertise approaches. The present study aims at using an approach based on the big data of economic complexity in industrial policymaking domain and presenting its results. This article investigates policy-making in Iran’s parts and equipment manufacturing industry development by conducting a case study on the world trade data of exported goods related to the parts and equipment manufacturing industry in the world and analyzing this data using economic complexity approach. To this end, using data from the six-digit version of the Harmonized coding system, 669 commodity codes in the industry of parts and equipment manufacturing were examined. Following this, the viable production opportunities for parts and equipment manufacturing industry were identified. Therefore, the products which, if produced and exported, can make the parts and equipment manufacturing industry more sophisticated and can boost technological potentialities and increase export revenue were introduced. Accordingly, the production of some of the motors, Turbines Electromotors, Tube, pipe and rail equipment account for Iran’s production opportunities.

Financial reporting quality is an effective factor in reducing information asymmetry that can affect different dimensions of a company. Although much research has been done in the financial and accounting literature, few studies have been conducted on the impact of accounting information quality and risk management on the quality of reporting using the structured analysis approach. In this research, six companies have been investigated in order to evaluate the quality of financial reporting in Iranian companies. For this purpose, 138 companies were selected from the companies listed in the Tehran Stock Exchange as their sample and their financial information during the years 2012-2019 has been studied. Structural equation analysis evidence suggests that the quality of accounting information has a positive and significant effect on financial reporting quality, but risk management cannot play a role in moderating this relationship.

This study has been provided with the purpose of identifying and ranking the stakeholders in ITSM processes in the banking sector. This research method is exploratory and in terms of data collection, it was descriptive. The statistical population of the present study includes IT experts who dominate the IT service management processes in the Bank industry. Stakeholder identification was continued with interview until saturation; also, a sample of snowball method has been used, based on the opinions of 20 experts. Then, a questionnaire including the output of the first stage was developed to rank the identified stakeholders using the AHP method and the Expert Choice tool. 13 out of 112 stakeholders were determined and confirmed including Customer, Provider, Manager, Legislator, Business Development, Research and Planning, Branch, Project Manager, Security, Architecture, Official and Financial, Operations and Product Owner. The extracted stakeholder ranking criteria (power, stake and impact) were presented to experts for approval, due to the special requirements in the ITSM and the importance of response time, the "urgency" factor was added to the list of criteria. Based on the stakeholder ranking criteria, Legislator, Manager, Operations and Security are the first 4 categories of this ranking and Customer Related Department, Business Development, Research and Planning are also placed as the final categories. The bank, as a customer-centric services provider, has not focused on the customer. Iran's banking sector is based on regulation and the main concerns are Security and operations. Stakeholders in business development and research and planning are not empowered, and high stake are not expected for them.

Quality accounting information is one of the most important sources of information for investors which can have a significant impact on the optimal decisions of investors. The quality of accounting information usually indicates that the information is produced in accordance with the generally accepted principles of international standards in accounting or auditing. The consequences of poor quality accounting information include reduced quality of the company's information environment, incomplete information and reduced liquidity. Therefore, the quality of accounting information has been one of the most important issues in accounting and its constant concern. Researchers have used different features and various variables to evaluate the quality of accounting information in their studies. Therefore, the main purpose of this study is to provide accounting quality information models and compare them with each other to use the results to identify and present different and consistent criteria for information quality management. For this purpose, the financial information of 1104 years - company in the last decade has been used. The results of the research, which was obtained by using the Benfourne method of comparing the means by means of the test method, showed that the ranking of accounting information with different criteria has different results. As a result, stock managers must use several methods simultaneously to disclose the quality of companies' information so that investors can make better investment decisions.

The role of email in communication is seriously threatened by a phenomenon called spam. So far, many methods have been proposed to deal with this phenomenon, one of the most important of which is to classify emails based on their content into two categories: spam and non-spam. Content-based classification mechanisms use the words as features, where applying an efficient feature selection mechanism is critical due to the large number of features. Therefore, the main focus of this paper is to select useful features via proposing a wrapper feature selection approach based on a powerful genetic algorithm. We then apply a Bayesian classifier, which has demonstrated a high efficiency in text classification. The main steps of the proposed method is as follows: first, an initial feature vector is chosen, then it is optimized by multiplying the vector in a matrix called the transformation matrix made by the genetic algorithm, and finally, a set of k feature vectors is generated. An ensemble classification approach composed of k Bayesian classifiers is applied to the feature vectors, and the ultimate class label is determined by voting among ensemble members. The proposed method is implemented on two datasets PU1 and PU2. The results show that the classification accuracy of the proposed method with k=7 reaches 87.86 and 87.91 in PU1 and PU2, rspectively. The results also indicate the efficiency of the proposed method compared to naïve Bayes and two well-known classifiers SVM and KNN.