Information Quality

The purpose of this research was to rank Information Technology (IT) dimensions using sustainable development criteria. The present research belongs to the category of applied research in terms of objective and descriptive survey in terms of data collection. To this end, the six dimensions of IT have been ranked according to three areas of sustainable development. Ratings were done using Gray Relational Analysis (GRA) through the GRAY RELATION software. It is worth noting that the statistical population included all managers of executive organizations in the northwest provinces of Iran. The result of using the GRA methodology to rank the IT components through sustainable development dimensions has ranked the six dimensions in terms of scores obtained as follows service quality, information quality, system satisfaction, perceived benefits, system quality, and IT usage.

Over the past few years, many organizations have come to believe that the brand of their products and services is one of their most valuable assets. Therefore, it must be said that the brand is an asset that has a significant part of the value of the property of institutions and organizations. In this research, the building brand equity (BBE) from the customer's perspective and brand market performance (BMP) have been investigated and identified, selected, eventually reached the operational stage, and then evaluated how the impacts and their relationship with each other resulted in the presentation of a model that the model has been tested in the cosmetics industry in Tehran. The statistical population of this study was all customers of cosmetic products in Tehran city in 2018 who were selected by random cluster sampling method. A sample of 550 customers from ten brands, which has about 80% of the market share, was selected. In this research, the obtained data were collected through a questionnaire as well as secondary information and then tested using structural equation modeling and focal correlation analysis. Finally, all proposed structures of the research were confirmed after analyzing the factor. According to the path analysis conducted at the customer level, only two hypotheses were not approved. At the brand level, all four hypotheses were confirmed by the focal correlation analysis. Based on the findings of the research, the proposed model was confirmed by the researcher and practical and research suggestions were submitted for managers and researchers.

This study aims at investigating the factors that affect a user’s satisfaction of accounting information systems based on the quality and the perceived usefulness of such systems, and the quality of data involved. The paper analyses the given factors on data collected from Bank Sumut,  Indonesia. In addition, this research also aims to find out whether the influence of perceived ease of use can be utilized as a moderating variable or not. the research is quantitative in terms of methodology and the sample pool consists of 112 people. The data used is primary data, which has been collected through the distribution of a questionnaire. Data has been analyzed through the Multiple Linear Regression and moderator test has been done using the Eviews 9 and SPSS software. The results contained in this study show that the variables can influence the accounting information system (AIS) user satisfaction significantly and that the information system quality plays an important role in the process. In addition, the quality of information systems, the information quality and perceived usefulness simultaneously affect the AIS of user satisfaction.

Despite the vital role of information in relational-oriented firms, there are limited studies on the impact of information quality on relationship marketing. To address this gap, this study develops a conceptual model to examine the impact of information quality on the successful implementation of relationship marketing by assessing the mediating role of salespeople's relational competency. The proposed model is tested using structural equation modeling (SEM) technique with data collected from 140 employee-customer pair sample of Shatel Group (Tehran, Iran). Stratified sampling is our applied research methodology, we also employed questionnaire for data collection. The results indicate that while there is no meaningful relationship between information quality and salespeople's relational competency, there is a significant relationship between salespeople's relational competency and relationship marketing. Accordingly, it could be concluded that salespeople's relational competency cannot act as a mediating variable and thus information quality cannot affect relationship marketing indirectly.

Despite the increasing importance of data and information quality, current research related to Big Data quality is still limited. It is particularly unknown how to apply previous data quality models to Big Data. In this paper we review Big Data quality research from several perspectives and apply a known quality model with its elements of conformance to specification and design in the context of Big Data. Furthermore, we extend this model and demonstrate it utility by analyzing the impact of three Big Data characteristics such as volume, velocity and variety in the context of smart cities. This paper intends to build a foundation for further empirical research to understand Big Data quality and its implications in the design and execution of smart service ecosystems.

Profit is one of the financial statement items that significantly impact user decision-making and has received a lot of attention. Evaluating goal achievement is one of the essential aspects of any economic activity. With the increasing progress of economic activities and the need for more accurate evaluation methods to reality and complete older methods, this issue undoubtedly enters a new field. Economic value added is a performance measure that accurately calculates how a company's value increases or decreases, considering the opportunity cost of shareholders and the time value of money. This research aims to identify the most influential factors for explaining economic and accounting profit using an artificial intelligence approach. There is no such internal research given the subject. The financial data of 127 companies from 2011 to 2019 was used to test the hypotheses. The findings indicate that the variables "profit quality," "profit stability," "profit predictability," "profit smoothing," "profit transparency," "close proximity to cash," "awareness," "conservatism," and "timeliness" have a significant relationship with economic and accounting profit. However, there is no meaningful relationship between economic profit and accounting profit and the variable "Profit relevance."