Background: Manual coding of open-ended survey responses is time-consuming, expensive, and error-prone. However, this task can be recast as a multi-label text classification problem, to which natural language processing and machine learning techniques can be applied. Aim: The aim of this work is to assess the suitability of various machine learning techniques to the problem of automated coding ...

The present study aims to identify the factors affecting the behavior of customers’ use of e-banking services of Tejarat Bank in Tehran. A qualitative method and an in-depth interview have been applied to achieve the research goal. The information and data collected from the interviews have been analyzed using open coding and axial coding. Then, the initial indicators of the model of using e-ba...

The purpose of this study is to identify the effective factors of optimal use of social media in the brand equity of startup companies. To this end, the researcher collected the required data using snowball sampling, protocol design, and exploratory interviews with sixteen university experts, the industry in this field, and senior managers of accelerator companies and startups. Maxqda 18 softwa...

The use of agreed-upon coding practices is believed to enhance program comprehension, which directly affects reuse and maintainability. This paper describes a controlled small-scale experiment that tries to determine how well open source Java programmers adhere to a set of well publicized coding practices. The experiment evaluated 100 arbitrarily selected open source Java classes from different...