# Information Consumer Experience: A Systematic Review
## 5 Answering Research Questions
### What Methods Are Used for ICX Evaluation?
In [134], the grounded theory approach was used to study the use of Intelligent Employee Assistants (IEA) in the workplace, collecting data through a custom interview with working professionals and applying grounded theory techniques (data coding) to generate a theoretical model for describing the task for that employees uses IEAs and how these technologies affect their job outcomes. A method called Information Processing Support Index (IPSI) was proposed in [136], which aimed to measure the facilities of workers who use mobile devices for job-required information processing activities, such as content generation and content consumption activities. They used the Q-Sort test to collect data from users performing information processing activities as input for IPSI score calculation. From the Outsourcing data collection method, in [9], an Intra-Company Crowdsourcing (ICC) method was proposed. This method was designed to collect data using a Chatbot to ask employees randomly selected questions from a customized questionnaire during their work activities on different devices. The authors define ICC as \"an IT-enabled group activity based on an open call for participation in an enterprise\" and they validate this method in a case study, with promising acceptance from employees. Most of the methods found in this systematic revision to address ICX-related approaches are based on custom questionnaire implementation [42; 47; 48; 49; 50; 55; 57; 63; 87] designed to collect data about employees or information consumer perceptions about specific measurement constructs or to identify factors that could affect this perception. Most of these questionnaires were based on others questionnaires adaptations, such as the ACRL Questionnaire [27], Quality of Work Life Scale Questionnaire [60], WEIS-SR Questionnaire [118], Job Satisfaction Survey [59; 60], and Intra-Company Crowdsourcing Questionnaire [9]. Then, after data collection, a set of statistical techniques, such as multiple and hierarchical regression or PLS, SEM, and LGM modeling, have been used to validate the authors' approach and obtain perception metrics and correlations [48; 49; 50; 75; 137; 138]. These kinds of approaches have been widely used, in our opinion, because they offer the required flexibility for adapting a methodology to a specific organization, department, and consumer sample, which is a big advantage over other methods, such as Social Network Analysis [68; 71] and theoretical modeling [71]. On the other hand, as a large number of different custom methods, constructs, and factors have been used, the security of the use of the right methods has to be validated with complementary methods. In this sense, the alternatives used were semi-structured and open interviews [1; 14; 33; 37; 46; 90; 95; 112; 126], which offer a complementary approach to give explanations to describe a phenomenon [14] and, in our opinion, to explain the causes of quantitative results too. A classification resume of the methods found in this systematic review is presented in Table 6. Showing the method's classifications, names, and associated studies.