Articles

The Effect of Recognition Language on Addictive Nature in The Use of Social Media

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 Language of recognition is the act of retrieving existing knowledge, creates the possibility of seeing something or someone from a new perspective. The leading causes of addiction: the need to socialize, get pleasure, and get a sense of security and control over the situation. This research employs a mixed-methods approach with a sequential explanatory design. To analyze the data quantitatively, the author employs a simple linear regression test on the results of the questionnaire. Activities in qualitative data analysis include reducing data, presenting data, and verifying data. Based on the research findings, it can be concluded that the desire for recognition from others has led social media users in Jakarta to become addicted to social media. This finding was further supported by an interview with Praz Teguh, a social media activist and a celebrity. He acknowledged that many social media users use social media as a platform to seek recognition.

Impact of Salary and Recognition on Job Performance: A study of Nangarhar University Lecturers, Afghanistan

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Organizations seek to gain a competitive advantage by applying different strategies in today’s competitive environment. Due to intense competitive pressure, organizations attempt to gain a competitive advantage using employee skills, abilities, and expertise. Organizations offer different kinds of incentives, like salary and recognition, to ensure proper utilization and increase employee performance. Satisfied employees become more dedicated, committed, and loyal to organizations than other employees without a proper incentive system. The purpose of this study was to determine the impact of salary and recognition on the job performance of university lecturers at Nangarhar University, Afghanistan. The questionnaire method was adopted to collect data using Likert scales ranging from 1 to 5. Data were collected from 210 respondents and analyzed using SPSS version 27. The Pearson product-moment correlation was applied to determine the impact of salary and recognition on job performance. The result of the study showed that there is a significant correlation between salary and employee performance. In addition, it was also found that there was a significant correlation between recognition and employee performance.