Evaluating Language Proficiency and Work Efficiency in Digital Remote Environments
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
In this study, a comparative analysis was conducted between two crowdsourcing-based remote work platforms. In the first phase, 60 marketers (30 working exclusively on each platform) were surveyed using the “RemoteWork Self-Efficacy” questionnaire. The results revealed that in three key areas: goal setting, prioritizing tasks,and sending documents via email, marketers from one platform scored higher on average than those from theother, with statistically significant differences. In the second phase, the lexical density, lexical sophistication,and type-token ratio of press releases written by marketers from both platforms were analyzed. This comparisonshowed that the press releases from one group scored higher in these lexical indicators with statisticallysignificant differences.
Abstract
In this study, a comparative analysis was conducted between two crowdsourcing-based remote work platforms. In the first phase, 60 marketers (30 working exclusively on each platform) were surveyed using the “RemoteWork Self-Efficacy” questionnaire. The results revealed that in three key areas: goal setting, prioritizing tasks,and sending documents via email, marketers from one platform scored higher on average than those from theother, with statistically significant differences. In the second phase, the lexical density, lexical sophistication,and type-token ratio of press releases written by marketers from both platforms were analyzed. This comparisonshowed that the press releases from one group scored higher in these lexical indicators with statisticallysignificant differences.
참고문헌 (24)
- A. Bandura, "Self-efficacy : toward a unifying theory of behavioral change", Psychological Review, 84(2), pp.191~215 (1977)[DOI]
- "Fiverr" (2024)[URL]
- "Freelancer" (2024)[URL]
- S. Sharma, "Investigating key areas of research in crowdsourcing software development", Proceedings of 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA), pp.1~5 (2017)
- X. Niu, "A review of crowdsourcing technology for product design and development", Proceedings of 2017 23rd International Conference on Automation and Computing (ICAC), pp.1~6 (2017)
- Y. Li, "Key research issues and related technologies in crowdsourcing data collection", Wireless Communications and Mobile Computing, 2021 (2021)[DOI]
- P. Whitla, "Crowdsourcing and its application in marketing activities", Contemporary Management Research, 5(1), pp.1~14 (2009)[DOI]
- L. B. Erickson, "Organizational uses of the crowd : developing a framework for the study of crowdsourcing", Proceedings of the 50th Annual Conference on Computers and People Research, pp.155~158 (2012)
- M. Hosseini, "The four pillars of crowdsourcing : a reference model", Proceedings of 2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS), pp.1~12 (2014)
- L. Erickson, "Hanging with the right crowd : atching crowdsourcing need to crowd characteristics", Proceedings of the 18th Americas Conference on Information Systems(AMCIS), pp.1~9 (2012)
- D. S. Staples, "A self-efficacy theory explanation for the management of remote workers in virtual organizations", Organization Science, 10(6), pp.758~776 (1999)[DOI]
- B. Kondratowicz, "Satisfaction with job and life and remote work in the COVID-19 pandemic : the role of perceived stress, self-efficacy and self-esteem", Current Issues in Personality Psychology, 10(1), pp.49~60 (2022)[DOI]
- M. Lange, "The role of self-efficacy, work-related autonomy and work-family conflict on employee's stress level during home-based remote work in Germany", International Journal of Environmental Research and Public Health, 19(9) (2022)[DOI]
- M. Schoch, "The interplay of challenge-hindrance-appraisal and self-efficacy : technostress and remote working performance", Australasian Journal of Information Systems, 27, pp.1~25 (2023)[DOI]
- C. Tramontano, "Development and validation of the e-Work Self-Efficacy Scale to assess digital competencies in remote working", Computers in Human Behavior Reports, 4 (2021)[DOI]
- R. Lathabhavan, "Antecedents and job outcomes from a self-efficacy perspective while working from home among professionals during the COVID-19 pandemic", International Journal of Manpower, 45(2), pp.217~236 (2023)[DOI]
- C. A. Grant, "An exploration of the psychological factors affecting remote e-worker's job effectiveness, well-being and work-life balance", Employee Relations, 35(5), pp.527~546 (2013)[DOI]
- P. Aggarwal, "Using lexical semantic analysis to derive online brand positions : An application to retail marketing research", Journal of Retailing, 85(2), pp.145~158 (2009)[DOI]
- "Décisions Marketing", 2004, 67~77 (2004)
- L. Bharadwaj, L, "Sentiment analysis in online product reviews: mining customer opinions for sentiment classification", International Journal for Multidisciplinary Research, 5(5), pp.1~34 (2023)[DOI]
- G. A. Christianto, "Lexical features of English advertisement taglines during prime time", UC Journal : ELT, Linguistics and Literature Journal, 1(1), pp.14~36 (2020)[DOI]
- G. E. Hynes, "Using semiotic analysis to determine effectiveness of internet marketing", Proceedings of the 2007 Association for Business Communication Annual Convention, pp.1~19 (2007)
- B. Ma, "An LDA and synonym lexicon based approach to product feature extraction from online consumer product reviews", Journal of Electronic Commerce Research, 14(4), pp.304~314 (2013)
- B. Wang, "Achieving effective remote working during the COVID-19pandemic : A work design perspective", Applied Psychology, 70(1), pp.16~59 (2021)[DOI]