Why Employees Leave Russian Companies? Analyzing Online Job Reviews Using Text Mining

Dmitri N. Sokolov; Louisa V. Selivanovskikh; Elenа K. Zavyalova; Marina O. Latukha

doi:10.21638/spbu18.2018.402

Авторы

Dmitri N. Sokolov Graduate School of Management St. Petersburg State University, Russia
Louisa V. Selivanovskikh Graduate School of Management, St. Petersburg State University, Russia
Elenа K. Zavyalova Graduate School of Management, St. Petersburg University, Russia https://orcid.org/0000-0002-6098-8335
Marina O. Latukha Graduate School of Management, St. Petersburg University, Russia https://orcid.org/0000-0001-6927-4593

DOI:

https://doi.org/10.21638/spbu18.2018.402

Аннотация

In this study we analyze topics and sentiments of online job reviews for 989 organizations operating across 12 different knowledge-intensive industries in Russia. Using text mining techniques, such as topic modeling and sentiment analysis, we identify factors of job satisfaction and examine how they differ for former and current employees of Russian organization. The analysis reveals that (1) working arrangements and schedule, (2) working conditions, (3) job content, (4) salary/wage, (5) career development, (6) psychological climate and interpersonal relations with co-workers are the six key topics discussed by employees online in relation to job satisfaction, with the latter — psychological climate and interpersonal relations — being the most widely discussed topic, especially for current employees. Overall, our study suggests that in their decision to leave the company, employees are more likely to tolerate economic factors of job satisfaction (such as salary, career development and working arrangements) rather than socioemotional factors (such as poor relationships with their co-workers and content of work).

Ключевые слова:

employee turnover, job satisfaction, text mining, topic modeling, sentiment analysis, Russia

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REFERENCES

Al Ariss A., Sidani Y. 2016. Comparative international human resource management: Future research directions. Human Resource Management Review 26 (4): 352–358.

Balabanova E., Efendiev A., Ehrnrooth M., Koveshnikov A. 2016. Job satisfaction, blat and intentions to leave among blue-collar employees in contemporary Russia. Baltic Journal of Management 11 (1): 21–43.

Carraher S. M. 2011. Turnover prediction using attitudes towards benefits, pay, and pay satisfaction among employees and entrepreneurs in Estonia, Latvia, and Lithuania. Baltic Journal of Management 6 (1): 25–52.

Chen Z. X., Francesco A. M. 2000. Employee demography, organizational commitment, and turnover intentions in China: Do cultural differences matter? Human Relations 53 (6): 869–887.

Cotton J. L., Tuttle J. M. 1986. Employee turnover: A meta-analysis and review with implications for research. Academy of Management Review 11 (1): 55–70.

Direnzo M. S., Greenhaus J. H. 2011. Job search and voluntary turnover in a boundaryless world: A control theory perspective. Academy of Management Review 36 (3): 567–589.

Dusek G. A., Clarke R., Yurova Y., Ruppel C. P. 2016. Employee turnover in international brand hotels in Russia: A comparison of nationals and foreign nationals. Journal of East-West Business 22 (1): 51–75.

Feldman R. 2013. Techniques and applications for sentiment analysis. Communications of the ACM 56 (4): 82–89.

Gimpleson V. Ye., Kapeliushnikov R. I. 2015. The Russian labour market model: Trial by recession. Journal of the New Economic Association 2: 249–254. (In Russian)

Griffeth R. W., Hom P. W., Gaertner S. 2000. A meta-analysis of antecedents and correlates of employee turnover: Update, moderator tests, and research implications for the next millennium. Journal of Management 26 (3): 463–488.

Grün B., Hornik K. 2011. Topicmodels: An R package for fitting topic models. Journal of Statistical Software 40 (13): 1–30.

Guest D., Clinton M. 2005. Contracting in the UK. Current research evidence on the impact of flexible employment on and the nature of the psychological contract. In: N. DeCuyper, K. Isaksson, H. De Witte (eds). Employment Contracts and Well-Being among European Workers. Ashgate: Aldershot; 201–224.

Hancock J. I., Allen D. G., Bosco F. A., McDaniel K. R., Pierce C. A. 2013. Meta-analytic review of employee turnover as a predictor of firm performance. Journal of Management 39 (3): 573–603.

Hausknecht J. P., Rodda J., Howard M. J. 2009. Targeted employee retention: Performance based and job-related differences in reported reasons for staying. Human Resource Management 48 (2): 269–288.

Herzberg F. 1966. Work and the Nature of Man. Corwell Co: N.Y.

Holtom B. C., Mitchell T. R., Lee T. W., Eberly M. B. 2008. Turnover and retention research: A glance at the past, a closer review of the present, and a venture into the future. Academy of Management Annals 2 (1): 231–274.

Hom P. W., Griffeth R. W. 1995. Employee Turnover. South-Western College: Cincinnati, OH.

Hom P. W., Kinicki A. J. 2001. Toward a greater understanding of how dissatisfaction drives employee turnover. Academy of Management Journal 44 (5): 975–987.

Hom P. W., Lee T. W., Shaw J. D., Hausknecht J. P. 2017. One hundred years of employee turnover theory and research. Journal of Applied Psychology 102 (3): 530–545.

Hong L., Davison B. D. 2010. Empirical study of topic modeling in Twitter. In: P. Melville, J. Leskovec, F. Provost (eds). Proceedings of the First Workshop on Social Media Analytics. Association for Computing Machinery: N.Y.; 80–88.

Jaramillo F., Mulki J. P., Boles J. S. 2013. Bringing meaning to the sales job: The effect of ethical climate and customer demandingness. Journal of Business Research 66 (11): 2301–2307.

Katsikea E., Theodosiou M., Morgan R. E. 2015. Why people quit: Explaining employee turnover intentions among export sales managers. International Business Review 24 (3): 367–379.

Latukha M. 2015. Talent management in Russian companies: Domestic challenges and international experience. The International Journal of Human Resource Management 26 (8): 1051–1075.

Lazer D., Kennedy K., King G., Vespignani A. 2014. The parable of Google flu: Traps in big data analysis. Science 343: 1203–1205.

Lee T. W., Mitchell T. R., Sablynski C. J., Burton J. P., Holtom B. C. 2004. The effects of job embeddedness on organizational citizenship, job performance, volitional absences, and voluntary turnover. Academy of Management Journal 47 (5): 711–722.

Levada-Center. 2016. Russian Public Opinion 2013–2015. [Electronic resource]. http://www.levada.ru/cp/wp-content/uploads/2016/01/2013-2015-Eng1.pdf (accessed: 10.05.2018).

Levada-Center. 2017. Labor Orientations. [Electronic resource]. https://www.levada.ru/en/2017/02/28/labor-orientations/ (accessed: 10.05.2018).

Li J. J., Lee T. W., Mitchell T. R., Hom P. W., Griffeth R. W. 2016. The effects of proximal withdrawal states on job attitudes, job searching, intent to leave, and employee turnover. Journal of Applied Psychology 101 (10): 1436–1456.

Lin M., Lucas Jr. H. C., Shmueli G. 2013. Research commentary—too big to fail: Large samples and the p-value problem. Information Systems Research 24 (4): 906–917.

Liu B. 2012. Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies 5 (1): 1–167.

Ljepava N. R., Orr R. R., Locke S., Ross C. 2013. Personality and social characteristics of Facebook non-users and frequent users. Computers in Human Behavior 29 (4): 1602–1607.

March J. G., Simon H. A. 1958. Organizations. Wiley: N.Y.

Meier K. J., Hicklin A. 2007. Employee turnover and organizational performance: Testing a hypothesis from classical public administration. Journal of Public Administration Research and Theory 18 (4): 573–590.

Mobley W. H. 1977. Intermediate linkages in the relationship between job satisfaction and employee turnover. Journal of Applied Psychology 62 (2): 237–240.

Morrow P., McElroy J. 2007. Efficiency as a mediator in turnover—organizational performance relations. Human Relations 60 (6): 827–849.

MyStem. 2018. [Electronic resource]. https://tech.yandex.ru/mystem (accessed: 10.05.2018).

Pang B., Lee L. 2008. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval 2 (1–2): 1–135.

Platanou K., Mäkelä K., Beletskiy A., Colicev A. 2018. Using online data and network-based text analysis in HRM research. Journal of Organizational Effectiveness: People and Performance 5 (1): 81–97.

Podsakoff P. M., MacKenzie S. B., Lee J. Y., Podsakoff N. P. 2003. Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology 88 (5): 879–903.

Porter L. W., Steers R. M. 1973. Organizational, work, and personal factors in employee turnover and absenteeism. Psychological Bulletin 80 (2): 151–176.

Sachau D. A. 2007. Resurrecting the motivation-hygiene theory: Herzberg and the positive psychology movement. Human Resource Development Review 6 (4): 377–393.

Sager J. K., Varadarajan P. R., Futrell C. M. 1988. Understanding salesperson turnover: A partial evaluation of Mobley's turnover process model. Journal of Personal Selling & Sales Management 8 (1): 21–36.

Seopa N., Wöcke A., Leeds C. 2015. The impact on the psychological contract of differentiating employees into talent pools. Career Development International 20 (7): 717–732.

Shaw J. D. 2011. Turnover rates and organizational performance: Review, critique, and research agenda. Organizational Psychology Review 1 (3): 187–213.

Shaw J. D., Duffy M. K., Johnson J. L., Lockhart D. E. 2005. Turnover, social capital losses, and performance. Academy of Management Journal 48 (4): 594–606.

Steel R. P., Lounsbury J. W. 2009. Turnover process models: Review and synthesis of a conceptual literature. Human Resource Management Review 19 (4): 271–282.

Ton Z., Huckman R. S. 2008. Managing the impact of employee turnover on performance: The role of process conformance. Organization Science 19 (1): 56–68.

Vaiman V., Holden N. 2011. Talent management’s perplexing landscape in Central and Eastern Europe. In: H. Scullion, D. G. Collings (eds). Global Talent Management. Routledge: London; 178–193.

Vorontsov K., Frei O., Apishev M., Romov P., Dudarenko M. 2015. BigARTM: Open source library for regularized multimodal topic modeling of large collections. Communications in Computer and Information Science 542: 370–381.

Walker C. 2015. “I don’t really like tedious, monotonous work”: Working-class young women, service sector employment and social mobility in contemporary Russia. Sociology 49 (1): 106–122.

Woo S. E., Maertz C. P. Jr. 2012. Assessment of voluntary turnover in organizations: Answering the questions of why, who, and how much. In: N. Schmitt (ed.). The Oxford Handbook of Personnel Assessment and Selection. Oxford University Press: N.Y.; 570–594.

Wright T. A., Cropanzano R. 1998. Emotional exhaustion as a predictor of job performance and voluntary turnover. Journal of Applied Psychology 83 (3): 486–493.

Zimmerman R. D., Swider B. W., Boswell W. R. 2018 Synthesizing content models of employee turnover. Human Resource Management.