Site icon IJBMC Journals

IJBA Volume 2, Issue 3, 2022

INTERNATIONAL JOURNAL OF BEHAVIORAL ANALYTICS

A case study on foreign acquisitions of Geely Auto: From zero to hero
Lewes Lim

Abstract
Over the years, Geely has experienced failures, challenges, and successes. The company went from low- quality cars to new advance technology products such as electric cars. Geely will employ highly automated advanced manufacturing systems, including artificial intelligence and robotics with an innovative Digital Marketing Transformation concept. This case study aims to review the effectiveness of Post Geely acquisition’s plan to enhance Geely’s self- reliance and global competitiveness. This case study suggests the need for a review of the business strategy given the challenges imposed by climate change having an impact on the automotive industry. To develop the necessary long-term competitive advantage, the company needs to evaluate the potential impact of the Electric Vehicles (EVs) market and Internet of Things (IoT) with 5G Technology.

Keywords: digital marketing transformation, augmented reality (ar), virtual reality (vr), mixed reality (mr), mergers & acquisitions

Bibliography
Lim, L. (2022). A case study on foreign acquisitions of Geely Auto: From zero to hero. International Journal of Behavioral Analytics, 2(3), 1–10.

In-text citation
According to new research… (Lim, 2022).
In research from Lim (2022) …

List of references

’Click

Ahmed, Z.U. and Humphreys, J.H. (2008). A conceptual framework for developing‐ country transnationals: PROTON Malaysia. Thunderbird international business review, 50(1), pp.45-58.

Austin, D., Rosinski, N., Sauer, A. and Le Duc, C. (2003). Changing Drivers. World Resources Institute, Sustainable Asset Management (SAM).

Balcet, G., Wang, H., & Richet, X. (2012). Geely: a trajectory of catching up and asset- seeking global growth. International Journal of Automotive Technology and Management 19, 12(4), 360-375.

Calipha, R., Tarba, S. and Brock, D. (2010). Mergers and acquisitions: a review of phases, motives, and success factors. In Advances in mergers and acquisitions. Emerald Group Publishing Limited.

Chaffey, D. (2016). Global social media research summary 2016. Smart Insights: Social Media Marketing.

Chen, Y. A., Wang, X. J., & Young, M. N. (2015). Geely automotive’s acquisition of Volvo. Asian Case Research Journal, 19(01), 183-202.

Collis, D. (2014). International strategy: Context, concepts and implications. John Wiley & Sons.

Czinkota, M. R., Ronkainen, I. A., & Moffett, M. H. (2002). International business. Harcourt College Publishers.

DePamphilis, D. (2010). Mergers and acquisitions basics: negotiation and deal structuring. Academic Press.

Fang, T., & Chimenson, D. (2017). The internationalization of Chinese firms and negative media coverage: The case of Geely’s acquisition of Volvo cars. Thunderbird International Business Review, 59(4), 483-502.

Fetscherin, M., & Beuttenmuller, P. (2012). Geely’s internationalization and Volvo’s acquisition. In Chinese international investments (pp. 376-390). Palgrave Macmillan, London.

Kolk, A. and Pinkse, J. (2004). Market strategies for climate change. European management journal, 22(3), pp.304-314.

Porter, M. E. (1996). What is strategy?. Harvard business review, 74(6), 61-78.

Rothaermel, F.T. (2016). Strategic management: concepts (Vol. 2). McGraw-Hill Education.

Xia, Z., & Zhang, X. (2011). Strategic analysis of the synergistic effect on M&A of Volvo car corporation by Geely Automobile. IBusiness, 3(01), 5.

Yakob, R., Nakamura, H. R., & Ström, P. (2018). Chinese foreign acquisitions aimed for strategic asset-creation and innovation upgrading: The case of Geely and Volvo Cars. Technovation, 70, 59-72.

Yao, S., & Wang, P. (2014). OFDI and Technology-seeking Strategy: A Case Study of Geely’s Acquisition of Volvo. In China’s Outward Foreign Direct Investments and Impact on the World Economy (pp. 57-78). Palgrave Macmillan, London.

Effect of work-family conflict on employee’s psychological well-being: Role of emotional intelligence
Nurhafizah Zainal, Nor Nazeranah Omar Din, Mahalasmi Radhakrishnan

Abstract
The main objective in this study is to examine the moderating role of emotional intelligence on the relationship between work-family conflict and psychological well-being among employees in Malaysian service industry. The present study adopted Role Theory and Conservation of Resource Theory as the underpinning theories for its proposed conceptual framework. Based on the positivist paradigm, this study employed a quantitative method through questionnaires distribution. The data was obtained from the service employees sample (n = 250) in the area of Selangor and Klang Valley, Malaysia. The Structural Equation Modeling (SEM) analysis results suggested that work-family conflict contributes significantly to employee’s psychological well-being. Meanwhile, emotional intelligence plays a significant role in moderating the relationship between work-family conflict and employee’s psychological well-being.

Keywords: work-family conflict, psychological well-being, emotional intelligence, Role Theory, Conservation of Resource Theory

Bibliography
Nurhafizah, Z., Nor Nazeranah, O. D., & Radhakrishnan, M. (2022). Effect of work-family conflict on employee’s psychological well-being: Role of emotional intelligence. International Journal of Behavioral Analytics, 2(3), 1–25.

In-tect citation
According to new research… (Nurhafizah et al., 2022).
In research from Nurhafizah et al. (2022) …

List of references

’Click

Achour, M., Shahidra, A. K., Bahiyah, A., Mohd Roslan, M. N., & Mohd Yakub Zulkifli, M. Y. (2017). Management and supervisory support as a moderator of work-family demands and women’s well-being: A case study of Muslim female academicians in Malaysia. Humanomics, 33(3), 335-356.

Anna, W., Ingo, J., & Luise, P. (2020). Trait emotional intelligence and relationship satisfaction: The mediating role of dyadic coping. Journal of Psychology, 154(1), 75-93.

Awang, Z. (2012). A handbook on Structural Equation Modeling. Kota Bharu: UiTM Press.

Azadeh, R., & Pouria, K. (2019). Emotional intelligence: The key to mitigating stress and fostering trust among software developers working on information system projects. International Journal of Information Management, 48(12), 139-150.

Bahia, V. D. M, Johan, M., & Ronel, B. (2020). Intention to quit in the financial services industry: Antecedents and managerial implications. South African Journal of Economic and Management Sciences, 23(1), 1-12.

Benjamin, O. A., & Samson, B. S. (2014). The impact of demographic factors on family interference with work and work interference with family and life satisfaction. International Journal of Humanities and Social Science Invention, 3(4), 31–38.

Boomsma, A., & Hoogland, J. J. (2001). The Robustness of LISREL Modeling revisited. In R. Cudeck, S. du Toit, & D. Sorbom (Eds.). Structural equation modelling: Present and future: A Festschrift in honour of Karl Joreskog (pp. 139-168). Chicago: Scientific Software International.

Byrne, B. M. (2010). Structural Equation Modeling with AMOS: Basic concepts, applications and programming. New York: Routledge.

Carlson, D. S., Kacmar, K. M., & Williams, L. J. (2000). Construction and validation of a multidimensional measure of work-family conflict. Journal of Vocational Behaviour, 56(2), 249–276.

Cheung, F. Y., & Tang, C. S. (2012). The effect of emotional dissonance and emotional intelligence on work–family interference. Canadian Journal of Behavioural Science 44(1), 50–58. doi:10.1037/a0025798.

Cho, H. (2021). The impacts of leisure nostalgia on well-being and turnover intention: The mediating roles of leisure satisfaction and work commitment. https://doi.org/10.1080/01490400.2021.2016521

Cohen, J. (1988). Statistical power analysis for the behavioural sciences. Hillsdale, NJ: Lawrence Erlbaum Associates.

De Kock, J. H., Latham, H. A., Leslie, S. J., Grindle, M., Munoz, S., Ellis, L., Polson, R., O’Malley, C. M. (2021). A rapid review of the impact of Covid-19 on the mental health of healthcare workers: Implications for supporting psychological well-being. BMC Public Health, 21(104), 1-18.

Department of Statistics, Malaysia. (2021). Survey report statistics. Retrieved from https://www.dosm.gov.my

Duxbury, L., Higgins, C., & Lee, C. (1994). Work-family conflict: A comparison by gender, family type, and perceived control. Journal of Family Issues, 15, 449-466.

Fink, A. (1995). How to sample in surveys. California: SAGE Publications Inc.

Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 41-54.

Gao, Y., Shi, J., Niu, Q., & Wang, L. (2013). Work-family conflict and job satisfaction: Emotional intelligence as a moderator. Journal of the International Society for the Investigation of Stress, 29(3), 222–8. doi:10.1002/smi.2451.

Grandey, A. A., & Cropanzano, R. (1999). The conservation of resource model applied to work-family conflict and strain. Journal of Vocational Behaviour, 54, 350-370.

Greenhause, J. H., & Beutell, N. J. (1985). Sources of conflict between work and family roles. Academy of Management Review, 100(1), 76-88.

Guerra-Bustamante, J., Leon-del-Barco, B., Yuste-Tosina, R., Lopez-Ramos, V. M., & Mendo-Lazaro, S. (2019). Emotional intelligence and psychological well-being in adolescents. International Journal of Environmental Research and Public Health, 16(1720), 1-12.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective. New Jersey: Pearson.

Hammig, O., Gutzwiller, F., & Bauer, G. (2009). Work-life conflict and association with work and non-work-related factors and with physical and mental health outcomes: A nationally representative cross-sectional study in Switzerland. BMC Public Health, 9, 435.

Ho, R. (2006). Handbook of univariate and multivariate data analysis and interpretation with SPSS. Boca Raton, Florida: CRC Press.

Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. Psychology, 6, 307-324.

Hobfoll, S. E. (2002). Social and psychological resources and adaptation. Review of Geneal Psychology, 6, 307-324.

Hoe, S. L. (2008). Issues and procedures in adopting structural equation modeling technique. Journal of Applied Quantitative Method, 3(1), 76-83.

Holahan, C. K. & Gilbert, L. A. (1979). Inter-role conflict for working women: Careers versus jobs. Journal of Applied Psychology, 64, 86–90.

Hoyle, R. H., & Kenny, D. A. (1999). Sample Size, Reliability, and Tests of Statistical Mediation. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 195-222). Thousand Oaks, CA: Sage Publications.

Jamadin, N., Mohamad, S., Syarkawi, Z., & Noordin, F. (2015). Work-family conflict and stress: Evidence from Malaysia. Journal of Economics, Business and Management, 3(2), 309–312. doi:10.7763/JOEBM.2015.V3.200.

Joreskog, K. G. (1993). Testing Structural Equation Models. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 294-316). Newbury Park: SAGE Publications, Inc.

Joseph, D. L., & Newman, D. A. (2010). Discriminant validity of self-reported emotional intelligence: A multitrait-multisource study. Educational and Psychological Measurement, 70(4), 672-694.

Junwei, Z., Xueqin, G., Hongyang, L., Nini, X., & Guangdong, W. (2021). Linking work-family conflict and burnout from the emotional resource perspective for construction professionals. International Journal of Managing Projects in Business, 14(5), 1093-1115.

Kahn, R. L., Wolfe, D. M., Quinn, R. P., Snoek, J. D., & Rosenthal, R. A. (1964). Organizational stress: Studies in role conflict and ambiguity. Oxford, England: John Wiley.

Kappagoda, S. (2014). Emotional intelligence as a predictor of work-family conflict among school teachers in North Central Province in Sri Lanka. Journal of Organizational Behavior,13, 54-68.

Karakose, T., Yirci, R., Papadakis, S. (2021). Exploring the interrelationship between Covid-19 phobia, work-family conflict, family-work conflict, and life satisfaction among school administrators for advancing sustainable management. Sustainability, 13(8654), 1-19.

Kayaalp, A., Page, K. J., & Rospenda, K. M. (2021). Caregiver burden, work-family conflict, family-work conflict, and mental health of caregivers: A mediational longitudinal study. International Journal of Work, Health & Organisations, 35(3), 217-240.

Kazim, S. M., & Rafique, R. (2021). Predictors of marital satisfaction in individualistic and collectivist cultures: A mini review. Journal of Research in Psychology, 55-67.

Kline, R. B. (2011). Principles and practice of structural equation modelling. New York: Library of Congress.

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30, 607-610.

Krosnick, J. A., & Presser, S. (2010). Handbook of survey research. Emerald Group Publishing.

Lee, Y. H., Richards, K. A. R., & Washhburn, N. S. (2020). Emotional intelligence, job satisfaction, emotional exhaustion, and subjective well-being in high school athletic directors. Applied Psychology, 123(6), 2418-2440.

Losby, J., & Wetmore, A. (2012, April, 14). Using Likert scales in evaluation survey work. Retrieved from https://www.cdc.gov/dhdsp/pubs/docs/cb.

Mayer, J. D., & Salovey, P. (1990). Emotional intelligence. Imagination, Cognition and Personality, 9, 185-211.

Miller, B. K., Wan, M., Carlson, D., Kacmar, K. M., & Thompson, M. (2022). Antecedents and outcomes of work-family conflict: A mega-meta path analysis. 1-24. https://doi.org/10.1371/journal.pone.0263631.

Motowidlo, S. J., Borman, W. C., & Schmit, M. J. (1997). A theory of individual differences in task and contextual performance. Human Performance, 10(2), 71-83.

Netemeyer, R. G., Boles, J. S., & McMurrian, R. (1996). Development and validation of work-family conflict and family-work conflict scales. Journal of Applied Psychology, 81, 400-410.

Noor, N. M. (2010). Work-family conflict, work and family-role salience, and women’s well-being. The Journal of Social Psychology, 144(4), 389–405. doi:10.3200/SOCP.144.4.389-406.

Norizan, B. R. (2019). The effect of work-family conflict towards job satisfaction and emotional well-being: Problem-focused coping as mediator. Journal of Management, 1-17.

Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill.

Nurul Nadia, A. A., Zaidatul Nadiah, A. Y., Nor Habibah, T., Mawarti Ashik, S., & Azeman, A. M. (2018). The influence of work-family conflict and family-work conflict on well-being: The mediating role of coping strategies. International Journal of Academic Research in Business and Social Sciences, 8(4), 259-275.

Pooja, A. V. (2019). Occupational stress: Relationship with emotional intelligence and coping self-efficacy. Journal of Organization and Human Behaviour, 8(1), 33-39.

Ramesh, P. (2020). Personality, emotional intelligence and happiness: A study of scientists and non-scientists. Journal of Organizational Behavior, 19(4), 22-38.

Ren, H., & Chen, W. (2021). How personal-life inclusion affects Chinese turnover intention? A moderated mediation model of work interference with family and perceived family demands. Journal of Management and Organization, 27, 22-40.

Roshan, T., & Arulrajah, A. A. (2021). The influence of family-supportive organization perception and work-family conflict on absenteeism: The mediating role of work engagement. The IUP Journal of Organizational Behavior, 20(3), 27-50.

Ryff, C. D. (1995). Psychological well-being in adult life. Current Directions in Psychological Science, 4(4), 99-104.

Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition and Personality, 9, 185-211.

Schumacker, R. E., & Lomax, R. G. (2004). A beginner’s guide to structural equation modeling New Jersey: Psychology Press.

Scott, B., & Kregg, A. (2021). The impact of EI mentoring on emotional intelligence, gratitude, and stress: A quasi-experiment. Journal of Organizational Psychology, 27(2), 109-120.

Shang, S., O’Driscoll, M., & Roche, M. (2018). Mechanisms linking acculturation, work-family conflict, and subjective well-being among Chinese immigrants in New Zealand. Human Resource Management, 57, 1097-1109.

Sharma, J., Dhar, R. L., & Tyagi, A. (2016). Stress as a mediator between work-family conflict and psychological health among the nursing staff: Moderating role of emotional intelligence. Applied Nursing Research, 30, 268-275. doi:10.1016/j.apnr.2015.01.010.

Shazia, N., Connie, Z., & Saima, N. (2020). Job insecurity and work-family conflict: A moderated mediation model of perceived organizational justice, emotional exhaustion and work withdrawal. International Journal of Conflict Management, 31(5), 729-751.

Shi, J., & Wang, L. (2007). Validation of emotional intelligence scale in Chinese university students. Personality and Individual Differences, 43(2), 377-387.

Smothers, J. (2021). A moderated-mediation model of work-family conflict in the Covid-19 crisis. Journal of Managerial Issues, 9(4). 315-330.

Steven, J. P. (2009). Applied multivariate statistics for the social science. New York: Routledge, Taylor and Francis Group.

Tabachnick, B., & Fidell, L. (2001). Using multivariate statistics. New York: Harper Collins.

Tammy, A. D., Kimberly, F. A., Soner, D., & Kristen, S. M. (2020). A cross-national meta-analytic examination of predictors and outcomes associated with work-family conflict. Journal of Applied Psychology, 105(6), 539-576.

Thomas, G., Shalini, S., Poornima, M., Fergal, O., & Gerri, M. (2021). Type A/B personality, work-family, and family-work conflict: The moderating effects of emotional intelligence. Human Resource Development Quarterly, 1-25.

Thomas, P., Michael, P., & Frederic, N. (2021). One step beyond emotional intelligence measurement in the career development of adult learners: A bifactor exploratory structural equation modelling framework. Current Psychology, 1-17.

Tewal, B., Lengkong, V. P. K., Pandowo, M., & Nelwan, O. S. (2021). The effect of work-family conflict on job satisfaction and job performance of banking employee in North Sulawesi. American Journal of Humanities and Social Sciences Research, 5(10), 24-32.

Towers Watson, (2021). Solutions-global data services. Retrieved from http://www.towerwatson.com.

Tuffour, J. K., Bortey, F. M., & Nyanyofio, J. G. T. (2021). Work-family conflict and family satisfaction: Evidence from small enterprise managers. Journal of Applied Business and Economics, 23(8).

Usmani, S., and Das, H. (2021). Technology assisted supplemental work, work life enrichment and work-family conflict: The moderating role of time management. City University Research Journal, 11(1). 36-59.

Valenti, G. D., Faraci, P., & Magnano, P. (2021). Emotional intelligence and social support: Two key factors preventing occupational stress during Covid-19. International Journal of Environmental Research and Public Health, 18(6918), 1-15.

Wong, C. S., & Law, K. S. (2002). The effects of leader and follower emotional intelligence on performance and attitude: An exploratory study. The Leadership Quarterly, 13(3), 243-274.

Wong, C. S., Foo, M. D., Wang, C. W., & Wong, P. M. (2007). The feasibility of training and development of emotional intelligence: An exploratory study in Singapore, Hong Kong and Taiwan. Intelligence, 35(2), 141-150.

Ye, J., Yeung, D. Y., Liu, E. S. C., & Rochelle, T. L. (2019). Sequential mediating effects of provided and received social support on trait emotional intelligence and subjective happiness: A longitudinal examination in Hong Kong Chinese university students. International Journal of Psychology, 54(4), 478-486.

Yoo, J. (2021). Gender role ideology, work-family conflict, family-work conflict, and marital satisfaction among Korean dual-earner couples. https://doi.org/10.1177/0192513X211026966.

Yu, J., Song, H., Shi, H., & Wang, K. (2020). Association between work-family conflict and overall well-being among Chinese nurse leaders. https://doi.org/10.1111/jonm.13084.

Yuyang, Z., Biao, S., & Cody, D. (2021). The roles of emotional intelligence and adversity quotient in life satisfaction. Current Psychology, 1-10.

Zhang, H., Li, R., & Schutte, N. S. (2020). Friendship network mechanisms linking emotional intelligence and subjective well-being: Beyond a mediation model. Journal of Social Psychology, 160(4), 428-444.

Zheng, J., Gou, X., Li, H., Xia, N., Wu, G. (2021). Linking work-family conflict and burnout from the emotional resource perspective for construction professionals. International Journal of Managing Projects in Business, 14(5), 1093-1115.

A Case Study on Talent Shortage and Talent War of True Corporation, Thailand
Parichat Jaipong, Chok Nyen Vui, Supaprawat Siripipatthanakul

Abstract
This case study explains talent retention in convincing to remain with the True Corporation in Thailand. The secondary data were analysed using the documentary method and content analysis through systematic review. It reveals that talent retention can be influenced by performance-based training, compensation, motivation, hard work, career advancement, and the provision of benefits. The company employs talent retention strategies, policies, and practices to prolong the employment of high-performing employees in human resource management. Retaining talented employees is all about preventing their departure. Therefore, the company places a high value on compensation and benefits policies that can expect to maintain a high employee retention rate. Consequently, compensation plays a crucial role in maintaining the motivation and productivity of the company’s workforce, resulting in greater job satisfaction and organisational commitment. Because talented employees have a greater impact and contribution than others, the costs associated with their loss are significantly higher.

Keywords: talent shortage, change management, digitalisation, human resources, talent retention

Bibliography
Jaipong, P., Nyen Vui, C., & Siripipatthanakul, S. (2022). A case study on talent shortage and talent war of True Corporation, Thailand. International Journal of Behavioral Analytics, 2(3), 1–12.

In-text citation
According to new research… (Jaipong et al., 2022).
In research from Jaipong et al. (2022) …

List of references

’Click

Al Mheiri, S., Jabeen, F., & Abdallah, S. (2021). Inhibitors of Talent Retention in UAE Public Healthcare. International Journal of Business and Society, 22(1), 74-101.

Andrew, O. C., & Sofian, S. (2011). Engaging people who drive execution and organizational performance. American Journal of Economics and Business Administration, 3(3), 569.

Arora, R. (2012), A research study of factors influencing talent retention in BPO industry. Journal of Strategic Human Resource Management, 1(2), 54–62.

Associated Press. (2021). DTAC and TRUE to Merge, Pursue Tech Businesses. Retrieved from https://rb.gy/wyljyt.

Baharin, N. L., & Hanafi, W. N. W. (2018). Effects of talent management on employee retention: A case study of hospitality industry. Global Business & Management Research, 10(3).

Baulcomb, J. S. (2003), “Management of Change Through Force Field Analysis”, Journal of Nursing Management, 11(4):275-80.

Belwal, S., & Belwal, R. (2014). Work-life balance, family-friendly policies and quality of work-life issues: studying employers’ perspectives of working women in Oman. Journal of International Women’s Studies, 15(1), 96-117.

Bose, I., & Gupta, S. (2021). Change Management Theories: A Study on COMAIR, South Africa. Indian Journal of Industrial Relations, 56(3).

Brunges, M., & Foley‐Brinza, C. (2014). Projects for increasing job satisfaction and creating a healthy work environment. AORN Journal, 100(6), 670-681.

Cappelli, P. (2000). A market-driven approach to retaining talent. Harvard business review, 78(1), 103-111.

Claus, L. (2019). HR Disruption—Time Already to Reinvent Talent Management. BRQ Business Research Quarterly, 22(3), 207-215.

Dahshan, et. al., Lamiaa Ismail Keshk, L. I. & Dorgham, L. S. (2018). Talent Management and Its Effect on Organization Performance among Nurses at Shebin El-Kom Hospitals. International Journal of Nursing, No.2, 108 -123.

Darkwa, E. K., Newman, M. S., Kawkab, M., & Chowdhury, M. E. (2015). A qualitative study of factors influencing retention of doctors and nurses at rural healthcare facilities in Bangladesh. BMC health services research, 15(1), 1-12.

Davidson, M. C., & Wang, Y. (2011). Sustainable labor practices? Hotel human resource managers views on turnover and skill shortages. Journal of Human Resources in Hospitality & Tourism, 10(3), 235-253.

Deery, M., & Jago, L. (2015). Revisiting talent management, work-life balance and retention strategies. International Journal of Contemporary Hospitality Management.

Deo, D. (2014). Role of human resource practices on employee retention in institutes of higher learning in Delhi-NCR. Review of HRM, 3, 259–275.

Hassan, M., Bin Nadeem, A., & Akhter, A. (2016). Impact of workplace spirituality on job satisfaction: Mediating effect of trust. Cogent Business & Management, 3(1), 1189808.

Hausknecht, J. P., Trevor, C. O., & Howard, M. J. (2009). Unit-level voluntary turnover rates and customer service quality: implications of group cohesiveness, newcomer concentration, and size. Journal of Applied Psychology, 94(4), 1068.

Hussainy, S.S. (2019). Effective Employees’ Retention Strategies: Key to manage Employees’ turnover. A Study of Omani Organizations). International Journal of Research and Analytical Reviews, 6(2), 760-766.

Jabeen, F., & Al Dari, T. (2020). A framework for integrating knowledge management benefits in the UAE organisations. Knowledge Management Research & Practice, 1-15.

James, L., & Mathew, L. (2012). Employee retention strategies: IT industry. SCMS Journal of Indian Management, 9(3), 79–87.

Ji-Tsung, B. W. & Marakas, G.M. (2006), “The Impact of Operational User Participation on Perceived System Implementation Success: An Empirical Investigation”. Journal of Computer Information Systems, 47 (4),127-40.

Kaewnaknaew, C., Siripipatthanakul, S., Phayaprom, B., & Limna, P. (2020). Modelling of Talent Management on Construction Companies’ Performance: A Model of Business Analytics in Bangkok. International Journal of Behavioral Analytics, 2(1), No.14, 1-17.

Kar, S., & Misra, K. C. (2013). Nexus between work-life balance practices and employee retention-The mediating effect of a supportive culture. Asian social science, 9(11), 63.

Kim, H. K. (2014). ‘Work-life balance and employees’ performance: The mediating role of affective commitment, Global Business and Management Research 6(1),37–51.

Knott, E. (2016). The effect of talent management practices on employee performance among real estate companies in Kenya: A case of Suraya property group limited. United States International University-Africa.

Laddha, A., Singh, R., Gabbad, H., & Gidwani, G. D. (2012). Employee retention: An art to reduce turnover. International Journal of Management Research and Reviews, 2(3), 453.

Lewin K. (1951), Field Theory in Social Science, Harper Row, London.

Limna, P. (2022). Artificial Intelligence (AI) in the hospitality industry: A review article. International Journal of Computing Sciences Research. Advance online publication, 6 (6), 1-12. doi:10.25147/ijcsr.2017.001.1.103

Mangisa, C. A., Schultz, C. M., & van Hoek, L. (2020). An Analysis of Transformational Leadership, Talent Acquisition and Talent Retention of Engineers at an Energy Provider in South Africa. SA Journal of Human Resource Management, 18, 12.

Mazerolle, S. M., & Goodman, A. (2013). Fulfillment of work–life balance from the organizational perspective: a case study. Journal of athletic training, 48(5), 668-677.

Muthuveloo, R., & Ping, T. A. (2013). Achieving business sustainability via I-TOP model. American Journal of Economics and Business Administration, 5(1), 15.

Nicholas, S. (2021). Talent Management and Organizational Performance Correlation of Faculty at Community Colleges in Southern California. ProQuest.

Pattusamy, M., & Jacob, J. (2017). A test of Greenhaus and Allen (2011) model on work-family balance. Current Psychology, 36(2), 193-202.

Popay, J., Roberts, H., Sowden, A., Petticrew, M., Arai, L., Rodgers, M., Britten, N., Roen,K., & Duffy, S. (2006). Guidance on the Conduct of Narrative Synthesis in SystematicReviews. A Product from the ESRC Methods Programme Version, 1(1).

Shaikh, M. (2021). Determining the Relationship between Human Resource Practices, Employee Well-Being and Organizational Performance. RJ International Journal of Management Studies, 1(1), Article 1.

Staff Writer. (2020). True Corp’s HR CoE Director on the Biggest Talent Challenge Thailand is Facing. Human Resources Online. Retrieved from https://rb.gy/yuyroa.

Surbakti, H., & Ta’a, A. (2016, August 29-30). Improving employees retention rate through knowledge management and business intelligence components. Paper presented at the Knowledge Management International Conference (KMICe). Chiang Mai, Thailand.

Suresh, A. (2014). Synthesis of knowledge through responsiveness, recognition, formation, attraction and retention: An empirical approach. The IUP Journal of Knowledge Management, 12(1), 53–61.

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.

Toves, P.R., Graf, L. & Gould, D.A. (2016), “InnovativeUse of Force Field Analysis: Factors Influencing Technology-Enabled Change”, Journal of Behavioral and Applied Management, 7 (2): 85-102.

True Corporate Website. Retrieved from https://www3.truecorp.co.th/new/about_true?ln=en.

Exit mobile version