REDUCED INEQUALITIES (SDG10) THROUGH EMPLOYEES’ ENGAGEMENT AND CORPORATE CULTURE

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Chow Poh Ling
Rachel Ham Rui Qian
Yeo Chu-May Amy

Abstract

As part of the 2030 Agenda for Sustainable Development, reduced inequalities (SDG Goal 10) are essential for attaining sustainable development through an all-encompassing and integrated approach, with cooperative effects from organisations and academic institutions. This study intends to examine the influencing factors on firm engagement with reduced inequalities, which is Goal 10 from the SDGs. Thus, employee engagement, corporate culture and adoption of artificial intelligence, are adopted as the variables that would affect firm engagement with reduced inequalities.

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References

Accor Hotel. (2020). Events and announcement: yearly information. Accor. https://group.accor.com/en/finance/events-and-announcements/annual-andhalf-yearly-information

Ahmed, A., Khuwaja, F. M., Brohi, N. A., Othman, I., & Bin, L. (2018). Organizational factors and organizational performance: A resource-based view and social exchange theory viewpoint. International Journal of Academic Research in Business and Social Sciences, 8(3), 579-599.

Aibar-Guzmán, B., & Aibar-Guzmán, C. (2023). Editorial for the Special Issue “Business Strategies Concerning the Sustainable Development Goals and the SDG Compass”. Sustainability, 15(3), 2506.

Aldhuwaihi, A. (2013). The influence of organisational culture on job satisfaction, organisational commitment and turnover intention: a study on the banking sector in the Kingdom of Saudi Arabia (Doctoral dissertation, Victoria University).

Alsheiabni, S., Cheung, Y., & Messom, C. (2019). Factors inhibiting the adoption of artificial intelligence at organizational-level: A preliminary investigation. In Americas Conference on Information Systems 2019 (p. 2). Association for Information Systems.

Alsheibani, S., Cheung, Y., & Messom, C. H. (2018). Artificial Intelligence Adoption: AI-readiness at Firm-Level. PACIS, 4(2018), 231-245.

Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., ... & Herrera, F. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information fusion, 58, 82-115.

Barro, S., & Davenport, T. H. (2019). People and machines: Partners in innovation. MIT Sloan Management Review, 60(4), 22-28.

Bawack, R., & Desveaud, K. (2022). Consumer Adoption of Artificial Intelligence: A Review of Theories and Antecedents.

Blau, P. M. (1994). Structural contexts of opportunities. University of Chicago Press.

Blischke, W. R., Karim, M. R., & Murthy, D. P. (2011). Warranty data collection and analysis. London: Springer.

Bombiak, E. (2019). Green human resource management-the latest trend or strategic necessity?

Braganza, A., Chen, W., Canhoto, A., & Sap, S. (2021). Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust. Journal of business research, 131, 485-494.

Brown, A. (1995). Organisational Culture, Pitman Publishing, London.

Bughin, J., Hazan, E., Sree Ramaswamy, P., DC, W., & Chu, M. (2017). Artificial intelligence the next digital frontier.

Buniamin, S., Jaffar, R., Ahmad, N., & Johari, N. H. (2020). Exploring the involvement of Malaysian companies in sustainable development goals (SDGs). Global Business and Management Research, 12(4), 201-213.

Chams, N., & García-Blandón, J. (2019). On the importance of sustainable human resource management for the adoption of sustainable development goals. Resources, Conservation and Recycling, 141, 109-122.

Chandani, A., Mehta, M., Mall, A., & Khokhar, V. (2016). Employee engagement: A review paper on factors affecting employee engagement. Indian Journal of Science and Technology, 9(15), 1-7.

Chen, X., Chang-Richards, A. Y., Pelosi, A., Jia, Y., Shen, X., Siddiqui, M. K., & Yang, N. (2022). Implementation of technologies in the construction industry: a systematic review. Engineering, Construction and Architectural Management, 29(8), 3181-3209.

Chui, M. (2017). Artificial intelligence the next digital frontier. McKinsey and Company Global Institute, 47(3.6).

Dabbous, A., Aoun Barakat, K., & Merhej Sayegh, M. (2022). Enabling organizational use of artificial intelligence: an employee perspective. Journal of Asia Business Studies, 16(2), 245-266.

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business review, 96(1), 108-116.

Dhamija, P., & Bag, S. (2020). Role of artificial intelligence in operations environment: a review and bibliometric analysis. The TQM Journal, 32(4), 869-896.

Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283-314.

DuBois, C. L., & Dubois, D. A. (2012). Strategic HRM as social design for environmental sustainability in organization. Human resource management, 51(6), 799-826.

Fleming, A., Wise, R. M., Hansen, H., & Sams, L. (2017). The sustainable development goals: A case study. Marine Policy, 86, 94-103.

Goralski, M. A., & Tan, T. K. (2020). Artificial intelligence and sustainable development. The International Journal of Management Education, 18(1), 100330.

Guggemos, J., Seufert, S., & Sonderegger, S. (2020). Humanoid robots in higher education: Evaluating the acceptance of Pepper in the context of an academic writing course using the UTAUT. British Journal of Educational Technology, 51(5), 1864-1883.

Hidayati, N., & Etikariena, A. (2018). Gaining engaged people to succeed Sustainable Development Goals (SDGs). In E3S Web of Conferences (Vol. 74, p. 08017). EDP Sciences.

Hofstede, G. (1984). Culture's consequences: International differences in work-related values (Vol. 5). Sage Journal.

Homans, G. C. (1958). Social behavior as exchange. American journal of sociology, 63(6), 597-606.

Hughes, C., Robert, L., Frady, K., & Arroyos, A. (2019). Artificial intelligence, employee engagement, fairness, and job outcomes. In Managing Technology and Middle-and Low-skilled Employees: Advances for Economic Regeneration (pp. 61-68). Emerald Publishing Limited.

Isensee, C., Griese, K. M., & Teuteberg, F. (2021, December). Sustainable artificial intelligence: A corporate culture perspective. In Sustainability Management Forum| NachhaltigkeitsManagementForum (Vol. 29, No. 3-4, pp. 217-230). Berlin/Heidelberg: Springer Berlin Heidelberg.

Isensee, C., Teuteberg, F., Griese, K. M., & Topi, C. (2020). The relationship between organizational culture, sustainability, and digitalization in SMEs: A systematic review. Journal of Cleaner Production, 275, 122944.

Ivancevich, J. M., McMahon, J. T., Streidl, J. W., & Szilagyi Jr, A. D. (1978). Goal setting: the Tenneco approach to personnel development and management effectiveness. Organizational Dynamics, 6(3), 58-80.

Junça Silva, A., & Coelho, N. (2023). The moderating role of organizational culture on the relationship between workers' attitudes towards telework and happiness. Kybernetes, 52(10), 4357-4374.

Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of management journal, 33(4), 692-724.

Knight, D., Durham, C. C., & Locke, E. A. (2001). The relationship of team goals, incentives, and efficacy to strategic risk, tactical implementation, and performance. Academy of management journal, 44(2), 326-338.

Lehoux, P., Pacifico Silva, H., Pozelli Sabio, R., & Roncarolo, F. (2018). The unexplored contribution of responsible innovation in health to sustainable development goals. Sustainability, 10(11), 4015.

Liu, Y., Chan, C., Zhao, C., & Liu, C. (2019). Unpacking knowledge management practices in China: do institution, national and organizational culture matter?. Journal of Knowledge Management, 23(4), 619-643.

Macey, W. H., & Schneider, B. (2008). The meaning of employee engagement. Industrial and organizational Psychology, 1(1), 3-30.

McCarthy, J. (2000). Concepts of logical AI. Logic-based artificial intelligence, 37-56.

Munir, S., Rasid, S. Z. A., Aamir, M., Jamil, F., & Ahmed, I. (2022). Big data analytics capabilities and innovation effect of dynamic capabilities, organizational culture and role of management accountants. foresight, (ahead-of-print).

Nachmias, S., Mitsakis, F., Aravopoulou, E., Rees, C. J., & Kouki, A. (2022). Line managers' perceptions of diversity management: insights from a social exchange theory perspective. Employee Relations: The International Journal, 44(2), 294-318.

Oestreich, J. E. (2018). SDG 10: Reduce inequality in and among countries. Social Alternatives, 37(1), 34-41.

Ogueyungbo, O. O., Moses, C. L., Igbinoba, E. E., Osibanjo, A., Falola, H., & Salau, O. (2022). Prescriptive learning and sustainable employee engagement in selected pharmaceutical firms in Nigeria. Sustainability, 14(5), 3043.

Oparaocha, G. O. (2016). Towards building internal social network architecture that drives innovation: A social exchange theory perspective. Journal of Knowledge Management, 20(3), 534-556.

Pettigrew, A. M. (1979). On studying organizational cultures. Administrative science quarterly, 24(4), 570-581.

Pillai, R., Ghanghorkar, Y., Sivathanu, B., Algharabat, R., & Rana, N. P. (2024). Adoption of artificial intelligence (AI) based employee experience (EEX) chatbots. Information Technology & People, 37(1), 449-478.

Pons, F. Z., Lacambra, L. P., Rodriguez, L., Piercy, S. L., & Pahlevi, B. (2022). SDG 10: A collaboration To Inhibit Inequalities, In And Through Business Innovations. Critical Reflections on Innovative Flourishing Businesses in the context of the UN Sustainable Development Goals.

Popa, C. (2012). Adoption of artificial intelligence in agriculture.

Purdy, M., & Daugherty, P. (2016). Why artificial intelligence is the future of growth. Remarks at AI now: the social and economic implications of artificial intelligence technologies in the near term, 1-72.

Rachinger, M., Rauter, R., Müller, C., Vorraber, W., & Schirgi, E. (2018). Digitalization and its influence on business model innovation. Journal of manufacturing technology management, 30(8), 1143-1160.

Rahman, M., Ming, T. H., Baigh, T. A., & Sarker, M. (2023). Adoption of artificial intelligence in banking services: an empirical analysis. International Journal of Emerging Markets, 18(10), 4270-4300.

Rakova, B., Yang, J., Cramer, H., & Chowdhury, R. (2021). Where responsible AI meets reality: Practitioner perspectives on enablers for shifting organizational practices. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 1-23.

Rane, N. (2023). Roles and challenges of ChatGPT and similar generative artificial intelligence for achieving the sustainable development goals (SDGs). Available at SSRN 4603244.

Ransbotham, S., Kiron, D., Gerbert, P., & Reeves, M. (2017). Reshaping business with artificial intelligence: Closing the gap between ambition and action. MIT Sloan Management Review, 59(1).

Rao, S., Chitranshi, J., & Punjabi, N. (2020). Role of artificial intelligence in employee engagement and retention. Journal of Applied Management-Jidnyasa, 42-60.

Sachs, J. D., Schmidt-Traub, G., Mazzucato, M., Messner, D., Nakicenovic, N., & Rockström, J. (2019). Six transformations to achieve the sustainable development goals. Nature sustainability, 2(9), 805-814.

Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi‐sample study. Journal of Organizational Behavior: The International Journal of Industrial, Occupational and Organizational Psychology and Behavior, 25(3), 293-315.

Schaufeli, W. B., Salanova, M., González-Romá, V., & Bakker, A. B. (2002). The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness studies, 3, 71-92.

Schaufeli, W. B. (2003). UWES–Utrecht work engagement scale: test manual. (No Title).

Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation coefficients: appropriate use and interpretation. Anesthesia & analgesia, 126(5), 1763-1768.

Shelke, A. U., & Shaikh, N. (2023). Mediating role of workplace happiness in enhancing work engagement. Rajagiri Management Journal, (ahead-of-print).

Smith, C. (2019). An employee’s best friend? How AI can boost employee engagement and performance. Strategic HR Review, 18(1), 17-20.

Thokozani, S. B. M., & Maseko, B. (2017). Strong vs. weak organizational culture: Assessing the impact on employee motivation. Arabian Journal of Business and Management Review, 7(1), 2-5.

Truss, C., Delbridge, R., Alfes, K., Shantz, A., & Soane, E. (Eds.). (2013). Employee engagement in theory and practice. London: Routledge.

United Nations General Assembly. (2015, October 21). Resolution adopted by the General Assembly on 25 September 2015. United Nations. https://documents.un.org/doc/undoc/gen/n15/291/89/pdf/n1529189.pdf?token=TI2c5SsKtCgf6L7vEg&fe=true

United Nations Global Compact. (2022). Global Goals for people and planet. United Nations Global Compact. https://unglobalcompact.org/sdgs/about

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.

Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178.

Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., ... & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11(1), 1-10.

Wamba-Taguimdje, S. L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E. (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893-1924.

Willcoxson, L., & Millett, B. (2000). The management of organisational culture. Australian Journal of Management and Organisational Behaviour, 3(2), 91-99.

Zhao, Y., & Bacao, F. (2021). How does gender moderate customer intention of shopping via live-streaming apps during the COVID-19 pandemic lockdown period?. International journal of environmental research and public health, 18(24), 13004.