Determining the Equilibrium Point between Efficiency and Well-Being in Enterprise Social Media Usage: A Hybrid Approach Using Response Surfaces and Optimization Methods

Xizi Wang, Guangwei Hu (), Yuanyuan Shu and Wenfeng Si
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Xizi Wang: School of Information Management, Nanjing University, Nanjing 210023, China
Guangwei Hu: School of Information Management, Nanjing University, Nanjing 210023, China
Yuanyuan Shu: School of Information Management, Nanjing University, Nanjing 210023, China
Wenfeng Si: School of Sociology and Population Studies, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Sustainability, 2024, vol. 16, issue 17, 1-21

Abstract: With the progression of digital transformation in the workplace, the use of enterprise social media has become a daily routine in contemporary organizations. In the course of this transition, securing enterprise social media for both efficiency and individual well-being is pivotal as it steers digital transformation towards a sustainable future. Despite the huge benefits, the impact of enterprise social media on individuals is often seen as a double-edged sword, posing a managerial dilemma to organizations. To address this issue, our research developed a hybrid method aiming at maximizing efficiency and protecting employees’ psychological well-being with neither target being compromised. Polynomial regression with response surfaces was employed to visually elucidate the variations in work engagement and work exhaustion, thereby identifying the conditions for optimal values of work engagement. We then transformed the conflicting outcome variables into a single optimization goal. By calculating the equilibrium point and comparing various predictor limits, we determined an optimal condition to achieve both targets. Specifically, the equilibrium point is identified when employees’ psychological detachment slightly exceeds enterprise social media use. The optimal condition can be identified when two predictors are symmetrically aligned with each other. Our method demonstrates that a congruence framework of enterprise social media use is conducive to both efficiency and well-being, challenging the existing assertion that moderate usage is most favorable and questioning linear relationship assumptions. This study extends the innovative application of optimization techniques to broader managerial domains and provides practical solutions for reconciling the contradictory effects between well-being and efficiency, thereby promoting the sustainable success of enterprise social media.

Keywords: enterprise social media use; polynomial regression with response surface; multi-objective optimization; psychological detachment (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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