Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Logistics and Maritime Studies | en_US |
| dc.contributor.advisor | Yeung, C. L. Andy (LMS) | en_US |
| dc.creator | Wang, Kedi | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/13652 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Three studies on the performance outcomes of remote work arrangements | en_US |
| dcterms.abstract | With the rapid growth of the digital economy and the onset of the post-pandemic era, remote work is increasingly becoming the new normal in business operations. This shift not only accelerates the process of digital transformation within firms but also promotes profound changes in production and lifestyle. Although remote work is gradually gaining attention from both society and individual employees, there remains a relative scarcity of understanding regarding how remote work affects firms' performance outcomes. Previous research has largely focused on the impact of remote work at the individual level, lacking a systematic exploration of how remote work can build firms' competitive advantage in the context of the digital economy. | en_US |
| dcterms.abstract | Based on this background, this thesis builds on the traditional competition strategy model and introduces the digital competition strategy model to identify three firm performance outcomes that are closely related to competitive advantages in the digital economy era: operational efficiency, innovation performance, and information security. Firstly, this thesis examines the impact of remote work on operational efficiency from a cost leadership perspective. Operational efficiency is a widespread concern for firms implementing remote work practices and is key to how remote work can build a firm's cost leadership competitive advantage in the digital economy era. Secondly, this thesis focuses on the impact of remote work on innovation performance from a differentiation perspective. Innovation performance is a crucial driver for the continuous growth and development of a firm in the digital economy era. Lastly, this thesis explores the impact of remote work on firms' information security from a risk management perspective. In the context of the digital economy, ensuring firms' information security is necessary for stable business development and an indispensable factor in building a competitive advantage for secure development. Based on the Motivation-Ability-Opportunity (MAO) framework, knowledge search theory, and the socio-technical system view, this thesis explores the impact of remote work on firms' performance outcomes and identifies significant boundary conditions through three studies. | en_US |
| dcterms.abstract | Study 1 explores the impact of remote work on operational efficiency and examines the moderating role of employee relationship (motivational factor), profitability (ability factor), and high-tech industry (opportunity factor) based on the MAO theoretical framework. This study employs econometric analysis methods based on secondary data, utilizing Propensity Score Matching (PSM), Difference-in-Differences (DID), and Difference-in-Difference-Difference (DDD) models to test the hypotheses. The results indicate that remote work reduces operational efficiency in the long term; however, a firm having positive employee relationship, strong profitability, and belonging to the high-tech industry can effectively mitigate the adverse impact of remote work on operational efficiency. Finally, Study 1 uses parallel trend test, placebo test, alternative sample periods, alternative measures of operational efficiency, and alternative measures of remote work to check the robustness of this study. | en_US |
| dcterms.abstract | Study 2 investigates the impact of remote work on innovation performance (innovation quantity and innovation quality) and examines the moderating roles of slack resource and growth opportunity based on knowledge search theory. This study employs negative binomial regression, DID, and DDD to test the hypotheses. The results indicate that remote work can significantly increase both the quantity and quality of innovation. Slack resource weakens the positive impact of remote work on innovation performance; meanwhile, growth opportunity enhances the positive effect of remote work on innovation performance. Additionally, Study 2 conducts robustness checks through alternative dependent variables, the Heckman two-stage analysis, Two-Stage Residual Inclusion (2SRI), and lagged dependent variables. | en_US |
| dcterms.abstract | Study 3 delves into the impact of remote work on information security risks and examines the moderating roles of information technology (IT) capability (technological system) and managerial capability (social system) from a socio-technical system view. This study differentiates between proactive and reactive remote work and assesses the differential impacts of these two types of remote work on firms' information security risks. This study employs the Linear Probability Model (LPM) to test the hypotheses. The results indicate that both proactive and reactive remote work increase the likelihood and severity of information security risks. IT capability weakens the information security risks introduced by both proactive and reactive remote work. However, managerial capability can effectively mitigate the information security risks associated with proactive remote work, but its moderating effect on the relationship between reactive remote work and information security risks is not significant. In addition, Study 3 validates the robustness of the results through several methods, including the Heckman two-stage analysis, fixed effects logistic regression and Poisson regression, and additional analysis. | en_US |
| dcterms.abstract | This thesis makes significant contributions to both the theory and the practice of remote work. First, by empirically testing the impact of remote work on firms' performance outcomes, this thesis enriches the empirical evidence for remote work research and provides extensive empirical evidence on how remote work affects firms' operational efficiency, innovation performance, and information security. Second, this thesis identifies key boundary conditions in the relationship between remote work and performance from multiple theoretical perspectives, thereby broadening the theoretical lens of remote work research. Third, this thesis reveals the long-term impact of remote work on operational efficiency and offers universal empirical conclusions about the relationship and contingency factors between remote work and operational efficiency, thereby enriching the empirical research in the domain of remote work and operational management. Fourth, this thesis empirically verifies the impact of remote work on innovation performance and identifies important contingency factors that may promote or inhibit the relationship, thus offering new insights into the relationship between remote work and innovation performance. Fifth, this thesis innovatively distinguishes between proactive and reactive remote work, revealing the impact of these two types of remote work on information security risks, enriching the connotations of remote work, and extending the empirical research related to remote work and risk management. | en_US |
| dcterms.extent | xiii, 214 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2025 | en_US |
| dcterms.educationalLevel | Ph.D. | en_US |
| dcterms.educationalLevel | All Doctorate | en_US |
| dcterms.LCSH | Telecommuting | en_US |
| dcterms.LCSH | Organizational effectiveness | en_US |
| dcterms.LCSH | Personnel management | en_US |
| dcterms.LCSH | Technological innovations | en_US |
| dcterms.LCSH | Computer networks -- Security measures | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | open access | en_US |
Copyright Undertaking
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item:
https://theses.lib.polyu.edu.hk/handle/200/13652