Pusat Pengajian Siswazah Perniagaan - Tesis
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- PublicationLeanness, Innovativeness, And Knowledge Management As Main Drivers For Green Innovation To Achieve Sustainable Business Performance(2025-08)Yew, Ho HeeSustainability comprises three core dimensions: economic, environmental, and social, collectively known as the Triple Bottom Line. This framework provides a basis for sustainable development and performance evaluation. In Malaysia’s manufacturing sector, sustainability remains a pressing concern due to persistent challenges such as high carbon emissions, pollution and inefficient resource use. Additionally, limited compliance with environmental management systems and the slow adoption of green innovation practices continue to constrain progress toward sustainability. The main objective of this study was to establish the relationship between Green Innovation and sustainable performance using the Triple Bottom Line framework. The Green Innovation in this research included Green Process Innovation, Green Product Innovation, and Innovation Quality. Additionally, the study investigated how Leanness, Innovativeness, and Knowledge Management acted as antecedents to Green Innovation. Furthermore, the research evaluated the moderating impact of Knowledge Flow on the correlation between Knowledge Management and Green Innovation. It also examined how Competitive Intensity moderated the correlation between Green Product Innovation and the Triple Bottom Line.
- PublicationInfluence Of Proactive Esg Strategies, Slack Resources, And Collective Brain On Esg Disclosure And Firm Value In Japanese Companies(2025-09)Takashi, SekimotoThis study explores the influence of proactive ESG strategies and slack resources on ESG disclosure quality and firm value among Japanese firms, based on a crosssectional sample of 107 companies. The results show that both PESGS and slack resources enhance firm value, and that ESG disclosure quality serves as a mediator between PESGS and firm value. The study also introduces the concept of collective brain, which moderates the relationship between slack resources and firm value by facilitating innovation through shared knowledge and skills with cultural diversity among employees of firms.
- PublicationThe Influence Of Organisational Factors On Quality Performance: Mediating Role Of Knowledge Management And Moderating Role Of Organisational Culture(2025-08)Leung, Kim KiThe dynamic global market has compelled businesses to swiftly adapt, with Hong Kong's watchmaking industry struggling to match the quality of Swiss watches. To address this, the Hong Kong Productivity Council has proposed strategies to boost manufacturing performance. This study examines how organisational factors (OF) - customer relationship management (CRM), supplier relationship management (SRM), employee empowerment and involvement (EEI), communication (C), and teamwork (T) - affect knowledge management (KM) and its direct impact on quality performance (QP) in watchmaking companies. It also explores KM's mediating role between OF and QP, and the moderating effect of organisational culture (OC) on the KM-QP relationship.
- PublicationAntecedents And Outcomes Of Green Information Systems Practices Among Malaysian Higher Education Institutions: The Role Of Enterprise Risk Management(2025-08)Khaw, Tze YinGreen information systems (GIS) practices are essential for higher education institutions (HEIs) to achieve cost reduction, sustainability innovation, and competitive advantages while mitigating the negative environmental impacts associated with information technology activities, such as carbon emissions and energy consumption. Embracing green practices in HEIs also enhances institutional reputation, attracts more international students, and promotes sustainability. However, achieving sustainability through green practices in Malaysian HEIs remains challenging due to a combination of technological, organizational, and environmental (TOE) factors. Moreover, there is a lack of research evidence concerning the sustainable performance outcomes (environmental performance, social performance, and economic performance) of GIS practices in the Malaysian higher education industry, necessitating empirical evaluation. To address these issues, this study investigated the antecedents influencing GIS practices in Malaysian HEIs across TOE factors. It also examined the sustainable performance outcomes of GIS practices. Additionally, HEIs operate within an environment characterized by uncertainties and risks. Thus, the role of enterprise risk management (ERM) as a moderator between GIS practices and sustainable performance outcomes was examined. The study utilized an online survey questionnaire to gather data from 166 HEIs in Malaysia.
- PublicationCorporate Financial Performance, Environmental, Social, And Governance (Esg Performance), Intellectual Capital, And Stock Return In Asean-5 Countries(2025-06)Hartono, WendraThe covid-19 pandemic has significantly reduced the asean-5 stock market index's stock return. Factors such as environmental social governance (esg) performance and intellectual capital (ic) have been studied in developed countries but are rarely used as indicators for purchasing stocks in developing countries. The purpose of this study is to investigate the effect of non-financial (esg performance and ic components) and financial performance on stock return from 2017 to 2021 in asean-5 countries. This study uses signalling theory as an underpinning theory, legitimacy theory, and rbv theories as supporting theories to investigate the effect of non-financial and financial performance on stock return in asean-5 countries. This study is categorized as a quantitative research approach, using unbalanced panel data analysis obtained from the annual financial reports and accounts of selected enterprises from asean-5 nations, both before and during the covid-19 pandemic. The total data observation is 984 companies gathered from purposive sampling method and has two models covering data from 2017 to 2021. Model 1 uses data sample from the year 2017 to 2021 (overall condition). Model 2 uses data sample from the year 2017 to 2019 (before covid-19 pandemic). Model 3 uses data sample from the year 2020 to 2021 (during covid-19 pandemic). In this study, there are five diagnostic or assumption tests. There are multicollinearity, heteroskedasticity,