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Full-Text Articles in Business Law, Public Responsibility, and Ethics
Invisible Inequalities: Barriers, Challenges, And Opportunities, Hari Bapuji, Gokhan Ertug, Vivek Soundarajan, Jason D. Shaw
Invisible Inequalities: Barriers, Challenges, And Opportunities, Hari Bapuji, Gokhan Ertug, Vivek Soundarajan, Jason D. Shaw
Research Collection Lee Kong Chian School Of Business
Inequality is a grand challenge of our times, and management researchers have responded by examining the relationship between business and societal economic inequalities. This research has enhanced our understanding of the nature, sources, and consequences of inequalities, as well as identified actions to address them. However, this effort has predominantly revolved around visible inequalities. We seek to direct greater scholarly attention to invisible inequalities – uneven possession of and access to resources and opportunities to engage in value creation, appropriation, and distribution based on attributes and characteristics that are not readily apparent or noticeable. Expanding the scope of investigations to …
On Sgx’S Voyage To Corporate Sustainability: Exploring Emerging Topics In Multi-Industry Corpora, Xinwen Ni, Min Bin Lin, Simon J.D. Schillebeeckx, Wolfgang Karl Hardle
On Sgx’S Voyage To Corporate Sustainability: Exploring Emerging Topics In Multi-Industry Corpora, Xinwen Ni, Min Bin Lin, Simon J.D. Schillebeeckx, Wolfgang Karl Hardle
Research Collection Lee Kong Chian School Of Business
Topic modeling and LDA (Latent Dirichlet Allocation) have proven valuable in various fields as an innovative approach to studying areas of interest and identifying topics in a dynamic content. The underlying assumption is that techniques like LDA can swiftly capture emerging topics in textual documents compared to other categorization tools. These unsupervised approaches have been used to identify new industries and technological domains. However, our study on the nascent topic of “sustainability” within the corpora of SGX-listed companies highlights clear limitations in employing techniques like LDA on sparse data. The dynamic LDA approach, also called DTM (Dynamic Topic Modelling),based on …