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Full-Text Articles in Business
Bringing Excitement To Empirical Business Ethics Research: Thoughts On The Future Of Business Ethics, Mayowa T. Babalola, Matthijs Bal, Charles H. Cho, Lucia Garcia-Lorenzo, Omrane Guedhami, Hao Liang, Greg Shailer, Suzanne Van Gils
Bringing Excitement To Empirical Business Ethics Research: Thoughts On The Future Of Business Ethics, Mayowa T. Babalola, Matthijs Bal, Charles H. Cho, Lucia Garcia-Lorenzo, Omrane Guedhami, Hao Liang, Greg Shailer, Suzanne Van Gils
Research Collection Lee Kong Chian School Of Business
To commemorate 40 years since the founding of the Journal of Business Ethics, the editors-in-chief of the journal have invited the editors to provide commentaries on the future of business ethics. This essay comprises a selection of commentaries aimed at creating dialog around the theme Bringing Excitement to Empirical Business Ethics Research (inspired by the title of the commentary by Babalola and van Gils). These editors, considering the diversity of empirical approaches in business ethics, envisage a future in which quantitative business ethics research is more bold and innovative, as well as reflexive about its techniques, and dialog between quantitative …
Accounting And Finance Lessons In The Time Of Covid-19: Views From The Pacific Basin: Part 2, Kuan Yong David Ding, Julie Harrison, Martien Lubberink, Chris Van Staden
Accounting And Finance Lessons In The Time Of Covid-19: Views From The Pacific Basin: Part 2, Kuan Yong David Ding, Julie Harrison, Martien Lubberink, Chris Van Staden
Research Collection Lee Kong Chian School Of Business
The global COVID-19 pandemic is now in its second year, and we are fast approaching the third. The year 2021 has brought some hope that vaccination will lead to the end of the pandemic. But it has also brought a more infectious variant of COVID-19 and multiple waves of surging cases that show no immediate sign of disappearing. As the pandemic continues to impact global societies and economies, it is imperative that we study its impact to try and understand how it will affect us in both the short-term and long-term. While the longer-term impacts are still unknown, there is …
Accounting And Finance Lessons In The Time Of Covid-19 – Views From The Pacific Basin, Kuan Yong David Ding, Julie Harrison, Martien Lubberink, Chris Van Staden
Accounting And Finance Lessons In The Time Of Covid-19 – Views From The Pacific Basin, Kuan Yong David Ding, Julie Harrison, Martien Lubberink, Chris Van Staden
Research Collection Lee Kong Chian School Of Business
The COVID-19 pandemic is expected to create the worst economic recession in our lifetime and generate “enormous damage to our health, jobs, and well-being” (OECD, 2020). This special issue focuses on the lessons for accounting and finance policy-makers, practitioners, and academics as a result of the social and economic turmoil that arose in the immediate period following the World Health Organization’s declaration of a pandemic (WHO, 2020). Governments responded to support businesses and economies using various policy tools to support markets, businesses and individuals impacted by the pandemic. It is timely to consider the extent to which policymakers and standard-setters …
The Impact Of Advertising Share Of Voice On The Idiosyncratic Risk Of The Firm, Sungkyun Moon, Kapil R. Tuli, Anirban Mukherjee
The Impact Of Advertising Share Of Voice On The Idiosyncratic Risk Of The Firm, Sungkyun Moon, Kapil R. Tuli, Anirban Mukherjee
Research Collection Lee Kong Chian School Of Business
Integrating literature in marketing, finance and accounting, this study examines the impact ofa firms’ advertising share of voice (ASOV) on investors’ uncertainty about its future financialperformance, i.e., firms’ idiosyncratic risk. Drawing on signaling theory, authors propose that ASOV serves as a signal for investors such that higher ASOV reduces idiosyncratic risk. Consistent with this argument, analysis of 2,777 publicly listed firms over a two-decade period (1995-2014) shows that ASOV has a significant negative effect on idiosyncratic risk.In addition, consistent with the argument that ASOV is a more credible signal when firmshave higher cash flows; authors find that the negative impact …
Textual Analysis And Machine Leaning: Crack Unstructured Data In Finance And Accounting, Li Guo, Feng Shi, Jun Tu
Textual Analysis And Machine Leaning: Crack Unstructured Data In Finance And Accounting, Li Guo, Feng Shi, Jun Tu
Research Collection Lee Kong Chian School Of Business
In finance and accounting, relative to quantitative methods traditionally used, textual analysis becomes popular recently despite of its substantially less precise manner. In an overview of the literature, we describe various methods used in textual analysis, especially machine learning. By comparing their classification performance, we find that neural network outperforms many other machine learning techniques in classifying news category. Moreover, we highlight that there are many challenges left for future development of textual analysis, such as identifying multiple objects within one single document.