Business Commons^™

Impact Of Hr Slack On Firm Performance: An Empirical Study On Chinese High-Tech Firms, Weixiong Feng

Dissertations and Theses Collection (Open Access)

As part of organizational slack, HR slack plays a role in managing external risks and opportunities when the global business environment is in turmoil. In recent years, Chinese high-tech companies have faced external shocks such as reverse globalization, the decoupling of economic and trade relations, supply chain disruptions, and epidemics. These have posed new challenges to their strategy formulation, business operations, and talent acquisition. High-tech Chinese companies must know whether they must prepare adequate human resources as buffers to address these challenges and opportunities. For high-tech companies, this study proposes, for the first time, that HR slack must be analyzed …

Exploring Divestitures: Studies On Motivation Factors And Tools, Yun Qiao

Dissertations and Theses Collection (Open Access)

This paper explores the phenomenon of 'big company disease' commonly experienced by large companies as they expand. In Western markets, companies are more inclined to respond to the financial market by undergoing divestitures to address this issue. Divestitures simplify the company's structure, making it easier for investors to understand its value. Consequently, this facilitates companies in acquiring more capital resources and provides strong incentives for management. However, in emerging markets, divestitures are less likely due to a less developed financial market and the advantages associated with maintaining a large size and control.

The first study focuses on how listed companies …

Traceability Technology Adoption In Supply Chain Networks, Philippe Blaettchen, Andre P. Calmon, Georgina Hall

Research Collection Lee Kong Chian School Of Business

Modern traceability technologies promise to improve supply chain management by simplifying recalls, increasing visibility, and verifying sustainable supplier practices. Initiatives leading the implementation of traceability technologies must choose the least-costly set of firms—or seed set—to target for early adoption. Choosing this seed set is challenging because firms are part of supply chains interlinked in complex networks, yielding an inherent supply chain effect: benefits obtained from traceability are conditional on technology adoption by a subset of firms in a product’s supply chain. We prove that the problem of selecting the least-costly seed set in a supply chain network is hard to …

The Interpersonal Effects Of Emotional Expressions With Both And Single Valences On Work-Related Satisfaction: An Examination Of Emotions And Perceived Openness As Mediators, Ming-Hong Tsai

Research Collection School of Social Sciences

Work-related satisfaction has critical benefits. To predict work-related satisfaction, we investigated how a counterpart’s expressions of emotional complexity (both positive and negative emotions), positive emotions, and negative emotions influenced a perceiver’s work-related satisfaction during discussions over different work-relevant ideas. We conducted a three-wave coworker survey (N = 529) and an experiment with a confederate as a task partner (N = 378). The results consistently showed significant positive impacts of a counterpart’s emotional complexity and positive emotion expressions on a perceiver’s work-related satisfaction by enhancing the perceiver’s positive emotions and evaluation of the counterpart’s openness. Conversely, a counterpart’s negative emotion expression …

On The Effects Of Information Asymmetry In Digital Currency Trading, Kwansoo Kim, Robert John Kauffman

Research Collection School Of Computing and Information Systems

We report on two studies that examine how social sentiment influences information asymmetry in digital currency markets. We also assess whether cryptocurrency can be an investment vehicle, as opposed to only an instrument for asset speculation. Using a dataset on transactions from an exchange in South Korea and sentiment from Korean social media in 2018, we conducted a study of different trading behavior under two cryptocurrency trading market microstructures: a bid-ask spread dealer's market and a continuous trading buy-sell, immediate trade execution market. Our results highlight the impacts of positive and negative trader social sentiment valences on the effects of …

Within-Development Density And Housing Prices In Singapore, Eric Fesselmeyer, Haoming Liu, Louisa Poco

Research Collection College of Integrative Studies

This paper measures how much more households pay for less density in their immediate surroundings. Using transaction and administrative data and exploiting the introduction of a regulation that restricted the number of housing units for certain land lots, we find that households discount density: a 10% increase in within-development density decreases the price per square meter by 5%. Further, the mean price per square meter of the average development increased by 1%–3% after the regulation was introduced, while the amount of built-up space remained constant. The increase in total revenue suggests developers may underestimate the externality caused by density.

Pay Suppression In Social Impact Contexts: How Framing Work Around The Greater Good Inhibits Job Candidate Compensation Demands, Insiya Hussain, Marko Pitesa, Stefan Thau, Michael Schaerer

Research Collection Lee Kong Chian School Of Business

Past research suggests that when organizations communicate the benefits of their work for human welfare—that is, use a social impact framing for work—job candidates are willing to accept lower wages because they expect the work to be personally meaningful. We argue that this explanation overlooks a less socially desirable mechanism by which social impact framing leads to lower compensation demands: the perception among job candidates that requesting higher pay will breach organizational expectations to value work for its intrinsic (rather than extrinsic) rewards, or constitute a motivational norm violation. We find evidence for our theory across five studies: a qualitative …

The Influence Of Societal Nationalist Sentiment On Trade Flows, Douglas Dow, Ilya Cuypers

Research Collection Lee Kong Chian School Of Business

In recent years, the world has witnessed a backlash against globalization and a rise in populist and nationalist movements around the world. However, there appears to be little empirical research concerning how these movements, and especially nationalist sentiment, actually influence trade. Therefore, we explore how and when nationalist sentiment within a country influences trade. Our results indicate that the effect of nationalist sentiment on imports is mediated by lower participation in free trade agreements (FTAs) but not via tariffs. Furthermore, we are unable to confirm support for a direct effect of nationalist sentiment on imports, as predicted by the consumer …

Demand Pull Versus Resource Push Training Approaches To Entrepreneurship: A Field Experiment, Simone Santamaria, Niloofar Abolfathi, Ishtiag Pasha Mahmood

Research Collection Lee Kong Chian School Of Business

We compare the efficacy of two broad approaches to entrepreneurship training: a training prioritizing demand-side activities versus a training prioritizing resource-side activities. We do so by running a field experiment inside a 6-month entrepreneurship program involving 236 early-stage entrepreneurs. Inspired by our training, the first group invested more time interacting with potential customers and developing a deep understanding of customer needs and problems. The other group, in contrast, spent more time identifying and exploiting their core resources such as their network. Our results reveal that the training prioritizing demand-side activities is substantially more effective. At the end of the program, …

Analysts' Earnings Per Share Forecasts: The Effects Of Forecast Uncertainty And Forecast Precision On Investor Judgements, Clarence Goh

Research Collection School Of Accountancy

This study uses controlled experiments to investigate the joint effects of forecast uncertainty and forecast precision on investor judgements. It finds that forecast precision moderates the effects of forecast uncertainty on investors' forecast reliability judgements such that the effects of forecast uncertainty on investors' judgements of forecast reliability are more negative when an analyst's point earnings per share (EPS) forecast is rounded than when it is precise. In addition, the relationship between forecast precision and investors' judgements of forecast reliability is mediated by investors' perceptions of forecast attributes. The evidence also suggests that while forecast uncertainty exerts a negative effect …

Social Network Centrality And The Corporate Environment: The Case Of Sexual Diversity Policies, Nuttavuth Nundhapana, Chiyachantana N. Chiraphol, Kuan Yong David Ding, Sirimon Treepongkaruna

Research Collection Lee Kong Chian School Of Business

We study the external influence of social capital, measured by Facebook's (now Meta) Social Connectedness Index, on a firm's decision to adopt policies that promote a more diverse corporate environment. Recent studies find corporate policies that embrace sexual diversity are beneficial to firms and their stakeholders, thereby contributing to their corporate social responsibility (CSR) and business sustainability. We find that firms with a high social network centrality are more likely to adopt policies and business strategies that support sexual diversity. Moreover, firms that adopt good CSR practices are more likely to implement more inclusive policies such as sexual diversity policies. …

Theory Advancing Practice: The Contingency Theory In The Strategic Management Of Crises, Conflicts, And Complex Public Relations Issues, Pang, A., Yan Jin

Research Collection Lee Kong Chian School Of Business

If the news headlines are to be believed in their entirety, the world seems to be traversing from one crisis to another. COVID-19 was the black swan no one predicted. Even before the world emerged from the worst parts of the pandemic, Russia’s unprovoked invasion of Ukraine triggered global security concerns. In addition to the ongoing tensions between the United States (US) and China, US and Russia, Mainland China and Taiwan, and at the point of writing, the crisis between Ukraine and Poland over grain imports, one gets the impression that the world is in a fiery cauldron of turmoil. …

Understanding The Impact Of Trade Policy Effect Uncertainty On Firm-Level Innovation Investment: A Deep Learning Approach, Daniel Chang, Nan Hu, Peng Liang, Morgan Swink

Research Collection School Of Computing and Information Systems

Integrating the real options perspective and resource dependence theory, this study examines how firms adjust their innovation investments to trade policy effect uncertainty (TPEU), a less studied type of firm specific, perceived environmental uncertainty in which managers have difficulty predicting how potential policy changes will affect business operations. To develop a text-based, context-dependent, time-varying measure of firm-level perceived TPEU, we apply Bidirectional Encoder Representations from Transformers (BERT), a state-of-the-art deep learning approach. We apply BERT to analyze the texts of mandatory Management Discussion and Analysis (MD&A) sections of annual reports for a sample of 22,669 firm-year observations from 3,181 unique …

Non-Monotonic Generation Of Knowledge Paths For Context Understanding, Pei-Chi Lo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Knowledge graphs can be used to enhance text search and access by augmenting textual content with relevant background knowledge. While many large knowledge graphs are available, using them to make semantic connections between entities mentioned in the textual content remains to be a difficult task. In this work, we therefore introduce contextual path generation (CPG) which refers to the task of generating knowledge paths, contextual path, to explain the semantic connections between entities mentioned in textual documents with given knowledge graph. To perform CPG task well, one has to address its three challenges, namely path relevance, incomplete knowledge graph, and …

Analyzing Global Utilization And Missed Opportunities In Debt-For-Nature Swaps With Generative Ai, Nataliya Tkachenko, Simon Frieder, Ryan-Rhys Griffiths, Christoph Nedopil

Sim Kee Boon Institute for Financial Economics

We deploy a prompt-augmented GPT-4 model to distill comprehensive datasets on the global application of debt-for-nature swaps (DNS), a pivotal financial tool for environmental conservation. Our analysis includes 195 nations and identifies 21 countries that have not yet used DNS before as prime candidates for DNS. A significant proportion demonstrates consistent commitments to conservation finance (0.86 accuracy as compared to historical swaps records). Conversely, 35 countries previously active in DNS before 2010 have since been identified as unsuitable. Notably, Argentina, grappling with soaring inflation and a substantial sovereign debt crisis, and Poland, which has achieved economic stability and gained access …

Impacts Of The E-Centralized Procurement Platforms On Business Operations - Based On A Study Of Hebei Construction Group, Baozhong Li

Dissertations and Theses Collection (Open Access)

Thanks to the rapid development of Internet technology, enterprises make an important innovation and they launch e-centralized procurement platforms in procurement activities. Taking Hebei Construction Group for a case study, this paper aims to explore the impact of E-Centralized Procurement Platforms on business operations, and comprehensively evaluates the impact of E-Centralized Procurement Platforms on enterprises’ performance by means of theoretical review, case study, empirical research, and questionnaire.

Chapter 1 firstly presents the problems of this paper and introduces the background and significance of the selected topic. Hebei Construction Group is primarily engaged in the construction industry, so this paper is …

Do Underwriters Short-Change Corporations Issuing Bonds?, Jeremy C. Goh, Lisa (Zongfei) Yang

Research Collection Lee Kong Chian School Of Business

We confirm prior evidence that bonds on average are offered at prices below their immediate post-offer secondary market prices. However, in cases where banks lead–manage their own bond offerings the underpricing is significantly less as compared with other non-self-marketed offerings. These findings are robust across various matched samples and selection models. Our results suggest that the bond offering process is characterized by substantive agency conflicts between shareholders of corporations (issuers) and underwriters.

Enhancing Sell-Type Home Reversion Products For Retirement Financing, Koon Shing Kwong, Jing Rong Goh, Ting Lin Collin Chua

Research Collection School Of Economics

Loan-type reverse mortgage plans and sell-type home reversion plans for retirement financing are two well-known equity release plans that entitle homeowners not only to release cash from their properties but also to allow them to age in place. Recently, a new hybrid equity release plan was proposed to incorporate the home reversion plan’s features with an option of staying in the property for a fixed period without being subject to survival. This additional option provides flexibility to homeowners to better meet their retirement financial and personal needs by reducing the financial uncertainty of home reversion products. In this article, we …

Accounting Function Hierarchies And Financial Reporting Quality, Shuo Li

Dissertations and Theses Collection (Open Access)

I examine how the hierarchical structure of a firm’s accounting function influences its financial reporting quality. Using information from accounting employees’ online resumes to infer the hierarchical layers in a firm’s accounting function, I find that a firm with a more hierarchical accounting function exhibits higher financial reporting quality. Further analysis shows a hierarchical accounting function is associated with a reduced likelihood of internal control weaknesses, in particular internal control weaknesses in the segregation of duties and accounting personnel matters. These findings suggest that a hierarchical accounting function enhances financial reporting quality through improving internal control. These effects are more …

Legal Risk And Insider Trading, Marcin Kacperczyk, Emiliano Sebastian Pagnotta

Research Collection Lee Kong Chian School Of Business

Do illegal insiders internalize legal risk? We address this question with hand-collected data from 530 SEC (the U.S. Securities and Exchange Commission) investigations. Using two plausibly exogenous shocks to expected penalties, we show that insiders trade less aggressively and earlier and concentrate on tips of greater value when facing a higher risk. The results match the predictions of a model where an insider internalizes the impact of trades on prices and the likelihood of prosecution and anticipates penalties in proportion to trade profits. Our findings lend support to the effectiveness of U.S. regulations' deterrence and the long-standing hypothesis that insider …

Earnhft: Efficient Hierarchical Reinforcement Learning For High Frequency Trading, Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An

Research Collection School Of Computing and Information Systems

High-frequency trading (HFT) is using computer algorithms to make trading decisions in short time scales (e.g., second-level), which is widely used in the Cryptocurrency (Crypto) market, (e.g., Bitcoin). Reinforcement learning (RL) in financial research has shown stellar performance on many quantitative trading tasks. However, most methods focus on low-frequency trading, e.g., day-level, which cannot be directly applied to HFT because of two challenges. First, RL for HFT involves dealing with extremely long trajectories (e.g., 2.4 million steps per month), which is hard to optimize and evaluate. Second, the dramatic price fluctuations and market trend changes of Crypto make existing algorithms …

Learning From Machines: How Negative Feedback From Machines Improves Learning Between Humans, Tengjian Zou, Gokhan Ertug, Thomas Roulet

Research Collection Lee Kong Chian School Of Business

Prior studies on learning from failure primarily focus on how individuals learn from failure feedback given by other individuals. It is unclear whether and how the advent of machine feedback may influence individuals’ learning from failures. We suggest that failure feedback provided by machines facilitates learning in two ways. First, it focuses individuals’ attention on their failures, leading them to learn from these failures. Second, it serves as a catalyzer, motivating individuals to learn more from failure feedback given to them by other individuals as well. In addition, this catalyzing effect is stronger if the failure feedback from machines and …

Examining Sustainable Overseas Investment Information-Sharing Model For Automobile Enterprises: A Multi-Modal Weight Network Approach, Yuan Cheng, Xiaofang Chen, Changbo Lin, Sheqing Ma, Jie Feng

Research Collection School Of Accountancy

In an era of globalization, automotive companies are increasingly looking to make overseas investments to expand their production capacity and explore foreign markets. However, the outcomes of such investments are often influenced by a myriad of factors, including policy changes, social dynamics, and market conditions. To address the need for a comprehensive overseas investment information-sharing model, this research proposes an innovative approach based on a multi-modal weight network. This model aims to provide users with a global perspective on overseas investment opportunities, encompassing policy insights, and market dynamics. It integrates data from various sources, offering multi-dimensional information on investment regions, …

Diverse Hedge Funds, Yan Lu, Narayan Y. Naik, Melvyn Teo

Research Collection Lee Kong Chian School Of Business

Hedge fund teams with heterogeneous educational backgrounds, academic specializations, work experiences, genders, and races, outperform homogeneous teams after adjusting for risk and fund characteristics. An event study of manager team transitions, instrumental variable regressions, and an analysis of managers who simultaneously operate solo- and team-managed funds address endogeneity concerns. Diverse teams deliver superior returns by arbitraging more stock anomalies, avoiding behavioral biases, and minimizing downside risks. Moreover, diversity allows hedge funds to circumvent capacity constraints and generate persistent performance. Our results suggest that diversity adds value in asset management. Authors have furnished an Internet Appendix, which is available on the …

Association Between Hba1c And Deep Sternal Wound Infection After Coronary Artery Bypass: A Systematic Review And Meta-Analysis, Wenyu Zhao, Jingui Xie, Zhichao Zheng, Han Zhou, Oon Cheong Ooi, Haidong Luo

Research Collection Lee Kong Chian School Of Business

Background: Deep sternal wound infection (DSWI) constitutes a serious complication after coronary artery bypass grafting (CABG) surgery. The aim of this study is to evaluate the dose-response relationship between glycated hemoglobin (HbA1c) level and the risk of DSWI after CABG. Methods: PubMed, Scopus, and Cochrane Library databases were searched to identify potentially relevant articles. According to rigorous inclusion and exclusion criteria, fourteen studies including 15,570 patients were finally enrolled in our meta-analysis. Odds ratio (OR) with 95% confidence intervals (CIs) was used as the summary statistic. The robust-error meta-regression model was used to synthesize the dose-response relationship. Results: Our meta-analysis …

Attentional Engagement And Strategic Responses To Discontinuous Environmental Change: Evidence From The Us Banking Industry, Daniel Z. Mack, Theresa S. Cho, Andrew C. Yi

Research Collection Lee Kong Chian School Of Business

While prior research has established a link between the attention an organization allocates to the external environment and its adaptations to environmental change, the nature of the cognitive processes that underlie this link remains underexamined. In this study, we explore how patterns of attentional engagement—that is, the extent to which attention allocation is focused and/or consistent over time—influence the organization’s formulation of strategic responses to discontinuous change. We advance a situated perspective on attentional engagement by suggesting how the type of learning and cognitive processes are situated in different attentional-engagement structures, and can, in turn, lead to heterogeneous strategic responses …

Envy Influences Interpersonal Dynamics And Team Performance: Roles Of Gender Congruence And Collective Team Identification, Kenneth Tai, Sejin Keem, Ki Young Lee, Eugene Kim

Research Collection Lee Kong Chian School Of Business

Our research extends past envy research by considering how envy and gender congruence shape interpersonal dynamics at the dyadic level and their bottom-up effects for team performance. Integrating social comparison theory and social identity theory, we examine when and how dyadic level envy influences team performance. Using time-lagged data from 428 dyads of 161 employees in 51 teams, our results show that envious employees are likely to engage in interpersonal deviance directed toward envied team members and that envied employees are likely to seek advice from envious team members. Gender congruence further influences these relationships, with different patterns for males …

What Difference Do The New Factor Models Make In Portfolio Allocation?, Frank J. Fabozzi, Dashan Huang, Fuwei Jiang, Jiexun Wang

Research Collection Lee Kong Chian School Of Business

This paper compares the Hou-Xue-Zhang four-factor model with the Fama-French five-factor model from an investing perspective both in- and out-of-sample. Without margin requirements and model uncertainty, the Hou-Xue-Zhang model outperforms the Fama-French model. However, the outperformance could become negligible if an investor is subject to margin requirements and model uncertainty. The Hou-Xue-Zhang model shows similar power as the Fama-French model in describing the covariance matrix of asset returns. Overall, the two models do not make a difference for investing in a realistic setting.

Market-Gan: Adding Control To Financial Market Data Generation With Semantic Context, Haochong Xia, Shuo Sun, Xinrun Wang, Bo An

Research Collection School Of Computing and Information Systems

Financial simulators play an important role in enhancing forecasting accuracy, managing risks, and fostering strategic financial decision-making. Despite the development of financial market simulation methodologies, existing frameworks often struggle with adapting to specialized simulation context. We pinpoint the challenges as i) current financial datasets do not contain context labels; ii) current techniques are not designed to generate financial data with context as control, which demands greater precision compared to other modalities; iii) the inherent difficulties in generating context-aligned, high-fidelity data given the non-stationary, noisy nature of financial data. To address these challenges, our contributions are: i) we proposed the Contextual …

Robust Permissioned Blockchain Consensus For Unstable Communication In Fanet, Zihao Wang, Hang Wang, Zhuowen Li, Xinghua Li, Yinbin Miao, Yanbing Ren, Yunwei Wang, Zhe Ren, Deng, Robert H.

Research Collection School Of Computing and Information Systems

The utilization of blockchain technology as a distributed information sharing system has gained widespread adoption across various domains. However, its application to Flying Ad-Hoc Network (FANET), characterized by severe packet loss, poses significant challenges. The high packet loss rates in FANETs can result in decreased consensus success rates and negatively impact information sharing consistency and efficiency. In this paper, we proposed RoUBC, a novel consensus scheme for Flying Ad-Hoc Networks (FANET), which is based on the Raft protocol and is designed to address the challenges posed by the severe packet loss network in FANET. The proposed scheme consists of two …