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2023

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Articles 3721 - 3750 of 5464

Full-Text Articles in Business

The Future Of Private Label Markets: A Global Convergence Approach, Katrijn Gielens, Marnik G. Dekimpe, Anirban Mukherjee, Kapil R. Tuli Mar 2023

The Future Of Private Label Markets: A Global Convergence Approach, Katrijn Gielens, Marnik G. Dekimpe, Anirban Mukherjee, Kapil R. Tuli

Research Collection Lee Kong Chian School Of Business

Private-label (PL) shares are characterized by considerable heterogeneity across both countries and categories, not only in their current level, but also in the rate at which they are growing. This creates ambiguity about their remaining growth potential. To offer insights into the likely long-run PL shares, we take a forward-looking perspective by means of a convergence model. We apply the model to two unique datasets that together span more than 50 countries, both emerging and developed, across more than70 CPG categories. We find evidence of partial PL convergence: even though PL shares will become more similar, part of the currently …

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Consumers’ Preferences For Ethical Entertainment Consumption: Conceptualization, Development, And Validation Of A Scale, Avirupa Basu, Tamas Makany, Pratap Chandra Mandal, Ashutosh Bishnu Murti Mar 2023

Consumers’ Preferences For Ethical Entertainment Consumption: Conceptualization, Development, And Validation Of A Scale, Avirupa Basu, Tamas Makany, Pratap Chandra Mandal, Ashutosh Bishnu Murti

Research Collection Lee Kong Chian School Of Business

Our study describes the conceptualization, development, and validation of a reliable scale to measure the Consumers’ Preferences for Ethical Entertainment Consumption (CPEEC) in the context of OTT platforms. Past literature has addressed Ethical Consumption in various contexts that hold significant importance among consumers. However, there is limited literature on the Ethical Consumption in the domain of OTT entertainment, which is a new and burgeoning field of literature. Conceptualizing and developing a measurement scale for CPEEC will help measure the ethicality of entertainment like films, web shows and reality shows. The CPEEC scale is developed and validated by performing 33 in-depth …

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Exogenous Loss Of Analyst Coverage And Choice Of Audit Quality, Simon Yu Kit Fung, Zheng Wang, Liandong Zhang, Xindong Zhu Mar 2023

Exogenous Loss Of Analyst Coverage And Choice Of Audit Quality, Simon Yu Kit Fung, Zheng Wang, Liandong Zhang, Xindong Zhu

Research Collection School Of Accountancy

We show that a firm’s likelihood of appointing auditors with industry expertise or with a larger office increases after the firm is affected by an exogenous reduction in analyst coverage, relative to its matched control firms. This effect is stronger for affected firms with greater reductions in analyst monitoring, for smaller or younger firms, for firms with lower institutional or CEO ownership, and when the lost analysts are more effective monitors. We further show that affected firms that switch to high-quality auditors receive more positive market reaction, experience a smaller decrease in stock liquidity and a smaller increase in cost …

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Loan Spreads And Credit Cycles: The Role Of Lenders' Personal Economic Experiences, Daniel Carvalho, Janet Gao, Pengfei Ma Mar 2023

Loan Spreads And Credit Cycles: The Role Of Lenders' Personal Economic Experiences, Daniel Carvalho, Janet Gao, Pengfei Ma

Research Collection Lee Kong Chian School Of Business

We provide evidence that changes in lender optimism can lead to excessive fluctuations in credit spreads across the credit cycle. Using data on the real estate properties of loan officers originating large corporate loans, we find that credit spreads overreact to sophisticated lenders' recent local economic experiences, captured by local housing price growth. These effects are only present when borrowers own real estate assets and during times of greater uncertainty about real estate values, i.e., boom-and-bust cycles in housing prices. Our analysis suggests that recent personal experiences shape sophisticated lenders' beliefs about real estate values, which affect their pricing decisions.

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Strategic Financial Management Part Iii: Debt Maturity And Priority And Corporate Liquidity, Fangjian Fu, Clifford W. Smith Mar 2023

Strategic Financial Management Part Iii: Debt Maturity And Priority And Corporate Liquidity, Fangjian Fu, Clifford W. Smith

Research Collection Lee Kong Chian School Of Business

This is the third in our series ofJACFarticles that explores thecorporate motives for and consequences of seasoned equity offer-ings (SEOs) by U.S. public companies over the past 50 years. Likeits two predecessors, this article begins by examining each of thethree standard theories (or “models”) of corporate capital structureand financing policy that continue to receive serious considerationin academic discussions: (1) the Tradeoff Model;(2)thePeckingOrder Model, and (3) theMarket Timing Model.Aswealsobeganby noting in our two previous articles, each of these three modelshas implications that do not fit comfortably with the findings ofour analysis of over 8500 SEOs by U.S. companies between 1970and 2019.

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Forecasting Airport Transfer Passenger Flow Using Realtime Data And Machine Learning, Xiaojia Guo, Yael Grushka-Cockayne, Bert De Reyck Mar 2023

Forecasting Airport Transfer Passenger Flow Using Realtime Data And Machine Learning, Xiaojia Guo, Yael Grushka-Cockayne, Bert De Reyck

Research Collection Lee Kong Chian School Of Business

Problem definition: In collaboration with Heathrow airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces quantile forecasts for the number of passengers arriving at the immigration and security areas. Academic/Practical relevance: Airports and airlines have been challenged to improve decision-making by producing accurate forecasts in real time. Our work is the first to apply machine learning for predicting real-time quantile forecasts in the airport. We focus on passengers’ connecting journeys, which have only been studied by few researchers. Better forecasts of …

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Multiple, Speeded Assessments Under Scrutiny: Underlying Theory, Design Considerations, Reliability, And Validity, Christoph N. Herde, Filip Lievens Mar 2023

Multiple, Speeded Assessments Under Scrutiny: Underlying Theory, Design Considerations, Reliability, And Validity, Christoph N. Herde, Filip Lievens

Research Collection Lee Kong Chian School Of Business

Recently, multiple, speeded assessments (e.g., “speeded” or “flash” role-plays) have made rapid inroads into the selection domain. So far, however, the conceptual underpinning and empirical evidence related to these short, fast-paced assessment approaches has been lacking. This raises questions whether these speeded assessments can serve as reliable and valid indicators of future performance. This paper uses the notions of stimulus and response domain sampling to conceptualize multiple, speeded behavioral job simulations as a hybrid of established simulation-based selection methods. Next, we draw upon the thin slices of behavior paradigm to theorize about the quality of ratings made in multiple, speeded …

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Relative Power And Interpersonal Trust, Christilene Du Plessis, My Hoang Bao Nguyen, Trevor A. Foulk, Michael Schaerer Mar 2023

Relative Power And Interpersonal Trust, Christilene Du Plessis, My Hoang Bao Nguyen, Trevor A. Foulk, Michael Schaerer

Research Collection Lee Kong Chian School Of Business

Because trust is essential in the development and maintenance of well-functioning relationships, scholars across numerous scientific disciplines have sought to determine what causes people to trust others. Power dynamics are known to predict trust, but research on the relationship between power and trust is inconclusive, with mixed results and without systematic consideration of how the relative power distribution within dyadic relationships may influence trust in those relationships. Building on interdependence theory, we propose that both individuals in an unequal-power dyad trust each other less than individuals in an equal-power dyad because unequal-power dyads heighten the perception of a conflict of …

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An Inertial Triple-Projection Algorithm For Solving The Split Feasibility Problems, Yazheng Dang, Marcus Ang, Jie Sun Mar 2023

An Inertial Triple-Projection Algorithm For Solving The Split Feasibility Problems, Yazheng Dang, Marcus Ang, Jie Sun

Research Collection Lee Kong Chian School Of Business

This paper proposes a new inertial triple-projection algorithm for solving the split feasibility problem (SFP).The process of projections is divided into three parts. Each part adopts a different variable stepsize to obtain its projection point, which is different from the existing extragradient methods. Flexible rules are employed for selecting the stepsizes and the inertial technique is used for improving the convergence. Convergence results are proven. Numerical experiments show that the proposed method converges more quickly than the general CQ algorithm.

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Asymmetric Information Of Product Authenticity On C2c E-Commerce Platforms: How Can Inspection Services Help?, Linqiu Li, Xin Fang, Yun Fong Lim Mar 2023

Asymmetric Information Of Product Authenticity On C2c E-Commerce Platforms: How Can Inspection Services Help?, Linqiu Li, Xin Fang, Yun Fong Lim

Research Collection Lee Kong Chian School Of Business

Problem definition: We consider a customer-to-customer (C2C) platform that provides an inspection service. Uncertain about his product’s authenticity, a seller sells his product through the platform. Before purchasing, a buyer obtains a signal of the product authenticity from the product’s price set by the seller. The platform’s inspection service can detect a counterfeit with a probability. If the product passes the inspection, the platform sends it to the buyer and charges the seller a commission fee. Otherwise, the platform returns it to the seller and charges the seller a penalty fee. Methodology/results: We develop a two-stage game-theoretical model. In the …

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Impacts Of Distributive Comparison Behavior On Corporate Social Responsibility In Supply Chains: The Role Of Small Firms, Mingzheng Wang, Xin Fang, Zizhuo Wang, Ying-Ju Chen Mar 2023

Impacts Of Distributive Comparison Behavior On Corporate Social Responsibility In Supply Chains: The Role Of Small Firms, Mingzheng Wang, Xin Fang, Zizhuo Wang, Ying-Ju Chen

Research Collection Lee Kong Chian School Of Business

Problem definition: In this paper, we explore how a firm’s concern about profit distribution and the size of downstream firms in supply chains affect corporate social responsibility (CSR) investment strategy. Methodology/results: In a supply chain consisting of one supplier and one manufacturer, both players decide whether to invest to reduce CSR violations, and they negotiate over a wholesale price. Distributive comparison behavior makes the manufacturer compare the profit with his equitable payoff, which is determined by the supplier’s profit. Advantageous (resp. disadvantageous) inequality occurs when the manufacturer’s profit is higher (resp. lower) than the manufacturer’s equitable payoff. We compare this …

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Impact Of Cosmetic Standards On Food Loss, Pascale Crama, Yangfang (Helen) Zhou, Manman Wang Mar 2023

Impact Of Cosmetic Standards On Food Loss, Pascale Crama, Yangfang (Helen) Zhou, Manman Wang

Research Collection Lee Kong Chian School Of Business

A significant portion of the food loss in agricultural supply chains occurs at the farm level and has been linked to high cosmetic standards adopted by retailers regarding the size, color, and shape of the produce. We examine the economic incentives for retailers to adopt such high standards and their impact on food loss. We build a sequential game between a retailer and a farmer, where the retailer signs a contract with the farmer specifying both the wholesale price and cosmetic quality standard. Setting a high standard allows the retailer to sell the products at a price premium but increases …

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A Review On Derivative Hedging Using Reinforcement Learning, Peng Liu Mar 2023

A Review On Derivative Hedging Using Reinforcement Learning, Peng Liu

Research Collection Lee Kong Chian School Of Business

Hedging is a common trading activity to manage the risk of engaging in transactions that involve derivatives such as options. Perfect and timely hedging, however, is an impossible task in the real market that characterizes discrete-time transactions with costs. Recent years have witnessed reinforcement learning (RL) in formulating optimal hedging strategies. Specifically, different RL algorithms have been applied to learn the optimal offsetting position based on market conditions, offering an automatic risk management solution that proposes optimal hedging strategies while catering to both market dynamics and restrictions. In this article, the author provides a comprehensive review of the use of …

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What Is The Entrepreneurship Process For Communication Design Enterprises?, Con Kennedy Mar 2023

What Is The Entrepreneurship Process For Communication Design Enterprises?, Con Kennedy

Doctoral

The literature indicated that entrepreneurship plays a crucial role in economic development and that understanding what entrepreneurship is has changed with the development of society and entrepreneurship theory (Murphy et al., 2006). However, there is an identified skills deficit in understanding entrepreneurship in the communication design sector (Design Enterprise Skillnet, 2021; Department of Jobs, Enterprise and Innovation, 2016; Intertrade Ireland, 2009; Design Council, 2007; Enterprise Ireland, 1999). Nevertheless, within each of these studies, the deficit has not been addressed, nor is the entrepreneurship process for communication design enterprises established. The literature on entrepreneurship generally ignores entrepreneurship in the design sector, …

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2023-03-00 Newsletter, Morehead State University. Staff Congress. Mar 2023

2023-03-00 Newsletter, Morehead State University. Staff Congress.

Staff Congress Records

Staff Congress newsletter from March of 2023.

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Executive Summaries Mar 2023

Executive Summaries

The Foundation Review

No abstract provided.

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Editorial, Teri Behrens Mar 2023

Editorial, Teri Behrens

The Foundation Review

No abstract provided.

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Front Matter Mar 2023

Front Matter

The Foundation Review

No abstract provided.

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Evaluating Evaluation Policy In The X Foundation, Peter Dahler-Larsen Mar 2023

Evaluating Evaluation Policy In The X Foundation, Peter Dahler-Larsen

The Foundation Review

Evaluation policies, which are becoming increasingly important for philanthropic foundations, communicate internally and externally about how evaluations are planned, designed, and managed. An evaluation policy also prescribes how the use of evaluation systematically reflects the mission and role of a foundation. Not much is known, however, about how evaluation policies are developed and changed in practice. Few, if any, foundations have published an evaluation of their evaluation policy. This article, written by an external evaluator, describes how an evaluation policy was developed at a Danish grantmaker committed to supporting innovative methods in human services. Using this foundation as an example, …

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Back Matter Mar 2023

Back Matter

The Foundation Review

No abstract provided.

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Achieving Sustainability In Community Health Initiatives: Follow The Money, Jo Z. Carcedo, Jessica Pugil, Shao-Chee Sim, Bret Sinclair Mar 2023

Achieving Sustainability In Community Health Initiatives: Follow The Money, Jo Z. Carcedo, Jessica Pugil, Shao-Chee Sim, Bret Sinclair

The Foundation Review

The U.S. health system’s “sick care” model — as designed — currently spends $4.3 trillion annually to treat its people once they become ill, yet it has done little to meaningfully advance their health and well-being. In fact, research consistently demonstrates that socio-environmental factors and individual behaviors — the social determinants of health — have a far greater impact on health outcomes. Responding to this research, in 2017 the Episcopal Health Foundation launched the Texas Community-Centered Health Home Initiative. The $10 million, multiyear investment was a proactive, developmental effort to build the capacity of community-based clinics to go beyond clinical …

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Building Skills And Collaboration For College Success: Lessons From The Detroit College Success Professional Learning Community For Youth Development Professionals, Sara Plachta Elliott, Sarah Szurpicki, Onjila Odeneal, Megan Fenkell Mar 2023

Building Skills And Collaboration For College Success: Lessons From The Detroit College Success Professional Learning Community For Youth Development Professionals, Sara Plachta Elliott, Sarah Szurpicki, Onjila Odeneal, Megan Fenkell

The Foundation Review

From 2018 through 2020, the Jamie and Denise Jacob Family Foundation made grants to 17 youth development organizations in Detroit that were at varying levels of readiness to advance college success outcomes with their program alumni. At the same time, it was funding three collaborating capacity-building organizations to structure and facilitate a professional learning community that would support the youth programs in improving outcomes for “striving students” — young people who are less likely to graduate college because they come from families or communities with less access to opportunity and resources. In total, 17 YDOs and four schools participated in …

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Tfr 15.1 Full Issue Mar 2023

Tfr 15.1 Full Issue

The Foundation Review

No abstract provided.

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Theory Of A Philanthropic Alliance: The Case Of The Global Alliance For The Future Of Food, Michael Quinn Patton, Ruth Richardson Mar 2023

Theory Of A Philanthropic Alliance: The Case Of The Global Alliance For The Future Of Food, Michael Quinn Patton, Ruth Richardson

The Foundation Review

Different kinds of action entities need different theoretical frameworks. A theory of change hypothesizes how an intervention is expected to achieve desired impacts in the world. A theory of philanthropy articulates a foundation’s role in supporting specific kinds of theories of change. This article extends that analysis to a theory of philanthropic alliance, which explains and hypothesizes how several foundations working together can have greater collective impact than they could working separately. A theory of philanthropy will be contrasted with a theory of philanthropic alliance, using the Global Alliance for the Future of Food to illustrate and illuminate the distinction …

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Place-Based Initiatives By National Funders: Reflections From A Recovering Place-Based Funder, Karl Stauber Mar 2023

Place-Based Initiatives By National Funders: Reflections From A Recovering Place-Based Funder, Karl Stauber

The Foundation Review

Much of central Appalachia has experienced an outflow of people, skills, and capital and as a consequence has been one of the models for community failure going back for over a century. But there are growing numbers of people and organizations that do not accept this fate as inevitable. Using a developmental approach called place-based funding, supported by national and regional foundations and led by community groups and innovative practitioners located in and near the region, the Appalachian Investment Ecosystem Initiative is helping communities build a new way forward. Designed to accelerate investments in rural communities, this joint venture by …

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2023-03-01 Librarian Faculty Status Proposal, Morehead State University. Faculty Senate. Mar 2023

2023-03-01 Librarian Faculty Status Proposal, Morehead State University. Faculty Senate.

Faculty Senate Records

A revised proposal for formal university-wide recognition for library faculty status submitted to the Faculty Senate on March 1, 2023.

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2023-03-01 Supporting Documentation For The Proposal To Revise Pac-31, Morehead State University. Faculty Senate. Mar 2023

2023-03-01 Supporting Documentation For The Proposal To Revise Pac-31, Morehead State University. Faculty Senate.

Faculty Senate Records

No abstract provided.

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Attention-Based Data Analytic Models For Traffic Flow Predictions, Kaushal Kumar, Yupeng Wei Mar 2023

Attention-Based Data Analytic Models For Traffic Flow Predictions, Kaushal Kumar, Yupeng Wei

Mineta Transportation Institute

Traffic congestion causes Americans to lose millions of hours and dollars each year. In fact, 1.9 billion gallons of fuel are wasted each year due to traffic congestion, and each hour stuck in traffic costs about $21 in wasted time and fuel. The traffic congestion can be caused by various factors, such as bottlenecks, traffic incidents, bad weather, work zones, poor traffic signal timing, and special events. One key step to addressing traffic congestion and identifying its root cause is an accurate prediction of traffic flow. Accurate traffic flow prediction is also important for the successful deployment of smart transportation …

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Automatic Identification Of Crash-Inducing Smart Contracts, Chao Ni, Cong Tian, Kaiwen Yang, David Lo, Jiachi Chen, Xiaohu Yang Mar 2023

Automatic Identification Of Crash-Inducing Smart Contracts, Chao Ni, Cong Tian, Kaiwen Yang, David Lo, Jiachi Chen, Xiaohu Yang

Research Collection School Of Computing and Information Systems

Smart contract, a special software code running on and resided in the blockchain, enlarges the general application of blockchain and exchanges assets without dependence of external parties. With blockchain's characteristic of immutability, they cannot be modified once deployed. Thus, the contract and the records are persisted on the blockchain forever, including failed transactions that are caused by runtime errors and result in the waste of computation, storage, and fees. In this paper, we refer to smart contracts which will cause runtime errors as crash-inducing smart contracts. However, automatic identification of crash-inducing smart contracts is limited investigated in the literature. The …

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Prudex-Compass: Towards Systematic Evaluation Of Reinforcement Learning In Financial Markets, Shuo Sun, Molei Qin, Xinrun Wang, Bo An Mar 2023

Prudex-Compass: Towards Systematic Evaluation Of Reinforcement Learning In Financial Markets, Shuo Sun, Molei Qin, Xinrun Wang, Bo An

Research Collection School Of Computing and Information Systems

The financial markets, which involve more than $90 trillion market capitals, attract the attention of innumerable investors around the world. Recently, reinforcement learning in financial markets (FinRL) has emerged as a promising direction to train agents for making profitable investment decisions. However, the evaluation of most FinRL methods only focuses on profit-related measures and ignores many critical axes, which are far from satisfactory for financial practitioners to deploy these methods into real-world financial markets. Therefore, we introduce PRUDEX-Compass, which has 6 axes, i.e., Profitability, Risk-control, Universality, Diversity, rEliability, and eXplainability, with a total of 17 measures for a systematic evaluation. …

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