Predicting credit card delinquencies: An application of deep neural networks

The objective of this paper is twofold. First, it develops a prediction system to help the credit card issuer model the credit card delinquency risk. Second, it seeks to explore the potential of deep learning (also called a deep neural network), an emerging artificial intelligence technology, in the credit risk domain. With real-life credit card data linked to 711,397 credit card holders from a large bank in Brazil, this study develops a deep neural network to evaluate the risk of credit card delinquency based on the client's personal characteristics and the spending behaviours. Compared with machine-learning algorithms of logistic regression, naive Bayes, traditional artificial neural networks, and decision trees, deep neural networks have a better overall predictive performance with the highest F scores and area under the receiver operating characteristic curve. The successful application of deep learning implies that artificial intelligence has great potential to support and automate credit risk assessment for financial institutions and credit bureaus.     

The innovative bureaucrat: evidence from the correctional authorities in Washington State

Bureaucracies are usually regarded as inefficient, wasteful mechanisms. Contrary to this deeply rooted perception of bureaucracy, this paper documents the case of the correctional authorities in Washington State, a bureaucracy that acted with a considerable degree of innovation and professionalism. Their task was to administer a risk assessment instrument that measured the level of risk posed by offenders by way of a numerical score. They used that score to identify the level of supervision offenders were to receive once released into the community. In analyzing the data, I discovered an unusual application of the instrument that resulted in many offenders being bumped to a higher supervision level. Using a regression discontinuity design, I uncover the mechanics of the bumping-up process and I generate an instrument that is cleansed of the manipulation. I find that the manipulated instrument predicts serious recidivism events better than the cleansed instrument, especially when these events involve high-risk offenders, thus providing evidence that the authorities had good reason to undertake the manipulation.     

Teamwork skill assessment: Development of a measure for academia

Popular teamwork assessments have been strongly criticized on the grounds of poor psychometric properties and their disconnect with conceptual models of teamwork. These issues raise concerns with respect to our ability to evaluate efforts devoted to advancing teamwork in academia. We report the development of a teamwork assessment that builds on empirically supported conceptualizations of team processes. Two studies were conducted to test and to cross-validate the psychometrics of the resulting measure. In the discussion section, we address the implications of our findings for conceptual models of teamwork and provide guidelines for using the measure in business education.     

Institutional quality and corporate financing decisions around the world

We investigate the influence of the recent comprehensive institutional quality dimensions of Karolyi (2015), such as market capacity, operational efficiency, foreign accessibility, corporate transparency, legal protection, and political stability, on financing decisions of firms across 56 countries between 2000 and 2015. We find that stronger institutional quality or lower fundamental risks in a country ease firms' access to long-term debt, and equity financing. We attribute our results to institutional environments influencing financing decisions by shaping the severity of market frictions, such as agency conflicts and information asymmetry, and transaction costs. As a result, we conclude that any improvement in a country's institutional environment will boost firms' access to long-term financing, and thus longer-term investments that promote countries' economic growth will be more feasible. Our findings are robust to potential endogeneity issues.     

我国银行衍生产品体系发展的问题与对策研究

我国银行衍生产品体系是银行业重要的体系之一。通过我国期货交易细则、期权市场交易额等相关信息及数据的搜集,并将数据进行趋势化分析,从而对我国银行衍生产品体系的发展特点和问题进行研究,研究发现:我国银行衍生产品体系具有法律规范体系初步完善、风险评估体系国际化、衍生品市场发展迅猛等发展特点,但存在衍生品市场缺乏市场竞争力、不适应政策变化、不能自主定价等问题,提出了建立信息明确有序的交易体系、增强竞争力争取定价权益等建议。     

Exploring the effect of buyer engagement on green product innovation: Empirical evidence from manufacturers

In this study, we are interested in how export firms organize knowledge management and increase product innovation performance. Prior studies have concluded that knowledge transfer from external actors leads to operational performance outcomes; others have questioned the positive influence of buyer-driven knowledge transfer activities on innovation performance. Drawing on absorptive capacity, we aim to offer a better understanding, how export firms as recipients of knowledge resources, organize their internal capabilities in order to realize firm-level product innovation. This empirical study examines the interplay of buyer-driven knowledge activities, resource acquisition and combining, and product innovation outcomes in the context of Pakistani export firms. Drawing on survey data from 239 export-manufacturing firms, we test hypotheses using structural equation modeling. Our findings show that buyer-driven knowledge transfer activities play a crucial role in enhancing export firms in absorbing and combining resources that lead to product innovation. The pragmatic suggestion of the research suggests that managers look closely at developing a culture of involvement with their buyers that promotes the development of knowledge resources. The results of this study have research, policy, and managerial implications.     

Impact mitigation or ecological restoration? Examining the environmental sustainability practices of multinational mining companies

This paper examines the environmental sustainability practices of multinational mining companies in addressing their impacts and promoting the sustainable development of local communities in Ghana. Although large-scale mining companies have embraced environmental sustainability, the drivers and the mechanisms for addressing their impacts throughout the mine life cycle is not fully understood because of the limited research in this area. The focus in this study involves an examination of the drivers for environmental sustainability in a weak and non-enabling institutional context and the mechanisms for addressing impacts on biodiversity, water quality and quantity, and ambient climate. The findings show that the environmental sustainability practices of multinational mining companies are determined by regulatory compliance and corporate environmental responsibility based on perceived ethical obligation. Additionally, we find gaps in mine closure planning and rehabilitation because of the limited requirement for biodiversity restoration in the domains of flora repopulation and active fauna reintroduction. This paper provides empirical and theoretical insights for academics and practitioners in industry and policymaking.     

Dynamic management of aircraft stand allocation

This paper aimed to present an original approach for solving the aircraft stand allocation (SA) problem dynamically when due to operational disturbances, the planned allocation cannot be accomplished. The proposed Multiple-criteria Dynamic Stand Allocation (MDSA) method uses fuzzy logic to support decision-making under uncertainty. The MDSA method provides effective solutions in a short time, necessary for traffic management in case of delays, emergency, and untypical cases. It considers partially conflicting points of view of different airport users (airport managers, air traffic controllers, airlines, handling agents, and passengers) and may significantly support managers on the SA problem. The approach proposed can also be used for creating an initial SA plan for a considerable number of aircraft.     

An agile marketing capability maturity framework

This work proposes a four-stage maturity framework for the development of an agile marketing capability (AMC) in the context of MICE tourism. Through an inductive study based on 16 semi-structured interviews with CEOs and managers, we provide a snapshot of organizations at varying levels of maturity in the management and development of AMC based on the degree of “sophistication” undertaken in approximately four dimensions (customer-oriented responsiveness, high flexibility, human collaboration, quick and continuous improvement). Recommendations to further enrich the debate toward this novel line of inquiry are presented. This study also has important implications for managers, offering a useful tool to assess and improve their marketing efforts to develop AMC and achieve greater abilities to adapt to dynamic and fast-changing environments.