Optimizing the credit term decisions in supply chain finance

We study a credit term determination problem in the context of a supplier-buyer supply chain. The supplier's credit term decision is simultaneously made with its production and inventory decisions, and most importantly, it is impacted by the buyer's order quantity. We present a new game-theoretic framework to model this problem, which captures the interaction between the supplier's credit term decision and the buyer's order decision in a multi-period setting. An exact method based on nonlinear programming is implemented to obtain the optimal solutions. We apply our methodologies on a real world case. The computational results show that our approach significantly outperforms the heuristics with fixed credit terms, and either a short or a long credit term can be sub-optimal for the supplier in profitability. Our work offers the first data-driven model and solution approach that assists purchasing and supply managers to make optimal dynamic credit term decision in conjunction with production, ordering and inventory decisions in a game-theoretic setting.     

Distribution of residual autocorrelations for multiplicative seasonal ARMA models with uncorrelated but nonindependent error terms

In this paper, we consider portmanteau tests for testing the adequacy of multiplicative seasonal autoregressive moving‐average models under the assumption that the errors are uncorrelated but not necessarily independent. We relax the standard independence assumption on the error terms in order to extend the range of applications of the seasonal autoregressive moving‐average models. We study the asymptotic distributions of residual and normalized residual empirical autocovariances and autocorrelations under weak assumptions on noise. We establish the asymptotic behavior of the proposed statistics. A set of Monte Carlo experiments and an application to monthly mean total sunspot number are presented.     

New Geographies of Residential Capitalism: Financialization of the Turkish Housing Market Since the Early 2000s

The post‐2001 financial crisis era in Turkey gave rise to twin booms in housing construction and credit markets, both of which suffered from the subsequent debt crisis. The financial transformation of the economy in conjunction with state‐led urban legislation reform had significant effects on the housing market in terms of commodification of housing, countrywide construction activities and substantial increases in household debt and construction company loans. The changing role and function of the state as a direct provider of housing can be regarded as actually existing neoliberalism providing favourable conditions for financialization, as it ushered in the commodification of housing. The Turkish government, together with the government‐backed housing agency, metropolitan municipalities and publicly owned real‐estate investment company, has been active in nationwide housing construction and urban regeneration projects. This article argues that there is a lack of synchrony between the commodification of housing and the financialization of the household sector owing to the institutional setting of the mortgage system and structural macroeconomic problems. Rather, housing commodification has been accompanied by the financialization of the corporate sector through a steep rise in the external debt burden of construction companies.     

Brighter prospects? Assessing the franchise advantage using census data

This paper uses Census microdata to examine how starting a business as a franchise rather than an independent business affects its survival and growth prospects. We assess factors that influence the decision to become a franchisee and use various empirical approaches to correct for selection bias in our performance analyses. We find that franchised businesses on average exhibit higher survival rates than independent businesses; but importantly, the difference is small compared with claims in the trade press. The effect is also short lived: conditional on surviving a year or two, we no longer find survival (or growth) differences. We then explore two potential sources for this small survival advantage, namely franchisors’ screening process and the benefits arising from the brand and business know‐how provided by franchisors. We find evidence that both of the sources contribute to the franchising advantage.     

The economics of markets and platforms

Advances in the study of both markets and platforms contribute to economics. Platforms are typically digital markets, although platforms can designate markets generally. So, the economics of markets and the economics of platforms are one and the same. Platforms show the critical role of intermediaries in endogenous price adjustment and market clearing. The platform model remedies problems with general equilibrium analysis by combining and extending the basic Walrasian and Marshalian market models. The analysis of platforms provides explanations for the bid–ask spread, including market power, search costs, matching costs, adverse selection, and moral hazard. The study of platforms demonstrates the importance of participation and coordination in the formation of markets. The discussion emphasizes that platforms have significant implications for the theory of the firm. The analysis further considers how platforms affect innovation and entrepreneurship.     

When the going gets tough: the influence of expatriate resilience and perceived organizational inclusion climate on work adjustment and turnover intentions

Abstract

Despite the strong evidence for the beneficial influence of resilience for employee stress resistance in domestic settings, the construct has not received much attention in the expatriation literature, where stress is considered a major factor for expatriates’ poor cross-cultural adjustment and turnover. Drawing upon conservation of resources theory, the present study examines resilience as an antecedent of expatriate work adjustment and turnover intentions. Furthermore, this study investigates the moderating role of perceived organizational inclusion climate as a resource-protecting organizational factor. Results from a survey of 175 expatriates in South Korea indicate that resilience is positively related to expatriate work adjustment and that these positive effects are more pronounced when expatriates perceive their organizational climate to be highly inclusive. Furthermore, findings suggest that work adjustment mediates the effects of resilience on turnover intentions and that this mediation is moderated by a perceived organizational inclusion climate. Implications for theory and practice are discussed.     

Knowledge integration via the fusion of the data models used in automotive production systems

ABSTRACT

In this paper a novel information model that can be used in Manufacturing Execution Systems is presented. The model is based on the fusion of ISA95, AML and OPC UA. ISA95 is used to define, unify and describe the details of a product and production technology. It also enables communication with ERP systems. The AML standard allows information about the production facilities to be presented. The OPC UA address space represents different parts of an information model while the OPC communication protocol enables it to be linked to actual production systems. The proposed concept is illustrated using an actual example of a production line for electronic devices.     

Heteroskedasticity-consistent covariance matrix estimators for spatial autoregressive models

In the presence of heteroskedasticity, conventional test statistics based on the ordinary least squares (OLS) estimator lead to incorrect inference results for the linear regression model. Given that heteroskedasticity is common in cross-sectional data, the test statistics based on various forms of heteroskedasticity-consistent covariance matrices (HCCMs) have been developed in the literature. In contrast to the standard linear regression model, heteroskedasticity is a more serious problem for spatial econometric models, generally causing inconsistent extremum estimators of model coefficients. This paper investigates the finite sample properties of the heteroskedasticity-robust generalized method of moments estimator (RGMME) for a spatial econometric model with an unknown form of heteroskedasticity. In particular, it develops various HCCM-type corrections to improve the finite sample properties of the RGMME and the conventional Wald test. The Monte Carlo results indicate that the HCCM-type corrections can produce more accurate results for inference on model parameters and the impact effects estimates in small samples.     

Challenges for regional science research: past and present

With regional science now into its seventh decade, it is timely to step back and look at what regional science is about, the past challenges it has faced, particularly its relevance, and to identify some of the challenges it has confronted in the past and at present. The paper demonstrates regional science research has had, and continues to have, policy relevance, as well as being relevant for business, and has addressed important issues. It provides an overview of recent commentaries on issues regional scientists might now be addressing.     

论企业相关者利益最大化的财务管理目标

进入20世纪80年代以后,随着经济全球化的发展以及企业间竞争的日趋激烈,人们逐渐意识到公司应该为所有利益相关者的利益服务,而不应该仅仅是股东的利益服务,利益相关者可以根据其资产的多少和它们所承担的风险来获得企业对其利益的保护,这样利益相关者参与公司治理、分享公司利益也就理所应当。