A Case-Based Reasoning System for Indirect Bank Lending

By implementing case-based reasoning (CBR) systems, business organizations can utilize past cases—a key data resource—for future decision making. CBR is particularly suitable for business domains that have available a large amount of historical data. One such domain is indirect bank lending. In this paper, we present a case-based system that operates in the bank lending domain. The system recommends whether an indirect loan application should be approved or denied, based on past experiences. We describe how the system was developed and explain how the system functions. The system was empirically evaluated using actual loan cases. The positive results of the evaluation confirm our hypothesis that CBR is an attractive decision-making methodology for the bank lending domain.     

The adoption of radical manufacturing technologies and firm survival

The emergence of dramatically innovative, or radical, new manufacturing technologies can force pivotal and life‐threatening decisions for industry competitors. These technologies can represent a huge cost for adopting firms, but may also offer the chance to achieve competitive advantage through superior manufacturing. While prior research has considered a range of production process decisions (e.g., JIT, mass customization) and outcomes for end‐product technologies, little attention has been given to adoption decisions relative to core manufacturing technologies. This study examines an industry's adoption of major manufacturing technologies over several decades and demonstrates that two groups of contingencies related to adoption (e.g., timing and cumulative effects) have a significant impact on firm performance. Based on a sample of over 1,000 firms, the results provide insights into the effects of adoption timing and ‘manufacturing technology bundles’ on firm survival. We also find that adoption of manufacturing technologies prior to the inflection point of the estimated Bass diffusion curve for each technology leads to significant reduction in firm mortality. Thus, we are able to demonstrate the ability of the Bass model to predict the survival outcomes of firms facing manufacturing technology adoption decisions. The strategic implications of these pivotal decisions are considered. Copyright © 2008 John Wiley & Sons, Ltd.     

Differentiating Between Dimensionality and Duration in Multidimensional Measures of Poverty: Methodology with an Application to China

We develop a multidimensional poverty measure that is sensitive to the within‐individual distribution of deprivations across dimensions and time. Our measure combines features from a static multidimensional measure (Alkire and Foster, 2011a ) and a time‐dependent unidimensional measure (Foster, 2009 ). The proposed measure separately identifies—and can therefore be decomposed according to—the proportion of the poverty score attributable to: (i) the concentration of deprivations within periods; (ii) the concentration of deprivations within dimensions. In doing so it allows for a poverty ranking that is robust to assumptions about the trade‐off between the two components. Previous measures have not allowed for the features proposed here due to the inability to calculate the exact contribution of each dimension to overall poverty. We overcome this by adapting to our measure the Shapley decomposition proposed in Shorrocks ( 2013 ) (based on Shapley, 1953 ). The measure is applied to data from China, 2000‐2011.     

Can We Meaningfully Speak of Changes in Price under the Regime of Changes in Techniques?

Abstract

This paper presents a simulation exercise on Sraffa's system under various types of technical changes to show that the direction of changes in prices of commodities is contingent on the choice of the numeraire. Thus, such a comparison of prices in two systems turns out to be meaningless. This result points to the arbitrary nature of the neoclassical supply functions, as they inevitably compare prices across several Sraffa systems on the basis of an arbitrarily chosen numeraire. We anticipated such a result from our reading of Sraffa as part of his ‘prelude to a critique of economic theory’.     

On the robustness of alternative rankings methodologies: Australian and New Zealand economics departments, 1988 to 2002

Theoretical considerations appear to support the conjecture that stock returns are positively related to growth in the long run. However, the empirical literature does not give unanimous support to the theory. Based on a stochastic general equilibrium model it is argued that the long-run relationship between stock returns and per capita income growth is ambiguous and depends on output volatility. Using a century of data for 20 Organization for Economic Co-operation and Development (OECD) countries it is shown that the relationship between stock returns and growth is positive over the period 1916–1951, in which output volatility was persistent. Outside this period no relationship between stock returns and growth is found. These findings are consistent with the predictions of the theoretical model.     

Why money meanings matter in decisions to donate time and money

Most charitable organizations cannot accomplish their missions without asking for money. This is paradoxical because recent research suggests that mentioning money primes a self-sufficient mindset, thus undermining the very behaviors these organizations desire to elicit. We offer an important qualification to this problematic effect. We find that priming cash concepts reduces willingness to help others, while activating credit card concepts reverses these effects. To explain our findings, in three studies we show that priming cash concepts makes costs associated with donating time or money more salient in the decision context, thereby reducing willingness to give help and to receive it. However, priming credit card concepts makes the benefits of donation more salient.     

Are firms with state ownership greener? An institutional complexity view

This study investigates the role of state ownership in green innovation from the institutional complexity viewpoint. We posit that state ownership can be characterised by two seemingly competing logics: institutional logic, which emphasises that firms with state ownership can acquire resources to promote innovation; and efficiency logic, which states that firms with state ownership have low resource utilisation effectiveness. On the basis of the integration of both views, we suggest a U‐shaped curvilinear relationship between state ownership and green innovation. Data from Chinese listed firms from 2003 to 2015 confirm our hypothesis. Moreover, we also find two macro‐level contingencies that moderate this relationship: regional innovation readiness and industrial competition. The U‐shaped relationship between state ownership and green innovation is more pronounced when regional innovation readiness and industrial competition are higher. This study advances previous research on environmental innovation by arguing that state ownership is characterised by institutional complexity rather than being a monolithic construct.     

Customization of the online purchase process in electronic retailing and customer satisfaction: An online field study

This paper investigates the customization of the online purchase process in electronic retailing. We conceptualize customization relevant to the two constituent sub-processes in the online purchase process: (i) decision customization—the customization of the information content delivered to customers to help them in the decision-making sub-process; and (ii) transaction customization—the customization of the purchase transaction sub-process for each customer. We draw on and synthesize the theoretical perspectives of Website Usability, Technology Acceptance Model, and Transaction Costs, to triangulate and deduce hypotheses linking customization of the online purchase process in electronic retailing and customer satisfaction. The hypotheses are tested by analyzing: (i) primary data on customization of the online purchase process collected from an online field study involving a direct observation and content analysis of the websites of 422 retailers; and (ii) secondary data on customer satisfaction with the online purchase process for the same set of 422 electronic retailers collected from a publicly available data source. The research method used for the empirical analysis is Multivariate Analyses of Covariance (MANCOVA). The results indicate that decision customization that provides choice assistance by way of personalized product recommendations is positively associated with customer satisfaction with the decision-making sub-process; and transaction customization, oriented towards making the transaction sub-process personal, convenient, and interactive is positively associated with customer satisfaction with the purchase transaction sub-process. Additionally, the results indicate that both decision customization and transaction customization are associated with overall customer satisfaction with the online purchase process of electronic retailers. The contributions, managerial implications, and limitations of the study, and directions for future research are discussed.