Investment planning under uncertainty and flexibility: the case of a purchasable sales contract*

Investment decisions are not only characterised by irreversibility and uncertainty but also by flexibility with regard to the timing of the investment. This paper describes how stochastic simulation can be successfully integrated into a backward recursive programming approach in the context of flexible investment planning. We apply this hybrid approach to a marketing question from primary production which can be viewed as an investment problem: should grain farmers purchase sales contracts which guarantee fixed product prices over the next 10 years? The model results support the conclusion from dynamic investment theory that it is essential to take simultaneously account of uncertainty and flexibility.     

Socio-economic developmental strategies as retail performance indicators: A balanced scorecard approach

This research analyses the commitment to and use of ‘balanced scorecards’ by retailers in generating sustainable profitability, whilst contributing to socio-economic development in South Africa. An international literature review of scorecard frameworks, plans and reports by major retail companies and semi-structured dialogic interviews with a purposive sample of retail business stakeholders and government officials formed the methodology. By contrasting the literature and empirical insights, a summary of findings was generated, which conclude that most retailer scorecards (formal or informal) seek to balance financial with ‘cause-related marketing’ targets, but implementation differs according to factors such as company size, developmental maturity and managerial competence. Furthermore, collaboration between retailers and state institutions in scorecard management is not a reality, as has been achieved in other industries. It is therefore recommended that a Retail Charter scorecard framework be considered, to promote public/private-sector knowledge-sharing and socio-economic development.     

“Linguistic Distance” as a Determinant of Bilateral Trade

We introduce a measure of language difficulty called “linguistic distance” into a modified gravity model to determine whether a language being further away from English affects the level of trade. Our sample of 36 non-English-speaking countries includes Japan and South Korea, which we argue are special cases because of World War II, the Korean War, and subsequent close political and economic ties with the United States. Presence of a stock of immigrants in the home country has been shown to enhance trade with the country of origin. Controlling for immigrant network and information attributes, the special relationship with Japan and Korea, and the standard gravity model variables, we find that trade will be less between the United States and a country the further that country's language is from English. These results hold for aggregate exports and imports and for exports and imports of consumer and producer manufactures.     

The out-of-region bias: Distance estimations based on geographic category membership

This research addresses estimations of distance, an important factor in numerous consumer decisions (e.g., store choice, willingness to pay for travel). Our central hypothesis is that when two places are located in the same geographic category, individuals estimate them to be closer to each other than when they are located in different categories, a bias we term ??the out-of-region bias.?? In study 1, we demonstrate that participants are more willing to visit a store located in the city in which they live rather than a store located in a neighboring city because they mistakenly think that a store in their city is closer to home. In studies 2a and b, we show that the out-of-region bias leads consumers to express higher willingness to pay for an airline ticket that involves travel across versus within regions because they inaccurately estimate greater distance between cities that are located in different regions (vs. the same region). Study 2a also demonstrates that the out-of-region bias is ameliorated in the presence of a map, indicating that the bias is a conceptual (vs. perceptual) bias, and study 2b rules out an alternative explanation for our results based on consumers?? tendency to exaggerate north?Csouth distances.     

The New Deal and Modern Memory

The “Great Recession,” which began at year‐end 2007, was precipitated by plunging real estate values, followed by borrower defaults and financial crisis for the public and private institutions that supplied loanable funds to the mortgage market. With economic growth not yet returned to trend, three years on more than 9% of the American labor force remains unemployed. Current macroeconomic events, perhaps inevitably, have been compared to those of the Great Depression of 1929–1933, both in terms of severity and of the efficacy of the public policies adopted ostensibly to restore prosperity. In this article, I review the literature on the New Deal, paying particular attention to modern scholarship emphasizing the role of presidential politics and antibusiness political rhetoric in deepening and prolonging the Great Depression. The parallels between then and now suggest that the two economic contractions had similar causes and elicited equally counterproductive policy responses.     

Situational and trait interactions among goal orientations

Regulatory focus theory has been used to describe and explain a wide range of consumer responses. This goal orientation has been examined both as a chronic difference and a situational variable. Yet, it is unclear how a situational manipulation interacts with the individual??s chronic goal orientation. The present research investigates the potential for interactions and suggests that typical outcomes of regulatory focus are likely to emerge more clearly under circumstances in which promotion focus is manipulated. The studies demonstrate asymmetric effects in the interactions of chronic and situational manipulations of regulatory focus using different manipulations and outcome variables. The implications of these findings are significant for any research involving the manipulation of variables that can also be considered as chronic tendencies.     

Improving Software Flexibility for Business Process Changes

In times of continuous change, companies need to adjust their business processes to gain sustainable competitive advantage. Resulting changes in the company’s IT currently require the involvement of developers from departments that are mostly not aligned with the business. These changes often result in high transaction and labor costs. The article presents a platform-based method to adjust business processes with the aim of increasing both efficiency and flexibility compared to current approaches. The core of our work is an evaluation against traditional component-based software development using a sound simulation model. Three real-world scenarios of business process change show that – despite a slight increase in transaction costs – our suggested method decreases labor costs while increasing operational flexibility.