An analytical framework for retailer price and advertising decisions for products with temperature-sensitive demand

The demand for weather-sensitive products, such as beverages, ice creams, or chocolate varies with changes in temperature. Yet, retailers lack a framework to adapt the marketing mix elements, such as price and advertising, in line with such changes. We provide a theoretical framework to fill this gap by developing an analytical model to derive the optimal marketing mix when product demand depends on temperature. The model prescribes how price and advertising for different demand characteristics should be set following a temperature change. Integrating the temperature element in the marketing mix offers an original profit-enhancing strategy.     

Foreign direct investment (FDI) determinants and spatial spillovers across Mexico's states

This article studies the location pattern of foreign direct investment (FDI) in Mexico for the period 1994–2004. An empirical model is specified based on recent FDI theories. This model is estimated using state-level data and employing spatial econometric techniques. Results suggest that higher education levels and lower delinquency rates are important determinants to attract FDI. Results also suggest a relationship of complementarity between inbound FDI to the host state and inward FDI to its neighboring states.     

Individual adoption of HR analytics: a fine grained view of the early stages leading to adoption

Abstract

High performing organizations are using analytics for evidence-based decision-making. However, the human resource (HR) function in many organizations has been slow to adopt this innovation. This study applies innovation theory, informed by the Theory of Planned Behavior (TPB), to examine the individual’s decision to adopt HR Analytics in an effort to identify why the adoption rate is lagging. We examined early stages of the individual decision process beginning from Stage 1 (knowledge) and leading to Stage 3, (the decision) to adopt or not to adopt the innovation. We found several points in the process that can act as barriers or facilitators. Organizations and champions of this innovation wishing to facilitate HR analytics adoption can take action to remove as many of these barriers to the individual’s decision as possible. Further research should focus on the best way to remove these barriers.     

Common factors in the withdrawal of European aircraft manufacturers from the regional aircraft market

The current study provides a model that aims to explain the origin of the competitive advantage of organizations in terms of the ownership structure. We have also studied the interactions between IT use and ownership structure. To reach these objectives, we have classified the organizations in two groups using the cooperative character criterion. The results show that cooperative firms achieve a superior competitive advantage regardless of the amount of IT that the firms use. The study is focused on the Spanish Pharmaceutical Distribution Industry.     

The Trouble with Harrod: The fundamental instability of the warranted rate in the light of the Sraffian Supermultiplier

The paper argues that Harrodian instability is an instance of what Hicks in his book Capital and Growth (1965) called static instability, related to the direction (and not to the intensity) of the disequilibrium adjustment process. We show why such instability obtains in demand‐led growth models in which the ratio of capacity creating private investment to output ratio is given exogenously by the aggregate marginal propensity to save. We also show that Sraffian Supermultiplier model overcomes the Harrodian instability and that its demand‐led equilibrium is statically stable. It is explained that the latter results do not follow from the presence of autonomous non‐capacity creating expenditure component as such but from its presence within a model in which investment is driven by the capital stock adjustment principle (i.e., the flexible accelerator). Finally, we argue that, although being statically stable, the equilibrium growth path of the Sraffian Supermultiplier model can be dynamically stable or unstable depending on the intensity of the reaction of investment to demand. We then provide a discrete time sufficient condition for the dynamic stability of such equilibrium that implies that the marginal propensity to invest remains lower than the marginal propensity to save during the adjustment process, a modified Keynesian stability condition.     

“Author’s Reply: Critique of Mexico’s New Social Security Act”, Octavio Maupomé-Carvantes,July, 1999

Abstract

This paper considers the pension plan as part of the capital structure of the sponsoring employer. This enables lessons from financial theory concerning capital structure to be used to answer the question, “What assets should a pension fund hold?” The standard Modigliani-Miller framework is expanded on to consider the implications of corporate tax. This leads to the conclusion that bond investment for pension plans has tangible advantages over holding risky assets (e.g., equities). The paper considers a case study of the pension plan of the Boots Company, a U.K. pharmacy retailer with a pension fund of around £2.3 billion ($3.5 billion), where these ideas were put into practice. Finally, the paper discusses the value released to shareholders and the extra security members of the pension fund have derived from putting theory into practice.     

Determinants of Urban Vacant Land

It is a planners’ common argument that one of the main sources of vacant land is developers’ speculation. Consequently, in order to reduce vacant land, it is also a common policy to charge extra taxes to this kind of lots as a way to force development. Using a rich data base from Santiago, Chile, this paper investigates on the determinants of urban vacant land. We find that amongst the most important elements driving unused sites in Santiago are public regulations. Hence, practitioners must be aware about this issue before implement a policy to reduce vacant land because it could have the opposite result.     

Efficient Estimation of Agricultural Time Series Models with Nonnormal Dependent Variables

This article proposes using an expanded form of the Johnson S_U family as a way to approximate nonnormal distributions in regression models. The distribution is one of the few that allows modeling heteroskedasticity and autocorrelation. The technique is evaluated with Monte Carlo simulation and illustrated through an empirical model of the West Texas cotton basis. Given nonnormality, this technique can substantially reduce the variance of slope parameter estimates relative to least squares procedures.