Models for innovation diffusion: Vijay Mahajan and Robert A. Peterson; A Sage University Series on “Quantitative Applications in the Social Sciences,” No. 07-048, Sage, Beverly Hills, 1985.

Developing countries wish to achieve in a few decades what the developed countries accomplished in many centuries under conditions of relatively lesser resource constraints. Therefore, the developing countries cannot emulate the evolutionary experiences of the developed countries; they need a revolutionary approach in their development strategies. One plausible option for this revolutionary orientation could be the utilization of a technology-based strategy for national development planning. This article proposes undertaking certain measurement activities with respect to the technological system of a country, which would enable national decision makers to use technology as a strategic variable for socioeconomic development. The article briefly describes the role of technology as the master key for sustainable development, discusses the current activities related to the measurement of technology, presents a few conceptual schemes, and a framework for the assessment of national technological capabilities and needs.     

Pricing and hedging options with GARCH-stable proxy volatilities

This article considers modelling nonnormality in return with stable Paretian (SP) innovations in generalized autoregressive conditional heteroskedasticity (GARCH), exponential generalized autoregressive conditional heteroskedasticity (EGARCH) and Glosten-Jagannathan-Runkle generalized autoregressive conditional heteroskedasticity (GJR-GARCH) volatility dynamics. The forecasted volatilities from these dynamics have been used as a proxy to the volatility parameter of the Black–Scholes (BS) model. The performance of these proxy-BS models has been compared with the performance of the BS model of constant volatility. Using a cross section of S&P500 options data, we find that EGARCH volatility forecast with SP innovations is an excellent proxy to BS constant volatility in terms of pricing. We find improved performance of hedging for an illustrative option portfolio. We also find better performance of spectral risk measure (SRM) than value-at-risk (VaR) and expected shortfall (ES) in estimating option portfolio risk in case of the proxy-BS models under SP innovations.

Abbreviation: generalized autoregressive conditional heteroskedasticity (GARCH), exponential generalized autoregressive conditional heteroskedasticity (EGARCH) and Glosten-Jagannathan-Runkle generalized autoregressive conditional heteroskedasticity (GJR-GARCH)     

Trade,growth and income redistribution: A case study of India

The concern of this exercise is with the effectiveness of trade policies and their assessment in achieving economic growth and income equality. A link between growth and equality is provided through employment. If there is substantial increase in employment, the inequality of income distribution is likely to be reduced. Thus, trade by bringing about higher levels of production and employment may reduce income inequality. We have applied a closed input-output model to the Indian data to estimate the interrelationships between trade, growth and income redistribution. It has been found that employment opportunities could be raised substantially through redistribution as well as through export promotion in developing countries such as India, if capital and foreign exchange constraints are not binding. Import substitution, however, does not turn out to be as effective a strategy to achieve these goals.     

Technology change management: Imperatives for developing economies

This paper begins with the well-accepted premise that technological progress provides the foundation for economic prosperity. And, because most developing countries are lagging behind due to technological underdevelopment, a judicious management of the technological advancement process deserves serious attention. Keeping these in mind and also taking stock of the current global perspective for developing economies, what problems and issues will have to be dealt with, and what bottlenecks will have to be removed are presented first. The middle portion of the paper then deals with a brief dissection of the vital dimensions of the required technological change management system for practitioners and policymakers in these countries. The third and the last part presents some observations/comments regarding the attitudinal, organizational, and institutional changes that could help in achieving the aspired technology-led economic miracle.     

The Weibull distribution as a general model for forecasting technological change

This paper presents a simple and widely applicable model for technological forecasting using the Weibull distribution function. It shows the generality of the Weibull function, which can accommodate different patterns of technological change. A method for estimating parameters and some applications are presented to illustrate the usefulness of the model.     

Evaluating the potentials of technical cooperation among developing countries

The main purpose of this article is to show that “there are optimal partners for technology transfer to be most effective,” and for many countries this may, in fact, mean looking for “technical cooperation among developing countries (TCDC).” In this article a technology transfer model has been presented, in relatively simple mathematical form, which incorporates both the dynamic and the spatial aspects of the innovation diffusion process. The existing models of technological change at a particular location, i.e., technological substitution, are shown to be special cases of the developed time-level model of technology transfer. The model has been applied to evaluate the international transfer potentials of the “computerization” technology. Optimal partners are identified and the prospects for TCDC has been evaluated. Model usefulness and related policy implications have been discussed in detail.     

The establishment of industrial branding through dyadic logistics partnership success (LPS): The case of the Malaysian automotive and logistics industry

Logistics partnerships across dyadic and triadic relationship networks have been the basis of extensive research in the extant literature. It is well understood that competitive advantage within logistics and distribution and within supply chains are driven by value-adding aspects of not only the core competencies of each tier in the network, but also via tangential supporting factors. It is also well understood that there is a strong relationship between logistics and distribution and marketing functions, particularly in product-based organisations. In addition to deepening our understanding of how successful partnerships throughout the source–make–deliver continuum can be optimised, this research also seeks to identify how a supporting element in terms of industrial branding and marketing can lead to relational sustainability. Hence, this paper outlines the relationship between logistics partnership success (LPS) factors and the inherent link to industrial branding establishment and business sustainability within the Malaysian automotive industry (specifically, car manufacturers). Adopting a multiple case study approach, findings suggest that there is a strong association between logistics service performance (LSP) provided by the third party logistics provider (TPLP) and the development and support of a mutual brand image for both the TPLP and the car manufacturer. We contribute to the extant literature on logistics partnership and industrial branding through linking LSP with the creation and maintenance of an industrial branding strategy for both parties in the context of the Malaysian automotive industry.