DISTRIBUTION OF ECONOMIC RESOURCES: IMPLICATIONS OF INCLUDING HOUSEHOLD PRODUCTION

The value of household production is estimated to 40–50 percent of GNP in most western countries, and because the distribution of this income-in-kind is different from ordinary income distribution, the concept of economic well-being may include household production. The monetary value of household production is evaluated by a market alternative principle and an opportunity-cost principle. In the last case a reservation wage is estimated, and integrated in a modified opportunity principle, which means that household work of non-working women is evaluated by the reservation wage, and household work of working women and men by their wage-rate. The conclusions are among others, that the inclusion of household production reduces the inequality, and that the women's contributions—money income and household production—functions as income equalizers.     

Innovative Assets And Inter-Asset Linkages—A Resource-Based Approach To Innovation

The paper proposes a framework for analyzing assets and inter-asset linkages associated with technological innovation. The framework is consistent with a Penrosian view of the firm and draws on recent contributions from both the more general resource-based perspective and the innovation and technology perspective of the firm.

Three broad categories of firm assets are distinguished: tradeable resources, technical/functional capabilities and managerial competences. Assets for technological innovation are defined as resources, technical capabilities and managerial competences for developing new products and processes. A taxonomy of generic innovative assets is proposed that distinguishes four generic categories of innovative assets: Scientific research assets, process innovative assets, product innovative application assets and aesthetic design assets. Critical inter-asset linkages are analyzed in terms of inter-asset specificity. It is argued that high degrees of inter-asset specificity provide greater scope for innovation and make higher demands on the innovative assets and their coordination than low degrees of inter-asset specificity. It is moreover suggested that complementary assets not only play the role of assuring proper commercialization of given innovations; they may also play a critical role as a ‘focusing device’ for directing the innovative process.

Finally, some implications for strategy in innovative firms are indicated. Thus, the proposed inter-asset framework may help to specify the notion of core competences and provide a more differentiated perspective on innovation strategy and first-mover advantages.     

Patent indicators for monitoring convergence - examples from NFF and ICT

The blurring of boundaries between hitherto distinct scientific disciplines, technologies or markets is a common and powerful phenomenon. Concentrating on monitoring convergence through patent indicators, we discuss convergence with examples from the area of Nutraceuticals and Functional Foods (NFF)/Cosmeceuticals as well as information technologies, consumer electronics, and telecommunications (ICT). We analyze 7455 scientific and patent references on phytosterols with the aid of SciFinder Scholar and 3836 documents employing STN AnaVist. Furthermore, we test an IPC co-classification based approach on 859,469 ICT-related and 341,846 NFF-related patents. Our results show clear indications for convergence and a proof of principle for our monitoring concept. Academics may better evaluate environmental parameters, like cases of convergence, influencing companies' actions. Implications for practitioners are based on a more reliable assessment prior to the forming of strategic alliances or mergers and acquisitions. This could help avoid costly adventures such as the mergers and acquisitions seen in ICT.     

Interpenetration Versus Embeddedness

A bstract .   The economy and economics are important fields in Talcott Parsons's work. Parsons's contributions on this subject were, however, mostly critically received in the new economic sociology. In this article, main points of criticism of Parsons's economic sociology will be discussed and the question asked whether the importance of Parsons's works in economic sociology was adequately treated. It will be demonstrated that the critical assessments was based for the most part on theoretical conceptions Parsons developed during his structural-functionalist period. Hence the assessments neglected to discuss the theory of expressive-symbolic communication of affect that Parsons developed in his later systems-functionalist period. However, precisely these later theoretical developments correlate directly with the concept of social embeddedness as a key concept in the new economic sociology. A stronger linking with this development in Parsons's theory could bring economic sociology closer to finding a foundation in action theory, which has been missing up to the present.     

The origins of terrorism: Cross-country estimates of socio-economic determinants of terrorism

Prior research has concluded that socio-economic development does not significantly affect terrorism. We take an alternative view. First, we note that a country's socio-economic circumstances affect terrorists' behavior through terrorism's opportunity costs. We argue that this reasoning also holds for the case of supreme value terrorism. Then, we run a series of negative binomial regressions for 110 countries between 1971 and 2007 to test the hypothesis that poor socio-economic development is conducive to terrorism. We find that socio-economic variables indeed matter to terrorism, contrary to other results. Our findings imply that countries can benefit from economic development and growth in terms of a reduction in terrorism.     

The future of in-store technology

Journal of the Academy of Marketing Science - This paper introduces a conceptual framework for understanding new and futuristic in-store technology infusions. First, we develop a...     

Sustainable supply chain management and partner engagement to manage climate change information

Climate change poses significant new risks and challenges for businesses and their supply chains. Additionally, in many sectors, Scope 3 indirect greenhouse gas emissions resulting from the sourcing and distribution of goods and services are larger than firms' own carbon footprints. Here we study how firms engage their key stakeholders in their supply chains in obtaining, processing, and transferring relevant climate change‐related information designed to overcome information asymmetry and drive sustainable development. Grounded in organisational information‐processing theory (OIPT), we draw on data from the Carbon Disclosure Project's Climate Change Supply Chain initiative for a qualitative content analysis of a large sample of global firms. Consistent with OIPT, we find that although firms primarily engage their supply chain partners in a variety of ways to reduce information uncertainty around indirect emissions data, effectively interpreting and managing broader sustainability information equivocality becomes a growing priority. Our findings further suggest that firms engage suppliers, customers, and other supply chain partners through basic, transactional, and collaborative types of engagement. We contribute to literatures on interorganisational information processing and sustainable supply chain management by providing a more detailed understanding of how firms engage supply chain partners in the context of climate change.     

Asymptotics for Autocovariances and Integrated Periodograms for Linear Processes Observed at Lower Frequencies

One of the most frequently used class of processes in time series analysis is the one of linear processes. For many statistical quantities, among them sample autocovariances and sample autocorrelations, central limit theorems are available in the literature. We investigate classical linear processes under a nonstandard observation pattern; namely, we assume that we are only able to observe the linear process at a lower frequency. It is shown that such observation pattern destroys the linear structure of the observations and leads to substantially different asymptotic results for standard statistical quantities. Central limit theorems are given for sample autocovariances and sample autocorrelations as well as more general integrated periodograms and ratio statistics. Moreover, for specific autoregressive processes, the possibilities to estimate the parameters of the underlying autoregression from lower frequency observations are addressed. Finally, we suggest for autoregressions of order 2 a valid bootstrap procedure. A small simulation study demonstrates the performance of the bootstrap proposal for finite sample size.