Systems of technological innovation: a review of research activities taking the case of nanotechnology and India

Systems of innovation can play an important role in linking technological innovation to manufacturing and industrial competitiveness. This paper aims to understand the systems and actors from a perspective of cooperative strategies, taking the case of a key emerging industry – nanotechnology. Longitudinal trends in R&D output worldwide and in select large countries were analysed based on bibliometrics. S-curves were adapted to detect the transitions for select countries. Tech mining was used to identify patterns of cooperation among countries. Academic research emerged to be the strength of Asia and India, but major challenges remain on several other elements of the system of innovation.     

Demand competition and investment heterogeneity in industries based on systemic technologies: evidence from the US long-distance telecommunications services industry, 1984–1996

Industries based on systemic technologies are often characterized by a dynamically evolving market structure. The market structure that provides the context for firms’ investment choices itself evolves due to the feedback effect of firms’ investments. In such cases, analyses of investment-performance relationship, purporting to explain sustainable competitive advantages, should ideally account for the endogeneity of the determinants of market structure—technology, demand, and policy—and firms’ investment choices. This paper focuses on the endogeneity of the demand-side determinants of market structure and firms’ demand-side investments under the assumed conditions of constant technology and policy environment. In doing so it contradicts the extant depiction of the evolution of industrial market structure in the above context as primarily caused by the evolution of underlying technological system in response to firms’ endogenous technological investments that generate sustainable competitive advantage for the dominant firms. A dynamic evolutionary model of demand competition captures the competition in the downstream market for basic industry product and its complements in an industry based on systemic technology during its post-interoperability stage. A natural experiment drawn from the US Long-distance telecommunications services industry during 1984–1996 allows testing the hypotheses drawn from the above model in a panel data setting.     

Consumer Acceptance of Camel Milk in Emerging Economy

Abstract

Camel is considered as an indispensable part of desert eco-framework across the globe. Apart from helping in transport, it is also used for its milk. Camel's milk is used worldwide because of its salty taste. However, it has many beneficial effects such as cure for autism and helps to control diabetes, allergy, and also prevents liver cirrhosis. Objective of this study is to analyze the ways to make people purchase and consume camel milk. In the last few years, awareness about nutritional and medicinal benefits of camel milk has rapidly increased. Consequently, the demand of the product has also increased. Objective of this article is to analyze the consumers’ willingness to buy camel milk before and after knowing its health benefits. It also explores the linkage between lifestyle diseases and consumer’s willingness to buy. We analyzed data in two stages. Initially, we did qualitative analysis with twitter text mining to understand customer’s sentiments about camel milk. Later, primary data was collected through structured questionnaire from a sample of 120 respondents by convenience sampling for quantitative analysis. There is a significant increase in the proportion of people willing to buy camel milk and once they were aware of the benefits, people are willing to buy more after knowing the benefits. People exposed to lifestyle diseases are more willing to buy camel milk. Hence, support of market-based awareness campaigns to stimulate demand for quality camel milk among consumers can be realized through information dissemination and awareness campaign.     

Institutional Ownership and the Extent to which Stock Prices Reflect Future Earnings*

Articles in the financial press suggest that institutional investors are overly focused on current profitability, which suggests that as institutional ownership increases, stock prices reflect less current period information that is predictive of future period earnings. On the other hand, institutional investors are often characterized in academic research as sophisticated investors and sophisticated investors should be better able to use current‐period information to predict future earnings compared with other owners. According to this characterization, as institutional ownership increases, stock prices should reflect more current‐period information that is predictive of future period earnings. Consistent with this latter view, we find that the extent to which stock prices lead earnings is positively related to the percentage of institutional ownership. This result holds after controlling for various factors that affect the relation between price and earnings. It also holds when we control for endogenous portfolio choices of institutions (e.g., institutional investors may be attracted to firms in richer information environments where stock prices tend to lead earnings). Further, a regression of stock returns on order backlog, conditional on the percentage of institutional ownership, indicates that institutional owners place more weight on order backlog compared with other owners. This result is consistent with institutional owners using non‐earnings information to predict future earnings. It also explains, in part, why prices lead earnings to a greater extent when there is a higher concentration of institutional owners.     

Economic Consequences of IFRS Adoption: The Role of Changes in Disclosure Quality*

This study adopts a two‐step approach to highlight the disclosure quality channel that drives economic consequences of IFRS adoption. This approach helps address the identification challenge noted by prior research and offers direct evidence on the role of disclosure quality. In the first step, we document the impact of the IFRS mandate on changes in disclosure quality proxied by the granularity of line item disclosure in financial statements. We find that IFRS‐adopting firms provide more disaggregated information upon IFRS adoption, such as more granular disclosure of intangible assets and long‐term investments on the balance sheet and greater disaggregation of depreciation, amortization, and nonoperating income items on the income statement. In the second step, we link the observed disclosure changes to the benefits and costs of IFRS adoption. We show that greater disaggregated information due to IFRS adoption enhances market liquidity and decreases information asymmetry, but does not affect audit fees differentially. Our evidence has implications for standard setters as they evaluate cost‐benefit trade‐offs when considering disclosure changes in the future.     

Areas of Corruption in the Distribution of Foreign-Made Goods Where a Firm's Size and Origin Play a Role: The Russian Experience

Drawing on interview evidence, this article explores areas whereby business corruption in Russia affects distributors of foreign goods with both local and foreign ownership and whether its effects on distributors of small and large sizes vary. The findings reveal the areas of corruption wherein distributors of foreign goods in Russia are most likely to be affected and suggest that, though widespread in Russia, corruption may have far greater effect on smaller distributors as compared to large firms. Large distributing firms can avoid involvement in corruption in some of the areas explored. This in turn may limit small-sized foreign manufacturers' capability to compete in this market, as they are most likely to be able to contract only to small-sized distributors. The study presents findings that are based on interviews with the distributors of foreign-made goods operating in Russia. The findings of the study can help to explain activities of corruption as related to the size of business firms involved in distribution of foreign products in Russia. Hence, its value to firms contemplating export to Russia. The research can also be considered a valuable platform for further research in this field.     

Corporate advantage in customer-centric diversification

Our theory explains how multi-product corporations that engage in customer-centric diversification can create and sustain corporate advantage. First, we invoke the concept of customer-centric assets to explain their role as the cornerstone of corporate advantage in customer-centric diversification. Second, our explanation of the corporate advantage in customer-centric diversification goes beyond the hypothetical ‘consumer synergies’ argument to also include the ‘market-power advantage’ argument. We explain the mechanisms employed by multi-product firms to share and/or leverage their customer-centric assets to create corporate advantage. Third, we explain how sustaining the corporate advantage so achieved requires the organizational-renewal activities to go beyond simply addressing the changing nature of the firm’s demand-side resource (i.e. customer-base) to manage revenue and/or profits.     

Competing in digital ecosystems

Digital technologies are revolutionizing traditional interdependencies among businesses. As a result, managers have begun to recognize their business environments as digital ecosystems. For firms accustomed to framing their business environments as industries, this represents a significant shift in perspective—one that requires an understanding of fresh strategic initiatives necessary to compete in the digital era. In this article, we highlight what is new and different about digital ecosystems for firm strategy. We offer frameworks that explain how digital ecosystems provide firms with new sources of value and new avenues for growth. Two sets of underlying concepts govern these frameworks: (1) production and consumption ecosystems and (2) digital envelopes and product-in-use information. We introduce and elaborate upon these foundational concepts and highlight new strategic options for firms to compete in digital ecosystems.     

The effect of population growth,the pattern of demand and of technology on the process of urbanization

A nonlinear, three-sector, two-region wage and price endogenous dynamic general equilibrium model is used to study the effects of population growth, the pattern of demand, and technological change on urbanization in the context of a low-income developing country starting at a low level of urbanization. The model represents a closed economy and is therefore more suited to a large country. It is validated on Indian data and traces its development path well from 1950 to the present. The sectors modeled are agriculture, industry, and services with the latter two being located exclusively in urban areas. The three sectors are linked with an input-output matrix which subsumes transportation costs incurred between urban and rural areas. The model is designed to investigate long-term changes, e.g., over a 30-year period, and factor mobility is therefore assumed to be “almost perfect.” The model demonstrates that rapid agricultural productivity growth, high rates of investment, and Engel demand effects combine to produce a continuing increase of urbanization as development occurs in an economy. The rate of urbanization is not necessarily dependent on high overall population growth: indeed, under certain conditions, a lowering of overall population growth might speed up the rate of urbanization. The pattern of demand and changes in the pattern can affect the rate of urbanization significantly: in particular, Engel-type demand changes serve to make the process of urbanization logistic. Technological bias effects are not very strong but effective appropriate technology policies might speed up urbanization.     

Product Technology Transfer in the Upstream Supply Chain

This article addresses the transfer of new product technologies from outside the firm for integration into a new product system as part of a product development effort. Product technology transfer is a key activity in the complex process of new product development and is the fundamental link in the technology supply chain. Product technology transfer too often is dealt with in an ad‐hoc fashion. Purposeful management of the product technology transfer process leads to more effective transfers in terms of timeliness, cost, functional performance, and competence building. Better management of product technology transfer gives firms access to a greater variety of new technology options, improves a firm's ability to offer significantly differentiated products, deepens the firm's competitive competencies, and positively influences sustained product development success. The central objective of this article is to gain insight into product technology transfer so that companies can manage this process more successfully and so that researchers can investigate this critical activity further. This article describes the technology supply chain as a unique form of a supply chain that poses a set of managerial challenges and requirements distinguishing it from the more traditional component supply chain. Because a single product technology transfer project is the fundamental piece in the technology supply chain, understanding this piece well is key to leveraging the extended technology supply chain and to improving overall product development performance. This article integrates literatures on new product development, supply chain management, and technology management and builds on organizational theory to present a conceptual model of determinants of product technology transfer success. The core proposition is that product technology transfer effectiveness is greatest when companies carefully match (or “fit”) the type of technology to be transferred (the “technology uncertainty”) with the type of relationship between the technology supplier and recipient (the “interorganizational interaction”). A quite detailed framework characterizing technology uncertainty along the dimensions of technology novelty, complexity, and tacitness is presented to help in assessing the challenges associated with transferring a particular product technology. This article also considers detailed elements characterizing the interorganizational interactions between the technology source and recipient firms. This helps firms consider the appropriate means to facilitate the interfirm process of technology transfer. Overall, this article provides practical insight into characterizing technologies and into improving the product technology transfer process. This article also provides a strong theoretical foundation to aid future research on product technology transfer in the technology supply chain.