A framework for the analysis of global, regional and local business networks

In this article we are dealing with the global, regional and local questions of the business. We raise the following question: is there a relation between network management (networking) and the spatial type of the network. We make a cross analysis of networking and spatial types of the network. The paper builds on the model of networking (Ford et al., 2002; Ford et al., 2003; Håkansson et al., 2009), the network paradoxes (Håkansson and Ford, 2002) and the model of 6 Cs (Ritter & Ford, 2006). We emphasize the strategic importance of the interpretation of network pictures. In order to answer the research question we create a theoretical conceptual frame called the Spatial Networking Matrix. We use the method of explorative expert interview in order to introduce some experiences of company leaders and managers concerning networking and spatiality. We conclude that after further development, the Spatial Networking Matrix can help to analyze networking and spatial types of networks at once, deepen the understanding of the real business world and through all of these, be a useful tool for business practice.     

Cooperative R&D and the Value of the Firm

In this paper, we investigate the stock price responses of listed firms in the U.S. markets to announcements of R & D collaborations. We find that abnormal returns of stocks are significantly positive after R & D collaborations are announced. The positive stock price response towards the R & D cooperation initiations can be partially explained by the nature of the collaborations and the characteristics of the participating firms. We also find that the stock prices of rival firms respond negatively to announcements of R & D cooperation. This result seems to support the hypothesis that cooperative R & D improves economic efficiency of the cooperative firms that gain competitive advantage. We do not find evidence supporting the hypothesis that R & D cooperation creates collusive, anticompetitive effects in the product market.     

R&D-induced industry polarization and shake-outs

We consider the standard two-stage game of R&D and Cournot competition with ex ante identical firms but depart from the literature in assuming that R&D is characterized by mildly, instead of strongly, decreasing returns to scale. We establish that only extreme R&D levels are possible at equilibrium, and that for a broad range of parameters, equilibria are asymmetric in R&D levels, possibly leading one firm to endogenously exit. This provides a simple link between returns to scale in R&D and industry polarization, including shake-outs. A novelty is that exit may be triggered by positive opportunities in a strategic setting. Given the original nature of our R&D equilibrium, a complete welfare analysis is conducted, including a possible role for R&D subsidies.     

Mergers and acquisitions by Chinese firms: A review and comparison with other mergers and acquisitions research in the leading journals

In recent years, an increasing number of Chinese firms have been engaged in acquisitions both inside and outside of China. Nevertheless, our understanding of Chinese merger and acquisition (M&A) activity is limited because a majority of M&As in the past 100 years have been performed by firms from developed countries and it is those M&As that have been the focus of prior research. Thus this paper aims to address the following research questions: What are the new insights gained from Chinese M&A research? What are the emerging future directions of Chinese M&A research? To address those questions, this article provides a thorough literature review of the most recent M&A research in top journals and studies of M&As both inside and outside of China. Consequently, we identify both new insights from Chinese M&A research and the research gaps that Chinese M&A research needs to fulfill compared with general M&A research in top journals. We further highlight the important and unique characteristics of Chinese M&As and call for future research.     

Complementary assets,start-ups and incentives to innovate

We examine to what extent market conditions facilitating start-up formation affect firms' R&D investment and profits. We consider a model in which R&D efforts of an incumbent firm generate partly tacit technological know-how embodied in a key R&D employee, who might use it to form a start-up. The availability of complementary assets influences whether new firms are created and determine expected profits for start-up's founders. A large availability of complementary assets has the direct effect that the generation of start-ups is fostered. However, as a strategic effect, the incentives of incumbents to invest in R&D may be reduced because of the increased danger of knowledge loss occurring through start-up formation. We characterize the effects of an increase in the availability of complementary assets, showing that counter-intuitively there are cases in which it induces an increase in incumbents' R&D investment.     

Product Innovation,Process Innovation,and Size

We test the hypothesis that large firms devote a higher proportion of their research and development (R & D) expenditure on process innovation thansmaller firms. According to the estimates, process- and product R & D expenditure rise less than in proportion to size. The size effect is somewhat stronger for process R & D but the difference to product R & D is in no way dramatic. This difference with regard to size elasticity of process- and product R & D is somewhat more pronounced when accounting for possible interrelationships between expenditure on process- and product R & D but remains statistically non-significant.     

Behind M&;As in China and the United States: Networks,learning, and institutions

Few scholars would dispute the argument that mergers and acquisitions (M&As) are different in China and the United States, but we know little about how they differ. This article reports one of the first studies that systematically compares and contrasts how M&As differ in these two countries. While prior research on M&As tends to emphasize economic and financial explanations while treating firms as atomistic actors severed from their institutional and network relations, we develop a new theoretical framework based on relational, behavioral, and institutional perspectives. We not only consider firms as learning actors embedded in network relations, but also compare and contrast their M&A patterns between China and the United States, two distinctive institutional contexts. We find that both a firm’s structural hole position and its learning orientation (exploration/exploitation) in alliances have direct and joint impacts on subsequent M&As. Further, such impacts differ across the two countries, due to their institutional disparities.     

Market failures and the additionality effects of public support to private R&D: Theory and empirical implications

We extend the theoretical basis of the empirical literature on the effects of R&D subsidies by providing an estimable model of strategic interaction among subsidy applicants, and public and private sector R&D financiers. Our model incorporates fixed R&D cost and a cost of external finance. We derive the optimal support rule. At the intensive (extensive) margin the costs of external funding reduce (increase) the optimal subsidy rate. We also establish necessary and sufficient conditions for the existence of additionality. It turns out that additionality at the intensive margin is less likely with higher spillovers. Our results suggest that the relationship between additionality and welfare may not be straightforward.     

Configuring quality management and marketing implementation and the performance implications for industrial marketers

This study empirically examines if different configurations of quality management and marketing (Q&M) implementation exist in various industrial organizations and explores their implications for firm performance. We survey 304 organizations that have operational quality management systems and conduct in-depth interviews with selected groups of respondent organizations to understand their market-oriented behaviors. We perform cluster analysis of the survey data to empirically construct taxonomic configurations of Q&M implementation that may exist in these organizations. The results show three distinct configurations with each configuration displaying specific implementation characteristics. We label the corresponding organizations as reactive firms, progressive firms, and proactive firms, respectively. In other words, each configuration represents a different extent of implementing Q&M in organizations. We also find that the empirically-derived configurations, corroborated with in-depth interview data, are associated with various firm performance measures. The analysis reveals that proactive firms in which Q&M are implemented at a high level attain the best firm performance. Despite the exploratory nature of this study, the taxonomy developed yields valid and reliable findings that have significant theoretical and practical implications for industrial marketers.     

Is R & D Financially Constrained? Theory and Evidence from Irish Manufacturing

We re-examine the effects of liquidity constraints on R & D investment. Inour theoretical section we extend the neoclassical framework of investmentin physical capital by introducing R & D and liquidity constraints. Weanalyse this issue empirically using firm-level data for R & D activemanufacturing firms in the Republic of Ireland. Our results provide evidencethat suggests that R & D investment is financially constrained. This is inline with previous studies of U.S. firms.     

Order acceptance and scheduling in a two-machine flowshop

We study the order acceptance and scheduling problem in a two-machine flowshop. The firm receives a pool of orders before a planning period, each of which is characterized by revenue, processing times on machines 1 and 2, a due date, and a tardiness penalty. The firm seeks to decide on the orders to accept and schedule the accepted orders so as to maximize the total net revenue. We formulate the problem as mixed-integer linear programming models, and develop a heuristic and a branch-and-bound (B&B) algorithm based on some derived dominance rules and relaxation techniques. We assess the performance of the B&B algorithm and the heuristic via computational experiments. The computational results show that the B&B algorithm can solve problem instances with up to 20 jobs within a reasonable time while the heuristic is efficient in approximately solving large instances of the problem.     

Multinationals and the globalization of R&D

In this paper we consider how the location, organization and output of knowledge production evolve within domestic firms following acquisition-FDI in order to understand the aggregate effect on an index of domestically produced innovations. We find strong differences according to how close the acquiring MNE is to the technologically frontier. Frontier MNEs are more likely to close R&D activities in acquired affiliates, but when they are retained they expand employment of high-skilled R&D workers and transfer R&D knowledge. Non-frontier MNEs make fewer changes to R&D. Overall the effect of acquisition-FDI on the domestic innovation index is positive.     

Innovation,R&D productivity,and global market share in the pharmaceutical industry

In this paper, we estimate two empirical models using a pooled, cross-section sample of international pharmaceutical firms for the period 1987 to 1989. The first model tests the relationship between R&D productivity and a vector of firm-specific characteristics. The second model tests the determinants of global market share. The empirical analysis reveals three findings. First, we find evidence that there are diminishing returns in the pharmaceutical R&D process. Second, we find that firm size has a positive effect on average R&D productivity and a positive impact on the marginal R&D productivity for plausible R&D staff sizes. And third, we find evidence that R&D productivity and the number of sales employees have a positive effect on the firm's global market share.The views presented in this paper reflect those of the authors and do not necessarily reflect the views of the U.S. International Trade Commission or any of its individual commissioners. We thank William Comanor, Daniel Gropper, Daniel Hamermesh, Susan Pozo, Paul Thistle, and Mark Wheeler for their comments and suggestions on an earlier draft of this paper. We assume all responsibility for any errors contained herein.     

Effects of broadband availability on total factor productivity in service sector firms: Evidence from Ireland

While broadband is widely believed to augment productivity, there is little firm-level evidence of a generalised causal effect. In this paper we examine whether the introduction of digital subscriber line (DSL) broadband services increased firms' productivity in nine sub-sectors within the services and distribution sector in Ireland from 2006 to 2012. Firm-level panel data on firms' characteristics are linked to spatial information on the rollout of DSL. While we do not find significant productivity effects in the services sectors taken together, we do find positive and significant effects on firm's total factor productivity in Information & Communication and Administrative & Support Services.     

Modeling the firm's response to research & development tax credit policies

In this article, we develop a microeconomic model of normative firm behavior under the incentive of a research and development (R&D) tax credit. The model is based on the well-known concept of a two-factor learning model in which R&D expenditures and manufacturing capacity expansion are the principle determinants of cost reduction in a new technology product. We distinguish between the behavior of start-up firms and ongoing firms and study the potential impacts of progressively larger R&D tax credits. We find highly significant differences in the potential impact of the credit on start-up firms versus ongoing firms. We also find that the credit can significantly impact optimal product pricing of the technology when introduced into the marketplace. We examine the implications of this latter fact on the overall social cost of the R&D tax credit.     

Declared essential patents and average total R&D expenditures per patent family

The sharp increase in SEP declarations and declaring firms emphasizes the necessity for understanding firms’ innovation investment behavior in standardization. This paper empirically investigates whether declared standard-essential patents (SEPs) and the declaring firm’s business model (operationalized as a firm’s location in the value chain) are associated with a firm’s innovation investment behavior. To this end, we measure firms’ innovation investment behavior through average total research and development (R&D) expenditures per filed patent family for publicly listed firms from 1999 to 2018. Our sample mainly includes major SEP family declarants. We rely on a binary business model taxonomy differentiating upstream and downstream firms. Within that setting, total R&D expenditures rise with increasing fragmentation of declared SEP families, suggesting that firms adjust their R&D investments to declaration developments in standard-setting organizations (SSOs). We also show that upstream firms have significantly lower total R&D expenditures than downstream firms, which could indicate structural differences in their intellectual property (IP) and R&D management processes. Our results can help SSOs and regulators better understand firms’ innovation investment behavior.     

Doing R&D and/or Importing Technologies: The Critical Importance of Firm Size in Taiwan’s Manufacturing Industries

We analyze the relationship between firm size and innovation inputs in Taiwan. Two inputs are considered: R&D and technology imports. Building on an existing theoretical framework, we test this relationship by estimating bivariate Tobit models in twenty 2-digit industries, using a panel of 27,754 firms observed from 1992 to 1995. We find that, in all industries, R&D intensity and/or technology imports intensity depend strongly on firm size, following an “inverted-U” pattern. Moreover, we find that most industries are only “mildly Schumpeterian”. Finally, our results provide some empirical evidence for complementarity between R&D and technology imports in the innovation process.     

The path of R&D efficiency over time

In this paper we investigate the pattern of R&D efficiency in terms of the number of product innovations achieved by firms over time. Using a panel dataset of Spanish manufacturing firms for the period 1990–2006, we follow the innovative performance of R&D active firms and observe that innovation rates change over firms' R&D histories. To explain these facts we propose a model that explicitly acknowledges the twofold composition of firms' R&D expenditures, comprising spending on both physical capital for R&D projects and payments to researchers. We regard this latter component of R&D as a source for dynamic returns to firms' R&D investments. Consequently firms' innovation outcomes clearly depend on how long they have been investing in R&D and also on whether there have been any interruptions in the temporal sequence of R&D activities. Our results suggest that R&D activities exhibit dynamic returns that are positive but at a decreasing rate, and that interruptions in R&D engagement reduce R&D efficiency.     

Interplay between internal investment and alliance specialization in R&D and marketing

A firm's efforts to build its technological and marketing capabilities are not limited to internal investments but can be extended to include external knowledge acquisitions. We examine the interaction between a firm's specialization in R&D or marketing through its internal investments and its alliances in two different industrial contexts. Our results, based on secondary data sources such as Compustat and SDC Platinum from 1985 to 2009, show that the interaction effects of internal specialization and alliance specialization are contingent on the types of tasks (i.e., R&D and marketing) and the industrial context (i.e., high- and low-tech industries). Our findings indicate that a firm in a high-tech industry is able to achieve greater gains by complementing its internal focus on R&D with its external focus on marketing or by focusing on R&D both internally and externally. In contrast, a firm in a low-tech industry is able to achieve greater performance when R&D and marketing complement each other, without regard for how they are aligned through internal investments and alliances. The firm is also able to improve its performance by focusing on marketing both internally and externally. These findings provide new insights into the complementarity between internal investments and alliances.     

Exploring the role of spatial relationships to transform knowledge in a business idea — Beyond a geographic proximity

The “space” dimension has characterized the aggregation of firms, ranging from industrial districts to clusters. Within a local system, as emphasized by the Triple Helix model (Etzkowitz & Leydesdorff, 2000), universities, firms, and public institutions generate synergies by producing and exploiting technological knowledge. From this perspective, local relationships become synonymous with spatial relationships characterized by geographic proximity. However, is it possible to find different dimensions of proximity influencing spatial relationships in order to support innovation? This paper demonstrates that different proximity dimensions influence firms' boundaries and the development of spatial relationships through which actors interact to develop resource combinations identified in innovation. After a review of the these topics, the paper provides findings related to the spatial relationships developed by Petroceramics as a hosted spin-off of the Italian Technological Pole (POINT) as well as its subsequent relocation to the Kilometro Rosso Science Park. As such, this paper deals with how technological knowledge is transformed into a business idea through spatial relationships based on different dimensions of proximity.