策略性产品投放市场研究方法

This paper proposes a method to analyze how the manufacturers make product launch decisions in a multi-product oligopoly market, and how the heterogeneity in their products affects the manufacturers’ decisions on model launch and withdrawal.      

Productivity effects of trade and product innovations: an empirical analysis for 13 OECD countries

This article distinguishes two sources of productivity increases, namely product/process innovations and trade innovations. An empirical analysis for 13 OECD countries shows that product/process innovations, represented by aggregated investments in Research and Development (R&D), are major determinants for productivity growth in large industrial countries, whereas trade innovations, represented by export intensity, seem to contribute most to productivity in trade-oriented economies. These trade innovations relate to the ability to reduce transaction costs so that these trading nations specialize in the organization of production in this era of globalization where the production chain is split up in more and more component parts.     

The long-run causal relationship between exports and economic growth in the euro area

This article employs panel methods that mitigate heterogeneity and cross-sectional dependence to determine the direction and sign of long run causality between exports and economic growth in the euro area economies from 2000 to 2014. The empirical evidence indicates that there is a unidirectional long-run Granger causality relationship from exports to economic growth in the euro area countries.     

The dynamics of environmental innovations: three stylised trajectories of clean technology

In this article, we explore the dynamics of environmental innovations developed by firms to comply with environmental regulations. Our analysis is based on a micro-simulation model of industrial dynamics. The question arises: how do firms competing in the same industry deal with environmental issues without altering their productive efficiency or the performance of the product? We focus on clean technology which seeks to combine environmental and productive dimensions by way of innovation offsets. Our simulations show that an innovative strategy based on a good balance between environmental and productive dimensions takes more time to develop and needs to address a ‘competence destroying effect’. Finally, we study favourable conditions for the development of this type of clean technology and draw some policy implications.     

Impact of organizational innovation on product and process innovation

The purpose of this paper was to test the effect of organizational innovation on product and process innovation (while controlling for endogeneity). Our hypothesis was that organizational innovation should have a significant and positive impact on technical (product or process) innovation. We control for endogeneity by using a Poisson estimator that accommodates a binary endogenous regressor. We test 10 potential instruments using a battery of test criteria and settle on five. All results are presented using the five instruments to avoid expectation bias. In general we find that organizational innovation does impact technical innovation positively. With the 2009 data we find that the mean of the average treatment effect for product innovation is roughly 1.7 times that of process innovation. For the 2009–2012 data we find that the impact on product innovation is roughly 1.5 times that of process innovation. For the 2012 data, we had anomalous results for process innovation, such that organizational innovation reduced the number of process innovations by 2.3 per year. In terms of Canadian government policy, the results lend support to the view that technical innovation is not the only innovation that matters. The right policy mix may encourage firms to experiment with and adopt more organizational innovations to enhance technical innovation.     

Solow's Harrod: Transforming macroeconomic dynamics into a model of long-run growth

Modern growth theory derives mostly from Solow's “A Contribution to the Theory of Economic Growth” (1956). Solow's own interpretation locates its origins in his view that Harrod's growth model implied a tendency toward progressive collapse of the economy. He formulates his view in terms of Harrod's invoking a fixed-coefficients production function. We challenge Solow's reading of Harrod's “Essay in Dynamic Theory,” arguing that Harrod's object in providing a “dynamic” theory had little to do with the problem of long-run growth as Solow understood it, but instead addressed medium-run fluctuations, the “inherent instability” of economies. Solow's interpretation of Harrod was grounded in a particular culture of understanding embedded in the practice of formal modelling that emerged in economics in the post-Second World War period. Solow's interpretation, which ultimately dominated the profession's view of Harrod, is a case study in the difficulties in communicating across distinct interpretive communities and of the potential for losing content and insights in the process. Harrod's objects – particularly, of trying to account for a tendency of the economy toward chronic recessions – were lost to the mainstream literature.     

新产品开发过程中的知识管理

新产品开发是一个复杂的知识运动过程。在该过程中,企业不仅要应用企业已有的各种相关科技知识,而且要从企业外部获取有关的科技知识、市场知识和其它知识,还要创造新的知识。因此,搞好新产品开发过程中的知识管理工作,对于成功开展新产品开发活动具有决定性的意义。本文分析了新产品开发流程中,研发团队与用户、供应商、员工等之间的知识获取、转移和共享。     

A conceptual framework for intra-company technology transfer: cases of leveraging production process innovations across MNEs

Multinational enterprises (MNEs) strive to commercialise their knowledge base globally by mobilising their technological competencies, transferring them across organisational boundaries, and selling the resulting systems, products, processes, and services worldwide. However, co-operation within MNEs still leaves potential for improvement, because intra-company transfers of technology as modes of corporate expansion and conquest of new international markets seldom work efficiently. Academic literature has not adequately addressed this important issue. Based on six case studies from MNEs, this paper highlights the challenges of intra-company technology transfer by examining exemplary cases of production process-related technology transfers. It establishes a conceptual framework model for intra-company technology transfers and identifies important success factors.     

The effect of interfirm codevelopment competency on the innovation of the e-service process and product: the perspective of internal/external technology integration mechanisms

Service innovations are central to today's rapidly changing business environment. Because of heterogeneous customer demands, rapid product life cycles, and advances in information technology (IT) for services management, an expanded conceptualisation of e-service innovation is required. This study examines the mediating effects of internal and external technology integration mechanisms among interfirm codevelopment competency and the innovation of the e-service process and product. A field survey was conducted of IT departments in information service firms to test the theoretical model. IT managers were the key informants. Partial least squares (PLS) analyses supported the main premises of the proposed research model. The data suggest that firms in the information service industry emphasise interfirm codevelopment competency in developing e-service innovations but use different sets of technology integration mechanisms to enhance e-service product and process innovation.     

Disentangling the effects of process and product innovation on cost and demand

ABSTRACT

We explore in this note different structural models of the impact of process and product innovation on firms' demand and production cost functions. We find that the introduction of process and product innovations affects them differently as could be expected. Both product and process innovation shift forward the demand for the products of the firm. Process innovation reduces production marginal cost, but not always. A possibility, that we cannot prove or reject with the current specification of our models and available data, is that process innovation associated with product innovation raise marginal cost. Interestingly, we also find that advertising significantly augments demand but does not affect production marginal cost. To obtain broader conclusions, richer data will be needed allowing an enlargement of the model, in which process and product innovations could be specified distinctively and well identified.     

Trade,product variety and welfare: a quantitative assessment for mainland China

We calculate a variety of welfare gains for Mainland China, following the approach of Romer (1994 Romer, P. 1994. New goods, old theory, and the welfare costs of trade restrictions. Journal of Development Economics, 43(1): 5–38. [Crossref], [Web of Science ®] , [Google Scholar]), who emphasized that proper modelling of the impact of trade restrictions on the number of available product varieties is crucial for quantifying the welfare impact of trade liberalization. The empirical work presented relies on direct measures of product variety calculated from highly disaggregated trade data. The emerging conclusion is that freer trade has indeed boosted welfare.     

An empirical investigation of complexity and its management in new product development

New product development (NPD) programmes are increasingly complex and difficult to manage. The consequences of poorly managed development complexity can be highly visible and even lead to project failure. To effectively screen new product proposals and manage NPD projects more efficiently, NPD teams need to be equipped with the capacity to identify development complexity and possess the knowledge to manage it. Unfortunately, there have been few studies which specifically illuminate the challenges and experiences product developers face in dealing with complexity. Our research attempts to help fill this gap. Our study is based on exploratory field interviews with 32 project leaders and team members. We first focus on identifying the specific complexity issues encountered in NPD. We then identify what NPD teams actually do to minimise the potential adverse consequences of complexity. Finally, we examine whether a company's development process reduces or increases the complexities NPD teams encounter. Based upon our research, we present our results and conclude by offering several recommendations for complexity management as well as suggestions for future research.     

The dynamics of environmentalism and the environment

We study the relationship between environmental preferences and the environment. Preferences are transmitted intergenerationally and through social interactions, where we assume that agents are more likely to adopt environmental preferences the larger the amount of pollution. In the basic setting we find that both converge non-monotonically towards an interior steady state. When including technical change we notice that there will be no change in the steady state level of the environment unless technical change is sufficiently strong, which stands in stark contrast to the literature. Upon introducing environmental laws we find that these may lead to a virtually pollution-free environment. This happens if environmental laws are implemented when public support is strong enough.     

The impact of new goods and service products on firm growth: evidence from Austrian-linked firm-level data

Using a matched innovation survey and structural business statistics, we investigate the impact of the introduction of new service products and other types of technological innovations on firm growth measured as subsequent two-year employment growth. Results, based on median and robust regression methods for manufacturing firms, show that, on average, both the introduction of new goods and process innovations have a significant and positive impact on subsequent firm growth. In contrast, the introduction of new services does not, on average, have a significant impact on firm growth for both manufacturing and service firms. However, quantile regressions show that the introduction of new service products has a significant and positive impact on firm growth for high-growth service firms. Finally, in manufacturing, the introduction of product innovations has a positive impact on firm growth at both the lower and higher ends of distribution (i.e. for both high-growth and shrinking firms).     

Comparison of excess social rates of return to product and process R&D

This paper reports results for a well established production function that includes research and development (R&D). By assuming zero depreciation, it can be used to provide estimates of excess social rates of return to R&D. The estimates distinguish spending on product and process innovations for three US manufacturing industries. The results suggest that, while excess social rates of return are found to be negative for product R&D, they are positive for process in each of the industries. They therefore suggest some scope for public R&D subsidies or tax benefits to process R&D but not to product R&D.     

The dynamics of technological partners: a social network perspective

The selection and establishment of research partners is increasingly important in innovation and strategic research. Using a panel dataset of patents by 2846 researchers from a large US biotechnology company between 1976 and 2013, we examined the relationships between spanning structural holes and partner dynamics, which are captured by the entry of new partners and the persistence of existing partners. Then, we tested the possible moderating effect of dynamic exploratory ability. Based on the results of negative binomial regression models with fixed effects in the longitudinal design, we found that spanning structural holes was negatively associated with the entry of new partners and positively associated with the persistence of existing partners. Furthermore, exploratory ability positively moderated these relationships. Aside from having managerial implications for innovators, the findings of our interdisciplinary study are relevant for research on partner dynamics, strategy research, and exploration processes.     

Modelling a dynamic market potential: A class of automata networks for diffusion of innovations

Innovation diffusion processes are generally described at aggregate level with models like the Bass Model (BM) and the Generalized Bass Model (GBM). However, the recognized importance of communication channels between agents has recently suggested the use of agent-based models, like Cellular Automata. We argue that an adoption or purchase process is nested in a communication network that evolves dynamically and indirectly generates a latent non-constant market potential affecting the adoption phase.Using Cellular Automata we propose a two-stage model of an innovation diffusion process. First we describe a communication network, an Automata Network, necessary for the “awareness” of an innovation. Then, we model a nested process depicting the proper purchase dynamics. Through a mean field approximation we propose a continuous representation of the discrete time equations derived by our nested two-stage model. This constitutes a special non-autonomous Riccati equation, not yet described in well-known international catalogues. The main results refer to the closed form solution that includes a general dynamic market potential and to the corresponding statistical analysis for identification and inference. We discuss an application to the diffusion of a new pharmaceutical drug.     

The dynamics of process technology adoption and the implications for upgrade decisions

The need for fundamental, as opposed to incremental change, presents managers with major uncertainty. Such change is likely to involve significant capital cost, but may also bring significant collateral costsjom, for example, retraining, and plant downtime and customer supply disruption during change implementation. This article focuses on a gstem dynamics model that captures the situation of an industry experiencing the switching of competitors' production plants to a new process technology. The model is typical of industries in commodip chemicals or other bulk manufacturing, and enables the complexity of technology moves to be represented. This facilitates a clearer understanding of the expected industry dynamics. The results show that an individual firm facing the upgrade decision must consider the impacts of the change across a number of dimensions, and demonstrates that the point in time along these industries' typical endemic capacig-building/price cycle may haue an important impact on the economics of the decision. The article is also able to draw some comparisons between this and other approaches to modelling technology change decision-making.     

The dynamics of catch-up and skill and technology upgrading in China

This paper accounts for China’s economic growth since 1980 in a unified endogenous growth model in which a sequencing of physical capital accumulation, human capital accumulation and innovation drives the rise in China’s aggregate income. The first stage is characterized by physical capital accumulation. The second stage includes both physical and human capital accumulation, and in the final stage innovation is added to the mix. Model calibrations indicate that the growth model can generate a trajectory that accords well with the different stages of development in China.