14,551 research outputs found
Investigating the impact of networking capability on firm innovation performance:using the resource-action-performance framework
The author's final peer reviewed version can be found by following the URI link. The Publisher's final version can be found by following the DOI link.Purpose
The experience of successful firms has proven that one of the most important ways to promote co-learning and create successful networked innovations is the proper application of inter-organizational knowledge mechanisms. This study aims to use a resource-action-performance framework to open the black box on the relationship between networking capability and innovation performance. The research population embraces companies in the Iranian automotive industry.
Design/methodology/approach
Due to the latent nature of the variables studied, the required data are collected through a web-based cross-sectional survey. First, the content validity of the measurement tool is evaluated by experts. Then, a pre-test is conducted to assess the reliability of the measurement tool. All data are gathered by the Iranian Vehicle Manufacturers Association (IVMA) and Iranian Auto Parts Manufacturers Association (IAPMA) samples. The power analysis method and G*Power software are used to determine the sample size. Moreover, SmartPLS 3 and IBM SPSS 25 software are used for data analysis of the conceptual model and relating hypotheses.
Findings
The results of this study indicated that the relationships between networking capability, inter-organizational knowledge mechanisms and inter-organizational learning result in a self-reinforcing loop, with a marked impact on firm innovation performance.
Originality/value
Since there is little understanding of the interdependencies of networking capability, inter-organizational knowledge mechanisms, co-learning and their effect on firm innovation performance, most previous research studies have focused on only one or two of the above-mentioned variables. Thus, their cumulative effect has not examined yet. Looking at inter-organizational relationships from a network perspective and knowledge-based view (KBV), and to consider the simultaneous effect of knowledge mechanisms and learning as intermediary actions alongside, to consider the performance effect of the capability-building process, are the main advantages of this research
Operations capability, productivity and business performance: the moderating effect of environmental dynamism
Purpose – The purpose of this study is to investigate the relationships between operations capability, productivity and business performance in the context of environmental dynamism. Design/methodology/approach – A proposed conceptual framework grounded in the resourcebased view (RBV) and dynamic capability view (DCV) is analysed using archival data from 193 automakers in the UK.
Findings – The results show that operations capability, as an important dynamic capability, has a significant positive effect on productivity, which in turn leads to improved business performance. The results also suggest that productivity fully mediates the relationship between operations capability and business performance, and that environmental dynamism significantly moderates the relationship between operations capability and productivity.
Practical implications – The research findings provide practical insights that will help managers develop operations capability to gain greater productivity and business performance in a dynamic environment
Qualitative Case Studies in Operations Management: Trends, Research Outcomes, And Future Research Implications
Our study examines the state of qualitative case studies in operations management. Five main operations management journals are included for their impact on the field. They are in alphabetical order: Decision Sciences, International Journal of Operations and Production Management, Journal of Operations Management, Management Science, and Production and Operations Management. The qualitative case studies chosen were published between 1992 and 2007. With an increasing trend toward using more qualitative case studies, there have been meaningful and significant contributions to the field of operations management, especially in the area of theory building. However, in many of the qualitative case studies we reviewed, sufficient details in research design, data collection, and data analysis were missing. For instance, there are studies that do not offer sampling logic or a description of the analysis through which research out-comes are drawn. Further, research protocols for doing inductive case studies are much better developed compared to the research protocols for doing deductive case studies. Consequently, there is a lack of consistency in the way the case method has been applied. As qualitative researchers, we offer suggestions on how we can improve on what we have done and elevate the level of rigor and consistency
Life Cycle Assessment Practices: Benchmarking Selected European Automobile Manufacturers
With the rise of environmental concerns in the general public, re-appropriated by influential politicians, Life Cycle Assessment (LCA) has become a widely used set of tools for the management of all impacts on environment by industrial products. LCA is carried out at the very early stages of product research, development and design. This is particularly true in the automobile industry where vehicle manufacturers Original Equipment Manufacturers (OEMs) are launching several new or re-vamped models each year. The automobile industry is therefore a very emblematic sector for best practices of LCA. The paper is based on available literature and interviews with top LCA professionals in Germany-based OEMsLife cycle assessment; automobile; best practices
Simultaneous experimentation as an entrepreneurial strategy for emergent markets: Transcending the trade-off between flexibility and funding?.
The unpredictable nature of emergent markets implies that ventures entering such markets are confronted with technological and commercial uncertainty. Defining a viable business model under such circumstances is a complex and precarious endeavour. Previous research has either advanced the idea of focus – in order to attract resources and realize first mover advantages – or sequential experimentation financed through bootstrapping, implying limited resources during initial phases of the venture. As such, a trade-off between flexibility and resource acquisition has been introduced. Within this contribution we explore how ventures starting up in emergent industries can balance the attainment of financial resources with flexibility and business model adaptation. Based on a sequence analysis of six case studies, we identify two distinctive approaches to business development in emergent industries: focused commitment versus simultaneous experimentation. Our findings reveal that focused commitment is instrumental for acquiring resources but at the same time impedes flexibility, while simultaneous experimentation allows to attract resources while maintaining manoeuvring space for business model adaptation. An analytical comparison of both approaches suggests that simultaneous experimentation is indeed a more viable strategy when entering emergent industries.entrepreneurial opportunities; business model; uncertainty; commitment; experimentation;
Eco-innovation practices’ adoption in the automotive industry
Eco-innovation is a construct that is gaining increasing interest from academics and researchers since it is commonly considered in the literature as one of the strategies that allow manufacturing companies not only to significantly reduce the negative impacts on the environment but also the generation of pollutants. However, little is known about the adoption of eco-innovation practices in manufacturing companies, particularly in the automotive industry. Therefore, this research has as main objective to fill this gap in the literature and explore the interdependence between eco-innovation of products, processes and management. The study is conducted through a research framework consisting of 3 measurement scales, 14 items and 3 hypotheses and an extensive review of the literature. A self-administered questionnaire was distributed to a sample of 460 companies in the automotive and auto parts industry in Mexico. Data were analyzed through Confirmatory Factor Analysis, Descriptive Statistics and Structural Equation Modelling. The results obtained show that product eco-innovation, process eco-innovation and management eco-innovation are good indicators for the adoption of eco-innovation practices for companies in the automotive and auto parts industry. The paper addresses a research gap in the academic literature in the eco-innovation field by providing evidence on the interdependence between eco-innovation of products, processes and management and the implementation of their practices in the automotive industry.N/
UK-China collaborative study on low carbon technology transfer: final report
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Innovation Policies for Small and Medium Size Enterprises in Asia: An Innovation Systems Perspective
The point of departure for this chapter is that in developing countries SMEs2 are responsible for the largest part of employment and a significant share of added value. And that innovation policy supporting the particularities of SMEs has been widely ignored (occasionally SMEs have even been discriminated). This chapter aims at shedding soe light on the immensely complicated issue of innovation policy for SMEs in developing countries, or more specifically Asian SMEs. The chapter applies the so-called regional innovation systems approach. In this paper, we analyze four clusters of SMEs that have been especially successful in entering the global market; special attention is paid to the so-called soft infrastructure, the industry specific needs for cluster (e.g. interaction) and RIS dynamics/polices (e.g. needs for devolution; industry specific needs for building knowledge creating institutions).The chapter is structured as follows. After introducing stylized facts on SMEs innovative performance attention is turned to the theoretical framework. Taking into account the localized nature of SMEs economic activity, our level of analysis is the regional system of innovation (RIS). We provide a general introduction, contextualize this to Asian situation, and introduce the industry differences (inspired by Pietrobelli and Rabelotti’s typology). Then we turn to the empirical section where special attention is paid to the four cases. Finally, we turn to drawing general conclusions on innovation policies and need for restructuring of Asian innovation systems (the accent is on the former).Innovation Policy; Developing countries; Innovation systems
When costs from being a constraint become a driver for concept generation
Managing innovation requires solving issues related to the internal development and engineering processes of a company (supply side), in addition to facing the market and competition (demand side). In this context, the product development process is crucial, as different tradeoffs and issues that require managerial attention tend to arise. The main challenges result in managers requiring practical support tools that can help them in planning and controlling the process, and of designers requiring them for supporting their design decisions. Hence, the thesis aims to focus on product costs to understand its influence on design decisions as well as on the overall management of the product development process. The core part of the thesis is based on the models and methods developed for enhancing cost analysis at the beginning of the product development process.
This investigation aims to determine the importance of cost estimation in improving the overall performance of a newly designed product. The focus on post-sales and, more generally, on the customer, has become so relevant that manufacturers have to take into account not only the most obvious aspects about the product and related services, but even consider the associated implications for customers during product use. However, implementing a product life cycle perspective is still a challenging process for companies.
From a methodological perspective, the reasons include uncertainty regarding the available approaches and ambiguity about their application. In terms of implementation, the main challenge is the long-term cost management, when one considers uncertainty in process duration, data collection, and other supply chain issues. In fact, helping designers and managers efficiently understand the strategic and operational consequences of a cost analysis implementation is still a problem, although advanced methodologies for more in-depth and timely analyses are available. And this is even more if one considers that product lifecycle represents a critical area of investment, particularly in light of the new challenges and opportunities provided by big data analysis in the Industry 4.0 contexts.
This dissertation addresses these aspects and provides a methodological approach to assess a rigorous implementation of life-cycle cost while discussing the evidence derived from its operational and strategic impacts. The novelty lies in the way the data and information are collected, dynamically moving the focus of the investigation with regard to the data aggregation level and the product structure. The way the techniques have been combined represents a further aspect of novelty. In fact, the introduced approach contributes to a new trend in the Product Cost Estimation (PCE) literature, which suggests the integration of different techniques for product life-cycle cost analysis.
The findings obtained at the end of the process can be employed to assess the impact of platform design strategy and variety proliferations on the total life-cycle costs. By evaluating the possible mix of options, and hence offering the optimal product configuration, a more conscious way for planning the product portfolio has been provided. In this sense, a detailed operational analysis (as the cost estimation) is used to inform and drive the strategic planning of the portfolio.
Finally, the thesis discusses the future opportunities and challenges for product cost analysis, assessing how digitalisation of manufacturing operations may affect the data gathering and analysis process. In this new environment, the opportunity for a more informed, cost-driven decision-making will multiply, leading to varied opportunities in this research field
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