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This study analyzes how the innovation ecosystem helps integrate technology-push and market-pull strategies in the Industry 4.0 paradigm.

This study investigates companies' involvement in the Industry 4.0 paradigm through technology-push strategies, and through both technology-push and market-pull strategies. The authors perform two econometric logit models to test the influence of collaborations with heterogeneous actors, research and university relationships, and relations with business incubator (the pivot actor) on companies' involvement in Industry 4.0.

The study empirically shows that developing relationships with a greater diversity of actors, collaborating with university and research laboratories, and developing intense relationships with business incubator increase the likelihood for companies to integrate both technology-push and market-pull strategies in companies' involvement in the Industry 4.0 paradigm.

This study provides insights to practitioners who are interested or involved in the new Industry 4.0 paradigm. The authors' study explains how specific features of an innovation ecosystem, such as complex interactions among actors, can stimulate creative ideas and successfully implement innovations to address Industry 4.0 challenges.

First, the authors confirm the role of the innovation ecosystem on companies' involvement in the Industry 4.0 paradigm. Second, the authors study highlights that the innovation ecosystem is a new relevant framework that enables companies to integrate both technology-push and market-pull strategies. Third, we provide empirical evidence about the role of business incubator on firms' strategies to get involved in the Industry 4.0 paradigm.

As traditional manufacturing, previously vital to the UK economy, is increasingly outsourced to lower‐cost locations, policy makers seek leadership in emerging industries by encouraging innovative start‐up firms to pursue competitive opportunities. Emerging industries can either be those where a technology exists but the corresponding downstream value chain is unclear, or a new technology may subvert the existing value chain to satisfy existing customer needs. Hence, this area shows evidence of both technology‐push and market‐pull forces. The purpose of this paper is to focus on market‐pull and technology‐push orientations in manufacturing ventures, specifically examining how and why this orientation shifts during the firm's formative years.

A multiple case study approach of 25 UK start‐ups in emerging industries is used to examine this seldom explored area. The authors offer two models of dynamic business‐orientation in start‐ups and explain the common reasons for shifts in orientation and why these two orientations do not generally co‐exist during early firm development.

Separate evolution paths were found for strategic orientation in manufacturing start‐ups and separate reasons for them to shift in their early development. Technology‐push start‐ups often changed to a market‐pull orientation because of new partners, new market information or shift in management priorities. In contrast, many of the start‐ups beginning with a market‐pull orientation shifted to a technology‐push orientation because early market experiences necessitated a focus on improving processes in order to increase productivity or meet partner specifications, or meet a demand for complementary products.

While a significant body of work exists regarding manufacturing strategy in established firms, little work has been found that investigates how manufacturing strategy emerges in start‐up companies, particularly those in emerging industries.

Integrating supplier innovation is considered an effective strategy to reduce uncertainty at the fuzzy front end (FFE). However, the large number of supplier innovation resources and the task environment forces buying firms to precisely identify more valuable or interesting innovation resources for integration. The impact of the interaction between supplier innovation and task environment on FFE performance needs to be further explored. Therefore, this paper aims to propose a contingency framework to examine the relationship between supplier innovation (technology-push and market-pull) and buying firm’s FFE performance in different task environments, with the aim of clarifying which supplier innovation resources should be integrated to create high FFE performance in the face of an uncertain task environment.

Survey data from new product development team leaders in Chinese high-tech firms were collected and analyzed. Furthermore, using multiple regression analysis, the relationship among supplier innovation, task environment and FFE performance was examined.

The results show that although both technology-push and market-pull supplier innovation can improve FFE performance, there are significant differences between the influences of these two types of supplier innovation in the face of different task environments.

Practical guidelines are provided for buyer managers on how to effectively identify the “best” supplier innovation resources to improving the effectiveness and efficiency of supplier involvement in the FFE.

This paper deepens the knowledge of identifying supplier innovation resources in the FFE and enriches the research on supplier-enable FFE innovation.

Technology Push Defined What do we mean by “technology push?” Let's first go to Webster for some assistance. Two of the formal definitions that apply to the word push are “to shove” and “to give impetus.” These definitions seem relevant, for what we are dealing with when we talk about technology push is frequently a situation where an organization finds itself with technology that has not been “demanded” by the potential market and therefore, it literally has to push that technology toward its potential markets.

In the UK as more and more traditional manufacturing is being outsourced to lower-cost countries, the development of manufacturing start-up companies is increasingly perceived as important in sustaining a competitive UK manufacturing base. However, start-up companies are often associated with a high failure rate, particularly during the early stages of operation. As they have yet to build up the strength and resources to sustain them through internal and external crises, start-ups operate under conditions that constantly challenge their survival. Developing the most appropriate manufacturing strategy is probably more critical in start-up companies than in established organisations, yet little research has addressed this area.

This paper reports the findings of an exploratory study involving six UK manufacturing start-up companies. A novel manufacturing strategy content framework is proposed. The chapter also examines the business orientation (technology-push or market-pull) adopted by the case companies, and investigates how business orientations influenced their manufacturing strategies. This leads to two business orientation mobility models. This chapter concludes by discussing the use of the frameworks and suggesting how they might be put into practice to provide assistance to operational managers in start-up companies.

Develops an original 12‐step management of technology protocol and applies it to 51 applications which range from Du Pont’s failure in Nylon to the Single Online Trade Exchange for Auto Parts procurement by GM, Ford, Daimler‐Chrysler and Renault‐Nissan. Provides many case studies with regards to the adoption of technology and describes seven chief technology officer characteristics. Discusses common errors when companies invest in technology and considers the probabilities of success. Provides 175 questions and answers to reinforce the concepts introduced. States that this substantial journal is aimed primarily at the present and potential chief technology officer to assist their survival and success in national and international markets.

The purpose of this study was to identify technological innovation in libraries and further examine the knowledge source and their effects during the technology life cycle (TLC).

This paper discusses the technological innovation taking place in libraries. Patent citation analysis was used to capture the trend of technological innovation associated with libraries.

The findings are as follows: (1) library technologies are now in the ascent phase of their life cycles; (2) private companies from the United States, Germany, France, Japan and the United Kingdom are the top-five owners of intellectual property rights associated with library technology and (3) patent data along with knowledge and technology indicators can be interpreted in the light of library development. The knowledge source with the highest degree of scientific and technological orientation was identified as basic material chemistry. The major technological categories that have received the greatest knowledge effect from library-associated technological innovation are chemistry, electrical engineering, instruments, mechanical engineering, with other fields (civil engineering and furniture, games) being subject to less effect.

There are two research limitations in this study. First, the results use single informants, patents retrieved from United States Patent and Trademark Office, as the source of data. Second, this study uses patent citation measures for exploring the knowledge source and effect of technological innovation, these measures are only subjective for those new invention highly based technological advances. This study concludes that technological innovation for libraries will be characterized by an increasing role for science-intensive and interdisciplinary areas. This study also suggests that organizational learning facilitates innovation. Therefore, a library hoping to co-evolve with dynamic environment through technological innovation should improve its organizational learning processes.

Theories of technology-push and demand-pull were examined in relation to technological innovation taking place in libraries. The TLC analysis indicated that library technology is mainly in the ascent stage, suggesting that libraries have not achieved the strongest technological transformation. The findings suggest that the importance of demand-pull and technology-push vary over the TLC of libraries.

To survive in a dynamic environment library must be able to cope with increasing complexity and high-speed technological change. It is pivotal to integrate the views of users (as customers), software houses or design companies (as suppliers) as well as other libraries (as communities) into the sustainable development strategy of a library. In these contexts, libraries with the capacity to innovate will be able to respond to new demands faster and to invent and provide new services better than noninnovative libraries.

Analysis based on the technological innovation perspective to identify the future development of libraries is still lacking. This paper seeks to identify the technological innovation employed in libraries to accommodate the 21st century model of information-seeking behavior. This study identifies a variety of factors that have influenced the transformation of library services, and these include technology developments and new demands from library users. To illustrate the driving forces of technology-push in libraries, this paper examines holistic-patented technologies invented for libraries.

To provide executives and scholars with pragmatic understanding about integrating knowledge management strategy and technologies in business processes for successful performance.

A comprehensive review of theory, research, and practices on knowledge management develops a framework that contrasts existing technology‐push models with proposed strategy‐pull models. The framework explains how the “critical gaps” between technology inputs, related knowledge processes, and business performance outcomes can be bridged for the two types of models. Illustrative case studies of real‐time enterprise (RTE) business model designs for both successful and unsuccessful companies are used to provide real world understanding of the proposed framework.

Suggests superiority of strategy‐pull models made feasible by new “plug‐and‐play” information and communication technologies over the traditional technology‐push models. Critical importance of strategic execution in guiding the design of enterprise knowledge processes as well as selection and implementation of related technologies is explained.

Given the limited number of cases, the framework is based on real world evidence about companies most popularized for real time technologies by some technology analysts. This limited sample helps understand the caveats in analysts' advice by highlighting the critical importance of strategic execution over selection of specific technologies. However, the framework needs to be tested with multiple enterprises to determine the contingencies that may be relevant to its application.

The first comprehensive analysis relating knowledge management and its integration into enterprise business processes for achieving agility and adaptability often associated with the “real time enterprise” business models. It constitutes critical knowledge for organizations that must depend on information and communication technologies for increasing strategic agility and adaptability.

The purpose of this study is to estimate and extract various significant technology push (TP) strategies influencing sustainable development in Indian manufacturing industries. The study critically examines the effectiveness of TP strategies in manufacturing enterprises.

An extensive survey of 92 companies has been executed to identify improvements made by TP strategies to achieve sustainable development in manufacturing industries. The companies in the survey include medium− and large−scale manufacturing enterprises. The correlations between various TP strategies and sustainable development indicators are evaluated and validated using various numerical methods and tools.

The focus of the paper is on the distinguishable contributions made by TP strategies such as innovative capability; research and development; corporate strategy; and export orientation toward achieving sustainable development. The inter−relationships between different TP practices with sustainable development indicators have been evaluated to efficiently manage the objectives of growth and sustainability. The research concludes that two TP strategies, namely, corporate strategy and innovative capability, are found to be substantial in the present context. These strategies have emerged as a foundation for several development initiatives and actively support manufacturing industries in accomplishing sustainable development. however, enterprises need to work more actively on improving less significant issues of TP.

In the present investigation, contributions made by TP practices have been evaluated to accomplish sustainable development in Indian manufacturing industries. Hence, the results obtained may need some modifications before applying to other countries. Moreover, issue−wise independent modeling can also be performed to assess the importance of TP strategies under specific orientations.

The research gives priority to enhancement in the planning among various TP practices and sustainable development indicators in the industries to impart TP as an important practice to meet various challenges of competent markets worldwide.

It has been exhibited from the observations that adequate TP strategies can efficiently contribute toward recognition of sustainable development to compete in the highly progressive global market. The results of various inter−relationships among TP practices and sustainable development indicators represent the effectiveness of TP practices for accomplishment of social and organizational objectives.

It has been investigated in the present study that TP practices are significant initiatives taken by the manufacturing industries for performance improvement and sustainable development. The paper elaborates the study to find out TP issues that need to be assessed significantly to avail the advantages of sustainable development and to meet the challenges posed by global market. The inter−relationships among TP strategies and sustainable development indicators have been analyzed using various statistical tools and techniques, such as inter−item covariance test; Pearson’s correlation analysis; multiple regression analysis; analytic hierarchy process and canonical correlation analysis.

This study aims to investigate the motivations for the adoption of Industry 4.0 technologies among manufacturing firms in developing economies. Specifically, the effects of relative advantage of the technologies, competitive pressure, and government support on the adoption are explored. Moreover, the mediating role of top management support between environmental factors (government support and competitive pressure) and the adoption of Industry 4.0 technologies is examined.

A research model is developed based on the technology-organization-environment (TOE) framework strengthened by institutional theory. Structural equation modeling (SEM) approach is employed to evaluate the model using data obtained from 215 manufacturing firms through a cross-industry survey. Additionally, a post-hoc analysis is conducted using cluster analysis and ANOVA.

The results show that competitive pressure and government support significantly promote top management support, which in turn contributes to the adoption of Industry 4.0 technologies. Relative advantage of the technologies is not significantly related to the adoption.

This study does not explore the relationship between technology type and the specific needs of manufacturing firms. Future researchers can conduct a more comprehensive analysis by examining how different technology types align with the unique needs of individual companies.

The findings of this study have implications for both policymakers and managers. Policymakers can leverage these insights to understand the underlying motivations behind manufacturing firms' adoption of Industry 4.0 technologies and develop promoting policies. In turn, managers should keep an eye on government policies and utilize government support to facilitate technology adoption.

This study uncovers the underlying motivations—government support and competitive pressure—for the adoption of Industry 4.0 technologies among manufacturing firms in developing economies. Meanwhile, it complements previous research by showing the mediating role of top management support between environmental factors (government support and competitive pressure) and the adoption of Industry 4.0 technologies.