Search results

This study empirically investigates the impacts of technological innovation and operational efficiency on environmental performance and the moderating effects of environmental orientation.

We develop a conceptual framework based on the Porter Hypothesis. We collect a sample of 850 listed firms in China between 2010 and 2019. The fixed effect model was used to analyse the data.

The empirical findings reveal that technological innovation indirectly enhances environmental performance through operational efficiency and partially mediates this impact. We also find that environmental orientation strengthens the positive impacts of technological innovation and operational efficiency on environmental performance.

This study contributes to the literature by revealing that technological innovation is positively associated with operational efficiency and environmental performance, which suggests that technological innovation can simultaneously enhance business and environmental performance. Hence, this study provides empirical support for the Porter Hypothesis. The results also extend the Porter Hypothesis by revealing how technological innovation affects environmental performance and under what conditions technological innovation has a greater impact on environmental performance.

This article empirically tests the impact of risk appetite of the executive team on the re-innovation strategy after technological innovation failure using a panel regression model from the perspective of regional financial development level of enterprises.

By means of time series global principal component analysis and panel regression model method, the study validated and analyzed the impact of risk appetite of the executive team on the re-innovation strategy after enterprise technological innovation failure.

The research found that the higher the risk appetite of executive team, the more inclined the enterprise is to choose the “focusing on quantity, ignoring quality” re-innovation strategy after technological innovation failure. The better the financial development level of the region where the enterprise is located, the better it can effectively reduce the re-innovation strategy of “focusing on quantity, ignoring quality” of the enterprise due to the high risk appetite of the executive team.

The findings of this study are helpful in improving the financial development level of the region where the enterprise is located. It can help the executive team of the enterprise to more objectively choose the innovation strategy after technological innovation failure, and reduce the phenomenon that the executive team of the enterprise only pays attention to the quantity of re-innovation and underestimates the quality of re-innovation after technological innovation failure due to its high risk appetite.

Technical knowledge is a key factor in firm innovation. This study aims to construct a theoretical framework of technological boundary-spanning search, exploratory innovation and exploitative innovation to help firms adjust their search strategies and improve the effect of external resources on internal innovation.

The study uses questionnaires to collect data and conducts empirical analysis using SPSS25 and AMOS24.

Technological boundary-spanning search is positively correlated with ambidextrous innovation. Additionally, knowledge base positively moderates the effect of technological boundary-spanning search on ambidextrous innovation and knowledge distance negatively moderates the effect of technological boundary-spanning search on ambidextrous innovation. When a firm’s knowledge base is robust, its ambidextrous innovation can benefit more from technological boundary-spanning search. Additionally, when the knowledge distance is less, a firm’s ambidextrous innovation can benefit more from technological boundary-spanning search.

Considering organizational ambidexterity, this study divides firm innovation into exploratory innovation and exploitative innovation and presents a theoretical framework for the effect of technological boundary-spanning search on ambidextrous innovation. Additionally, it provides a comprehensive understanding of the crucial roles of knowledge base and knowledge distance in the relationship between technological boundary-spanning search and exploratory and exploitative innovation.

This study aims to test the link between enterprise digital transformation and technological innovation and the mechanisms and channels behind this link.

This study systematically examines whether and how enterprise digital transformation affects technological innovation in China.

Enterprise digital transformation effectively improves technological innovation. This result remains stable in robustness and endogeneity checks. The channel mechanisms of this promoting effect are internal (improvement of internal control quality and alleviation of agency costs) and external (increased attention of analysts and reduction of customer concentration). Moreover, this promoting effect is more significant for state-owned enterprises, small and medium-sized enterprises, enterprises in areas with low marketization and enterprises that do not enjoy digital subsidies from the government.

Enterprises need to attend to the mechanisms behind the link between digital transformation and technological innovation and to the unique effects of different enterprise attributes and capital markets, such as size, the ownership nature, the degree of regional marketization and government subsidies. Doing so will effectively promote digital transformation and technological innovation and strengthen core competitiveness.

This study provides systemic evidence of the link between enterprise digital transformation and technological innovation. The findings enrich the research literature on enterprise digitization and the factors of influencing enterprises’ technological innovation and provide a reasonable explanation for how enterprise digital transformation affects technological innovation.

This paper aims to examine the role of technological Innovation in ensuring resource sustainability in the water, energy and food (WEF) nexus, as there exists a shortage of statistical research on the extent of the influence of technological Innovation on the WEF nexus.

The study used a quantitative research method, using a well-structured questionnaire to collect data from management staff in the WEF departments in South Africa. The collected data were analyzed by using mean score ranking, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) for structural equation modelling (SEM).

The findings show that the technological process of technological innovation is significant for resource sustainability. The result also showed that technological innovations directly and statistically significantly affect WEF nexus. The EFA resulted in three components of WEF nexus product innovation, WEF nexus process innovation and WEF nexus novel innovations. Furthermore, the CFA and SEM analysis reveals that six technological innovation indicators influence the sustainability of the nexus: smart water metering technology, smart metering technology, food quality monitoring technology, agricultural technology solutions, new technological design and eco-friendly WEF products.

The sustainability of these three inevitable resources for man’s survival is dependent on technological innovations, and this study has shown the major categories of innovations needed, thus establishing a pathway for engineering design.

This paper empirically explored the influence of external and internal factors on technological and non-technological innovation of 5747 Indian firms. The study also explored novel insights about manufacturing firms by segregating them into high-technology and low-technology industries.

The study employed hierarchical regression analysis to analyse a cross-sectional dataset gathered from the World Bank enterprise survey. The firms are segregated into high-technology and low-technology industries based on the technology-intensity classification of the manufacturing industry given by the Organisation for Economic Co-operation and Development.

The main results highlight that technological and non-technological innovation was primarily driven by internal resources and capabilities rather than external factors. The authors found the highest effect of research and development spending on both forms of innovation. In both high-tech and low-tech industries, technology transfer is positively associated with technological innovation and negatively associated with non-technological innovation. Furthermore, external business support has substantially influenced non-technological innovation in low-tech industries.

This study used two-step hierarchical regression to explore the influence of external and internal factors on technological and non-technological innovation separately. Exploring determinants of innovation in high-technology and low-technology industries also brings the distinct prerequisites of enhancing innovation to the attention of policymakers and industry experts.

This study aims to evaluates a public policy program that finances projects for the development of innovative technological solutions. This paper analyzed the influence of human and social capital on the development of the projects, under the perspective of the policy’s effectiveness and efficiency. This specific policy adopted the funding model of economic subsidy by means of grants, which shows the significant engagement of the public sector in applying nonrefundable resources more directly through loans, assuming the role of an entrepreneurial state, according to Mazzucato (2011, 2018) and Tavani and Zamparelli (2020).

This is a quantitative-descriptive study, according to Marconi and Lakatos (2017). This study is descriptive, for presenting information on innovation projects funded by FUNCAP (Ceará Foundation for Support to Scientific and Technological Development). In addition, this study is quantitative, by establishing multivariate relationships among the variables that relate to human capital and social capital, which are relevant to technological and innovative development, and by introducing variables on technological evolution, proposed as measures of the program’s effectiveness (DTRL, MkTRL) and efficiency (ETRL).

This paper sought to contribute on public policies for innovation, more specifically on analyzing variables that may affect the development of technological and innovative projects in knowledge-intensive companies. The authors studied capitals potentially important for these companies in the development of innovative projects. Specifically, the authors sought to understand the importance of human capital and how it reflects in technical and scientific knowledge of the project team and of social capital and how it reflects the connection and social relationship among different team members. The results presented that the degree of efficiency of the public funding program depends on how much the teams of the benefited projects have accumulated knowledge, skills and technical capacities – the so-called teams’ human capital.

It is important to address the research sample as a research limitation, which had 72 responses obtained, from a submission rate of 284. Another study limitation is on the qualitative analysis of the topics addressed from the companies and policymakers perspectives, considering that the quantitative nature of the study does not allow for a deeper understanding of the qualitative perspective of the actors involved in the phenomenon studied. As recommendations for future studies, it is suggested to conduct qualitative studies on the aspects studied here. In this sense, it is possible to conduct case studies for specific companies, or policymakers, to clarify and deepen the relationships between the themes addressed here.

As for the practical implications of the research, both for managers of public funding programs and for company managers, the benefits of human capital, related to innovative project development teams, are important in programs that deal with technological development projects. In practice, this means that the greater the human capital of academic background of the members of the supported project teams, the more efficient the projects are in the process of developing their technologies by using the resources provided (Ashford, 2000; Chen et al., 2008; Lerro et al., 2014).

Hence, the authors conclude that the evaluated innovation-funding program through grants achieved acceptable results in terms of promoting the technological evolution of the benefited projects and bringing the technologies closer to the market. Its efficiency was the least favorable result, showing that the program needs to focus on improving this specific aspect. Within the investigated program, the issue that needs enhancement (efficiency – ETRL) was the one that presented significant relationships with the human and social capital of the benefited projects’ teams. Thus, it is possible that, by selecting more projects that have teams with high capital, the efficiency of the public policy, in this case the development of projects with high technological and innovative potential, will be possibly reached.

The findings strengthen the need for innovation public policies designed and implemented in a systemic way in the science, technology and innovation ecosystem, to provide a technological infrastructure and human capital necessary for developing projects with high technological and innovative potential (Ergas, 1987; Audretsch and Link, 2012; Caloghirou et al., 2015; Edler and Fagerberg, 2017; Silvio et al., 2019).

This study aims to build a theoretical model including intermediate-level outside-in marketing capabilities (ILOIMC), radical and incremental technological innovations and management innovation.

This research used 272 pairs of survey questionnaires from Chinese firms’ managers to examine the hypotheses.

The results indicate that ILOIMC enhance management innovation by stimulating radical technological innovation. Furthermore, the mediating effect of incremental technological innovation depends on technological turbulence.

This study may have several limitations which future research could try to overcome: cross-sectional data, Chinese samples, exclusive focus on ILOIMC, sociotechnical approach to innovation typology and measuring ILOIMC as a first-order variable.

ILOIMC can significantly improve innovations in technology and management systems by using customer value and market information.

This study proposes a new taxonomy to classify marketing capabilities into lower-level inside-out marketing capabilities, ILOIMC and higher-level outside-in marketing capabilities. It also provides an explicit discussion and examination of the influence of ILOIMC on technological and management innovations and the contingency effect of technological turbulence. Thus, it responds to Musarra and Morgan’s (2020) call for more research into the mechanism that explains when (the conditions under which) and how (the process by which) outside-in marketing capabilities could contribute to firm innovation.

The construction industry has shown an inherent inability to adopt advanced technological innovations. The construction innovation literature is highly fragmented and outlines an overwhelming number of factors that arguably influence the transfer of technological innovations in construction. Factor-based research in the construction innovation literature tends to set out technological innovations and their adoption as socially neutral events, overlooking the role of context in the adoption process. Hence, the authors’ understanding of how technological innovations are transferred and implemented in the construction industry remains limited by the constraints of reductionist approaches adopted by factor-based research. This paper aims to advance the authors’ understanding of the actual experiences of technological innovations transfer in construction. Instead of introducing another set of factors, the research, through empirical investigation, develops a comprehensive and holistic framework to re-interpret the existing factor-based literature taking into consideration the role of the construction context and the socially constructed nature of technological innovations.

This research uses a participatory exploratory multiple case study design strategy, which has much in common with action research. The factors that could influence the transfer of technological innovations were investigated in three selected case studies over an extended period of time. During the research, a prototype system application of construction integration was used as a basis to discuss the adoption of technological innovations.

The findings suggest moving from the commonly held beliefs in the rational school of technological innovation and the functionalist paradigm towards constructivist approaches to capture the role of context and the stoically constructed nature of technological innovations. It is suggested that construction companies need to develop management capabilities to manage the changing political environments of the adoption process. The research supports the emerging view of technological innovations in construction as a collaborative-based innovation, which is a function of relationships and context.

The research is limited by the settings of the action research design and the use of an interpretive approach. Because the focus was on investigating the “why” question, little attention was given to the “how” question. Accordingly, the findings provide little insights into the way organizations can manage the changing political and social environment of the adoption process. The authors also acknowledge that in spite of their best efforts to build a theoretically grounded framework of factors, they may have overlooked some relevant studies. However, the objective of this research was not to conduct a systematic literature review or to come up with a framework that quantitatively captures all previous research studies; instead, the objective was to build a holistic framework that can be used as a base to analyze the role of construction context and the socially constructed nature of technological innovations in the adoption process.

The research offers several practical insights. First, it suggests that construction companies need to develop management capabilities to be able to lead the changing political environment of the adoption process successfully. Second, the research supports the emerging view of technological innovations in construction as a collaborative-based innovation that is a function of relationship. From a policy perspective, the research provides the basis to reconsider the effectiveness of federal and provincial policies that promote advanced technological Initiatives. The majority of these policies focus on the technical aspects in assessing the adoption of technological innovation, providing little incentives to companies to manage the changing political and social environment of the adoption process.

This research offers several theoretical and methodological contributions. First, it advances the authors’ understanding of the actual experiences of the transfer of technological innovations in construction organizations. Second, instead of introducing another set of factors, the research develops a framework to re-interpret the existing factor-based literature, considering the role of construction context and the socially constructed nature of technological innovations. The research uses the theoretical lens of the social construction of technology framework to analyze the adoption process. The existing literature suggests that such research is scarce and highly needed. Third, unlike the mainstream reductionist approaches, this research adopts an exploratory action research inquiry design that uses both inductive and deductive inquiry approaches to understand the socially constructed nature of innovation transfer in construction. The adopted research design offers a valuable methodological contribution to the existing body of knowledge.

Firm innovative performance in emerging markets must take into account the peculiarities of their competitive environment. Research on the effect of innovation on firm performance focuses mainly on high-tech firms in developed countries. This study proposes a model that empirically examines how technological and non-technological innovation influence Peruvian manufacturing firms' performance.

Using the resource-based view, a model is proposed that allows the mediation effects of technological innovation and non-technological innovation on firm performance among low and medium-low technological intensity manufacturing firms to be analyzed. The study uses structural equation modeling and mediation analysis with data from 503 Peruvian firms researched in the 2012 National Survey of Innovation.

The model's validation shows that the integrated perspective is relevant for emerging markets like Peru. Moreover, the results confirm that technological and non-technological innovation and their interrelationship are important for understanding the performance dimensions of Peruvian manufacturing firms.

This paper contributes to the literature on innovation in Latin American economies, proposing and validating a model that combines the mediation effects of technological and non-technological innovation to explain the relevant dimensions of firm performance in emerging markets.