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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.

The purpose of this study is to examine the impact of technological diversification (TD) on enterprise innovation performance, meanwhile focusing on the moderating effects of various organizational slack (i.e. absorbed and unabsorbed slack) and ownership types (i.e. state-owned or privately-owned) in the context of Chinese listed firms.

This study formulates five hypotheses based on organization and agency theories. Our empirical analysis employs a fixed-effect regression estimator with a unique panel dataset of Chinese-listed manufacturing firms and 13,566 firm-year observations over 9 years from 2012 to 2020.

Our findings show that an inverted U-shaped relationship exists between TD and innovation performance, varying with different types of organizational slack and ownership. In state-owned enterprises (SOEs), unabsorbed slack negatively moderates the inverted U-shaped relationship; however, in privately-owned enterprises (POEs), this relationship is positively moderated. Although absorbed slack has negative moderating effects in both SOEs and POEs, its impact is only significant for POEs.

Our results imply that organizational slack has a contrasting impact on the relationship between TD and innovation performance when the type of ownership varies. Therefore, the managers that intend to achieve optimal innovation performance through TD should understand how organizational slack can be leveraged.

This study contributes to the existing literature by applying the relationship between TD and innovative performance to the transition economy, as well as examining the double-edged sword impact of state ownership on firm innovation performance.

This paper aims to examine the different impacts of six variables on firm technological innovation performance in different high-tech industries in China. Through a comparative analysis of data about growth enterprises market board (GEM)-listed companies, this study attempts to get some conclusions, to help firms in different high-tech industries use resources more rationally and to improve technological innovation performance more effectively.

This paper constructs semi-parametric models based on the relevant data of GEM-listed companies during 2010 to 2015 for different high-tech industries. These models can ensure that the influencing factors of firm technological innovation performance are no longer restricted to a particular aspect but can provide a comprehensive comparative analysis of the effects of factors on firm technological innovation performance in different high-tech industries.

The empirical results show that R&D expenditures have a significant positive impact on firm technological innovation performance in most high-tech industries, but not in electronic and communication equipment manufacturing industry; R&D personnel investment and government subsidies have significant positive impacts on firm technological innovation performance in knowledge-oriented industries; technology diversity has a significant positive impact on firm technological innovation performance in technology-oriented industries; the proportion of exports shows an inverted U-shaped relationship with firm technological innovation performance in electronic and communication equipment manufacturing industry, while firm size shows an inverted U-shaped relationship with firm technological innovation performance in general equipment manufacturing industry; and the effect of semi-parametric model fit is superior to the general parameters model.

Drawing on the resource dependence perspective, this paper is the first to consider a comprehensive treatment of differential effects of internal resources (R&D personnel, R&D expenditure), external resources (government subsides) and firm characteristics (firm size, export ratio) on firm technological innovation performance in different high-tech industries in an emerging country, in particular in contrast to previous studies that have focused on a single industry or taken the type of industry as a control variable. In addition, most studies about the determinants of firm innovation performance are based on survey questionnaires, which may introduce large subjective errors. Setting the relationship between variables in advance may also introduce fit error when using a general-parameter model. Semi-parametric regression which is used in this paper is able to prevent this shortcoming effectively. When constructing a regression model, this can be exempted from the formal constraints, thus estimating data more accurately and ensuring superior fit.

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.

This paper aims to investigate the influence of the information processing paradigm (information sharing and quality) on firm performance using organizational information processing theory (OIPT) in emerging marketing. This research also pursues to explore the underpinning mediation mechanism of technological innovation in the association between the information processing paradigm and firm performance.

Using the survey method, this study recruited 331 textile SME entrepreneurs and validated the proposed model and hypotheses in AMOS.

The outcomes reveal that information sharing, information quality and technological innovation are positively related to firm performance, while technological innovation mediates the association between the information processing paradigm (i.e. information sharing and information quality) and firm performance.

The findings enable the firms to bring technological innovation and realize the best performance by seeking and sharing valuable information across the firm. The managers should ensure a culture of quality information sharing, improve coordination among departments and discourage irrelevant/fake information. Such practices are beneficial for firm decision-makers when formulating business plans and focusing on communication mechanisms that will assist them in attaining higher innovation levels and firm performance.

This paper theoretically and empirically contributes to examining the influence of the information processing paradigm on firm performance, which was ignored in information and performance management literature. Moreover, to the best of the author’s knowledge, this is the first study that investigates the mediation mechanism between the information processing paradigm and firm performance.

Research shows how with the evolution of technologies, technological opportunism enables firms to effectively identify and exploit innovations and opportunities through strategic management practices, such as adopting an entrepreneurial orientation. The study’s purpose is to explain the nature of the relationship between technological opportunism and innovation performance, while accounting for any possible moderating effects of entrepreneurial orientation.

A cross-sectional design was used to collect primary data from targeted respondents (n = 347) in the South African banking sector. Initially, instrument validity and reliability is established and the hypotheses are tested using multiple regression analyses.

The findings support the hypotheses insofar higher levels of technological opportunism are positively associated with higher levels of innovation performance, which is moderated by entrepreneurial orientation in terms of innovativeness, risk-taking and proactiveness. Moreover, competitive hostility, as a control played a significant role in the moderation effect between technological opportunism and innovation performance.

Leaders need to appreciate the importance of an entrepreneurial organization in leveraging technological opportunities which is pivotal for emerging economies, rather than individual entrepreneurial activities, which are rarely scalable in African economies.

The study provides an original contribution by increasing the theoretical and empirical reach of research on entrepreneurial orientation and technological opportunism. Since the original scales have primarily been employed in developed economies, by verifying their psychometric properties, this now allows for further replication studies to take place in other similar emerging market contexts.

This article attempts to explain performance through the development of innovations within small and medium enterprises (SMEs). Specifically, the authors analyse the determinants of innovation and assess the role of technological and non-technological innovations in performance.

Based on a sample of 508 Cameroonian SMEs, the PSM (propensity score matching) technique was used to reduce the selection bias inherent in this type of analysis.

The results show that technological innovation does not influence significantly the performance of SMEs, whereas non-technological innovation positively influences it. The combination of these two types of innovation leads to better performance than even accentuated development of only one type.

To improve the performance of SMEs, it is necessary to adopt a comprehensive innovation policy that combines non-technological and technological innovations. In addition, it is important to intensify informations and communication technologies (ICT) promotion policies that contribute to the adoption of innovations within enterprises.

This paper contributes to the literature by showing the role of technological and non-technological innovations in explaining the performance of SMEs. Moreover, unlike the existing work in sub-Saharan Africa, which is limited to testing the innovation–performance relationship, this study also determines the productivity gain generated by innovative firms compared to non-innovative ones.

Human resource management (HRM) is seen as crucial for innovation and firm performance in China. This paper aims to carry out an empirical research to investigate the effects of main dimensions of HRM on technological innovation as well as organizational performance.

The research uses a sample of 194 high‐tech firms surveyed in eight provinces in China.

This research finds that employee training, immaterial motivation and process control have positive effects on technological innovation, while material motivation and outcome control have a negative influence on technological innovation. It is also found that technological innovation is positively related with performance.

This study does not consider the different influence of every HRM dimension affecting different innovation types. This should be a future research topic.

This study provides useful managerial implication for managers. First, employee training is needed to develop employees' knowledge. Second, material incentive is needed but not main motivation in Chinese high‐tech firms. Third, process control should be emphasized more than outcome control in Chinese high‐tech firms.

This study demonstrated that the HRM significantly contributed to technological innovation and firm performance. This study demonstrates that Chinese high‐tech firms' HRM has an important influence on technological innovation, and lead to firm's superior performance.

This paper aims to provide evidence of the major role of non‐technological activities in the innovation process. It seeks to highlight the effects of marketing and organizational innovation strategies on technological innovation performance.

The paper tests theoretical hypotheses on a sample of 555 firms of the Fourth Community Innovation Survey (CIS 4) in 2006 in Luxembourg. Data are analyzed through a generalized Tobit model.

Evidence is found to support the impact of innovation in the marketing and organization fields on a firm's capacity to innovate, but not on the innovative performance. The paper also statistically shows that the effects of non‐technological innovation differ depending on the phase of the innovation process.

The causal link and the question of time frame between the various innovations could be further investigated, especially through longitudinal studies. Further research should also focus on the differences between large versus small firms, and service versus industrial firms.

The effects of non‐technological innovation are not the same according to whether the firm is in the first step of the innovation process (i.e. being innovative), or in a later step (i.e. innovative performance). Managers should be aware of these various effects in order to efficiently adopt non‐technological innovation strategies.

Few works have taken into account the role of other innovative strategies such as marketing and organization. As far as is known, this is the first study based on recent CIS data that looks at the interrelations between different types of innovation.

The purpose of this paper is to analyze the determinants of the performance of regional industrial technology development programs among the regional strategic industrial development program that the central government and Daegu metropolitan city jointly promoted between 2004 and 2012. Specifically, in this research, the authors are trying to identify the effects of R&D capabilities and technical development tasks on technological and managerial performance.

The dependent variables of this study are technical and economic performance. Technical performance, product and process innovation, economic performance, sales and export increases were measured using five-point Likert scales. The authors added the contribution of sales through technology development to economic performance. The independent variable is the company’s R&D capability, measured by the number of R&D staff compared to the average total number of employees from 2004 to 2012. The characteristics of the technology development tasks were measured by technical characteristics, market characteristics and collaborative research types. The technological characteristics were measured by seven factors, including technological change, technical difficulty, potential in commercialization, competition between domestic and foreign competitors, difficulty in introducing overseas technology and the technological gap. Market characteristics were largely divided into complexity, dynamics and competitiveness. The types of collaborative research were divided into whether or not there were collaborative research with the participation of large corporations. The control variables are firm size (number of employees) and firm age. Regression analysis was used to analyze the determinants of performance, and a difference analysis was conducted to determine the effect of collaborative research on performance.

The main determinants of the regional industrial technology development program performance are the characteristics of the technology development task rather than the internal R&D capability; moreover, the technical characteristics, complexity of the developed product market and participation of large corporations had significant effects on R&D capability. The R&D capacity of firms in internal R&D capacity had a significant effect only on the improvement of technology development ability. Therefore, R&D capacity, which is the main determinant of technology innovation, did not have a significant effect on the performance of short-term technology development tasks. Technological change, technological difficulty, competition between domestic and foreign competitors and the technological gap had positive effects on performance, excluding sales contributions. In addition, the complexity of the developed product market such as the diversification of demand, competitive product and sales distribution channels had positive influences on the performance of technology development programs, unlike dynamics and competitiveness. In this study, the authors cannot confirm the effect of collaborative research on the performance of the technology development programs, but they confirmed that collaborative research involving large corporations had a positive influence on performance.

The results of the analysis of the determinants of regional industrial technology development programs suggest some implications in the future evaluation of these regional industrial technology development programs. It is necessary to review the application qualification and merit, advance review of the business plans and confirmation, an examination of the research results and performance of the applicants and a review of the technology and market situation of the project. For this, the authors suggest that the written review from the relevant technical experts be submitted to the evaluation committees. Also, when establishing regional industrial development programs, they should be evaluated thoroughly, including detailed information and contents about the technical and market characteristics of the local industry.

This research is one of the first to investigate the achievements of R&D support programs among regional industrial development programs in Korea. The results of this study can substantially contribute to the development and implementation of the R&D support policies of the central and local governments. Furthermore, the findings suggest guidelines for improving the performance of R&D support programs in the future. A theoretical model for enhancing the efficiency of government R&D support programs may be established, and an empirical analysis may be conducted to provide practical and academic implications for further research.