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Although scholars have paid considerable attention to the relationship between technological diversification and firm performance, research on this relationship has produced mixed findings. To reconcile these inconsistent findings, this study, thus, aims to revisit the performance effect of technological diversification by considering two organizational characteristics as crucial moderators, namely, firm size and financial slack.

To test the research hypotheses, the research sample covers manufacturing firms in the 2008 Standard & Poor (S&P) 500 index. Data regarding the characteristics and patent information of the sample firms were obtained from Compustat and the US Patent and Trademark Office. The hypotheses were tested by using hierarchical regression models.

In a sample of 168 S&P 500 manufacturing firms, this study finds that technological diversification has a positive effect on firm performance. The relationship between technological diversification and firm performance is also found to be positively moderated by firm size, financial slack and their configuration.

The findings of this study further suggest that firms should be aware that the effect of technological diversification on performance can be enhanced or hindered in specific contexts.

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.

Different studies have been conducted on the relationship between technological capability and firm performance. These studies obtain different values for the relationship, known as heterogeneous results. The purpose of this paper is to analyze the relationship between technological capability and firm performance and its statistical between-study heterogeneity.

In order to analyze all the results from this relationship that were found in the literature, we adopted the literature review with a meta-analytic method. We consulted the Scopus and Web of Science databases, which returned, after the application of inclusion criteria, 23 primary studies with data from 5,882 manufacturing firms.

We observed that technological capability and performance are positively related; however, the results regarding this relationship are heterogeneous. We discovered four possible sources of statistical between-study heterogeneity: (i) the statistical between-study heterogeneity of the variables to measure technological capability and performance; (ii) orientation of the thematic approach – some illustrate the relationship between technological capability and performance using mathematical and theoretical models, while others examine the relationship between technological capability and performance and propose implications pertaining to that relationship; (iii) the source of data for primary studies and (iv) the context in which this relationship is observed.

It is necessary to standardize a set of variables through which technological capability and performance are evaluated so that results and implications can be usefully compared between countries and industrial sectors.

The contribution to knowledge is identifying the statistical between-study heterogeneity on the relationship between technological capabilities and firm performance, as well as its potential sources.

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.

The purpose of this paper is to investigate the combined effect of Mergers and Acquisitions (M & A) partners’ technological relatedness and the acquirer’s effective utilization of the target’s knowledge on explorative and exploitative invention performance post-M & A.

Based on the knowledge perspective of an M & A, this study measures how much of the target’s knowledge acquired in an M & A has been effectively transformed into new knowledge. A negative binomial regression on a cross-sectional data set of 152 bio-pharmaceutical firms (59 European firms and 93 North American firms) completing at least one M & A in the period between 2001 and 2005 is conducted. The effect of knowledge utilization is assessed by comparing performance six years before the M & A and six years after.

The effective assimilation and utilization of acquired knowledge positively affects both acquirers’ explorative and exploitative performance post-M & As. The combined effect with technological relatedness, measured as similarity and complementarity, further enhances the acquirer’s technological performance. However, while the utilization of similar knowledge significantly affects only exploitative invention performance, the utilization of complementary knowledge influences both, although explorative more than exploitative performance.

The acquirer’s ability to effectively use the target’s knowledge is crucial in order to support the transformation of the inventive potential, such as is embodied in the interaction between an internal and an external base of knowledge, into new explorative and exploitative performance.

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.

Although technological diversification is often understood as an explorative activity, the authors argue that it can also be explained as exploitation. The purpose of this paper is to examine how exploitative technological diversification (ETD) affects firm performance and what factors may moderate this relationship.

The sample consists of 1,569 Chinese listed firms with 7,555 observations from 2003 to 2014. Patent data were collected from the State Intellectual Property Office, while financial information was collected from the China Stock Market and Accounting Research database. The system generalised method of moments model was used for testing the hypotheses.

The empirical findings indicate that the relationship between ETD and firm performance is inversely U-shaped. Moreover, this relationship is negatively moderated by environmental munificence, which refers to the availability of resources in the environment where the firm operates, and positively moderated by environmental dynamism, which refers to the extent of volatility and unpredictable change in firms’ external environments.

Overlooking ETD limits applications of diversification logic and the precision of their predictions. This paper tries to fill this gap by empirically testing the relationship between ETD and financial performance.

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.

The purpose of this paper is to consider the management of hazards arising from the make-buy choice in the face of radical technological change. This sourcing choice can lead to distinctive exchange and hierarchical hazards. This study’s main interest is in investigating the research question “How can firms reduce those distinctive exchange and hierarchical hazards arising from the make-buy sourcing strategy when dealing with radical technological change?”

The author develops hypotheses that the in-house retention of outsourced component knowledge will likely reduce exchange hazards arising from the buy strategy choice. And prior exploratory technological experience will likely reduce hierarchical hazards arising from the make strategy choice. The author explores the US mountain bicycle industry from 1980 to 1992 to test the developed hypotheses. For endogeneity arising from the make-buy sourcing decision, the author uses Heckman’s two-stage switching regression model.

The major findings are that the in-house retention of outsourced component knowledge and prior exploratory technological experience is distinctive moderating factors improving performance of a buy strategy and a make strategy, respectively.

Since the extant literature tends to focus on which of the two sourcing strategies provides the greatest performance advantages in the face of radical technological change, there is a strong implication to suggest that if a firm performs poorly with one sourcing decision, the firm should switch to an alternative one. Different from the expositions of the literature, this study elevates the understanding regarding how firms can improve the performance of their current sourcing orientation rather than whether they should switch from one sourcing strategy to another.