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The paper explores the impact of mergers and acquisitions (M&As) on technological performance. We posit that the post‐acquisition technological performance is positively related to the technological combination potential of the merging firms and to their ability to realize this potential. In turn, the combination potential depends on M&As motives aimed at complementing firms’ technological resources, whereas firms’ ability to realize their potential is significantly influenced by their prior experience in M&As and technology integration.

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 authors study the relation between a firm’s combinative capability and value creation in the context of technological scope expansion. On a sample of Compustat firms that applied for US patents between 1980 and 2001, the authors find that firm value, measured using Tobin’s q, decreases with increases in technological scope (measured as the number of unique patent classes). However, when firms expand by combining different classes into a single patent, the authors find that this negative effect is significantly diminished. These findings indicate that increasing technological scope likely creates value only when the firm is able to integrate the components into a single technology; simply maintaining different technological components within the firm boundary without integration appears to subject the firm to a discount.

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.

The purpose of this paper is to investigate the impact of two dimensions of technological relatedness, namely technological similarity and complementarity, on collaborative performance, plus the mediating role of collaboration network stickiness and the moderating role of partner expertise and geographical distance in interfirm collaboration contexts.

This study takes Chinese Scientific and Technological Achievements (STA) of inter-firm collaboration in five high-tech fields in 2010–2020 as the sample and uses OLS regression to test the hypothesis.

Technological similarity and complementarity positively affect collaborative performance. Partner expertise negatively moderates the relationship between similarity, complementarity and collaborative performance. Geographical distance positively moderates the relationship between similarity and collaborative performance while negatively moderates that between complementarity and collaborative performance. Collaboration network stickiness partly mediates the relationship between similarity and collaborative performance.

This study expands literature on inter-firm collaboration, especially research on the antecedents of collaborative performance. Moreover, this study not only compensates for lack of empirical analysis in partner selection research, but also utilizes second-hand data to enhance the objectivity of analysis. Additionally, we enrich the research on the moderating role of partner expertise and geographical distance as well as the mediating role of collaboration network stickiness.

Although investigating the factors influencing technological diversification is essential to understanding research and development (R&D) strategies, studies from the perspective of corporate ownership structure are limited. This study examines the effect of heterogeneous institutional investors on technological diversification strategies.

The sample consists of 33,124 firm-year observations of USA manufacturing firms from 1981 to 2008. Data were extracted from US Patent Data, Thomson Reuters' 13f and the Compustat database. A panel regression analysis was used to test the hypothesis. Moreover, the two-stage least squares (2SLS) approach using instrumental variables (IVs) and generalized method of moments (GMM) were also applied to address the endogeneity issue.

The empirical findings indicate that short-term (long-term) institutional investors positively (negatively) affect technological diversification. That is, short-term institutional ownership hampers R&D diversification, suggesting that firms are forced to make myopic investments to meet short-term goals instead of diversifying corporate R&D projects. Meanwhile, long-term institutional ownership enhances technological diversification to achieve long-term value.

By differentiating between institutional investment horizons, the authors produce empirical evidence that institutional investors with short-term and long-term perspectives have different views on technological diversification. This study is based on data between 1981 and 2008, due primarily to patent data availability and data on institutional investors. However, this limitation does not diminish the importance of the empirical findings, as the study's focus is on discovering antecedent evidence of corporate technological diversification rather than addressing recent trends in firm decisions.

In finding that long-term institutional investors are likely to encourage technological diversification at firms, the paper carries an important practical implication that can help inform decision-making by policymakers and investors.

This research contributes to a more comprehensive understanding of institutional investors' role in technological diversification strategies. Additionally, by challenging the assumption that all institutional owners share the same perspective, this study is the first to confirm the existence of heterogeneous effects of institutional investors on technological diversification strategies.

The purpose of this paper is to explore how enhanced and new technological knowledge of firms affects their performance under varying rates of technological change.

A large‐sample empirical study of US manufacturing firms is used. The main independent variables are measured using firms' patent data. Three hypotheses were developed based on theory and were tested using multivariate regressions. To increase reliability, alternative industry and firm explanators of performance were controlled for.

It was found that performance effects of enhanced technological knowledge increase with increasing rate of technological change. Effects of each knowledge dimension are found to be non‐linear. New technological knowledge has no independent effect on performance but acts jointly with enhanced knowledge in improving performance under moderate to rapid rates of technological change.

The study is narrow in scope being a fine‐grained analysis of a firm's technological competence. It does not take into account the role of marketing and administrative competence.

This is one of the few studies to disaggregate a firm's total stock of technological knowledge into its enhanced and new components.

This study aims to explore whether digital platform capabilities (integration and reconstruction) affect technological innovation through knowledge bases in the dimensions of breadth and depth and the moderating role of organisational routines updating.

Hierarchical regression, mediation effect test macro and bootstrap were conducted to empirically analyse two waves of longitudinal survey data from 179 Chinese technology firms.

Results confirmed that knowledge bases (breadth and depth) mediated the effect of digital platform capabilities (integration and reconstruction) on technological innovation and that updating of organisational routines moderated the relationship between knowledge bases and technological innovation.

These findings offer guidance to firms that aim to achieve technological innovation and advantages, highlighting the importance of digital platform capabilities, knowledge bases and organisational routines updating.

Advancing from existing digital strategies and firm innovation literature, the authors provide a new perspective (knowledge bases) to respond to the information technology (IT) paradox and understand the role of digital platform capabilities in improving technological innovation.

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.

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.