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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 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.

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.

Boundary-spanning exploration through establishing alliances is an effective strategy to explore technologies beyond local search in innovating firms. The purpose of this paper is to argue that it is useful to make a distinction in boundary-spanning exploration between what a firm learns from its alliance partners (explorative learning from partners (ELP)) and what it learns from other organisations (explorative learning from non-partners (ELN)).

The authors contend that alliances play a role in both types of exploration. More specifically, the authors discern three types of alliances (inside ties, clique-spanning ties and outside ties) based on their role vis-à-vis existing alliance cliques. Clique members are highly embedded, and breaking out of the cliques through clique-spanning and outside alliances is crucial to improving explorative learning. Thereafter, the authors claim that clique-spanning ties and outside ties have a different effect on ELN and ELP.

The empirical analysis of the “application specific integrated circuits” industry indicates that inside ties have negligible effects on both types of explorative learning. Clique-spanning ties have a positive effect on ELP, but not on ELN. The reverse is true for outside ties. The results show that research on explorative learning should devote greater attention to the various roles alliance partners and types of alliances play in advancing technological exploration.

The literature only emphasises the learning from partners, focussing mainly on accessing their technology. In sum, alliance partners play different roles in exploration, and their network position influences the role they are able to play.

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 study aims to examine the relationship between market orientation and product innovation and the mediating role of technological capability in this relationship. It also aims to examine the effect of market orientation on product innovation within the framework of technological intensity classification of the fields of business activity.

The research data were obtained from 186 senior and mid-level managers of 627 manufacturing firms that are widely considered to be innovative, and that are ranked among Turkey's largest 1,000 manufacturing firms (ISO 1000). The data were analyzed using partial least squares structural equation modeling.

Customer orientation and interfunctional coordination, two distinct dimensions of market orientation, had positive effects on product innovation. Technological capability played a mediating role in the effect of customer orientation and interfunctional coordination on product innovation. In addition, interfunctional coordination positively affected product innovation in firms with low technological intensity, whereas customer orientation positively affected product innovation in firms with medium-high technological intensity.

For the success of product innovations, firms should establish mechanisms to obtain information about customer needs and expectations and to disseminate and effectively use this information among organizational functions. They also need to improve their technological capabilities to effectively transform market knowledge into product innovation.

The relationship between market orientation and product innovation has been examined in previous studies; however, there is an insufficient number of studies on the mediating role of technological capability in this relationship. This study aimed to eliminate the gap in the literature regarding the mediating role of technological capability. In addition, innovation activities of firms vary depending on the technological intensity, but only a limited number of evaluations have been conducted on this subject. This study contributes valuable knowledge to the relevant literature by examining the impact of market orientation dimensions on product innovation according to technological intensity.