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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.

Over time, technological intensity has been used as a proxy for innovation capability of firms in an industrial sector. However, not only firms belonging to the stratum of high technological intensity are able to innovate. Therefore, this study aims to explore a potential association between technological intensity and innovation capability in firms from different industrial sectors, using the Organization for Economic Cooperation and Development (OECD)’s classification and the components of innovation capability proposed by Zawislak et al. (2012, 2013).

The authors conducted an exploratory research with four case studies focusing on the innovation capability of Brazilian firms.

The results show that the four firms, each belonging to one stratum of technological intensity, have innovation capability, and the differences regarding this feature can be explained by the balance and development of all firms’ capabilities (technological, operational, managerial and transactional).

In the literature, studies that relate technological intensity and innovation capability are scarce. Therefore, the originality of this research is to relate these two concepts. The most important is that firms can be innovative regardless of their stratum of technological intensity, which shows the importance of other capabilities to ensure the innovation’s success.

The purpose of this study is to investigate the factors that impede innovation in Colombian manufacturing firms, as measured by the level of technological intensity.

The authors used data from 1,850 firms to determine the barriers associated with information and internal capabilities, risks and environment.

The main results of this study confirm that potentially innovative firms of low technological intensity are more likely to ascribe high importance to obstacles associated with information and internal capabilities, when compared with innovative firms. The abandonment of innovative projects, family-operated enterprises and investment in R&D are all related to an increased perception of obstacles to innovation, while investments in information and communication technologies have an opposite effect. Variables as partnerships and export behaviour, have different effects depending on the level of technological intensity.

This study investigates the obstacles to innovation of a firm as determined by its characteristics and as measured against its level of technological intensity. Previous studies have investigated barriers to innovation in technologically advanced sectors (Lachman and López, 2019) and technology-based SMEs (De Moraes Silva et al. 2020) or how the technological intensity of the firm determines access to university knowledge for overcoming barriers (Kanama and Nishikawa, 2017). The only study to analyse barriers to innovation by measuring a firm’s technological intensity was conducted into Mexican manufacturing and services sector companies by Santiago et al. (2017).

This study investigates the impact of big data analytics capabilities on green supply chain performance. Moreover, it assesses the mediating effect of the green innovation and moderating effect of technological intensity.

This study is based on primary data that were collected from the food and beverages manufacturing sector operating in Jordan. A total of 420 samples were used for the final data analysis. Data analysis was performed via structural equation modeling (SEM) using SmartPLS 3.3.9.

The results of the data analysis supported a positive relationship between big data analytics capabilities and the green supply chain performance as well as a mediating effect of green innovation. It was confirmed that technological intensity moderated the relationship of green innovation on green supply chain performance.

The study faced many limitations such as the method of collecting primary data, which relied on a questionnaire only and the use of cross-sectional data, as well as studying one context and in one country.

The findings can guide managers and policymakers in the Jordanian food and beverage manufacturing sector on how to manage organizational capabilities related to big data analytics to enhance green supply chain performance and improve green innovation in these firms.

This study developed a theoretical and empirical model to investigate the relationship between big data analytics capabilities, green innovation, technological intensity and green supply chain performance. This study offers new theoretical and managerial contributions that add value to the supply chain management and innovation literature by testing the moderated mediation model of these constructs in the food and beverages manufacturing sector in Jordan.

The purpose of this paper is to identify the effect of radical innovation and incremental innovation on the competitive advantage of Jordanian industrial companies and identify the moderating role of technological intensity.

For this study’s purposes, 303 questionnaires from employees of 30 manufacturing firms were analysed. Convergent validity and discriminant validity tests were performed through structural equation modelling in the Smart-PLS programme. Data reliability was confirmed. A bootstrapping technique was used to analyse the data. Multi-group analysis was performed to investigate the moderating role of technological intensity.

Empirical results showed that both radical innovation and incremental innovation explain 60.2% of the variance in competitive advantage and that both constructs have a statistically significant effect on competitive advantage. The results also revealed that the relationship between radical innovation and competitive advantage is modified through the high-tech industries. Meanwhile, the relationship between incremental innovation and competitive advantage is modified through the low-tech industries.

This cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalization of its results and the results are limited to one country, Jordan.

This study promotes the idea of focusing on radical and incremental innovation to enhance competitive advantage in the Jordanian manufacturing sector and knowing the effect of technological intensity in this relationship.

This study has important implications for leaders in the Jordanian manufacturing sector in general, as the study highlights the importance of radical innovation and incremental innovation to enhance the competitive advantage, especially in light of the technological intensity in this sector, and thus, increase the innovative capabilities of this firms, which leads to an increase in the level of competitive advantage.

Using the EU‐KLEMS database for 12 countries and 16 industries, the purpose of this paper is to analyze the differences in technological capital intensity (R&D capital stock as a percentage of GVA) between industries and the evolution of inequalities between the EU‐11 and the USA, as well as between EU countries.

The authors use shift‐share analysis and a Theil inequality index to break down these inequalities and to quantify the importance of either a country or a specialization effect.

Results from the shift‐share analysis show that there was a technological gap in favor of the USA until the mid‐1990s linked to the greater accumulation of technological capital in most of the productive sectors considered, this being the main reason for the differences in technological innovation between the USA and the EU‐11. However, since 1995 a change in productive specialization has occurred, with a significant drop in the weight of lower technology‐intensive industries in the EU‐11 economy, as well as a significant drop in the weight of some medium technology‐intensive industries in the USA, accounting for the reduction in the technological gap between the EU and the USA. Results from the Theil index show that the differences in the productive structure of European countries explain most of their differences in technological capital intensity.

The study discusses the issue from the standpoint of the distribution of technological innovation across industries. The variable analyzed and constructed is R&D capital stock and not R&D expenditures. It applies a methodology (shift‐share analysis and Theil index) not commonly used to analyze technological innovation inequalities.

This paper aims to evaluate whether the integration of smart specialization strategies (S3) into clusters significantly impacts their efficiency for countries that still do not implement this policy. This study tests three effects: whether the kind of policies envisaged through an S3 strategy impacts cluster’s efficiency; whether this impact changes with the technological intensity of the clusters; to determine which S3 is more suitable for sub-clusters at different levels of technological intensity.

The Mexican economy is taken as case of study because it has a proper classification of its industries intro Porter’s cluster’s definition but still does not adopt the S3 policy. Through data envelopment analysis (DEA), this study evaluates the cluster’s efficiency increment when variables representing the S3 elements are included.

The results show that strategies following the S3 had a significant impact in all clusters, but when clusters were classified by technological intensity, the impact on efficiency is higher in clusters in the medium low-tech group.

According to the results in the DEA, it can be concluded that these S3 strategies have the potential to increase the clusters’ productivity significantly. These results make convenient the adoption of the S3 policy by countries that already count with a properly cluster definition.

These findings contribute to the lack of studies that analyze the join implementation of S3 on clusters.

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.

The purpose of the study is to examine the relationship of different dimensions of employment relation (ER) with perceived organizational performance. The study also attempts to analyze the role of technological intensity in determining the employment approaches adopted by the firm.

Data were gathered through the survey method and in-depth personal interviews were conducted in Indian manufacturing firms based in the National Capital Region (NCR).

The findings confirm that all dimensions of employment relation have profound and significant relationship with perceived organizational performance. It also revealed that technology intensity of the industry determines the way people are managed in the organization.

The study has contributed to the existing body of knowledge by understanding the impact of unique framework of ER (industrial relations and HRM) on organizational performance. The study represents the one of the fewest attempts to measure technology intensity as moderating variable in ER & Performance.

High-Performance Work Systems (HPWS) are viewed as strategic levers to a firm’s core competencies’ sustainability and continuous competitive advantage. The purpose of this paper is to explore what factors facilitate HPWS utilization, with a particular focus on the extent to which social capital (SC) derived from buyer-supplier relationships functions as a communication channel to spread effective HPWS implementation.

The authors propose a model of HPWS in which external SC not only favors the use of HPWS but also moderates the incidence of other common facilitators such as technology and flexibility. The study uses data from Spanish manufacturing industry.

Firms yielding external SC use HPWS more intensely, and the effect of technology constituents on HPWS utilization is contingent on SC accumulation. The findings are consistent with the existing HR literature on the subject but broaden its perspective by analyzing a specific pattern of SC and its pivotal role in the HPWS utilization process.

The cross-sectional nature of the database leaves open the possibility of causality relationship exploration between the variables of interest, which means that any causal interpretation should be cautious and properly motivated. The study is conducted in the Spanish manufacturing industry context, hence aims to generalize its results by explaining the logic behind the coexistence of HPWS and SC on a same conceptual level. This should be carefully treated and could be further strengthened by other country-level research. The approach does not consider the internal synergic mechanisms and the integration of HR practices.

The paper reveals the importance of inter-organizational SC in the Spanish manufacturing industry by showing how its embodiment in buyer-supplier relationships may allow firms to better understand the context in which HPWS are more likely to be useful.

The impact of social relationships on effective human resource management practices is highlighted.

The authors explore the factors that facilitate HPWS utilization, with a particular focus on the extent to which SC derived from buyer-supplier relationships functions as a communication channel to spread effective HPWS implementation.