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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.

The purpose of this study is to investigate the moderating role of knowledge management (KM) strategies in developing the effect of intellectual capital (IC) on innovation for small- and medium-sized enterprises (SMEs). Specifically, the current study explores how different interactions between IC and KM strategies lead to more powerful innovation in SMEs.

This study analyzes survey responses from 170 owners/managers of SMEs in Iran. The study uses partial least square structural equation modeling methods within Smart PLS software.

This study reveals that first IC has an excellent level of engagement with both incremental and radical types of innovation, but its engagement level with radical innovation is higher than that for incremental innovation. Second, the human capital component of IC has a direct positive impact on radical innovation although it has no significant impact on incremental innovation. Third, the personalization strategy of KM positively moderates the impact of human capital on both incremental and radical innovation.

This paper is an empirical attempt in SMEs to combine IC and KM strategies to strengthen innovation. It presents research community for SMEs of a developing country that has been investigated in a limited way compared to large firms of developed nations and provides valuable insights into further research.

Despite the keen interest in radical and incremental innovation, few studies have tested the varying impact of firm-level factors in service sectors. This paper analyses how collaboration with existing and prospective users and investments in knowledge management (KM) practices can be adapted to maximise the outputs of radical and incremental process innovation in a knowledge-intensive business service industry.

Original survey data from 166 information technology service firms and interviews with 13 executives provide the empirical evidence. Partial least squares-structural equation modelling is used to analyse the data.

Collaboration with different types of users, and investments in KM practices affect radical versus incremental process innovation differently. Collaboration with existing users influences incremental process innovation directly, but not radical innovation; and prospective user collaboration matters for radical, but not incremental innovation. Furthermore, for radical innovation, investments in KM practices mediate the impact of prospective user collaboration on innovation.

While collaboration with existing users for incremental process innovations does not appear to generate significant managerial challenges, to pursue radical innovations firms must engage in intensive collaboration with prospective users. Higher involvement with prospective users requires higher investment in KM practices to promote efficient intra- and inter-firm knowledge flows.

This study is based on a large-scale survey, together with management interviews. Radical and incremental innovations in the service industry require engagements with different kinds of users, and the use of KM tools.

The purpose of this paper is to develop a theoretical and empirical exploration of link between organization intellectual capital and knowledge flows with its incremental and radical innovation performance.

This paper adopts relevant literature of social capital and organizational learning to examine the impact of intellectual capital and knowledge flows on incremental and radical innovation based on surveying 95 firms. To test the research hypotheses, regression analysis is used.

Results of the study show that human capital and top-down knowledge flows significantly and positively influence both incremental and radical innovations. Social capital and bottom-up knowledge flows do not have any significant impact on incremental or/and radical innovation. Organizational capital has a positive impact on incremental innovation as expected.

The results offer several practical implications for business managers to harvest its knowledge bases resident in the firm’s different forms appropriately to make innovation successful. Particularly, knowledge resident in human capital and organizational capital is useful for making incremental innovation. Especially, new knowledge, new skills and new perspectives resident in human capital are crucial important for making radical innovation. Both incremental and radical innovations are positively influenced by dynamic managerial capabilities.

This study contributes to literature by providing new evidence linking organization intellectual capital and knowledge flows with its innovation performance. Especially, the missing link between top-down knowledge flows and radical innovation is empirically examined. Value of this study is that social capital and bottom-up knowledge flows are not universally beneficial for enhancing innovation and their impacts on innovation performance are context dependent and more sophisticated than it is recognized in the literature.

The purpose of this paper is to examine the influence of four organizational culture traits, consistency, cooperativeness, effectiveness and innovativeness, on radical and incremental type of service innovations, which leads to new service market performance (NSMP).

The data are collected through a cross-sectional survey of 171 bank managers in Bangladesh and analyzed through structural equation modelling using SmartPLS software.

The results reveal no impact of “consistency” as a cultural trait on “radical” and “incremental” service innovations. “Cooperativeness” and “innovativeness” impact incremental and radical service innovations positively. “Effectiveness” impacts radical service innovations positively. Radical and incremental service innovations impact NSMP significantly.

These findings add to the knowledge in terms of how organizational culture can make service innovations happen in the growing banking industry in a developing market.

The model links organizational culture traits (internal/external and flexibility/control focussed) with radical and incremental service innovation.

The purpose of this study is to introduce innovative ideas into the treatment of the radical and incremental innovations and to fill the research gap by using: (1) methods that can perform complicated tasks and solve complex problems leading in creation of radical and incremental innovation and (2) a broad sample of firms across countries. The authors’ ambition is to contribute to the scientific knowledge by producing evidence about the novel usage of artificial neural network techniques for measuring European firms' innovation activities appearing in black boxes of innovation processes.

In this study, the authors incorporate an international context into Chesbrough's open innovation (OI) theory and, on the one hand, support the hypothesis that European radical innovators benefit more from foreign cooperation than incremental innovators. On the other hand, the results of the analyses show that European incremental innovators rely on domestic cooperation supported by cooperation with foreign public research institutes. Moreover, the use of decision trees (DT) allows the authors to reveal specific patterns of successful innovators emerging within the hidden layers of neural networks.

The authors prove that radical European innovators using either internal or external R&D strategies, while the combinations of these strategies do not bring successful innovation outputs. In contrast, European incremental innovators benefit from various internal R&D processes in which engagement in design activities plays a crucial role.

The authors introduce innovative ideas into the treatment of hidden innovation processes and measuring the innovation performance (affected by domestic or international cooperation) of European firms. The approach places emphasis on the novelty of innovation and the issue of international cooperation in the era of OI by designing the framework using a combination of artificial neural networks and DT.

Prior research on business analytics has advanced substantially our understanding of how social media analytics affect business performance. However, the specific value of social media analytics to product innovation has not been fully explored and appreciated. To address this important issue, the present study draws on the resource-based view and the knowledge-based view to examine (1) whether the use of social media analytics strengthens radical product innovation to a greater extent than it does incremental product innovation and (2) how knowledge-exploration competence and knowledge-exploitation competence mediate the influence of social media analytics on radical and incremental product innovation.

This study tested the proposed model using data collected from 205 manufacturing firms. Structural equation modeling was applied to test the research hypotheses using LISREL 8.80 software program.

The statistical findings provide compelling evidence that the use of social media analytics is more likely to lead to radical product innovation than to incremental product innovation. In addition, knowledge-exploration competence only partially mediates the relationship between social media analytics and radical product innovation. Knowledge-exploitation competence not only partially mediates such a relationship, but also fully mediates the link between social media analytics and incremental product innovation.

This study contributes to the social media analytics and innovation literature by offering novel theoretical and empirical insights into how firms can leverage the value of social media analytics to create superior product innovation.

Despite the important role that exploitation plays in innovation and new product development (NPD), research on the relative impact of internal organisational stocks of existing knowledge on subsequent exploitation is largely absent. In particular, there is lack of clarity within the extant literature regarding the associations between organisational exploitation and, respectively, the distal-proximal technological experience and radical-incremental innovative experience generated by multiproduct firms. Thus, this study seeks to further enhance researchers’ theoretical understanding on the relationship between organisational exploitation and internal knowledge stocks categorised along two dimensions of organisational experience accumulated by multiproduct firms that have not previously been considered jointly.

This paper pursues a focussed literature review approach and applies the underlying theory of exploitation to develop a theory explaining the possible relationships between organisational exploitation and internal knowledge stocks.

Based on the theory of exploitation, this paper proposes a new direction in studying the various internal knowledge stocks and their respective impact on subsequent organisational exploitation.

The proposed research direction suggests an emerging framework of possible relationships between exploitative new radical products development in firms, and respectively, proximal and distal technological experience, and radical and incremental innovative experience, accumulated in multiproduct firms. This novel framework can guide further research on this topic.

To fill a research gap regarding the possible relationships between subsequent exploitative endeavours and two dimensions of organisational experience that have been traditionally associated with the exploration-exploitation construct, this paper proposes and develops a novel typology of knowledge stocks categorised along two dimensions of organisational experience accumulated by multiproduct firms that have not previously been considered jointly in the literature.

Manufacturers’ specific investments (SIs) in a specific partner that are of lower value when used in an alternative relationship, such as training employees and tailoring systems to achieve better cooperation, can help improve market performance. However, previous studies lack a simultaneous focus on a manufacturer’s SIs in its upstream and downstream partners. The purpose of this study is to address the effects of manufacturers’ SIs in their suppliers and customers on the two types of innovation and market performance individually and jointly and the mediating effects of radical and incremental innovation on relationships between SIs and market performance.

This study tests proposed relationships based on data collected from 206 manufacturers in China using regression methods.

Results show that SIs in customers directly and indirectly affect market performance through radical and incremental innovation. However, SIs in suppliers cannot directly improve market performance but indirectly enhance market performance through radical innovation. Furthermore, results also show the interaction of SIs in suppliers and customers is positively related to market performance and radical innovation.

This study contributes to the literature on SIs by identifying supply chain SIs (SCSIs) through simultaneously focusing on SIs in suppliers and customers and exploring the direct and indirect effects of SCSIs on market performance. This study also contributes to the innovation literature by empirically verifying incremental and radical innovation as effective intermediaries that help convert SIs into the actual performance improvement.

The purpose of this paper is to investigate the relationship between relational capital and supply chain collaboration (SCC) and how this relationship relates to innovation. The authors propose a theoretical framework to illustrate the effect of relational capital on three dimensions of collaboration and radical and incremental innovation.

The paper has a quantitative approach. The authors conducted the survey to collect the data from 225 suppliers in the Hunan province of China. The proposed model is tested with exploratory factor analysis, confirmatory factor analysis and structural equation modelling.

The findings show that relational capital can facilitate information sharing and benefit/risk sharing when firms work together to achieve innovation. Furthermore, the results indicate that relational capital leads to radical innovation through facilitating information sharing among firms and helps in generating incremental innovation by encouraging firms to share risks and benefits with their partners.

The findings of this study give some suggestions for managers of the firms in terms of building their collaborative strategies. Managers should exploit relational capital to build successful and long-term collaboration. Also, through relational capital, managers can share information to create radical innovation or pool risks and share benefits with their customers to achieve incremental innovation.

This study provides a nuanced understanding of the relationship between relational capital, different dimensions of SCC and innovation in the context of a developing economy. Moreover, the findings provide a clearer understanding of the collaborative mechanism of relational capital and collaboration to achieve radical and incremental innovation.