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With the advent of Internet technologies, shorter product life cycles and increasing competition, organisations have started looking for innovation sources outside the organisational boundaries. The external community of crowds can be used as a valuable source of co-creation in a company's innovation process to generate value. Despite its growing popularity, organisations often face difficulty capturing value from crowdsourcing due to the lack of proper mechanisms behind crowdsourcing-based value co-creation between a crowd and an organisation and their impact on organisational learning and innovation performance. The present study seeks to understand the crowdsourcing-based co-creation mechanism that influences knowledge transfer effectiveness and the organisation's absorptive capacity, resulting in improved innovation performance.

The model was empirically tested using online survey data received from 300 managers of IT firms. Partial least squares structural equation modelling was used to test the model.

The empirical results reveal that crowdsourcing-based value co-creation causes structural, cognitive and relational linkages between a crowd and a firm, among which crowdsourcing-based cognitive linkage contributes more to organisational value capture. Further, an organisation's effective knowledge transfer and absorptive capacity play an important role in influencing the crowdsourcing-based-co-creation organisational learning-innovation performance framework.

This is the first and foremost study that has developed an integrated model using social capital dimensions to understand the entire mechanism behind crowdsourcing-based value co-creation between a crowd and an organisation and their impact on organisational learning and innovation performance. The study provides organisations with theoretical and practical implications of using crowdsourcing as a value co-creation tool and its effects on enhancing organisational learning and value capture.

Firms' knowledge-processing capabilities have a central role in achieving innovation performance and competitive advantage. Absorptive capacity capabilities and innovation are viewed as essential for enterprise success. Absorptive capacity is deemed as a highly important organizational capability to recognize value and assimilate both external and internal knowledge in order to enhance firm innovation. The aim of this study is to determine if innovation performance can be improved through absorptive capacity (knowledge acquisition, dissemination and utilization), when it is supported by internal (firm experience) and external knowledge sources (R&D cooperation and contracted R&D).

A quantitative methodology based on employing a structured questionnaire was used for data collection. The proposed research model and its associated hypotheses are tested by using Partial Least Squares (PLS) structural equation modelling (SEM) on a data set of 248 manufacturing companies located in the Northern Region of Malaysia.

Results showed that firms' experience is significantly related to absorptive capacity, while for R&D cooperation and contracted R&D findings were mixed. In addition, absorptive capacity was found as a strong predictor of innovation performance.

One of the defining features of competition in many industries has been the extremely rapid pace of technological change, marked by a continuous stream of innovations. Manufacturing firms, therefore, face the challenge of nurturing existing knowledge and developing novel knowledge in order to create new business opportunities. This study makes valuable contributions with regard to understanding the behavioural of manufacturing firms towards process and product innovation.

In innovation networks, firm innovation performance is affected by external tie strength and internal knowledge absorptive capacity. This study aims to empirically examine the path relationship between tie strength, absorptive capacity and firm innovation performance in Chinese manufacturing industries, thus enhance our understanding on the mechanism between innovation network and innovation performance.

The authors have conducted a survey among Chinese manufacturers in four industries (textile and garment, household appliance, IT and electronics and motor vehicle assemblers) that are located in North, East, Central and South China, respectively, with a valid response from 278 manufacturers. Structural equation model is used to analyze the results.

This study demonstrates that in Chinese Manufacturing industry, tie strength is positively related to innovation performance. The authors also find that absorptive capacity has a positive impact on innovation performance and it mediates the relationship between tie strength and innovation performance. Then, the authors analyze the effect of ownership, industry and sub-region, and the results show that in private firms and traditional manufacturers, and the firms located in North and Eastern China, tie strength has no direct effect on innovation outcomes, but it can influence innovation indirectly through absorptive capacity.

This study further supports that in Chinese guanxi culture, strong ties with other innovation partners can improve the firm’s absorptive capacity and thus improve innovation performance. The results also suggest that a firm’s absorptive capacity has a significant mediating effect on the relationship between tie strength and innovation performance.

The purpose of this paper is to develop and empirically test a theoretical framework examining how local network ties and global network ties affect firms’ innovation performance via their absorptive capacities.

The conceptual framework is empirically tested in a field study with multi-source data collected from a sample of 297 manufacturing firms located in four. Manufacturing clusters in the south-eastern Yangtze River Delta of China. Hypotheses were tested with the use of path analysis with maximum likelihood robust estimates through the structural equation modelling approach.

The asymmetry between local network ties (LNT) and global network ties (GNT) in terms of influences on firms’ innovation performance is confirmed by empirical tests. LNT not only significantly and positively contribute to firms’ innovation performance directly but also enhance it indirectly via absorptive capability, whereas GNT exhibit only marginal influence on innovation performance. GNT are shown to boost innovation performance (IP) only indirectly via firms’ absorptive capacities. Knowledge heterogeneity and the difference between domestic and multinational firms’ institutional environment are considered to be the main causes of the asymmetric effects.

While the previous literature either focused on the mediating role of firms’ knowledge absorptive capacities or investigated the effects of social networks separately, this study incorporates both mechanisms into a single analytical framework to better account for the interactions between network effects and absorptive capacities. The results challenge some previous studies positing that GNT are stronger determinants than LNT in shaping a local firm’s innovation capacity in emerging economies, and the findings emphasize the importance of absorptive capacity in helping local enterprises to leverage external linkages to enhance firm’s innovation performance.

The purpose of this paper is to empirically investigate how big data collected from social media contribute to knowledge management practices, innovation processes and business performance.

The study used 418 questionnaires collected from firms that actively invest in marketing, advertising and communication in the Italian market. The hypotheses testing and analysis were conducted using structural equation modeling.

The results reveal that customers’ data gathered from social media produce different effects on knowledge management practices and firms’ innovation capacity. Furthermore, increased innovation capacity turned out to affect customer relationship performance directly, while it contributes to gain better financial performance only when it is used to gain relational outcomes.

The outcomes of the study help firms to develop a clear understanding about which big data retrieved from social media can be useful to improve their knowledge management practices and enhance their innovation capacity. Moreover, by investigating the mediating role of big data knowledge management in the context of social media knowledge acquisition and innovation capacity, this study also extends the mediation variables used to understand the relationship between knowledge capabilities and practices and innovation constructs.

The purpose of this paper is to investigate the innovation performance in the Hungarian food chain using the concept of open innovation.

Empirical analysis is based on the data from a 2014 survey of more than 300 small- and medium-sized agricultural producers, food processors and food retailers. The authors analyse innovation performance taking into account not only the direct impacts of external knowledge inflows and absorptive capacity, but also the indirect effect of external knowledge inflows mediated by the existence of potentially complementary internal resources (absorptive capacity). The authors determine the impact of open innovation and a company’s absorptive capacity on innovation performance employing two stage approaches. First, the authors apply a semi-non parametric probit model. Second, the authors run cluster analysis to categorize companies based on their open innovation, absorptive capacity, firm and managerial characteristics.

Results imply the openness along the food chain may decrease the introduction time of innovation in all areas of innovation, as well the innovation propensity. The openness towards competitors may decrease the introduction time of innovation with regard to technological innovation, but it may increase with regard to product innovation, as well the innovation propensity. The absorptive capacity decreases the introduction time of technological product, organizational and market innovation. There is a positive relationship between the use of external knowledge (when it is defined as openness with competitors) and own innovation capacity with regard to innovation propensity, but not when it is defined as openness along the food chain. The enterprises of the sample are dividing into two groups: innovative (dominated by processors) and not innovative ones (dominated by producers and retailers).

Some limitations of the paper are worth mentioning. The study is limited in its scope with regard to the research setting and the unit of analysis (Hungarian food chain). With regard to the former, our sample consists of 302 SMEs along the food chain, almost equally distributed as producers, processors and retailers. At the end of 2014 in Hungary there were 7,766 producers, 2,681 processors and 6,420 retailers in this category, which means 1.3 – 3.7 per cent coverage (Agrárgazdasági Kutatóintézet, 2014). Regarding the latter, the paper defines food chain in a narrow sense (three levels); therefore, the results represent the perspectives of a limited number of food chain partners (producers, processors, retailers). Were the definition to be widened, input from additional members would be necessary (such as suppliers of suppliers, customers of customers, third parties or competitors). Nevertheless, although the scope may be narrow, it is appropriate for our objective. Future research is recommended to overcome the paper’s limitations (i.e. extend its scope to other countries, sectors and levels of chain).

The analysis provides valuable inputs for policy makers and SMEs along the food chain that wish to build and improve (open) innovation system. Policy makers would need more targeted innovation development programmes in order to solve the tight innovation bottlenecks. These programmes should target first of all at expanding the absorptive capacities of the food chain’s enterprises. The authors also need further research in order to investigate how much the restricted use of open innovation systems in the Hungarian food enterprises is linked to the cost and benefits of creation such systems.

The authors analyse innovation performance taking into account not only the direct impacts of external knowledge inflows and absorptive capacity, but also the indirect effect of external knowledge inflows mediated by the existence of potentially complementary internal resources (absorptive capacity).

Open innovation and information systems have been key topics in the theoretical domain, but little empirical research thoroughly examines how information technology (IT) capability affects open innovation performance. Thus, the purpose of this paper is to explore the relationship between IT capability and open innovation performance and to expose the inner mechanism at the firm level.

This paper collected firm-level data in China; 232 usable questionnaires from different firms were collected. Then, the study used a structural equation model by AMOS for hypothesis testing.

The results indicate that both internal IT capability and external IT capability have positive impacts on open innovation performance; potential absorptive capacity and realized absorptive capacity mediate the relationship between external IT capability and open innovation performance. Additionally, realized absorptive capacity plays a mediating role in the relationship between internal IT capability and open innovation performance.

These findings indicate that practitioners should pay attention to the important relationship between absorptive capacity and IT capability and open innovation performance in Chinese businesses.

Existing research has emphasized the influence of IT on open innovation, but empirical studies have not thoroughly focused on the inner mechanisms of the effect of IT capability on open innovation performance. Drawing on firm capability theory, this paper classifies IT capability as internal and external IT capability and absorptive capacity as potential and realized absorptive capacity. Then, this paper confirms the mediating role of absorptive capacity between IT capability and open innovation performance.

This paper aims to seek to explain the influence of power asymmetry and the moderating role of an organization’s absorptive and desorptive capacity on enhancing supply chain competence from its orientation to open innovation with its supply network.

To perform this study, the authors use data collected from 262 European firms. They apply regression analysis to test the moderating role of an organization’s absorptive and desorptive capacity on enhancing its supply chain competence from its orientation to open innovation.

The results confirm both the influence of power asymmetry and absorptive capacity on obtaining benefits that derive from an organization’s orientation to open innovation. The results do not, however, support the moderating effect of an organization’s desorptive capacity. Subsequent analyses performed in the study show that organizations that achieve complementarity among their own absorptive capacity and the capacities of its supply network manage to obtain greater benefits from its orientation to open innovation.

This paper responds to the need to study innovation in the context of a supply network and respond to calls in the literature on open innovation and supply chain management for the need to study the moderating role of absorptive and desorptive capacity.

The purpose of this paper is to examine the relationships among organizational learning, absorptive capacity, imitation and innovation in the Chinese context.

Based on the organizational learning theory and innovation theory, the paper presents a framework linking organizational learning, absorptive capacity, imitation and innovation. Using a key informant technique, a survey questionnaire was designed and sent to the middle or top management managers of 115 firms located in Peking, People’s Republic (PR) of China. Structural equation modeling (SEM) with the maximum likelihood (ML) estimation procedures was applied to test the hypotheses developed in the research.

The empirical results show that both organizational learning and absorptive capacity have positive impacts on innovation; imitation has a positive impact on absorptive capacity; absorptive capacity mediates the relationship between imitation and innovation.

This study has implications for firms aiming to enhance innovation by organizational learning, absorptive capacity and imitation.

Despite the number of studies concerning organizational learning, absorptive capacity, imitation and innovation, research that encompasses the interrelationships between the four concepts simultaneously remains scarce. The paper provides a framework linking organizational learning, imitation, absorptive capacity and innovation, and it advances the argument that absorptive capacity is an important factor in predicting the Chinese firms’ transition from imitation to innovation.

Corporate organizations could enhance their economic and commercial values through knowledge acquisitions and exploitations. The purpose of this study is to analyze the economic and commercial performance effect of poultry management absorptive capacity in Nigeria.

Structural equation modeling was used in the analysis of a random sample of 300 poultry managers and owners surveyed within the South-Eastern Nigeria. The scales that quantified the latent variables of the factors were tested for reliability and consistency using confirmatory factor analysis.

The study found evidence that the difference between economically and commercially viable poultry businesses and failing ones depends on the level of absorptive capacity. Absorptive capacity advanced innovations that resulted in higher economic and commercial performance of poultry farm. Poultry firms' profitability, sales growth and market shares were positively increased by absorptive capacity dimensions of acquisition, assimilation, transformation and exploitation.

The study was carried out within a region in Nigeria and thus could be limited by generalization to the developed country.

This study is the first to link four dimensions of absorptive capacity to the economic and commercial performance of poultry businesses in Nigeria. As such, it originally breaks new frontier of poultry farming from dynamic capabilities and absorptive capacity perspectives.