Search results

The purpose of this paper is to identify relevant gaps in human capital (HC) related to innovation performance, which might be the basis for creation of more effective innovation strategies.

The proposed approach contains the following four steps: HC survey, assessment of HC value drivers, identification of gaps related to the HC value drivers and recommendations for an innovation strategy based on identified gaps. The HC survey includes 554 managers from Serbian companies within seven different industries.

The biggest gaps in observed Serbian industries are related to crucial HC value drivers for innovation process, such as innovativeness, education and knowledge sharing and social skills.

Although there are limitations in measuring HC and innovation drivers, this approach seems to be valid in recommending more effective innovation strategies/policies on micro and macro level.

This research reveals potentials and barriers within HC in different Serbian industries, crucial to innovation, pointing to the initiatives which might improve innovation performance across Serbian industries. The identification of HC gaps across industries is valuable for gathering sounder intelligence of the sources of innovation and fine-tuning of national innovation strategy according to specific features of industries.

The proposed approach integrates a new perspective into current innovation measurement paradigm. It includes gaps within HC in the assessment of innovation performance, which might foster intangible innovation potential.

The purpose of this paper is to develop an instrument that measures a set of dynamic drivers for managing innovation capability; and to validate this instrument in the agri-food sector.

Based on the innovation drivers identified after an extensive literature review, a measurement instrument was developed and then empirically validated through collecting preliminary data from 434 Greek agri-food companies. Exploratory factor analysis was applied, while their validity was confirmed through confirmatory factor analysis.

The analysis of the data confirms a valid measurement instrument of innovation drivers which consists of five drivers, namely, collaboration, environmental dynamism, knowledge orientation, quality orientation, and process management. The level of the five innovation drivers by the sample companies is deemed high, though not, however, excellent.

A research challenge is to understand how the five innovation drivers are associated with agri-food business performance taking into consideration the role of environmental uncertainty. Moreover, it is worth validating this measurement instrument using multiple indicators for innovation drivers.

The main contribution of this paper is that it develops a valid measurement instrument that can be used by agri-food companies as a self-assessment tool and a benchmarking tool. In doing so, suitable strategies can be selected in order for an agri-food to improve its innovation capability.

The proposed model provides plausible guidelines that advance innovation management research in the agri-food companies.

Literature on eco-innovation brings insights that help to understand which factors trigger innovation focused on sustainability in companies. However, when analyzing the studies that comprise such drivers, it appears that most of them were focused only on describing them in isolation. Therefore, this study aims to understand which are the combinations of drivers that favor the adoption of eco-innovation in slaughterhouses located in the Brazilian state of Rio Grande do Sul.

This study has used the crisp-set qualitative comparative analysis (csQCA) as the data analysis technique, in addition to the previous application of Most Similar Different Outcome/Most Different Same Outcome (MSDO/MDSO).

This study identified eight internal and external drivers that explain the differences in performance of eco-innovative and non-innovative slaughterhouses. These drivers generate 13 combinations of factors capable of favoring the adoption of five types of eco-innovation.

A limitation identified was the difficulty to obtain information held by companies on environmental issues. In addition, in each company the authors only approached one respondent.

The use of combinations is identified by companies and governmental and non-governmental organizations to promote eco-innovation in slaughterhouses.

This study may be considered original for its contribution to the improvement of eco-innovation literature by describing how the drivers identified combine to favor the adoption of certain types of eco-innovation. In addition, the authors also made an original use of csQCA, linked with MSDO/MDSO, in the field of eco-innovation.

The purpose of this paper is to develop a conceptual model and examine the relevance of a set of five dynamic drivers to building and sustaining the innovation capability of agri-food firms.

The empirical data were acquired through a recent study of 436 Greek agri-food firms. Regression analysis was employed to examine the correlation between innovation drivers and each of the four innovation capability dimensions, namely, product innovation, process innovation, organizational innovation and marketing innovation.

The findings verify that quality orientation and process management are the two most important innovation drivers. However, the impact of learning orientation, collaborations and environmental dynamism on a firm’s agri-food innovation capability is yet to be investigated.

This study has not investigated how firms’ characteristics form the drivers and barriers to innovation at the company. Moreover, a second limitation is related to the kind of innovation that drivers boost. This research does not separate between radical and incremental innovation.

In order to maintain their sustainable development and enhance their whole innovation capability, agri-food firms should closely relate their innovation capability dimensions to the formulation of a strategy and harmonization of innovation and innovation drivers’ activities.

The main contribution of this paper is that it develops an appropriate research framework (a proposed structural model) for examining the links among the five innovation drivers with each of the four innovation capability dimensions.

The importance of innovation has been increasingly highlighted in construction as a large and complex industry sector that is more challenging than ever before. To bridge the knowledge gap about how firm size affects innovation in construction, the purpose of this paper is to explore firm-level innovation through an empirical investigation and compare innovation in construction firms of different sizes in terms of drivers and strategies.

This research adopts a combination of a literature review, a group of qualitative interviews and a quantitative questionnaire survey. In this research, the questionnaire survey is the main instrument to collect empirical data. Main contractors, subcontractors and specialist contractors as well as suppliers of labor, material and equipment are used in this research to represent construction firms of different sizes. On the other hand, client organizations, design firms and management consultants are not included in this research.

This research provides clear evidence for the embrace of innovation in construction. Many forces can drive construction firms to innovate and many strategies can be applied to construction innovation. Innovation drivers can be either internal or external. On the other hand, innovation strategies fall into four categories: technology, resource, marketing and management. For innovation drivers and strategies, both commonalities and differences can be found among construction firms of different sizes.

The finding of commonalities describes the general trend of innovation development in construction. It also encourages all construction firms to innovate regardless of firm size. On the other hand, the finding of differences enables construction firms of different sizes to realize what forces better drive their innovation and what strategies are more appropriate for their innovation. A thorough understanding of innovation drivers and strategies offers an important framework for construction organizations and practitioners to pursue best practice.

In this research, extracting the innovation drivers of successful crowdfunding from the literature review, screening them for the entrepreneurial small- and medium-sized enterprises (SMEs), analysing the cause-and-effect relationship amongst them and presenting a basic causal conceptual model and eventually determining the importance/weight of each relevant driver were the primary purposes of this research. As a result, the authors have also designed a score function to measure the future innovative crowdfunding score for SMEs.

A multi-layer multi-criteria decision-making (MCDM) approach has been designed and employed to achieve research objectives. After extracting the initial list of drivers, Fuzzy Delphi was applied to screen the relevant innovation drivers of successful crowdfunding for entrepreneurial SMEs. Decision-making trial and evaluation laboratory (DEMATEL) was used to analyse the cause-and-effect relationship amongst the drivers and illustrate a basic conceptual model. Analytical network process (ANP) and Stepwise Weight Assessment Ratio Analysis (SWARA) were applied to determine the importance of the drivers and by aggregating them to measure the innovative crowdfunding score.

Initially, 28 innovation drivers of successful crowdfunding were extracted from the literature. Then by employing the first-round Delphi fuzzy method amongst 15 international entrepreneurs in SMEs, the relevant drivers, including eleven items, were screened and selected. Then by implementing the DEMATEL method, the relationship amongst these screened drivers was identified, and seven drivers were determined as causes and the rest as effects. Subsequently, a conceptual model based on the causal analysis of the drivers from the DEMATEL method was designed. Eventually, by aggregating the weight of drivers emanated from SWARA, DEMATEL and DANP, the score function for measuring the situation of an SME was designed.

According to the crowdfunding scores in this research from entrepreneurs of SMEs, influential factors in developing countries were recognised as two times more prominent in developing countries. This might be rooted in the circumstances of developing countries where many startups and SMEs are emerging in vast areas and different fields due to investment in innovation management. In these countries, the authorities and officials support these companies to empower their capabilities and innovative ideas to (1) deal with the severe competitive market and (2) benefit from them as potential economic engines. Therefore, crowdfunding platforms and public initiatives can be considered one of the most effective government supports, which may involve financial risks.

To the best knowledge of the authors, investigating the innovation drivers of successful crowdfunding via quantitative analysis by multi-layer decision-making approaches has not been considered previously. Moreover, the authors have designed a crowdfunding score function to determine the situation of an entrepreneurial SME in this area. A combination of different MCDM methods, including Fuzzy Delphi, SWARA, DEMATEL, ANP and DANP, to investigate the innovation drivers of successful crowdfunding in SMEs has not been considered previously.

While previous research has identified that environmental innovation is shaped by a variety of drivers, researchers have devoted limited attention to the role of nature-based resources in the country. Building on environmental innovation theory and the natural resource-based view of the firm, this study introduces ecological resource deficits as a novel driver of environmental innovation. The authors explore how ecological resource deficits interact with institutional and regulatory drivers as well as firm-level technology drivers to explain the extent of environmental innovation across different countries.

The authors apply fuzzy-set qualitative comparative analysis to a multi-source dataset to identify different pathways for environmental innovation across 28 countries.

Findings show that higher environmental innovation is a function of ecological resource deficits complemented by the presence of at least two other conditions. Moreover, the results show that environmental policy stringency and societal expectations are substitute conditions of environmental innovation.

This study reveals the interdependences between different conditions for environmental innovation across countries contributing to a more nuanced understanding of the geography of environmental innovation.

The purpose of this paper is twofold: first, it aims to investigate how internal and external drivers affect innovation in the Italian food industry. Second, the authors are interested to understand to what extent these drivers are industry specific, and therefore, they are contrasted against those relevant for the pharmaceutical industry in Italy according to the increasing growth of cross-industry innovation between these two sectors. The paper aims, thus, to shed light on the differences between food and pharmaceutical industries in terms of innovation drivers to understand potential precursors of emerging industry convergence.

Both probit and bivariate probit models are estimated, using data from the Italian Community Innovation Survey, in order to provide empirical evidence on drivers affecting innovation in the food and pharmaceutical industries.

The innovation activity of Italian food and pharmaceutical companies strongly relies on the presence of in-house R & D activities. Whereas firms in the pharmaceutical industry combine both internal and external R & D activities and knowledge sources to produce innovation, the case of the food industry is strongly dependent on the acquisition of external technology. In particular, the increased need for absorptive capacity of both sectors emphasises the key role of university research for collaboration, knowledge transfer and product innovation.

The paper gives insights not only on drivers for innovation, but especially on the industry-specific differences which should be taken into account to have a contingent view. Limitations concern the impossibility to perform panel data analysis, due to the design of the database. Furthermore, both food and pharmaceutical sub-samples are not completely representative, since large companies tend to be overrepresented.

This paper provides managerial insights concerning the internal and external drivers affecting innovation. Moreover, it raises awareness as regards the possible differences between the food and pharmaceutical industries, which is crucial for establishing successful pathways for cross-industry innovation.

This study represents one of the few attempts to compare the innovation drivers of two manufacturing sectors (food and pharmaceutical), increasingly involved in cross-industry collaborations, and to highlight the industry-specific differences in those drivers which can act as forerunners of this phenomenon.

Innovation is a process that enables organizations to sustain and prosper in a competitive business environment. This study aims to understand the key drivers of innovation within organizations from the lens of employees.

This study uses a grounded theory approach based on semi-structured in-depth interviews of 20 professionals working in information technology (IT) firms. Judgmental sampling was adopted to select the respondents. Open coding, inductive analysis was conducted on the interview transcripts to generate relevant themes.

Emerging themes indicate that innovation within organizations can be triggered as a response to client requirements or the employees’ inherent urge to innovate. Certain factors such as user engagement, formal organizational processes and practices, informal collaborative practices, the role played by experts and leaders and upskilling were seen to enable innovative outcomes within organizations.

Findings from this study will allow leaders to activate the identified drivers by designing suitable organizational processes and strategies to nurture a successful innovation culture within their teams.

This grounded theory-based study looks at drivers of innovation within IT organizations from the perspective of employees.

This study investigates the drivers of social innovation in disability services with specific reference to the context of nonprofit organizations of social farming. In addition, it highlights the role of stakeholder networks in enhancing the social innovation process and the characteristics of stakeholders and networks driving and supporting social innovation.

Following a qualitative methodology, research was conducted through a case study survey with interviews to 13 nonprofit organizations of social farming for people with disability located in the northeast of Italy.

Insights gained from the interviews revealed that individual, organizational and contextual factors drive social innovation in disability nonprofits. In addition, networks play a key role in enhancing the three drivers of social innovation through the social innovation journey, from opportunity recognition to implementation of the innovation, to its consolidation phases. Characteristics of the networks and the stakeholders involved are also outlined.

Practical implications for social entrepreneurs include the need to establish cross-sectoral partnerships with diverse stakeholders, including private companies.

Implications for policy makers stress the need for ongoing support for nonprofit disability organizations. Social implications are not limited to the inclusion of socially weaker groups; rather, the entire community benefits from the social innovation process.

Social farming represents a valuable solution to meet the needs of disadvantaged people. While much research has investigated the topic of social innovation in social entrepreneurship, only a few studies have addressed social innovation in the context of disability nonprofits involved in social farming.