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The exchange of knowledge in social networks is fundamental to innovation. Open, interactive, innovation requires collaboration through social networks. This social networking is increasingly carried out across the Internet through social media applications. The purpose of this study is to explore the use of social media in open innovation, and explain how this practice is carried out in small and medium-sized enterprises (SMEs). With less resources than large firms, SMEs both have a greater need for open innovation and a less resources to invest in the process.

In this paper, the authors study the case of open innovation in start-up Aurea Productiva and induce a framework for open innovation in SMEs powered by social media.

The authors explore how the main advantages of the Web 2.0 translate into opportunities, challenges and strategies for open innovation that can be directly applied by managers.

The authors contribute to research on open innovation by social media and to research on the innovation process of SMEs. Future quantitative research could confirm and extend the authors’ findings.

Companies that want to fully exploit the benefits of social media can create a strategy that emphasizes coevolution of innovation and resources, sharing their vision and objectives and providing a framework for innovation.

The authors introduce an original analysis of opportunities, challenges and strategies for open innovation in SMEs.

The purpose of this paper is to study the relationship between open innovation and the use of intellectual property rights (IPRs) in small- and medium-sized enterprises (SMEs). The authors consider patents, industrial designs (i.e. design patents in the USA), trademarks, and copyrights.

The relationships between open innovation, IPRs, and profitability are tested with random-effects panel regressions on data from the Spanish Community Innovation Survey for 2,873 firms spanning the years 2008-2013.

A key result is that SMEs do not benefit from open innovation or from patenting in the same way as larger firms. Furthermore, the results show that SMEs profit in different ways from IPR, depending on their size and the corresponding IPR.

The different impact of IPRs on the efficiency of open innovation in firms of varying sizes highlights the importance of further investigation into IP strategies and into open innovation in SMEs.

Industrial designs are currently the most efficient IPR for SMEs to protect their intellectual property in open innovation collaborations. Depending on the company size, the use of different IPRs is recommended. Moreover, firms should seek to increase the efficiency of open innovation and the use of IPRs.

The high impact of SMEs on employment highlights the importance of fomenting efficient innovation processes in such firms.

This paper opens the black box of IPR in relation to open innovation in SMEs, and draws distinctive conclusions with regards to patents, industrial designs, trademarks, and copyrights.

Successful innovation requires a significant financial commitment. Therefore, the purpose of this paper is to investigate the relation between internal and external financing and the degree of innovation in European firms.

An empirical investigation is carried out using a longitudinal data set including 146 large, quoted, European firms over ten years, resulting in 1,460 firm years.

The authors find that only firms in the energy sector will be more innovative when they are profitable. For the sectors of basic materials, manufacture and construction, services, financial and property services, and technology and telecommunications, profitability is negatively related to innovation. External financing in the form of debt reduces the focus on innovation in profitable firms.

The authors analyze the findings through the lens of evolutionary economics. The model is not valid for firms in the consumer-goods sector, which indicates a need for adapting the model to each sector. We conclude that the impact of profitability on innovation varies across sectors, with debt financing as a moderating factor.

To the best of authors’ knowledge, this is the first study that analyzes the internal and external financing and the degree of innovation in European firms on a longitudinal basis.

The purpose of this paper is to provide clarity to the concept of innovation and its various definitions.

The article reviews the innovation literature and proposes that innovation has been conceptualized either from a process or from an outcome perspective. Also, the authors show that there is a substantive difference between innovation seen in the traditional innovation literature and innovation as conceived in the knowledge management literature.

The paper proposes a general framework to categorize the existing views of innovation and show that innovation as an outcome has not been clearly defined from a knowledge perspective. To address this gap, the authors develop a new definition of an innovation outcome based on knowledge elements.

The research lays the groundwork for more comprehensive methods of measuring innovation and innovativeness, which is particularly useful for the study of service innovation.

The framework and definition expand the ability of managers to measure and understand the key factors of innovation.

The research contributes to the literature by developing a comprehensive knowledge‐based, outcome‐oriented definition of innovation.

The purpose of this paper is to examine the independent effects of principal background, training and experience as well as teacher academic qualifications on school proficiency growth through time.

The authors analyzed the entire population of all elementary and middle schools in the state of Illinois, n=3,154 schools, from 2000 to 2001 through 2005-2006 using growth mixture modeling. The authors examined growth at the school level in the percentage of students meeting or exceeding standards on the Illinois Standard Achievement Test, analyzing separate models for Chicago and non-Chicago schools.

The results suggest that there are two statistically significantly different latent school proficiency trajectory subgroups through the six-year time period, one high and one low, for both Chicago and non-Chicago schools. In addition, the models suggest that teacher academic qualifications, principal training, principal experience as a principal and an assistant principal, and experience of the principal as a teacher previously in their schools are significantly related to school proficiency growth over time, dependent upon school context.

Recent studies on the independent effects of principal experience, training and teacher academic qualifications have shown inconsistent results on school achievement growth. The authors demonstrate that principal training and background may have an effect on school-level proficiency score growth.

This study is one of the first to examine statistically different proficiency growth trajectories using an entire state-wide data set over a long-term, six-year timeframe.

This study aims to identify profiles of inclusion in the workplace to provide evidence-based guidance to build an inclusive organization.

Latent profile analysis (LPA), a person-centred classification analytical tool, was applied to determine the subtypes of inclusion with Mplus 7.4, using two-wave data collected from 368 employees in 8 Chinese companies.

Three subgroups were identified: identity inclusion group (the highest level of inclusion, 34.0%), value inclusion group (the moderate level of inclusion, 47.5%) and low inclusion group (the lowest level of inclusion, 18.5%). The findings indicate that groups with male, aged and highly educated members, as well as members from developed areas generally tend to feel more included and greater inclusion relates to more favourable outcomes and fewer detrimental consequences.

As this study was conducted only in China, the results may not be generalizable to non-Chinese contexts.

The results may help organizational leaders develop a deeper understanding of the significance and the crux of inclusion. To address the duality of workforce diversity, managers can take initiatives to create an inclusive organization. To achieve inclusion, managers should pay attention to ways of improving the perceptions of inclusion among all employees.

This is among the first studies to identify the variants in inclusion in China using LPA. It reveals the subtypes and characteristics of inclusion and can serve as a starting point to explore how to realize organizational inclusion in theory and practice.

The purpose of this paper is to identify the patterns of customer exposure to touchpoints by segmenting consumers based on the frequency of their exposure, and to understand the relationship of patterns of exposure with customer loyalty intentions (relationship commitment, self-disclosure and positive word-of-mouth) and demographic characteristics.

An online survey of almost 4,000 customers was employed in a supermarket retail setting. Customers were segmented based on their frequency of recalled exposure to multiple touchpoints, by means of a latent class cluster analysis, while considering the role of demographic characteristics. Afterwards, loyalty intentions variables were regressed on the resulting customer segments.

Based on the touchpoint exposure, six customer segments emerge. The main differences across segments relate to the intensity of frequency of exposure and the types of touchpoints customers have been exposed to. Sex, age, shopping role and geographic area of residence are related to segment membership. The identified patterns of exposure explain relationship commitment, self-disclosure and positive word-of-mouth: clusters displaying higher exposure to touchpoints display higher loyalty intentions than clusters displaying lower exposure.

The study offers actionable implications for brands and retailers on how to manage touchpoints for implementing omnichannel strategies.

As far as the authors know, this study is the first to identify exposure to multiple touchpoints and understand the role of demographics as far as touchpoint exposure is concerned. It also provides interesting findings on the relationship of different combinations of touchpoints with customer loyalty.

Aritificial intelligence (AI)-focused enterprises purpose to provide value-creating and differentiated products and services using innovative technologies. For this reason, it is aimed to examine the effects of value creation, intellectual property and organizational creativity variables to make evaluations to increase the success of such enterprises.

Random sampling method was used in the research. The population of the research consists of AI-oriented enterprises in technoparks. On the specified days, short-term visits and surveys were conducted face-to-face. Name and similar personal information was not taken in the research and participation was made on a voluntary basis. A sample size of 500 units is a sufficient size at the 0.05 significance level. SmartPLS (4.0.8.4) licensed software was used in the research.

As a result of the collected data, it has been supported by hypotheses that value creation, intellectual property and organizational creativity have positive effects so that artificial intelligence-oriented enterprises can be successful in performance criteria.

Since the research was conducted by collecting data from artificial intelligence-oriented enterprises in technoparks in Istanbul, it would not be correct to evaluate the analysis results by making generalizations. For this reason, it is recommended that similar studies planned to be conducted in the future should contribute to the literature by developing the research model, taking into account the limited situation in the sample.

According to the results of the analysis of the effects of value creation, intellectual property and organizational creativity in artificial intelligence-oriented enterprises, in order to increase the success of such enterprises, they should offer more value to their customers, protect their technologies and increase their innovation capacity.

Value creation, intellectual property, and organizational creativity in AI-focused enterprises are important topics in a rapidly growing industry such as AI-focused enterprises. Therefore, a research investigating these variables together offers a different perspective than previous studies.

Interdependence on the global economy and rapid technological changes raised the degree of uncertainty and complexity, leading to innovation challenges. Innovation depends on knowledge, and the solution might rest on how sound firms manage it, particularly in emerging markets such as India. The purpose of this paper is to examine how firms implement knowledge management (KM) in highly innovation-oriented firms (biotechnology and pharmaceuticals) and the factors affecting its implementation by examining knowledge interactions between individuals.

This study consists of a systematic literature review, a case study with embedded units and the use of grounded theory to analyse the data. The factors emerging from the results were examined from an individual and organisational lens. Next, complexity theory (CT) was used to understand the impact of these factors in KM by facilitating its incorporation as a system.

The findings of this paper suggest that constant technology adoption increases human-to-technology interaction, higher circulation of existing knowledge and more controlled environments, discouraging individuals from learning or sharing knowledge. From a system perspective, results of this paper suggest that firms self-organise around technology, indicating that innovation decreases as knowledge creation and sharing tend to reduce with lesser social interactions. This study shows the usefulness of using CT in analysing KM for innovation. The performance of the system is analysed based on its constituents and interactions.

This study contributes to advancing CT in KM in the context of innovation in highly knowledge-intensive firms, as few studies were found in the literature.