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This paper aims to explore how social media can be used strategically for delivering the promises of open innovation and examines the types of structure that can foster the integration of these new tools with more classic top-down innovation approaches.

A single case study of, ALPHA (pseudonym), a multinational company that combined an integrated strategy and the creation of a lean structure with the full potential of social media.

To take on the challenges of energy transition, ALPHA has implemented a low-cost approach allowing it to harness the promises of open innovation. This combined the introduction of a lean structure, two social media platforms and processes that ensured the integration of open innovation activities with existing departments.

The research is based on a single case study. Further research should be conducted to establish the generalization of the results.

This paper highlights the key success factors in making such a light approach successful, namely, controlling cost and disruption of open innovation; integration matters; leveraging complementarities with existing social media initiatives; and bottom-up adoption.

The research provides a unique approach that can be practically implemented to leverage social media to deliver the promises of open innovation and offers an original way of integrating social media lead innovation and open innovation strategies with more classic R&D activities.

This chapter examines the marketplace context for media innovations. This includes factors that have been well researched and about which much is known, for example, pricing and early adopters, as well as marketplace elements and patterns that are not so thoroughly understood but are nonetheless very important in understanding the process of adoption, for example, the role of serendipity. It reviews patterns of adoption that were prevalent in the twentienth century but which have changed in the twenty-first century, for example, how word of mouth has been transformed by social media. Declines and failures as well as successes along with the international scope of media innovations, including in developing countries, are accessed.

The advantages and disadvantages of large and small companies creating media innovations are reviewed as are the respective roles of content creation and distribution. The concluding discussion section describes the contexts for media innovations today, including concerns about their privacy, use of media in public places, filters for new media innovations to identify likely successes, and the importance of teams in developing media innovations.

Based on media choice theories and real option theory, this study aims to explore the role of communication media portfolio in achieving collaborative innovation with suppliers.

Using data of the Study of Competitiveness, Technology and Firm Linkages 2002 collected by the World Bank and the Enterprise Survey Organization of the Chinese National Bureau of Statistics, this study employed logit model to test the hypotheses. Moreover, some robustness analyses were conducted.

This study suggests that media multiplicity increases the probability for a firm to achieve collaborative innovation with suppliers on the basis of real option theory. Furthermore, distance from the suppliers and relationship formality make media multiplicity further important in collaborative innovation with suppliers.

Through investing how communication media portfolio affecting collaborative innovation with suppliers and the contingency factors, this study complements existing studies just concentrating on supplier capabilities, relationships with suppliers and characteristics of supplier network. Moreover, this study contributes in the information system field by exploring the role of media portfolio rather than individual media.

With the rise of social media, the practice of innovation management is changing rapidly as well. While the opening up of corporate innovation processes can be observed in literature as well as in practice (commonly known as “Open Innovation”), we draw the reader’s attention to the strategic potential of social media in innovation management. For this, a conceptual framework will be introduced.

In this chapter, we compare established concepts of knowledge management to potentials of social media in this field, which offer more efficient and promising ways to integrate external knowledge into innovation processes. This approach is discussed by considering the integration of customers and especially Lead-Users into corporate product development. Based on the concept of Open Innovation, we reflect the role of Lead-Users in the innovation process critically. Mounting on our reflections, we show the potentials of social media for integrating Lead-Users and develop a conceptual framework for the integration of Lead-Users using different social media applications.

In this paper, a conceptual framework for integrating Lead-Users by using different social media applications is developed and introduced.

The unique conceptual framework derived in this chapter is enriched with a discussion of the challenges resulting from the implementation of Lead-User integration along with social media in corporate innovation management. The chapter can help companies as well as researchers to implement a process for the integration of Lead-Users by using the potentials of social media applications.

The purpose of this study is to understand the strategy adopted by family firms in using social media for their business. Based on the social media usage, this paper attempts to segment family firms. To do so, a reactive – proactive – innovative (RPI) scale was developed for the study. Then, the family firms were categorised as reactive, proactive or innovative social media users. Further, based on the scale developed, clusters were created. Family firms were placed into different clusters based on the strategy that they had for using social media platforms for their business.

A pilot sample of 50 family firms and a main study of 256 Indian family firm entrepreneurs were surveyed through self-administered questionnaires. Factor analysis reduced the 12 scale-based questions to three distinct factors. Confirmatory factor analysis was then conducted on the main sample to confirm the constructs identified using exploratory factor analysis. Cluster analysis was used to build clusters of entrepreneurs who use social media as part of their digital marketing strategy.

Findings reveal that the Indian family firm market is largely divided into four main segments. These segments represent distinct behaviours with respect to the use of social media. The four segments of family firm entrepreneurs were named as high rollers, ignorant inhabitants, trend-setters, combative crowd based on their social media usage behaviour. These clusters give deep insights into the strategic usage of social media by family firms.

The limitation of this study is that entrepreneurs from all Indian states were not considered in the sample because of cost implications. This research study has only created the segmentation of the family firms as reactive, proactive or innovative social media users and also has created the clusters as high rollers, ignorant inhabitants, trend-setters and combative crowd. Also, the reasons for their behaviour and root cause for the strategic usage have not been studied.

This study reflects on current practices of family firms with respect to usage of social media and groups them into large identifiable clusters. Equipped with the findings from this study, the RPI scale developed for the study and the clusters created, entrepreneurs can now move towards better use of social media for innovation.

Although past studies have advocated the use of social media to spur innovation in firms, this study segments the current market based on their practices. It allows readers to gauge the proportion of family firms using social media for innovation and paves the way for a change in behaviour amongst these firms.

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 study the effects of social media usage on four knowledge creation processes, namely socialisation, externalisation, combination and internalisation, and innovation in small and medium enterprises (SMEs).

A sample of 96 SMEs has been used to gather data through a standardised questionnaire and test the hypotheses through OLS regression models.

The results indicate that social media influence positively three out of four knowledge creation processes and that they help to foster the innovation process.

From a theoretical perspective, the study contributes to literature considering a specific digital tool and its effect on knowledge creation and innovation. In fact, a few studies have considered the impact of social media usage on other variables, such as ROI and productivity, but never on knowledge creation and innovation through a quantitative study. From a managerial perspective, the research suggests managers to implement and involve social media within business and innovation processes.

The purpose of this paper is to evaluate the effect of CRM performance and technological innovation on performance of media entrepreneurs considering firm size.

This is an analytical study used to empirically test the hypotheses proposed for SEM techniques using PLS and R packages. It used two steps in this way: the assessment of the outer model and the assessment of the inner model. Moreover, a bootstrapping method was employed to test indirect effects. Data were collected by distributing 127 questionnaires between the managers and deputies of active firms across Rasht, Iran.

The effect of CRM performance on SMEs performance development is partially mediated by media entrepreneurship. Moreover, the effect of technological innovation on SMEs performance development is mediated by media entrepreneurship. Furthermore, permutation test results indicated that there is no significant difference between small- and medium-sized firms.

This study used cross-sectional sampling method that can seriously limit result generalization. Therefore, conducting longitudinal studies is strongly recommended.

The results of IPMA matrix indicated the serious importance of technological innovation, as a variable with the highest importance for SMEs performance development. Nevertheless, this variable has received the lowest importance in the studied population. Therefore, SMEs’ managers should pay sufficient attention to the concepts of “product innovations” and “process innovations.”

This study is of high importance in that it has adopted new and effective indices for statistical analysis. IPMA matrix, permutation test, CTA and FIMIX are examples. In addition, plspm and Matrixpls packages in R were used for the first time in this study.

The purpose of the present study is to build a research model to study how the use of different enterprise social media platforms affects employees' relationship capital, and the moderating role of innovation culture is also examined.

Structural equation modeling was performed to test the research model and hypotheses. Surveys were conducted in an electronic commerce company in China that uses different social media platforms, generating 301 valid responses for analysis.

First, private social media used for work-related purposes can contribute to employees' relationship capital, and public social media QQ used for work-related purposes can contribute to employees' communication quality. WeChat used for social-related purposes has a positive effect on employees' information exchange. Second, innovation culture acts as a positive moderator between work-related media use and employees' information exchange, while innovation culture acts as a negative moderator between social-related WeChat use and employees' information exchange. Third, innovation culture acts as a positive moderator between work-related QQ use and employees' trust, while innovation culture acts as a negative moderator between social-related QQ use and employees' trust.

First, this paper contributes to the information system (IS) social media literature by studying the effect of the use of different enterprise social media platforms used for different purposes on employees' relationship capital. Second, the authors contribute to relationship capital theory by clarifying that use of public and private social media platforms for social- and work-related purposes is an important driver of the formation of employees' relational capital. Third, the present study also contributes to enterprise social media literature by confirming that innovation culture acts as a different moderator between use of different enterprise social media platforms and employees' relationship capital.

The purpose of this paper is to investigate to what extent the amount, information source and the content of the microblog information disclosure of listed companies could impact on innovation from the perspective of financing constraints.

The propensity score matching (PSM) and two-stage least square (2SLS) are used in estimations to deal with the endogeneity problem.

Evidence shows that the amount of we-media information disclosure significantly drives the innovation of enterprises. The mechanism is that we-media information disclosure drives the innovation by easing the financing constraints and bringing funds to the R&D activities. Further research shows that only the original information can drive the innovation. In particular, the R&D information promotes the R&D input and innovation output more significantly.

The conclusion of this paper provides a reference for the listed companies to drive innovation with the help of we-media information disclosure, a new solution for the small and medium-sized listed companies in China which have difficulty in carrying out innovation activities due to financing constrains and also provides useful practical enlightenment for the government and the capital market regulatory authorities to issue relevant policies to regulate we-media information disclosure.

This paper introduces a new information disclosure channel--we-media into the research on influencing factors of innovation and discusses the influence of the amount, different sources and disclosure contents from we-media on enterprise innovation, which enriches the existing research on enterprise innovation influencing factors, providing a new perspective for driving enterprises to innovate.