Emerging issues on business innovation ecosystems: The role of ICTs for knowledge management and innovation within and among organisations


Special issue call for papers from Baltic Journal of Management

Guest editors:

Prof. Pedro Soto-Acosta, University of Murcia, Spain (psoto@um.es)
Prof. Manlio Del Giudice, University of Rome “Link Campus”, Italy (m.delgiudice@unilink.it)
Prof. Veronica Scuotto, University of West Scotland, UK (veronica.scuotto@uws.ac.uk)

Aims and scope

Today's information and communication technologies (ICTs) operate as a large network infrastructure system or digital platform, where distinct business agents exchange information and knowledge. This “innovation ecosystem” (Adner and Kapoor, 2010; Nambisan and Sawhney, 2011) or “ecology of complex innovation” (Dougherty and Dunne, 2011) has been defined as the innovation context where employees, customers, suppliers and business partners play an active role in supporting innovation.
There are both direct and indirect network externalities between and among the different business agents and partners, which enable the creation of an innovation ecosystem. For instance, an interaction occurs when a web “surfer” joins a page or a profile created by a firm and shows interest in the firm by commenting on the platform. This way the company and the customer may interact each other, exchanging knowledge and ideas which may help improve the company's products and/or services (Soto-Acosta, Casado-Lumbreras and Cabezas-Isla, 2010). Likewise ICTs may favour knowledge management (KM) and innovation within and among organizations (Soto-Acosta, Colomo-Palacios and Popa, 2014). These technologies facilitate interaction between employees to execute the innovation process with users and business partners from remote places and organizations. Thus, ICTs may also benefit knowledge creation and sharing by bringing together partners and/or employees with diverse expertise and experience and, in turn, enabling open and closed innovation. In addition, ICTs may enhance a firm’s innovation ambidexterity as a capability of simultaneously pursing incremental and radical innovation with equal dexterity. 

Despite studies focused on measuring network effects and their impact on platform adoption and use (e.g. Gallaugher and Wang, 2002; Katona, Zubcsek and Sarvary, 2011; Nair, Chintagunta and Dubé, 2004; Clements and Ohashi, 2005; Lee and Mendelson 2008), this special issue seeks papers that investigate whether and how participating stakeholder in the network, who adopt ICTs in search of increasing profits, reducing costs or both, may at the same time create business ecosystems for innovation.
The purpose of this special issue is to bring together scholarly thought from different disciplines to extend extant paradigms and/or to develop new theoretical frameworks. Studies dealing with research based on challenging problems on the role of ICTs and KM for designing and implementing innovation ecosystems ecologies of complex innovation, as well as to identify future directions of research for the role of ICTs for KM and innovation regarding these issues are welcomed. Empirical research using qualitative, quantitative or mixed methods is encouraged. Thus, in this special issue we seek to publish a variety of papers that contribute to the creation of a solid evidence base concerning the use of ICTs for KM and innovation inside and between enterprises.

Potential contributions may include, but are not be limited to theoretical and empirical papers that consider the following:
* ICTs for KM in business innovation ecosystems;
* Innovation ecosystems ecologies for complex innovation development;
* ICTs for KM in ambidextrous organizations;
* Role of ICTs and KM for open innovation;
* Network externalities between partners for knowledge sharing and innovation;
* Antecedents and drivers for developing business innovation ecosystems;
* Social Media Technologies for KM and innovation;
* ICTs for knowledge sharing and innovation;
* Role of social media and other ICTs in supporting international research, technology transfer and innovation.

Submission details and deadline

To be considered for publication in the special issue full manuscripts should be submitted by May 1, 2017. However, it is recommended that authors send an abstract to the editors prior to submission to ensure the relevance and receive preliminary feedback in good time before the submission deadline. Anticipated publication date of the special issue is 2018/2019. 
Authors should submit their manuscripts through ScholarOne Manuscripts http://mc.manuscriptcentral.com/bjom. Please be sure to select the correct special issue from the dropdown menu when submitting your manuscript. Each paper will be reviewed by the guest editors and, if found suitable, will be sent to at least two independent referees for double-blind peer review.
Manuscripts should be prepared following the journal’s author guidelines http://www.emeraldgrouppublishing.com/products/journals/author_guidelines.htm?id=bjm
For any further issue, please contact the Corresponding Guest Editor Prof. Manlio Del Giudice at m.delgiudice@unilink.it, putting in copy all the other co-Guest Editors.

References
Adner, R., Kapoor, R., 2010. Value creation in innovation ecosystems: how the structure of technological interdependence affects firm performance in new technology generations. Strategic Management Journal, 31 (3), 306-333.
Clements, M.T., Ohashi, H. 2005. Indirect network effects and the product cycle: Video games in the US, 1994–2002. The Journal of Industrial Economics, 53(4), 515-542.
Dougherty, D., & Dunne, D.D. 2011. Organizing ecologies of complex innovation. Organization Science, 22(5), 1214-1223.
Gallaugher, J.M., Wang, Y.M. (2002). Understanding network effects in software markets: evidence from web server pricing. MIS Quarterly, 303-327.
Katona, Z., Zubcsek, P.P., Sarvary, M. (2011). Network effects and personal influences: The diffusion of an online social network. Journal of Marketing Research, 48(3), 425-443.
Lee, D., Mendelson, H. 2008. Divide and conquer: Competing with free technology under network effects. Production and Operations Management, 17(1), 12-28.
Nair, H., Chintagunta, P., Dubé, J.P. 2004. Empirical analysis of indirect network effects in the market for personal digital assistants. Quantitative Marketing and Economics, 2(1), 23-58.
Nambisan, S., Sawhney, M., 2011. Orchestration processes in network-centric innovation: evidence from the field. Academy of Management Perspectives, 25(3), 40-57.
Soto-Acosta, P., Casado-Lumbreras, C., Cabezas-Isla, F. (2010). Shaping human capital in software development teams: the case of mentoring enabled by semantics. IET Software, 4(6), 445-452.
Soto-Acosta, P; Colomo-Palacios, R., Popa, S. 2014. Web knowledge sharing and its effect on innovation: an empirical investigation in SMEs. Knowledge Management Research & Practice, 12(1), 103-113.