Eoin Whelan

How Internet technologies impact information flows in R&D: reconsidering the technological gatekeeper

Previous studies have firmly established the technological gatekeeper to be a key node in the innovation process – acquiring, translating, and disseminating external information throughout the R&D unit. However, the gatekeeper concept has received modest attention in recent times. We argue that the concept needs to be re-examined in light of the recent advances in Internet technologies that have dramatically altered how knowledge workers source and share their information. Drawing on social network analysis and interview evidence from a medical devices R&D group, we find that the gatekeeper role is still vital, but no longer needs to be performed by a single individual. Instead, the modern R&D group can keep abreast of the latest technological advances through a combination of Internet-enabled internal and external communication specialists. This study makes a number of important contributions. The gatekeeper theory is extended through the development of an updated conceptual framework. We also discuss the practical implications of our findings and advise R&D managers on how to organise resources to maximise optimal information flows.

Exploring knowledge exchange in electronic networks of practice

The recently developed knowledge-based view of the firm argues that knowledge is the firms most valuable resource. Within this field of study, informal social networks are rapidly gaining attention as mechanisms that facilitate knowledge flows. Electronic networks of practice (NoPs) are a special case of informal network where the sharing of practice-related knowledge occurs primarily through computer-based communication technologies. However, we know relatively little about the dynamics of knowledge exchange that occur in these electronic networks. This conceptual paper posits that there is a relationship between the structural properties of electronic NoPs and successful knowledge exchange. The theoretical positions of social network theory and the knowledge-based view of the firm are used to support this claim. A review of the extant literature reveals that a clear conceptual framework for NoPs is lacking. The objective of this research is to contribute to the development of such a framework by addressing a largely neglected area within the growing network of practice literature – namely, the relationship between electronic network communication structure and knowledge flows.

Integrating talent and knowledge management: where are the benefits?

Purpose – The purpose of this paper is to examine how the principles of talent management (TM) can be leveraged to enhance an organizations knowledge management (KM) initiatives.Design/methodology/approach – This paper critically reviews the literature pertaining to the emerging concept of TM and specifically that which focuses on “smart talent management” i.e. the fusion of TM and KM concepts. The authors offer insights as to how TM can benefit KM and then discuss these insights with a focus group of KM practitioners.Findings – The fusion of the two concepts has so far only been considered by human resource scholars who have tended to examine how learnings from the field of KM can be leveraged to advance TM. The authors confront the issue in reverse and identify five KM concerns – identifying key knowledge workers, knowledge creation, knowledge sharing, developing knowledge competencies, and knowledge retention – which they argue can be advanced through the application of TM principles. Their focus grou...

Managing talent in knowledge-intensive settings

Purpose – This paper seeks to explore the processes and channels through which valuable knowledge from outside the firm reaches those employees who can exploit that knowledge for innovative purposes. It seeks to identify the specific talents exhibited by the key individuals involved in facilitating these important knowledge flows. It also aims to detail the interventions which management can adopt to harness knowledge flow talents. Design/methodology/approach – The methodology used was a single case study of a medical devices R&D group, incorporating social network analysis and semi-structured interviews. Findings – It was found that it is now rare for a single individual to possess all the talents necessary to effectively acquire and disseminate external knowledge. Owing to the prevalence of information and communication technologies, a small number of uniquely skilled individuals specialize in acquiring valuable external knowledge, while an altogether different set of individuals specialize in disseminating that knowledge internally. Originality/value – There is a dearth of literature in the knowledge management field directed towards understanding how the unique talents of those employees who are integral components of knowledge networks can be harnessed. Building on concepts of talent management and the technological gatekeeper, the specific talents exhibited by these individuals are explored. Then some organizational level interventions are pointed up, which can facilitate knowledge-intensive organizations in fully exploiting their resources to maximize innovative capabilities.

Transactive memory systems as a collective filter for mitigating information overload in digitally enabled organizational groups

With the increasing processing power and plummeting costs of information and communication technologies, the ability of employees to ubiquitously access and disseminate information grows. However, emerging research shows that individuals are struggling to process information as fast as it arrives. The problem of information overload is a significant one for contemporary knowledge-intensive organizations because it can adversely affect productivity, decision making, and employee morale. To combat this problem, organizations often invest in technical solutions such as business intelligence software or semantic technologies. While such technical approaches can certainly aid in reducing information overload, less attention has been directed at understanding how collective behavior, and in particular transactive memory systems, might enhance the ability of organizations to cope with information overload. In this study, we ask whether (and, if so, how do) transactive memory systems act as a collective filter to enable organizational groups to mitigate the potential for information overload. We used social network analysis and interview evidence from the R&D departments of two high-technology firms in the life science industry and found that individuals spontaneously organized without any centralized control to create a collective filter. For example, we found that one set of individuals specialized in filtering external information into the group while another set specialized in filtering that information for internal use. We conclude by discussing the theoretical and practical implications of our findings.

Digitising the R&D social network: revisiting the technological gatekeeper

This paper examines how the digitisation of the social network, and the resulting interplay between its online and offline components, has impacted the role of the technological gatekeeper in research and development (R&D) settings. Previous studies have firmly established the technological gatekeeper to be a key node in the innovation process – acquiring, translating and disseminating novel information throughout the R&D social network. Drawing on social network analysis and interview evidence from a software R&D group, we find that the gatekeeper role has undergone a division of labour. Theoretically, we contribute to the body of knowledge by developing an updated technological gatekeeper conceptual framework. For practitioners, we identify the competencies exhibited by the small number of communication specialists who are largely responsible for diffusing novel information. We then advise practitioners how to maximise the contribution of these ‘stars’ to the information flow network.

A study of the total life cycle costs of an E-Commerce investment. A research in progress

Abstract Contrary to market hype, E-Commerce (EC) technology is expensive plus it requires highly skilled/highly paid workers to operate it. The cost dynamics of an EC project will have to be factored into any budget, however, there is little empirical evidence of what these costs might be. This research-in-progress aims to identify the total costs involved in becoming an ‘e-business’ for a large indigenous Irish corporation. This paper represents the first phase of the study. The objective of this phase is to develop an EC cost taxonomy.

Expanding the horizons of digital social networks

The study of social networks has attracted much interest from the IS community in recent years, driven mainly by the accessibility of trace data that remain as a by-product of interactions conducted through technology-enabled platforms. Despite its rapidly growing influence, we have some concerns about the current trajectory of social network research in the IS field. Our purpose in this commentary piece is to accentuate for the new generation of social network researchers, who are au fait with mathematical techniques for analyzing massive digital datasets, how the combination of quantitative and qualitative approaches can enrich our understanding of networks. First we highlight how the social network perspective has contributed to our understanding of IS phenomena. Next we review mixed methods research in IS social network research. An agenda for future IS social network research is then presented where we suggest how qualitative approaches can best complement trace data in addressing focal social network questions. We conclude by discussing the challenges of conducting mixed method studies of digitally enabled social networks. We review the current state of social network research within the IS field.We highlight concerns with the trajectory of IS social network research.We discuss how the combination of trace data and qualitative approaches can best address pertinent social network research questions.

The Discovery of Agile Service Networks through the Use of Social Network Analysis

There is a need to address the significant gap in our ability to measure and monitor the Key Performance Indicators (KPIs) across service networks. The unprecedented growth in service-based business processes over a short period of time has underscored the need for understanding the mechanisms and theorising the business models and business process management adopted across many organisations today. This research presents a survey of the literature and argues that the inability of current Business Process Management (BPM) techniques to visualise and monitor web-enabled business processes prevents us from transforming information on network activity and infrastructures. This inhibits managers in anticipating change and adapting to more agile business practices in service science. Thus, this research-in-progress sets out to propose the need to develop a framework to enhance a manager’s ability to monitor key performance indicators (KPIs) while improving business process restructuring practices through social network analysis (SNA).

Managing Information Overload: Examining the Role of the Human Filter

With the increasing processing power and plummeting costs of multimedia technologies, our ability to ubiquitously access and disseminate information continues to become indefinitely easier. However, emerging research shows that we are struggling to process information as fast as it arrives. The problem of information overload is a significant one for contemporary organisations as it can adversely affect productivity, decision-making, and employee morale. To combat this problem, organisations often resort to investing in technical solutions such as business intelligence software or semantic technologies. While such technical approaches can certainly aid in making sense of information overload, less attention has been directed at understanding how social behaviours within inter-personal networks – the primary conduit of information – have evolved to deal with the surge of digital information. Using social network analysis and interview evidence from two information intensive firms, this study finds a small number of information specialists who emerge to filter useful information into and around the intra-organizational network. The article concludes with a discussion of the theoretical and practical implications of our findings.