Knowledge Acquisition for Innovation: Networks of Top Managers in the European Fashion Industry

AuthorAlexander Fliaster,Sonja Sperber
Date01 June 2020
DOIhttp://doi.org/10.1111/emre.12373
Published date01 June 2020
Knowledge Acquisition for Innovation:
Networks of Top Managers in the European
Fashion Industry
ALEXANDER FLIASTER
1
and SONJA SPERBER
2
1
Chair in Innovation Management; Faculty ofSocial Sciences, Economics, and Business Administration, Otto-Friedrich-
University Bamberg, Kärntenstraße 7, 96052, Bamberg
2
ISM International School of Management, Campus Frankfurt; Global Brand & Fashion Management, Mörfelder Landstraße55,
60598, Frankfurt/Main, Germany
Past research revealedthat social networks play a decisive rolefor the receipt of new knowledge by engineers and
middle-levelmanagers and, thus, essentiallycontribute to innovation. However,the question of by which network ties
top managersthat is, the key organizational decision-makers acquirewhich kind of innovation-related knowledge
resourceshas not yet been explored systematically. Our paper addressesthis research gap by empirically analyzing
knowledge ties of top executives in the European fashion and accessories industry. We draw on the concept of
relational embeddedness and focus on knowledge providers and knowledge ties of top managers. Based on this
theoretical framework, we conducted 22 semi-structured interviews with top executives from 11 leading European
companies within this industry. We present the main results of this explorative study and identify its important
implications from both research and managerial perspective.
Keywords: Innovation; knowledge networks; knowledge management; top management; fashion and accessories
industry; upper echelons
Introduction
The burgeoning volume of social network research in
management and organization studies has shown that
networks essentially contribute to the creation of
intellectual capital and innovation, particularly the
development and implementation of new and useful
products, services, and processes (Nahapiet and Ghoshal,
1998; Borgattiand Foster, 2003;Kilduff and Brass, 2010).
In innovation-related activities, work performance
particularly depends on informal collaboration, for
example, obtain ing knowledge that contri butes to problem
solving (Krackhardt and Hanson, 1993; Cross and
Cummings, 2004; Fliaster and Schloderer, 2010).
Informal social network mechanisms have been found to
serve as an effective medium for acquiring and encoding
timely, current, and soft information(Tushman and
Scanlan, 1981, p. 290) and, thus, foster creativity and
innovation (Moran, 2005).
While previous innovation studies (Tushman and
Scanlan, 1981; Moran, 2005; Perry-Smith, 2006;
Tortoriello and Krackhardt, 2010; Gardet and Mothe,
2011) have focused primarily on networks among R&D
scientists, engineers, business consultants and middle
managers, less attention has been dedicatedto knowledge
networks of other key innovation actors the upper
echelons(Hambrick and Mason, 1984). This gap is
particularly remarkable as upper echelons that is, the
chief executive officers, other senior managers, and top
management teams (TMT) (Bromiley and Rau,
2016) have been found to strongly affect many
organizational areas, including the innovation activities
(Bantel and Jackson, 1989; Smith and Tushman, 2005).
Empirical studies have revealed, for instance, that top
managers (TMs) contribute to a broad range of
innovations, such as product-market innovations and
organizational innovations that transform organizational
structures and processes (e.g., Elenkov et al., 2005;
Elenkov and Manev, 2005).
Correspondence: SonjaSperber, ISM International Schoolof Management;
Campus Frankfurt; Global Brand & Fashion Management; Mörfelder
Landstraße 55, 60598 Frankfurt/Main, Germany, E-mail sonja.
sperber@ism.de
European Management Review, Vol. 17, 467483, (2020)
DOI: 10.1111/emre.12373
© 2019 The Authors. European Management Review published by John Wiley & Sons Ltd on behalf of European
Academy of Management (EURAM)
This is an open accessarticle under the terms of the Creative Commons Attribution-NonCommercial-NoDerivsLicense,
which permitsuse and distribution in any medium,provided the originalwork is properlycited, the use is non-commercial
and no modifications or adaptations are made.
In this context, past studies found that the TMsimpact
on innovation is related to their individual characteristics,
such as personality, demographic attributes, individual
skills and intraorganizational tenure (e.g., Liu et al.,
2012; Balsmeierand Buchwald, 2015). On theother hand,
however, network scholars increasingly argue that
leadership requires the management of social
relationships(Balkundi and Kilduff, 2005, p. 956), and
thus more attention has to be paid to the role of leaders
social networks (Bono and Anderson, 2005), particularly
with regard to innovation (Fliaster and Golly, 2014). In
this context, Bono and Anderson (2005) for example,
found that managers who exhibit transformational (that
is, more innovation-friendly) leadership behaviors tend
to hold more central positions in the organizations
informal advice and influence networks. Other studies
have shown that in innovative medium-sized companies,
senior executives create strong ties with a small number
of blue-collar workers to acquire novel product ideas
and market insights (Fliaster and Golly, 2014). Previous
research also beganto address TMsknowledge networks
that cross the organizational boundaries. For instance,
Collins and Clark (2003) found that strong and diverse
top managerial external networks increase both sales
growth and stock price. Furthermore,the study conducted
by Peng and Luo (2000) within the context of transition
economy revealed that interpersonal ties of Chinese
managers with top executives at other firms and with
government officials help improve the firms
performance.
Despite these valuable insights, a number of important
issues still remain under-investigated. First, prior studies
have primarily addressed the structure of top managers
networks (e.g., Cao et al., 2015) and paid less attention
to the distinctive f eatures of network ties t hat are
particularly deployed by TMs to acquire innovation-
related knowledge. Second, whereas innovation studies
found that for successful innovations various kinds of
knowledge (such as market-related and technological
knowledge) are needed (Sammarra and Biggiero, 2008),
the insights about which kinds of innovation-related
knowledgeare actually acquired by TMs throughdifferent
types of networkties are still very sparse.Third, while past
network studies have mainly addressed TMswork-
related contacts, less is known about the role of private,
non-work-related contacts (e.g., family and friends) as
well as contacts to former colleagues specifically
regarding the acquisition of innovation-related
knowledge. Addressing these three research gaps is an
important and necessary step, since TMs are the key
innovation actors in organizations (e.g., Elenkov and
Manev, 2005) and because these gaps concern three very
fundamental network facets network nodes, ties, and
knowledge flow (Borgatti and Halgin, 2011; Phelps
et al., 2012).
In what follows, we explore these under-investigated
research questions theoretically and empirically and
analyze, through which types of network ties to which
types of network contacts do senior executives in the
European fashion and accessories industry acquire which
types of knowledge that they consider as relevant for
innovation. In doing so, we aim to extend the innovation
and social networks literatures and enrich the
understanding of innovation -related social activities of
TMs. In doing so, we answer recent calls in innovation
research for paying more emphasis to the social aspects
of TM involvement in innovation, that is, for exploring
the contacts between top managers and other people that
are conducive to new product development (e.g.,
Felekoglu and Moultrie, 2014). To deliver this
contribution to the literature, we draw on the concept of
relational embeddedness (Granovetter, 1985, 1992) and
focus on knowledgeproviders (alters) and knowledge ties
of TMs (e.g., Uzzi, 1997; Gabbay and Leenders, 2001).
Based on this theoretical framework, we collect and
analyze data on ego networks of top executives from
leading companies within the European fashion and
accessories industry. Finally, we present the main results
of this explorative study and identifyits implications from
both research and managerial perspective.
Knowledge networks at the individual
level
The relational embeddedness
As the aim of our study is to explore by which dyadic ties
TMs acquire knowledge that is relevant for their
innovation endeavors, we define a TMs knowledge
network as a set of nodes that is, the given TM (ego)
and his/her direct contacts (alters) that serve as
repositories of distinctive knowledge (Phelps et al.,
2012). In doing so, we draw on probably the most
fundamental un derlying idea for explaining consequences
of social networks (Borgatti et al., 2009; Borgatti and
Halgin, 2011) the direct flow of resources from node
to node. According to this conception, the work success
of a manager is dependent on resources that he or she
receives from alters (Borgatti and Foster, 2003). While
the ties can act as pipesfor various kinds of resources,
we focus on one specific flow the knowledge that is
relevant for the actors innovation efforts.
The organizational resea rch on social networ ks has
been strongly inspired by Granovetters(1985,p.487)
fundamental argument that the actions of social actors
are embedded in concrete, ongoing systems of social
relations. The embeddedness principle is currently seen
as a core idea that discerns network studies from other
research streams (Kilduff and Brass, 2010). More
468 A. Fliaster and S. Sperber
© 2019 The Authors. European Management Review published by John Wiley & Sons Ltd on behalf of European
Academy of Management (EURAM)

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