Balancing the spatial localisation ‘Tilt’: Knowledge spillovers in processes of knowledge-intensive services

Schmidt, Suntje

doi:10.1016/j.geoforum.2015.05.009

Cited by 34 publications

(22 citation statements)

References 99 publications

(151 reference statements)

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“…Indeed, this conclusion is supported by previous studies investigating problems associated with credence goods in service markets (Schmidt, 2015;Feser and Proeger, 2015;Howden and Pressey, 2008).…”

Section: Discussionsupporting

confidence: 77%

“…This extends the methodological choice in prior studies on knowledge spillovers that have frequently been conducted using qualitative research techniques (Schiller and Diez, 2010;Schmidt, 2015;Yang and Steensma, 2014). Due to the lack of prior empirical and theoretical contributions, we apply our exploratory research design without testing an explicit hypothesis (Edmondson and McManus, 2007).…”

Section: Methodsmentioning

confidence: 97%

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Asymmetric information as a barrier to knowledge spillovers in expert markets

Feser

Proeger

2016

Int Entrep Manag J

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: This paper investigates barriers to effective knowledge spillovers for markets in which the product can be characterized as a credence good, i.e. its complexity impedes the evaluation of quality by customers both ex-ante and ex-post. We focus on the German market for energy efficiency consultants, as an emerging and subsidized sector in which the service offered has strong credence good properties. Based upon in-depth interviews with stakeholders, we analyze the determinants and barriers to knowledge spillovers. We find that the incentive to foster spillovers to increase suppliers' knowledge is limited by the difficult commercialization of additional capabilities. The implementation of a public certification scheme has failed to increase the sectoral knowledge spillovers. By contrast, the participation in formal knowledge networks has been more effective in prompting companies to foster knowledge spillovers, which has also led to a higher degree of specialization. We conclude that access to certification schemes should be further restricted to increase market transparency and private networks should be supported to achieve the aim of increasing knowledge spillovers. Terms of use: Documents in

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Section: Discussionsupporting

confidence: 77%

Section: Methodsmentioning

confidence: 97%

Asymmetric information as a barrier to knowledge spillovers in expert markets

Feser

Proeger

2016

Int Entrep Manag J

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“…Many entrepreneurs treat local firms as competitors, so they do not get involved in local networks [50]. Additionally, knowledge spillovers are still regarded as having locally limited spatial scope [13]. Hence, non-local relationships matter for economic development and understanding of clusters [51,52].…”

Section: Spatiality Of Knowledge Flowsmentioning

confidence: 99%

“…Monitoring activities (e.g., business and academic reviews) may be carried out in relation to entities that are very distant geographically. The same increasingly applies to employee mobility [13,54]. However, the intercompany mobility of employees, especially in CEE, is limited in space.…”

Section: Spatiality Of Knowledge Flowsmentioning

confidence: 99%

Geographical Proximity Paradox Revisited: The Case of IT Service SMEs in Poland

Micek

2019

Sustainability

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Knowledge flow is among the most crucial social processes triggering innovation and regional development. Intercompany knowledge flow among Polish information technology (IT) service small- and medium-sized enterprises (SMEs) is studied in this paper. The main aim is to identify market and technological knowledge flow channels and their spatial scales. Based on information derived from computer-assisted telephone interviews (CATIs), in-depth interviews (IDIs) and data analysis (correspondence analysis and comparative study of spatial structures of knowledge flows), the geographical proximity paradox is tested. It is argued there is a need to move beyond the local buzz–global pipeline dichotomy. Knowledge is acquired at various spatial scales, which enhances the sustainability of the knowledge acquisition process and makes companies, regions and cities more resilient. The multiscalarity of knowledge flows is the most remarkable in the case of private contacts with colleagues from schools or previous workplaces. Spatially diversified study and job experiences of entrepreneurs goes along with return migration. In earlier Central and Eastern European studies, knowledge flow was often defined by the dominance of national (domestic) flow over weak global interactions. Trade relations, especially those occurring on an international scale, represent the most important channel of market and technological knowledge flow for the surveyed companies. The second most important channel is the employment of specialists, which is by far the most frequent and most important on an interregional scale. Due to the small size of surveyed companies, foreign specialists are used least frequently. Instead of using regional business events as a vehicle for knowledge flow, representatives of the IT service sector prefer to attend domestic meetings. In the case of Polish IT service SMEs, the paradox of geographical proximity is better described by the dominance of national over global knowledge flow.

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“…Meanwhile, specific commercial innovation centres, such as Silicon Valley, cultivate different specialisms of disruptive technology. Geography, and specifically the spatial concentration of knowledge for a given innovation, are also significant to disruption (Martin, 2015 [1]; Nathan and Vandore, 2014 [2]; Schmidt, 2015 [3]).…”

Section: Introductionmentioning

confidence: 99%

Taming Disruption? Pervasive Data Analytics, Uncertainty and Policy Intervention in Disruptive Technology and its Geographic Spread

Brackin

Jackson

Leyshon

et al. 2019

IJGI

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The topic of technology development and its disruptive effects has been the subject of much debate over the last 20 years with numerous theories at both macro and micro scales offering potential models of technology progression and disruption. This paper focuses on how theories of technology progression may be integrated and considers whether suitable indicators of this progression and any subsequent disruptive effects might be derived, based on the use of big data analytic techniques. Given the magnitude of the economic, social, and political implications of many disruptive technologies, the ability to quantify disruptive change at the earliest possible stage could deliver major returns by reducing uncertainty, assisting public policy intervention, and managing the technology transition through disruption into deployment. However, determining when this stage has been reached is problematic because small random effects in the timing, direction of development, the availability of essential supportive technologies or "platform" technologies, market response or government policy can all result in failure of a technology, its form of adoption or optimality of implementation. This paper reviews key models of technology evolution and their disruptive effect including the geographical spread of disruption. The paper then describes a use case and an experiment in disruption prediction, looking at the geographical spread of disruption using internet derived historic data. The experiment, although limited to one specific aspect of the integrated model outlined in the paper, provides an initial example of the type of analysis envisaged. This example offers a glimpse into the potential indicators and how they might be used to measure disruption hinting at what might be possible using big data approaches.

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Balancing the spatial localisation ‘Tilt’: Knowledge spillovers in processes of knowledge-intensive services

Cited by 34 publications

References 99 publications

Asymmetric information as a barrier to knowledge spillovers in expert markets

Asymmetric information as a barrier to knowledge spillovers in expert markets

Geographical Proximity Paradox Revisited: The Case of IT Service SMEs in Poland

Taming Disruption? Pervasive Data Analytics, Uncertainty and Policy Intervention in Disruptive Technology and its Geographic Spread

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