How to Measure Technological Distance in Collaborations? The Case of Electric Mobility

被引:0
|
作者
vom Stein, Nicole [1 ]
Sick, Nathalie [1 ]
Leker, Jens [1 ]
机构
[1] Univ Munster, Dept Chem & Pharm, Inst Business Adm, D-48149 Munster, Germany
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Innovation collaborations experienced a substantial growth during the last decades, so that the research interest in factors contributing to successful collaboration increased. An appropriate technological distance, which determines the probability of receiving new knowledge from a partner as well as the ability of absorbing it, appears to be one of the success factors. The methodology for measuring this distance received massive attention in the latest literature. Therefore, we compare well established measuring methods with the recently introduced method of the min-complement distance. We focus on selected electric mobility collaborations between the chemical and automobile industry as they represent an emerging research field that aims to overcome deficiencies associated with battery development for electric mobility. Considering findings for intra-industry collaborations that show diminishing effects on innovation outcomes after exceeding a certain technological distance leads to questions concerning the success of such cross-industry collaborations. We show that the methodology used influences the approximation of technological distance in the examined collaborations. The use of the min-complement distance seems to be reasonable. Therefore, our work contributes to a better understanding of measuring technological distance from a methodological point of view as well as to its meaning for cross-industry collaborations.
引用
收藏
页码:288 / 300
页数:13
相关论文
共 50 条
  • [1] How to measure technological distance in collaborations - The case of electric mobility
    vom Stein, Nicole
    Sick, Nathalie
    Leker, Jens
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2015, 97 : 154 - 167
  • [2] A measure of technological distance
    Bar, Talia
    Leiponen, Aija
    [J]. ECONOMICS LETTERS, 2012, 116 (03) : 457 - 459
  • [3] How to measure the impacts of shared automated electric vehicles on urban mobility
    Nemoto, Eliane Horschutz
    Issaoui, Roukaya
    Korbee, Dorien
    Jaroudi, Ines
    Fournier, Guy
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2021, 93
  • [4] Do Labour Mobility and Technological Collaborations Foster Geographical Knowledge Diffusion? The Case of European Regions
    Miguelez, Ernest
    Moreno, Rosina
    [J]. GROWTH AND CHANGE, 2013, 44 (02) : 321 - 354
  • [5] How to Measure Distance
    Nussey, John
    [J]. ELECTRONICS WORLD, 2014, 120 (1934): : 44 - 45
  • [6] TECHNOLOGICAL DISTANCE IN ACADEMIC COLLABORATIONS: EVIDENCE FROM BATTERY RESEARCH
    Stein, Nicole Vom
    Sick, Nathalie
    [J]. INTERNATIONAL JOURNAL OF INNOVATION MANAGEMENT, 2014, 18 (06)
  • [7] Electric fish measure distance in the dark
    von der Emde, G
    Schwarz, S
    Gomez, L
    Budelli, R
    Grant, K
    [J]. NATURE, 1998, 395 (6705) : 890 - 894
  • [8] Electric fish measure distance in the dark
    Gerhard von der Emde
    Stephan Schwarz
    Leonel Gomez
    Ruben Budelli
    Kirsty Grant
    [J]. Nature, 1998, 395 : 890 - 894
  • [9] Technological upheavals - How distance is dying
    Henderson, DR
    [J]. FORTUNE, 1998, 137 (04) : 44 - +
  • [10] Asymmetric technological distance measure based on language model
    Tanaka, Katsuyuki
    Kinkyo, Takuji
    Hamori, Shigeyuki
    [J]. APPLIED ECONOMICS LETTERS, 2019, 26 (18) : 1548 - 1551