IOE Flashcards

1
Q

Abernathy, W. and Utterback, J. (1978)

A

Patterns of industrial innovation

Shows a model with patterns of innovation

  • Technological push = radical
  • Market pull = incremental

Phases:

  • Fluid = competing design (functional)
  • Transitional = selection dominant design (product)
  • Specific = exploitation dominant design (process)

Concl: Stage of the evolution of a firm determines the capacity and methods of innovation

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2
Q

Tushman, M. and Anderson, Ph. (1986)

A

Technological discontinuities and organizational environments

Technological discontinuities = massive breakthrough, major improvement of product performance

  • Competence enhancing = build on existing knowledge (smaller improvement)
  • Competence destroying = existing knowledge becomes obsolete (rich get poor = new entrants benefit)

Concl: Patterned changes in technology dramatically affect environmental conditions

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3
Q

Hargadon, A. (2003)

A

Recombinant innovation and the sources of invention

Technology = The arrangement of people, ideas and objects for the accomplishment of a particular goal

Innovation is a process of reassembling:

  • People
  • Ideas
  • Objects

Concl: Learn how to structure the process of innovation by building from existing ideas

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4
Q

Schoenmakers, W. and Duysters, G. (2010)

A

The Technological Origins Of Radical Inventions

The difference between invention and innovation is in commercials; inventions require more effort to develop and market than innovation

Hypotheses:
H1 = Radical inventions are to a higher degree based on existing knowledge, as non-radical inventions

NOT SUPPORTED: Inventions are only radical when they are new, unique and have impact on future technology

H2 = Radical inventions are to a higher degree based on emergent technologies, as non-radical inventions

H3 = Radical inventions are to a higher degree based on a combination of mature and emergent technologies than non-radical inventions

H4 = Radical inventions are based on a relatively large number of knowledge domains compared to non-radical inventions

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5
Q

Nohria, N. and Gulati, R. (1996)

A

Is slack good or bad for innovation?

Inverted U-shape relationship:

  • Too little slack discourages experimentation
  • Too much slack causes a non-efficient way of working

H1: The relationship between organization slack and innovation is inverse U-shaped

What amount of slack is optimal? Determined by the industry and the firm or subunit culture

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6
Q

McKendrick D and Wade JB (2009)

A

Frequent incremental change, organizational size, and mortality in high-technology competition

Is too much incremental change also risky?

Problems with incremental change:
Overestimation of advantages and underestimation of organizational disruptions

H1 = The more frequent incremental technological changes a firm makes, the more likely it is to fail

Advantage large firms:

  • Routines (reliability)
  • Scale economies
  • More resources
  • Market and political power buffer

H2 = Frequent incremental change will have a positive effect on the failure rate of small firms but a negative effect on the hazard state of large firms

Competitors actions prompt other firms to innovate and adapt as well
- Large firms are more damaging

H3 = The greater the number of incremental changes is, the greater the failure of local firms

Concl: Large firms have more benefit and get less harmed

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7
Q

Andriopoulos and Lewis (2009)

A

Exploitation-exploration tensions and organizational ambidexterity: managing paradoxes of innovation

Exploitation (incremental) = building from existing knowledge

Exploration (radical) = looking to new domains and new areas

The goal is to combine these two, this is the key to survive

Ambidexterity = firms that are able to balance between exploitation and exploration

  • Architectural = propose using structures and strategies to enable differentiation, segregated effort target on either exploitative or exploratory innovation
  • Contextual = emphasizes behavioral and social means of integrating exploitation and exploration

Three paradox of ambidexterity:

  • Strategic intent = tension between business and creative sides
  • Customer orientation = tension between tight and loose (future) coupling
  • Personal drives = tension between discipline and passion
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8
Q

Jansen, J.J.P., Tempelaar, M.P., Van den Bosch, F.A.J., and Volberda H.W. (2009)

A

Structural Differentiation and Ambidexterity: The Mediating Role of Integration Mechanisms, Organization Science

How to develop and maintain their ambidexterity?

Structural differentiation = establishes the differences across organizational units in terms of mindset, time orientations, functions, and product/market domains

Elements that mediate the relation between structural differentiation and ambidexterity:
X H1: Senior team contingency rewards 
H2: Senior team social integration
H3: Cross-functional interfaces
H4: Connectedness
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9
Q

Anand, N., Gardner, H.K., and Morris, T. (2007)

A

Knowledge-based innovation: emergence and embedding of new practice areas in management consulting

How does the process of creating and embedding innovations in professional service firms unfold?
Pathways:
- Expertise (internal network) = creation of clear expertise
- Turf (external-internal network) = initial experiment and success with a client
- Support (top-down hierarchy) = top management

H1: A new practice area emerges when socialized agency combined with one other element of the three pathways

H2: A new practice area is embedded when the socialized agency and the three pathways are all linked in a sequence

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10
Q

Gardner, H.K. Anand, N. and Morris. T. (2008)

A

Chartering new territory: Diversification, legitimacy and practice area creation in professional service firms

Knowledge-based innovation: emergence and embedding of new practice areas in management consulting

Legitimacy = acceptance of authority

  • Cognitive = shared understanding about innovations with costumers
  • Socio-political = accept a venture as normatively appropriate and right

Failed innovations:

  • Radical: Lack of external cognitive and internal socio-political legitimacy
  • Incremental: Lack of internal cognitive and external socio-political legitimacy

Concl: Innovation in PFS (professional service firms) requires a combination of these

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11
Q

Chesbrough, H. (2003)

A

The era of open innovation

Modes in open innovation:

  • Funding (Investors & Benefactors)
  • Generating (Explorers, merchants, architects, missionaries)
  • Commercializing (marketers, one-stop centers)

Companies that focus on all three are called fully integrated innovators

What challenges do firm encounter in open innovation?

  • Not invented here syndrome
  • Investing in ideas that someone else benefits from
  • Tacit knowledge

The degree of openness = the ability to exploit external knowledge is a critical component of innovative performance

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12
Q

Laursen, & Salter, A. (2006)

A

Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms

Going open is beneficial for your innovation output up to a certain point, and then it becomes negative (Inverted U-shape)

External search breadth = different search sources that a firm draws

External search depth = extent to which a firm draw intensively from different search sources

H1: External search breath -> Innovative performance

H2: External search depth -> Innovative performance

H3-4: External search breadth/depth -> Innovative performance
With Innovation novelty or Radicalness as a moderator

H5: External search breadth/depth -> Innovative performance
With R&D intensity as a moderator

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13
Q

Rao, H., and Drazin, R., (2002)

A

Overcoming resource constraints on product innovation by recruiting talent from rivals

Young and poorly connected firms benefit from recruitment

  • Liability of newness; lack of routines
  • Liability of poor connectedness; lack of knowledge

H1-2: Age and external linkages have an increasing effect on the probability of product innovation

H3-8: Age and external linkages have a decreasing effect on the probability of recruiting

H9-12: Recruitment has an increasing effect on the probability of product innovation
- Age and external linkages = decreasing

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14
Q

Song, J., Almeida, P., Wu, G. (2003)

A

Learning by hiring: When is mobility more likely to facilitate inter-firm knowledge transfer?

Learning by hiring = acquisition of knowledge from other firms through the hiring of experts

H1: The level of knowledge sources from a hired engineer’s previous firm is lower when the hiring firm exhibits greater path dependence.

Path dependence has a decreasing effect on the level of knowledge sourced

H1: The level of knowledge sources from a hired engineer’s previous firm is lower when the engineer’s area of technological expertise matches the hiring firms are of technological expertise.

Expertise fit of engineer-organization has a decreasing effect on the level of knowledge sourced

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15
Q

Tzabbar, D. (2009)

A

When does scientist recruitment affect technological repositioning?

Why social and technological structures?

  • Knowledge-based view of the firm
  • Absorptive capacity of organizations

Path dependency

H1: Hiring distance scientist increase the likelihood of significant technological repositioning by a firm

H2: The positive effect of recruiting distance scientists on significant technological repositioning decreases with asymmetric in a firm innovative productivity

H3: The positive effect of recruiting distance scientists on significant technological reposting first increases and then decreases with increases a firms technological breath.

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16
Q

Tzabbar D. and Kehoe, R. R. (2013)

A

Can opportunity emerge from disarray? An examination of exploration and exploitation following star scientist turnover.

Align human capital with firm-internal resources and structures

Exploitation = doing what you have already done in the past

Exploration = going into uncharted territory

H1: Star scientists turnover decreases firm technological exploitation & Star scientist turnover increases a firms technological exploration.

H2: Star scientists turnover decreases firm technological exploitation & Star scientist turnover increases a firms technological exploration. Where innovative involvement decreases the effect even more as a moderator.

H3: Star scientists turnover decreases firm technological exploitation & Star scientist turnover increases a firms technological exploration. Where collaborative involvement increases the effect even more as a moderator.

17
Q

Grigoriou, K., & Rothaermel, F. T. (2014)

A

Structural micro-foundations of innovation: the role of relational stars

The focus is on star scientists
Productivity stars = deeply embedded in social and knowledge networks within the company

Relational stars = actors with extreme patterns of collaborative behavior and superior individual productivity

  • Integrators = large, extensive and dense network of intrafirm collaborates
  • Connectors = collaborate with previously unconnected alters and recombine knowledge

H1: The higher the number of integrators, the higher the innovation quantity and quality

H2: The higher the number of connectors, the higher the innovation quantity and quality

H3: The positive effect of connectors on firm-level innovation output is stronger if the connector is also a star inventor

18
Q

Guler, I., & Nerkar, A. (2012)

A

The impact of global and local cohesion on innovation in the pharmaceutical industry.

Network cohesion = when individuals have mutual third party contacts

H1: The higher the level of local cohesion in the intraorganizational network, the higher will be the organizations’ innovation performance

H2: The higher the level of global cohesion in the intraorganizational network, the lower will the organizations’ performance

When the size increases, the connectedness goes down. Diversity and density strengthen each other

19
Q

Almeida, P., Hohberger, J., & Parada, P. (2011)

A

Individual scientific collaborations and firm-level innovation.

Role of academia (universities) for innovation; scientific collaboration

H1: The patented innovative output of biotechnology firms increases with the total number of individual-level collaborations of the firm

X H2: The impact of individual-level collaborations on patented innovative output of the firm increases with the number of technological alliances of the firm

H3: The impact of individual-level collaborations on the patented innovative output of the firm increases with the strength of the regional knowledge

H4: The patented innovative output of biotechnology firms increases with the total number of individual-level collaborations between scientists in the focal firm and those in universities

Both informal alliances and informal collaboration have independent effects

20
Q

Phelps, C. C. (2010)

A

A longitudinal study of the influence of alliance network Structure and composition on firm exploratory innovation

Interfirm alliance (formal arrangements) network perspective on the likelihood to go into unchartered territory

H1: The technological diversity in a firm’s alliance network has an inverted U-shape relationship with the firm’s subsequent degree of exploration
H2: The density of alliance network positively moderates the curvilinear relationship between network diversity and exploratory innovation

21
Q

Grant, R. (1996)

A

Toward a knowledge-based theory of the firm

Knowledge based view = creating competitive advantage from knowledge

Idiosyncratic = particular circumstances of time and place

Knowledge creation is an individual activity. The primary role of firms is in the application of existing knowledge to the production of goods and services.

The key to efficiency is to achieve effective integration while minimizing knowledge transfer through cross-learning by organizational members.

22
Q

Nonaka, I. (1994)

A

A dynamic theory of organizational knowledge creation

Tacit knowledge (top to low) = cognitive and technical of a person. People need some kind of shared experience to transfer tacit to tacit
Explicit knowledge (low to top) = transmittible in formal, systematic language. Using social processes to transfer explicit to explicit
Specific knowledge = costly to transfer

Five organizational conditions of individual commitment:

  • Intention (approach to the world)
  • Autonomy (motivation)
  • Fluctuation and creative chaos
  • Redundancy (=overtolligheid)
  • Requisite variety (diversity internal and external)

Management models:

  • Top-Down (vertical) = efficiency, routine, knowledge creation = Bureaucracy
  • Bottom-Up (horizontal) = flexibility, creativity, knowledge on the work floor = Task groups
  • Middle-Up-Down (middle managers) = combine tacit and explicit knowledge = Hypertext organization
23
Q

Butler, R., Price, D., Coates, P., and Pike, R. (1998)

A

Organizing for innovation: Tight or loose control?

Errors of tightness (focus): the existing structure does not allow sufficient decision-making capacity and unduly constrains choice

Errors of looseness (adaptability): the problem of losing efficiency, overall control and coordination

Balancing tightness and looseness for structure/ direction and for creativity/ problem- solving

24
Q

Gebert. D., Boerner, S. and Kearny, E. (2010)

A

Fostering team innovation: Why is it important to combine opposing action strategies?

Knowledge generation and knowledge integration both necessary for knowledge creation

Openness strategies: delegation of leadership, increases team autonomy for task-related diversity

Closed strategies: directive leadership, curtails team autonomy, homogenizes team composition

Combining strategies: the effects of one strategy do not offset the positive effects of the other strategy – both strategies reinforce one another (cf. Nonaka).

25
Q

Bathelt, H., Malmberg, A. and Maskell, P. (2004)

A

Clusters and knowledge: Local buzz, global pipelines and the process of knowledge creation

Cross-departmental knowledge creation = when experts from different departments get together to develop a new product

Buzz = information and communication ecology created by face-to-face contacts, co-presence and co-location within the same industry or region

Pipelines = channels of communication

H1: Lozal buzz and global pipelines offer advantages for firms engaged in innovation and knowledge creation. Local buzz in beneficial to innovation processes, because it generates opportunities for a variety of spontaneous situations. Global pipelines are instead associated with the integration of multiple selection environments that open different potentialities and feed local interpretations and usage of knowledge.

26
Q

Shearmur, R. (2011)

A

Innovation, regions, and proximity: From neo-regionalism to spatial analysis

  1. Neo regionalism = firm-level innovation cannot be considered in isolation from its environment
  2. Spatial analysis = local variations in the propensity of innovation accessibility to key concentrations of knowledge rather than local factor endowments of institutions.

The propensity to innovate varies with distance to urban centers:

  • Product and process innovations; it first rises with distance from a metropolitan area, then decreases
  • Major product innovation; decreases as the distance rises from a metropolitan area