ere the data analyzed in a logical and scientifically sound manne

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
icon
Related questions
Question

1. Were the data analyzed in a logical and scientifically sound manner? 

2. Does the paper provide a unique contribution to the engineering management disciplines?

3. How would you improve upon the article? 

 

Exhibit 2. Selected studies on CP and NPD performance.
Study
(E. (Er) Fang,
2008)
(E. Fang et al.,
2008)
(Bonner, 2010)
Study
(Lin et al.,
2013)
Mediator (Me)/
Moderator (Mo)
(Chang & Taylor,
2016)
Mo: Downstream customer network
connectivity, Process interdependence,
Process complexity
Me: Information sharing, Coordination
effectiveness, Supplier relationship-
specific investment, Customer
relationship-specific investment, New
product value, Supplier dependence,
Customer dependence, Customer
perception of "fair share"
Mo: CP formality
Me: Quality of customer information
Mo: Newness of product,
Embeddedness of product (moderating
the association between customer
interactivity and quality of customer
Mediator (Me)/
Moderator (Mo)
information)
Mo: Product innovativeness
(Menguc, Auh, & Mo: Capability of incremental
Xannopoulos.
innovation, Capability of radical
2014)
innovation
Mo: Emerging/developed country,
Technological turbulence, B2B/B2C,
High/low tech industry, Firm size
Me: Speed to market, Innovativeness of
new product
Dependent
Variables
Innovativeness,
Speed to market
Value obtained by
customer
New product
performance
7
Dependent
Variables
NPD outcomes
New product
performance
Financial
performance
Key Findings
Process interdependence weakens the association
between CP as co-developer and speed to market
of new product. Process interdependence
strengthens the association between CP as co-
developer and innovativeness of new product.
CP positively affects new product value, sharing
of information, effectiveness of coordination
between supplier and customer (the NPD
processes), and relationship-specific investment by
supplier and customer (NPD investments). CP
formality strengthens the effect of CP on both
supplier and customer relationship-specific
investments.
For both highly new (innovative) and embedded
(in the environment of customer) products,
customer interactivity positively affects quality of
customer information that improves new product
performance.
Key Findings
CP as co-developer positively affects NPD
outcomes and product innovativeness positively
moderates this effect.
CP in design improves new product performance
and capability of incremental innovation
strengthens this effect. CP in design negatively
affects new product performance when capability
of radical innovation is high.
CP in the ideation and launch stages positively
affect financial performance of new product and
speed to market mediates these effects. CP in the
development phase increases time to market and in
turn cause to poor financial performance. The
effect of CP on NPD performance are more
significant in emerging countries, technologically
turbulent projects, business customers (B2B), low-|
tech industries and small firms.
Transcribed Image Text:Exhibit 2. Selected studies on CP and NPD performance. Study (E. (Er) Fang, 2008) (E. Fang et al., 2008) (Bonner, 2010) Study (Lin et al., 2013) Mediator (Me)/ Moderator (Mo) (Chang & Taylor, 2016) Mo: Downstream customer network connectivity, Process interdependence, Process complexity Me: Information sharing, Coordination effectiveness, Supplier relationship- specific investment, Customer relationship-specific investment, New product value, Supplier dependence, Customer dependence, Customer perception of "fair share" Mo: CP formality Me: Quality of customer information Mo: Newness of product, Embeddedness of product (moderating the association between customer interactivity and quality of customer Mediator (Me)/ Moderator (Mo) information) Mo: Product innovativeness (Menguc, Auh, & Mo: Capability of incremental Xannopoulos. innovation, Capability of radical 2014) innovation Mo: Emerging/developed country, Technological turbulence, B2B/B2C, High/low tech industry, Firm size Me: Speed to market, Innovativeness of new product Dependent Variables Innovativeness, Speed to market Value obtained by customer New product performance 7 Dependent Variables NPD outcomes New product performance Financial performance Key Findings Process interdependence weakens the association between CP as co-developer and speed to market of new product. Process interdependence strengthens the association between CP as co- developer and innovativeness of new product. CP positively affects new product value, sharing of information, effectiveness of coordination between supplier and customer (the NPD processes), and relationship-specific investment by supplier and customer (NPD investments). CP formality strengthens the effect of CP on both supplier and customer relationship-specific investments. For both highly new (innovative) and embedded (in the environment of customer) products, customer interactivity positively affects quality of customer information that improves new product performance. Key Findings CP as co-developer positively affects NPD outcomes and product innovativeness positively moderates this effect. CP in design improves new product performance and capability of incremental innovation strengthens this effect. CP in design negatively affects new product performance when capability of radical innovation is high. CP in the ideation and launch stages positively affect financial performance of new product and speed to market mediates these effects. CP in the development phase increases time to market and in turn cause to poor financial performance. The effect of CP on NPD performance are more significant in emerging countries, technologically turbulent projects, business customers (B2B), low-| tech industries and small firms.
Study
(Anna S. Cui & Mo: Technological capability
Wu, 2016)
(Anna Shaojie
Cui & Wu, 2017)
(Morgan et al.,
2018)
(Morgan,
Anokhin, &
Study
(Morgan,
Me: NPD speed
Anokhin, Song, & Mo: Environmental turbulence
Chistyakova
2019)
Wincent, 2019)
(Hwang, Kim,
Hur, &
Schoenherr,
2019)
(Wang et al.,
2020)
Mousavi,
Zaefarian, &
Naudé, 2020)
(S. Najafi-
Study
Mediator (Me)/
Moderator (Mo)
Tavani et al.,
2022)
(S. Najafi-
Tavani et al.,
2023)
Mo: Experimental NPD approach
This study
Me: New product innovativeness
Mo: Absorptive capacity
Mo: Customer needs complexity,
Competitive intensity
(Z. Najafi-Tavani, Mo: Customer's dependence on
supplier, Cultural distance
Mediator (Me)/
Moderator (Mo)
Mo: Engineering change orders,
Component novelty, Knowledge
protectiveness of buyer
Me: Customer-developer conflict
Mo: Market newness, Technology
newness (moderating the association
between CP as co-developer and
customer-developer conflict)
ambiguity
Mo: Relationship quality > Role
Mediator (Me)/
Moderator (Mo)
Mo: Absorptive capacity x Desorptive
capacity
Mo: PDMP, PDTP and TU
Dependent
Variables
New product
performance
Innovativeness,
Advantage,
Financial
performance
NPD performance
NPD performance
NSD performance
Dependent
Variables
Supplier's
component
development
performance
NPD performance
Supplier
performance
Product innovation
10
Dependent
Variables
New product
performance
NPD performance
Key Findings
CP as co-developer improves new product
performance. This effect 19 moderated by
technological capability in an inverted U-shaped
manner.
Experimental NPD approach weakens the
association between CP as co-developer and new
product innovativeness. CP as an information
source and CP as co-developer have suppressive
effect on new product innovativeness.
CP improves NPD performance and new product
innovativeness mediates this effect. Absorptive
capacity of firm strengthens the effect of CP on
NPD performance.
CP positively affects NPD speed and
environmental turbulence positively moderates
this effect. NPD speed has a mediating role
between CP and NPD performance.
CP positively affects NSD performance.
Complexity of customer needs positively
Key Findings
moderates this effect, while competitive intensity
negatively moderates it.
Inter-organizational information processing
capability of supplier positively affects
performance of component development.
Engineering change orders of buyer strengthen
this effect, while knowledge protectiveness of
buyer weakens it.
CP as co-developer increases customer-developer
conflict. Market newness negatively moderates
this effect. Technology newness positively
moderates the effect of CP as co-developer on
customer-developer conflict. Customer-developer
conflict negatively affects NPD performance.
CP positively affects performance of supplier.
Customer dependence on supplier and cultural
distance strengthen this effect.
CP affects product innovation in an inverted U-
Key Findings
shaped manner. Interaction of relationship quality
and role ambiguity moderates this effect.
CP affects new product performance in an inverted
U-shaped manner. Interaction of absorptive
capacity and desorptive capacity moderates this
effect.
CP has not sufficient effect on NPD performance.
In the conditions of high PDTP and high TU, its
effect is sufficiently positive.
Transcribed Image Text:Study (Anna S. Cui & Mo: Technological capability Wu, 2016) (Anna Shaojie Cui & Wu, 2017) (Morgan et al., 2018) (Morgan, Anokhin, & Study (Morgan, Me: NPD speed Anokhin, Song, & Mo: Environmental turbulence Chistyakova 2019) Wincent, 2019) (Hwang, Kim, Hur, & Schoenherr, 2019) (Wang et al., 2020) Mousavi, Zaefarian, & Naudé, 2020) (S. Najafi- Study Mediator (Me)/ Moderator (Mo) Tavani et al., 2022) (S. Najafi- Tavani et al., 2023) Mo: Experimental NPD approach This study Me: New product innovativeness Mo: Absorptive capacity Mo: Customer needs complexity, Competitive intensity (Z. Najafi-Tavani, Mo: Customer's dependence on supplier, Cultural distance Mediator (Me)/ Moderator (Mo) Mo: Engineering change orders, Component novelty, Knowledge protectiveness of buyer Me: Customer-developer conflict Mo: Market newness, Technology newness (moderating the association between CP as co-developer and customer-developer conflict) ambiguity Mo: Relationship quality > Role Mediator (Me)/ Moderator (Mo) Mo: Absorptive capacity x Desorptive capacity Mo: PDMP, PDTP and TU Dependent Variables New product performance Innovativeness, Advantage, Financial performance NPD performance NPD performance NSD performance Dependent Variables Supplier's component development performance NPD performance Supplier performance Product innovation 10 Dependent Variables New product performance NPD performance Key Findings CP as co-developer improves new product performance. This effect 19 moderated by technological capability in an inverted U-shaped manner. Experimental NPD approach weakens the association between CP as co-developer and new product innovativeness. CP as an information source and CP as co-developer have suppressive effect on new product innovativeness. CP improves NPD performance and new product innovativeness mediates this effect. Absorptive capacity of firm strengthens the effect of CP on NPD performance. CP positively affects NPD speed and environmental turbulence positively moderates this effect. NPD speed has a mediating role between CP and NPD performance. CP positively affects NSD performance. Complexity of customer needs positively Key Findings moderates this effect, while competitive intensity negatively moderates it. Inter-organizational information processing capability of supplier positively affects performance of component development. Engineering change orders of buyer strengthen this effect, while knowledge protectiveness of buyer weakens it. CP as co-developer increases customer-developer conflict. Market newness negatively moderates this effect. Technology newness positively moderates the effect of CP as co-developer on customer-developer conflict. Customer-developer conflict negatively affects NPD performance. CP positively affects performance of supplier. Customer dependence on supplier and cultural distance strengthen this effect. CP affects product innovation in an inverted U- Key Findings shaped manner. Interaction of relationship quality and role ambiguity moderates this effect. CP affects new product performance in an inverted U-shaped manner. Interaction of absorptive capacity and desorptive capacity moderates this effect. CP has not sufficient effect on NPD performance. In the conditions of high PDTP and high TU, its effect is sufficiently positive.
Expert Solution
steps

Step by step

Solved in 3 steps

Blurred answer
Recommended textbooks for you
Computer Networking: A Top-Down Approach (7th Edi…
Computer Networking: A Top-Down Approach (7th Edi…
Computer Engineering
ISBN:
9780133594140
Author:
James Kurose, Keith Ross
Publisher:
PEARSON
Computer Organization and Design MIPS Edition, Fi…
Computer Organization and Design MIPS Edition, Fi…
Computer Engineering
ISBN:
9780124077263
Author:
David A. Patterson, John L. Hennessy
Publisher:
Elsevier Science
Network+ Guide to Networks (MindTap Course List)
Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:
9781337569330
Author:
Jill West, Tamara Dean, Jean Andrews
Publisher:
Cengage Learning
Concepts of Database Management
Concepts of Database Management
Computer Engineering
ISBN:
9781337093422
Author:
Joy L. Starks, Philip J. Pratt, Mary Z. Last
Publisher:
Cengage Learning
Prelude to Programming
Prelude to Programming
Computer Engineering
ISBN:
9780133750423
Author:
VENIT, Stewart
Publisher:
Pearson Education
Sc Business Data Communications and Networking, T…
Sc Business Data Communications and Networking, T…
Computer Engineering
ISBN:
9781119368830
Author:
FITZGERALD
Publisher:
WILEY