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?

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.
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.

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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?

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