An empirical study of firm’s absorptive capacity dimensions, supplier involvement and new product development performance

Najafi-Tavani, Saeed; Sharifi, Hossein; Soleimanof, Sohrab; Najmi, Manoochehr

doi:10.1080/00207543.2013.774480

Cited by 63 publications

(39 citation statements)

References 67 publications

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“…Collaborating with external partners is an effective mechanism for firms to identify and access the knowledge and information resources that exist in their partners (e.g. Luzzini et al, 2015;Najafi-Tavani et al, 2013;Winkelbach & Walter, 2015). Such collaborative innovation networks are particularly important in Iran given the international sanctions imposed over the last few decades that have forced local firms to rely more on their local actors to gain resources that they lack internally (seeZaefarian et al, 2017;Zaefarian et al, 2016).…”

Section: Theoretical Implicationsmentioning

confidence: 99%

“…In an increasingly global and competitive business environment, firms have recognized the necessity of investing in new product development (NPD) to survive and gain competitive advantage (Gonzalez-Zapatero et al, 2016;Mu et al, 2017;Najafi-Tavani et al, 2013). NPD is, however, argued to be a resource intensive and expensive process associated with high risk (Liang et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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How collaborative innovation networks affect new product performance: Product innovation capability, process innovation capability, and absorptive capacity

Najafi-Tavani

Naudé

et al. 2018

Industrial Marketing Management

397

275

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The current literature has investigated the direct relationship between collaborative innovation networks and new product performance, but the results are inconsistent. This research aims to explore the role of product and process innovation capabilities as two distinct mechanisms through which collaborative innovation networks improve new product performance. The study also examines the contingent effects of absorptive capacity on the relationship between collaborative innovation networks and the two innovation capability dimensions (i.e. product and process innovation). Survey data from 258 respondents from the Iranian high and medium technology manufacturing industries indicates the need for caution when developing collaborative innovation networks. We found that the effects of collaborative innovation networks on either product or process innovation capability are significant only in the presence of absorptive capacity. This finding suggests that the level of collaboration with different partners can enhance firms' innovation capabilities only if the focal firm's managers have developed the capacity to scan and acquire external knowledge. Our analyses further indicate that in the presence of absorptive capacity, only collaboration with research organizations and competitors have a positive effect on product innovation capability. In the case of process 2 | P a g e innovation capability, collaboration with research organizations and suppliers are the most important factors.

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Section: Theoretical Implicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How collaborative innovation networks affect new product performance: Product innovation capability, process innovation capability, and absorptive capacity

Najafi-Tavani

Naudé

et al. 2018

Industrial Marketing Management

397

275

View full text Add to dashboard Cite

show abstract

“…Therefore, the proposed model introduces perceived risk shared as another performance dimension of collaboration process in CPD. Considering the appropriateness of the indicators used in recent related studies, this conceptual model adopts quality of design [24], [28], market acceptance [24], [29], time to market [16], [24], and financial performance [29] to evaluate the new product performance. In addition to the comprehensive performance evaluation criteria comprising collaboration process performance and new product performance, selecting meaningful constructs for the ICT usage would be necessary to ensure a holistic exploration of the effect of ICT on 'CPD performance'.…”

Section: Ict Usage and Its Effect On Cpd Performancementioning

confidence: 99%

The Role of ICT in Collaborative Product Development: A Conceptual Model Based on Information Processing Theory

Silva¹

2014

IJIMT

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Manufacturing firms are increasingly adopting collaborative product development (CPD) as a strategy to achieve competitive advantage through joint synergies in introducing new products to market. Substantial increase in use of information and communication technology (ICT) in CPD is evidenced recently, as a result of extended spans between collaborative partners and enhanced collaboration effectiveness. Since using ICT is a highly cost intensive task, uncovering a detailed picture of the effect of ICT usage on CPD performance would be immensely useful for effective management ICT in CPD. This study develops a conceptual model (measurement considerations included) to comprehensively examine the role of ICT in CPD. Organizational information processing theory (OIPT) is adopted as the key methodology to draw the relationship between ICT usage and tangible and intangible outcomes of CPD. The model guides testing of hypotheses concerning direct and moderated effects of ICT usage on CPD performance considering project characteristics (complexity, uncertainty, and urgency) as moderators. Key insights from the model suggest that utilization of ICT resources and capabilities based on the information processing requirement generated by the characteristics of a project would provide better results in Index Terms-Collaborative product development, ICT usage, organizational information processing theory Manuscript

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“…Inman et al (2011) apply SEM to find the association between agile manufacturing and companies' performance in a JIT environment; and finally, Bortolotti, Danese, and Romano (2013) make use of SEM to determine the impact of JIT on operational performance. Najafi Tavani et al (2013) analyse its effects on the relationship between supplier involvement and new product development performance; Gawankar, Kamble, and Verma (2013) investigate the relationships between supply chain management practices and organisations. Additionally, Jakhar and Barua (forthcoming) develop a comprehensive evaluation tool and decision model, which can help the practitioners to gauge their supply chain performance and guide them in decision-making for further improvements; and Kim, Suresh and, Kocabasoglu-Hillmer (2013) investigate the impact of manufacturing flexibility and the technological dimensions of manufacturing strategy on responsiveness in the supply chain.…”

Section: Structural Equation Modelling and Its Use In The Modelling Omentioning

confidence: 99%

Structural equations modelling for relational analysis of JIT performance inmaquiladorasector

García

Blanco‐Fernández

Jiménez

et al. 2014

International Journal of Production Research

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This paper analyses the process of implementing a just-in-time (JIT) methodology in maquiladora assembly plants in Mexico, through 20 activities undertaken in the areas of administration, supervision and production. The proposed approach uses a factor analysis of each group of variables (validating their feasibility through an analysis of the correlation matrix) by sections, activities and benefits obtained. A structural equations model is proposed to show how key factors in the success of the implementation of JIT associated with productive activities interrelate with factors linked to benefits. The results forthcoming from the study show that the benefits obtained through the proper administration by senior managers of their powers are directly reflected in the plant's productivity indices, such as increases in output, quality and the operational flexibility of production systems. Furthermore, a good relationship with and management of suppliers guarantees an acceptable level of control over inventories, regarding both work in process and the end product, and likewise impact upon productivity indices.

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An empirical study of firm’s absorptive capacity dimensions, supplier involvement and new product development performance

Cited by 63 publications

References 67 publications

How collaborative innovation networks affect new product performance: Product innovation capability, process innovation capability, and absorptive capacity

How collaborative innovation networks affect new product performance: Product innovation capability, process innovation capability, and absorptive capacity

The Role of ICT in Collaborative Product Development: A Conceptual Model Based on Information Processing Theory

Structural equations modelling for relational analysis of JIT performance inmaquiladorasector

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