2016
DOI: 10.1017/jmo.2016.11
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Proactive market orientation and innovation in India: The moderating role of intrafirm causal ambiguity

Abstract: Despite the implication of organizational resources and the resource-based view of the firm, the market orientation literature has not examined associated constructs. Additionally, while it is recognized that emerging economies (e.g., India) are key drivers of economic growth, this literature has not paid sufficient attention to such markets, with few exceptions. We examine the impact of proactive market orientation on innovation capability, and performance in a sample of predominantly service firms, in a cult… Show more

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Cited by 25 publications
(14 citation statements)
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References 64 publications
(213 reference statements)
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“…The findings also show that proactive market orientation variables find and satisfy latent customer needs by searching for new ideas tailored to consumer needs. PMO applies generative learning to transcend the boundaries of the existing customers and markets, thereby encouraging the firm's readiness to innovate and develop new products, which ultimately improve performance (Lakshman et al, 2017). This hypothesis is supported by Kirca et al (2005) which states that a proactive market orientation affects all aspects of business performance, profit, market share, sales volume, perceived quality, customer satisfaction, and customer loyalty.…”
Section: Discussionmentioning
confidence: 99%
“…The findings also show that proactive market orientation variables find and satisfy latent customer needs by searching for new ideas tailored to consumer needs. PMO applies generative learning to transcend the boundaries of the existing customers and markets, thereby encouraging the firm's readiness to innovate and develop new products, which ultimately improve performance (Lakshman et al, 2017). This hypothesis is supported by Kirca et al (2005) which states that a proactive market orientation affects all aspects of business performance, profit, market share, sales volume, perceived quality, customer satisfaction, and customer loyalty.…”
Section: Discussionmentioning
confidence: 99%
“…Based on previous studies (Kim, Im, & Slater, 2013; Qian, Cao, & Takeuchi, 2013; Huang, Rice, & Martin, 2015; Lakshman, Kumra, & Adhikar, 2017), we controlled firm-level variables that included R&D expenditure, size, industry, and age. R&D expenditure was measured by three items adopted from Kim, Im, and Slater (2013).…”
Section: Methodsmentioning
confidence: 99%
“…Their findings indicate that through applying a hypothetical-deductive method, which builds on continuously testing and revising those hypotheses that are embedded in interpretations, ambiguity can be reduced. The importance of trying to reduce causal ambiguity is substantiated by two studies: Laursen and Andersen (2016) and Lakshman, Kumra, and Adhikari (2017). The former shows that high levels of causal ambiguity in the early phases of NPD processes lead to a lack of role clarity among the parties involved in the processes, impeding the mobilization of resources and stimulating behaviors aimed at role clarification in buyer-supplier relationships.…”
Section: An Organizing Framework Mapping Causal Ambiguity Research Stmentioning
confidence: 99%