Knowledge-acquisitions and post-acquisition innovation performance: a comparative hazards model

Datta, Pratim; Roumani, Yaman

doi:10.1057/ejis.2014.32

Cited by 30 publications

(32 citation statements)

References 44 publications

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“…Innovation performance highlights technological innovation and mainly comprises PSIP and PDIP. In accordance with previous research [26,37,38], PSIP emphasizes the use of new or improved manufacturing and business processes in enterprises. PDIP involves research, development and the production of new products and services.…”

Section: Variables and Measurementsupporting

confidence: 75%

The Impact of Information Technology Capabilities of Manufacturing Enterprises on Innovation Performance: Evidences from SEM and fsQCA

et al. 2019

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With the development of national strategies (such as Industrial 4.0 and Made in China 2025), how to build digital enterprises and cultivate innovation capabilities of enterprises has become a critical problem to Chinese manufacturing enterprises. However, the literature on the specific path of information technology (IT) capabilities to the innovation of enterprises is still lacking a body of relevant empirical research. In particular, it has not yet thought to explore the information technology capabilities, digital transformation, and then innovation performance of manufacturing enterprises. By performing a questionnaire investigation for 138 Chinese manufacturing enterprises, this study adopted both a fuzzy-set qualitative comparative analysis (fsQCA) and structural equation modeling (SEM) to explore the set relations of the conjunctions and conditions and the statistical associations by studying the relationships among information technology capabilities, digital transformation and innovation performance. The results show that the positive impacts of information technology capabilities on the process innovation performance and the digital transformation, as well as the positive impacts of digital transformation on both process innovation performance and product innovation performance. Specifically, digital transformation takes on a new function of partial mediation of IT capabilities and process innovation performance, and digital transformation functions as a complete mediator for IT capabilities and product innovation performance. The combinations of causal recipes related to innovation performance are provided by a fuzzy-set qualitative comparative analysis (fsQCA). Through the analyses of SEM and fsQCA, this research develops the formation mechanisms of both process innovation performance and product innovation performance, and provides guidance for both IT and innovation management of manufacturing enterprises in China.Sustainability 2019, 11, 5946 2 of 17 and automation in organizational operation by using digital techniques, like cloud computing, big data, and the social platforms (Bharadwaj et al., 2013).). Enterprises which have realized DT can rapidly achieve product innovation and process innovation and meet personalized and changeable demands of customers, thus forming sustainably developing competitiveness. For example, the Haier Group building itself, a digital enterprise by means of Teamcenter (a full-life cycle management platform of model-based enterprise (MBE)) improves efficiency for new product development and supports global design collaboration and the operation of its supply chain. Therefore, how to build digital enterprises and cultivate innovation capabilities of enterprises has become an urgent practical problem for traditional manufacturing enterprises as they take the road to Industry 4.0.The existing literature [6][7][8][9] generally considered that information technology or digital technology can promote firm innovation (The innovation performance in this research mainly refers t...

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Section: Variables and Measurementsupporting

confidence: 75%

The Impact of Information Technology Capabilities of Manufacturing Enterprises on Innovation Performance: Evidences from SEM and fsQCA

et al. 2019

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“…It is well known that Google and Yahoo have used acquisitions as a major part of a strategy to manage innovation performance (Datta and Roumani, 2015). In particular, both have tried to increase their pace of innovation by means of acquisitions.…”

Section: Model Developmentmentioning

confidence: 99%

“…They took the measure of innovation success to be the time to patent (TTP) and the time to launch (TTL) a product, where each was the first such event, that is the first such event of each type that happened after an acquisition measured in days, where a few observations were right censored. The data were found in publicly available data sources (Datta and Roumani, 2015). Because of the type of data a Cox regression seemed a reasonable way to start.…”

Section: Model Developmentmentioning

confidence: 99%

“…Recently several authors have used survival analysis (also known as event history analysis) as a method to gauge the innovation performance of a firm. Most recently Datta and Roumani (Datta and Roumani , 2015) have attempted to do this by means of a proportional hazards Cox regression (Cox, 1972) model. We recognize that such a timeto-event study is quite a reasonable approach to take but unfortunately the authors were unaware of the statistical difference between predictive and explanatory models as described in the seminal work by Shmueli (Shmueli , 2010).…”

Section: Introductionmentioning

confidence: 99%

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The Use of Predictive Modeling in the Evaluation of Technical Acquisition Performance Using Survival Analysis

Booth¹,

Ozgur²

2021

Journal of Data Science

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In the recent statistical literature, the difference between explanatory and predictive statistical models has been emphasized. One of the tenets of this dichotomy is that variable selection methods should be applied only to predictive models. In this paper, we compare the effectiveness of the acquisition strategies implemented by Google and Yahoo for the management of innovations. We argue that this is a predictive situation and thus apply lasso variable selection to a Cox regression model in order to compare the Google and Yahoo results. We show that the predictive approach yields different results than an explanatory approach and thus refutes the conventional wisdom that Google was always superior to Yahoo during the period under consideration.

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“…Prabhu et al [57] argued that the width and depth of the knowledge possessed by the acquirer influence post-M&A performance, while Datta and Roumani [58] stated that innovativeness and the size of the knowledge of the acquirer are the factors that impact performance. Based on these theories, this study presents the following hypotheses: Hypothesis 1a.…”

Section: Acquirer's Technological Capabilitymentioning

confidence: 99%

The Influence of a Firm’s Capability and Dyadic Relationship of the Knowledge Base on Ambidextrous Innovation in Biopharmaceutical M&As

2019

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In recent years, technological mergers and acquisitions (M&As) have become important strategic tools for enterprises to access and utilize new external knowledge. In particular, in the biopharmaceutical industry, M&A activities are actively being progressed due to an increase in new drug development costs, a decrease in R&D productivity, and the patent expiration of blockbuster drugs. However, there is a lack of research on the integrated view of (1) the acquirer’s capability and (2) the dyadic relationship of the knowledge base between the acquirer and target on the innovation performance of the acquirer. Furthermore, there are few empirical studies on the impact of these factors on ambidextrous innovation; that is, exploitative and explorative innovation. Therefore, with this integrated view in mind, this study analyzed the effect of each factor on the exploitative and exploratory innovation performance of the acquirer. A negative binomial regression was conducted using patent data to measure the innovation outcome of the acquirer after M&A. The findings suggest that (1) the acquisition experience of the acquirer and (2) the technological commonness between the acquirer and the target both had a significant impact on the exploitation and exploration innovation performance.

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Knowledge-acquisitions and post-acquisition innovation performance: a comparative hazards model

Cited by 30 publications

References 44 publications

The Impact of Information Technology Capabilities of Manufacturing Enterprises on Innovation Performance: Evidences from SEM and fsQCA

The Impact of Information Technology Capabilities of Manufacturing Enterprises on Innovation Performance: Evidences from SEM and fsQCA

The Use of Predictive Modeling in the Evaluation of Technical Acquisition Performance Using Survival Analysis

The Influence of a Firm’s Capability and Dyadic Relationship of the Knowledge Base on Ambidextrous Innovation in Biopharmaceutical M&As

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