The influence of subject heterogeneity and absorptive capacity of acquirer on innovation performance in technology-driven M&As

2021 ◽  
pp. 1-24
Author(s):  
Michael Yao-Ping Peng ◽  
Rui Li
Keyword(s):  
Absorptive Capacity ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Governance Structure ◽  
Innovation Performance ◽  
Financial Resources ◽  
High Tech ◽  
Equity Structure ◽  
Acquiring Firms ◽  
The Impact

Abstract This study uses a sample of technological mergers and acquisitions (M&As) of A-share listed companies in the five major high-tech industries from 2012 to 2016, and conducts factor analysis to measure the heterogeneity of these enterprises in terms of financial slack resources, equity resources, and governance structure. On this basis, multivariate regression analysis is utilized to explore the influence of the acquiring firms' heterogeneity on their innovation performance, and the adjustment action of absorptive capacity between heterogeneity and innovation performance. The research results show that the slack financial resources and highly centralized equity structure of enterprises are not conducive to enterprises improving their innovation performance following a technological M&A, while the impact of governance structure on innovation performance following an M&A is similarly not significant. The empirical evidence provided offer insights and a decision reference for technological M&As of high-tech enterprises.

scholarly journals Accelerating Green Innovation Performance from the Relations of Network Potential, Absorptive Capacity, and Environmental Turbulence

2021 ◽  
Vol 13 (14) ◽  
pp. 7765
Author(s):  
Shuizheng Song ◽  
Md Altab Hossin ◽  
Xiaohua Yin ◽  
Md Sajjad Hosain
Keyword(s):  
Sustainable Development ◽  
Absorptive Capacity ◽  
Bootstrap Method ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Mediation Effect ◽  
Environmental Turbulence ◽  
High Tech ◽  
Green Innovation ◽  
The Relationship

The demand for sustainable development and the advantages of industries are expediting over time with the triggering of green innovation performance (GIP). Improving a firm’s GIP, especially in manufacturing industries, can accelerate green development and mitigate the global-concerned environmental issues. Thus, to investigate GIP from its antecedent factors, we delineate the relationship between network potential, absorptive capacity, environmental turbulence, and GIP based on social network theory, organizational learning theory, and contingency theory. We tested our hypotheses based on 233 sets of questionnaire surveys from high-tech manufacturing firms in China through deploying the hierarchical regression and bootstrap method. Our empirical findings reveal that the network potential dimensions, including network position centrality (NPC), network structure richness (NSR), and network relationship closeness (NRC), significantly positively impacted the GIP. The absorptive capacity (AC) partially mediated the relationship between the network potential dimensions and GIP. Environmental turbulence (ET) as an essential mechanism not only positively moderated the relationship between AC and GIP but also enhanced the AC mediation effect. These findings indicate that manufacturing firms should continue to improve network potential and AC and respond rapidly to changes in the external environment to enhance GIP, consequently contributing to the sustainable development of the economy.

Measuring the impact of relational capital on customer performance in the SME B2B sector

2017 ◽  
Vol 23 (6) ◽  
pp. 1144-1166 ◽  
Author(s):  
Lara Agostini ◽  
Anna Nosella ◽  
Benedetta Soranzo
Keyword(s):  
Absorptive Capacity ◽  
Open Innovation ◽  
Moderating Effect ◽  
High Tech ◽  
Relational Capital ◽  
Marketing Capability ◽  
Content Type ◽  
Innovation Practices ◽  
External Actors ◽  
The Impact

Purpose The purpose of this paper is to investigate the influence that different components of relational capital (marketing capability, open innovation with business and scientific partners, technological reputation, brand) have on customer performance (CP). Moreover, the moderating effect of absorptive capacity on such relationships is tested. Design/methodology/approach First, the direct relationship between the different components of relational capital and CP is analyzed through a linear regression model. Then, to test the moderating effect, two distinct regression analyses are conducted into two sub-samples, defined according to the level of absorptive capacity. The authors carried out these analyses on a sample of 150 small- and medium-sized enterprises (SMEs) in the medium- and high-tech B2B context. Findings Results of this study prove that CP is enhanced through firm marketing capability, open innovation with business partners and technological reputation, while brand and open innovation with scientific partner do not have an association with CP. In particular, the impact of marketing capability and open innovation with business actors on CP is greater for firms with higher absorptive capacity. Research limitations/implications This paper, highlighting the relevance of relational capital and absorptive capacity in improving CP, enhances our knowledge about the factors that help to strengthen the relationships with customers, which is an under-investigated issue especially for SMEs competing in B2B industries, and extends our knowledge on open innovation practices. Practical implications Findings of this paper suggest that, to achieve better CP, managers should pay special attention to nurturing their marketing capability and high-quality relationships with external actors and invest in absorptive capacity to enhance the positive effect of such linkages. Originality/value This work, combining the external perspective of relational capital and the internal organizational dimension of absorptive capacity, provides valuable insights about the knowledge and resource mix that firms might rely on to achieve better customer satisfaction and loyalty.

scholarly journals Innovation outcomes of knowledge-seeking Chinese foreign direct investment

2015 ◽  
Vol 9 (1) ◽  
pp. 73-96 ◽  
Author(s):  
Xianming Wu ◽  
Nathaniel C. Lupton ◽  
Yuping Du
Keyword(s):  
Organizational Learning ◽  
Absorptive Capacity ◽  
Multinational Enterprises ◽  
Innovation Performance ◽  
Primary Data ◽  
Content Type ◽  
Chinese Multinationals ◽  
Positive Direct ◽  
Knowledge Seeking ◽  
The Impact

Purpose – The purpose of this paper is to investigates how organizational learning, absorptive capacity, cultural integration, specialization of the acquired firm and characteristics of transferred knowledge impact innovation performance subsequent to overseas acquisitions. Design/methodology/approach – Survey responses from 222 Chinese multinational enterprises engaged in overseas acquisitions. Findings – Differences between acquiring and acquired firms’ capabilities, while having a positive direct influence, suppress the positive impact of organizational learning and absorptive capacity, suggesting that multinationals require some basic level of capabilities to appropriate value from overseas acquisitions. Research limitations/implications – This paper investigates the impact of knowledge-seeking overseas acquisition of Chinese multinationals on innovation performance, as this appears to be the primary motive for making such acquisitions. Practical implications – Knowledge-seeking overseas acquisition should be based upon the absorptive capacity of the acquiring firm and complementarity between both firms. In knowledge-seeking overseas acquisitions, establishing an effective organizational learning mechanism is necessary for improving innovation performance. Originality/value – This paper reports on the behaviour and innovation performance of Chinese multinationals through analysis of primary data.

scholarly journals Innovation in the Hungarian food economy  

2017 ◽  
Vol 63 (No. 1) ◽  
pp. 43-51 ◽  
Author(s):  
Toth Jozsef ◽  
Ferto Imre
Keyword(s):  
Absorptive Capacity ◽  
Open Innovation ◽  
Innovation Process ◽  
Innovation Performance ◽  
Medium Size ◽  
Food Sector ◽  
Agricultural Producers ◽  
Food Economy ◽  
The Impact ◽  
The Empirical Analysis

The paper investigates the innovation process in the Hungarian agri-food sector using the concept of open innovation. The empirical analysis is based on the data from a 2011 survey of more than 200 small and medium size agricultural producers, food processors and retailers. There is determined the impact of open innovation and a company’s absorptive capacity on the innovation performance employing two stage approaches. First, a cluster analysis is applied to categorise companies based on their open innovation absorptive capacity, firm and managerial characteristics. Second, using semi-non parametric probit models, there is found that open innovation positively influences the innovation performance for the product and market innovation. Estimations indicate that the absorptive capacity has positive impacts on the technological- and organisational innovation and on innovation propensity. The results suggest that there exists a considerable heterogeneity both within and between the supply chain segments regarding to the innovation performance.  

scholarly journals Management Boards and Indonesia's Company Innovation Performance

2021 ◽  
Vol 9 (2) ◽  
pp. 119-130
Author(s):  
Desi Ilona ◽  
Zaitul Zaitul ◽  
Eugene Okyere Kwakye
Keyword(s):  
Performance Management ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Innovation Performance ◽  
Family Ownership ◽  
Company Size ◽  
Dependency Theory ◽  
Innovative Performance ◽  
Management Board ◽  
Chinese Ethnicity

This study aims to investigate the influence of the management board's characteristics on company innovation performance. Management board characteristics are female in the management board, education background, and Chinese ethnicity in the management board. Resources dependency theory is applied to understand the research phenomena. Using 109 companies listed in the Indonesian stock market, multivariate regression analysis was employed. This study also employed five control variables: family ownership, foreign ownership, company profitability, company leverage, and company size. The result shows that female in management board is negatively related to innovation performance. Besides, family ownership, company profitability, company leverage, and company size positively affect innovative performance.  

scholarly journals The Comparative Effects of Transaction Cost Economics and Resource Based View: A Technological Alliance Motivational Perspective

2016 ◽  
Vol 6 (5) ◽  
pp. 64 ◽  
Author(s):  
Hwan Jin Kim
Keyword(s):  
Transaction Cost ◽  
Transaction Cost Economics ◽  
Governance Structure ◽  
High Tech ◽  
Resource Based View ◽  
Alliance Partner ◽  
Positive Effects ◽  
Alliance Partners ◽  
The Impact ◽  
Alliance Governance

<p>This paper examines the impact of two main alliance motivation theories, transaction cost economics (TCE) and resource based view (RBV), on alliance processes among Korean manufacturing high-tech ventures. Results show that TCE and RBV are complimentarily explaining the formation of inter-firm alliances. TCE variables are more related with alliance partner characteristics while RBV is more linked with partner capabilities. Both show positive effects on performance. No significant effect is found on determining an alliance governance structure. While selecting appropriate technological alliance partners show positive effects on performance, no significant effect is found between alliance governance structure and performance. Factors of both theories impacting each alliance stage and analytical explanations of such impacts are discussed.</p>

scholarly journals The Impact of Basel III Capital Regulation on Credit Risk: A Hybrid Model

2020 ◽  
Vol 9 (2) ◽  
pp. 56-71
Author(s):  
NADIM ANASS ALFOUHAILI ◽  
Frédéric GAUTIER ◽  
Iyad ZAAROUR
Keyword(s):  
Regression Analysis ◽  
Credit Risk ◽  
Hybrid Model ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Capital Regulation ◽  
Basel Iii ◽  
Spearman Correlation ◽  
Spearman Correlation Test ◽  
The Impact

This research examined the impact of Basel III capital regulation (BCR) on credit risk (CR) using a sample of 25 commercial banks in Lebanon over the period 2012–2017. BCR is measured using the capital adequacy ratio (CAR) and the common equity tier one ratio (CET1 ratio), CR is measured using net provision for credit losses /total assets. To analyze the data, we constructed a hybrid model based on 3 statistical approaches. First, we modelled the dual impact of BCR and CR using probabilistic inference in the framework of Bayesian Belief Network formalism (BBN). Second, to highlight more about the correlation between BCR and CR, we used Spearman correlation test as a nonparametric approach. Third to study the simultaneous effect of CAR and CET1 ratio on CR we applied multivariate regression analysis. By analyzing the probabilistic inference for the first approach we concluded that there is an effect of BCR on CR especially for the high level of CET1 ratio, but when we investigated more if this effect is significant using the Spearman correlation test and the multivariate regression analysis, we concluded that there is no effect statistically significant of Basel III capital regulation (BCR) on credit risk (CR).

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