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1 – 10 of over 3000Pattanaporn Chatjuthamard, Pornsit Jiraporn, Merve Kilic and Ali Uyar
Taking advantage of a unique measure of corporate culture obtained from advanced machine learning algorithms, this study aims to explore how corporate culture strength is…
Abstract
Purpose
Taking advantage of a unique measure of corporate culture obtained from advanced machine learning algorithms, this study aims to explore how corporate culture strength is influenced by board independence, which is one of the most crucial aspects of the board of directors. Because of their independence from the corporation, outside independent directors are more likely to be unbiased. As a result, board independence is commonly used as a proxy for board quality.
Design/methodology/approach
In addition to the standard regression analysis, the authors execute a variety of additional tests, i.e. propensity score matching, an instrumental variable analysis, Lewbel’s (2012) heteroscedastic identification and Oster’s (2019) testing for coefficient stability.
Findings
The results show that stronger board independence, measured by a higher proportion of independent directors, is significantly associated with corporate culture. In particular, a rise in board independence by one standard deviation results in an improvement in corporate culture by 32.8%.
Originality/value
Conducting empirical research on corporate culture is incredibly difficult due to the inherent difficulties in recognizing and assessing corporate culture, resulting in a lack of empirical research on corporate culture in the literature. The authors fill this important void in the literature. Exploiting a novel measure of corporate culture based on textual analysis, to the best of the authors’ knowledge, this study is the first to link corporate culture to corporate governance with a specific focus on board independence.
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Peiyuan Gao, Yongjian Li, Weihua Liu, Chaolun Yuan, Paul Tae Woo Lee and Shangsong Long
Considering rapid digitalization development, this study examines the impacts of digital technology innovation on social responsibility in platform enterprises.
Abstract
Purpose
Considering rapid digitalization development, this study examines the impacts of digital technology innovation on social responsibility in platform enterprises.
Design/methodology/approach
The study applies the event study method and cross-sectional regression analysis, taking 168 digital technology innovations for social responsibility issued by 88 listed platform enterprises from 2011 to 2022 to study the impact of digital technology innovations for social responsibility announcements of different announcement content and platform attributes on the stock market value of platform enterprises.
Findings
The results show that, first, the positive stock market reaction is produced on the same day as the digital technology innovation announcement. Second, the announcement of the platform’s public social responsibility and the announcement of co-innovation and radical innovation bring more positive stock market reactions. In addition, the announcements mentioned above issued by trading platforms bring more positive stock market reactions. Finally, the social responsibility attribution characteristics of the announcement did not have a significant differentiated impact on the stock market reaction.
Originality/value
Most scholars have studied digital technology innovation for social responsibility through modeling rather than second-hand data to empirically examine. This study uses second-hand data with the instrumental stakeholder theory to provide a new research perspective on platform social responsibility. In addition, in order to explore the different impacts of digital technology innovation on social responsibility, this study has classified digital technology innovation for social responsibility according to its social responsibility and digital technology innovation characteristics.
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In the context of innovation-driven development strategy, open innovation has become an important way for enterprises to gain competitive advantages on the path of innovation and…
Abstract
Purpose
In the context of innovation-driven development strategy, open innovation has become an important way for enterprises to gain competitive advantages on the path of innovation and development. However, with the increasing competition, enterprises' open innovation is restricted by some constraints. How to promote open innovation in the restricted situations has become an existing research gap. Based on the perspective of digital transformation, this paper discusses how to promote the open innovation of enterprises under the restricted situations and find its breakthrough path, and analyzes the moderating effect of innovation persistence and political relevance.
Design/methodology/approach
Due to the complexity and confidentiality of military–civilian integration enterprises, they have become typical innovation-restricted enterprises. In this study, it selects a-share listed companies in the field of military–civilian integration in China in 2016–2020 as the research sample, and uses the two-way fixed-effect model to analyze the proposed variables. Finally, the robustness of the results in this paper is verified by a series of robustness tests and endogeneity tests.
Findings
The results show that digital transformation facilitates open innovation in military–civil integration enterprises, and that innovation persistence and political relevance positively moderate the relationship between the two. Further, digital transformation can promote open innovation in military–civil integration enterprises by easing the financing constraints and reducing information asymmetry. Innovation persistence has a more pronounced positive moderating effect among civilian-to-military and SMEs, and digital transformation of firms in the South has a negative effect on open innovation, but innovation persistence and political relevance dampen this negative effect.
Originality/value
Previous studies on the restrictions of open innovation or its dark side are mostly case studies and qualitative research. In contrast, the superiority and novelty of this study is in the form of a typical innovation-restricted enterprises “civil-military integration enterprise” as the research sample, based on the perspective of digital transformation, through empirical analysis method to explore how to better implementation of open innovation in the restricted situations. The findings of the study can not only enrich the application of digital transformation and open innovation theory, but also provide practical guidance for military–civil integration innovation in restricted situations.
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Sanaa Mostafa Mohammed and Reda Ebrahim El-Ashram
The current paper is aimed to explore the relationship between virtuous leadership (VL) dimensions and the dimensions of innovation management (IM) among employees in…
Abstract
Purpose
The current paper is aimed to explore the relationship between virtuous leadership (VL) dimensions and the dimensions of innovation management (IM) among employees in pharmaceutical companies of the public business sector – Egypt.
Design/methodology/approach
The current paper relied on the descriptive and analytical method and the survey paper in dealing with the paper variables. Participants for this paper consisted of (312) employees who completed a questionnaire that assessed VL and IM.
Findings
The results revealed that there is a positive, statistically significant relationship between VL and IM, Specifically, there is a positive effect of courage, justice and prudence on strategic innovation, a positive effect of courage, humanity and asceticism on technical innovation, and there is a positive effect of prudence, humanity and courage on management innovation.
Practical implications
The paper concluded that VL acts as an important tool that facilitates IM and promotes high levels of innovation for employees.
Originality/value
The current paper contributed to understanding the conditions in which employees of pharmaceutical companies have VL and provided additional guidance for effective practices of quality IM in pharmaceutical companies of the public business sector. In this study, a model was built to analyze the mechanism underlying the relationship between virtuous leadership and innovation management in pharmaceutical companies.
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This paper attempts to study the relationship between the level of urban innovation and subjective well-being (SWB). The following questions are discussed: (1) Does improving the…
Abstract
Purpose
This paper attempts to study the relationship between the level of urban innovation and subjective well-being (SWB). The following questions are discussed: (1) Does improving the level of innovation in cities affect the SWB of residents? (2) If urban innovation levels affect residents' SWB, can improving urban innovation level improve residents' SWB? (2) If urban innovation level improves residents' SWB, what is the possible mechanism? (3) Is there any difference in the effect of urban innovation level on the SWB of different groups?
Design/methodology/approach
This paper chooses the ordinary least squares (OLS) regression method for baseline regression with robust standard errors, and the regression results of Oprobit will be presented in detail in the robustness test section. The model is constructed by matching the micro data and the macro data. Meanwhile, the instrumental variable (IV) method is also used to deal with the possible endogeneity problem.
Findings
This paper finds that urban innovation has significantly improved the SWB of residents. This finding still holds after considering the endogeneity issue and conducting a series of robustness tests. Moreover, the level of innovation positively influences residents' SWB mainly through the paths of increasing income levels, improving environmental quality and promoting convenience in life. What's more, urban innovation has a more significant effect on the SWB of low-income groups and those with low education levels. Finally, based on the findings, this paper also proposes some policy recommendations to further improve the SWB of residents.
Research limitations/implications
Given the limitations of the data, the above study deals with China. In the future, international data can be further used to further explore the impact of the innovation level of international cities on the SWB of residents and then the research conclusions can be applied to the international community to provide theoretical basis and empirical support for policy makers of various countries, which will help improve the SWB of residents of various countries and enrich the theoretical and empirical research on the impact of innovation on the SWB of residents.
Social implications
Well-being is a goal constantly pursued by human beings. This paper shows that urban innovation has significantly improved the SWB of residents. The findings provide guides to improve the SWB of residents and provide a certain theoretical basis and empirical reference for policy makers.
Originality/value
The possible innovations or contributions of this paper include: (1) based on the China Household Income Survey (CHIP) and the “Report on Innovation of Chinese Cities and Industries”, this paper studies the impact of urban innovation levels on residents' SWB, supplementing the gaps in existing literature; (2) through group analysis, the heterogeneity of the impact of urban innovation level on groups with different incomes and education levels was discussed and (3) the mechanism of urban innovation level on residents' SWB was identified. These studies and discussions provide a basis for more effective improvement of residents' SWB and provide a valuable reference for promoting people's pursuit of a better life.
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Xiaotong Huang, Wentao Zhan, Chaowei Li, Tao Ma and Tao Hong
Green innovation in supply chains is crucial for socioeconomic development and stability. Factors that influence collaborative green innovation in the supply chain are complex and…
Abstract
Purpose
Green innovation in supply chains is crucial for socioeconomic development and stability. Factors that influence collaborative green innovation in the supply chain are complex and diverse. Exploring the main influencing factors and their mechanisms is essential for promoting collaborative green innovation in supply chains. Therefore, this study analyzes how upstream and downstream enterprises in the supply chain collaborate to develop green technological innovations, thereby providing a theoretical basis for improving the overall efficiency of the supply chain and advancing green innovation technology.
Design/methodology/approach
Based on evolutionary game theory, this study divides operational scenarios into pure market and government-regulated operations, thereby constructing collaborative green innovation relationships in different scenarios. Through evolutionary analysis of various entities in different operational scenarios, combined with numerical simulation analysis, we compared the evolutionary stability of collaborative green innovation behavior in supply chains with and without government regulation.
Findings
Under pure market mechanisms, the higher the green innovation capability, the stronger the willingness of various entities to collaborate in green innovation. However, under government regulation, a decrease in green innovation capability increases the willingness to collaborate with various entities. Environmental tax rates and green subsidy levels promote collaborative innovation in the short term but inhibit collaborative innovation in the long term, indicating that policy orientation has a short-term impact. Additionally, the greater the penalty for collaborative innovation breaches, the stronger the intention to engage in collaborative green innovation in the supply chain.
Originality/value
We introduce the factors influencing green innovation capability and social benefits in the study of the innovation behavior of upstream and downstream enterprises, expanding the research field of collaborative innovation in the supply chain. By comparing the collaborative innovation behavior of various entities in the supply chain under a pure market scenario and government regulations, this study provides a new perspective for analyzing the impact of corresponding government policies on the green innovation capability of upstream and downstream enterprises, enriching theoretical research on green innovation in the supply chain to some extent.
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Mushahid Hussain Baig, Jin Xu, Faisal Shahzad and Rizwan Ali
This study aims to investigate the association of FinTech innovation (FinTechINN) and firm performance (FP) by considering the role of knowledge assets (KA) as a causal mechanism…
Abstract
Purpose
This study aims to investigate the association of FinTech innovation (FinTechINN) and firm performance (FP) by considering the role of knowledge assets (KA) as a causal mechanism underlying the FinTechINN – FP association.
Design/methodology/approach
In this study, the authors consider panel data of 1,049 Chinese A-listed firm and construct a structural model for corporate FinTech innovation, knowledge assets and firm performance while considering endogeneity issues in analyses over the period of 2014–2022. The modified value added intellectual capital (VAIC) and research and development (R&D) expenses are used as a proxy measure for knowledge assets, considering governance and corporate performance measures.
Findings
According to the findings of this study FinTech innovation (FinTechINN) has a positive significant effect on firm performance. Particularly; the findings disclose that FinTech innovations has a link with knowledge assets, FinTech innovations indirectly affects firm performance, and the association between FinTech innovation and firm performance is partially mediated by knowledge assets (MVAIC and R&D expenses).
Originality/value
Rooted in the dynamic capability and resource-based view, this study pioneers an empirical exploration of the association of FinTech innovation with firm performance. Moreover, it introduces the novel dimension of knowledge assets (on firm-level), acting as a mediating factor with in this relationship.
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Muhammad Bilal Khan, Ernest Ezeani, Hummera Saleem and Muhammad Usman
This study examines whether a firm’s management earnings forecasts affect its technical innovation activities. Our study also examines whether the cost of debt plays a mediating…
Abstract
Purpose
This study examines whether a firm’s management earnings forecasts affect its technical innovation activities. Our study also examines whether the cost of debt plays a mediating role between the management earnings forecasts and the innovation nexus.
Design/methodology/approach
We obtained data from 1,032 Chinese non-financial firms listed on the Shanghai and Shenzhen stock markets from 2005 to 2022 (i.e. 18,576 firm-year observations). We used various econometrics techniques, such as Heckman’s (1979) two-stage selection method and two-stage least square, to examine the relationship between management earnings forecasts and the firm’s technical innovation activities.
Findings
We find a positive relationship between management earnings forecasts and the firms' technical innovation. We also find that the cost of debt mediates the relationship between management earnings forecast and technical innovation. Further analysis indicates that frequent earnings forecasts provide incremental information regarding a firm’s future value and cash flows, thus reducing the volatility and uncertainty in cash flow calculations. Our findings are robust to several tests.
Originality/value
Our study has implications for policymakers, practitioners and high-level management of Chinese firms, enabling them to understand the relationship between management earnings forecasts and firms' innovation activities.
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Yawen Shan, Da Shi and Shi Xu
Based on imprinting theory and episodic future thinking, this paper aims to study how CEOs’ attributes and experiences inform innovation in tourism and hospitality businesses. It…
Abstract
Purpose
Based on imprinting theory and episodic future thinking, this paper aims to study how CEOs’ attributes and experiences inform innovation in tourism and hospitality businesses. It also explores ways to quantify innovation in this sector.
Design/methodology/approach
The authors quantitatively analysed innovation in tourism and hospitality using extensive data from companies’ annual reports. They further adopted multivariate regression to test how CEOs’ experience affects enterprise innovation.
Findings
Results demonstrate that CEOs’ academic education and rich work experience can promote corporate innovation. The authors also identified a mediating role of the tone of narrative disclosure in annual reports between CEOs’ academic education and corporate innovation. The imprinting effects of career experience and educational experience appear both independent and interactive.
Research limitations/implications
CEOs are more inclined to engage in corporate innovation when influenced by the combined imprinting effects of strategic management training and work experience. Additionally, leaders should consider how communication styles indirectly influence innovation activities.
Originality/value
This paper introduces an integrated perspective that blends imprinting theory and episodic future thinking to bridge knowledge gaps regarding the interaction of CEOs’ past experiences. This work enhances understanding of how CEOs’ imprinted experiences, together with their capacity for envisioning future scenarios, can drive corporate innovation.
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Jingtao Liu, Lianju Ning and Qifang Gao
In the digital economy era, digital platforms are vital infrastructure for innovation subjects to perform digital innovation activities. Achieving efficient and smooth knowledge…
Abstract
Purpose
In the digital economy era, digital platforms are vital infrastructure for innovation subjects to perform digital innovation activities. Achieving efficient and smooth knowledge transfer between innovation subjects through digital platforms has become a novel research subject. This study aims to examine the knowledge transfer mechanism of digital platforms in the digital innovation ecosystem through modeling and simulation to offer a theoretical basis for digital innovation subjects to acquire digital value through knowledge-sharing and thus augment their competitive advantage.
Design/methodology/approach
This study explores the optimal symbiotic interaction rate between different users based on the classic susceptible-infected-removed (SIR) model. Additionally, it constructs a knowledge transfer mechanism model for digital platforms in the digital innovation ecosystem by combining the theories of communication dynamics and symbiosis. Finally, Matrix Laboratory (MATLAB) software is used for the model and numerical simulation.
Findings
The results demonstrate that (1) the evolutionary path of the symbiotic model is key to digital platforms' knowledge transfer in the digital innovation ecosystem. In the symbiotic model, the knowledge transfer path of digital platforms is “independent symbiosis—biased symbiosis (user benefit)—reciprocal symbiosis,” aligning with the overall interests of the digital innovation ecosystem. (2) Digital platforms' knowledge transfer effects within the digital innovation ecosystem show significant differences. The most effective knowledge transfer model for digital platforms is reciprocal symbiosis, whereas the least effective is parochial symbiosis (platform benefit). (3) The symbiotic rate has a significant positive impact on the evolutionary dynamics of knowledge transfer on digital platforms, especially in the reciprocal symbiosis model.
Originality/value
This study's results aid digital innovators in achieving efficient knowledge transfer through digital platforms and identify how symbiotic relationships affect the knowledge transfer process across the ecosystem. Accordingly, the authors propose targeted recommendations to promote the efficiency of knowledge transfer on digital platforms.
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