Search results

1 – 10 of 229
Article
Publication date: 16 July 2021

Feihu Zheng, Hao Jiao, Junyi Gu, Hwy-Chang Moon and Wenyan Yin

This study aims to examine how different modes of knowledge flows affect the changes of asset specificity and how ownership control moderates the relationship between…

Abstract

Purpose

This study aims to examine how different modes of knowledge flows affect the changes of asset specificity and how ownership control moderates the relationship between knowledge flows and asset specificity in the open innovation paradigm.

Design/methodology/approach

This paper selects information technology outsourcing as the research base. It uses the feasible weighted least squares modeling method for its analysis and has collected the data from 2,369 research and development contracts of multinational vendor firms in China.

Findings

The coupled and outbound knowledge flows have a direct and positive effect on asset specificity. Moreover, the results show that weak corporate control has significant moderating effects on the relationship between both coupled and outbound knowledge flows and asset specificity; the strong control positively moderates the relationship between outbound knowledge flows and asset specificity.

Practical implications

In open innovation, firms build a higher degree of asset specificity to maximize the efficiency of knowledge flows, which then helps them to enhance innovation capacity and market performance.

Originality/value

Preceding studies have tended to examine the influences of asset specificity as an independent variable in a closed innovation paradigm. Asset specificity is hence often left as the antecedent “black box.” This paper, however, opens the “black box” of asset specificity, which is set as a dependent variable, by investigating the influences of knowledge flows on the asset specificity in the context of open innovation. It also reinterprets the role of asset specificity by adopting the lens of open innovation theory.

Details

Journal of Knowledge Management, vol. 26 no. 3
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 6 August 2019

Hao Jiao, Jifeng Yang, Jianghua Zhou and Jizhen Li

The purpose of this study is to empirically investigate the extent to which two types of commercial partnerships (business partner and non-business partner) affect the…

1043

Abstract

Purpose

The purpose of this study is to empirically investigate the extent to which two types of commercial partnerships (business partner and non-business partner) affect the collaborative innovation of firms in emerging economies. Specifically, the roles of two commercial partnerships are investigated. Additionally, the study explores the moderating effect of external technological uncertainty and internal dynamic capabilities on the relationship between two commercial partnerships and on collaborative innovation.

Design/methodology/approach

Using a sample of 370 high-tech firms in China, the authors applied the partial least squares structural equation modeling approach to model these relationships.

Findings

The findings reveal opportunities and challenges for companies according to two intensities of commercial partnership for collaborative innovation. The partnership contribution to innovation and competiveness is different within the two routes and ranges. The findings indicate that (1) intense commercial relationships with business partners have a stronger positive significant impact on collaborative innovation than those with non-business partners and (2) non-business partners have a weaker positive impact on collaborative innovation at high external technological uncertainty. It was also found that (3) the positive impact of business partners on collaborative innovation is weakened when a firm has high dynamic capabilities, whereas the positive impact of non-business partners is strengthened.

Research limitations/implications

Insight into the roles of two commercial partnerships in achieving collaborative innovation facilitates the advancement of the theoretical understanding of the circumstances under which cooperative innovation can be more effective under different partnerships.

Originality/value

A key strategic question is whether comprehensiveness enables firms to make better strategic decisions in various environments. In the process of innovation, companies must choose different types and quantities of partners, and they must regulate their partners’ innovative behavior by establishing a corresponding network structure and relationship rules. The current study focuses on analysis of how different intensities of commercial partnerships affect collaborative innovation. This research provides a theoretical framework that creates a new classification of commercial relations with regard to collaborative innovation, and it highlights the difference between the two types of partnerships. This study finds that there are many problems in the selection of innovative partners in China’s high-tech companies. Therefore, companies should strengthen their understanding of cooperative innovation, and they should build and manage highly efficient innovation networks. This study helps companies, high-tech industry associations, academia and government to take enhanced, informed actions.

Details

Journal of Knowledge Management, vol. 23 no. 7
Type: Research Article
ISSN: 1367-3270

Keywords

Content available
Article
Publication date: 19 September 2019

Tachia Chin, Hao Jiao and I.M. Jawahar

1604

Abstract

Details

Career Development International, vol. 24 no. 5
Type: Research Article
ISSN: 1362-0436

Article
Publication date: 15 June 2022

Hao Jiao, Lindong Wang and Yang Shi

Based on institutional theory, this study aims to analyze the influencing mechanisms of the institutional environment in the digital context on technology entrepreneurship.

Abstract

Purpose

Based on institutional theory, this study aims to analyze the influencing mechanisms of the institutional environment in the digital context on technology entrepreneurship.

Design/methodology/approach

Using data from the Global Entrepreneurship Monitor, World Bank and World Economic Forum, this study builds a multilevel database covering 79 countries and 97,146 individuals from 2013 to 2017. A mixed-effects logistic regression model with the fixed part and random part was chosen to test the hypotheses in this study. The mixed-effects logistic regression model used in this study includes a random intercept with random effects at the country level, while the robustness test considers a more complex two-level model with a random intercept plus random slope.

Findings

The findings indicate that different dimensions of the institutional environment in the digital context have different effects on individual technology entrepreneurship. The analysis shows that exposure to digital networks and innovative culture positively influences technology entrepreneurship. However, intellectual property rights protection has a negative impact on technology entrepreneurship. Furthermore, the government digitalization has different effects on above relationships. When a government digitalization is higher, there will be a weaker positive relationship between exposure to digital networks and technology entrepreneurship. When a government digitalization is higher, there will be a stronger positive relationship between innovative culture and technology entrepreneurship. When a government digitalization is higher, there will be a weaker negative relationship between Intellectual property rights protection and technology entrepreneurship. Finally, the effect of innovative culture on technology entrepreneurship in the digital context is stronger for females than for males.

Originality/value

The aforementioned findings contribute to a better understanding of the theoretical logic underlying digital factors affecting the institutional environment and technology entrepreneurship and act as a reference for the country in terms of raising its scientific and technological levels and promoting economic structure transformation in the digital era.

Details

Journal of Organizational Change Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0953-4814

Keywords

Article
Publication date: 7 December 2021

Hao Jiao, Jifeng Yang and Yu Cui

When considering the influence of external social, technical and political environments on organizations’ open innovation behavior, especially in emerging markets…

Abstract

Purpose

When considering the influence of external social, technical and political environments on organizations’ open innovation behavior, especially in emerging markets, institutional theory is especially salient. This study aims to answer the question of how to integrate organizations’ external institutional pressures and internal knowledge structure to mitigate the challenges in the open innovation process.

Design/methodology/approach

This study uses a sample of 2,126 observations from the 2012 World Bank Enterprise Survey. A multivariate regression model is designed to explore the impact of external institutional pressure (i.e. coercive pressure, mimetic pressure and normative pressure) on open innovation, as well as the moderating effect of digital knowledge and experience-based knowledge.

Findings

The results show that institutional pressure has a positive role in promoting open innovation; digital knowledge weakens the positive relationship between institutional pressure and open innovation; experience-based knowledge strengthens the positive relationship between institutional pressure (especially coercive pressure) and open innovation.

Originality/value

This study combines institutional theory and knowledge management to enriches insights into open innovation in emerging markets. Beyond recognizing the inherent multidimensionality of the concept of institutional pressure, this study creates an integrated path for the legitimacy acquiring of enterprises through the knowledge structure design (i.e. digital knowledge and experience-based knowledge). It also deepens the institutional pressure to enable the implementation of digital knowledge to manage open innovation processes.

Details

Journal of Knowledge Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 24 December 2021

Hao Jiao, Jifeng Yang, Cheng Jiang and Jiawei Yu

This research helps firms pursue an open innovation strategy but want to minimize competitive pressure from other external entities. A theoretical framework is constructed…

Abstract

Purpose

This research helps firms pursue an open innovation strategy but want to minimize competitive pressure from other external entities. A theoretical framework is constructed to analyze the impact of openness on innovation performance, exploring different effect of firms' external search channels.

Design/methodology/approach

This paper employs a stepwise hierarchical regression approach to assess the effect of openness on technological innovation considering the role of information technology adoption and political ties. The effect is conducted using a large-scale sample of 1,073 Chinese manufacturing firms over the period 2011–2013 as empirical research objects.

Findings

There are two stages of the open technological innovation process while the information technology (IT) adoption and political ties are the key consideration in emerging markets. Openness is curvilinearly (taking an inverted U-shape) related to innovation performance. Both information technology adoption and political ties generally help firms to turn broadly sourced external knowledge into technological innovation performance. This will stimulate “one plus one is greater than two” effect not only in the process of achieving performance goals, but also in the process of technological innovation.

Originality/value

This quantitative research illustrates the importance relationship between firms' open behaviors and technological innovation performance in emerging markets. It helps us understand firms' current constrains of open strategy of technological innovation and helps domestic or foreign investors to make strategic collaboration choices in emerging economies according to the degree of openness, informatization level, political connections, which is equally important for research and practice.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 7 October 2019

Tachia Chin, Genyi Li, Hao Jiao, Frederick Addo and I.M. Jawahar

Given advances in digitalization and automation, manufacturing employees are facing the increasing threat of being substituted by smart machines and robots. The purpose of…

1195

Abstract

Purpose

Given advances in digitalization and automation, manufacturing employees are facing the increasing threat of being substituted by smart machines and robots. The purpose of this paper is to propose a framework that explains as well as can be used to study career sustainability of workers in the fast-paced, continuously changing manufacturing landscape.

Design/methodology/approach

After tracing the evolution of manufacturing sector in China, the authors review existing literature on career sustainability and then propose a new framework. The authors then describe two fictive cases and illustrate the applicability of the four-dimensional framework in helping understand the lived experience of objects in these fictive cases.

Findings

The proposed dynamic framework of career sustainability constituted by four intricately interconnected dimensions (i.e. resourceful, flexible, renewable and integrative) is useful in understanding the fictive cases and hopefully will guide future research on career sustainability in manufacturing or similarly fast-past, dynamically changing environments.

Practical implications

The framework of career sustainability facilitates manufacturing employees to accurately evaluate the sustainability of their careers, whereby they can choose to continue, shift or re-orient their career paths during the transitional period toward digitalized manufacturing; it also enlightens employers to think about how to enhance the job security and engagement of workers by helping prolong their careers and re-design their career plans.

Originality/value

This paper proposes a novel yet context-specific framework to understand and study sustainability of careers. In addition to helping us understand how careers evolve during transformational periods, it also offers fruitful avenues for further research.

Details

Career Development International, vol. 24 no. 6
Type: Research Article
ISSN: 1362-0436

Keywords

Article
Publication date: 4 April 2016

Jin Chen, Hao Jiao and Xiaoting Zhao

Based on the knowledge-based view (KBV), the purpose of this study is to explore the impact of scientific knowledge resources on innovative performance, as well as the…

1026

Abstract

Purpose

Based on the knowledge-based view (KBV), the purpose of this study is to explore the impact of scientific knowledge resources on innovative performance, as well as the mechanisms, in the science-based innovation practice of biotechnological industry. How scientific knowledge influences the firms’ innovative performance and how external scientific knowledge flows into the firms efficiently are important issues every high-tech firms must consider.

Design/methodology/approach

The authors chose biopharmaceutical firms in China as the sample of this study to empirically test the hypotheses.

Findings

The study introduces a framework combining scientific knowledge resources, technological capabilities and innovative performance and, then, follows with an empirical investigation on firms in Chinese biotechnological industry. Survey data from biopharmaceutical firms in China prove the significantly positive impact of both stocks and flows of scientific knowledge on firms’ innovative performance, as well as the significant mediation effect, of technological capability.

Practical implications

From the results of this study, the authors derive the important managerial implications that talent exchange, purchasing external knowledge directly and establishing R&D alliances are three effective ways leading external scientific knowledge to flow into the firms.

Originality/value

The study finds that technological capability plays an intermediary role between scientific knowledge resource and innovative performance; tacit scientific knowledge stock and R&D alliance influence innovative performance through technological capability totally among them.

Details

Chinese Management Studies, vol. 10 no. 1
Type: Research Article
ISSN: 1750-614X

Keywords

Article
Publication date: 25 July 2020

Yanli Fu, Ruiming Liu, Jifeng Yang, Hao Jiao and Yuke Jin

With the aim of shedding new light on the characteristics of human capital in its relationship with organizational innovation, this paper develops a novel theoretical and…

Abstract

Purpose

With the aim of shedding new light on the characteristics of human capital in its relationship with organizational innovation, this paper develops a novel theoretical and empirical exploration of the characteristics of human capital, both executives' experience and employees' average education level, as well as the moderating effect of female ownership, on two different aspects of organizational innovation.

Design/methodology/approach

Data were obtained from the World Bank's China private manufacturing enterprise questionnaire survey. The study employs regression analysis of a logistic model using 1,598 samples, because the dependent variable of an organization's innovation index is a binary variable.

Findings

Using World Bank survey data of Chinese private manufacturing enterprises, the authors find that executives' experience has a significantly positive effect on process innovation. Female ownership strengthens the relationship between executives' experience and process innovation. Moreover, the results indicate that employees' average educational level has a significantly positive effect on product innovation. Female ownership strengthens the relationships between employees' average educational level and organizational innovation including product innovation and process innovation. This study highlights the importance of simultaneously testing the effects of human capital and gender heterogeneity on organizational innovation activities.

Originality/value

This study explores the impact of human capital on organizational innovation activities in the context of the Chinese manufacturing industry. Moreover, organizational innovation activities are divided into two aspects: product innovation and process innovation. This study separately discusses the effect of human capital on these two kinds of innovation in detail. Finally, female ownership is selected as a moderating variable, and it is demonstrated that interactions of female owners with executives' experience and employees' average educational level have a positive impact on increasing different kinds of organizational innovation. The authors identify new boundary conditions for the domain of female research that are sorely lacking in the present literature.

Details

Journal of Intellectual Capital, vol. 22 no. 4
Type: Research Article
ISSN: 1469-1930

Keywords

Article
Publication date: 1 October 2019

Hao Jiao, Yupei Wang and Minjia Liu

The purpose of this study is to explore how the influence of the social network of the members of top management teams affects the firms’ innovation performance through…

Abstract

Purpose

The purpose of this study is to explore how the influence of the social network of the members of top management teams affects the firms’ innovation performance through organizational learning in cultural and creative industries in China.

Design/methodology/approach

Based on cultural and creative industries, this paper focuses on how the social network of members of top management teams affects innovation through organizational learning. Using upper Echelon theory and social capital theory, the paper puts forward the relationship between the top management team’s social network, organizational learning and innovation performance.

Findings

Drawing on the paradigm of organizational strategy duality (input-process-output), this paper constructs the conceptual model of “relational network – organizational learning − innovative performance” and attempts to reveal the relationship between the network, represented by the senior management network and organizational learning, and the mechanism behind their role in innovation performance. Finally, future research prospects are explored.

Research limitations/implications

Based on the analysis of the internal mechanism between the top management team network, organizational learning and innovation performance, the influence mechanism framework for the cultural and creative industries’ executive team social network on enterprise innovation is finally obtained, which provides theoretical guidance and a practical operation path for enterprise management innovation.

Originality/value

This research makes a theoretical contribution to the duality of organizational strategy and provides a practical operation path for enterprises to build a social network, and thereby promote innovation capabilities.

Details

Journal of Chinese Human Resource Management, vol. 10 no. 1/2
Type: Research Article
ISSN: 2040-8005

Keywords

1 – 10 of 229