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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.

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.

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.

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.

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.

Innovative behavior is a microfoundation of an organization’s innovation. Knowledge workers are the main creators of innovations. With the boundaries between work and family becoming increasingly ambiguous, the purpose of this study is to explore how the work–family conflict affects knowledge workers’ innovative behavior and when such a conflict arises.

To test the theoretical model, this study collected data from a time-lagged matched sample of 214 dual-career couples. The data were analyzed with the bias-corrected bootstrapping method.

The results of this study showed that work-to-family conflict had not only a direct negative effect on knowledge workers’ innovative behavior but also an indirect effect through spouses’ within-family emotional exhaustion and knowledge workers’ family-to-work conflict. If wives’ gender role perceptions are traditional, then the indirect serial mediating effect is weakened, but if such perceptions are egalitarian, then the mentioned effect is aggravated.

In terms of organizational implications, managers could alter their approach by reducing detrimental factors such as work–family conflict to improve knowledge workers’ innovative behavior. Emotional assistance programs for both knowledge workers and their spouses can be used to prevent the detrimental effect of work–family conflict on innovative behavior. As to social implications, placing dual-career couples into a community of likeminded individuals and promoting their agreement on gender role identity will greatly reduce the negative effects of work–family conflict.

Starting from the perspective of the behavior outcome of knowledge management, this study advances the existing knowledge management literature by enriching the antecedents of knowledge workers’ innovative behavior, illuminating a spillover–crossover–spillover effect of work–family conflict on knowledge workers’ innovative behavior and identifying the boundary condition of this transmission process.

This study aims to explore the mediating effect of digital options on the relationship between emerging information technology investments (ITIs) and firm performance (FP). In particular, it analyses the performance impacts of investments in five emerging technologies of IT or non-IT firms.

Secondary data are collected from Chinese A-share listed companies from 2010 to 2018. The authors propose an econometric model focusing on the impact of ITIs on a firm’s market value and profit. A propensity score matching model is applied to control endogeneity.

The ITIs’ effect on FP is found to be completely mediated by digital options, and the reach of digital options plays a more positive role in the relationship between ITIs and Tobin’s Q, whereas the richness of digital options is stronger between ITIs and return on net assets (ROE). The group study shows that the impact of process technologies such as cloud computing and the Internet of Things has a more profound impact on Tobin’s Q, and the knowledge technologies represented by artificial intelligence, blockchain and big data strongly affect ROE. In addition, the positive relationship between ITIs and FP is unrelated to IT/non-IT firms.

First, the data are based on 219 publicly announced emerging ITIs in China and thus may not be generalizable to other cultural/national contexts. Second, there is a lack of a large sample data set of emerging ITI information in China, and the duration of this study is constrained to the relatively short rise of emerging technologies.

This study provides firm decision-makers with practical implications. The results imply that the effect of ITIs on FP depends on digital options, so both IT firms (e.g., Big Tech giants) and non-IT firms (e.g., incumbents) should discover how to balance firm value and profit in their management of emerging technology investment projects with digital options thinking.

To the best of the authors’ knowledge, this is the first empirical study to investigate the relationship between ITIs and FP from the perspective of digital options, exploring five emerging technologies and considering firm life, size, and state ownership in a sample of Chinese listed firms.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.