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More enterprises adopt open innovation by breaking technological or organizational boundaries to seek internal and external knowledge when they face a fiercely competitive environment, complex market demands, and increasingly rapid technological change. In this context, a knowledge search strategy is regarded as an effective means of obtaining inside and outside resources and an important way to break the innovation bottleneck. Moreover, information technology (IT) is deemed an important asset for sourcing knowledge, whereas absorptive capacity is seen as an indispensable ability for utilizing novel knowledge. Thus, this paper aims to test the role of knowledge search in open innovation and examine the mediating effect of absorptive capacity and the moderating effect of IT capability.

Using a sample of 1,088 Chinese firms’ data collected by the World Bank in 2012, this paper employs logistic regression to test the hypotheses.

This study finds that local and boundary-spanning search strategies positively influence both product and process innovation, and absorptive capacity has a mediating role in the relationships between knowledge search and product and process innovation. Moreover, IT capability has a positive moderating effect on the relationship between local search and innovation performance; however, IT capability strengthens the relationship between boundary-spanning search and process innovation while weakens that between boundary-spanning search and product innovation.

This study explores the impact of different knowledge search behaviors on different types of innovation and probes the role of absorptive capacity and IT capability in mediating and moderating the above relationships. By drawing on knowledge-based theory and cognitive-developmental theory, this paper provides a novel perspective to explain the mechanism between knowledge search and innovation performance.

This study aims to explore the impact of organizational search (local and boundary-spanning search) on business model innovation (efficiency-centered/novelty-centered business model innovation) and the moderating role of knowledge inertia between them.

The relationships are examined through data provided by a sample of Chinese firms and by multiple hierarchical regressions.

Local search has a stronger effect on efficiency-centered business model innovation, whereas boundary-spanning search plays a stronger role in novelty-centered business model innovation. Knowledge inertia strengthens the effect of local search on efficiency-centered business model innovation but weakens the effect of boundary-spanning search on efficiency-centered business model innovation and the effect of local search on novelty-centered business model innovation.

The findings enable firms’ managers to understand the subtle ways in which organizational search interacts with knowledge inertia to affect business model innovation and may help them to make knowledge management efforts to harvest the full value of organizational search.

Previous studies have not examined the effect of different organizational search on different business model innovation from knowledge management perspective. With knowledge inertia as the moderator, the results reveal the contingent impact mechanism of organizational search on business model innovation, the findings provide fresh evidence that can bridge the gap between knowledge management and business model innovation.

The purpose of this paper is to investigate how boundary-spanning search affects sustainable competitive advantage under the conditions that competitors also search and to test the moderating role of knowledge integration capability.

This paper classifies boundary-spanning search into proactive search and responsive search by considering competition and develops a theoretical model in which knowledge integration capability moderates the effects of proactive and responsive searches on sustainable competitive advantage. Empirical analyses were conducted on the data of 245 Chinese advanced manufacturing firms.

The results show that proactive and responsive searches have inverted U-shaped relationships with sustainable competitive advantage. Moreover, the relationships between proactive and responsive searches and sustainable competitive advantage are moderated by knowledge integration capability. Specifically, as knowledge integration capability increases, the inverted U-shaped relationship between proactive search and sustainable competitive advantage becomes flatter, whereas the inverted U-shaped relationship between responsive search and sustainable competitive advantage becomes almost linear.

This paper enriches the research of boundary-spanning search by considering competition and uncovers how boundary-spanning search affects sustainable competitive advantage under the conditions that competitors also search. Furthermore, this paper sheds light on that the effects of proactive and responsive searches on sustainable competitive advantage are even more complex than inverted U-shaped patterns and provides a contingent viewpoint to deeply understand the relationship between boundary-spanning search and sustainable competitive advantage.

Business model innovation (BMI) is an important channel of enterprise innovation, and BMI's antecedents have attracted extensive attention. The purpose of this paper is to address a substantial gap in the extant literature by developing a moderate model to explain the effects of boundary-spanning search on BMI as well as whether and how innovative cognitive imprinting (ICI) and environmental dynamics (ED) affect the above relationship.

A total of 239 usable questionnaires from different enterprises in China were collected to obtain firm-level data. Then multiple regression analyses were used by SPSS software to test hypotheses.

Boundary-spanning search extensity (BSE) and focus have inverted U-shaped impacts on BMI; ICI moderates the relationship between boundary-spanning search and BMI and steepens the curves; ED weakens the moderating role of ICI.

By identifying two antecedents of BMI, this paper contributes to the literature on the antecedents of BMI. Meanwhile, the joint moderating effect of ICI and ED is introduced into the emergent analysis framework of the relationship between boundary-spanning search and BMI and examined through empirical analysis for the first time.

The purpose of this paper is to investigate three issues: how does an innovative search (local search and boundary-spanning search) impact firm innovation performance of latecomers; how does capability reconfiguration (capability evolution and capability substitution) mediates the relationship between innovative search and firm innovation performance; and how does the technological leapfrogging process (initial stage, following stage, synchronization stage and leading stage) moderate the relationship between capability reconfiguration and firm innovation performance.

A “resource-capability-performance” theoretical framework was developed to explore the relationships between local/boundary-spanning search, capability reconfiguration and firm innovation performance. The data were collected by sending out surveys to managers and employees in various industries in mainland China. These hypotheses were tested using structural equation models and hierarchical regressions.

The results showed that: innovative search has a direct causal relationship to capability reconfiguration; local search and boundary-spanning search are conducive to improve the innovation performance of latecomers; the impact of local search and boundary-spanning search on innovation performance is realized through the completion of mediating role of capability reconfiguration; there are differences in the path of local search and boundary-spanning search affecting the capability reconfiguration of enterprise innovation performance; and the relationship between innovative search, capability reconfiguration and enterprise innovation performance evolves with the enterprise in different stages of technological leapfrogging.

This study explores the relationship and the path of innovative search to firm innovation performance and analyzes the path difference between local search and boundary-spinning search, which enriches the research of organizational search and enterprise innovation. This paper reveals the whole path of innovative search affecting innovation performance, discusses the important role of capability reconfiguration and makes incremental contributions to dynamic capability theory. It studies the evolution of innovative search on innovation performance under the background of technological leapfrogging, which provides a new perspective for the study of organizational search and capability-based theory.

This study aims to explore the relationship between geographic search and business model innovation and proposed a contingent framework to focus on how governmental networking and environment turbulence are interdependent moderate the relationship between geographic search and business model innovation.

A large-scale questionnaire survey was carried out among the firms in three high-tech parks of the Pearl River Delta, with a total of 287 firms as empirical samples. Hypotheses are tested using ordinary least squares analyzes on hierarchical multiple regression to find out how geographic search can drive business model innovation generations.

The empirical results showed that the more frequent geographic search is, the more favorable it is for firms to generate innovative business models, and firms may be more effective in geographic searching and business model innovation with better governmental networking. However, the above relationship may be weakened if the environment turbulence in emerging markets is further considered. It was argued that firms must take into account both the positive effects of governmental networking and the negative effects of environmental turbulence in conducting a geographic search for external knowledge resources to generate innovative business models. The study results showed how and why governmental networking can be a key catalyst for firms to generate innovative business models.

This study contributes to the business model innovation literature by documenting the large-scale survey evidence that confirms the practicality of geographic search in the business model innovation generations. The findings advance previous studies in the business model innovation by identifying the moderating roles of governmental network and environment turbulence that predict business model innovation behaviors in the emerging market.

The results indicate that the geographic search can be easily operationalized for external resources acquisitions by managers in generating business model innovation. This has applications for external resource acquisitions on the basis of business model innovation in the emerging China market. In addition, to facilitate the business model innovation generations, the focus should be on critical contingency factors; on the one hand, to promote the continued use of external resources, the focus should be on enhancing benefits such as governmental networking.

The findings extend existing theory in three ways as the original value. First, the results show that geographic search is an important driver of business model innovation generations in an emerging market context. Second, this study is the first to take organizational learning and open innovation perspective to examine geographic search as a boundary-spanning search of external resources in business model innovation generations. Third, this study also explores the moderator role of governmental network and environmental turbulence on how to strengthen or impair the geographic search and business model innovation generations.

While the growth of emerging technologies like Blockchain has created significant market opportunities and economic incentives for firms, it is valuable for both researchers and practitioners to understand their creation mechanisms. This paper aims to discuss the aforementioned objective.

Based on the knowledge search perspective, this study examines the impact of search boundary on innovation novelty and quality. Additionally, innovation targets, namely R&D innovation and application innovation, are proposed as the moderator of the knowledge search effect. Using a combination of machine learning algorithms such as natural language processing and classification models, the authors propose new methods to measure the identified concepts.

The empirical results of 3,614 Blockchain patents indicate that search boundary enhances both innovation novelty and innovation quality. For R&D innovation, the positive impact of search boundary on innovation quality is enhanced, whereas for application innovation, the positive effect of search boundary on innovation novelty is improved.

This study mainly contributes to the growing literature on emerging technologies by describing their creation mechanisms. Specifically, the exploration of R&D and application taxonomy enriches researchers' understanding of knowledge search in the context of Blockchain invention.

The purpose of this paper is to investigate the individual effects of boundary-spanning search from suppliers (supplier-side search (SS)). It is proposed that SS contributes to innovation ambidexterity (IA) and then business performance (BP). Further, this paper includes buyer–supplier relationships (BSRs) and competitive intensity (CI) as moderators to clarify boundary conditions.

An ordinary least squares regression was employed to test hypotheses, based on 184 sets of data from Hong Kong manufacturing firms. The SPSS version of PROCESS was utilized.

The results show that IA partially mediates the relationship between SS and BP. Contingently, the direct effect is negatively moderated by BSRs and CI.

This paper confirms the partial mediating effect of IA on the relationship between SS and BP. Additional mediators, such as organizational innovation and marketing innovation, can be examined in the future.

This paper contributes to practice by suggesting that suppliers are a rewarding single source for firms to undertake boundary-spanning search. IA plays a significant role in reinforcing the effects of SS on BP and should be implemented with sustaining efforts. BSRs and CI can be detrimental and should be responded to cautiously.

This paper highlights the individual effects of SS on BP. Furthermore, the underlying process and boundary conditions are analyzed. The exploitation-exploration framework is applied throughout the entire study.

The purpose of this paper is to explore how boundary-spanning demand-side search (BSDSS) fuels radical technological innovations as well as how innovation appropriability moderates this relationship. In particular, based on Teece’s (1986) argument regarding the appropriability of innovation, the authors divide factors to influence innovation appropriability into two types: external institution related and internal capability related.

This study employs a survey methodology. Specifically, the authors collected a sample composed of 150 high-tech manufacturing Chinese firms.

Results show that BSDSS has a positive effect on radical technological innovations. Further, the authors find that dysfunctional competition and political ties negatively moderate the main effect, whereas firms’ legal and IPRs protection capabilities positively moderate the main effect.

One major limitation is that the findings are based on data derived from Chinese firms, which may limit the generalization of the findings.

The findings suggest that firms competing Chinese market, both Chinese and foreign firms, should actively leverage BSDSS to boost radical technological innovations. Chinese firms should pay attention to the negative roles of appropriability hazards originating from external institutional environment. Foreign firms in Chinese market should be cautious on potential dysfunctional competition from local competitors, such as imitation and intelligence property violation, and enhance appropriability through building internal capabilities, such as legal and IPRs capabilities.

The study highlights the crucial roles of BSDSS in radical technological innovations, as well as the moderating roles of innovation appropriability. These results provide new insights into the drivers of radical technological innovations.

A firm's geographic boundaries represent an important demarcation line when searching for new knowledge. Prior research on geographic search has generated conflicting results concerning its influence on firm innovation outcomes. The purpose of this study is to fill the gap by examining how and under which conditions geographic search affects firm radical innovation performance.

This study hypothesizes a positive association between a firm's geographic search and radical innovation performance, which is mediated by potential absorptive capacity (PAC). It further proposes that the influence of geographic search on PAC will be moderated by a firm's collaborative network. Drawing on a random sample of 286 Chinese manufacturing firms, the theoretical model is tested.

The study's results show a positive relationship between geographic search and radical innovation performance, which is partially mediated by PAC. Moreover, attributes of collaborative networks (i.e. diverse location of and strong relational ties with partners) are observed to enhance the positive effect of geographic search on PAC.

This paper advances the understanding of how and when firms can better capture the benefits of geographic search in the development of radical innovation.