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Article
Publication date: 13 June 2019

Li Wang and Qingpu Zhang

Internet-based intangible network good (IING) has undergone rapid developments, even revolutionized multiple industries in recent years. IING is highly dependent on the…

Abstract

Purpose

Internet-based intangible network good (IING) has undergone rapid developments, even revolutionized multiple industries in recent years. IING is highly dependent on the rapid diffusion rates for development success. For firms, how to select the initial targets or “seeding points” to accelerate the adoption process is critical in network marketing campaigns. The purpose of this study is to provide a new method to identify the optimal initial adopters and adoption paths.

Design/methodology/approach

First, the author generalize three aspects influencing IING’s adoption, namely, innovation attributes, customer’s personality and word-of-mouth. Next, we establish a modified gravity model to describe how social interactions affect consumer’s adoption behavior. Then, simulate the adoption process by setting each agent as the initial adopter to identify the optimal initial adopters. Finally, trace the information flow to forecast the adoption paths.

Findings

The model reveals how individual interactions (micro level) aggregate into the diffusion process (macro level). The optimal initial adopters are determined by a combination of factors as follows: IING’s attributes, the adopter’s diffusion ability, the potential-adopter’s personality and the trust degree between adopters and potential-adopters. Among all these factors, trust degree plays a most important role.

Originality/value

This study proposes the conceptual model of IING’s adoption from a perspective of dyadic influence, in which an adopter’s influence on its peers depends on pairwise characteristics of both parties. The authors propose a new method to identify the optimal initial adopters and adoption paths based on the gravity model. It is the first time to introduce the gravity model to describe IING’s adoption, which is a creative application of social physics. The findings provide new insights in IING’s adoption and identifying the key nodes in networks.

Details

Kybernetes, vol. 49 no. 3
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 23 November 2021

Chenxiao Wang, Feng Guo and Qingpu Zhang

Based on the literature on disruptive innovation, this research explores how disruptive innovation directly and indirectly (via innovation speed and innovation quality…

Abstract

Purpose

Based on the literature on disruptive innovation, this research explores how disruptive innovation directly and indirectly (via innovation speed and innovation quality) influences firm performance in relation to the contingency of market-supporting institutions.

Design/methodology/approach

A sample of 207 firms was gathered through questionnaires targeting senior managers and R&D managers from high-tech firms in China with two waves including explanatory variables and outcome variables.

Findings

This empirical results indicate that disruptive innovation positively affects firm performance, and that innovation speed and innovation quality mediate the relationship between disruptive innovation and firm performance. Meanwhile, market-supporting institutions positively moderate the relationship between innovation speed and firm performance, but negatively moderate the relationship between innovation quality and firm performance.

Research limitations/implications

This study suggests that disruptive innovation is important to firm performance, innovation speed and innovation quality play mediating roles, and market-supporting institutions acts as moderating effects. A research limitation is that the data were collected mainly through a questionnaire.

Practical implications

Firms should incorporate disruptive innovation as an important strategy and improve innovation speed and innovation quality to promote firm performance, and policymakers should improve the levels of market-supporting institutions to facilitate innovation and performance.

Originality/value

This study contributes the literature of disruptive innovation by uncovering the positive effect of disruptive innovation and firm performance and the mediating effects of innovation speed and innovation quality on the abovementioned relationship, and revealing their contingency effects of market-supporting institutions.

Details

European Journal of Innovation Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1460-1060

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Article
Publication date: 25 January 2019

Xiaoxiao Shi, Qingpu Zhang and Zuolong Zheng

The purpose of this paper is to analyze the inverted U-shaped relationship between external search in the collaboration network and firm innovation outcomes. It also seeks…

Abstract

Purpose

The purpose of this paper is to analyze the inverted U-shaped relationship between external search in the collaboration network and firm innovation outcomes. It also seeks to explore whether these curvilinear relationships are moderated by the network centrality and structural holes in the knowledge network.

Design/methodology/approach

In this empirical research, the authors collected a sample of patents in the smartphone industry over the period of 2000-2017. Then the authors examined the direct roles of external search breadth and depth in the collaboration network and the moderating role of network embeddedness in the knowledge network by using negative binomial regression.

Findings

Results found that external search in the collaboration network contributes more to firm innovation outcomes when the breadth and depth of the external search are moderate rather than high or low. Furthermore, both network centrality and structural holes in the knowledge network have positive effects on the external search breadth – innovation outcomes and external search depth – innovation outcomes relationships.

Research limitations/implications

The authors collected the patent data within the single industry and excluded other types of industries. This may limit the generalization of the findings.

Practical implications

The paper has practical implications for adopting appropriate search strategies in the collaboration network and developing a better understanding of the effect of network embeddedness in the knowledge network on firm innovation outcomes. The findings suggest future directions for technology-intensive industries to improve their innovation output.

Originality/value

This study adds value to open innovation literature by pointing out a curvilinear relationship (inverted U-shaped) between external search breadth/depth and innovation outcomes in collaboration networks, in contrast to studies focused on firms’ external collaboration strategies in a certain industry context. Furthermore, this study reinforces the key contingent role of embeddedness in knowledge networks. This study provides a valuable theoretical framework of innovation outcome determinants by connecting the network perspective of open innovation theory with an embeddedness view.

Details

Journal of Knowledge Management, vol. 23 no. 10
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 11 May 2020

Xiaoxiao Shi, Lu Lu, Wei Zhang and Qingpu Zhang

Building on theories of inter-organizational knowledge flows and social network, we explored how two types of collaboration network embeddedness (NE) (i.e. structural…

Abstract

Purpose

Building on theories of inter-organizational knowledge flows and social network, we explored how two types of collaboration network embeddedness (NE) (i.e. structural embeddedness (SE) and relational embeddedness (RE)) drive firms' inbound and outbound open innovation (OI) practices from a knowledge flow perspective, and further examined these relationships are to what extent contingent on network inertia (NI).

Design/methodology/approach

In this empirical research, the authors collected a sample of patents in the unmanned aerial vehicle (UAV) industry over the period of 2000–2018. Then the authors examined the direct roles of SE and RE in collaboration networks on firms' inbound and outbound OI practices from a knowledge flow perspective, and the moderating role of NI by using negative binomial regression.

Findings

Empirical results from our study of 96 firms showed that both bridging structural holes position in collaboration networks (i.e. SE) and having stronger tie strength (i.e. RE) would positively affects firms' inbound OI practices, whereas only having stronger tie strength in collaboration networks (i.e. RE) would facilitate outbound OI practices. In addition, NI strengthens the relationships between SE and firm OI practice, but weakens the positive roles of RE on firm OI practice.

Originality/value

This empirical research provides new insights into whether and how firms can grasp the benefits of collaboration NE to conduct OI activities by exploring NI contingencies. It further sheds lights on the scope of the NE–OI issue from a knowledge flow perspective by extending its research context to UAV industry.

Details

European Journal of Innovation Management, vol. 24 no. 3
Type: Research Article
ISSN: 1460-1060

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Article
Publication date: 4 April 2020

Xiaoxiao Shi, Lu Lu, Wei Zhang and Qingpu Zhang

This paper aims to propose the following questions: How do structural network embeddedness influence firms’ incremental innovation capability? Does technology cluster…

Abstract

Purpose

This paper aims to propose the following questions: How do structural network embeddedness influence firms’ incremental innovation capability? Does technology cluster moderate the relationships between them?

Design/methodology/approach

In this empirical research, the authors collected a sample of patent data in the smartphone industry over the period of 2000-2018. Then, the authors examined the direct roles of structural network embeddedness on firms’ incremental innovation capability and the moderating role of technology cluster by using ordinary linear squares regression.

Findings

The empirical results show that occupying the central position positively affects firms’ incremental innovation capability, and clustering strengthens this linear relationship. Furthermore, bridging structural holes has an inverted U-shaped effect on incremental innovation capability, and clustering positively moderated this nonlinear relationship, while bridging ties across different clusters plays a negative moderation role in this relationship.

Originality/value

This empirical research provides new insights into whether and how firms can grasp the benefits of structural network embeddedness to conduct incremental innovations and the moderation effects of technology cluster contingencies. It further contributes to the structural network embeddedness–incremental innovation capability issue by extending its research context to the smartphone industry.

Details

Journal of Business & Industrial Marketing, vol. 36 no. 11
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 6 February 2018

Li Wang and Qingpu Zhang

Internet-based intangible network good (IING) has revolutionized multiple industries in recent years. This paper aims to reveal the laws of consumer’s decision-making on…

Abstract

Purpose

Internet-based intangible network good (IING) has revolutionized multiple industries in recent years. This paper aims to reveal the laws of consumer’s decision-making on IING from a perspective of kinetic energy and potential energy.

Design/methodology/approach

In this paper, 4 aspects and 17 factors influencing IING adoption were generalized. Based on the theory of social physics, an agent-based simulation model, introducing physical energy theory to depict consumer’s decision-making, was built. An agent’s kinetic energy reflects the agent’s perceived effect of mass media on the agent’s decision-making on IING adoption. An agent’s potential energy reflects the agent’s perceived effect of social interactions on the agent’s decision-making on the adoption of IING. An agent’s final energy is the sum of the kinetic energy and potential energy, which reflects the agent’s final decision.

Findings

Some factors mainly influence the diffusion velocity, while other factors have a dramatic impact on both diffusion velocity and diffusion scale. The agent’s personality can make a difference at the early and middle stages of IING adoption, but a faint impact at the later stage because of the effects of network externalities and word of mouth. There is a critical value of the number of initial adopters which can dramatically speed up IING adoption.

Practical implications

This study provides new insights for firms on the effects of factors influencing consumers’ decision-making on IING adoption.

Originality/value

This paper defines a new kind of innovation, IING, and generalizes IING’s special characteristics. As a new application of social physics, the physical energy theory has been creatively introduced to depict consumer’s decision-making on IING adoption. A kinetic and potential energy model of IING adoption has been built. Based on simulation experiments, new insights of IING adoption have been gained.

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Article
Publication date: 13 July 2020

Xiaoxiao Shi, Zuolong Zheng, Qingpu Zhang and Huakang Liang

This paper aims to analyze the extent to which the influence of external knowledge search activities on firms’ incremental innovation capability, and the moderating roles…

Abstract

Purpose

This paper aims to analyze the extent to which the influence of external knowledge search activities on firms’ incremental innovation capability, and the moderating roles of the relatedness between the partners’ technological bases and a firm’s network embeddedness in the innovation network.

Design/methodology/approach

In this empirical research, the authors collected a sample of patents in the UAV industry over the period of 2004–2018. Then the authors examined the direct role of external knowledge search on firms’ incremental innovation capability and the joint moderating effects of technological proximity and network embeddedness.

Findings

We found that external knowledge search in innovation networks positively affects firms’ incremental innovation capability. Moreover, we discovered that high technological proximity to other peers positively strengthens the impact of firms’ external knowledge search on their incremental innovation capability. Finally, the findings suggested that the relationship between a firm’s external knowledge search activities and its incremental innovation capability is stronger for high technological proximity coupled with high network centrality or poor structural holes in innovation networks.

Originality/value

This study adds value to open innovation literature by pointing out a positive relationship between external knowledge search and firm incremental innovation capability. Furthermore, this study reinforces the key joint contingent roles of technological proximity and network embeddedness. This study provides a valuable theoretical framework of incremental innovation capability determinants by connecting the different perspectives.

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Article
Publication date: 14 May 2018

Xiaoxiao Shi and Qingpu Zhang

The purpose of this paper is to analyze the impact of inbound open innovation and organizational inertia on radical innovation capability (RIC). It also seeks to explore…

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Abstract

Purpose

The purpose of this paper is to analyze the impact of inbound open innovation and organizational inertia on radical innovation capability (RIC). It also seeks to explore whether the existence of organizational inertia has a moderating effect and influence on the relationship between inbound open innovation and RIC.

Design/methodology/approach

In this empirical research, the authors collected sample of patents in smart phone industry over the 2000-2016 period. Then, the authors examined the direct roles of inbound open innovation and organizational inertia, and the moderating role of organizational inertia by using hierarchical regression analysis.

Findings

Results found that cognitive inertia (CI) has a positive influence on firms’ RIC, but network inertia (NI) has a negative influence on RIC. CI also has a significant moderating effect on the relationship between inbound open innovation and RIC, but NI only has a significant moderating effect on the relationship between open search breadth and RIC. Inbound open innovation directly affects RIC.

Research limitations/implications

The authors collected the patent data of this study within the single industry and excluded other types of industries. And it may limit the generalization of the findings.

Practical implications

The paper includes implications for adopting an appropriate open search strategy and developing a better understanding of organizational inertia on firms’ radical innovation behavior. The findings suggest future directions to technology intensive industries for improving their RIC.

Originality/value

This study contributes to the relationship between organizational inertia and RIC within the framework of inbound open innovation.

Details

Journal of Organizational Change Management, vol. 31 no. 3
Type: Research Article
ISSN: 0953-4814

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Article
Publication date: 10 April 2009

Xiangyi Lin, Qingpu Zhang and Xiaolin Han

The purpose of this paper is to utilize “Wuli‐Shili‐Renli (WSR)” system methodology to analyze complexity of knowledge and knowledge management and create models for…

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902

Abstract

Purpose

The purpose of this paper is to utilize “Wuli‐Shili‐Renli (WSR)” system methodology to analyze complexity of knowledge and knowledge management and create models for knowledge management system (KMS) synthetically.

Design/methodology/approach

As a complex system, knowledge management should be analyzed and established by system methodologies. There are many system methodologies. Owing to WSR is characteristic of oriental culture; the paper introduces concept and working process of WSR system methodology in knowledge management from WSR perspective.

Findings

WSR system methodology can be used to analyze contents of WSR in KMS and to establish an effective KMS.

Research limitations/implications

How to define WSR in KMS is a little difficult for users.

Practical implications

A new approach for system analysis and establishment of a successful KMS.

Originality/value

The paper shows how the WSR system approach can integrate quantitative approach and qualitative analysis to analyze and establish a KMS synthetically.

Details

Kybernetes, vol. 38 no. 3/4
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 16 October 2009

Jianteng Xu, Qingpu Zhang and Qingguo Bai

The purpose of this paper is to find the best approximation algorithm for solving the more general case of single‐supplier multi‐retailer capacitated economic lot‐sizing…

Abstract

Purpose

The purpose of this paper is to find the best approximation algorithm for solving the more general case of single‐supplier multi‐retailer capacitated economic lot‐sizing (SM‐CELS) problem in deterministic inventory theory, which is the non‐deterministic polynomial (NP)‐hard problem.

Design/methodology/approach

Since few theoretical results have been published on polynomial time approximation algorithms for SM‐CELS problems, this paper develops a fully polynomial time approximation scheme (FPTAS) for the problem with monotone production and holding‐backlogging cost functions. First the optimal solution of a rounded problem is presented as the approximate solution and its straightforward dynamic‐programming (DP) algorithm. Then the straightforward DP algorithm is converted into an FPTAS by exploiting combinatorial properties of the recursive function.

Findings

An FPTAS is designed for the SM‐CELS problem with monotone cost functions, which is the strongest polynomial time approximation result.

Research limitations/implications

The main limitation is that the supplier only manufactures without holding any products when the model is applied.

Practical implications

The paper presents the best result for the SM‐CELS problem in deterministic inventory theory.

Originality/value

The LP‐rounding technique, an effective approach to design approximation algorithms for NP‐hard problems, is successfully applied to the SM‐CELS problem in this paper.

Details

Kybernetes, vol. 38 no. 10
Type: Research Article
ISSN: 0368-492X

Keywords

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