The purpose of this paper is to build a System Dynamics model to reveal the structure and dynamics of knowledge coupling affecting firms' innovation results in the digital context.
Abstract
Purpose
The purpose of this paper is to build a System Dynamics model to reveal the structure and dynamics of knowledge coupling affecting firms' innovation results in the digital context.
Design/methodology/approach
Drawing on the recombined view of innovation, this paper divides knowledge coupling into two dimensions: component knowledge coupling and architectural knowledge coupling. Then, the authors build a system dynamics model to identify the interaction of knowledge coupling factors and use the professional Vensim PLE to conduct simulation analysis to capture the dynamic interaction of motivation factors in knowledge coupling system.
Findings
The results show that both technology resources and digital dynamic capability play positive effects in the mechanism of knowledge coupling influencing firms' innovation results, while organizational inertia negatively affects the process of knowledge coupling to achieve innovation outcomes.
Originality/value
This study develops a holistic system dynamics model to reveal and elaborate on the complex dynamic mechanism of knowledge coupling impacting firms' innovation results in the context of digitization and provides a theoretical reference for companies to effectively adopt digital technology to carry out knowledge coupling strategy.
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Huiping Zhou, Yanhong Yao and Huanhuan Chen
This paper aims to explore the direct effects of open innovation (OI) on firms’ innovative performance, and to examine the moderating effects of knowledge attributes, including…
Abstract
Purpose
This paper aims to explore the direct effects of open innovation (OI) on firms’ innovative performance, and to examine the moderating effects of knowledge attributes, including knowledge distance, knowledge embeddedness and partner opportunism on this relationship.
Design/methodology/approach
Survey data of 247 samples from China were used to test the proposed model through hierarchical regression analysis.
Findings
The findings indicate that the dimensions of OI are positively related to innovative performance. The results also reveal that knowledge distance positively moderates the relationship between inbound OI and innovative performance, whereas knowledge embeddedness negatively affects that relationship. Knowledge embeddedness negatively affects the relationship between inbound OI and innovative performance, whereas knowledge distance positively moderates that relationship. Thus, a new finding is proposed that knowledge attributes could align effectively with specific OI type to achieve superior innovation outcomes. In addition, the empirical results suggest that partner opportunism plays a negative moderating role on the relationship between outbound OI and innovative performance.
Originality/value
The proposed view that a firm’s innovation outputs will be superior when its knowledge attributes effectively align with OI enriches studies of the OI context and expands the literature of both the resource-based view and the knowledge-based view. Furthermore, this study provides insights into how OI benefits can be influenced by external contexts from the perspective of partners’ opportunistic behaviour.
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Huiping Zhou, Karen Yuan Wang, Yanhong Yao and Kai-Ping Huang
The purpose of this paper is to examine the relationship between open innovation (OI) and innovative performance, and to explore the moderating effect of knowledge structure…
Abstract
Purpose
The purpose of this paper is to examine the relationship between open innovation (OI) and innovative performance, and to explore the moderating effect of knowledge structure, including component knowledge and architectural knowledge, on this particular relationship.
Design/methodology/approach
The proposed model was tested with regression analysis of data collected through a questionnaire survey of 231 employees of Chinese manufacturing firms.
Findings
The findings indicate that inbound OI is positively related to innovative performance and that outbound OI has an inverted U-shaped effect on innovative performance. By presenting empirical evidence of the moderating effects of component and architectural knowledge, our analysis of results demonstrates that the strong alignment between knowledge structure and OI results in superior innovative performance.
Originality/value
This study addresses the controversial issues brought up by previous studies with findings of an inverted U-shaped effect of outbound OI on innovative performance. By exploring the moderating effect of knowledge structure, the authors provide insights into how internal contextual factors in relation to organizational knowledge can affect the efficacy of the inbound and outbound OI on innovative performance.
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The purpose of this paper is to build a symbiotic evolution model to analyze the symbiotic modes and dynamic equilibrium of mobile internet platform innovation ecosystem (MIPIE…
Abstract
Purpose
The purpose of this paper is to build a symbiotic evolution model to analyze the symbiotic modes and dynamic equilibrium of mobile internet platform innovation ecosystem (MIPIE) in order to explore its evolutionary path.
Design/methodology/approach
From a symbiosis theory perspective, the authors studied the dynamic evolution stages and symbiotic mode of MIPIE. By adopting logistic model, the symbiotic evolution model of MIPIE is established. After calculating the steady conditions and equilibrium point of this model, numerical simulation was done with MATLAB software to illustrate the impact of symbiotic parameters on evolution path in this ecosystem.
Findings
The symbiotic evolution mode of MIPIE experienced parasitism, commensalism to asymmetric mutualism, and symmetry mutualism or independence. In given conditions, the dynamic evolution of MIPIE eventually tends to a steady equilibrium point. The evolutionary consequence of innovative subjects is not only determined by the natural growth rate, but symbiotic modes can also affect the evolutionary path. Different symbiotic modes result in different evolutionary paths.
Practical implications
Improved understanding of symbiosis in MIPIE could help policy makers to promote value co-creation and dynamic interests balance while facilitating the cooperation of others for successful platform ecosystem management.
Originality/value
The logistic model introduced here bridge theory and practice while establishing a stronger link between symbiosis theory and platform ecosystem management.
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Huiping Xian, Carol Atkinson and Yue Meng-Lewis
China's controversial one-child policy has been blamed for creating an ageing population, a generation of employees without siblings and a 4-2-1 family structure that places…
Abstract
Purpose
China's controversial one-child policy has been blamed for creating an ageing population, a generation of employees without siblings and a 4-2-1 family structure that places eldercare responsibility, primarily on women. Current understanding of how this affects contemporary employees' work–life interface is lacking. This study examined the moderating roles of family structure and gender in the relationships between work–life conflict (WLC), job satisfaction and career aspiration for university academics.
Design/methodology/approach
Online and self-administered surveys were used to collect data, which involved 420 academic staff in three Chinese research universities.
Findings
Our results revealed that WLC is positively related to career aspiration, and this relationship is stronger for academics with siblings and, within the only-children group, significantly stronger for women than for men. WLC is also negatively related to job satisfaction, and this relationship is stronger for only-children academics.
Research limitations/implications
Results were limited by a cross-sectional sample of modest size. Nevertheless, this study contributes to the understanding of gender roles and changing family structure in the work–life interface of Chinese academics.
Practical implications
Our findings have implications for both universities seeking to improve staff well-being and for wider society. A number of support mechanisms are proposed to enhance the ability of only children, especially women, to operate as effective members of the labour market.
Originality/value
Our results showed that only-children academics face a unique set of difficulties across career and family domains, which have been previously neglected in literature.
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Chee Wei Cheah, Soo Yeong Ewe and Helen Hui Ping Ho
This study advances network brokerage theory by examining both benefits-driven and altruistic brokerage behaviors within the mutual fund retail markets of emerging economies.
Abstract
Purpose
This study advances network brokerage theory by examining both benefits-driven and altruistic brokerage behaviors within the mutual fund retail markets of emerging economies.
Design/methodology/approach
Using a methodological combination of netnographic observations and in-depth interviews with fund investors, social influencers, sales agents and staffs from do-it-yourself (DIY) investment platforms, it uncovers the digital evolution of the mutual fund industry.
Findings
Our findings illuminate a significant pivot from traditional retail channels to third-party DIY investment platforms, a change accelerated by the recent pandemic. This shift underscores a critical theoretical extension by spotlighting the altruistic actions of social influencers, or key opinion leaders (KOLs), challenging the prevalent focus on solely benefits-driven motives in network brokerage literature. Furthermore, the study reveals a diminishing significance of arbitrage network brokering amidst the industry’s digital overhaul.
Originality/value
Concluding with an insightful discussion on its implications to policymakers and practitioners and acknowledging potential limitations, this research offers valuable perspectives for understanding the dynamics of network brokerage in the context of digital transformation within consumer financial markets.
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Xiaoyan Chen, Weina Zhu, Yajiao Chen and Qinghua He
The development and evolution of stakeholder collaborative innovation in megaprojects is impacted by various influencing factors. The effect of influencing factors on…
Abstract
Purpose
The development and evolution of stakeholder collaborative innovation in megaprojects is impacted by various influencing factors. The effect of influencing factors on collaborative innovation performance (CIP) in megaprojects is not a simplistic linear relationship but an iterative and non-linear relationship that requires a dynamic perspective to analyze. Therefore, this paper adopts the system dynamic (SD) approach to investigate the dynamic and interactive relationships between the CIP and the influencing factors.
Design/methodology/approach
The study first develops a research framework with the system boundary of “CIP system – organizational collaboration subsystem – knowledge collaboration subsystem – strategic collaboration subsystem”. Then, the causal relationship model, the stock-flow model, and the mathematical equations were determined based on the literature review and the expert interviews. Finally, five performance improvement scenarios were designed according to the practice context of CIP in megaprojects, and simulations were performed using the Vensim PLE software to investigate the CIP from a dynamic perspective.
Findings
The findings reveal that the effect of different influencing factors on CIP grows non-linearly, with the cumulative effect becoming more pronounced as time advances. The incentive mechanism has the most significant effect, and the combined effect of multiple influencing factors has a highly significant facilitating effect on improving CIP. Strategic collaboration, organizational collaboration and knowledge collaboration are mutually conditional and reinforcing with each other, which ultimately promotes the improvement of CIP.
Originality/value
This study uncovers the inherent pattern and the interactive dynamic mechanism of factors for improving CIP in the context of megaprojects. It enriches the theoretical research in the area of collaborative innovation in megaprojects and provides practical management strategies for improving CIP.
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Luis Lisandro Lopez Taborda, Heriberto Maury and Jovanny Pacheco
There are many investigations in design methodologies, but there are also divergences and convergences as there are so many points of view. This study aims to evaluate to…
Abstract
Purpose
There are many investigations in design methodologies, but there are also divergences and convergences as there are so many points of view. This study aims to evaluate to corroborate and deepen other researchers’ findings, dissipate divergences and provide directing to future work on the subject from a methodological and convergent perspective.
Design/methodology/approach
This study analyzes the previous reviews (about 15 reviews) and based on the consensus and the classifications provided by these authors, a significant sample of research is analyzed in the design for additive manufacturing (DFAM) theme (approximately 80 articles until June of 2017 and approximately 280–300 articles until February of 2019) through descriptive statistics, to corroborate and deepen the findings of other researchers.
Findings
Throughout this work, this paper found statistics indicating that the main areas studied are: multiple objective optimizations, execution of the design, general DFAM and DFAM for functional performance. Among the main conclusions: there is a lack of innovation in the products developed with the methodologies, there is a lack of exhaustivity in the methodologies, there are few efforts to include environmental aspects in the methodologies, many of the methods include economic and cost evaluation, but are not very explicit and broad (sustainability evaluation), it is necessary to consider a greater variety of functions, among other conclusions
Originality/value
The novelty in this study is the methodology. It is very objective, comprehensive and quantitative. The starting point is not the case studies nor the qualitative criteria, but the figures and quantities of methodologies. The main contribution of this review article is to guide future work on the subject from a methodological and convergent perspective and this article provides a broad database with articles containing information on many issues to make decisions: design methodology; optimization; processes, selection of parts and materials; cost and product management; mechanical, electrical and thermal properties; health and environmental impact, etc.
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Martin C. Schleper, Sina Duensing and Christian Busse
This study aims to shape the future trajectory of scholarly research on traditional, reputational and societal supply chain risks and their management.
Abstract
Purpose
This study aims to shape the future trajectory of scholarly research on traditional, reputational and societal supply chain risks and their management.
Design/methodology/approach
The research uses a narrative literature review of the overview type. To control bias stemming from the subjectivity of the methodology, the authors synthesized the relevant literature transparently and established various safeguarding procedures.
Findings
The established research stream on traditional supply chain risk has generated a wealth of concepts that can potentially be transferred to the study of reputational and societal risks. The maturing research stream on reputational risks has mostly focused on risk manifestation, from the upstream perspective of the focal firm. The emerging scholarship on societal supply chain risks has anecdotally highlighted detrimental effects on contextual actors, such as society-at-large.
Research limitations/implications
This study shifts scholarly attention to the role of the context in the risk manifestation process – as a potential risk source for traditional supply chain risk, during the risk materialization for reputational supply chain risk, and as the locus of the risk effect for societal supply chain risk.
Originality/value
This review is unique in that it fosters a holistic understanding of supply chain risk and underscores the increased importance of the context for it. The socioeconomic, institutional and ecological contexts connect the three reviewed research streams. Detailed research agendas for each literature stream are developed, comprising 23 topical areas in total.
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Boppana V. Chowdary and Deepak Jaglal
This paper aims to present a reverse engineering (RE) approach for three-dimensional (3D) model reconstruction and fast prototyping (FP) of broken chess pieces.
Abstract
Purpose
This paper aims to present a reverse engineering (RE) approach for three-dimensional (3D) model reconstruction and fast prototyping (FP) of broken chess pieces.
Design/methodology/approach
A case study involving a broken chess piece was selected to demonstrate the effectiveness of the proposed unconventional RE approach. Initially, a laser 3D scanner was used to acquire a (non-uniform rational B-spline) surface model of the object, which was then processed to develop a parametric computer aided design (CAD) model combined with geometric design and tolerancing (GD&T) technique for evaluation and then for FP of the part using a computer numerical controlled (CNC) machine.
Findings
The effectiveness of the proposed approach for reconstruction and FP of rotational parts was ascertained through a sample part. The study demonstrates non-contact data acquisition technologies such as 3D laser scanners together with RE systems can support to capture the entire part geometry that was broken/worn and developed quickly through the application of computer aided manufacturing principles and a CNC machine. The results indicate that design communication, customer involvement and FP can be efficiently accomplished by means of an integrated RE workflow combined with rapid product development tools and techniques.
Originality/value
This research established a RE approach for the acquisition of broken/worn part data and the development of parametric CAD models. Then, the developed 3D CAD model was inspected for accuracy by means of the GD&T approach and rapidly developed using a CNC machine. Further, the proposed RE led FP approach can provide solutions to similar industrial situations wherein agility in the product design and development process is necessary to produce physical samples and functional replacement parts for aging systems in a short turnaround time.