Jin Chen, Luyao Wang and Guannan Qu
The purpose of this paper is to conceptualize the business model (BM) from a knowledge-based view (KBV), to interpret its nature and knowledge structure and to investigate the…
Abstract
Purpose
The purpose of this paper is to conceptualize the business model (BM) from a knowledge-based view (KBV), to interpret its nature and knowledge structure and to investigate the relationship between its imitability and the erosion of firm’s competitive advantage.
Design/methodology/approach
Based on a systematic literature review, this study builds an integrated framework to explicate the nature and structure of the BM from a KBV. Moreover, on the analysis of two contrasting cases, the argument concerning the relationship between BM imitability and its strategic value is proposed, analyzed and supported.
Findings
The main finding of this study is that a BM can be viewed as a structured knowledge cluster that contains explicit and implicit parts. Its imitation is a dynamic process of knowledge diffusion across firm boundaries. Ceteris paribus, with a lower proportion of implicit knowledge, a BM is more likely to be imitated and the adopter’s competitive advantage is more likely to be eroded, and vice versa.
Practical implications
The proposed framework could provide managers with a deeper understanding of the nature and structure of the BM and help potential adopters develop a successful entry strategy by avoiding BMs that seem profitable but are incapable of maintaining competitive advantage.
Originality/value
As a complement to previous studies, the research conceptualizes the BM as a “structured knowledge cluster” to explicate its nature and knowledge structure from a KBV. The implicit part of the BM is explored, and its importance for the adopter’s competitive advantage is discussed and verified.
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Wenqi Zhang, Zhenbao Liu, Xiao Wang and Luyao Wang
To ensure the stability of the flying wing layout unmanned aerial vehicle (UAV) during flight, this paper uses the radial basis function neural network model to analyse the…
Abstract
Purpose
To ensure the stability of the flying wing layout unmanned aerial vehicle (UAV) during flight, this paper uses the radial basis function neural network model to analyse the stability of the aforementioned aircraft.
Design/methodology/approach
This paper uses a linear sliding mode control algorithm to analyse the stability of the UAV's attitude in a level flight state. In addition, a wind-resistant control algorithm based on the estimation of wind disturbance with a radial basis function neural network is proposed. Through the modelling of the flying wing layout UAV, the stability characteristics of a sample UAV are analysed based on the simulation data. The stability characteristics of the sample UAV are analysed based on the simulation data.
Findings
The simulation results indicate that the UAV with a flying wing layout has a short fuselage, no tail with a horizontal stabilising surface and the aerodynamic focus of the fuselage and the centre of gravity is nearby, which is indicative of longitudinal static instability. In addition, the absence of a drogue tail and the reliance on ailerons and a swept-back angle for stability result in a lack of stability in the transverse direction, whereas the presence of stability in the transverse direction is observed.
Originality/value
The analysis of the stability characteristics of the sample aircraft provides the foundation for the subsequent establishment of the control model for the flying wing layout UAV.
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Luyao Wang, Jianying Feng, Xiaojie Sui, Xiaoquan Chu and Weisong Mu
The purpose of this paper is to provide reference for researchers by reviewing the research advances and trend of agricultural product price forecasting methods in recent years.
Abstract
Purpose
The purpose of this paper is to provide reference for researchers by reviewing the research advances and trend of agricultural product price forecasting methods in recent years.
Design/methodology/approach
This paper reviews the main research methods and their application of forecasting of agricultural product prices, summarizes the application examples of common forecasting methods, and prospects the future research directions.
Findings
1) It is the trend to use hybrid models to predict agricultural products prices in the future research; 2) the application of the prediction model based on price influencing factors should be further expanded in the future research; 3) the performance of the model should be evaluated based on DS rather than just error-based metrics in the future research; 4) seasonal adjustment models can be applied to the difficult seasonal forecasting tasks in the agriculture product prices in the future research; 5) hybrid optimization algorithm can be used to improve the prediction performance of the model in the future research.
Originality/value
The methods from this paper can provide reference for researchers, and the research trends proposed at the end of this paper can provide solutions or new research directions for relevant researchers.
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Luyao Wang, Guannan Qu and Jin Chen
The purpose of this study is to conceptualize the paradigm of meaningful innovation (MI) by exploring the theoretical basis, identifying its core concepts and key processes, and…
Abstract
Purpose
The purpose of this study is to conceptualize the paradigm of meaningful innovation (MI) by exploring the theoretical basis, identifying its core concepts and key processes, and supporting it with evidence from leading world-class enterprises.
Design/methodology/approach
Based on a systemic literature review on the evolution of innovation paradigms, this study builds a conceptual framework to explicate the core concepts and process of MI. Moreover, a horizontal embedded case study of GREE electric appliances is conducted to further enrich, refine and support the proposed framework.
Findings
The main finding of this study is that MI could be regarded as a process of integrating innovation elements (resources, capabilities, systems, etc.) with internal and external innovation meaning to obtain outcomes with both economic value and social significance. As a “long-termism” paradigm with meaning identification and conversion as its core, MI is driven by the collaboration of “deductive mechanism” and “reflective mechanism.”
Originality/value
Based on the previous studies concerning innovation paradigms on the internal and external meaning, this paper proposes an integrated framework of MI. In this framework, enterprises can consider internal and external meanings through deductive and reflective mechanisms, to better coordinate resources, capabilities, institutions, markets and other factors to achieve higher innovation performance.
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Ruilin Yu, Yuxin Zhang, Luyao Wang and Xinyi Du
Time headway (THW) is an essential parameter in traffic safety and is used as a typical control variable by many vehicle control algorithms, especially in safety-critical ADAS and…
Abstract
Purpose
Time headway (THW) is an essential parameter in traffic safety and is used as a typical control variable by many vehicle control algorithms, especially in safety-critical ADAS and automated driving systems. However, due to the randomness of human drivers, THW cannot be accurately represented, affecting scholars’ more profound research.
Design/methodology/approach
In this work, two data sets are used as the experimental data to calculate the goodness-of-fit of 18 commonly used distribution models of THW to select the best distribution model. Subsequently, the characteristic parameters of traffic flow are extracted from the data set, and three variables with higher importance are extracted using the random forest model. Combining the best distribution model parameters of the data set, this study obtained a distribution model with adaptive parameters, and its performance and applicability are verified.
Findings
In this work, two data sets are used as the experimental data to calculate the goodness-of-fit of 18 commonly used distribution models of THW to select the best distribution model. Subsequently, the characteristic parameters of traffic flow are extracted from the data set, and three variables with higher importance are extracted using the random forest model. Combining the best distribution model parameters of the data set, this study obtained a distribution model with adaptive parameters, and its performance and applicability are verified.
Originality/value
The results show that the proposed model has a 62.7% performance improvement over the distribution model with fixed parameters. Moreover, the parameter function of the distribution model can be regarded as a quantitative analysis of the degree of influence of the traffic flow state on THW.
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Jingjing Wang, Zhiqiang Li, Huanhuan Feng, Yuanjing Guo, Zhengbo Liang, Luyao Wang, Xing Wan and Yalin Wang
Recently, sharing economy is gradually accepted by people, and it has expanded from life to knowledge. It is important to encourage people to produce high quality content in…
Abstract
Recently, sharing economy is gradually accepted by people, and it has expanded from life to knowledge. It is important to encourage people to produce high quality content in knowledge sharing area, and knowledge payment is one of the most effective ways to achieve it. Therefore, the knowledge payment has been regarded as a huge business opportunity, and it is of great meaning to study the development trend and feasibility of knowledge payment. This chapter, through big data methods, analyzes the business model of Zhihu (a Chinese platform of knowledge sharing) after it introduced knowledge payment projects, such as Zhihu Live and Pay Consultation. According to data of Zhihu users’ Q&A, concerned fields and others, this chapter tries to outline its user profile to find out the target groups of different topics, the proper form of knowledge payment and the hot topics of Zhihu Live. Through the analysis of knowledge graph, this chapter finds that Zhihu Live is expected to be the mainstream knowledge payment form in the future, and the most potential topics are mainly focused on science, law, and business. Meanwhile, it establishes a pricing model for Zhihu Live, and provides suggestions for the development of knowledge payment.
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Anna Visvizi, Miltiadis D. Lytras, Wadee Alhalabi and Xi Zhang
Anna Visvizi, Miltiadis D. Lytras, Wadee Alhalabi and Xi Zhang
In as much as it is contested, the Belt and Road Initiative (BRI) is also unexplored, underdiscussed, and, as a result, misunderstood. Frequently viewed through the lens of…
Abstract
In as much as it is contested, the Belt and Road Initiative (BRI) is also unexplored, underdiscussed, and, as a result, misunderstood. Frequently viewed through the lens of international relations and global economy, the diverse dimensions of collaboration, including business and research-industry clusters, that BRI enhances, tend to be excluded from the analysis. In a similar manner, the role of the Arab Peninsula in the grand strategy underpinning BRI and its implementation is rarely discussed. BRI is a forward-oriented initiative, an attempt to reap benefits of developments and circumstances that are only nascent. This bears two potent implications. First, as China attempts to influence the context in which it operates, it is subject to change itself; the Chinese business sector evolution attests to that. Second, some of China’s not so obvious partners of today, including those in the Arab Peninsula, are about to turn into key interlocutors of tomorrow. BRI taps into opportunities thus created. This chapter elaborates on these issues and, against this backdrop, outlines how the remaining chapters included in this volume add to this discussion.
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Jinfeng Wang, Luyao Zhang, Kuo-Yi Lin and Lijie Feng
The desired outcome in the new product development (NPD) effort is the timely commercialization of a profitable product. Whether marketing can benefit from the NPD case study is a…
Abstract
Purpose
The desired outcome in the new product development (NPD) effort is the timely commercialization of a profitable product. Whether marketing can benefit from the NPD case study is a critical but underresearched issue. The purpose of this study is to investigate the usage and quality of NPD case studies in business and industrial marketing.
Design/methodology/approach
To investigate the prevalence and research quality of case studies on NPD in business and industrial marketing, 317 case studies published in mainstream journals over the past decade (2010–2020) are reviewed.
Findings
This study finds that the distribution of quantity and quality of case studies fluctuates across journals. The scores on the evaluation template for the different case study stages vary widely across journals. This indicates that different journals have different criteria and priorities for NPD case studies. By focusing on different issues, enterprises can quickly find appropriate journals and case results according to their own needs.
Originality/value
This paper can help spark a debate about the implementation and quality of NPD case studies, including future studies and practical applications. To the best of the authors’ knowledge, no similar study has been found in existing studies.
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Luyao Jiang, Yanan Sun and Hongbo Zhao
This study aims to explore the relationship between non-market strategies and organizational resilience, using a Chinese private enterprise as an example.
Abstract
Purpose
This study aims to explore the relationship between non-market strategies and organizational resilience, using a Chinese private enterprise as an example.
Design/methodology/approach
This study collected data through semi-structured interviews and analyzed them through grounded theory, using a three-step approach of open coding, axial coding and selective coding to analyze and construct a model of the mechanism of the impact of non-market strategies on organizational resilience.
Findings
The following conclusions were drawn from this study. (1) Stakeholders, internal and external environment and entrepreneurship are important motivations that influence private firms to implement non-market strategies to enhance organizational resilience, with entrepreneurship being the key driver. (2) Non-market strategies contain three dimensions, and different non-market behaviors have different mechanisms of action on the organizational resilience of firms. (3) Non-market strategies and organizational resilience form an interactive spiral relationship. This mutually reinforcing effect promotes firm growth and sustainable corporate development. The research results enrich the theoretical connotation of non-market strategies, construct a model of the mechanism of influence of non-market strategies on organizational resilience, and describe three explanatory paths for the relationship between the two–incentive mechanism, functional mechanism and transformation mechanism.
Research limitations/implications
This study's single case is unique and based on the Chinese context. In addition, this study adopts a rooted qualitative research approach and although the coding and model construction strictly follow the steps of grounded theory research, a degree of subjectivity is inevitable. On this basis, future research can adopt quantitative analysis methods to test and improve the model.
Practical implications
This paper explores the important role of non-market strategies in the Chinese context under the impact of traditional market mechanisms, based on the perspective of Chinese private enterprises, and provides new insights and revelations for private enterprises to achieve sustainable development.
Originality/value
This study innovatively explores the formation mechanism of organizational resilience from the perspective of non-market strategies, adding a new perspective to the literature. Additionally, it examines the mechanisms between long-term non-market strategy and organizational resilience, particularly their relationship in times of crisis, utilizing a rooted approach that goes beyond static analysis.