Junping Yang and Mengjie Zhang
This paper aims to explore coopetition within the entrepreneurial ecosystem and answer the following two fundamental questions: How does coopetition affect the entrepreneurial…
Abstract
Purpose
This paper aims to explore coopetition within the entrepreneurial ecosystem and answer the following two fundamental questions: How does coopetition affect the entrepreneurial learning and performance of startups? and What learning strategies should startups adopt to promote their growth in the coopetition activities?
Design/methodology/approach
Using the structural equation model and instrumental variable, this study used a sample of 371 startups to test the hypotheses. Data comes from startups in Jiangsu, Shanghai and Zhejiang, China.
Findings
This study finds that the coopetition-performance relationship of startups is marginally negative. This study also finds that exploitative learning and exploratory learning positively mediate this relationship. Ecosystem’s social capital can enhance the coopetition-exploration relationship, but the coopetition-exploitation relationship is not affected.
Originality/value
Many studies propose that the coopetition-performance relationship is ambiguous, which makes it meaningful to explore startups individually. Based on the resource-based view and the knowledge-based view, this study deepen the works of Bouncken and Fredrich (2016c), that is, how startups can learn and grow through coopetition activities. This study proposes that coopetition is one of the foundations of the ecosystem and explore the coopetition-performance relationship in this special context. Thus, the present paper adds to the budding literature on the effects of the entrepreneurial ecosystem and to the literature on coopetition.
Details
Keywords
Junping Yang and Feng-Kwei Wang
Few studies investigated the influence of heterogeneous knowledge and social networks on the innovation performance of new ventures in emerging economics. Particularly, as the…
Abstract
Purpose
Few studies investigated the influence of heterogeneous knowledge and social networks on the innovation performance of new ventures in emerging economics. Particularly, as the focus of global economic development is paying more attention to emerging economics such as China, Indonesia and India, innovation research in these countries becomes more and more important. As such, this paper aims to propose a theoretical model and designed a survey based on the Theory of Inventive Problem Solving (TRIZ).
Design/methodology/approach
To investigate the influence of network heterogeneity and knowledge heterogeneity on the innovation performance of new ventures, the authors designed a structured questionnaire based on the TRIZ methodology for innovative problem solving to collect data from new ventures established in the past eight years in eastern China.
Findings
The empirical results verify the assumptions of our theoretical model: network heterogeneity has a positive impact on the innovation performance of new ventures; knowledge heterogeneity has a positive impact on the innovation performance of new ventures; network heterogeneity has a positive impact on knowledge heterogeneity.
Originality/value
The main contribution of this paper is that the proposed theoretical model determining the relationship of network heterogeneity and knowledge heterogeneity with the innovation performance of new ventures was empirically tested and verified. This study also empirically verified what types and what sources of social network and knowledge are critically linked to new venture innovation.
Details
Keywords
Feifei Wang, Tina J. Jayroe, Junping Qiu and Houqiang Yu
The purpose of this paper is to further explore the co-citation and bibliographic-coupling relationship among the core authors in the field of Chinese information science (IS), to…
Abstract
Purpose
The purpose of this paper is to further explore the co-citation and bibliographic-coupling relationship among the core authors in the field of Chinese information science (IS), to expose research activity and author impact, and to make induction analyses about Chinese IS research patterns and theme evolution.
Design/methodology/approach
The research data include 8,567 papers and 70,947 cited articles in the IS field indexed by Chinese Social Sciences Citation Index from 2000 to 2009. Author co-citation analysis, author bibliographic-coupling analysis, social network analysis, and factor analysis were combined to explore co-citation and bibliographic-coupling relationships and to identify research groups and subjects.
Findings
Scholars with greatest impact are different from the most active scholars of Chinese IS; there is no uniform impact pattern forming since authors’ impact subjects are scattered and not steady; while authors’ research activities present higher independence and concentration, there is still no steady research pattern due to no deep research existing. Furthermore, Chinese IS studies can be delineated by: foundation or extension. The research subjects of these two parts, as well as their corresponding/contributing authors, are different under different views. The general research status of core authors is concentrated, while their impact is broad.
Originality/value
The combined use of some related methods could enrich the development and methodology research of the discipline, and the results establish a reference point on the development of IS research.
Details
Keywords
Zifan Zhou, Yufeng Duan, Junping Qiu and Li Yang
This article intends to explore how organizational learning affects innovation in public library services, and the role of public librarians in innovation in library services.
Abstract
Purpose
This article intends to explore how organizational learning affects innovation in public library services, and the role of public librarians in innovation in library services.
Design/methodology/approach
This study collected 375 valid questionnaires from 19 public libraries in Shanghai and Zhejiang based on organizational learning, organizational innovation and employee psychological empowerment theory. Additionally, SPSS and HLM are used to analyze the relationship among the three processes of organizational learning: knowledge acquisition, knowledge sharing and knowledge application, and public library service innovation.
Findings
Results show that organizational learning has a significant positive effect on the service innovation of public libraries. Knowledge acquisition and knowledge application in the process of organizational learning have a significant positive influence on the service innovation of public libraries, but the impact of knowledge sharing on service innovation is weak. Employee psychological empowerment has a negative regulating influence on knowledge sharing–public library service innovation, but no significant influence on knowledge application–public library service innovation and knowledge acquisition–public library service innovation.
Originality/value
This research explores the effectiveness of the theory of organizational learning in the field of public libraries and also confirms the role of librarians in the work of public libraries. Together, they promote the innovation of public libraries.
Details
Keywords
Chong Xu, Pengbo Wang, Fan Yang, Shaohua Wang, Junping Cao and Xin Wang
This paper aims at building a discharge model for the power cable bellows based on plasma energy deposition and analyzing the discharge ablation problem.
Abstract
Purpose
This paper aims at building a discharge model for the power cable bellows based on plasma energy deposition and analyzing the discharge ablation problem.
Design/methodology/approach
Aiming at the multiphysical mechanism of the discharge ablation process, a multiphysical field model based on plasma energy deposition is established to analyze the discharge characteristics of the power cable bellows. The electrostatic field, plasma characteristics, energy deposition and temperature field are analyzed. The discharge experiment is also carried out for result validation.
Findings
The physical mechanism of the bellows ablative effect caused by partial discharge is studied. The results show that the electric field intensity between the aluminum sheath and the buffer layer easily exceeds the pressure resistance value of air breakdown. On the plasma surface of the buffer layer, the electron density is about 4 × 1,019/m3, and the average temperature of electrons is about 3.5 eV. The energy deposition analysis using the Monte Carlo method shows that the electron range in the plasma is very short. The release will complete within 10 nm, and it only takes 0.1 s to increase the maximum temperature of the buffer layer to more than 1,000 K, thus causing various thermal effects.
Originality/value
Its physical process involves the distortion of electric field, formation of plasma, energy deposition of electrons, and abrupt change of temperature field.
Details
Keywords
Yanhui Song, Kaiyang Wei, Siluo Yang, Fei Shu and Junping Qiu
Library science and information science, two subdisciplines of library and information science (LIS), are developed independently but interconnectedly. In this information age…
Abstract
Purpose
Library science and information science, two subdisciplines of library and information science (LIS), are developed independently but interconnectedly. In this information age, LIS is in a special period of transformation and development, which has caused some changes in both library science and information science. By accurately capturing these changes and analyzing them, the authors can effectively map the development of LIS in the new century, thus providing a reference for the evolution and development of the field. The purposes of this paper are to explore the mainstream research fields and frontiers of library science and information science, respectively, since the new century, and to make a comparative analysis of the two subdisciplines.
Design/methodology/approach
By using CiteSpace to visualize LIS journals, this study draws knowledge maps of the two subdisciplines of LIS through the co-occurrence descriptors network. Using burst detection algorithm, this study detects words of high frequency variation by investigating the time frequency distribution.
Findings
The results show that the research focus of library science has experienced a change from traditional to digital library while information science has moved from information to data focus. This study also finds the similarities and differences between mainstream areas of library science and information science.
Originality/value
This study focuses on the evolution of library science and information science, and explores their mainstream research fields and frontiers in the 21st century. These findings will promote the transformation and development of LIS as well as provide research directions for scholars in the field.
Details
Keywords
Junping Qiu, Qinze Mi, Zhongyang Xu, Tingyong Zhang and Tao Zhou
Based on the social interaction theory and trust theory, this study investigates the switching of users on social question and answer (Q&A) platforms from knowledge seekers to…
Abstract
Purpose
Based on the social interaction theory and trust theory, this study investigates the switching of users on social question and answer (Q&A) platforms from knowledge seekers to knowledge contributors.
Design/methodology/approach
We used Python to gather data from Zhihu, performed hypothesis testing on the models using Poisson regression and finally conducted a mediation effect analysis.
Findings
The findings reveal that knowledge seeking impacts users' motivation for information interaction, emotional interaction and trust. Notably, information interaction and trust exhibit a chained mediation effect that subsequently influences knowledge contribution.
Originality/value
Current studies on user knowledge behavior typically examine individual actions, rarely connecting knowledge seeking and knowledge contribution. However, the balance of knowledge inflow and outflow is crucial for social Q&A platforms. To cover this gap, this paper empirically investigates the switching between knowledge seeking and knowledge contribution based on the social interaction theory and trust theory.
Details
Keywords
Song Qu, Nico Heerink, Ying Xia and Junping Guo
The purpose of this paper is to examine the impact of the compensation amount as well as the mode through which compensations are paid on farmers’ satisfaction with the…
Abstract
Purpose
The purpose of this paper is to examine the impact of the compensation amount as well as the mode through which compensations are paid on farmers’ satisfaction with the compensation received for farmland expropriation in China.
Design/methodology/approach
Using rural household survey data collected among 450 households in three provinces, located in eastern, central and western China, this paper estimates the impacts of compensation payments, compensation modes, household characteristics and other control variables on farmers’ satisfaction applying an ordinal probit model.
Findings
The major findings are: farmers’ satisfaction with the compensation depends not only on the size of the compensation but also on the gap between the compensation and the market value of the expropriated land; and the compensation amount positively affects farmers’ satisfaction when the social security compensation mode is used, but does not significantly affect farmers’ satisfaction when other modes are used.
Originality/value
First, it contributes to the literature on farmland expropriation by providing empirical evidence of the direct impact of the compensation amount and other factors on the degree of farmers’ satisfaction with farmland compensations. Second, potential interactions between compensation amount and compensation mode are taken into account in estimating factors affecting farmers’ satisfaction.
Details
Keywords
Junping Qiu, Zhongyang Xu, Haibei Luo, Jianing Zhou and Yu Zhang
Establishing and developing digital science and education evaluation platforms (DSEEPs) have several practical implications for the development of China's science, technology and…
Abstract
Purpose
Establishing and developing digital science and education evaluation platforms (DSEEPs) have several practical implications for the development of China's science, technology and education. Identifying and analyzing the key factors influencing DSEEP user experience (UX) can improve the users' willingness to use the platform and effectively promote its sustainable development.
Design/methodology/approach
First, a literature survey, a five-element model of UX and semi-structured interviews were used in this study to develop a DSEEP UX-influencing factor model, which included five dimensions and 22 influencing factors. Second, the model validity was verified using questionnaire data. Finally, the key influencing factors were identified and analyzed using a fuzzy decision-making trial and evaluation laboratory (fuzzy-DEMATEL) method.
Findings
Fourteen influencing factors, including diverse information forms and comprehensive information content, are crucial for the DSEEP UX. Its optimization path is “‘Function Services’ → ‘Information Resources’ → ‘Interaction Design’ → ‘Interface Design’ and ‘Visual Design’.” In this regard, platform managers can take the following measures to optimize UX: strengthening functional services, improving information resources, enhancing the interactive experience and considering interface effects.
Originality/value
This study uses a combination of qualitative and quantitative research methods to determine the key influencing factors and optimization path of DSEEP UX. Optimization suggestions for UX are proposed from the perspective of platform managers, who provide an effective theoretical reference for innovating and developing a DSEEP.
Details
Keywords
Lin Wang and Junping Qiu
The conditions that domain analysis becomes an academic school of information science (IS) are mature. Domain analysis is one of the most important foundations of IS. The purpose…
Abstract
Purpose
The conditions that domain analysis becomes an academic school of information science (IS) are mature. Domain analysis is one of the most important foundations of IS. The purpose of this paper is to analyze and discuss metatheoretical and theoretical issues in the domain analytic paradigm in IS.
Design/methodology/approach
This paper conducts a systematic review of representative publications of domain analysis. The analysis considered degree theses, journal articles, book chapters, conference papers and other materials.
Findings
Domain analysis maintains that community is the new focus of IS research. Although domain analysis centers on the domain and community, theoretical concerns on the social and individual dimensions of IS are inherent in it by its using sociology as its important approach and socio-cognitive viewpoint. For these reasons domain analysis can integrate social–community–individual levels of IS discipline as a whole. The role of subject knowledge in IS is discussed from the perspective of domain analysis. Realistic pragmatism that forms the philosophical foundation of domain analysis is argued and the implications of these theories to IS are presented.
Originality/value
The intellectual evolving landscape of domain analysis during a quarter century is comprehensively reviewed. Over the past twenty-five years, domain analysis has established its academic status in the international IS circle. Being an important metatheory, paradigm and methodology, domain analysis becomes the theoretical foundation of IS research. This paper assesses the current state of domain analysis and shows the contributions of domain analysis to IS. It also aims to inspire further exploration.