期刊：
Information Processing & Management,2024年61(3):103649 ISSN：0306-4573
通讯作者：
Chi, MM
作者机构：
[Xia, Lixin; Zhai, Shanshan] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Chi, Maomao; Chi, MM] China Univ Geosci, Sch Econ & Management, Wuhan 430078, Peoples R China.;[Chi, Maomao; Chi, MM] Wuhan Technol & Business Univ, Inst Digital Commerce, Wuhan 430065, Peoples R China.;[Li, Xuguang] Shandong Univ Technol, Sch Informat Management, Zibo 255000, Peoples R China.
通讯机构：
[Chi, MM ] C;China Univ Geosci, Sch Econ & Management, Wuhan 430078, Peoples R China.;Wuhan Technol & Business Univ, Inst Digital Commerce, Wuhan 430065, Peoples R China.
关键词：
Configuration perspective;National natural science foundation of China;Youth program;Library and information science
摘要：
While extensive research has delved into various facets of science funding outputs and the determinants of funding approval, prevailing methodologies predominantly rely on descriptive statistics or regression analyses. These approaches often miss a holistic view that integrates the interplay of multiple influential factors. In this study, we leverage the scientific research productivity model to introduce the Institution-Capability-Demographics framework, encompassing three pivotal dimensions: institutional characteristics, individual capabilities, and individual demographics. Adopting a configuration perspective, we scrutinize the synergistic effects of these dimensions on the time-to-win in science funding applications. Our empirical analysis draws from data of 72 young scholars affiliated with the Youth Program for Library and Information Science (LIS) of the NSFC, all of whom secured funding between 2003 and 2019. Through the fuzzy-set qualitative comparative analysis (fsQCA), this study delineates four distinct mechanisms that expedite the application process for the NSFC's Youth Program: demographic-capability-institution synergy, capability-centric balance, demographic-capability harmony, and capability-institution equilibrium. The findings elucidate the intricate interdependencies of factors influencing the time-to-win in science funding, offering valuable guidance for science fund managers and fostering the growth of emerging scholars.
作者机构：
[Yang, Honglin] Hunan Univ, Sch Business Adm, Changsha 410082, Hunan, Peoples R China.;[Gao, Mingyun] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Xiao, Qinzi] Wuhan Inst Technol, Sch Management, Wuhan 430205, Peoples R China.
通讯机构：
[Mingyun Gao] S;School of Information Management, Central China Normal University, Wuhan, People’s Republic of China
关键词：
Grey forecasting;Grey power model;Generalized fractional-order accumulation;Derivation forms
摘要：
Considering the effective service life of products, this study initially defined a generalized fractional-order accumulation generation matrix covering the effective accumulation percentage. We suggested a generalized fractional-order accumulation grey power model (GFAGMP(1,1) model) using this matrix, along with its parameter estimate, error analysis, and time response function solution. We studied transformation and the link from the generalized GM(1,1) model to GFAGMP(1,1) model on the basis of integral and power function transformation and deduced three derivation forms of this model and their application range via the class ratio analysis. Finally, different forecasting models were compared with the actual sales data of Chinese refrigerators. The results of comparison demonstrated the feasibility and effectiveness of the GFAGMP(1,1) model in forecasting the home-appliance supply chain demand in China.
作者：
Zhang, Min;Zhang, Dongxin;Zhang, Yin;Yeager, Kristin;Fields, Taylor N.
期刊：
Journal of Informetrics,2023年17(4) ISSN：1751-1577
通讯作者：
Zhang, Y
作者机构：
[Zhang, Min] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[Zhang, Dongxin] Southwest Univ, Sch Comp & Informat Sci, Chongqing, Peoples R China.;[Zhang, Yin; Fields, Taylor N.; Zhang, Y] Kent State Univ, Sch Informat, Kent, OH 44242 USA.;[Yeager, Kristin] Kent State Univ, Univ Lib, Kent, OH USA.
通讯机构：
[Zhang, Y ] K;Kent State Univ, Sch Informat, Kent, OH 44242 USA.
摘要：
Influence plays a critical role in information communication, and the ubiquitous use of social media has made measuring influence on social media platforms a salient challenge. While previous studies have attempted to measure and investigate influence on Twitter, there is no consensus on its definition or relation to fundamental Twitter metrics. This study examined relationships between a composite influence measure of Twitter and fundamental social media metrics using a sample of tweets from a multi-year public campaign. Correlation analyses indicated that a user's number of followers had the strongest correlation with the composite measure. Principal components analysis was conducted for dimension reduction, and multiple regression analysis was performed using the resulting components. The findings revealed that a user's network was the most important predictor of the composite influence measure and that there was a negative relationship between campaign related activity and the composite measure. Implications of these findings are discussed. Overall, this study contributes to the understanding of and future efforts in the measurement of influence on social media.
期刊：
Journal of Integrated Design & Process Science,2023年Preprint(Preprint):1-26 ISSN：1092-0617
通讯作者：
Zhang, Xiaojuan
作者机构：
[Mo, Fuchuan; Zhang, Xiaojuan] School of Information Management, Wuhan University, Wuhan, China;[Feng, Cuicui] School of Information Management, Central China Normal University, Wuhan, China
通讯机构：
[Zhang, Xiaojuan] S;School of Information Management, Wuhan University, Wuhan, China
关键词：
Open government data;OGD performance;TOE framework;fsQCA;configurational paths
摘要：
Open Government Data (OGD) is leading the way towards digitization, intelligence, and transparency of public services and government decision-making. Aiming at elucidating the configurational path of OGD performance of local governments, this paper employs the technology-organization-environment (TOE) framework and the fuzzy set qualitative comparative analysis (fsQCA) to explore the key factors and configuration paths of OGD performance from the cases of 31 provincial OGD practice in China. Results indicate that OGD performance depends on the combination of technical, organizational, and external environment conditions, and that there exist substitution relationships among the various preconditions for the improvement of OGD performance, including information infrastructure, technology application capability, data resources, economic strength, policy regulations, and inter-government competition, as discussed in previous TOE based research. Specifically, seven configuration paths are identified to achieve high-level OGD performance, namely, Technology-Organization-Environment combined driven, Economy-Talent-Demand driven, Institution-Data-Policies driven, Institution-Economy-Demand driven, Organization-Policies-Competition driven, Data-Economy-Demand driven, and Data-Policies-Competition driven. This research is of particular significance to achieve high-level OGD performance for local governments with different resources and environments.
作者机构：
[Wang, Xuelin; Meng, Hua; Lu, Xinyuan] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Lu, Xinyuan] Cent China Normal Univ, Hubei Ecommerce Res Ctr, Wuhan 430079, Peoples R China.
通讯机构：
[Meng, H ] C;Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
关键词：
Open innovation community (OIC);implicit contract;knowledge contribution;user behavior;network position;structural holes;network centrality
摘要：
Open innovation communities (OICs) have been expanding the scope of enterprises’ innovation activities, and their effective functioning hinges on the ongoing knowledge contributions from users. However, the research on the impact of contractual governance mechanisms on users’ knowledge-contribution behaviors has yet to be further explored. In this study, we provide a comprehensive definition of implicit contracts in OICs, clarify their dimensions, investigate their impact on users’ knowledge contribution, and explore how users’ network positions moderate these effects. Subsequently, we employ a questionnaire survey combined with web crawling to collect user data and empirically test the theoretical hypotheses. The results demonstrate that both user-user implicit contracts (i.e., user reciprocity, user trust, and user recognition) and user-community implicit contracts (i.e., community incentives, community trust, and community support) significantly and positively affect user knowledge contribution. Furthermore, users’ structural holes exert a significant positive moderating effect on these relationships. Notably, the moderating effect of network centrality is only significant in the influence of user-community implicit contracts, and not significant in the relationship between user-user implicit contracts and user knowledge contribution. The insights derived from this study offer valuable practical guidance for effectively operating and managing OICs.
