期刊：
Journal of Integrated Design & Process Science,2023年Preprint(Preprint):1-26 ISSN：1092-0617
作者机构：
School of Information Management, Wuhan University, Wuhan, China;School of Information Management, Central China Normal 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：
[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.
摘要：
To reduce the conceptual ambiguity in interdisciplinary knowledge organization systems (KOSs) and enhance interdisciplinary KOS management, this paper proposes a framework for interdisciplinary semantic drift (ISD) detection based on the normal cloud model (NCM). In this framework, we first analyze the features of interdisciplinary concepts and propose a novel interdisciplinary concept extraction method based on cross-discipline statistical information. Secondly, the high-performance knowledge representation model NCM is adopted to represent each interdisciplinary concept with uncertainty, and then a new ISD degree calculation method is proposed based on the similarity cloud algorithm. Thirdly, to identify the direction of ISD after the degree calculation, we propose an ISD direction identification method according to the theory of knowledge potential energy (KPE). Fourthly, based on the above procedure, we propose an ISD detection algorithm to identify and visualize the ISD process. Finally, we evaluate the proposed framework on the concept of "information entropy" and compare the performance with three baselines. Experimental results demonstrate that our framework outperforms[ all the baselines, and the result is comparable to experts' judgments (0.808 on Spearman correlation, p<0.001). The research indicates the meaning of an interdisciplinary concept will drift from the high KPE discipline to the low KPE discipline as long as interdisciplinary knowledge potential differences (KPD) exist between these two related disciplines. We further identify three key factors that affect the degree of ISD: the length of the discipline chain of an interdisciplinary concept transfer, the number of source disciplines that an interdisciplinary concept comes from, and the knowledge distance between the source discipline and the target discipline. & COPY; 2023 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access
摘要：
Users' search performance indicates the effectiveness and success with which users' information needs are met, which is calculated based on the relevance judgment by users themselves. This study proposed to explore the prediction of users' search performance in the context of cross-device search. A user experiment was performed to collect users' relevance judgments and search behaviors in cross-device search. Based on users' relevance judgments, users' search performance was evaluated by calculating the percentage of valid clicks, effective search time, nDCG@n, and satisfaction. A simple linear regression model was adopted to train the prediction model. The final results showed that a combination of users' search performance in pre-switch sessions and their search behavior in post-switch sessions can attain the best prediction accuracy. Important features to predict users' search performance in cross-device search shed light on improving search systems to aid users in completing the task efficiently.
作者机构：
[Tian, Lingkun; Zhou, Zijuan; Wang, Ping; Zhang, Jun; Zhang, Ning] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[Wang, Ping; Zhang, Jun] Cent China Normal Univ, Ecommerce Res Ctr Hubei Prov, Wuhan, Peoples R China.
通讯机构：
[Jun Zhang] S;School of Information Management, Central China Normal University, Wuhan, China<&wdkj&>E-commerce Research Center of Hubei Province, Central China Normal University, Wuhan, China
关键词：
Bi-objective optimization problem;Energy expenditure;Human-robot coordinated;Multi-objective evolutionary algorithms;Robotic mobile fulfilment system;Storage assignment problem
