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1 – 5 of 5Peixu He, Hanhui Zhou, Qiongyao Zhou, Cuiling Jiang and Amitabh Anand
Employees may adopt deceptive knowledge hiding (DKH) due to nonworking time information and communication technology (ICT) demands. Drawing from the conservation of resources…
Abstract
Purpose
Employees may adopt deceptive knowledge hiding (DKH) due to nonworking time information and communication technology (ICT) demands. Drawing from the conservation of resources (COR) theory, this study aims to develop and test a model of deceptive knowledge hiding (DKH) due to nonworking time information and communication technology (ICT) demands.
Design/methodology/approach
In total, 300 service employees have joined the three-wave surveys. Path analysis and bootstrapping methods were used to test the theoretical model.
Findings
Results suggest that knowledge requests during nonworking time could deplete employees’ resources and increase their tendency to engage in DKH, whereas work recovery and emotional exhaustion mediate this relationship. In addition, employees’ work–family segmentation preferences (WFSP) were found to moderate the direct effects of nonworking time ICT demands on employees’ work recovery and emotional exhaustion and the indirect effects of knowledge requests after working hours on DKH through employees’ work recovery and emotional exhaustion.
Originality/value
First, the findings of this study shed light on the relationship between knowledge requests during employees’ nonworking time and knowledge hiding, suggesting that knowledge hiding could occur beyond working hours. Second, drawing on COR theory, this study explored two joint processes of resource replenishment failure and depletion and how nonworking time ICT demands trigger knowledge hiding. Third, the interaction effect of individuals’ WFSP and nonworking time factors on knowledge hiding deepens the understanding of when nonworking time ICT demands may induce knowledge hiding through various processes.
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Abstract
Purpose
The purpose of this paper is to report a pilot project on quality control in China's government department (AQSIQ), based on an extended EFQM excellence model.
Design/methodology/approach
After careful comparisons, the EFQM Excellence Model was selected as the fundamental framework for further practice and analysis. The original Excellence Model was extended into three‐section style in the ongoing Super‐ministry Reform. The extended model includes decision‐making, implementation, and supervision. With a brief introduction on AQSIQ in current reform, the first quality control practice in China was investigated in terms of responsibilities, standards, supervision, and assessment. Achievements from quality control were obtained after analysis.
Findings
The extended Excellence Model enabled AQSIQ great achievements. This paper finds that, with the guidance under this extended model, a unified leadership with reallocation in people, policy, and partnership has significantly promoted the performance in decision‐making. Further, with regard to principle of simplicity as the key basis of process reengineering, the two‐way innovation and learning feedback mechanism in this model have simplified the process and enhanced knowledge process in the government. Finally, efficiency being the main focus in performance reassessment was also accomplished by this quality practice.
Practical implications
The initial success of AQSIQ has practical and managerial values. On the practical side, the implications in the AQSIQ case that are embodied in the ongoing Super‐ministry Reform in China help to shape fundamental quality control framework in China's government sectors. Two probable managerial enlightenments are for the theory of process engineering and the quality control in theoretical dimension. Therefore, this extended excellence model could further spread into other departments with careful considerations.
Originality/value
This is the first paper to research the first quality control practice in China's government department.
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Yuting Sun, Jieyu Ren, Gang Jin and Hanhui Hu
The Belt and Road Initiative (BRI) is the most comprehensive and substantial international cooperation platform, creating a new market influenced by economic and political…
Abstract
Purpose
The Belt and Road Initiative (BRI) is the most comprehensive and substantial international cooperation platform, creating a new market influenced by economic and political factors. In this paper, the authors aim to examine whether and how the BRI impacts the Chinese enterprises' corporate environmental responsibility (CER).
Design/methodology/approach
Based on China's listed firms' database from 2011 to 2018, the authors use the PSM-DID method, an econometrics method combined with propensity score matching (PSM) and difference-in-differences (DID), to conduct causal inference between the BRI and Chinese enterprises' CER and conduct a series of robustness analyses. Moreover, the authors explore the mechanisms underlying the main effect from both market and non-market perspectives.
Findings
The results suggest that the BRI significantly increases Chinese enterprises' CER. Further analyses show that market competition and government support are two possible mechanisms through which the BRI has an effect on the enterprises' CER.
Originality/value
The research study supplements existing work on the environmental effects of the BRI at a microlevel and adds to the literature on the drivers of CER. The findings offer valuable insights into governments and scholars by demonstrating that CER is a crucial tool for Chinese enterprises to gain a competitive advantage in the increasingly competitive markets along the BRI.
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This paper gives a review of the finite element techniques (FE) applied in the area of material processing. The latest trends in metal forming, non‐metal forming, powder…
Abstract
This paper gives a review of the finite element techniques (FE) applied in the area of material processing. The latest trends in metal forming, non‐metal forming, powder metallurgy and composite material processing are briefly discussed. The range of applications of finite elements on these subjects is extremely wide and cannot be presented in a single paper; therefore the aim of the paper is to give FE researchers/users only an encyclopaedic view of the different possibilities that exist today in the various fields mentioned above. An appendix included at the end of the paper presents a bibliography on finite element applications in material processing for 1994‐1996, where 1,370 references are listed. This bibliography is an updating of the paper written by Brannberg and Mackerle which has been published in Engineering Computations, Vol. 11 No. 5, 1994, pp. 413‐55.
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Balal Karimi, Majid Azadi, Reza Farzipoor Saen and Samuel Fosso Wamba
The objective of this study is to present a binary-valued data envelopment analysis (DEA) theory. The authors’ proposed approach, for the first time, combines binary-valued and…
Abstract
Purpose
The objective of this study is to present a binary-valued data envelopment analysis (DEA) theory. The authors’ proposed approach, for the first time, combines binary-valued and integer-valued theories concurrently in the DEA context. To do so, new production possibility sets (PPSs) with some distinguished features are developed.
Design/methodology/approach
The authors address integer inputs and outputs in the proposed approach by introducing a new PPS.
Findings
To take into account the binary data, the authors develop axiomatic DEA principles. The binary production principles guarantee any combination of convexity and feasibility. Furthermore, the authors develop a new DEA model to consider integer and real data. A case study is presented to show the usefulness of the developed models. Using the proposed models, the authors obtained benchmarks to solve the sustainable supplier selection problems.
Originality/value
(1) For the first time, binary-valued and integer-valued theories are presented in an integrated DEA model. (2) To deal with the pure binary data, a new PPS is proposed. (3) To consider real, integer and binary data, a new PPS is introduced. (4) New technologies are developed to propose feasible solutions. (5) The proposed models can project inefficient decision-making units (DMUs) on efficiency frontier given binary, integer and real data. (6) A case study is given for the performance evaluation of sustainable suppliers.
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