Search results
1 – 10 of 192
TAIWAN: Elections will likely favour ruling party
Details
DOI: 10.1108/OXAN-ES283809
ISSN: 2633-304X
Keywords
Geographic
Topical
The election was a major milestone for the ruling Democratic Progressive Party (DPP), which won a third presidential term, a first for a Taiwanese party since direct elections…
Details
DOI: 10.1108/OXAN-DB284614
ISSN: 2633-304X
Keywords
Geographic
Topical
The DPP’s presidential candidate is Lai Ching-te, a former legislator and vice president of Tsai Ing-wen, who cannot seek a third term due to constitutional limitations. Lai will…
Details
DOI: 10.1108/OXAN-DB283956
ISSN: 2633-304X
Keywords
Geographic
Topical
The tender documents, an essential data source for internet-based logistics tendering platforms, incorporate massive fine-grained data, ranging from information on tenderee…
Abstract
Purpose
The tender documents, an essential data source for internet-based logistics tendering platforms, incorporate massive fine-grained data, ranging from information on tenderee, shipping location and shipping items. Automated information extraction in this area is, however, under-researched, making the extraction process a time- and effort-consuming one. For Chinese logistics tender entities, in particular, existing named entity recognition (NER) solutions are mostly unsuitable as they involve domain-specific terminologies and possess different semantic features.
Design/methodology/approach
To tackle this problem, a novel lattice long short-term memory (LSTM) model, combining a variant contextual feature representation and a conditional random field (CRF) layer, is proposed in this paper for identifying valuable entities from logistic tender documents. Instead of traditional word embedding, the proposed model uses the pretrained Bidirectional Encoder Representations from Transformers (BERT) model as input to augment the contextual feature representation. Subsequently, with the Lattice-LSTM model, the information of characters and words is effectively utilized to avoid error segmentation.
Findings
The proposed model is then verified by the Chinese logistic tender named entity corpus. Moreover, the results suggest that the proposed model excels in the logistics tender corpus over other mainstream NER models. The proposed model underpins the automatic extraction of logistics tender information, enabling logistic companies to perceive the ever-changing market trends and make far-sighted logistic decisions.
Originality/value
(1) A practical model for logistic tender NER is proposed in the manuscript. By employing and fine-tuning BERT into the downstream task with a small amount of data, the experiment results show that the model has a better performance than other existing models. This is the first study, to the best of the authors' knowledge, to extract named entities from Chinese logistic tender documents. (2) A real logistic tender corpus for practical use is constructed and a program of the model for online-processing real logistic tender documents is developed in this work. The authors believe that the model will facilitate logistic companies in converting unstructured documents to structured data and further perceive the ever-changing market trends to make far-sighted logistic decisions.
Details
Keywords
Ying Zhou, Yu Wang, Chenshuang Li, Lieyun Ding and Cong Wang
This study aimed to propose a performance-oriented approach of automatically generative design and optimization of hospital building layouts in consideration of public health…
Abstract
Purpose
This study aimed to propose a performance-oriented approach of automatically generative design and optimization of hospital building layouts in consideration of public health emergency, which intended to conduct reasonable layout design of hospital building to meet different performance requirements for both high efficiency during normal periods and low risk in the pandemic.
Design/methodology/approach
The research design follows a sequential mixed methodology. First, key points and parameters of hospital building layout design (HBLD) are analyzed. Then, to meet the requirements of high efficiency and low risk, adjacent preference score and infection risk coefficient are constructed as constraints. On this basis, automatic generative design is conducted to generate building layout schemes. Finally, multi-objective deviation analysis is carried out to obtain the optimal scheme of hospital building layouts.
Findings
Automatic generative design of building layouts that integrates adjacent preferences and infection risks enables hospitals to achieve rapid transitions between normal (high efficiency) and pandemic (low risk) periods, which can effectively respond to public health emergencies. The proposed approach has been verified in an actual project, which can help systematically explore the solution for better decision-making.
Research limitations/implications
The form of building layouts is limited to rectangles, and future work can explore conducting irregular layouts into optimization for the framework of generative design.
Originality/value
The contribution of this paper is the developed approach that can quickly and effectively generate more hospital layout alternatives satisfying high operational efficiency and low infection risk by formulating space design rules, which is of great significance in response to public health emergency.
Details
Keywords
Fuyun Zhu, Ying Gao and Xiaotun Chen
This study aims to explore the double-edged sword effect of work connectivity behavior after-hours (WCBA) on employees’ occupational mental health. Drawing on job demand-resource…
Abstract
Purpose
This study aims to explore the double-edged sword effect of work connectivity behavior after-hours (WCBA) on employees’ occupational mental health. Drawing on job demand-resource theory, the authors examined the double mediating mechanism of work autonomy and work-family conflict on the relationship of WCBA, work engagement and work burnout. At the same time, the authors examined the moderating role of responsiveness from superiors, hoping to clarify how WCBA brings employees positive experiences (engagement) or negative experiences (burnout).
Design/methodology/approach
Under the mediating mechanism of work autonomy and work-family conflict, the authors built a dual-path model and moderated mediation model to examine the effect of WCBA on work engagement and burnout. Two-stage paired data were collected from various industries in China by distributing questionnaires to employees. The hypotheses were tested using the structural equation model and the bootstrap test method.
Findings
The results showed that WCBA positively affects work engagement and burnout. Work autonomy plays a mediating role both in the relationship between WCBA and work engagement and in the relationship between WCBA and work burnout. In addition, work-family conflict plays a mediating role both in the relationship between WCBA and work burnout and in the relationship between WCBA and work engagement. Responsiveness from superiors not only moderated the relationship between WCBA and work autonomy and between WCBA and work-family conflict but also moderated the mediating effects of work autonomy and work-family conflict.
Originality/value
This study examined the double-edged sword effect of WCBA on employees’ occupational mental health, the dual mediation of work autonomy and work-family conflict and the moderating effect of responsiveness from superiors. This study can enrich the understanding of the effects of WCBA as well as the influential factors and boundary conditions related to employees’ occupational mental health. Organizations (represented by superiors) and individuals were integrated into one model, providing a new perspective for studying WCBA. The research will help managers and individuals gain a comprehensive understanding of WCBA, and how to enhance its positive effects and circumvent its negative effects.
Details
Keywords
Tiesheng Zhang, Ying Wang and Xiangfei Zeng
This paper takes Chinese A-share listed companies from 2007 to 2021 as research samples to investigate the influence of supplier concentration on debt maturity structure and its…
Abstract
Purpose
This paper takes Chinese A-share listed companies from 2007 to 2021 as research samples to investigate the influence of supplier concentration on debt maturity structure and its mechanism. It further analyzes whether the relationship between the two is different in the case of different monetary policies, collateral assets, and total debt. The research conclusion is of practical significance for enterprises to construct a balanced debt maturity structure and prevent financial risks.
Design/methodology/approach
This paper adopts the empirical research method. The data came from the CSMAR database, which eliminated ST and *ST and companies with missing data, resulting in a sample of 20,328. Stata16 was used for statistical analysis.
Findings
There is an inverted U-shaped relationship between supplier concentration and debt maturity structure, and market position and trade credit play an intermediary role. In the case of tight monetary policy, fewer collateral assets, and higher total debt, the inverse U-shaped relationship is more significant.
Originality/value
This paper examines the relationship between supplier concentration and debt maturity structure from a non-linear perspective for the first time, providing theoretical support for enterprises to form a reasonable debt structure, and deepening the theoretical cognition of the relationship between supplier concentration and corporate debt maturity structure.
Details
Keywords
Abstract
Purpose
This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in manufacturing firms.
Design/methodology/approach
The relationships are tested using an empirical method, constructing regression models, by collecting 1,240 manufacturing firms and 9,029 items listed on the A-share market in China from 2013 to 2020.
Findings
The results indicate that digital transformation has a positive effect on manufacturing companies’ labor income share. Technological innovation can mediate the effect of digital transformation on labor income share. Industry–university–research cooperation can positively moderate the promotion effect of digital transformation on labor income share but cannot moderate the mediating effect of technological innovation. Heterogeneity analysis also found that firms without service-based transformation and nonstate-owned firms are better able to increase their labor income share through digital transformation.
Originality/value
This study provides a new path to increase the labor income share of enterprises to achieve common prosperity, which is important for manufacturing enterprises to better transform and upgrade to achieve high-quality development.
Details
Keywords
Hung Nguyen, George Onofrei, Ying Yang, Kevin Nguyen, Mohammadreza Akbari and Hiep Pham
The manufacturing investment shift from developed countries to emerging and developing regions creates further needs for identifying appropriate green certification strategies…
Abstract
Purpose
The manufacturing investment shift from developed countries to emerging and developing regions creates further needs for identifying appropriate green certification strategies. This study proposes that alignments between green certification practices (GCRs) and process innovation (PIN) could help identify appropriate strategies that national economic development can influence.
Design/methodology/approach
Drawing on the diffusion of innovation theories, this study proposed a taxonomy to examine whether sustainable performance differs depending on the levels of alignment and the role of national economic development. The study uses an empirical survey approach to highlight alignments between GCRs and PIN among developed, developing and emerging economic nations, addressing resource allocation for the world's sustainable development goals (SDGs).
Findings
Manufacturers need to align PIN practices with the level of green certification to achieve sustainable performance. Manufacturers experiencing higher payoffs from various improvements successfully align in GCR and PIN. The alignment between these two concepts can derive different taxonomies, which highlight performance and managerial implications for manufacturers. The manufacturers followed three distinct typologies: minimalist, process active and proactive. Besides, building on the theory of performance frontiers, the findings indicated that manufacturers in developing and emerging economies placed the most substantial GCR effort compared to their counterparts in developed nations. Manufacturers in developed countries are increasingly reaching the “diminishing points” and investing limited resources in GCR just enough to keep their competitive positioning as order qualifiers rather than order winners. Developing economies are catching up very quickly in attaining GCRs and business performance.
Research limitations/implications
This insight is essential for managers to adapt to nations' economic development conditions and appropriately and effectively align resources.
Practical implications
The findings offer a decision-making process and provide straightforward guidelines for supply chain managers' green certification adoption.
Originality/value
In including both PIN and green certification, this paper adds greater comprehensiveness and richness to the supply chain literature.
Details
Keywords
The rise of the metaverse has brought profound changes to the economic and social operation models and injected new vitality into academic research. Although a large number of…
Abstract
Purpose
The rise of the metaverse has brought profound changes to the economic and social operation models and injected new vitality into academic research. Although a large number of studies have emerged, there are few quantitative analyses of development frontiers and trends.
Design/methodology/approach
From a bibliometric perspective, this paper selects 183 pieces of metaverse-related literature in the WoS core database since 2000 as the object of analysis. This paper sums up the characteristics of the literature using the methods of descriptive statistical analysis, keywords analysis, thematic evolution analysis and summarizes the core themes and the laws of metaverse development in each stage.
Findings
The digital economy vision brought by the metaverse has led to an increasing number of researchers and achievements in this field. But the depth and breadth of research are still insufficient and unevenly distributed in the region, and the cross-fertilization fields need to be expanded. From the industry's point of view, VR games represented by Second Life and My World have contributed to the popularity of the metaverse. As technology progresses, the research hotspots in the field of metaverse gradually develop from conceptual research to artificial intelligence, blockchain, NFT and other technical applications. However, academic research has not yet caught up with the industry's pace and stays more in the concept discussion and preliminary application stage.
Originality/value
A systematic overview of the current status, knowledge structure and hot issues of metaverse research is shown, which provides a thematic axis for this field, enriches and improves the quantitative analysis of its literature and provides a clear picture for researchers to continuously promote the development of this field. At the same time, it is necessary to warn that technological development is a double-edged sword. The process of metaverse development should return to rationality, respect the laws of its development and guarantee the healthy development of the metaverse by strengthening legal regulation and the ethical review of science and technology.
Details