Boyu Lin, Woojin Lee and Yunseon Choe
Local events play a significant role in rebuilding relationships and increasing engagement with local communities in the postpandemic. This study aims to investigate how potential…
Abstract
Purpose
Local events play a significant role in rebuilding relationships and increasing engagement with local communities in the postpandemic. This study aims to investigate how potential attendees’ usage of local event hashtags facilitates social media engagement, further enhancing their intentions to attend local events.
Design/methodology/approach
This study adopted an exploratory sequential mixed approach. The qualitative phase used 12 semistructured in-depth interviews to explore motivations for hashtag usage and developed instruments to measure hashtag usage and social media engagement. The quantitative phase examined the relationship among motivations and behaviors of hashtag usage, social media engagement and behavioral intention through 522 online surveys.
Findings
Qualitatively, four themes manifest in hashtag users’ motivations in the context of local events: self-promoting, searching, summarizing and conforming. The quantitative findings show that these motivations influence active and passive hashtag usage differently, leading to different types of social media engagement (i.e. persistent, customized and triggered engagement). All social media engagements can significantly enhance the intention to attend local events.
Originality/value
This study divides active and passive hashtag users, conceptualizes social media engagement through hashtag usage under the affordance approach and develops instruments for these concepts. It emphasizes the importance of hashtag usage that drives social media engagement and provides insights for local event planners.
研究目的
在后疫情时期, 本地活动在重建关系和增加与当地社区的参与方面发挥着重要作用。本研究调查了潜在参与者对当地活动话题标签的使用如何促进社交媒体的参与, 进一步增强了他们参加当地活动的意愿。
研究方法
本研究采用了一种探索性的顺序混合方法。定性阶段采用了12次半结构化的深度访谈, 以探讨话题标签使用的动机, 并开发了用于测量话题标签使用和社交媒体参与的量表。定量阶段通过522份在线调查研究了动机与话题标签使用、社交媒体参与和行为意向之间的关系。
研究发现
在定性研究中, 话题标签用户的动机在当地活动背景下表现为四个主题:自我推广、搜索、总结和顺应。定量研究结果显示, 这些动机以不同方式影响主动和被动话题标签使用, 从而导致不同类型的社交媒体参与(即持续型、定制型和触发型参与)。所有社交媒体参与都能显著增强参加当地活动的意愿。
研究创新
本研究区分了主动和被动话题标签用户, 通过能力方法构想了话题标签使用下的社交媒体参与, 并为这些概念开发了测量工具。本研究强调了推动社交媒体参与的话题标签使用的重要性, 并为当地活动策划者提供了见解。
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Hengqin Wu, Geoffrey Shen, Xue Lin, Minglei Li, Boyu Zhang and Clyde Zhengdao Li
This study proposes an approach to solve the fundamental problem in using query-based methods (i.e. searching engines and patent retrieval tools) to screen patents of information…
Abstract
Purpose
This study proposes an approach to solve the fundamental problem in using query-based methods (i.e. searching engines and patent retrieval tools) to screen patents of information and communication technology in construction (ICTC). The fundamental problem is that ICTC incorporates various techniques and thus cannot be simply represented by man-made queries. To investigate this concern, this study develops a binary classifier by utilizing deep learning and NLP techniques to automatically identify whether a patent is relevant to ICTC, thus accurately screening a corpus of ICTC patents.
Design/methodology/approach
This study employs NLP techniques to convert the textual data of patents into numerical vectors. Then, a supervised deep learning model is developed to learn the relations between the input vectors and outputs.
Findings
The validation results indicate that (1) the proposed approach has a better performance in screening ICTC patents than traditional machine learning methods; (2) besides the United States Patent and Trademark Office (USPTO) that provides structured and well-written patents, the approach could also accurately screen patents form Derwent Innovations Index (DIX), in which patents are written in different genres.
Practical implications
This study contributes a specific collection for ICTC patents, which is not provided by the patent offices.
Social implications
The proposed approach contributes an alternative manner in gathering a corpus of patents for domains like ICTC that neither exists as a searchable classification in patent offices, nor is accurately represented by man-made queries.
Originality/value
A deep learning model with two layers of neurons is developed to learn the non-linear relations between the input features and outputs providing better performance than traditional machine learning models. This study uses advanced NLP techniques lemmatization and part-of-speech POS to process textual data of ICTC patents. This study contributes specific collection for ICTC patents which is not provided by the patent offices.
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Xiaodong Yu, Zhiyuan Lan, Xiuli Meng, Peng Wang, Yanlong Lin, Boyu Du, Mingjuan Shao, Xinyi Yang, Ruichun Dai, Wentao Jia, Junfeng Wang, Hui Jiang and Jian-Hua Jiao
The purpose of this study is to investigate the influence of rotational speed on the oil film stability of the hydrostatic rotary table having double rectangular oil pads. The oil…
Abstract
Purpose
The purpose of this study is to investigate the influence of rotational speed on the oil film stability of the hydrostatic rotary table having double rectangular oil pads. The oil film stability is evaluated based on the oil film stiffness under constant load condition and the displacement response amplitude of the oil film under disturbance load condition.
Design/methodology/approach
The oil film stability theoretical equations of the double rectangular oil cavity are deduced such as oil film stiffness, damping and dynamic equations. A simulation model is developed to analyze the relationship among oil film temperature, oil film pressure fields and oil film stability. The user-defined function programs are used to control the rotational speed, lubricant viscosity and oil film thickness during the simulation. In addition, an experimental rig is built to test the simulation results.
Findings
This study shows that oil film stability decreases with increasing rotational speed under constant load and disturbance load. The trend of oil film stability decreased slowly within 30 r/min, and then rapidly. However, since the hydrodynamic pressure effect, the decrease rate of stability is mitigated under constant load and high rotational speeds.
Originality/value
The conclusions can provide a theoretical basis for improving the oil film stability of machines with similar hydrostatic support structure.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2024-0267/
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This study examines the stock market efficiency in China to offer trading strategy guidance to investors and efficiency evaluation insight to policymakers.
Abstract
Purpose
This study examines the stock market efficiency in China to offer trading strategy guidance to investors and efficiency evaluation insight to policymakers.
Design/methodology/approach
This study examines the stock market efficiency in China with a new combined liquidity trading strategy by blending technical analysis into a liquidity buy-and-hold strategy.
Findings
Our results show that the combined strategy generates significant excess returns in the whole sample period, suggesting that the Chinese stock market is not consistent with the weak form efficient hypothesis. In addition, the combined strategy yields more significant risk-adjusted excess returns after the 2004 split-share reform, indicating the stock market efficiency in China does not exhibit a distinct upgrade after the reform. Our further test results reinforce the main conclusions after taking transaction costs, market states, short-selling reform and other issues into consideration.
Originality/value
Our study contributes to the literature in two ways: First, we shed light on the mixed documented results about the market efficiency form in China. Second, we contribute to the mixed relation between the 2004 split-share reform and market efficiency in China.
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Yunzhou Gu, Boyu Yuan and Liang Li
The purpose of this paper is to review the application of digital holography in studies of the corrosion of metallic materials.
Abstract
Purpose
The purpose of this paper is to review the application of digital holography in studies of the corrosion of metallic materials.
Design/methodology/approach
Digital holography is used for in situ observation of the dynamic processes at the electrode | electrolyte interface and on the electrode surface during the corrosion dissolution of metallic materials.
Findings
Digital holography is an effect method to in situ observe the corrosion processes, and it can provide a direct experimental foundation for studying the corrosion mechanism.
Originality/value
Even though there are several challenges, digital holography will play a significant role in studying corrosion processes.
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The power vacuum in Europe after World War II induced the United States and the Soviet Union to seek European allies against one another (an action that neorealists would describe…
Abstract
The power vacuum in Europe after World War II induced the United States and the Soviet Union to seek European allies against one another (an action that neorealists would describe as “external balancing”). The disparate geopolitical circumstances facing the two super powers were bound to have some effect on the types of alliances they sought. In the United States, many officials and legislators initially were reluctant to maintain a permanent military presence in Europe. They planned instead to help the West European states themselves acquire the wherewithal to sustain a viable balance against the Soviet Union. Not until after the outbreak of the Korean War in June 1950 did U.S. perceptions of the Soviet threat change enough to generate wide spread support for a huge increase in the U.S. military commitment to Western Europe. By that point, U.S. officials already sensed, from the Berlin crisis of 1948‐49, that the United States would need an extensive network of military bases in Western Europe if it wished to deter or rebuff Soviet probes on the continent. The increased deployment of U.S. troops and weapons in Europe from late 1950 on was geared toward that end, and was also intended to reassure the West Europeans of the strength of the U.S. commitment to their defense. That commitment had been nominally codified in April 1949 ‐ primarily at the West Europeans’ initiative ‐ with the establishment of the North Atlantic Treaty Organization (NATO), but it was not until the early 1950s, after the shock of Korea, that the United States began putting up the resources needed to fulfill its military obligations to NATO.
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Preeti Bhaskar and Puneet Kumar Kumar Gupta
This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked…
Abstract
Purpose
This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked to talk as widely as possible about the perceived benefits, limitations of ChatGPT in management education and strategies to improve ChatGPT for management education. Also, shedding light on what motivates or inhibits them to use ChatGPT in management education in the Indian context.
Design/methodology/approach
Interpretative phenomenological analysis commonly uses purposive sampling. In this research, the purpose is to delve into educators’ perspectives on ChatGPT in management education. The data was collected from the universities offering management education in Uttarakhand, India. The final sample size for the study was constrained to 57 educators, reflecting the point of theoretical saturation in data collection.
Findings
The present study involved educators discussing the various advantages of using ChatGPT in the context of management education. When educators were interviewed, their responses were categorized into nine distinct sub-themes related to the benefits of ChatGPT in management education. Similarly, when educators were asked to provide their insights on the limitations of using ChatGPT in management education, their responses were grouped into six sub-themes that emerged during the interviews. Furthermore, in the process of interviewing educators about potential strategies to enhance ChatGPT for management education, their feedback was organized into seven sub-themes, reflecting the various approaches suggested by the educators.
Research limitations/implications
In the qualitative study, perceptions and experiences of educators at a certain period are captured. It would be necessary to conduct longitudinal research to comprehend how perceptions and experiences might change over time. The study’s exclusive focus on management education may not adequately reflect the experiences and viewpoints of educators in another discipline. The findings may not be generalizable and applicable to other educational disciplines.
Practical implications
The research has helped in identifying the strengths and limitations of ChatGPT as perceived by educators for management education. Understanding educators’ perceptions and experiences with ChatGPT provided valuable insight into how the tool is being used in real-world educational settings. These insights can guide higher education institutions, policymakers and ChatGPT service providers in refining and improving the ChatGPT tool to better align with the specific needs of management educators.
Originality/value
Amid the rising interest in ChatGPT’s educational applications, a research gap exists in exploring educators’ perspectives on AI tools like ChatGPT. While some studies have addressed its role in fields like medical, engineering, legal education and natural sciences, the context of management education remains underexplored. This study focuses on educators’ experiences with ChatGPT in transforming management education, aiming to reveal its benefits, limitations and factors influencing adoption. As research in this area is limited, educators’ insights can guide higher education institutions, ChatGPT providers and policymakers in effectively implementing ChatGPT in Indian management education.
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Dan Florin Stănescu, Valeriu Frunzaru and Oana Stefanita
This study aims to investigate the intricate relations between self-regulated learning, life-long learning and academic self-efficacy, while also evaluating the mediating…
Abstract
Purpose
This study aims to investigate the intricate relations between self-regulated learning, life-long learning and academic self-efficacy, while also evaluating the mediating influence of future time orientation.
Design/methodology/approach
Utilizing a cross-sectional research design, data were amassed from 2,943 Romanian secondary school students in 11th and 12th grades via structured questionnaires: the self-regulated learning questionnaire, the academic self-efficacy scale, the future orientation scale derived from the Zimbardo time perspective inventory (ZTPI) and the lifelong learning scale.
Findings
The findings corroborate that self-regulated learning and academic self-efficacy when mediated by future time orientation, bolster life-long learning.
Practical implications
These results indicate that enhancing comprehension of future time orientation within the educational framework could potentially boost life-long learning.
Originality/value
This work is an original contribution, synthesizing existing literature, empirical findings and theoretical frameworks to advance our understanding of the multifaceted relationships shaping individuals' learning journey throughout their lives. Our focus on the mediating influence of future orientation adds a novel dimension to understanding the mechanisms through which individuals actively engage in learning throughout their lives.