Aim/Purpose: This paper aims to investigate and understand the intentions of management undergraduate students in Hangzhou, China, regarding the adoption of Artificial Intelligence (AI) technologies in their education. It addresses the need to explore the factors influencing AI adoption in the educational context and contribute to the ongoing discourse on technology integration in higher education. Background: The paper addresses the problem by conducting a comprehensive investigation into the perceptions of management undergraduate students in Hangzhou, China, regarding the adoption of AI in education. The study explores various factors, including Perceived Relative Advantage and Trialability, to shed light on the nuanced dynamics influencing AI technology adoption in the context of higher education. Methodology: The study employs a quantitative research approach, utilizing the Confirmatory Tetrad Analysis (CTA) and Partial Least Squares Structural Equation Modeling (PLS-SEM) methodologies. The research sample consists of management undergraduate students in Hangzhou, China, and the methods include data screening, principal component analysis, confirmatory tetrad analysis, and evaluation of the measurement and structural models. We used a random sampling method to distribute 420 online, self-administered questionnaires among management students aged 18 to 21 at universities in Hangzhou. Contribution: This paper explores how management students in Hangzhou, China, perceive the adoption of AI in education. It identifies factors that influence AI adoption intention. Furthermore, the study emphasizes the complex nature of technology adoption in the changing educational technology landscape. It offers a thorough comprehension of this process while challenging and expanding the existing literature by revealing the insignificant impacts of certain factors. This highlights the need for an approach to AI integration in education that is context-specific and culturally sensitive. Findings: The study highlights students’ positive attitudes toward integrating AI in educational settings. Perceived relative advantage and trialability were found to impact AI adoption intention significantly. AI adoption is influenced by social and cultural contexts rather than factors like compatibility, complexity, and observability. Peer influence, instructor guidance, and the university environment were identified as pivotal in shaping students’ attitudes toward AI technologies. Recommendations for Practitioners: To promote the use of AI among management students in Hangzhou, practitioners should highlight the benefits and the ease of testing these technologies. It is essential to create communication strategies tailored to the student’s needs, consider cultural differences, and utilize the influence of peers and instructors. Establishing a supportive environment within the university that encourages innovation through policies and regulations is vital. Additionally, it is recommended that students’ attitudes towards AI be monitored constantly, and strategies adjusted accordingly to keep up with the changing technological landscape. Recommendation for Researchers: Researchers should conduct cross-disciplinary and cross-cultural studies with qualitative and longitudinal research designs to understand factors affecting AI adoption in education. It is essential to investigate compatibility, complexity, observability, individual attitudes, prior experience, and the evolving role of peers and instructors. Impact on Society: The study’s insights into the positive attitudes of management students in Hangzhou, China, toward AI adoption in education have broader societal implications. It reflects a readiness for transformative educational experiences in a region known for technological advancements. However, the study also underscores the importance of cautious integration, considering associated risks like data privacy and biases to ensure equitable benefits and uphold educational values. Future Research: Future research should delve into AI adoption in various academic disciplines and regions, employing longitudinal designs and qualitative methods to understand cultural influences and the roles of peers and instructors. Investigating moderating factors influencing specific factors’ relationship with AI adoption intention is essential for a comprehensive understanding.

In the context of US universities where student evaluations of teaching play an important role in the retention and promotion of faculty, it is important to understand what a student expects in the classroom. This study took the perspective of Perry's cognitive development scheme with the following research question: what is the Perry level of cognitive development of business students? An established survey was used at two different universities. It was found that the median was position 3, and that there was large variation in three dimensions. First is the variation across program levels. Second, there was variation across universities. This becomes an issue when instructors move to a different university and questions the possibility to transfer 'best practices'. Third, variation was found within a specific program level. This means that instructors are faced with students who, from a cognitive perspective, have different demands which are unlikely to be simultaneously met.

Aim/Purpose: This study examines the impact of the Israeli National Program on pre-service teachers’ skills in the integration of ICT in teaching and discusses the influential factors of successful implementation of practices in the field. Background: In the current Information Age, many countries relate to education as an im-portant factor for national growth. Teacher education plays a significant role in coping with the challenge of educating a new generation of school students to compete in a technology-driven society. In 2011, the Israel Ministry of Education initiated the National Program for transforming teacher education colleges to meet the demands of the 21st century. Methodology: The study focuses on two research questions: (1) What was the impact of the National Program on pre-service teacher training concerning the integration of ICT in their teaching? (2) What are the predictors of the pre-service teachers’ practice of ICT integration in teaching? It is a quantitative study, based on data collected in two rounds two years apart that compares several indices of pre-service teachers’ preparation to teach with ICT. Contribution: The findings offer insights regarding influential factors of successful integration of ICT in education. Findings: Analyses showed a significant increase in most of the indices of teacher training according to the National Program, in particular in the number of ICT-based lessons that pre-service teachers taught in their teaching practice at schools. Predictors of ICT integration in teaching were modeling by faculty members and school mentor teachers, the number of ICT-based lessons taught by pre-service teachers, and pre-requisite conditions at schools and colleges. Recommendations for Practitioners: The current challenge is to promote innovative ICT-based teaching methods among teacher educators, school teacher mentors, and pre-service teachers. Recommendation for Researchers: The findings underscore the importance of modelling by the school mentors as well as pre-requisite conditions at schools. Impact on Society: Being acquainted with the most influential factors of successful integration of ICT in teaching by pre-service teachers can improve teacher education as well as the education system in educating future generations. Future Research: More research is needed to learn about the dissemination of innovative models of ICT integration in teaching by pre-service teachers and their educators.

Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student’s grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer field, to analyze human learning processes and mistakes. In addition, showing Artificial Intelligence learning processes, with and without a general overview of the problem that it is under examination. Applying the idea of the general perspective that the network gets on the sentences and deriving recommendations from this for teaching processes. Background: We looked for common patterns of computer errors and human grammar mistakes. Also deducing the neural network’s learning process, deriving conclusions, and applying concepts from this process to the process of human learning. Methodology: We used DL technologies and research methods. After analysis, we built models from three types of complex neuronal networks – LSTM, Bi-LSTM, and GRU – with sequence-to-sequence architecture. After this, we combined the sequence-to- sequence architecture model with the attention mechanism that gives a general overview of the input that the network receives. Contribution: The cost of computer applications is cheaper than that of manual human effort, and the availability of a computer program is much greater than that of humans to perform the same task. Thus, using computer applications, we can get many desired examples of mistakes without having to pay humans to perform the same task. Understanding the mistakes of the machine can help us to under-stand the human mistakes, because the human brain is the model of the artificial neural network. This way, we can facilitate the student learning process by teaching students not to make mistakes that we have seen made by the artificial neural network. We hope that with the method we have developed, it will be easier for teachers to discover common mistakes in students’ work before starting to teach them. In addition, we show that a “general explanation” of the issue under study can help the teaching and learning process. Findings: We performed the test case on the Hebrew language. From the mistakes we received from the computerized neuronal networks model we built, we were able to classify common human errors. That is, we were able to find a correspondence between machine mistakes and student mistakes. Recommendations for Practitioners: Use an artificial neural network to discover mistakes, and teach students not to make those mistakes. We recommend that before the teacher begins teaching a new topic, he or she gives a general explanation of the problems this topic deals with, and how to solve them. Recommendations for Researchers: To use machines that simulate the learning processes of the human brain, and study if we can thus learn about human learning processes. Impact on Society: When the computer makes the same mistakes as a human would, it is very easy to learn from those mistakes and improve the study process. The fact that ma-chine and humans make similar mistakes is a valuable insight, especially in the field of education, Since we can generate and analyze computer system errors instead of doing a survey of humans (who make mistakes similar to those of the machine); the teaching process becomes cheaper and more efficient. Future Research: We plan to create an automatic grammar-mistakes maker (for instance, by giving the artificial neural network only a tiny data-set to learn from) and ask the students to correct the errors made. In this way, the students will practice on the material in a focused manner. We plan to apply these techniques to other education subfields and, also, to non-educational fields. As far as we know, this is the first study to go in this direction ‒ instead of looking at organisms and building machines, to look at machines and learn about organisms.

Aim/Purpose: The main aim of the research is to examine the performance of second language English speaking students enrolled in the Business Statistics course and to investigate the academic performance of students when taught under the constructivist and non-constructivist approaches in a classroom environment. Background: There are different learning theories that are established based on how students learn. Each of these theories has its own benefits based on the different type of learners and context of the environment. The students in this research are new to the University environment and to a challenging technical course like Business Statistics. This research has been carried out to see the effectiveness of the constructivist approach in motivating and increasing the student engagement and their academic performance. Methodology : A total of 1373 students were involved in the quasi-experiment method using Stratified Sampling Method from the year 2015 until 2016. Contribution: To consider curriculum adjustments for first year programs and implications for teacher education. Findings: The t-test for unequal variances was used to understand the mean score. Results indicate students have high motivation level and achieve higher mean scores when they are taught using the constructivist teaching approach compared to the non-constructivist teaching approach. Recommendations for Practitioners: To consider the challenges faced by first year students and create a teaching approach that fits their needs. Recommendation for Researchers: To explore in depth other teaching approaches of the Business Statistics course in improving students’ academic performance. Impact on Society : The constructivist approach will enable learning to be enjoyable and students to be more confident. Future Research: The research will assist other lectures teaching Business Statistics in creating a more conducive environment to encourage second language English speaking students to overcome their shyness and be more engaged.

Aim/Purpose: This paper introduces a Social Machine for collaborative sensemaking that the developers have configured to the requirements and challenges of transdisciplinary literature reviews. Background: Social Machines represent a promising model for unifying machines and social processes for a wide range of purposes. A development team led by the author is creating a Social Machine for activities that require users to combine pieces of information from multiple online sources and file types for various purposes. Methodology: The development team has applied emergent design processes, usability testing, and formative evaluation in the execution of the product road map. Contribution: A major challenge of the digital information age is how to tap into large volumes of online information and the collective intelligence of diverse groups to generate new knowledge, solve difficult problems, and drive innovation. A Transdisciplinary Social Machine (TDSM) enables new forms of interactions between humans, machines, and online content that have the potential to (a) improve outcomes of sensemaking activities that involve large collections of online documents and diverse groups and (b) make machines more capable of assisting humans in their sensemaking efforts. Findings: Preliminary findings suggest that TDSM promotes learning and the generation of new knowledge. Recommendations for Practitioners: TDSM has the potential to improve outcomes of literature reviews and similar activities that require distilling information from diverse online sources. Recommendation for Researchers: TDSM is an instrument for investigating sensemaking, an environment for studying various forms of human and machine interactions, and a subject for further evaluation. Impact on Society: In complex areas such as sustainability and healthcare research, TDSM has the potential to make decision-making more transparent and evidence-based, facilitate the production of new knowledge, and promote innovation. In education, TDSM has the potential to prepare students for the 21st century information economy. Future Research: Research is required to measure the effects of TDSM on cross-disciplinary communication, human and machine learning, and the outcomes of transdisciplinary research projects. The developers are planning a multiple case study using design-based research methodology to investigate these topics.

Aim/Purpose: This paper examines the impact of the transformational, servant, and paternalistic leadership styles on employee performance at the middle and senior levels. Background: Transdisciplinary research promotes the integration and development of various sciences. It provides more choices for leaders to adopt ways and practical activities to promote enterprise development. Complexity leadership theory emphasizes that effectively functioning organizations need distinct forms of leadership to work together. Leaders rely on different leadership practices in an emergent collaborative context, and finding an optimal balance is challenging. Many scholars have attempted to explore which leadership styles have a more significant impact on employees by distinguishing and defining types of leadership styles and explaining the process by which they influence employee behavior and performance. Various scholars have further explored and empirically demonstrated the impact of these three types of leadership styles (transformational, servant, paternalistic)on employee performance. While transformational and servant leadership have their roots in the West, paternalistic leadership has roots in China. Few scholars have conducted comparative studies on their positive impact on employee performance. How do these three leadership styles affect employee performance at the middle and senior levels in the Chinese context? Which combination of middle and senior leadership styles performs best? These are the second area that this paper will attempt to explore. Methodology: This study constructs a three-tier model at the senior, middle, and grassroots levels. A questionnaire survey was used to collect data. SPSS 22.0 and Amos were used for data analysis. Contribution: Through its construction of a three-tier model (senior, middle, and grassroots levels), the paper explores the combined effect of three leadership styles (transformational, servant, and paternalistic) on grassroots employees. It explores the impact of senior leaders across levels on grassroots employee performance, which is expected to provide a valuable addition to theories on leadership styles. It is also instructive to examine which leadership style performs better and what middle and senior leadership configurations are more conducive to driving beneficial employee behavior and, ultimately, corporate growth. Findings: The transformational, servant, and paternalistic leadership styles, both at the top and middle levels, have a significant positive relationship with employee performance; the middle leadership style plays a positive mediating role between the top leadership style and employee performance. In terms of impact on employee performance, transformational leadership shows the best results at both the top and middle levels, with paternalistic leadership second and servant leadership at the same level. Regarding which middle and senior leadership style pairing is the best, the sample is relatively small, and the gap between various pairing combinations is not evident from the data. If the sample size is enlarged, the coefficient will likely expand year-on-year. Therefore, we can assume that the pairing effect of top servant leadership and middle transformational leadership is the best, top paternalistic leadership and middle transformational leadership is the second-best, and the combination of top paternalistic leadership and middle-level servant leadership leaders is the weakest. Recommendation for Researchers: This paper extends the study of top and middle leadership’s combined effect on employee performance as a positive response to the call for multi-layer or cross-layer analysis in leadership research. The findings further enrich the literature on leadership style-related theories. The middle leadership style plays a positive mediating role between the top leadership style and employee performance. The trickle-down effect is further verified, i.e., the top leadership will have a permeating influence on employees through the middle leadership, and the top’s influence on the middle is generally more significant than the influence on grassroots employees. However, the difference between the influence of the middle leadership on the grassroots and that of the top on the grassroots is not apparent, which is inconsistent with the trickle-down effect that the middle leadership communicates more with the grassroots and has more influence on the grassroots, and further verification is needed. All three types of leaders positively affected employee performance, with the best being transformational leadership, paternalistic leadership, and servant leadership. This finding is consistent with some scholars and inconsistent with some scholars. The interested scholars can do further research. The better performance of diverse pairings in middle and senior leadership combinations is consistent with previous research suggesting that leadership styles have their own strengths and can be complementary. This paper further provides a comparative study of multiple leadership styles to validate the recognition and adaptability of leadership styles and further explain the complex relationship between leadership styles and employee job performance. Scholars can conduct comparative research on other leadership styles, and there may be different results. Future Research: Because of the cross-sectional data taken, the findings’ generalizability still needs further validation. There are many types of leadership styles, and there are other types of leadership styles that can be explored comparatively, perhaps leading to different findings. From another point of view, various leaders have their strengths, and they are not mutually hindering. More research is needed on team formation in a variety of contexts. Organic organizational structure enables knowledge creation and integration through the process of organizational learning through deep and continuous social interaction or dialogue. So we can further examine the influence process of leaders on employees from how to give full play to their advantages, such as improving shared leadership and shared communication.

Aim/Purpose: The amount of information published has increased dramatically due to the information explosion. The issue of managing information as it expands at this rate lies in the development of information extraction technology that can turn unstructured data into organized data that is understandable and controllable by computers Background: The primary goal of named entity recognition (NER) is to extract named entities from amorphous materials and place them in pre-defined semantic classes. Methodology: In our work, we analyze various machine learning algorithms and implement K-NN which has been widely used in machine learning and remains one of the most popular methods to classify data. Contribution: To the researchers’ best knowledge, no published study has presented Named entity recognition for the Kikuyu language using a machine learning algorithm. This research will fill this gap by recognizing entities in the Kikuyu language. Findings: An evaluation was done by testing precision, recall, and F-measure. The experiment results demonstrate that using K-NN is effective in classification performance. Recommendation for Researchers: With enough training data, researchers could perform an experiment and check the learning curve with accuracy that compares to state of art NER. Future Research: Future studies may be done using unsupervised and semi-supervised learning algorithms for other resource-scarce languages.

Aim/Purpose: The purpose of this study is to determine the impact of pre-listening activities on Arabic-speaking EFL learners’ comprehension of spoken texts. Background: This study aims to contribute to the current research and to increase our understanding about the effectiveness of pre-listening activities. Specifically, this study seeks to clarify some of the research in this area that seems to be incongruent. Methodology: The study investigates two widely implemented activities in second language (L2) classrooms: vocabulary preteaching and content previewing. Ninety-three native-Arabic speaking EFL learners, whose proficiently levels were beginner, intermediate, or advanced, were randomly assigned to a control group or one of three experimental groups: the vocabulary-only (VO) group, content-only (CO) group, or vocabulary + content (VC) group. Each of the experimental groups received one of the treatments to determine which pre-listening activity was more effective and whether additional pre-listening activities yield additional comprehension. Listening comprehension of the aural text was measured by a test comprising 13 multiple-choice and true-false questions. Contribution: The present study provided additional explanations regarding the long-standing contradicting results about vocabulary preteaching and content previewing. Findings: The results showed that pre-listening activities had a positive impact on Arabic-speaking EFL learners’ listening comprehension, with the VO group significantly increasing their scores on the posttest compared to those of the control or other groups. Vocabulary preteaching was particularly beneficial for more advanced learners. With regard to which pre-listening activity contributed the most to better listening comprehension, vocabulary preteaching was the most effective. Content previewing did not increase comprehension for the CO group and had no additional benefit for the VC group. Recommendation for Researchers: This paper recommends that researchers explore new pre-listening activities that have never studied. Future research should be extended to include other nations and contextual situations to extend our knowledge about the effect of pre-listening activities. As far as listening comprehension can only be achieved when listeners are attentive and engaged, the listening text should be interesting and the lexical coverage of the listening text should be appropriate for all participants. Future Research: The results are to be interpreted carefully because they are limited by the students’ L2 proficiency, demographic, and cultural backgrounds (i.e., first language (L1) proficiency, age, gender, Middle Eastern culture). Results might be quite different if the study was conducted with different populations who have different life and language learning experiences (Vandergrift & Baker, 2015). Therefore, the results of this study indicate there is much room for improvement and a need for further research.

Nan WU,Xiaocong LAI,Mei CHEN,Ying PAN, Vol.E107-D, No.11, pp.1433-1443
With the development of the Semantic Web, an increasing number of researchers are utilizing ontology technology to construct domain ontology. Since there is no unified construction standard, ontology heterogeneity occurs. The ontology matching method can fuse heterogeneous ontologies, which realizes the interoperability between knowledge and associates to more relevant semantic information. In the case of differences between ontologies, how to reduce false matching and unsuccessful matching is a critical problem to be solved. Moreover, as the number of ontologies increases, the semantic relationship between ontologies becomes increasingly complex. Nevertheless, the current methods that solely find the similarity of names between concepts are no longer sufficient. Consequently, this paper proposes an ontology matching method based on semantic association. Accurate matching pairs are discovered by existing semantic knowledge, and then the potential semantic associations between concepts are mined according to the characteristics of the contextual structure. The matching method can better carry out matching work based on reliable knowledge. In addition, this paper introduces a probabilistic logic repair method, which can detect and repair the conflict of matching results, to enhance the availability and reliability of matching results. The experimental results show that the proposed method effectively improves the quality of matching between ontologies and saves time on repairing incorrect matching pairs. Besides, compared with the existing ontology matching systems, the proposed method has better stability.
Publication Date: 2024/11/01

Product innovation has become a crucial part of the sustainability of the coconut agro-industry in Indonesia, covering upstream and downstream sides. To overcome this challenge, it is necessary to create several model stages using a hybrid method that combines machine learning based on multiple criteria decision making and mass balance analysis. The research case study was conducted in Tembilahan district, Riau province, Indonesia, one of the primary coconut producers in Indonesia. The analysis results showed that potential products for domestic customers included coconut milk, coconut cooking oil, coconut chips, coconut jelly, coconut sugar, and virgin coconut oil. Furthermore, considering the experts, the most potential product to be developed was coconut sugar with a weight of 0.26. Prediction of coconut sugar demand reached 13,996,607 tons/year, requiring coconut sap as a raw material up to 97,976,249.

Power in business schools is ubiquitous. We develop individuals for powerfull positions. Yet, the way we deal with power is limited by our utilitarian focus, avoiding the visceral nature of power. In relation to this we address two questions business schools don't ask: what is the experiential nature of power? How are we teaching power? We use experiential, aesthetic developments on power in the social sciences to critique the rational-utilitarian stance on power found in business schools, drawing on the work of Dewey and French philosopher Levinas to treat power as a lived phenomenon. We overview and critique approaches to teaching power in business curricula informed by our own research on Executive MBA students learning through choral conducting. Taking an appreciative-positive stance, this research showed students developing new, non-rational, non-utilitarian understandings of power. They developed nuanced learning on the feeling, relationality and responsibility of exercising power. Coming out of this we argue for more experiential and reflexive learning methods to be applied to the phenomena of power. Finally we shine a reflexive light on ourselves and our 'power to profess', suggesting ways we can change our own practice to better prepare our students for the power they wield.

N/A -- no abstracts in FTEs I believe

This study investigates Anglo expatriate managers learning, knowledge acquisition, and adjustment to the host culture when working within Anglo multi-national companies operating in China. A structural equation model based on data from 121 expatriate managers reveal that Anglo managers adjust more effectively when their learning styles are congruent with the demands of the host culture. Their levels of accumulated managerial tacit knowledge and adaptive flexibility were also associated with their learning styles which in turn led to more effective adjustment to the host culture. Implications for theory, global manager development, and expatriate management are provided.

This book centers on the author's discovery, and moral disapproval, of expedient arrangements adopted by American firms in China, through which 'middlemen', operating as independent agents, pay bribes as part and parcel of the troublesome process of negotiating and clinching business deals there.

Female corporate leadership has drawn increasing attention from academia and practitioners. We contribute to the literature by examining the impact of CEO succession with gender change—i.e., a male CEO succeeded by a female or vice versa. We propose that due to gender differences in executive leadership positions, CEO succession with gender change may amplify the disruption of the CEO succession process and thus adversely affect post-succession firm performance and increase the likelihood of successor early departure. Using data from 3,320 CEO successions in companies listed in China's Shanghai and Shenzhen Stock Exchanges from 1997 to 2010, we find evidence to support this argument. We also find that the negative (positive) impact of male-to-female succession on firm performance (the likelihood of successor early departure) may be weakened by positive organizational attitudes toward female leadership as indicated by the presence of other female leaders on the firm's board of directors and/or top management team, and the successor's inside origin.

What are the long-term consequences of initially beneficial high-reputation workplace ties? Under uncertainty, acolytes (i.e., subordinates with work connections to high-reputation industry leaders) are likely to benefit in terms of signaling fitness for promotion in the external job market. Analysis of promotion outcomes of coaches in the NFL over 31 years showed that the acolyte effect was reduced for individuals for whom uncertainty was the least (acolytes with considerable industry experience or high centrality in the co-worker industry network). There was no support for either a knowledge-transfer or an intrinsic quality explanation for why acolytes initially gained advantage. Rather, the evidence supported the idea that ties to high-reputation leaders were somewhat randomly distributed so that acolytes faced ex post settling up consequences after their promotions: fewer further promotions or lateral moves, more demotions. Thus, acolytes initially benefited from a loose-linkage between their unobservable quality and signals offered by their industry-leader ties, but they also suffered as the unreliability of social network signals became evident. The results suggest that a competitive job market may exhibit self-correction over time. We offer countervailing theory and evidence to the prevailing view that high-reputation third-party endorsements perpetuate a rich-get-richer social structure resistant to performance outcomes.

Carlo Lipizzi’s Societal impacts of artificial intelligence and machine learning offers a critical and comprehensive analysis of artificial intelligence (AI) and machine learning’s effects on society. This book provides a balanced perspective, cutting through the

Improving equity in data science, edited by Colby Tofel-Grehl and Emmanuel Schanzer, is a thought-provoking exploration of how data science education can be transformed to foster equity, especially within K-16 classrooms. The editors advocate for redefining

Many online are raising questions about a recent spate of public violence, as officials continue to censor discussion.

ZHUHAI: A hit-and-run attack at a sports centre in the southern Chinese city of Zhuhai killed 35 people and severely injured 43, local police said on Tuesday.

The incident happened at 7:48 p.m. (1148 GMT) on Monday, when a small off-road vehicle was driven into a large group of people exercising outside the sports centre.

Zhuhai police said in a statement that the suspect, a 62-year-old man surnamed Fan, was being treated at a hospital after hurting himself with a knife in his car.

A Reuters reporter at the scene on Tuesday evening said people had begun leaving wreaths, counting 18 laid in front of a sign for the Zhuhai People’s Fitness Square. Others lit candles and incense. The police presence was low.

A video, verified by Reuters, of the scene on Monday following the attack had shown at least 20 people lying on the ground. Cries of “terrorist” could be heard as ambulances arrived to take the injured to hospital.

Hundreds of rescue personnel from Zhuhai city and Guangdong province were deployed to provide emergency treatment, and more than 300 healthcare workers from five hospitals worked around the clock to save lives, state media Beijing Daily reported.

Fan was apprehended by police at the scene after attempting to flee, police said, adding that he had self-harmed using a knife, causing severe neck injuries.

Police said their preliminary investigation suggested the incident was triggered by Fan’s discontent following a divorce.

President Xi Jinping, cited by Chinese state television CCTV, ordered all-out efforts to treat the injured and demanded severe punishment for the perpetrator. The central government has dispatched a team to provide guidance on handling of the case, CCTV said.

The attack sparked thousands of angry comments on Chinese social media, many of which were quickly censored after the police reported the high death toll.

“Zhuhai is one of the most relaxed, peaceful, and liveable cities in the country, and this tragic incident has left a painful memory that will be hard to erase for many years to come,“ one user of the Weibo platform said.

Violent crime is rare in China due to tight security and strict gun laws. However, a rise in reports of knife attacks in large cities has drawn public attention to safety in public spaces.

In October, a knife attack in Beijing left five people wounded outside one of the city’s top primary schools. A month earlier, a Japanese student was fatally stabbed outside his school in Shenzhen.

Zhuhai is hosting China’s biggest annual air show this week where a new stealth jet fighter will be on display for the first time.

KUALA LUMPUR: The shift towards subscription-based services is gaining traction in Malaysia, aligning with a broader global trend that redefines how consumers access products.

This model provides an appealing option for many Malaysians, particularly young families and newlyweds, who face rising living costs.

Offering high-quality appliances on a subscription basis eases the financial burden of ownership, allowing consumers to enjoy premium products without the pressure of a large upfront investment.

One notable brand offering subscription-based home appliance services is the South Korean brand, LG.

LG Malaysia product director of subscription business Hojin Jung said the introduction of the LG Rent Up Subscription in Malaysia is a natural progression of the company’s commitment to providing innovative and accessible solutions tailored to the evolving needs of modern consumers.

“LG Rent Up Subscription is inspired by our success with subscription models in South Korea, where we saw significant growth, driven by increasing demand for convenience and affordability.

“Recognising similar trends here, we noticed a growing interest in flexible ownership models in Malaysia, spurred by the need for more cost-effective solutions amidst rising living expenses and fuelled by shifting consumer preferences.

“Since its launch in March 2024, the market response has been encouraging. We have seen growing inquiries from customers who have signed up for our water purifier subscription model and are now exploring subscriptions for other high-demand appliances such as refrigerators, washing machines and TVs.

“This shift highlights a changing mindset in how Malaysians approach home appliance ownership – especially among younger, urban consumers who prioritise access over ownership, seeking premium products without the upfront financial commitment,” Hojin told SunBiz.

He said urbanisation and the desire for more sustainable, convenience-focused living have made subscription services an attractive option.

“By offering top-tier technology on a subscription basis, we make high-end living more accessible while emphasising affordability and environmental responsibility. LG’s Rent Up Subscription model meets Malaysians’ evolving needs, allowing them to enjoy premium technology without the burden of ownership,” he said.

Hojin said the subscription model is gaining popularity among young Malaysians, especially urban professionals and families facing high living costs and limited space.

This trend, he said, reflects a growing shift toward a ‘sharing economy,‘ where access to energy-efficient appliances without the financial strain of ownership is valued.

LG Rent Up Subscription’s launch saw a strong uptake in Kuala Lumpur and major cities, where 40% of tech-savvy millennials prefer renting to stay updated with technology affordably.

Elaborating on the model further, Hojin said that although subscription services share similarities across markets, the Malaysian context has distinct differences.

“In South Korea, for example, the rental model for water purifiers is well-established, with over 70% market penetration. Malaysia, meanwhile, is still in its early phase, but consumer awareness is rising quickly. Moreover, this trend is not isolated to Malaysia. LG is actively preparing to introduce the subscription model in other markets, including Taiwan and Thailand, by year-end.”

Touching on the vision for LG Rent Up in Malaysia, Hojin said the LG Rent Up Subscription is just the beginning of a transformative journey in how it engages with consumers in Malaysia.

“As we look ahead, we plan to expand our subscription offerings to include a wider array of smart home appliances and electronics, reflecting the growing demand for connected living solutions.

“Our vision for LG Rent Up Subscription is to enhance the customer experience by offering seamless integration with our LG ThinQ technology, which already empowers our appliances to be more intuitive and user-friendly. This will allow our customers to enjoy a smart, responsive lifestyle, further elevating the convenience and efficiency of their homes,” he explained.

Hojin said that as the subscription economy continues to evolve, particularly among tech-savvy and environmentally conscious consumers, LG Rent Up Subscription aims to play a pivotal role in making premium technology more accessible.

“Our ultimate goal is to foster a circular economy model in which subscribing to high-quality appliances reduces the financial burden on consumers and contributes to sustainability by extending product lifecycles and minimising waste.

“The more we enhance our subscription model, the more committed we are to making innovative technology more attainable. We ultimately aim to enrich the lives of our customers while promoting responsible consumption and environmental stewardship,” Hojin said.

BOLT, Europe’s leading mobility company, is launching its ride-hailing service in Malaysia’s Klang Valley, aiming to provide a fast, convenient, and eco-friendly way for residents to navigate the city. The new service allows users to request rides through the Bolt app, while also offering flexible income opportunities for local drivers, who can set their schedules independently. By increasing transportation options, Bolt’s entry is expected to help alleviate public transport demand, making shared mobility more accessible and offering an alternative to existing ride-hailing services.

Bolt’s mission emphasises reducing reliance on privately owned vehicles and addressing urban challenges such as congestion, air pollution, and limited public spaces. The company envisions integrating its platform into the urban transit network, encouraging the shift to shared mobility solutions that support a more sustainable urban environment.

Afzan Lutfi, General Manager of Bolt Malaysia, highlighted the company’s goal of building cities centred around people rather than cars. “In Malaysia, we’re committed to reducing traffic congestion and transforming public spaces by shifting from private car ownership to shared mobility,” he explained. “By providing affordable and low-emission mobility options, Bolt is not only supporting Malaysia’s urban mobility goals but also enhancing the quality of life in Klang Valley and beyond.”

As the demand for ride-hailing grows in Malaysia, Bolt’s app includes safety features and robust customer support to foster trust between riders and drivers, reinforcing a safe and reliable travel experience. Bolt’s launch marks a step towards shaping a more connected, accessible, and liveable future for Malaysia’s cities.

It is often said that China is the world’s foremost peddler of fake news and distorted truths. The recent incident in the Taiwan Strait exemplifies this assertion.

Is it possible to launch a website in 12 hours? You start out having lots of time ahead, yet at some point, the deadline creeps closer, and you realize you don’t have enough hours left to do the work.

This …

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The wethepeople "Chaos Machine 22" BMX Frame - 22 Inch is the signature BMX frame from the Australian BMX Trails legend Tyson Jones-Peni and comes in a 22" inch version for 22" inch wheels. The wethepeople "Chaos Machine 22" BMX Frame - 22 Inch features a long and stable geometry and mounts for a disc brake (and regular U-brake).

• Wheel Size: 20"
• Material: 100% 4130 Japanese CrMo, top tube and down tube gussets, butted tubes, integrated headset, integrated seatclamp, offset thickness dent resistant chainstays and mid bb for grind resistance
• Geometry:
  Top Tube Length (TT): 22.25"
  Chainstay Length (CS): 14" (35.56cm) - 14.75" (37.47cm)
  Head Tube Angle (HA): 74.25°
  Seat Tube Angle (SA): 71°
  Bottom Bracket Height: 12.25"
  Standover Height (SO): 9.75" (24.77cm)
• Seat Clamp: integrated
• Seat Post Diameter: 25.4mm
• Bottom Bracket: Mid BB
• Dropouts: Investment cast, 6mm thick, 14mm slots, CNC machined, 4130 CrMo
• Chain Tensioners: integrated
• Brake Type: U-Brake & Disc Brake
• Brakemounts: without
• Brakemounts included with delivery: No
• Gyro compatible: No
• Features: Tyson Jones-Peni Signature, long trail geometry, disc mount for 120mm - 160mm rotors, 127mm high head tube, strut tube with larger radius, stiffer & stronger back end, larger weld on the head tube, wider dropout for wide 2.4" tires
• Model Year: 2024