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This study aims to understand how travelers evaluate travel destination recommendations received from either artificial intelligence (AI) or human travel experts (TEs) based on the size of recommendation and their travel involvement.

This study used a 2 (agent type: AI vs TE) × 2 (size of recommendation: small vs large) × 2 (travel involvement: low vs high) between-subjects design.

When AI recommends destinations, less-involved travelers perceive the recommendations as more credible and trust the system when AI offers larger recommendations than smaller ones. Meanwhile, when TEs offer recommendations, travelers consider the recommendations as equally credible and similarly trust the system, regardless of the recommendation size and travel involvement.

This study sheds light on the design of human-centered AI travel destination recommendation services.

本研究旨在了解旅行者如何根据推荐的规模和他们的旅行参与度来评估从人工智能 (AI) 或人类旅行专家 (TE) 收到的旅行目的地推荐。

本研究使用 2（代理类型：AI 与 TE）×2（推荐数量：小与大）×2（旅行参与：低与高）受试者间设计。

当 AI 推荐目的地时, 参与度较低的旅行者认为推荐更可信, 并且当 AI 提供的建议比较小的建议大时信任系统。 同时, 当 TE 提供推荐时, 无论推荐数量大小和旅行参与度如何, 旅行者都认为这些推荐同样可信并且同样信任系统。

这项研究揭示了以人为本的人工智能旅游目的地推荐服务的设计。

This study aims to investigate how preservice teachers’ stages of concern, beliefs, confidence and interest in AI literacy education evolve as they deepen their understanding of AI concepts and AI literacy education.

AI literacy lessons were integrated into a technology integration course for preservice teachers, and the impacts of the lessons were evaluated through a mixed-methods study. The Concerns-Based Adoption Model was employed as the analytical framework to explore participants’ specific concerns related to AI.

Findings revealed that participants initially lacked AI knowledge and awareness. However, targeted AI literacy education enhanced preservice teachers’ awareness and confidence in teaching AI. While acknowledging AI’s educational benefits, participants expressed ongoing concerns after AI literacy lessons, such as fears of teacher displacement and the potential adverse effects of incorporating generative AI on students’ critical learning skills development.

Despite the importance of providing preservice teachers with AI literacy skills and knowledge, research in this domain remains scarce. This study fills this gap by enhancing the AI-related knowledge and skills of future educators, while also identifying their specific concerns regarding the integration of AI into their future classrooms. The findings of this study offer valuable insights and guidelines for teacher educators to incorporate AI literacy education into teacher training programs.

The Hanbo (meaning Korean treasure) scandal or “Hanbogate” occurred on January 23, 1997, with the bankruptcy of Hanbo Iron and Steel Company, the second largest steel company and 14th largest conglomerate in South Korea, as its debt had accumulated to US$5.6 billion. Hanbo's bankruptcy triggered an investigation by the Public Prosecutor's Office that resulted in the imprisonment for 15 years of Hanbo's founder, Chung Tae-Soo, for bribing politicians and bankers to pressure banks to extend hugh bank loans to Hanbo. Nine other persons were also convicted including Chung's son, who was jailed for three years for bribery and embezzlement, and Kim Hyun-Chol, the second son of President Kim Young-Sam, who was sentenced to three years jail and fined US$1.5 million (New York Times, 1997).

This paper presents a case study on the problem of loading air containers in air express carriers motivated from DHL and Air Hong Kong. The problem is to determine the containers to be loaded and the locations of the loaded containers in an aircraft while maintaining stability of the aircraft. The objective of the problem is to maximize the revenue obtained from delivering containers. We present an integer programming model to represent and optimally solve the problem. Computational experiments done on a number of randomly generated test instances show that the integer program can be a viable tool for generating loading plans in the companies since optimal or near-optimal solutions for the test instances are obtained within a reasonable amount of computation time.

The goal of this research is first to investigate the outsourcing needs of small and medium enterprises (SMEs) in each of the following HR sub‐processes: recruiting, training, HR administration, payroll, and benefit processes. Then, the outsourcing needs are analyzed against the characteristics of the companies such as company size, operating environment, culture and information technology maturity. Lastly, integrated business process outsourcing (BPO) service models are developed according to the characteristics of the company.

To fulfil the objective of this research, the questionnaire is used to assess the outsourcing needs of the companies. The data collected by questionnaire are analyzed against the characteristics of the companies. Then integrated BPO service models are developed based on the analysis of the questionnaire data and the interviews with HR managers. This study used both quantitative and qualitative methodologies.

This study suggests BPO service industry with two different service models: partially integrated model where e‐recruiting and e‐learning are integrated and fully integrated model where all of the HR‐subprocesses are integrated.

As BPO is expected to be booming in the next few years, this study helps BPO service industry to better serve SMEs in the area of human resource management.

This paper aims to develop of an industrial air pollution monitoring system (IAPMOS) as one of the target solutions for monitoring mechanisms in the workplace.

Quality function deployment approaches were used in this study. The process of getting data from workers was by using questionnaires. The questionnaire regarding the welding process work environment was given to two selected automotive industries located in Shah Alam, Selangor, Malaysia.

From the data, the system development was analysed in order to formalize the specific needs of workers and management. The preliminary data were discussed regarding the development process and reliability factors that influenced the IAPMOS. The voice of the customer was then input during the design stage of IAPMOS.

The monitoring of industrial air pollution which was done in the welding process used a direct reading method and the date was assigned as “base line” during system development. The standards International Organization for Standardization (ISO) 9001: 2008, ISO 14001: 2008, and the Malaysia Standard, MS 1722: 2003 were the major sources helping to improve the working environments. The working environment is important to productivity and has a direct impact on human intervention.

Poor working environments will give a negative impact and an uncondusive work environment will create a potential health hazard and less productivity.

The paper provides information to aid in improving workplace environment.

The Korean economy has moved from being a role model, with various impediments to its future development now identified. Some of the problems concern its manufacturing nationalized industries with debate over their “efficiency”, with high costs of production, wastage of materials and human resources, combined with poor quality. At the same time, there is also a feeling that nationalized industries are not discharging their “responsibilities” to society. While the focus of this paper is a segment of Korean management and business, it has more general and wider relevance to other sectors and counties. The main purposes of this study are to highlight the environmental factors under which nationalized industries operate; draw attention to problems stemming from them that negatively affect efficiency and management; and make some tentative recommendations for possible reforms.