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The purpose of this study is to investigate whether having accessible cybersecurity programs (CPs) for high-school students affected girls’ long-term engagement with the industry, given that they already had interests in technology. Although much research has been done to evaluate how high-school science, technology, engineering, and mathematics programs retain girls in computing fields, it is necessary to see if this same long-term engagement exists in cybersecurity-specific programs.

In total, 55 members were surveyed from the aspirations in computing community regarding their experience in and accessibility to high-school CPs. A quantitative analysis of such responses was then undertaken using inferential statistical tools and chi-squared tests for independence.

The results showed that the existence of CPs alone are not influential factors in increasing long-term engagement with the field, showcasing that the high-knowledge barrier of CPs affects many students (even those with prior interests in technology). Instead, by having multiple occurrences of these programs and providing more cybersecurity resources to areas that lacked them, girls were more likely to report an increased interest in the field.

Such information can support future program leaders to develop effective, accessible and more targeted cybersecurity initiatives for students of various communities.

By analyzing the unique interactions of tech-aspiring women with cybersecurity, this exploration was able to demonstrate that women of different computing experiences face a shared barrier when entering the cybersecurity field. Likewise, in comparing these perspectives across different age groups, the investigation highlighted the development and subsequent growth of cybersecurity programming over the years and why such initiatives should be supported into the future.

This study aims to deal with the valuation and accounting of complex derivative instruments. This study attempts to propose a convergence plan by presenting a pricing (fair value evaluation) alternative that considers the accounting process. In this paper, we choose a ZCCB as a representative structured derivative and conduct a case study.

Regarding the expected maturity of ZCCB, there is a need to adjust the historical expected maturity by reflecting the implied expected maturity. As a result of simulation and empirical analysis, it can be seen that the greatest feature of the expected maturity distribution is the Bi-Modal distribution redeemed immediately after the non-call period or at the maturity of the ZCB. Therefore, when using expected maturity, it would be more meaningful to use ZCB maturity date or just after non-call period date rather than the average.

Regarding whether ZCCB's SPPI test is satisfied, the ZCCB return rate is determined according to market input variables and bond issuance conditions and is already fixed at issuance, so it can be judged that the SPPI condition is satisfied.

In cross-border mergers and acquisitions (M&As), acquirers often fail to achieve the expectations they held when they made the M&A deals. This paper aims to propose that the risks of cross-border M&As can be mitigated by building and cultivating organizational resilience as a prime means of risk management.

The research examines risks associated with cross-border M&A and how such risks can be mitigated by developing resilience. It presents dual cases of acquisitions of the biggest branded mobile phone manufacturer in Taiwan.

The authors find that the acquirer faces multiple risks in cross-border M&A transactions, including financial, strategic and organizational, and process risks that arise from misalignment between the goal of the M&As and the post-acquisition performance of the target firms.

The research provides theoretical insights on organizational resilience and how it can mitigate the specific risks involved in cross-border M&As, thereby developing coherent organizational resilience processes.

The purpose of this paper is to answer why some multinational enterprises (MNEs) fail within the international business (IB) domain.

Conceptually, the study takes an organismic approach to MNE failure. Methodologically, it adopts an elite interview approach derived from the Delphi technique. Respondents are 39 IB and strategic management academics.

The paper finds that MNE failure is rooted in strategic leadership and capabilities (i.e. internal deterioration of organizational resources and strategies) and institutional pressures and differences, and these factors lead to deterioration of institutional legitimacy for an MNE.

The paper conducts a review of the firm failure and foreign divestment literature and undertakes an organismic approach to the analysis of MNE failure in the IB context. The paper provides useful insights on developing and implementing both market and non-market strategies for overcoming MNE internationalization failure.

This study aims to apply the predictive processing theory to examine the influence of artificial intelligence (AI)-driven robotic performers on audience emotions and the audience’s resulting electronic word-of-mouth (eWOM) behaviors during tourism service encounters.

Using a quantitative research methodology, survey responses from 339 regular customers of performing arts in tourism destinations were analyzed. The respondents were recruited through Prolific, a professional data collection platform. SPSS 23.0 was used for the preliminary analysis, from which a research model to achieve the aim was proposed. SmartPLS 3 was used for partial least squares structural equation modeling to test the model.

Interactive and novel robotic performances significantly encouraged the consumers to share their experiences online, thereby enhancing eWOM. However, melodic resonance had no significant impact on eWOM intentions. The consumers’ emotional responses fully mediated the relationship of the novelty and interactivity of the performances to the consumers’ eWOM intentions but did not mediate the relationship of the musical elements to their eWOM intentions.

This study enriches the understanding of how AI-driven performances impact consumers’ emotional engagement and sharing behaviors. It extends the application of the predictive processing theory to the domain of consumer behavior, offering valuable insights for enhancing audience engagement in performances through technological innovation.

本研究旨在运用预测处理理论, 考察人工智能（AI）驱动的机器人表演对观众情感及其在旅游服务接触中的电子口碑（eWOM）行为的影响。。

采用定量研究方法, 分析了339名经常观看旅游景点表演艺术的常客的调查问卷。受访者通过专业数据收集平台Prolific招募。初步分析使用SPSS 23.0进行, 从中提出了实现研究目标的研究模型。使用SmartPLS 3进行偏最小二乘结构方程模型测试该模型。

互动性和新颖性的机器人表演显著鼓励消费者在线分享他们的体验, 从而增强电子口碑。然而, 旋律共鸣对电子口碑意图没有显著影响。消费者的情感反应完全中介了表演的新颖性和互动性与消费者电子口碑意图之间的关系, 但没有中介音乐元素与电子口碑意图之间的关系。

本研究丰富了对AI驱动表演如何影响消费者情感参与和分享行为的理解。将预测处理理论的应用扩展到消费者行为领域, 为通过技术创新增强观众参与度提供了宝贵的见解。

Korean organizations’ attempts to transplant home management practices directly to their overseas operations have not been received positively by foreign staff; the application of hierarchical Confucianist management principles has led to high reliance on expatriates in Korean overseas operations and failed integration with both local staff and local markets in host country. In this conceptual chapter, we examine the significance of strong informal social ties (based on the unique social psychology of jeong, woori and nunchi) as cultural control in the Korean workplace and develop this as a novel explanation for Korean management discomfort in overseas settings. Promotion of weak social ties with local staff is suggested as more appropriate for achieving goals of exploring local expertise and knowledge.

The purpose of this study is to identify and explore what leadership characteristics constitute humanistic leadership in the South Korean context. Moreover, this study examines how these leadership characteristics are connected to Korean culture.

Based on the information gathered from semi-structured interviews and other sources, including books, case study articles and news articles, this study captures a more comprehensive perspective of Mr. Kook-Hyun Moon, the former CEO of Yuhan–Kimberly.

The key characteristics of Mr. Moon's humanistic leadership that are identified in this study are: respect for all mankind, benevolence (seeking the greater good), sincerity (building trusting relationships with stakeholders) and continuous learning and innovation (developing self and others). These key characteristics set Mr. Moon apart from other leaders and are connected to the fundamental values and philosophies of Korean culture.

This study contributes to the current leadership literature by identifying and exploring Mr. Moon's humanistic leadership characteristics that enable him to gain respect and contribute to communities and society in the South Korean context. This study also finds that the humanistic leadership characteristics of Mr. Moon reflect three major attributes of Korean culture: the ideology of the Dangun mythology, the principle of Neo-Confucianism in Korea and jeong – an indigenous cultural concept in Korea (these attributes will be discussed in detail in the South Korean values and philosophies section). Such reflection suggests that investigating how humanistic leadership characteristics are connected to local cultural roots is important to enhance the understanding of humanistic leadership.

The purpose of this study is to examine the branding strategies of SMEs from NIEs, juxtaposing the different strategies used to specifically target developed and developing countries with regard to brand-building approach, type and number of brands and degree of standardization.

A case-study approach is used. In-depth interviews are conducted with 10 Korean consumer-goods SMEs exporting their own in-house brands.

Clear differences emerge between the strategies of SMEs entering developed countries and those entering developing countries, particularly regarding brand identity development, use of foreign sales subsidiaries and number and types of brands used. The authors find an interaction effect between product characteristics and host market levels of economic development, both of which influenced the degree of product standardization.

This study is the first attempt to uncover the branding strategies of NIE consumer-goods SMEs. The findings contribute to the field by extending our understanding of branding strategies used by consumer-goods SMEs from NIEs, thereby providing useful insight for other NIE enterprises when establishing branding strategies aimed at foreign markets.

The purpose of this paper is to examine descriptive sensory characteristics and consumer acceptability of eight commercial ready-to-eat cooked rice samples by 8 trained panelists and 50 consumers.

A total of 24 descriptive attributes for appearance, odor/aroma, taste/flavor, and texture were developed. Also Consumer Acceptability (CA) was performed for overall liking, appearance, flavor, and texture liking. All statistical analyses were using analysis of variance, principal component analysis (PCA), hierarchical cluster analysis (HCA), and partial least square regression (PLSR).

The overall liking score for the cooked white rice from C brand was the highest (6.43) among the eight samples. Three groups of eight commercial ready-to-eat cooked rice samples were obtained from PCA and HCA. The samples of cooked white rice from C, N, and O brand characterized by intactness, starch odor, translucency, whiteness, and glossiness were located on to the positive PLS 1, whereas the samples of cooked white rice from D and E brand characterized by scorched odor, cohesiveness, stickiness, and moistness were located on the negative side of PLS 2 in the PLSR analysis.

Further studies on the improvement of sensory quality for brown rice are necessary to increase CA in terms of health functionality of brown rice.

This research investigates consumer intention to follow online community advice. Applying the technology acceptance model (TAM) to the context of online restaurant communities, the study empirically examines the effects of perceived usefulness, perceived ease of use, attitude and trust on the intention to follow online advice.

The data were collected from 360 members of online restaurant communities on Facebook and analyzed using structural equation modeling (SEM).

The findings revealed that trust, perceived usefulness and attitude are key predictors of the intention to follow online restaurant community advice.

Extant research on the influence of online reviews on consumer behavior in the restaurant industry has largely focused on the characteristics of the review, reviewers or readers. Moreover, other studies have investigated consumers' motivations to write online restaurant reviews. This study, however, takes a different approach and examines what drives consumers to follow the advice from online restaurant communities.