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To understand differences in visitors' travel motivations, this study investigates the relations between personal values and travel motivations as well as the moderating effects of visit experience, age and gender on values–motivations relations among Australian visitors visiting Indonesia.

The multigroup confirmatory factor analysis (MGCFA) was performed using Analysis of Moment Structures (AMOS) to assess the constructs' validity across groups (potential vs repeat visitors; younger vs older visitors; male vs female visitors). A group model comparison thus was run in the multigroup analysis to test whether any differences in values–motivations relationships were significant across the groups.

This study shows that travel motivations are associated with values in a systematic way, and values–motivations relations can vary by age, gender and visit experience. Specifically, self-enhancement values are associated with escape-seeking motivation and conservation values are associated with assurance-seeking motivations. Whilst, there is no associations found between openness to change values and novelty-seeking motivations and between self-transcendence values and interaction-seeking motivations. Further, values influence travel motivations for potential but not repeat visitors and for younger but not older visitors.

Tailoring marketing strategies to align with visitors' personal values and travel motivations is crucial. Further, acknowledging the moderating influences of visit experience, gender and age in values–motivations relations enables destination marketers to create more effective and targeted approaches for diverse demographic groups in marketing, promotions and destination development.

This study for the first time provides a better explanation on how the travel motivations are formed in relation to values, age, gender and visit experience.

Several chaotic system-based encryption techniques have been presented in recent years to protect digital images using cryptography. The challenges of key distribution and administration make symmetric encryption difficult. The purpose of this paper is to address these concerns, the novel hybrid partial differential elliptical Rubik’s cube algorithm is developed in this study as an asymmetric image encryption approach. This novel algorithm generates a random weighted matrix, and uses the masking method on image pixels with Rubik’s cube principle. Security analysis has been conducted, it enhances and increases the reliability of the proposed algorithm against a variety of attacks including statistical and differential attacks.

In this light, a differential elliptical model is designed with two phases for image encryption and decryption. A modified image is achieved by rotating and mixing intensities of rows and columns with a masking matrix derived from the key generation technique using a unique approach based on the elliptic curve and Rubik’s cube principle.

To evaluate the security level, the proposed algorithm is tested with statistical and differential attacks on a different set of test images with peak signal-to-noise ratio, unified average changed intensity and number of pixel change rate performance metrics. These results proved that the proposed image encryption method is completely reliable and enhances image security during transmission.

The elliptic curve–based encryption is hard to break by hackers and adding a Rubik’s cube principle makes it even more complex and nearly impossible to decode. The proposed method provides reduced key size.

The aging and deterioration of engineering building structures present significant risks to both life and property. Fiber Bragg grating (FBG) sensors, acclaimed for their outstanding reusability, compact form factor, lightweight construction, heightened sensitivity, immunity to electromagnetic interference and exceptional precision, are increasingly being adopted for structural health monitoring in engineering buildings. This research paper aims to evaluate the current challenges faced by FBG sensors in the engineering building industry. It also anticipates future advancements and trends in their development within this field.

This study centers on five pivotal sectors within the field of structural engineering: bridges, tunnels, pipelines, highways and housing construction. The research delves into the challenges encountered and synthesizes the prospective advancements in each of these areas.

The exceptional performance of FBG sensors provides an ideal solution for comprehensive monitoring of potential structural damages, deformations and settlements in engineering buildings. However, FBG sensors are challenged by issues such as limited monitoring accuracy, underdeveloped packaging techniques, intricate and time-intensive embedding processes, low survival rates and an indeterminate lifespan.

This introduces an entirely novel perspective. Addressing the current limitations of FBG sensors, this paper envisions their future evolution. FBG sensors are anticipated to advance into sophisticated multi-layer fiber optic sensing networks, each layer encompassing numerous channels. Data integration technologies will consolidate the acquired information, while big data analytics will identify intricate correlations within the datasets. Concurrently, the combination of finite element modeling and neural networks will enable a comprehensive simulation of the adaptability and longevity of FBG sensors in their operational environments.

The purpose of this paper is to examine curiosity as a distal predictor of knowledge sharing facilitated by informal learning. It also probes the boundary conditions imposed by ebullient supervision in the influence of curiosity on knowledge sharing.

The authors collected data through a two-wave survey of 349 knowledge workers in the IT sector and used structural equation modeling to analyze the data.

The results indicated a positive relationship between curiosity and knowledge sharing. In particular, informal learning was found to mediate the relationship between curiosity and knowledge sharing and ebullient supervision was identified as a significant condition that strengthens the effect of curiosity on informal learning.

Organizations can promote knowledge sharing by harnessing curiosity as an intrinsic motivator for employees to engage in informal learning. Moreover, the findings identified ebullient supervision as an extrinsic motivator within the work environment, suggesting its potential to enhance the impact of curiosity on knowledge sharing.

This paper broadens the limited literature on ebullient leadership by revealing how it strengthens the effects of curiosity and informal learning on knowledge sharing.

Financial communication refers to the strategies and practices employed by companies to share financial information and engage with investors, stakeholders and the broader financial community. At its core lies investor relations management (IRM), focused on achieving effective two-way communication between the company and these groups for fair valuation of securities. Key financial communication activities include investor meetings, earnings calls, roadshows, annual reports, market analysis and crisis communication. Moreover. stakeholder theory emphasizes identifying and managing relationships with all individuals and entities that can affect or be affected by the company's operations. Stakeholders include shareholders, employees, creditors, suppliers, communities, regulators etc., classified as primary (essential) or secondary (indirectly involved). Proactive stakeholder engagement is crucial for achieving corporate objectives. Additionally, investor relations (IR) specifically deal with managing interactions with shareholders, creditors and potential investors through information dissemination, utilizing finance, marketing and communication techniques. Implementation channels include regulated disclosures, shareholder meetings, media engagement and forums. Other covered aspects include crisis communication strategies, corporate reputation management, internal communication practices, transparency and disclosure guidelines and legal/ethical considerations surrounding corporate communication. Overall, robust financial communication capabilities are vital for corporate success, reputation building and sustainable growth in today's competitive landscape.

This paper aims to provide a full introduction, new classification, comparison and investigation of the challenges as well as applications of layerless 3D printing, which is one of the industry 4.0 pioneers.

Given the significance and novelty of uniform 3D printing, more than 250 publications were collected and reviewed in an unbiased and clear manner.

As a result, the majority of uniform parts printed in polymer form are known up to this point. In a novel division for better researchers’ comprehension, uniform printing systems were classified into three categories: oxygen inhibition (OI), liquid lubrication (LL) and photon penetration (PP), and each was thoroughly investigated. Furthermore, these three approaches were evaluated in terms of printing speed, precision and accuracy, manufacturing scale and cost.

The parameters of each approach were compared independently, and then a practical comparison was conducted among these three approaches. Finally, a variety of technologies, opportunities, challenges and advantages of each significant method, as well as a future outlook for layerless rapid prototyping, are presented.

Understanding and mitigating stock price crash risk is vital for investors and regulators to ensure financial market stability. This study aims to unveil significant research trends and opportunities.

This study adopts the bibliometric and systematic review approach to analyse 485 Scopus-indexed articles through citation, keyword co-occurrence, bibliographic coupling, and publication analyses and delve into the depth of crash risk literature.

This bibliometric review reveals not only a surge in crash risk publications over the last decade but also delineates several emerging thematic threads within this domain. We identify seven distinct themes that have gained prominence in recent literature: bad news hoarding, board characteristics, capital market factors, corporate policies, ownership impact, corporate governance, and external environmental influences on crash risk. This thematic analysis provides a comprehensive overview of the evolving landscape of crash risk research and underscores the multifaceted nature of factors contributing to market instability.

This study makes a substantial contribution by furnishing a thorough examination of existing studies, pinpointing areas where knowledge is lacking, and shedding light on emerging trends and debates within the crash risk literature.

This study identifies current research trajectories and propels future exploration into agency perspectives, audit quality, and corporate disclosures within crash risk literature.

We analyzed the effects of different combinations of organic soil amendments (OSAs) and chemical fertilizers on agrifood production, focusing on banana yields in China, the second-largest producer of bananas globally.

We computed these combinations by dividing the expenditures on OSAs by those on chemical fertilizers and called them OSA-CF ratios. First, we classified farmers based on quintiles of expenditures on chemical fertilizers. Then, we studied the association between OSA-CF ratios and banana yields for each quintile. We also considered an alternate specification in which farmers were grouped along the OSA-CF ratio continuum. The first group comprised farmers not using OSAs. Their OSA-CF ratio was zero. Farmers applying low, medium, and high OSA-CF ratios constituted groups two, three, and four; the groups were delineated based on the OSA-CF ratio tertiles, and the associations between tertiles of OSA-CF ratios and banana yields for each quintile were analyzed. The data used in this study were collected by surveying 616 households in three major banana-producing provinces (Guangdong, Hainan, and Yunnan) of China. Standard linear regressions and the two-stage predictor substitution method were employed to complete the analysis.

There were variations in the effects of OSA-CF ratios on banana yields obtained by farmers iifferent quintiles. For the first and second quintiles, low, medium, and high OSA-CF ratios improved banana yields relative to not using OSAs. For farmers in the first quintile using only chemical fertilizers, applying a low OSA-CF ratio was associated with an improvement of 792 kg/mu in banana yields. For their counterparts in the second quintile, the same transition was associated with a gain of 534 kg/mu. For the fifth quintile, comprising farmers spending 320 yuan/mu or more on chemical fertilizers, applying a high OSA-CF ratio instead of using only chemical fertilizers was associated with a 401 kg/mu decline in banana yields. Even so, for this group, no differences were observed between the yields of farmers not applying OSAs and those using low and medium OSA-CF ratios.

Banana farmers in southern China, using only chemical fertilizers, can improve yields by combining them with OSAs if their chemical fertilizer expenditures are less than 66.67 yuan/mu. Those using only chemical fertilizers and spending between 68 yuan/mu and 300 yuan/mu on them can maintain yields by applying OSAs in conjunction with chemical fertilizers. However, yields may decline for farmers using only chemical fertilizers and spending 320 yuan/mu or more on them if they incorporate OSAs such that the OSA-CF ratio reaches 0.78 or higher. Overall, combining OSAs with chemical fertilizers can improve yields while attenuating the adverse effects of chemical fertilizers on the environment. Policymakers should inform farmers of these benefits and accelerate the transition to sustainable agriculture through educational and awareness programs.

Farmers apply OSAs such as organic fertilizers and farmyard manure to adjust and remedy soil nutrition to improve farm productivity. However, little is known about how combining OSAs with chemical fertilizers affects banana yields. This study provided the first attempt to explore the associations between OSA-CF ratios and banana yields using cross-sectional data on farming households.

Artificial intelligence (AI) carries the risk of widening gender inequalities due to the digital divide, while simultaneously promising to equalise the situation for women through the gender digital dividend. The conflicting findings from previous studies justify the need to investigate the gendered aspects of Artificial Intelligence (AI) diffusion. Specifically, the aim of this chapter is to understand the relationship between female entrepreneurship and the adoption of AI technologies within business contexts at the macroeconomic level. To achieve this, cluster analyses are conducted for the European Union (EU) countries. The results indicate an inverted U-shaped pattern in the relationship between the level of female entrepreneurship and the diffusion of AI technology in business. In the EU countries belonging to clusters with the highest level of AI diffusion, female entrepreneurship is at a moderate level, while in the EU countries with the lowest level of intelligent transformation, both extremes are observed: the highest and the lowest levels of female entrepreneurship. The variety of patterns in female entrepreneurship and AI technology spread in the EU countries implies the complex and multidimensional nature of the interrelationship, and, thus, it indicates the need for diverse, country-specific policies and practices to reach the intelligent transformation with respect to more equal society.

India has a serious poverty issue that needs to be addressed immediately. The elimination of poverty should be one of the primary goals of economic policy. The elimination of poverty is one of the greatest obstacles to economic development as it is now envisioned. It is difficult to provide a blanket recommendation for achieving economic growth and reducing poverty because each state's experience has been distinct. The states of Punjab and Haryana are two examples of how a strong emphasis on agricultural expansion can help alleviate poverty. Human resource development has been successful in Kerala; thus, it has been replicated in other states. While India's social safety programmes have helped to alleviate poverty, they aren't perfect. COVID-19 reversed the progress made and harmed migrant workers and others in the informal economy. There are now millions more people living in extreme poverty than before. To tackle unemployment, governments and underprivileged communities are appealing to programmes like MGNREGA.

The purpose of this article is to investigate the measures taken by the state to combat poverty.