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Innovative modern technologies are utilised in the hospitality and tourist industry to attract prospective consumers. Travel vlogs have emerged as a type of visual travel blog which includes information regarding tourist destinations, accommodation, cuisine, touristic activities, mode of accessibility, etc. The current study aims to investigate the influence of vlogger credibility on triggering the tourist intention to visit an eco-tourism destination.

The present study is a quantitative study, and it was conducted by surveying 218 respondents. A structured, close-ended and self-administrated questionnaire was used to collect data from the respondents.

The findings indicated that vlogger trustworthiness, expertise and attractiveness significantly impact Bangladeshi tourists' intention towards visiting an eco-tourist destination.

The present study has several theoretical and practical contributions. Theoretically, the research framework illustrated how the vloggers' trustworthiness, expertise and attractiveness on Bangladeshi tourists' visit intention to eco-tourist destinations. Practically, tourism industry practitioners, particularly destination marketers, will get benefit from the present study.

Buying online has become a widespread and common activity for consumers, and, for many organizations, e-commerce has become a very profitable alternative to sell their products and services, also allowing them to leverage their strategy in new geographical markets immediately. Although the literature on the subject is comprehensive, there is a gap in identifying the holistic constructs that are the determinants of consumers' choice of an online store. This research resorts to an exploratory study, based on a nonsystematic literature review, seeking to identify these constructs. The results obtained allowed us to identify the following constructs: consumer behavior, customer experience, web content, catalog, terms and conditions, customer support, perceived value, trust, security and privacy, satisfaction, and loyalty. Customer experience, satisfaction, and loyalty constructs stand out from a strategic perspective.

Artificial Intelligence (AI) is one of the newest technology that is quickly advancing and can be utilised to improve human resource competence in the age of rapid digital transformation. The present competitive scenario demands accurate data that need to be collected and analysed for organisational growth.

Purpose: The research examines the applications and usage of AI in performance management and further analyses the future of PM from the perspectives of AI.

Methodology: The study is conceptual and relies on secondary data from research papers, publications, HR blogs, survey reports and other sources. Employee performance and attitudes were monitored using digital technologies, big data analytics and AI. The quality of employee performance continues to increase with the integration of AI, enabling predictive analytics to increase employee performance.

Research Implication: In employee performance appraisal, a digital performance management system leads to openness and honesty with time, effort and sincerity. It is based on the performance management system’s practical usefulness.

Theoretical Implication: The study’s findings provide HR managers, academics, IT professionals and practitioners with an understanding of how AI may be used for performance management and its consequences on their operations. In addition, the connection between the HR devolution theory on performance management and AI is discussed.

COVID-19 is a global pandemic that was unprecedented in human history. The scale of infection was unusual with most countries succumbing to this disease. Various mitigation plans were introduced by governments around the world to contain the spread of the virus. The Southeast Asian region is not spared from the harmful effects of COVID-19. Most Southeast Asian countries responded swiftly to COVID-19 by introducing stringent policies such as contact tracing, mandatory quarantine, restriction of movements, cancellation of public events, health screenings, and border closures early on to tackle the rapid spread of the virus. The adoption of technology for contact tracing such as MySejahtera (Malaysia), TraceTogether (Singapore), PeduliLindungi (Indonesia), Mor Chana (Thailand), and Stay Safe (Philippines) shows the rapid response from the governments to contain the spread of COVID-19. The variation in the degree of success stories at different timelines in managing COVID-19 in the region indicates that COVID-19 management requires short and long-term planning, especially in the public health policy. In the case of Malaysia, the first phase of movement control order (MCO, 18–31 March 2020) took place on the background of political turmoil. The newly formed government under the leadership of Muhyiddin Yasin announced the first phase of lockdown in Malaysia to control the rising number of COVID-19 cases. The lockdowns then evolved into different forms at different phases of implementation until it was announced on 8 March 2022 that the country is transitioning to the endemic phase on 1 April 2022. This study shows that the respondents to our survey during the first phase of MCO are highly aware of the government’s initiatives to manage COVID-19 and the Malaysian public has a high level of trust and confidence in the government’s initiatives. The stringent measures taken by the government in the first wave of COVID-19 were seen as a necessity and it provided legitimacy to the government despite being the first unelected government in Malaysian history.

This chapter discusses the development of public opinion polls in Malaysia, especially those related to politics and elections in the state. It traces the early attempts at public opinion polls and their relatively recent development in estimating electoral outcomes in Malaysia. In analysing the efforts, the chapter relates the conduct of opinion polls with changing trends in Malaysia’s elections, particularly the shift from a dominant party system to one of two-coalition systems since the 12th general elections (GE12) in 2008. The chapter also discusses the role of the various actors who are involved in opinion polling, and the usual contents in such polls. It evaluates the possibility and difficulty of the polls in estimating outcomes of elections. In view of the new norms developing since the spread of COVID-19 in 2020, the chapter also explores the challenges and opportunities of public opinion polls in articulating public sentiment.

The tourism industry is facing significant challenges in an ever-changing world marked by globalisation, digitalisation and societal shifts. The issues of overtourism and massification exacerbate concerns about sustainability and the industry's impact on the environment and local communities. These concerns arise as profit-driven ideologies overshadow the industry's original vocation to contribute to meaningful encounters, well-being and social justice. This chapter explores the cultivation of humaneness and conscience within tourism through education, knowledge and personal reflection. Drawing inspiration from Hannah Arendt's interpretation of Socrates' philosophy, it highlights the importance of critical thinking and a comprehensive understanding of the industry's role in shaping alternative futures. Tourism higher education plays a pivotal role in empowering students to become catalysts for systemic transformation. Furthermore, this chapter emphasises the value of embracing diverse viewpoints and engaging in meaningful encounters and dialogues with local communities and stakeholders to collaboratively imagine and implement sustainable practices. Only by dismantling entrenched habits through critical thinking and fostering collaboration can the tourism industry envision alternative trajectories towards a more conscientious and humane path forward.