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Ecotourism is the sustainable choice of natural resources with the potential for low-cost funding approaches. As ecologically and socially responsible tourism, it promotes biodiversity while conserving the environment and society. To encourage the development of ecotourism and the advancement of indigenous communities and their resources, it is essential to examine the factors tourists consider when selecting a destination. Therefore, this study explores the critical factors of potential risk in selecting ecotourism destinations in the narrow and specific sphere. As a quantitative study, it used a sample of 377 tourists to investigate the relationship between different constructs. In this regard, SPSS-AMOS was used for data analysis. The findings highlight the importance of factors that influence tourists' decisions, which are greatly affected by risk factors; thus, it is also imperative for the Bangladesh government, policymakers, and tourism management to address this, leading to an upsurge of tourists in ecotourism destinations. These are also crucial for assisting stakeholders in understand ing how tourists perceive and guide ecotourism potential and reducing the impact of confrontations.

Artificial intelligence (AI) is fundamentally transforming the marketing landscape, enabling significant progress in customer engagement, personalization, and operational efficiency. The retail sector has been at the forefront of the AI revolution, adopting AI technologies extensively to transform consumer interactions, supply chain management, and business performance. Given its early adoption of AI, the retail industry serves as an essential case context for investigating the broader implications of AI for consumer behavior. Drawing on 404 articles published between 2000 and 2023, this study presents a comprehensive bibliometric and content analysis of AI applications in retail marketing. The analysis used VOSviewer (1.6.20.0 version) and Bibliometrix (version 4.3.1) to identify important contributors, top institutions, and key publication sources. Co-occurrence keyword and co-citation analyses were used to map intellectual networks and highlight emerging themes. Additionally, a focused content analysis of 50 recent articles was selected based on their relevance, timeliness, and citation influence. It revealed six primary research streams: (1) consumer behavior, (2) AI in retail marketing, (3) business performance, (4) sustainability, (5) supply chain management, and (6) trust. These streams were categorized through thematic relevance and theoretical significance, emphasizing AI’s impact on the retail sector. The contributions of this study are twofold. Theoretically, it integrates existing research on AI in retail marketing and outlines future research in areas such as AI’s role in the domain of consumer behavior. From an empirical standpoint, the study highlights how AI can be applied to enhance customer experiences and improve business operations.

Computer-mediated communication has dramatically transformed the human communication landscape by enhancing speed, content and social presence. The world has been experiencing a sharp decline in using email and phone calls due to organizations’ rapid adoption of instant messenger (IM) for their day-to-day communication with their stakeholders. Moreover, the world has been experiencing a sharp decline in using email and phone calls since the beginning of the IM era. Hence, the aim of this study is to comprehend the IM adoption process through the lens of three theories. A structured questionnaire was developed to collect data from the organizations and test hypotheses using consistent PLS-SEM (PLSc) in SMART PLS combined with bootstrapping. The results indicated that parallelism is the most dominating factor explaining IM adoption in organizations followed by transmission velocity, rehearsability and symbol set. The findings of this study also confirmed that team performance is not influenced by communication but by the quality of the communication and the level of knowledge within the group that can create using instant messenger. Indeed, this empirical study is one of the limited investigations that combine three theories to explain the IM adoption process and its effect on team performance. Moreover, this study contributes both theoretically and practically to comprehending the adoption process of IM. Lastly, this study reconfirmed the importance of Media Synchronicity Theory (MST) and Social Presence Theory (SPT) in predicting IM adoption; and the findings of this research extended the applications of the Adaptive Structuration Theory (AST) from the IM perspective, which is, indeed, rare. Finally, this study provides a great foundation for managers to understand the importance of IM in their day-to-day communication systems.

Ecotourism has been recommended for multiple outcomes that foster environmental protection in developing nations. Tourism studies have revealed that ecotourism has several setbacks in Bangladesh, resulting in environmental difficulties, security issues and tourists’ unwillingness to visit destinations. Therefore, this paper examines the factors of destination image, perceived risk, and travel motivation to foresee tourists’ selection of ecotourism destinations in Bangladesh. The framework of this study is built upon the “Stimulus-Response Model of Buyer Behaviour” to address the knowledge gap. A total of 364 usable responses were collected from the tourists. The data were examined using SPSS for primary analysis and SEM-AMOS for hypothesis testing. The findings suggest that a proper image and motivation would encourage tourists to visit ecotourism destinations.

Purpose – This study aims to identify the factors that influence Malaysian non-Muslim consumers’ perception towards buying halal food products. Design/methodology/approach – A structured close-ended questionnaire was used for data collection through a random distribution to 500 non-Muslim consumers from various states in Malaysia. Findings – Using SPSS package, the factor analysis was able to identify three main variables. Later, the hypotheses were tested using structural equation modelling. This study has indicated that the perception of non-Muslim consumers about halal food products is influenced by their attitude, subjective norm and perceived behavioural control, specifically in the context of Malaysia. Research limitations/implications – This finding will help both the academics and the industry food makers in understanding the perception of non-Muslim consumers towards the concept of halal food products. Practical implications – The outcome of the study can serve as a useful reference to relevant Malaysian statutory bodies on the current perception of the Malaysian non-Muslim consumers towards Malaysian halal agenda. This will also help the industry food makers to serve their customers better as well as maximize their profit through a well-planned marketing campaign. Social implications – It prepares a sound basis for Malaysian policymakers to promote the involvement of Malaysian non-Muslim entrepreneurs within the halal food service industry with the intent of improving the socio-economic strata of its participants and, at the same time, fulfilling their religious obligations in providing halal foods for fellow Muslims. Originality/value – Because very few researches have studied non-Muslim consumers’ perception towards halal food products, the development of halal food theory will help in capitalizing the practices in non-Muslim countries.

In this edge, medical tourism is not a new idea. Medical treatment is one of the essential demands of human beings and it requires high quality and intensive care. Beside western world, few developing countries are playing key roles as medical tourism destinations. India is one of the leading names among these countries. The purpose of the paper is to find the factors influencing the attractiveness of India as a health tourism destination. The study has found the major contributing factors and their relative importance in the attractiveness of the health tourism destination that is India from consumers' perspectives by conducting survey with an application of structural equation modelling approach. In Indian context, medical tourists consider service quality and cost mostly to select any medical destination. In addition they also give value to the destination competitiveness but tourist attitude is less important in comparison with other factors affecting their destination choice. Since the study has used structural equation modelling approach to test the hypothesis and figure out the relative importance of the factors, the fundamental indices such as Normed Chi square(less than 3), RMSEA (less than 0.08) and CFI (more than 0.90) values show the overall model fit of the proposed model. In order to transform a country such as India as an attractive and competitive medical tourist destination in this time of globalization, a step should be taken to control cost ensuring the quality of services.

Gold nano-antennas with silica substrate may not be suitable for high power applications such as heat resisted magnetic recording, solar thermophotovoltaics, and nano-scale heat transfer systems. When a laser beam reaches to these nano-antennas, part of the light is absorbed by the metallic regions, leading to a temperature rise of the device. If these devices reach a temperature beyond its Tamman temperature (the temperature at which sintering of atoms or molecules start to occur), the antenna can be damaged. One strategy to allow the antenna to work at higher fluences (energy density) is to employ substrates that can quickly carry the heat away from the antennas. In this paper, we show that high thermal conductivity substrates, such as diamond, can allow the antenna to withstand 20 times higher fluence than a low thermal conductivity silica substrate.

The article's abstract is no available.

Computer-mediated communication has dramatically transformed the human communication landscape by enhancing speed, content and social presence. The world has been experiencing a sharp decline in using email and phone calls due to organizations' rapid adoption of instant messenger (IM) for their day-to-day communication with their stakeholders. Moreover, the world has been experiencing a sharp decline in using email and phone calls since the beginning of the IM era. Hence, the aim of this study is to comprehend the IM adoption process through the lens of three theories. A structured questionnaire was developed to collect data from the organizations and test hypotheses using consistent PLS-SEM (PLSc) in SMART PLS combined with bootstrapping. The results indicated that parallelism is the most dominating factor explaining IM adoption in organizations followed by transmission velocity, rehearsability and symbol set. The findings of this study also confirmed that team performance is not influenced by communication but by the quality of the communication and the level of knowledge within the group that can create using instant messenger. Indeed, this empirical study is one of the limited investigations that combine three theories to explain the IM adoption process and its effect on team performance. Moreover, this study contributes both theoretically and practically to comprehending the adoption process of IM. Lastly, this study reconfirmed the importance of Media Synchronicity Theory (MST) and Social Presence Theory (SPT) in predicting IM adoption; and the findings of this research extended the applications of the Adaptive Structuration Theory (AST) from the IM perspective, which is, indeed, rare. Finally, this study provides a great foundation for managers to understand the importance of IM in their day-to-day communication systems.