Rigin Sebastian, Noufal Naheem Kottekkadan, Toney K. Thomas and Mohammed Niyas KK
This paper aims to critically examine the implications of using generative artificial intelligence (AI) models, such as ChatGPT and Bard, in social science research. It examines…
Abstract
Purpose
This paper aims to critically examine the implications of using generative artificial intelligence (AI) models, such as ChatGPT and Bard, in social science research. It examines the doppelganger effect in AI-driven studies as well as cognitive dissonance brought on by the autonomy of these tools. The discussion also addresses the debate between quantitative and qualitative methods for evaluating AI-driven research, scrutinising existing guidelines for accountability and validity. In addition, the paper considers the potential for generative AI to dominate research, identifying “non-takeoverable” skills and ethical issues in AI-driven knowledge production.
Design/methodology/approach
This work primarily focuses on research articles for conceptual clarity, while news media reports are used to illustrate current scenarios.
Findings
The doppelganger effect makes people worry about situations in which AI copies existing work so well that it becomes possible for people to give the wrong credit. This has led to a critical review of ways to make sure that the outputs of generative AI are real and original. Generative AI can enhance data collection and analysis, offering alternative approaches to traditional research methodologies. By leveraging the capabilities of generative AI, researchers can potentially uncover new insights and perspectives from their data.
Originality/value
It is crucial to acknowledge the ethical concerns associated with using generative AI in social science research. The deployment of such technology introduces the possibility of biases and other ethical challenges that may impact the cognitive abilities of human participants or researchers involved in the research process. The work makes an effort by encouraging ethical consideration and highlighting crucial human abilities that are still necessary, providing a novel viewpoint on the use of generative AI in research approaches.
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Vikneswaran Nair, Badaruddin Mohamed, Toney K. Thomas and Richard Teare
This paper profiles the WHATT theme issue “How can the tourism industry respond to the global challenges arising from climate change and environmental degradation?” by drawing on…
Abstract
Purpose
This paper profiles the WHATT theme issue “How can the tourism industry respond to the global challenges arising from climate change and environmental degradation?” by drawing on reflections from the theme editors and theme issue outcomes, including case study examples from Malaysia, New Zealand and Canada.
Design/methodology/approach
This paper uses structured questions to enable the theme editors to reflect on the rationale for the theme issue question, the starting point, the selection of the writing team, the material and the editorial process.
Findings
This paper uses case studies to illustrate how the tourism industry is responding to climate change issues. Additionally, team members of the theme issue from Australia, India, Germany, Malaysia and Canada review some of the latest thinking on the relationships between tourism and climate change.
Practical implications
This paper outlines challenges and new approaches to the management of climate change in tourism.
Originality/value
Explores the extent to which innovative approaches, discussed in this theme issue, could be replicated and applied in countries that have yet to take action on tourism-related climate change.
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Vikneswaran Nair, Badaruddin Mohamed and Toney K. Thomas
The aim of this paper is to critically review the contribution made by this theme issue in responding to the strategic question: “How can the tourism industry respond to the…
Abstract
Purpose
The aim of this paper is to critically review the contribution made by this theme issue in responding to the strategic question: “How can the tourism industry respond to the global challenges arising from climate change and environmental degradation?”
Design/methodology/approach
A critical content analysis of the papers selected for the theme issue was undertaken to learn from the best practices globally. This enabled the theme editors to reflect on the rationale for the theme issue question, the starting-point and the editorial process.
Findings
This summary paper highlights the most significant outcomes from the theme issue in terms of the contributions to knowledge and/or professional practice. It also summarizes the implications for management action and applied research arising from the outcomes and best practices based on case studies in Malaysia, Canada and New Zealand. As the main objective of the theme issue was to obtain a general overview of the relationship between tourism and climate change, five general review papers were included to strengthen the research framework.
Research limitations/implications
This paper outlines the challenges and new approaches in dealing with the issue of climate change. Given the economic, social and environmental significance of tourism, coverage of the climate change issue as it relates to tourism is, yet, limited. Given this scenario, the theme issue has contributed to the body of knowledge in this important field.
Originality/value
This paper explores the extent to which the cases presented and the review of various climate change concepts can provide guidance. The approaches and issues discussed in this theme issue could be replicated and applied in countries that are beginning to focus on climate change issues.
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Anh T. P. Le, Puvaneswaran Kunasekaran, S. Mostafa Rasoolimanesh, Neethiahnanthan AriRagavan and Toney K. Thomas
This study aims to propose a comprehensive model to help understand factors influencing the intention to participate in a destination management system (DMS) amongst tourism…
Abstract
Purpose
This study aims to propose a comprehensive model to help understand factors influencing the intention to participate in a destination management system (DMS) amongst tourism stakeholders in Vietnam which are considered as the determinants of the successful implementation of the system.
Design/methodology/approach
A survey was conducted to investigate key stakeholders' opinions of participating in a DMS. In total, 301 questionnaires were used for analysis. Partial least squares structural equation modelling (PLS-SEM) was used to assess the measurement and structural models of the study.
Findings
Factors that influence various tourism stakeholders' intention to participate in the national DMS in Vietnam have been identified and examined. The results identify the important predictors of the tourism stakeholders' participation in the DMS including information quality, DMS operator readiness, government regulations and technology awareness. Interestingly, technology awareness was ascertained as a significant mediator for the relationship between performance expectancy, social influence, technology competency, competitive pressure and the intention to participate in the DMS.
Originality/value
This study has a unique theoretical contribution by developing a comprehensive model to predict the intention to participate in a DMS amongst tourism stakeholders with the modification and combination of three theoretical models and frameworks: the unified theory of acceptance and use of technology (UTAUT) model, technology–organisation–environment (TOE) framework and updated DeLone and McLean information systems (D&M IS) success model. It is expected to be a useful reference source for tourism management departments that want to develop DMSs in Vietnam. This model also can be used as an initial investigation for DMS implementation studies at other destinations.
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In many situations, India is positioned as one of the world's most economically active countries, with richer touristic acquisitions. India dominates touristic values and…
Abstract
In many situations, India is positioned as one of the world's most economically active countries, with richer touristic acquisitions. India dominates touristic values and development in many scenarios. India shapes and reshapes tourism in a comparatively different manner than the rest of the tourist-generating regions, riding the waves of Asian domination in tourism development. This chapter examines the transformative features of Indian tourism in terms of resources, social development, tourist mechanisms inside the country and various types of tourism industry modelling. Domestic, inbound and outbound tourism perspectives have been taken from both insiders' and outsiders' perspectives. The chapter also highlights the comparative similarities and differences between Indian tourism and some of the selected tourist-generating regions in the world.
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This chapter examines how Industrial Revolution 4.0 (IR 4.0) influences shape and reshapes the tourism industry. Tourism 4.0 technology enables user engagement with a system…
Abstract
Purpose
This chapter examines how Industrial Revolution 4.0 (IR 4.0) influences shape and reshapes the tourism industry. Tourism 4.0 technology enables user engagement with a system, improvement of the real tourist experience and the development of new approaches to influence behaviour change and even long-term user transformation.
Design/Methodology/Approach
Using an in-depth review of existing data, this chapter explains IR 4.0 and its integration into the tourism industry, especially on tourist behaviour.
Findings
Although technology integrates very slowly into the tourism industry, its phase of integration, especially Industry 4.0, is highly evident. Technology proved that it could enhance products and services in tourism and with its optimal use it can sustainably integrate into the tourism industry.
Novelty
Service is still the keyword for tourism, and at a certain level, services are integrated into the tourism industry for standardisation and consistency. The recent global pandemic paves the way for several alternatives to integrate technology into the services.