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Article
Publication date: 26 February 2025

Michal Apollo

Transportation infrastructure and destination accessibility are essential in developing the tourism industry. However, the situation is somewhat different in mountain peripheral…

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Abstract

Purpose

Transportation infrastructure and destination accessibility are essential in developing the tourism industry. However, the situation is somewhat different in mountain peripheral areas, where poor accessibility is a kind of tourist attraction but also a driver of regional development. Thus, improving accessibility by “a bridge too far” can mean not just a lack of development but its regression and even the end of mountain tourism as we know it.

Design/methodology/approach

This exploratory ethnographic study aims to understand accessibility improvement and its impact on local communities. The data were collected in the Nepalese Khumbu region, which is the home of the Everest Base Camp Trek. Based on 18 in-depth interviews, this paper tested a proposed model of the evolution of a peripheral mountain area under the influence of transport development.

Findings

This study demonstrates the threats to local communities from the transport development (road and air) and improved tourist accessibility of a peripheral area that profits from its peripherality. Research shows unequivocally that transport development may result in the loss of business for many of them. Overall, in the opinion of the local communities, unplanned road and air transport development is destroying mountain tourism in this area.

Originality/value

To date, research on accessibility development in mountainous areas shows the main positive sides of change. This article contributes to understanding how accessibility improvements change people’s lives and how these changes can become “community killer”.

Details

Journal of Tourism Futures, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2055-5911

Keywords

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Book part
Publication date: 6 May 2024

Mehwish Ali, Majdi Hassen and Sarmad Saeed Sheikh

This study investigates the impact of corporate social responsibility (CSR) on corporate innovation. We selected the listed nonfinancial firms of South Asian Economies. The sample…

Abstract

This study investigates the impact of corporate social responsibility (CSR) on corporate innovation. We selected the listed nonfinancial firms of South Asian Economies. The sample of the study comprised a total of 426 listed manufacturing firms of South Asian Countries for period spans 10 years from 2012 to 2021. In this study, descriptive statistics, multicollinearity diagnostic tests, correlation analysis and two-step dynamic panel system generalized method of moments (GMM) were applied to analyze the data. CSR measured with three proxies' social indicators, environmental indicators, and CSR composite index of social and environmental indicators. However, corporate innovation is captured with number of citations received in a year and number of patents filed in the year. Overall, findings of the study using all measures of CSR shows that CSR significantly and positively related with corporate innovation. Our results find support for CSR-innovation view with all measures of CSR. The findings suggest that the current study is helpful for managers, regulators, policymakers, and researchers. For managers, the study helps them to make the CSR and innovation decision. The policymakers should take appropriate innovative decision while considering factors such as CSR. This study can also be extended by considering this study for developed and emerging economies sample.

Details

The Emerald Handbook of Ethical Finance and Corporate Social Responsibility
Type: Book
ISBN: 978-1-80455-406-7

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Article
Publication date: 28 June 2024

Haihua Chen, Jeonghyun (Annie) Kim, Jiangping Chen and Aisa Sakata

This study aims to explore the applications of natural language processing (NLP) and data analytics in understanding large-scale digital collections in oral history archives.

201

Abstract

Purpose

This study aims to explore the applications of natural language processing (NLP) and data analytics in understanding large-scale digital collections in oral history archives.

Design/methodology/approach

NLP and data analytics were used to analyse the oral interview transcripts of 904 survivors of the Japanese American incarceration camps collected from Densho Digital Repository, relying specifically on descriptive analysis, keyword extraction, topic modelling and sentiment analysis (SA).

Findings

The researchers found multiple geographic areas of large residential communities of ethnic Japanese people and the place names of the concentration camps. The keywords and topics extracted reflect the deplorable conditions and militaristic nature of the camps and the forced labour of the internees. When remembering history, the main focus for the narrators remains the redress and reparation movement to obtain the restitution of their civil rights. SA further found that the forcible removal and incarceration of Japanese Americans during Second World War negatively impacted and brought deep trauma to the narrators.

Originality/value

This case study demonstrated how NLP and data analytics could be applied to analyse oral history archives and open avenues for discovery. Archival researchers and the general public may benefit from this type of analysis in making connections between temporal, spatial and emotional elements, which will contribute to a holistic understanding of individuals and communities in terms of their collective memory.

Details

The Electronic Library , vol. 42 no. 4
Type: Research Article
ISSN: 0264-0473

Keywords

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