Towards a sustainability‐oriented religious tourism

Romanelli, Mauro; Gazzola, Patrizia; Grechi, Daniele; Pollice, Francesca

doi:10.1002/sres.2791

Cited by 23 publications

(12 citation statements)

References 35 publications

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“…In order to collect and synthesize the necessary data for this study, a Systematic Literature Review with Bibliometric Analysis (SLBA) was developed. According to Romanelli et al [ 5 ], performing a bibliometric analysis allows researchers to assess the developments made in a given field, illustrating how the evidence connects to show the structure of the field. In this sense, the methodology was adopted due to its ability to unpack the evolutionary nuances in the fields of Industry 4.0, sensor technology, and product design, while also shedding light on emerging issues in these fields.…”

Section: Methodsmentioning

confidence: 99%

How Industry 4.0 and Sensors Can Leverage Product Design: Opportunities and Challenges

Rosário

Dias

2023

Sensors

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The fourth industrial revolution, also known as Industry 4.0, has led to an increased transition towards automation and reliance on data-driven innovations and strategies. The interconnected systems and processes have significantly increased operational efficiency, enhanced organizational capacity to monitor and control functions, reduced costs, and improved product quality. One significant way that companies have achieved these benefits is by integrating diverse sensor technologies within these innovations. Given the rapidly changing market conditions, Industry 4.0 requires new products and business models to ensure companies adjust to the current and future changes. These requirements call for the evolutions in product design processes to accommodate design features and principles applicable in the current dynamic business environment. Thus, it becomes imperative to understand how these innovations can leverage product design to maximize benefits and opportunities. This research paper employs a Systematic Literature Review with Bibliometric Analysis (SLBA) methodology to explore and synthesize data on how Industry 4.0 and sensors can leverage product design. The results show that various product design features create opportunities to be leveraged to guarantee the success of Industry 4.0 and sensor technologies. However, the research also identifies numerous challenges that undermine the ongoing transition towards intelligent factories and products.

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Section: Methodsmentioning

confidence: 99%

How Industry 4.0 and Sensors Can Leverage Product Design: Opportunities and Challenges

Rosário

Dias

2023

Sensors

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“…This parameter is represented by keywords including Religious, Pilgrimage, Spiritual, Pilgrim, Site, Religion, Sacred, Temple, Experience, Visitor, Heritage, Place, Motivation, Cultural, Muslim, Islamic, Tourism, Destination, and Satisfaction. Looking at the documents related to this parameter, we could find different dimensions of this parameter, including religious tourist motivations [138] [139], religious tourist experiences [140], exploring sacred sites [141], technological developments in religious heritage sites [142], [143], and the role of Religious Tourism for enhancing social and economic growth within local communities [144].…”

Section: Religious Tourismmentioning

confidence: 99%

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Alsahafi¹,

Alzahrani²,

Mehmood³

2023

Preprint

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The Global natural and manmade events are exposing the fragility of the tourism industry and its impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3% to the global GDP and employed 333 million people but saw a significant decline due to the pandemic. Sustainable and smart tourism requires collaboration from all stakeholders and a comprehensive understanding of global and local issues to drive responsible and innovative growth in the sector. This paper presents an approach for leveraging big data and deep learning to dis-cover holistic, multi-perspective (e.g., local, cultural, national, and international) and objective information on a subject. Specifically, we develop a machine learning pipeline to extract parameters from academic literature and public opinions on Twitter, providing a unique and comprehensive view of the industry from both academic and public perspectives. The academic-view dataset was created from the Scopus database and contains 156,759 research articles from 2000 to 2022, which were modelled to identify 33 distinct parameters in 4 categories: Tourism Types, Planning, Challenges, and Media &amp; Technologies. A Twitter dataset of 485,813 tweets was collected over 18 months starting March 2021 to August 2022 to showcase public perception of tourism in Saudi Arabia, which was modelled to reveal 13 parameters categorized into two broader sets: Tourist Attractions and Tourism Services. Discovering system parameters are re-quired to embed autonomous capabilities in systems and for decision-making and problem-solving during system design and operations. The proposed approach improves AI-based information discovery by extending the use of scientific literature, Twitter, and other sources for autonomous, dynamic optimizations of systems, promoting novel research in the tourism sector and contributing to the development of smart and sustainable societies. The paper also presents a comprehensive knowledge structure and literature review of the tourism sector based on over 250 research articles.

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“…The existence of local religions can also be a tourism potential (Romanelli et al, 2021;Hung Lee et al, 2021;Lin et al, 2021;Izwar et al, 2020). An area has a value on the local culture with the perspective of the community, thus making it a separate tourist attraction that is closely related to cultural heritage (Teodorescu et al, 2021;Panzera et al, 2021;Putra et al, 2021;Chen, 2021;Timothy, 2021;Yang et al, 2021;Nurdiani and Felicia, 2020;Crespi-Vallbona, 2021).…”

Section: The Potential Of Religious Tourism Destinations Based On Local Religion In Berjo Villagementioning

confidence: 99%

Management Model of Ecotourism-Based Forest Village Community Land to Increase Local Economic in Karanganyar, Indonesia

Fibrianto¹

2021

GTG

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Berjo Village has the potential for ecotourism which can increase the economic potential of its people. This study aims to determine how Berjo Village manages the potential of natural tourism, agricultural tourism, and improves the economy of forest village communities. The method used is qualitative with a case study approach and triangulation as data validity, and interactive techniques as analysis. The results showed that the economic sector of the people of Berjo Village came from agriculture and tourism. The location of the forest area has high potential to be developed into ecotourism, which consists of Sukuh Temple, Jumog Waterfall, Telaga Madirda, Forest Park, Tenggir Park, Camping Ground or Outbound Tourism, Planggatan Site, Kampung Gunung Palace, Berjo Hydroponics, Ornamental Flower and Cut Flower Centers, Horticultural Plant Nursery Centers, the potential for climbing Mount Lawu by making a basecamp for prospective mountain climbers. All tours are in one location, namely, Berjo Village as an ecotourism destination. Tourism management is carried out by applying the concept of empowerment and the existence of embeddedness among various stakeholders with all the potential for ecotourism in an effort to improve the lives of the people in Berjo Village, Karanganyar Regency, Indonesia.

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Towards a sustainability‐oriented religious tourism

Cited by 23 publications

References 35 publications

How Industry 4.0 and Sensors Can Leverage Product Design: Opportunities and Challenges

How Industry 4.0 and Sensors Can Leverage Product Design: Opportunities and Challenges

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Management Model of Ecotourism-Based Forest Village Community Land to Increase Local Economic in Karanganyar, Indonesia

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