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1 – 4 of 4Rimsha Khalid, Rajinder Kumar, Rupa Sinha, Kareem M.M. Selem and Mohsin Raza
Given the prevalence of protecting geoheritage tourism sites, Ladakh has enormous potential. However, Ladakh’s potential and developments in its growth as a geotourism destination…
Abstract
Purpose
Given the prevalence of protecting geoheritage tourism sites, Ladakh has enormous potential. However, Ladakh’s potential and developments in its growth as a geotourism destination have received scant consideration. As such, this paper aims to explore Ladakh’s key drivers as a potential geotourism destination through cognitive dissonance and protection motivation theories.
Design/methodology/approach
This paper conducted in-depth interviews with 86 geoscientists and tourism professionals to assess Ladakh’s potential as a geotourism destination. This paper used a qualitative approach to congregate four constructs based on the image difference of the consensus map.
Findings
Because of the interviewees’ heterogeneity and uniqueness, meaningful constructs in the consensus were included for each figure and cloud words. This paper concluded that four drivers are the main forces behind geotourism development.
Originality/value
This paper explores the drivers – geotourism services, legislative requirements, experiential geotourism and SPARC (scientific, preservation, aesthetic, recreational, cultural) values – affecting geotourism in Ladakh. It is feasible to lessen the negative effects of overtourism and make sure that Ladakh’s distinctive nature is preserved for future generations by implementing sustainable tourism practices.
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Keywords
Sonia Singh, Ankita Bansal, Rajinder Sandhu and Jagpreet Sidhu
This paper has proposed a Fog architecture-based framework, which classifies dengue patients into uninfected, infected and severely infected using a data set built in 2010. The…
Abstract
Purpose
This paper has proposed a Fog architecture-based framework, which classifies dengue patients into uninfected, infected and severely infected using a data set built in 2010. The aim of this proposed framework is to developed a latency-aware system for classifying users into different categories based on their respective symptoms using Internet of Things (IoT) sensors and audio and video files.
Design/methodology/approach
To achieve the aforesaid aim, a smart framework is proposed, which consist of three components, namely, IoT layer, Fog infrastructure and cloud computing. The latency of the system is reduced by using network devices located in the Fog infrastructure. Data generated by IoT layer will first be processed by Fog layer devices which are in closer proximity of the user. Raw data and data generated will later be stored on cloud infrastructure, from where it will be sent to different entities such as user, hospital, doctor and government healthcare agencies.
Findings
Experimental evaluation proved the hypothesis that using the Fog infrastructure can achieve better response time for latency sensitive applications with the least effect on accuracy of the system.
Originality/value
The proposed Fog-based architecture can be used with IoT to directly link it with the Fog layer.
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Rajinder Bhandal, Royston Meriton, Richard Edward Kavanagh and Anthony Brown
The application of digital twins to optimise operations and supply chain management functions is a bourgeoning practice. Scholars have attempted to keep pace with this development…
Abstract
Purpose
The application of digital twins to optimise operations and supply chain management functions is a bourgeoning practice. Scholars have attempted to keep pace with this development initiating a fast-evolving research agenda. The purpose of this paper is to take stock of the emerging research stream identifying trends and capture the value potential of digital twins to the field of operations and supply chain management.
Design/methodology/approach
In this work we employ a bibliometric literature review supported by bibliographic coupling and keyword co-occurrence network analysis to examine current trends in the research field regarding the value-added potential of digital twin in operations and supply chain management.
Findings
The main findings of this work are the identification of four value clusters and one enabler cluster. Value clusters are comprised of articles that describe how the application of digital twin can enhance supply chain activities at the level of business processes as well as the level of supply chain capabilities. Value clusters of production flow management and product development operate at the business processes level and are maturing communities. The supply chain resilience and risk management value cluster operates at the capability level, it is just emerging, and is positioned at the periphery of the main network.
Originality/value
This is the first study that attempts to conceptualise digital twin as a dynamic capability and employs bibliometric and network analysis on the research stream of digital twin in operations and supply chain management to capture evolutionary trends, literature communities and value-creation dynamics in a digital-twin-enabled supply chain.
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Ria Christine Siagian and Jorge Emilio Osorio
The purpose of this paper is to identify, analyze and describe the novel approaches that affect vaccine development in lower-middle income countries (LMICs).
Abstract
Purpose
The purpose of this paper is to identify, analyze and describe the novel approaches that affect vaccine development in lower-middle income countries (LMICs).
Design/methodology/approach
The vaccine market in LMICs currently focuses on traditional Expanded Program for Immunization vaccines instead of new ones. Unlike the successful introduction of those traditional vaccines, the introduction of new vaccines appears to be very slow, mainly due to financial issues. This paper systematically reviews a set of published papers on vaccine development and analyzes them against a specific region-setting framework.
Findings
Public–private partnership alone could not ensure long-term vaccine sustainability. Several factors that encourage domestic vaccine development were identified. The findings demonstrate that the regulatory approach of hybrid collaboration and market opportunity strategies can be a major breakthrough for domestic vaccine development in LMICs.
Research limitations/implications
Further research is required to include qualitative and quantitative methods for policy analysis, as all of the discussion in this research focused on literature reviews. The authors did not discuss how strategic decisions are affected from a political perspective and this needs to be specified in future research. Think tanks, considerably and fundamentally, affect policy ideas and decisions. However, important breakthroughs continue to be made at the same time.
Social implications
The development of vaccines in LMICs is expected to be a mechanism to overcome the inadequate access to vaccines in those countries, as solving this problem requires tackling issues from both the supply and demand sides.
Originality/value
This is a literature review that creates recommendation and approaches for domestic vaccine development in LMICs. This review aims to encourage LMICs to produce their own vaccines for sustainability of the vaccine access through vaccine development lifecycle, instead of expecting donor that provides funding and vaccines (vaccine access) in certain period of time. Donor is not always the solution for the problem, since vaccine development requires finance to function infrastructure. There are many efforts in revoking this, including World Health Organization through several reports; however, this effort still has many doubts. Therefore, the article would like to try to see this as a viable solution from the policy perspectives, with several examples to make recommendations more practical.
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