Data sharing concepts: a viable system model diagnosis

Perko, Igor

doi:10.1108/k-04-2022-0575

Cited by 4 publications

(3 citation statements)

References 54 publications

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“…Perko (2023) examined the concept of data sharing using VSM. He proposes and verifies a standardised, ethically acceptable data-sharing model based on the importance of personal behavioural data, fuelling AI reasoning.…”

Section: Discussionmentioning

confidence: 99%

“…These concepts are related to a requisite level of digitally (un)verifiable trust in digital and real-world perspectives. Perko (2023) examined the concept of data sharing using VSM. He proposes and verifies a standardised, ethically acceptable data-sharing model based on the importance of personal behavioural data, fuelling AI reasoning.…”

Section: Discussionmentioning

confidence: 99%

“…2.5 Data sharing concepts: a viable system model diagnosis (Perko, 2023) AI reasoning is fuelled by high-quality, detailed behavioural data. These data can usually be collected from the biometrical sensors embedded in smart devices.…”

Section: 3mentioning

confidence: 99%

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Guest editorial: CyberSystemic implications on the future of societies

Perko

2023

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Guest editorial: CyberSystemic implications on the future of societies

Perko

2023

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Halal industry in Uzbekistan: analysis using the Viable System Model

Adham

Masood

Muhamad

et al. 2023

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PurposeUzbekistan, a former Soviet Union state whose population is 96% Muslim, is aiming to penetrate the global halal market. Since 2016, its government has been committed to establishing a halal economy, purportedly comprising halal product exports and inbound halal tourism services. Given that a conducive halal ecosystem is a critical condition for creating and sustaining a viable halal economy, the current condition of the halal industry in the country must be diagnosed. For this purpose, we developed a diagnostic framework based on the halal principles and the Viable System Model (VSM) to identify the existing players and stakeholders in the halal industry ecosystem in Uzbekistan and their respective roles and functions, as well as the information flows amongst them.Design/methodology/approachThe study utilised the qualitative methodology with the data gathered mainly from in-depth interviews with industry experts and consumers in Uzbekistan.FindingsThe findings revealed that the country has considerable potential to develop its halal tourism market due to its beautiful landscape, rich history and cultural heritage, which is supported by a full-fledged development policy. Uzbekistan's industrial sector exhibits substantial readiness to serve the Muslim market; however, the country lacks a specific policy for the development of the halal manufacturing export industry.Originality/valueOur findings generate emergent themes that are relevant to the operations and future viability of halal industry of a Muslim country in a transitioning economy. These emerging themes further strengthened existing conceptualisation of the Viable System Model in terms of the elements of the environment and the function of policymaking in contributing toward a system's viability. Implications of the findings and suggestions for future research are also provided.

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Unravelling tourism destination's competitiveness using big data analytics: a comparative analysis

Penpece Demirer,

Büyükeke

2024

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PurposeThe competitiveness of destinations is crucial for tourism. In this context, the study aims to uncover customer satisfaction, experiences, feelings, and thoughts by conducting a comparative analysis of social media comments from various competitive tourism destinations.Design/methodology/approachBig data research was conducted to answer the research questions. The data was collected on a social media platform focusing on three destinations in the Mediterranean region. Three methods were employed to analyse the data: sentiment analysis, topic modelling, and named-entity recognition.FindingsThis study addressed traveller satisfaction levels. It identified the topics concerning each destination, examined the emotions expressed by travellers about these topics, explored the potential impact on future behaviour, and investigated the features of the destinations and satisfaction levels about these features. It also identified the prominent food and beverage names in destinations and explored tourists’ preferences regarding these foods and beverages.Research limitations/implicationsThe limitations of this study relate to the sample. The data used in this study was solely obtained from a single social media platform and focused on English-only comments. Further research that includes different social media platforms for hotel categories and considers reviews in local languages could capture a broader range of customer opinions and experiences.Practical implicationsPolicymakers can gain insight into a destination’s position in the competitive landscape. This study has numerous implications for policymakers in the relevant destinations and managers in the design and implementation of services.Social implicationsThe findings of this study can have broader societal implications if considered and implemented by decision-makers and tourism businesses in the context of competitiveness.Originality/valueThe study’s originality lies in integrating multiple disciplines and comparing tourism destinations using big data. This study improves the understanding of competitiveness in three specific Mediterranean destinations. Previous research has focused on different contexts in these Mediterranean destinations. Therefore, the study fills this gap by focusing simultaneously on all three destinations in the context of competitiveness.

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Data sharing concepts: a viable system model diagnosis

Cited by 4 publications

References 54 publications

Guest editorial: CyberSystemic implications on the future of societies

Guest editorial: CyberSystemic implications on the future of societies

Halal industry in Uzbekistan: analysis using the Viable System Model

Unravelling tourism destination's competitiveness using big data analytics: a comparative analysis

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