Smart City Big Data Analytics: Urban Technological Innovations and the Cognitive Internet of Things

doi:10.22381/ghir112201910

Cited by 8 publications

(6 citation statements)

References 11 publications

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“…, 2014). Additionally, this study’s findings correspond with studies that have demonstrated the role of digital entrepreneurship in increasing a firm’s performance (Sion, 2019; Zahra, 2021).…”

Section: Discussionsupporting

confidence: 89%

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At the crossroad of digital and tourism entrepreneurship: mediating effect of digitalization in hospitality industry

Suder

Duda²,

Kusa³

et al. 2022

EJIM

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PurposeThis study aims to explore the role of digital technologies in tourism entrepreneurship. In particular, the main objective of this research is to examine the relationships among proactiveness, innovativeness, digitalization, and firm performance and growth in the hotel industry.Design/methodology/approachThe data for this investigation were collected from 110 one- or two-star hotels that were operating in Poland during the time of this research. This study employs PLS-SEM to analyze the relationships among the examined variables.FindingsThe results show that digitalization has a significantly positive impact on a hotel’s performance. Moreover, digitalization mediates the impact of entrepreneurial behaviors on performance. In particular, digitization is a full mediator for the impact of proactiveness on firm growth and innovation on market performance. Additionally, there is a partial complementary mediation effect of digitalization in the case of impact of innovativeness on firm growth; digitization is not a mediator for the impact of proactiveness on firm growth.Originality/valuePrevious studies have not captured the relationships among entrepreneurship, digitalization, and performance; this study helps to fill the gap and examine these associations in the hospitality industry. The outcome of this study provides valuable insights for hoteliers for understanding the role (and importance) of digitalization in the context of proactiveness and innovativeness.

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Section: Discussionsupporting

confidence: 89%

“…, 2019). Recent studies have shown that digital entrepreneurship enhances business competitiveness, performance, and productivity (Sion, 2019; Zahra, 2021).…”

Section: Introductionmentioning

confidence: 99%

At the crossroad of digital and tourism entrepreneurship: mediating effect of digitalization in hospitality industry

Suder

Duda²,

Kusa³

et al. 2022

EJIM

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“…The purpose of the research is to investigate how a graduate IT student can quickly and effectively gain the knowledge needed to gain access to the labour market (Sion, 2019) and become a skilful practitioner in his/her field during the process of knowledge transfer and collaboration between teachers and practitioners. These can be brought together in a CoP used within a traditional university course.…”

Section: Methodsmentioning

confidence: 99%

Community of practice: converting IT graduate students into specialists via professional knowledge sharing

Stanca

Dabija

Păcurar

2021

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Purpose The paper aims to highlight how an applied learning framework or “community of practice” (CoP) combined with a traditional theoretical course of study enables the identification of teaching-learning processes which facilitate knowledge transfer from practitioners to graduate information technology (IT) students for quicker integration in the labour market. Design/methodology/approach CoPs are identified based on cluster analysis according to Kolb’s Learning Style Inventory (1984), with data obtained through a survey. Empirical research is applied to the CoP developed within a non-formal learning framework, principal new actors being IT specialists linked to graduate IT students and teachers on a traditional university course. Graduate IT students can gain knowledge of the ideal employee and the social and emotional skills needed to integrate with the IT labour market. Findings The K-Means algorithm helps to identify clusters of graduate IT students displaying necessary knowledge acceptance behaviour to convert them into specialists. The results of the cluster analysis show different learning styles of the labour force, providing an overview of candidate selection methods and the knowledge, skills and attitudes expected by users. Research limitations/implications Although the research adds value to the existing literature on learning styles and the knowledge and core skills needed by IT specialists, it was limited to an emerging market. Originality/value The study provides a preliminary overview of graduate IT students’ attitudes from an emerging market to the re-engineering of academic learning contexts to facilitate professional knowledge transfer, converting them into IT practitioners and integrating them in the labour market of an emerging economy.

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“…The developed model will be a useful tool for administrators and project analysts in such decision-making processes; it can be used to avoid ineffective financing of projects and to obtain resources from EU funds. From a long-term perspective, the need to develop tools that can be used to compare and evaluate the effectiveness of decision-making processes in various sectors when using resources drawing on EU funds has been highlighted, leading to the development of benchmarking indicators ( 65 , 66 ). Their absence in the healthcare system to date is the result of not only the methodological complexity and strong heterogeneity of the healthcare systems, but also a lack of effort on the part of research teams to search for optimal decision-making mechanisms and indicators for their evaluation ( 67 ).…”

Section: Discussionmentioning

confidence: 99%

A fuzzy decision support model for the evaluation and selection of healthcare projects in the framework of competition

Gavurová

Келемен

Polishchuk

et al. 2023

Front. Public Health

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Our research aims to support decision-making regarding the financing of healthcare projects by structural funds with policies targeting reduction of the development gap among different regions and countries of the European Union as well as the achievement of economic and social cohesion. A fuzzy decision support model for the evaluation and selection of healthcare projects should rank the project applications for the selected region, accounting for the investor's wishes in the form of a regional coefficient in order to reduce the development gap between regions. On the one hand, our proposed model evaluates project applications based on selected criteria, which may be structured, weakly structured, or unstructured. On the other hand, it also incorporates information on the level of healthcare development in the region. The obtained ranking increases the degree of validity of the decision regarding the selection of projects for financing by investors, considering the level of development of the region where the project will be implemented. At the expense of European Union (EU) structural funds, a village, city, region, or state can receive funds for modernization and development of the healthcare sector and all related processes. To minimize risks, it is necessary to implement adequate support systems for decision-making in the assessment of project applications, as well as regional policy in the region where the project will be implemented. The primary goal of this study was to develop a complex fuzzy decision support model for the evaluation and selection of projects in the field of healthcare with the aim of reducing the development gap between regions. Based on the above description, we formed the following scientific hypothesis for this research: if the project selected for financing can successfully achieve its stated goals and increase the level of development of its region, it should be evaluated positively. This evaluation can be obtained using a complex fuzzy model constructed to account for the region's level of development in terms of the availability and quality of healthcare services in the region where the project will be implemented.

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Smart City Big Data Analytics: Urban Technological Innovations and the Cognitive Internet of Things

Cited by 8 publications

References 11 publications

At the crossroad of digital and tourism entrepreneurship: mediating effect of digitalization in hospitality industry

At the crossroad of digital and tourism entrepreneurship: mediating effect of digitalization in hospitality industry

Community of practice: converting IT graduate students into specialists via professional knowledge sharing

A fuzzy decision support model for the evaluation and selection of healthcare projects in the framework of competition

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