Adoption of Internet of Things in Healthcare Organizations

Cicibas, Halil; Yıldırım, Sevgi Özkan

doi:10.1007/978-3-319-73135-3_17

Cited by 4 publications

(4 citation statements)

References 72 publications

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“…On the other hand, environment criteria were found as the least addressed article in our study. It was found that cost is not the main barrier while technical and security-related issues remain as the main factors that influence technology adoption in healthcare information systems, which was also mentioned in (Cicibas and Yildirim, 2018) In this research, an adoption map is developed for the health monitoring system. We believe that such a map would assist to understand the factors that influence technology acceptance and usage decision.…”

Section: Discussionmentioning

confidence: 98%

Adoption Factors of Health Monitoringsystems for Smart Healthcare: A Systematicreview

Cicibas¹,

Yıldırım²

2019

12th IADIS International Conference Information Systems 2019

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Although there have been several studies that focus on technical aspects of health monitoring systems, adoption of these systems remains largely unknown. A limited number of researches has explored the factors influencing users' adoption of these systems that provide successful system implementation. In this study, we reviewed articles addresses the adoption of health monitoring systems. We extract criteria that influence the adoption decision that has been made at some stage to use health monitoring systems. Then group these criteria into nine categories in terms of cost, ease of use, environment, knowledge, management, security, social influence, subjective norm, technical, usefulness, and enjoyment. By using these criteria, we develop an adoption model for health monitoring systems.

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Section: Discussionmentioning

confidence: 98%

Adoption Factors of Health Monitoringsystems for Smart Healthcare: A Systematicreview

Cicibas¹,

Yıldırım²

2019

12th IADIS International Conference Information Systems 2019

Self Cite

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show abstract

“…This finding is consistent with the results of Shi and Yan [31] according to whom technical knowledge affects the adoption of RFID positively in the distribution industries related to agricultural products. As Cicibas and Yildirim [89] have stated, technical knowledge is important for the decision-makers in the adoption processes. Kleinveld and Janssen [90] also indicated that technical knowledge relevant to business fields and performance contributes significantly to the IT departments and is considered one of the central capabilities in the coordination of sourced IT functions.…”

Section: Key Findingsmentioning

confidence: 99%

Driving Agricultural Transformation: Unraveling Key Factors Shaping IoT Adoption in Smart Farming with Empirical Insights

Bahari,

Arpaci,

Der

et al. 2024

Sustainability

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The Internet of Things (IoT) holds immense potential for the social and economic development of developing countries, as recognized by academia and professionals. However, there is a notable lack of theoretical research on IoT adoption within agricultural settings. To address this gap, this study introduces a model focusing on nine critical “Technology-Organization-Environment” (TOE) factors. Empirical validation was conducted using data from 179 managers in diverse agricultural organizations. The research model was evaluated by using “Partial Least Squares Structural Equation Modeling” (PLS-SEM). The results underscored the significance of governmental support and technological compatibility in driving IoT adoption. Moreover, financial considerations within organizations and the evolving digital landscape were identified as key influencers of smart farm adoption. This study offers valuable insights with significant implications for sustainable IoT adoption in research and practical applications.

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“…Criteria References Technology Technology Infrastructure [49], [50] Compatibility [51], [52], [53], [54], [55], [56] Complexity [55], [53] Technology Competence [53], [57] Security Concern [49], [51], [54] Perceived Benefits [55], [49], [51], [58] Technology Integration [49], [59] Organization Top management support [54], [60], [55], [61] Organizational readiness [49], [62], [63] Technical Knowledge [55], [64], [65] Executive Support [53], [55], [52] Firm size [53], [52], [54], [63] Financial resource [66], [67] Perceived Cost [55], [51], [56], [58], [54] Prior IT experience [68], [69], ...…”

Section: Main Factorsmentioning

confidence: 99%

Effect of internet of things on manufacturing performance: A hybrid multi-criteria decision-making and neuro-fuzzy approach

et al. 2022

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Adoption of Internet of Things in Healthcare Organizations

Cited by 4 publications

References 72 publications

Adoption Factors of Health Monitoringsystems for Smart Healthcare: A Systematicreview

Adoption Factors of Health Monitoringsystems for Smart Healthcare: A Systematicreview

Driving Agricultural Transformation: Unraveling Key Factors Shaping IoT Adoption in Smart Farming with Empirical Insights

Effect of internet of things on manufacturing performance: A hybrid multi-criteria decision-making and neuro-fuzzy approach

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