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Open Access
Book part
Publication date: 7 February 2024

Zhanna Novikov, Sara J. Singer and Arnold Milstein

Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, products, or services in health care, is both particularly important and especially…

Abstract

Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, products, or services in health care, is both particularly important and especially challenging. One known problem with adoption and implementation of new technologies is that, while organizations often make innovations immediately available, organizational actors are more wary about adopting new technologies because these may impact not only patients and practices but also reimbursement. As a result, innovations may remain underutilized, and organizations may miss opportunities to improve and advance. As innovation adoption is vital to achieving success and remaining competitive, it is important to measure and understand factors that impact innovation diffusion. Building on a survey of a national sample of 654 clinicians, our study measures the extent of diffusion of value-enhancing care delivery innovations (i.e., technologies that not only improve quality of care but has potential to reduce care cost by diminishing waste, Faems et al., 2010) for 13 clinical specialties and identifies healthcare-specific individual characteristics such as: professional purview, supervisory responsibility, financial incentive, and clinical tenure associated with innovation diffusion. We also examine the association of innovation diffusion with perceived value of one type of care delivery innovation – artificial intelligence (AI) – for assisting clinicians in their clinical work. Responses indicate that less than two-thirds of clinicians were knowledgeable about and aware of relevant value-enhancing care delivery innovations. Clinicians with broader professional purview, more supervisory responsibility, and stronger financial incentives had higher innovation diffusion scores, indicating greater knowledge and awareness of value-enhancing, care delivery innovations. Higher levels of knowledge of the innovations and awareness of their implementation were associated with higher perceptions of the value of AI-based technology. Our study contributes to our knowledge of diffusion of innovation in healthcare delivery and highlights potential mechanisms for speeding innovation diffusion.

Details

Research and Theory to Foster Change in the Face of Grand Health Care Challenges
Type: Book
ISBN: 978-1-83797-655-3

Keywords

Open Access
Book part
Publication date: 9 December 2021

David J. Harper, Darren Ellis and Ian Tucker

This chapter focusses on the ethical issues raised by different types of surveillance and the varied ways in which surveillance can be covert. Three case studies are presented…

Abstract

This chapter focusses on the ethical issues raised by different types of surveillance and the varied ways in which surveillance can be covert. Three case studies are presented which highlight different types of surveillance and different ethical concerns. The first case concerns the use of undercover police to infiltrate political activist groups over a 40-year period in the UK. The second case study examines a joint operation by US and Australian law enforcement agencies: the FBI’s operation Trojan Shield and the AFP’s Operation Ironside. This involved distributing encrypted phone handsets to serious criminal organisations which included a ‘backdoor’ secretly sending encrypted copies of all messages to law enforcement. The third case study analyses the use of emotional artificial intelligence systems in educational digital learning platforms for children where technology companies collect, store and use intrusive personal data in an opaque manner. The authors discuss similarities and differences in the ethical questions raised by these cases, for example, the involvement of the state versus private corporations, the kinds of information gathered and how it is used.

Details

Ethical Issues in Covert, Security and Surveillance Research
Type: Book
ISBN: 978-1-80262-414-4

Keywords

Open Access
Article
Publication date: 15 December 2022

Kawsar Uddin Mahmud and Nasrin Jabin

The Ukraine crisis, which began with Russia's military intervention, has violently jolted the modern world. The egregious Russian invasion of Ukraine, on the other hand, has…

Abstract

The Ukraine crisis, which began with Russia's military intervention, has violently jolted the modern world. The egregious Russian invasion of Ukraine, on the other hand, has arguably altered the trajectory of the world order. This whiff of war does not exclude any state because all states in the world system are economically, politically, and socially interconnected and dependent on one another. Bangladesh is also feeling the effects of the Ukraine crisis. The crisis has highlighted some challenging aspects of Bangladesh's foreign policy, testing the robustness and independence of its decision-making process regarding United Nations resolutions. Myanmar, like Bangladesh, has appeared befuddled in its response to the crisis. This paper examines how Bangladesh and Myanmar's foreign policy anticipated an unwanted labyrinth by the crisis, which made its moral credibility critical to some extent. Furthermore, the paper discusses how these two countries’ foreign policy trajectories became entangled at a difficult crossroads. We used secondary data sources backed up by scholarly works on Bangladesh and Myanmar foreign policy, relevant books, recent reports, and writings on the subject for this article. This paper also sheds light on Bangladesh's U-Turn in supporting and speaking out in support of the UN resolution on Ukraine's humanitarian crisis.

Details

Southeast Asia: A Multidisciplinary Journal, vol. 22 no. 2
Type: Research Article
ISSN: 1819-5091

Keywords

Open Access
Article
Publication date: 17 July 2020

Mukesh Kumar and Palak Rehan

Social media networks like Twitter, Facebook, WhatsApp etc. are most commonly used medium for sharing news, opinions and to stay in touch with peers. Messages on twitter are…

1148

Abstract

Social media networks like Twitter, Facebook, WhatsApp etc. are most commonly used medium for sharing news, opinions and to stay in touch with peers. Messages on twitter are limited to 140 characters. This led users to create their own novel syntax in tweets to express more in lesser words. Free writing style, use of URLs, markup syntax, inappropriate punctuations, ungrammatical structures, abbreviations etc. makes it harder to mine useful information from them. For each tweet, we can get an explicit time stamp, the name of the user, the social network the user belongs to, or even the GPS coordinates if the tweet is created with a GPS-enabled mobile device. With these features, Twitter is, in nature, a good resource for detecting and analyzing the real time events happening around the world. By using the speed and coverage of Twitter, we can detect events, a sequence of important keywords being talked, in a timely manner which can be used in different applications like natural calamity relief support, earthquake relief support, product launches, suspicious activity detection etc. The keyword detection process from Twitter can be seen as a two step process: detection of keyword in the raw text form (words as posted by the users) and keyword normalization process (reforming the users’ unstructured words in the complete meaningful English language words). In this paper a keyword detection technique based upon the graph, spanning tree and Page Rank algorithm is proposed. A text normalization technique based upon hybrid approach using Levenshtein distance, demetaphone algorithm and dictionary mapping is proposed to work upon the unstructured keywords as produced by the proposed keyword detector. The proposed normalization technique is validated using the standard lexnorm 1.2 dataset. The proposed system is used to detect the keywords from Twiter text being posted at real time. The detected and normalized keywords are further validated from the search engine results at later time for detection of events.

Details

Applied Computing and Informatics, vol. 17 no. 2
Type: Research Article
ISSN: 2634-1964

Keywords

Open Access
Article
Publication date: 14 March 2022

Mariah R. Jenkins, Sara K. McBride, Meredith Morgoch and Hollie Smith

The 2019 Global Assessment Report on Disaster Risk Reduction (GAR) cites earthquakes as the most damaging natural hazard globally, causing billions of dollars of damage and…

2084

Abstract

Purpose

The 2019 Global Assessment Report on Disaster Risk Reduction (GAR) cites earthquakes as the most damaging natural hazard globally, causing billions of dollars of damage and killing thousands of people. Earthquakes have the potential to drastically impact physical, social and economic landscapes; to reduce this risk, earthquake early warning (EEW) systems have been developed. However, these technical EEW systems do not operate in a vacuum; the inequities in social systems, along with the needs of diverse populations, must be considered when developing these systems and their associated communication campaigns.

Design/methodology/approach

This article reviews aspects of social vulnerability as they relate to ShakeAlert, the EEW system for the USA. The authors identified two theories (relationship management theory and mute group theory) to inform self-reflective questions for agencies managing campaigns for EEW systems, which can assist in the development of more inclusive communication practices. Finally, the authors suggest this work contributes to important conversations about diversity, equity and inclusion (DEI) issues within early warning systems and earthquake preparedness campaigns in general.

Findings

To increase inclusivity, Macnamara (2012) argues that self-reflective questioning while analyzing perspective, philosophy and approaches for a campaign can help. Specific to EEW campaigns, developers may find self-reflective questions a useful approach to increase inclusion. These questions are guided by two theories and are explored in the paper.

Research limitations/implications

Several research limitations exist. First, this work explores two theories to develop a combined theoretical model for self-reflective questions. Further research is required to determine if this approach and the combination of these two theories have adequately informed the development of the reflective questions.

Originality/value

The authors could find little peer-reviewed work examining DEI for EEW systems, and ShakeAlert in particular. While articles on early warning systems exist that explore aspects of this, EEW and ShakeAlert, with its very limited time frames for warnings, creates unique challenges.

Details

Disaster Prevention and Management: An International Journal, vol. 31 no. 1
Type: Research Article
ISSN: 0965-3562

Keywords

Open Access
Article
Publication date: 10 June 2022

Ruchika Sachdeva

The purpose of this study is to develop a scale to measure coronavirus shopping anxiety. Numerous studies have developed a scale for measuring coronavirus anxiety and fear…

1625

Abstract

Purpose

The purpose of this study is to develop a scale to measure coronavirus shopping anxiety. Numerous studies have developed a scale for measuring coronavirus anxiety and fear, notably absent is a concerted effort to review and assess the impact of coronavirus on the shopping anxiety of consumers. This scale fulfills this gap.

Design/methodology/approach

The steps taken for checking the various psychometrics of the scale include item generation, followed by exploratory factor analysis (EFA) through SPSS and confirmatory factor analysis through AMOS. The data were collected from over 208 respondents.

Findings

This study resulted in the development of a nine-item scale with robust psychometric properties. The scale resulted in highlighting two factors related to anxiety: in-store shopping anxiety and online shopping anxiety.

Research limitations/implications

The scale developed has the desirable reliable and valid properties that could be used by aspiring researchers.

Practical implications

The scale developed highlighted that the restrictions in shopping impact the mental health and psychology of consumers. The scale resulted in analyzing the factors related to shopping anxiety, which could give top management a perspective and vision to look into the minds of the consumer's shopping anxiety behaviors.

Social implications

Companies, firms, health professionals and marketers could use this scale to investigate the various shopping anxiety perceptions among consumers in society.

Originality/value

This research fills the gap by developing a first nine-item scale based on the qualitative research and quantitative assessment for measuring shopping anxiety caused due to the pandemic.

研究目的

本研究擬設計一個等級表、以量度新型冠狀病毒肺炎肆虐期間之購物焦慮和不安。至目前為止,已有很多研究成功設計等級表、以量度人們對新型冠狀病毒肺炎的焦慮和恐懼。唯就學術研究而言,顯然缺乏協同一致的努力、去仔細審核和評估新型冠狀病毒肺炎對消費者購物焦慮的影響。本研究擬設計一個有關的等級表,以填補這個研究缺口。

研究設計/方法/理念

研究人員檢查其設計之等級表的各個心理測量學時所採用的步驟包括:項目生成,以及透過統計產品與服務解決方案軟件 (SPSS) 而進行的探索性因素分析、和透過AMOS而進行的驗證性因素分析。數據取自208名以上的受訪者。

研究結果

本研究成功設計了一個具有嚴格心理測量特性的九項目等級表。這個等級表、使人注意到與焦慮相關的兩個因素,就是:店內購物的焦慮和網絡購物的焦慮。

研究的原創性/價值

本研究透過定性研究和定量評估、設計了首個九項目等級表、來量度大流行病導致的購物焦慮; 就此而言,本研究填補了有關的研究缺口。

Details

European Journal of Management and Business Economics, vol. 31 no. 4
Type: Research Article
ISSN: 2444-8451

Keywords

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