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61 – 68 of 68Hannes Lindkvist, Frida Lind and Lisa Melander
This paper aims to investigate actor roles and public–private interactions in networks. Role dynamics are explored in two settings: the current development network and the future…
Abstract
Purpose
This paper aims to investigate actor roles and public–private interactions in networks. Role dynamics are explored in two settings: the current development network and the future implementation network to which actors are transitioning.
Design/methodology/approach
The paper builds on the industrial marketing and purchasing approach to business markets and uses a qualitative methodology. A case study of a network developing geofencing applications in the context of sustainable transport was used. The main source of data was interviews with 26 respondents from public and private organizations.
Findings
Roles in development and implementation of geofencing are identified, where private and public actors may take on one or several roles in the developing setting. When transitioning to the implementation setting, the expectations of public actors vary and there is ambiguity over their roles, which range from active to inactive. This detailed empirical case study shows the complexity of multi-actor involvement when developing digital technology for the transport system.
Research limitations/implications
The study highlights the transition from firm-centric innovation to network-centric innovation and its implications on actor roles.
Practical implications
Organizations participating in public–private innovation networks need to be aware of the multiple roles public organizations play and the complexities they face.
Originality/value
The paper explores role dynamics within and between the development and implementation settings of geofencing. Within the current development setting, roles are identified at different organizational levels with limited change in role dynamics. When transitioning to a new setting, actors’ role dynamics may range from “limited” to “path-breaking.” In future settings, actors enter and exit networks and their roles may change dramatically.
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Joseph Nockels, Paul Gooding and Melissa Terras
This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI)…
Abstract
Purpose
This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.
Design/methodology/approach
In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.
Findings
Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.
Originality/value
Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.
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Hung Vu Nguyen, Mai Thi Thu Le, Chuong Hong Pham and Susie S. Cox
This paper employs the theoretical foundations for subjective well-being to examine the impacts of two underlying dimensions of subjective well-being (psychological well-being and…
Abstract
Purpose
This paper employs the theoretical foundations for subjective well-being to examine the impacts of two underlying dimensions of subjective well-being (psychological well-being and social well-being) on pro-environmental consumption behaviors (PECBs). In this research, the moderating role of exposure to positive environmental messages on media in the relationship between subjective well-being and PECBs is also examined.
Design/methodology/approach
This research uses a quantitative research method with data collected from an online survey questionnaire posted in Facebook groups related to PECBs in Vietnam.
Findings
Psychological well-being and social well-being are found to be separate significant predictors of PECBs. More importantly, exposure to positive environmental messages on media was found to reinforce the impacts of psychological well-being on PECB but not moderate the relationship between social well-being and PECB.
Originality/value
This research offers a new insight for encouraging PECB from the perspective of subjective well-being. Different from the extant perspectives, which usually examine subjective well-being as a unidimensional antecedent of PECB, the authors highlight that subjective well-being can influence PECB in two separate dimensions. Moreover, this research extends existing literature by accentuating the role of exposure to environmental messages in the association between different types of social well-being and PECB.
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Nhan Thi Nguyen, Tassanee Prasopkittikun, Sudaporn Payakkaraung and Nopporn Vongsirimas
Exclusive breastfeeding (EBF) rates continue to be low in Vietnam. This study aimed to determine the factors predicting 6-month EBF among mothers in Ho Chi Minh City, Vietnam.
Abstract
Purpose
Exclusive breastfeeding (EBF) rates continue to be low in Vietnam. This study aimed to determine the factors predicting 6-month EBF among mothers in Ho Chi Minh City, Vietnam.
Design/methodology/approach
A cross-sectional study was conducted with 259 mothers of infants aged between six to nine months at well-baby clinics in Ho Chi Minh City. The questionnaires used for data collection included personal background questionnaire, perceived benefits of breastfeeding scale, breastfeeding self-efficacy scale-short form, perceived barriers to breastfeeding scale and the family support of breastfeeding scale. Descriptive statistics, bivariate and multiple logistic regression were used for data analysis.
Findings
About 32% of the Vietnamese mothers practiced 6-month EBF. By increasing one unit of perceived benefits of breastfeeding, perceived self-efficacy in breastfeeding and family support, the mothers' likelihood to give 6-month EBF would increase 19% (AOR = 1.19, 95% CI = 1.08, 1.31), 12% (AOR = 1.12, 95% CI = 1.04, 1.19) and 10% (AOR = 1.10, 95% CI = 1.04, 1.16), while previous breastfeeding experience, maternal age and maternal education could not significantly contribute to the 6-month EBF.
Originality/value
This is the first study in Vietnam using a nursing model, the health promotion model, as a framework to identify factors predicting 6-month EBF. An effective program for promoting EBF could be developed by manipulating and tailoring the predicting factors to fit the Vietnamese mothers' needs through a mother class, lactation clinic or individual approach.
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This article theoretically analyzes how response to intervention (RTI) can be used as a tool in lesson study (LS) to enhance student learning and how RTI can be made more…
Abstract
Purpose
This article theoretically analyzes how response to intervention (RTI) can be used as a tool in lesson study (LS) to enhance student learning and how RTI can be made more user-friendly by teachers in LS. The focus is on how RTI can be adapted to teachers' daily work by including it in the LS model and how LS can benefit by introducing a scientific approach in analyzing student learning outcomes through RTI. The article also highlights how this approach can contribute to learning for children with special educational needs (SEN).
Design/methodology/approach
This theoretical paper describes and compares the characteristics of the LS model with the RTI framework. The comparison highlights the design of models related to teachers’ development and learning outcomes. The benefits and challenges with the models are described. A previous research study related to the models is also briefly reviewed.
Findings
There are benefits and challenges with both the RTI and LS models but parts of the models appear to complement one another to some extent. Teachers' professional development and a better control of learning outcomes could be gained by combining the models. This could also lead to educational improvement.
Originality/value
There has been almost no research about a combined LS and RTI model.
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Carlee Purdum, Benika Dixon and Amite Dominick
The impact of extreme heat on prisons and carceral facilities is becoming increasingly visible, yet remains overlooked by scholars, practitioners and policymakers. Prisons are a…
Abstract
Purpose
The impact of extreme heat on prisons and carceral facilities is becoming increasingly visible, yet remains overlooked by scholars, practitioners and policymakers. Prisons are a unique type of infrastructure designed to severely limit and control the movement of hundreds and even thousands of individuals as a form of punishment. This leads to many significant challenges to mitigating the risk of heat-related illness in prisons and other carceral spaces that have remained overlooked across many disciplines including emergency management, disasters, corrections and public health.
Design/methodology/approach
For this study, we analyzed 192 surveys from incarcerated persons in state prisons throughout Texas to understand how incarceration and the punitive prison environment create challenges to managing extreme heat in prisons.
Findings
We found that characteristics of modern incarceration, including communal distribution of resources, crowded conditions and a lack of agency for incarcerated people, create barriers to accessing resources during periods of extreme heat. Furthermore, the punitive nature of the prison environment as manifested in the relationship between staff and incarcerated persons and certain prison policies also create barriers to incarcerated persons accessing resources to reduce their risk of heat-related illness and death.
Social implications
These issues are particularly relevant to the health and safety of incarcerated persons during periods of extreme temperatures but also speak broadly to the implications of incarceration, disaster risk, and the advancement of human rights for incarcerated people.
Originality/value
This article addresses a gap in the literature by including the perspectives of persons incarcerated in Texas prisons experiencing extreme heat and implicates the characteristics of incarceration and punishment in the production of disaster risk.
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This paper reports on research into the skills and services required to ensure the sustainability of citizen science as a service in university libraries.
Abstract
Purpose
This paper reports on research into the skills and services required to ensure the sustainability of citizen science as a service in university libraries.
Design/methodology/approach
A quantitative research design was adopted to collect data from academic librarians. A questionnaire was administered, and data were analysed using Statistical Package for the Social Sciences (SPSS).
Findings
More than 90% of responses indicated that to support citizen science activities, it is important for academic librarians to acquire information literacy, data literacy and an understanding of open science. The study found that citizen science activities require a dedicated team and continuous capacity development of team members. Findings also indicated that though academic librarians do not have knowledge of citizen science, they are willing to embrace and embed it in their services and products. Capacity shortage was listed as a challenge for academic librarians to promote and support citizen science activities.
Originality/value
This study is unique as it reports on the possible involvement of academic librarians in the field of citizen science. The link between academic librarians and the field of citizen science which is predominant in the natural sciences has a positive contribution to the body of scholarship as it promotes interdisciplinarity.
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Kjeld Harald Aij and Maurits Teunissen
Emphasis on quality and reducing costs has led many health-care organizations to reconfigure their management, process, and quality control infrastructures. Many are lean, a…
Abstract
Purpose
Emphasis on quality and reducing costs has led many health-care organizations to reconfigure their management, process, and quality control infrastructures. Many are lean, a management philosophy with roots in manufacturing industries that emphasizes elimination of waste. Successful lean implementation requires systemic change and strong leadership. Despite the importance of leadership to successful lean implementation, few researchers have probed the question of ideal leadership attributes to achieve lean thinking in health care. The purpose of this paper is to provide insight into applicable attributes for lean leaders in health care.
Design/methodology/approach
The authors systematically reviewed the literature on principles of leadership and, using Dombrowski and Mielke’s (2013) conceptual model of lean leadership, developed a parallel theoretical model for lean leadership in health care.
Findings
This work contributes to the development of a new framework for describing leadership attributes within lean management of health care.
Originality/value
The summary of attributes can provide a model for health-care leaders to apply lean in their organizations.
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