Hilary MacQueen and Fiona Jane Aiken
The purpose of this paper is to investigate the effect of workplace support measures offered by employers on the academic performance and satisfaction of distance-taught paramedic…
Abstract
Purpose
The purpose of this paper is to investigate the effect of workplace support measures offered by employers on the academic performance and satisfaction of distance-taught paramedic students.
Design/methodology/approach
Using a combination of quantitative, qualitative and open text data, the authors identified factors important for student success.
Findings
Dedicated study time was not a significant predictor of student pass rate, but was related to the quality of achievement as measured by pass grade. More important for success were less tangible factors such as relationship with a mentor and being part of a supportive peer group.
Research limitations/implications
The number of respondents to the survey of graduates in the second part of the investigation was small (n=30; 8.9 per cent) and limited to one profession (Emergency care).
Practical implications
The support measures the authors have identified should be overtly built into new course design. Placements undertaken away from the primary workplace should be well organised, and students proactively supported while undertaking them.
Originality/value
The value of these findings is that they inform, and can be used to enhance, the experience of students on work-based learning programmes and also on degree apprenticeships.
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Hilary Lustick, Abeer Hakouz, Allison Ward-Seidel and Larissa Gaias
This study facilitated restorative coordinators in co-constructing and proposing solutions to common problems in RJ implementation.
Abstract
Purpose
This study facilitated restorative coordinators in co-constructing and proposing solutions to common problems in RJ implementation.
Design/methodology/approach
This study used grounded theory to examine barriers to equitable restorative justice (RJ) implementation in the US. Drawing on interviews and focus groups with restorative coordinators, we used a combination of inductive and deductive coding consistent with the grounded theory approach.
Findings
Coordinators distinguished between RJ as a top-down, isolated “program” versus RJ as a collaborative “practice” among all stakeholders. Only the latter was equitable, in their view, and required a consistent principal commitment to building and maintaining an inclusive school culture. Participants recommended that teacher and principal preparation provide opportunities to cultivate critical consciousness and participate in RJ practices.
Originality/value
Existing research on discipline reform tends to focus on outcomes, such as suspension rates. Instead, participants focused on the reform process, viewing equitable RJ as an ongoing “practice” to improve school culture. Our findings also open new discussions about leadership preparation content and pedagogy: participants called for preparation programs to cultivate critical consciousness and facility with RJ. Lastly, the study’s recruitment and focus group design raise important considerations for future RJ research.
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Lisa Heldt and Ekaterina Pikuleva
This paper aims to investigate the emergence of blockchain-enabled traceability in complex multi-tiered supply chains, focusing on the perspective of upstream suppliers…
Abstract
Purpose
This paper aims to investigate the emergence of blockchain-enabled traceability in complex multi-tiered supply chains, focusing on the perspective of upstream suppliers. Blockchain technology receives attention for its potential to enable better traceability and thus sustainability risk management, yet there is limited empirical evidence on how actual implementation unfolds. We aim to understand how blockchain adoption unfolds in practice, particularly in critical mineral supply chains that are critical to the sustainability transition yet linked to severe environmental and human rights risks and to explore the role of traditionally non-focal firms in this process.
Design/methodology/approach
Adopting a process-based case study design, our research is grounded in data collected through participant observation (>12 months) within an upstream mining company, supplemented by interviews and document review. Our study employs the complex adaptive systems (CAS) lens and uses an abductive approach for data analysis.
Findings
In our case, blockchain-based traceability in the cobalt supply chain was co-constructed over time, fundamentally driven by a large upstream supplier but enabled through supply-chain-spanning collaboration with like-minded downstream actors and successive expansion into the opaque midstream, enabled through a stakeholder alliance forum and formalized in the blockchain. We find, however, that visibility, standards, trust and follow-up capacities need to exist in their own right, ideally prior to blockchain implementation.
Originality/value
Our paper provides empirical insights from an upstream (vs downstream) perspective and investigates blockchain’s implementation (vs potential) to complement and ground existing research. Further, we extend the CAS framework by emphasizing agency and visible horizon of traditionally non-focal firms.
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The purpose of this paper is to provide the author’s opinion about the future of American tourism under Trump’s presidency.
Abstract
Purpose
The purpose of this paper is to provide the author’s opinion about the future of American tourism under Trump’s presidency.
Design/methodology/approach
This paper relies on secondary data.
Findings
The influences of Trump’s presidency on American tourism will be on both sides. It will influence the destination image. It will also influence the relationships between America with several countries such as: China, Mexico, UK.
Originality/value
Contributes to the knowledge about the future of American tourism when the political system is changed.
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The purpose of this study is to apply a corpus-assisted analysis of keywords and their collocations in the US presidential discourse from Clinton to Trump to discover the meanings…
Abstract
Purpose
The purpose of this study is to apply a corpus-assisted analysis of keywords and their collocations in the US presidential discourse from Clinton to Trump to discover the meanings of these words and the collocates they have. Keywords are salient words in a corpus whose frequency is unusually high (positive keywords) or low (negative keywords) in comparison with a reference corpus. Collocation is the co-occurrence of words.
Design/methodology/approach
To achieve this purpose, the investigation of keywords and collocations is generated by AntConc, a corpus processing software.
Findings
This analysis leads to shed light on the similarities and/or differences amongst the past four American presidents concerning their key topics. Keyword analysis through keyness makes it evident that Clinton and Obama, being Democrats, demonstrate a clear tendency to improve Americans’ life inside their social sphere. Obama surpasses Clinton as regard foreign affairs. Clinton and Obama’s infrequent subjects have to do with terrorism and immigration. This complies with their condensed focus on social and economic improvements. Bush, a republican, concentrates only on external issues. This is proven by his keywords signifying war against terrorism. Bush’s negative use of words marking cooperative actions conforms to his positive use of words indicating external war. Trump’s positive keywords are about exaggerated descriptions without a defined target. He also shows an unusual frequency in referring to his name and position. His words used with negative keyness refer to reforming programs and external issues. Collocations around each top content keyword clarify the word and harmonize with the presidential orientation negotiated by the keywords.
Research limitations/implications
Limitations have to do with the issue of the accurate representation of the samples.
Originality/value
This research is original in its methodology of applying corpus linguistics tools in the analysis of presidential discourses.
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Giovanna Culot, Guido Orzes, Marco Sartor and Guido Nassimbeni
This study aims to analyze the factors that drive or prevent interorganizational data sharing in the context of digital transformation (DT). Data sharing appears as a precondition…
Abstract
Purpose
This study aims to analyze the factors that drive or prevent interorganizational data sharing in the context of digital transformation (DT). Data sharing appears as a precondition for companies to capture emerging opportunities in supply chain management and for product-related servitization; however, there are ongoing concerns, and data are often perceived as the “new oil.” It is thus important to gain a better understanding of the determinants of firms’ decisions.
Design/methodology/approach
The authors develop an embedded case study analysis involving 16 firms within an extended supply network in the automotive industry. The authors focus on the peculiarities of the new context, as opposed to elements highlighted by research prior to the advent of the latest technologies. Abductive reasoning is applied to the theoretical foundations of the resource-based view, resource dependence theory and the complex adaptive systems perspective.
Findings
Data sharing is largely underpinned by factors identified prior to DT, such as data specificity, dependence dynamics and protection mechanisms and the dynamism of the business context. DT, however, can influence the extent of data sharing. New factors concern complementarities whenever data are pooled from different sources and digital platforms, as well as different forms of data ownership protection.
Originality/value
This study stresses that data sharing in the context of DT can be explained through established theoretical lenses, providing the integration of elements accounting for new technological opportunities.
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Aryaning Arya Kresna, Pamerdi Giri Wiloso, Wilson Therik and Willi Toisuta
The paper aims is to see why social conflict caused by class segregation did not occur in Gading Serpong? What factors prevent conflict from occurring? This research seeks to find…
Abstract
Purpose
The paper aims is to see why social conflict caused by class segregation did not occur in Gading Serpong? What factors prevent conflict from occurring? This research seeks to find the causes of the nonoccurrence of social conflict due to class segregation in the Gading Serpong cluster area and explore the factors that restrain conflict there.
Design/methodology/approach
This research is qualitative research with data collection techniques through in-depth interviews with several parties identified as brokerages in the research object area. In this context, one of the media and analytical tools is to recognize agents or brokers who connect two groups of people. Brokerage occurs in sectors, patterns or forms of informal, personal relationships; to understand it, one must pay close attention to micro-level relationships and social psychological processes. However, brokerage can have a significant impact on macro-level social relations, as it is generally associated with social integration processes.
Findings
The lack of involvement of developers in overcoming social conflicts that occur between Gading Serpong natives and migrants in Gading Serpong housing has given rise to new actors. These new actors are what we can call brokers, where they have a role as brokers who are able to connect between migrants and natives in the Gading Serpong area. The broker phenomenon is actually familiar in academia, where in practice the broker acts as someone who is able to find solutions to problems. The broker is the reason even social segregation is created between migrant citizens and native citizens in Gading Serpong but never becomes a conflict between them.
Research limitations/implications
Even if the brokerage phenomenon is the reason why there is no conflict over social segregation brokerage is not the only factor in this nonconflict segregation. Therefore, to cover the larger area of these suburban segregation problems, there must be further research on this topic.
Practical implications
The practical implication of this research is to encourage the housing developers that create urban housing, such as clusters or other gated communities, to evaluate the social factors, such as potential segregation and conflict management. Also to encourage the developers to get involved and create some social engineering systems, like brokerage, market and other social agents, to create some nonconflict segregation or even more inclusive communities.
Originality/value
This research is uncovering the main reason why social segregation between migrant and native people in Gading Serpong, which could potentially lead to conflict, is never a conflict. The main reason is social actors like brokerage.
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Hossein Baharmand, Amin Maghsoudi and Giulio Coppi
Some studies and reports have recently suggested using blockchain technology to improve transparency and trust in humanitarian supply chains (HSCs). However, evidence-based…
Abstract
Purpose
Some studies and reports have recently suggested using blockchain technology to improve transparency and trust in humanitarian supply chains (HSCs). However, evidence-based studies to display the utility and applicability of blockchains in HSCs are missing in the literature. This paper aims to investigate the key drivers and barriers of blockchain application to HSCs and explore whether evidence could support that the application of blockchain improves transparency and trust in HSCs.
Design/methodology/approach
This paper puts forward a two-stage approach to explore the blockchain application in HSCs: an initial exploration of humanitarian practitioners and academicians interested in blockchain through focus group discussions; semi-structured interviews with practitioners involved at the UK Department for International Development's Humanitarian Supply Blockchain pilot project.
Findings
First, we found that main drivers include accountability, visibility, traceability, trust, collaboration, time efficiency, reducing administrative work and cross-sector partnership. Main barriers, however, are composed of engagement issues, lack of technical skills and training, lack of resources, privacy concerns, regulatory problems, pilot scalability issues and governance challenges. Second, evidence from our case study revealed the blockchain application could have added value to improve visibility and traceability, thus contributing to improve transparency. Concerning trust, evidence supports that blockchain could enhance both commitment and swift trust in the pilot study.
Practical implications
Our study contributes to a more understanding of added values and challenges of blockchain application to HSCs and creates a perspective for humanitarian decision-makers.
Originality/value
This study provides the first evidence from the actual application of blockchain technology in HSCs. The study discovered that it is still less evident in many humanitarian organizations, including medium- and small-sized nongovernmental organizations, that they engage in a direct deployment of in-house or customized blockchain-based HSC. Instead, these actors are more likely to indirectly use blockchain in HSCs through a private commercial partner.
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Pamela Danese, Riccardo Mocellin and Pietro Romano
The purpose of this paper is to contribute to the debate on blockchain (BC) adoption for preventing counterfeiting by investigating BC systems where different options for BC…
Abstract
Purpose
The purpose of this paper is to contribute to the debate on blockchain (BC) adoption for preventing counterfeiting by investigating BC systems where different options for BC feeding and reading complement the use of BC technology. By grounding on the situational crime prevention, this study analyses how BC systems can be designed to effectively prevent counterfeiting.
Design/methodology/approach
This is a multiple-case study of five Italian wine companies using BC to prevent counterfeiting.
Findings
This study finds that the desired level of upstream/downstream counterfeiting protection that a brand owner intends to guarantee to customers through BC is the key driver to consider in the design of BC systems. The study identifies which variables are relevant to the design of feeding and reading processes and explains how such variables can be modulated in accordance with the desired level of counterfeiting protection.
Research limitations/implications
The cases investigated are Italian companies within the wine sector, and the BC projects analysed are in the pilot phase.
Practical implications
The study provides practical suggestions to address the design of BC systems by identifying a set of key variables and explaining how to properly modulate them to face upstream/downstream counterfeiting.
Originality/value
This research applies a new perspective based on the situational crime prevention approach in studying how companies can design BC systems to effectively prevent counterfeiting. It explains how feeding and reading process options can be configured in BC systems to assure different degrees of counterfeiting protection.
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Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people…
Abstract
Purpose
Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media.
Design/methodology/approach
For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance.
Findings
The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts.
Originality/value
Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.