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Achieving the sustainable development goals through net zero emissions: innovation-driven strategies for transitioning from incremental to radical lean, green and digital technologies
This work adopts a resource-based view for strategically managing firms’ tangible and intangible resources based on lean and green philosophies to explore the role of digital technologies in achieving NZE and the SDGs.This research outlines three contemporary issues. First, it assesses the theory-driven approaches and real-world datasets from conference of parties (COP) meetings. Second, adopting the VRIO (Valuable, Rare, Inimitable, Organized) framework, 25 identified digital technology-based values are obtained by digitalization-based integrated lean-green approaches that may enable manufacturing firms to pursue SDGs via net-zero emissions. Four scenarios of digital technology adoption and integration level of lean and green manufacturing pathways are proposed, differentiated by the degree of radical/ incremental interests in innovation and sustainable advantage types. Third, the study highlights that the achievement of NZE by SDGs may be possible only by adopting digital technologies and high-level integration of lean and green
Comparisons of machine learning techniques for detecting fraudulent criminal identities
This paper focuses on applications of various machine learning techniques on an anonymized policing dataset used in EU SPIRIT Horizon 2020 project to identify fraudulent identities and help Law Enforcement Agencies (LEAs) in their investigation in finding potential criminals and identity resolution. Lack of qualitative data and appropriate methodology to carry out research on criminal fraudulent identities is a common reason for fewer research in this area. Additionally, it is a very sensitive data to work with and minor inaccuracy in prediction of result causes massive impact in the society as genuine people could be questioned whereas criminals could be sent free. Both of these issues are addressed in this paper by application of 39 million records from policing dataset and working towards higher accuracy while building the model. Various machine learning approaches are applied to train the dataset to make predictions and the research focus on being able to predict the 5 suspected fraudulent identities out of 39 million records in the policing dataset. One of the applied machine learning techniques include TensorFlow along with Keras model which has seldomly been applied by researchers in detection of criminal data. To compare the results and test accuracy of TensorFlow model, other machine learning techniques such as Support Vector Machine, Naïve Bayes and K-nearest Neighbours are also applied to have a comparative study on the obtained outcomes from each model. The goal of this research is to find fraudulent IDs amongst all the anonymized IDs in the criminal dataset using TensorFlow and three other machine learning models and select the most optimal model out of them. Since the model is comparing two names so string-matching techniques such as Levenshtein edit distance, Hamming Distance, Jaro-Winkler and Soundex were applied to select an effective approach first before building the model and analysing the results. TensorFlow model demonstrated highest accuracy with relatively least execution time and the only model to successfully predict all the 5 suspects from the policing dataset
Book review : Neoliberal citizenship: sacred markets, sacrificial lives by Luca Mavelli. Oxford, Oxford University Press, 2022, 190 pp., £75 (hardback) ISBN 978-0-19-285758-3
Europe is no longer the religiously and culturally homogenised territory that it once believed it was. Impacted by the end of the Cold War, globalisation, increasing immigration, and the regional rise of right-wing populism, today's Europe faces the future with fear and trepidation. Luca Mavelli has written a remarkable book which, stimulated by the 2015 'refugee crisis', took shape following the UK's 2016 Brexit vote. Mavelli explores the 'sacred' foundations of Europe's neoliberal citizenship. Also influenced by the Global Financial, Eurozone, and Covid-19 pandemic crises, Mavelli's book is an authoritative assessment of why, three decades after the Cold War, Europe is moulded by 'post-secularity'
Resilient reverse logistics with blockchain technology in sustainable food supply chain management during COVID‐19
COVID-19, which is a global problem, affects the all supply chains throughout the world. One of the supply chains most affected by COVID-19 is food supply chains. Since the sustainable food supply chain processes are complex and vulnerable in terms of product variety, it has been negatively affected by the operational effects of COVID-19. While the problems experienced in the supply chain processes and raw material constraints caused stops in production, the importance of new business models and production approaches came to the fore. One of the issues of increasing importance is the adoption of reverse logistics activities in sustainable food supply chains and increasing the resilience of food supply chains by integrating blockchain technology into processes. However, adapting blockchain technology to increase the resilience of reverse logistics activities in the food supply chain has advantages as well as risks that need to be considered. Therefore, it is aimed to determine these risks by using fuzzy synthetic evaluation method for eliminating the risks of blockchain adaptation for flexible reverse logistics in food supply chains to increase resiliency. The novelty of this study is that besides discussing about the benefits of BC-T, it is to identify the risks it can create, to eliminate these risks and to guide the establishment of resilience in reverse logistics activities of SFSCs. According to results, the risks with the highest value among the subrisks are determined as data security risks. Data management risks are calculated as the risk with the highest value
Language and Leadership
This encyclopedia entry on language and leadership will provide an overview of the reasons why paying attention to language in the study of leadership is important, the different ways in which leadership research has focused on language, and the different insights this has brought to leadership theory
Are we losing connection? Lived experience of online mutual aid groups during the COVID-19 pandemic
Background:
The current UK based study aimed to explore the experiences of individuals attending online mutual aid groups for alcohol use, while their face-to-face groups were suspended during the COVID-19 pandemic. Emerging evidence suggests that the pandemic and concomitant isolation is associated with elevated mental health problems. Furthermore, historical community-wide crises are associated with increases in alcohol consumption. Due to the paucity of qualitative research on the subjective experience of online mutual aid groups, an interpretative phenomenological analysis was undertaken to explore group members’ experiences.
Methods:
A sample of six eligible members of online alcohol mutual aid groups were recruited and completed semi-structured interviews during the COVID-19 pandemic between October 2020 and February 2021. Interpretative phenomenological analysis was used to identify key themes and evidenced with salient quotations.
Results:
The superordinate theme developing an understanding of the differences between face-to-face and online group proceedings was identified, which is presented and unpacked with evidential quotes.
Conclusion:
The study explicates group members’ perceived differences between online and face-to-face experiences. Some participants valued the increased control and anonymity of online groups, while others missed the profound intimate connection that face-to-face groups fostered. It is recommended that future provision is informed by service-user voice to develop an attunement with the subjectivity of mutual aid group members’ experiences
Embracing difference and cultivating hope: the transformative potential of Possibility Studies
This ending commentary on this inaugural issue of Possibility Studies and Society surveys the papers submitted by over 30 scholars from diverse fields and backgrounds that explore the emerging field of Possibility Studies through the lens of their respective disciplines and theoretical perspectives. It draws out the complexities of the really and ideally possible, the future and the past, and reality and imagination before moving to examine the purpose of Possibility Studies with a focus on political change, education, and hope. It calls for an embrace of non-dualistic attitudes across all domains and an engagement with the energy generated by collaborative difference
Deliberative discussions as a research method: a qualitative and mixed methods approach to exploring young Europeans’ identities and values
This article examines the use of deliberative discussions as a method of analysing the geo-political affiliations and values of young people. Exploring such areas through traditional interviews and questionnaires can present problems in that they can unduly prompt answers. Using open-ended and loosely structured discussions can allow the generation of ideas and views in the particular vocabulary and context of participants, using non-directive open-ended questions. The qualitative data generated by such an approach can be very unstructured, but has the value of being generated by participants without using stimuli that sometimes induce responses that are unreliable. This article focuses on the principles of conducting and managing discussion processes to maximise the potential usefulness of the data. Two investigations are outlined. The first uses data from deliberative discussions in a qualitative study of how young Europeans (aged between 10 and 20) variously describe themselves as members of a state/states, and/or of Europe, a particular locality or as global. The second study uses the same data, but in a mixed methods approach that included a quantitative analysis of the young people’s use of values in explaining and illustrating particular affiliations. Deliberative discussion as a process is analysed and defined in some practical detail, with suggestions as to procedures that may elicit the most useful detail using the participants own ‘natural’ language
Zinc’s time in the sun? Tracing the reopening of the Riso and Parina Valleys’ mines from precarious optimism to affective indeterminacy
This chapter addresses a peripheral feature of global extractivism and of the exclusionary practices discussed in this volume: the revitalization of European mining via renewed extraction activities in long-closed mines
Editorial announcement: new associate editors and editorial board members
This is an announcement of new associate editors and editorial board members to join the Editorial Board of Leadership