bluuebunny/crossref_metadata_2025_split huggingface dataset:
Post-disaster neoliberal normalization in the 1985, 2010 and 2015 Chilean earthquakes
Authors: Saavedra Juan , Alvarado-Cañuta Catalina 
Published: December 2022

PurposeThis article analyzes biopolitical strategies for the recovery of neoliberal normality in urban areas affected by earthquakes in 1985, 2010 and 2015 in Chile (intensity >8.0Mw).Design/methodology/approachThis is a qualitative design research. In total, 198 semi-structured interviews were conducted with seven focus groups. The data were processed in search of discursive threads, guided by the categories contained in the analysis and those arising from the interview transcripts.FindingsResults describe three clusters of discursive threads: disruption of normality, strategies of disaster biopolitics and narratives on the recovery of normality in the medium to long term. In the analyzed cases, disaster biopolitics entered domestic and community spaces to govern life; while the aim was to safeguard lives, it also sought to ensure the continuity of the neoliberal regime. The disaster biopolitics used the exception to normalize, constructing subjectivity and memory around the idea of catastrophes.Research limitations/implicationsThe qualitative design can be used in sudden and extreme situations, but it is not possible to anticipate similar results in other kind of disasters (e.g. drought).Social implicationsThis study wants to contribute a political vision about disasters by describing the process of restoring order, which follows highly destructive disasters, by demonstrating that in Chile, the biopolitical exception was key to returning to neoliberal normality.Originality/valueThe findings can help improve emergency responses and propose the necessity of political contextualization in post-disaster recovery processes.
One-stage extraction four-point algorithm for rainflow cycle counting in fatigue life estimation
Authors: Huang Gangting , Li Yunfei , Luo Yajun , Xie Shilin , Zhang Yahong 
Published: January 2023

PurposeIn order to improve the computation efficiency of the four-point rainflow algorithm, a one-stage extraction four-point rainflow algorithm is proposed based on a novel data preprocessing method.Design/methodology/approachIn this new algorithm, the procedure of cycle counting is simplified by introducing the data preprocessing method. The high efficiency of new algorithm makes it a preferable candidate in fatigue life online estimation of structural health monitoring systems.FindingsAccording to the data preprocessing method, in the process of cycle extraction, all equivalent cycles can be extracted at just one stage instead of two stages in the four-point rainflow algorithm, where the cycle extraction has to be performed from the doubled residue. Besides, there are no residues in the new algorithm. The extensive numerical simulation results demonstrate that the accuracy of new algorithm is the same as that of the four-point rainflow algorithm. Moreover, a comparative study based on a long input data sequence shows that the computation efficiency of the new algorithm is 42% higher than that of the four-point rainflow algorithm.Originality/valueThis merit of new algorithm makes it preferable in some application scenarios where fatigue life estimation needs to be accomplished online based on massive measured data. And it may attribute to preprocessing of input data sequence before data processing, which provides beneficial guidance to improve the efficiency of existing algorithms.
Evaluating preparedness in using blockchains for electronic health record systems
Authors: Hosseini Sarkhosh Seyyed Mahdi , Akhavan Peyman 
Published: January 2023

Purpose
An emerging technology in the primary stages of its life cycle is the blockchain. This research paper aims to evaluate the preparedness of hospitals in using blockchain technology in their electronic health record (EHR) systems.

Design/methodology/approach
In the initial stage, 15 criteria relating to preparedness in using blockchain in EHR systems were identified from the literature and divided into five criteria, namely, technological, legal, financial, environmental and organizational. Then, 17 experts from various specialized fields were invited to form expert panels. After validating the criteria identified by the expert panels, the weights of the criteria were determined through the fuzzy best-worst multicriteria decision-making method. Following that, the preparedness of ten selected hospitals in Tehran to use blockchain in their EHR systems was assessed via the weighted aggregated sum product assessment method. Finally, using sensitivity analysis and examining different scenarios, the robustness of the results of the proposed approach was validated.

Findings
According to expert judgments, the legal criterion (32%) was deemed the most important factor in the preparedness to use blockchain in EHR systems followed by technological (28%), financial (17%), organizational (13%) and environmental (9%) criteria. A sensitivity analysis showed that the proposed approach offers good strength and robustness in evaluating the selected hospitals.

Originality/value
This study can be useful in developing knowledge in the field of technology management for evaluating blockchain implementation in the health-care industry using a novel, coherent and robust approach. In addition, the proposed approach provides comprehensive insight for decision-makers on assessing preparedness in deploying blockchain technology in EHR systems.
Assessing the application of multi-criteria decision making techniques in hospitality and tourism research: a bibliometric study
Authors: Vatankhah Sanaz , Darvishmotevali Mahlagha , Rahimi Roya , Jamali Seyedh Mahboobeh , Ale Ebrahim Nader 
Published: January 2023

Purpose
Multi-criteria decision-making (MCDM) techniques are decision support systems that provide systematic approaches to solve hospitality and tourism (H&T) problems while minimizing the risk of failure. However, less is known about the application of MCDM techniques in H&T research. This study aims to systematically assess the use of MCDM techniques in H&T research to classify its current application and determine its application potential for H&T research.

Design/methodology/approach
This study used bibliometric analysis to examine all published MCDM studies focused on H&T industries, since 1997. In addition, topic modelling was used to discover key concepts. Finally, top cited studies in terms of total citations per year and total citations were qualitatively reviewed for more insights.

Findings
The findings revealed an ongoing interest in applying MCDM techniques in H&T research. Specifically, the extension of fuzzy theory in MCDM techniques is burgeoning among H&T researchers. However, a certain number of MCDM techniques seem to be ignored in this field with a repetitive application of MCDM techniques in particular areas.

Research limitations/implications
The data for the current research was solely retrieved from Scopus and other databases were not included. Therefore, future research is called for to re-examine the study by considering data from various databases.

Originality/value
This study contributes to extant H&T literature by identifying the most prolific and influential countries, journals, publications and trends by applying MCDM techniques in H&T research, and elucidating the implications and characteristics of MCDM techniques in H&T research.
The relationship between students’ psychological capital, social-contextual factors and study-related outcomes – an empirical study from higher education in Norway
Authors: Slåtten Terje , Lien Gudbrand , Batt-Rawden Victoria Helen , Evenstad Solveig Beyza Narli , Onshus Terje 
Published: January 2023

Purpose
This study aims to examine the relationships between students’ psychological capital (PsyCap), social-contextual factors and study-related outcomes. Social-contextual factors are represented by two education-related variables: academic support and peer support. Three study-related outcome variables are included, namely, study engagement, academic performance and student well-being.

Design/methodology/approach
Students from different higher education campuses and academic programs in Norway participated.

Findings
PsyCap is directly related to the three study-related outcome variables. The relationship between PsyCap and academic performance is mediated by study engagement. The two social-contextual factors (academic support and peer support) are both related to PsyCap. Finally, PsyCap also mediated the relationship between the two social-contextual factors and the three study-related outcome variables.

Research limitations/implications
Overall, the findings reveal that PsyCap has a key role in all study-related outcomes. Accordingly, managers of higher education institutions should take students’ PsyCap seriously and seek ways to intervene and manage the different resources embraced in the concept of PsyCap.

Originality/value
This study contributes to a relatively new but seemingly growing area of research in educational management, focusing on the role of student PsyCap.
Adoption and impacts of messaging applications and participation in agricultural information-sharing groups: an empirical analysis with Brazilian farmers
Authors: Mendes Juliana de Jesus , Carrer Marcelo José , Vinholis Marcela de Mello Brandão , Meirelles de Souza Filho Hildo 
Published: January 2023

PurposeThis study aimed to identify the determinants of farmers' participation in agricultural information-sharing digital groups and their impacts on farm performance.Design/methodology/approachPrimary data of the 2015/2016 crop year collected from 175 cattle farmers were analyzed using descriptive statistics and econometric models. Farmers who had smartphones and participated in social groups/applications, especially those created to exchange agricultural information, were considered adopters of the technology.FindingsA Poisson hurdle model showed that farmers' decision to participate in agricultural information-sharing digital groups is determined by schooling, age (negative effect) and use of tools for planning production. The intensity of participation is affected by risk propensity, interaction with specialist advisors, use of tools for planning production and participation in cooperatives. The authors also found empirical evidence that farmers' participation in agricultural information-sharing digital groups positively affects farm income per hectare.Research limitations/implicationsThe results of this study are important for accelerating the diffusion of low-cost digital technologies, which are powerful tools for improving farmers' sharing and access to valuable information in real time and in locations far from urban areas.Originality/valueTo the best of the authors’ knowledge, this is the first empirical analysis of the adoption and impacts of agricultural information-sharing digital groups/applications by Brazilian cattle farmers. The diffusion of simple digital technologies is important for reducing heterogeneity and increasing the efficiency of cattle production.
A Wolf in sheep’s clothing: taxometric evidence of the dimensional structure of stalking
Authors: Longpré Nicholas , Stefanska Ewa B. , Tachmetzidi Papoutsi Maria , White Eleanor 
Published: January 2023

Purpose
The purpose of this study is to examine the latent structure of stalking. Stalking can be defined as a pattern of repeated and unwanted behaviours that cause another person to be afraid. The consequences for the victims can be severe and potentially happen over a long period of time. While stalking is considered as a taxon, empirical evidence and an absence of pathognomonic criteria point towards a dimensional structure.

Design/methodology/approach
The aim of this study is to examine the latent structure of stalking using taxometric analyses on the Severity of Stalking Behaviours Scale. Analyses were conducted on a sample of N = 1,032 victims’ accounts, who had contacted the National Stalking Helpline in the UK.

Findings
Taxometric analyses revealed that stalking presents a dimensional structure, and no taxonic peaks emerged. The results were consistent across analyses (MAMBAC, MAXEIG and L-Mode), indicators (CCFI, curves) and measures (items, factors).

Research limitations/implications
A dimensional structure implies that individual variation is a matter of intensity, and the present results suggest that the conceptualization of stalking should be modified. Understanding stalking from a dimensional perspective provides support to study stalking in non-clinical populations. Scales that measure stalking should provide discrimination along the entire continuum rather than focusing on putative taxonic boundaries and arbitrary threshold.

Originality/value
This paper is proposing the first set of taxometric analyses on stalking. The results are providing empirical support to the idea that stalking exists on a continuum. It also strengthened the validity of previous findings in non-clinical populations and their applications all along the continuum, including with clinical populations.
Can employee engagement be attained through psychological detachment and job crafting: the mediating role of spirituality and intrinsic motivation
Authors: Nehra Nagendra Singh 
Published: January 2023

PurposeThe present study is to develop an additional perspective on when and why psychological detachment and job crafting behaviors in predicting employee engagement through spirituality and intrinsic motivation. It was hypothesized that spiritual employees are better able to detach themselves from work and craft their job according to their preference and abilities, which would inculcate experience and make them intrinsically motivated and thereby leading to employee engagement.Design/methodology/approachThe sample comprised 408 employees, who are employed in different organizations across India. To test the hypotheses, the author conducted structural equation modeling on SPSS AMOS 22.FindingsThe results highlight the partial mediating role of spirituality in the association of psychological detachment with intrinsic motivation as well as between job crafting and intrinsic motivation. The results highlight the fully mediating role of intrinsic motivation in the association of psychological detachment with employee engagement as well as between job crafting and employee engagement.Practical implicationsThis study has depicted that spiritual employee who are psychologically detached and have proactive job crafting behavior can achieve higher intrinsic motivation and more engaged.Originality/valueOn the basis of the broaden and build theory, self-determination theory (SDT) and the recovery process (i.e. the effort-recovery model), this paper demonstrates that spirituality plays the role of predictor that drives psychological detachment and encourages job crafting, which has the ability to intrinsically motivate the employee and are able to more engaged in work.
How do enterprises achieve sustainable success in green manufacturing era? The impact of organizational environmental identity on green competitive advantage in China
Authors: Chen Roulin , Cao Ling 
Published: January 2023

PurposeDrawing on the “Resource- Capability – Competitive advantage” framework within Natural Resource-Based View, this study is purposed to address problems of manufacturing companies “turning into the green” issues, providing references for manufacturing companies to achieve green competitive advantage via internal motivation and identity perspectives.Design/methodology/approachThis study collected survey data from 112 Chinese manufacturing listed enterprises from the Shanghai Stock Exchange, and obtained 418 questionnaires. Following an empirical design, hierarchical regression analysis and Bootstrapping analysis were applied to examine these hypotheses.FindingsResults show that green innovation behaviors positively mediate the positive relationship between organizational environmental identity and green competitive advantage. Furthermore, slack resource not only positively moderates the interaction effect between organizational environmental identity and green product innovation behaviors, but also moderates the mediation role of green product innovation behavior in the main effect.Research limitations/implicationsThe study is limited to the data samples and dynamic evolution between variables. More longitudinal designs and diverse enterprise fields will be considered in future.Practical implicationsThe findings provide guidance for manufacturing enterprises to gain green competitive advantage in green manufacturing era from identity value origins. Moreover, the results provide practical suggestions for manufacturing enterprises to enhance green innovation behaviors and integrate useful but slack resources.Social implicationsThe findings provide implications for manufacturing industry to increase both the awareness of organizational environmental identity and green innovation behaviors, all of which helps promote the corporate environmental responsibility.Originality/valueThe study breaks the limitation of the existing literature which focuses on the influence of external push factors (e.g. environmental regulation), and bring new visions in constructing green competitive advantage in green manufacturing era, not only extending the identity theory and upper echelon theory, but also enriching the current studies on green management. Also, these findings provide deeper and new insights into risks and uncertain features of green manufacturing era, analyzing how polluted manufacturing enterprises obtain green competitive advantages through the mediating role of green innovation behaviors and the moderating role of slack resource.
Does Internet development have a spatial fluctuation spillover effect on green total factor productivity in China? A Spatial-SAR-ARCH model
Authors: Dong Kangyin , Wang Jianda , Ren Xiaohang 
Published: December 2022

PurposeThe purpose of this study is to examine the spatial fluctuation spillover effect of green total factor productivity (GTFP) under the influence of Internet development.Design/methodology/approachUsing panel data from 283 cities in China for the period 2003–2016, this paper explores the spatial fluctuation spillover effect of internet development on GTFP by applying the spatial autoregressive with autoregressive conditional heteroscedasticity model (SARspARCH).FindingsThe results of Moran's I test of the residual term and the Bayesian information criterion (BIC) value indicate that the GTFP has a spatial fluctuation spillover effect, and the estimated results of the SARspARCH model are more accurate than the spatial autoregressive (SAR) model and the spatial autoregressive conditional heteroscedasticity (spARCH) model. Specifically, the internet development had a positive spatial fluctuation spillover effect on GTFP in 2003, 2011, 2012 and 2014, and the volatility spillover effect weakens the positive spillover effect of internet development on GTFP. Moreover, Internet development has a significant positive spatial fluctuation spillover effect on GTFP averagely in eastern China and internet-based cities.Research limitations/implicationsThe results of this study provide digital solutions for policymakers in improving the level of GTFP in China, with more emphasis on regional synergistic governance to ensure growth.Originality/valueThis paper expands the research ideas for spatial econometric models and provides a more valuable reference for China to achieve green development.
Banks' risk taking in credit decisions: influences of loan officers' personality traits and financial risk preference versus bank-contextual factors
Authors: Jansson Magnus , Roos Magnus , Gärling Tommy 
Published: January 2023

PurposeThis paper aims to investigate whether loan officers' risk taking in credit decisions are associated with their personal financial risk preference and personality traits or solely with bank-contextual and loan-relevant factors.Design/methodology/approachAn online survey administered in six large Swedish banks to 163 loan officers responsible for assessing credit risk and approval of loan applications. The loan officers rated their likelihood of approving fictitious loan applications from business companies.FindingsThe loan officers' credit risk taking is associated with bank-contextual factors, directly with perceived organizational credit risk norms and indirectly with self-confidence in assessing credit risks through attitude to credit risk taking. A direct association is also found with personal financial risk preference but not with personality traits.Research limitations/implicationsIncreased awareness of that loan officers' personal financial risk preference is associated with their credit risk taking in loan decisions but that the banks' risk policy has a stronger association. Banks' managements and boards should therefore assure that their credit risk policy is implemented, followed and being aligned with their performance incentives.Practical implicationsIncreased awareness of that loan officers' credit risk taking is associated with personal financial risk preference but more strongly with the banks' risk policy that motivate banks' managements and boards to assure that their credit risk policy is implemented, followed and being aligned with their performance incentives.Originality/valueThe first study which directly compare the associations of loan officers' risk taking in credit approvals with personal risk preference and personality traits versus bank-contextual factors and loan-relevant information.
Material extrusion additive manufacturing of 17–4 PH stainless steel: effect of process parameters on mechanical properties
Authors: Basak Animesh , Lee A. , Pramanik Alokesh , Neubauer Ken , Prakash Chander , Shankar S. 
Published: January 2023

Purpose
Regardless of the materials used, additive manufacturing (AM) is one of the most popular emerging fabrication processes used for creating complex and intricate structural components. This study aims to investigate the effects of process parameters – namely, nozzle diameter, layer thickness and infill density on microstructure as well as the mechanical properties of 17–4 PH stainless steel specimens fabricated via material extrusion AM.

Design/methodology/approach
The experimental approach investigates the effects of printing parameters, including nozzle diameter, layer thickness and infill density, on surface roughness, physical and mechanical properties of the printed specimens. The tests were triplicated to ensure reproducibility of the experimental results.

Findings
The highest ultimate tensile strength, 795.26 MPa, was obtained on specimen that was fabricated with a 0.4 mm nozzle diameter, 0.14 mm layer thickness and 30% infill density. Furthermore, a 0.4 mm nozzle diameter also provided slightly better ductility. This came at the expense of surface finishing, as a 0.25 mm nozzle diameter exhibited better surface finishing over a 0.4 mm nozzle diameter. Infill density was shown to slightly influence the tensile properties, whereas layer thickness showed a significant effect on surface roughness. By contrast, hardness and ductility were independent of nozzle diameter, layer thickness and infill density.

Originality/value
This paper presents a comprehensive analysis relating to various input printing parameters on microstructural, physical and mechanical properties of additively manufactured 17–4 PH stainless steel to improve the printability and processability via AM.