bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulated business effectiveness: learning and performance outcomes
Authors: Stamatelatos Anna , Brooks Robert 
Published: August 2020

PurposeThis study investigates simulated business learning and performance effectiveness during a simulation task. The learning and performance outcomes of two groups of postgraduate student participants are investigated namely: (a) participants who do not struggle with the task and (b) participants who do struggle with completing the task.Design/methodology/approachAn experiment was conducted using a simulated business, which was manipulated into two initial commencement formats: positive initial format (PIF) and negative initial format (NIF). Individual performance on the task was measured via achievement of performance targets whilst individual learning was measured via causal cognitive maps.FindingsParticipants using PIF did not struggle with completing the task and achieved higher performance outcomes compared to participants using NIF, who struggled with completing the task. In addition, the positive association between learning and performance was significantly reduced for participants using NIF who struggled with completing the taskResearch limitations/implicationsThis study’s findings are tentative as the sample size is small and several moderator/mediator variables, which may influence the findings (i.e. student learning style/instructor style/cognitive factors), are outside the scope of the study and thus not included.Practical implicationsCausal cognitive mapping results and students’ self-assessment of learning during simulated business debriefing, may further help instructors/students identify the differences in individual learning outcomes between those who have and have not struggled with increasing simulated business performance.Originality/valueBy using an experiment and causal cognitive mapping to measure individual learning, this study contributes further empirical evidence to the literature.
Academics’ preferences for office spaces
Authors: Hopland Arnt O. , Kvamsdal Sturla 
Published: August 2020

Purpose
This paper aims to investigate preferences for office spaces among academic staff at a university. The authors consider differences across age groups, seniority, position type and current office situation.

Design/methodology/approach
This paper is an empirical investigation of survey data using descriptive statistics and regression analyses. The sample consists of 485 academic employees at the Norwegian University of Science and Technology.

Findings
Staff in individual offices are substantially more satisfied with their office space than those who share office space. Moreover, those in large offices are more satisfied than those in smaller. Large offices are occupied by staff with high seniority, and staff with large offices tend to host meetings more frequently than their colleagues. However, it is not clear whether differences in office spacing reflect real needs or mostly status.

Originality/value
Understanding which office spaces that stimulate the best research and higher education is of great importance when policy makers plan resource allocation.
Multi-component modeling and classification for failure propagation of an offshore wind turbine
Authors: Bezzaoucha Fatima Souad , Sahnoun M’hammed , Benslimane Sidi Mohamed 
Published: August 2020

PurposeImproving reliability is a key factor in reducing the cost of wind energy, which is strongly influenced by the cost of maintenance operations. In this context, this paper aims to propose a degradation model that describes the phenomenon of fault propagation to apply proactive maintenance that will act on the cause of failure to prevent its reoccurrence as well as to improve future system designs.Design/methodology/approachThe methodology adopted consists in identifying the different components of a wind turbine, their causes and failure modes, and then, classifying these components according to their causes of failure.FindingsThe result is a classification of the different components of a wind turbine according to their failure causes. From the obtained classification, the authors observed that the failure modes for one component are a failure cause for another component, which describes the phenomenon of failure propagation.Originality/valueThe different classifications existing in the literature depend on the nature, position and function of the different components. The classification of this study consists in grouping the components of a wind turbine according to their failure causes to develop a degradation model considering the propagation of failure in the field of wind turbines.
Remaking and reinforcing mathematics and technology with programming – teacher perceptions of challenges, opportunities and tools in K-12 settings
Authors: Humble Niklas , Mozelius Peter , Sällvin Lisa 
Published: August 2020

PurposeThe purpose of this study is to analyse and discuss K-12 mathematics and technology teachers' perceptions on integrating programming in their teaching and learning activities, and perceptions on different programming tools.Design/methodology/approachThe approach of a case study was used, with data collected from three instances of a professional development programming course for K-12 teachers in mathematics and technology.FindingsThe findings show that there are perceived challenges and opportunities with learning and integrating programming, and with different programming tools. Many teachers perceive programming as fun, but lack the time to learn and implement it, and view different programming tools as both complementary to each other and with individual opportunities and challenges.Practical implicationsThe practical implication of the research is that it can provide guidance for teachers and other stakeholders that are in the process of integrating programming in K-12 education. Further, the research provides useful information on teachers' experiences on working with different programming tools.Social implicationsThe social implication of the research is that the overall aim of the nation-wide integration process might not succeed if the challenges identified in this study are not addressed, which could have negative effects on the development of students' digital competence.Originality/valueThe value of the research is that it identifies important challenges and opportunities for the integration of programming. That is, that many teachers perceive the different programming tools available as complimentary to each other, but are hesitating about what is expected of the integration. Findings could also be valuable for future course design of the teacher professional development.
Climate resilience and varietal choice: a path analytic model for rice in Bangladesh
Authors: Prasada D.V.P. 
Published: August 2020

PurposeRice is the primary staple crop in South Asia and is cultivated mainly on lowland ecosystems usually fed by the monsoon. With increasing climatic volatility, exclusively rain-fed rice paddies have experienced a triple threat in droughts, floods and salinity. This study investigates the linkages of these abiotic stresses on yield and subsequent farmer decisions on varietal choice.Design/methodology/approachA path analytic model is conceptualized where the relationship between yield (conditional on abiotic stresses) and the varietal choice decision is mediated by adaptation motive (latent construct) and market exposure (observed construct). The path model is validated using 2,523 observations from Bangladesh farmers to obtain parameter estimates for direct effects and mediated effects indicated above.FindingsFindings reveal that drought and flood impacts, in contrast to salinity impacts, are influential to both yield and varietal choice. The adaptation motive, however, is clear only in the case of salinity. Time preference of farmers and previous exposure to climate shocks predict adaptation motive substantively. The study reveals that market exposure is also a significant mediator of varietal choice in addition to the mediating effect of adaptation.Research limitations/implicationsThe study adopts a path analytic model which is able to capture direct, indirect and mediated effects between exogenous factors and varietal choice decision. While the models provide conclusive statistical evidence to the above hypotheses, within-area variations of behavior may not be captured adequately by the method.Originality/valueAnalyzing the complexity of varietal decision-making choice using a path analytical model is a novel contribution to the literature. The application itself is unique to the context applied. The findings complement the literature on varietal adoption in the context of climate resilient paddy systems.
Exploring the role of service quality, atmosphere and food for revisits in restaurants by using a e-mystery guest approach
Authors: Bichler Bernhard Fabian , Pikkemaat Birgit , Peters Mike 
Published: August 2020

PurposeQuality in foodservices has become essential, and new methodological ways of determining service quality enable a better representation of service processes and help to increase revisits. This paper focuses on the foodservice context and explores the relationship between staff-related service dimensions, atmosphere, food quality and revisit in a full-service setting.Design/methodology/approachThis study combines an often neglected mystery guest approach with partial least square–structural equation modeling (PLS-SEM) to shed more light on customers' service perceptions. The mystery guest approach has been updated with a digitally supported smartphone questionnaire (e-mystery) that provides more reliable results since previous measurements experienced difficulties of feasibility in time-limited settings (N = 247).FindingsThe findings of this study confirm the direct effects of the service quality dimensions reliability, attentiveness and atmosphere on revisit intention and highlight the mediating role of food quality. In detail, the findings showed significant results for service employees' reliability and attentiveness and underlined the role of atmosphere for revisit intention.Originality/valueThe contribution of this paper supplements that mystery guest approaches represent a reliable alternative to convenience sampling, especially in combination with a digitally supported questionnaire (e-mystery). Thereby, this paper suggests the further application of e-mystery for the hospitality and tourism industry. In terms of implications, this study highlights the importance of securing food quality by fostering specialized schools and training programs for career starters. Since the findings stress the importance of service quality and atmosphere, managers need to ensure that employees are trained in culturally sensitive communication and services to excel in service-related dimensions.
Driving COBRAs: the power of social media marketing
Authors: Cheung Man Lai , Pires Guilherme D. , Rosenberger III Philip J. , De Oliveira Mauro Jose 
Published: August 2020

PurposeThis study aims to examine the impact of social media marketing (SMM) efforts, including entertainment, customisation, interaction and trendiness via WeChat, on consumers' online brand-related activities (COBRAs) and their related outcomes, including on-going search behaviour and repurchase intention.Design/methodology/approachThe theoretical framework is tested for luxury cosmetics brands. Data were collected in China from 433 WeChat users utilising a self-administered online survey. Data analysis uses partial least squares–structural equation modelling.FindingsEntertainment and interaction drive consumers' consuming, contributing and creating behaviours, whilst trendiness drives creating behaviour only. Inconsistent with previous research findings, customisation has a non-significant impact on consumers' consuming, contributing and creating behaviours. Consuming and creating behaviours assist in driving on-going search behaviour and repurchase intention. Contributing behaviours assist in driving on-going search behaviour only.Research limitations/implicationsCross-sectional in nature, this research adds to the marketing literature by explaining how to use SMM to drive COBRAs for luxury cosmetics in China using WeChat. To enhance the generalisability of the findings, future research might consider a longitudinal design, including comparisons between countries with diverse cultures as well as other industries and product types.Practical implicationsCOBRAs may be heightened by using entertaining and trendy content. Incorporating interactive content on social media platforms encourages consumers to consume, contribute and create content on social media brand communities, further driving their on-going search behaviour and repurchase intention.Originality/valueExamination of SMM's role in the marketing literature largely overlooks the impact of SMM elements on COBRAs. This study contributes to the SMM research by empirically testing a theoretical model, confirming that specific SMM elements – including entertainment and interaction – are key factors in driving consumers' consuming, contributing and creating behaviour on social media brand communities, influencing consumers' on-going search behaviour and repurchase intention.
Dynamical properties and scaling behavior of self-propelled particles: Langevin dynamics
Authors: Amallah Layla , Hader Ahmed , Tanasehte Mohammed , Hariti Yassine , Boughaleb Yahia 
Published: August 2020

PurposeThe aim of the present paper is to investigate the behavior of collective motion of living biological organisms in the two-dimensional (2D) plane by adopting a new approach based on the use of Langevin dynamics. Langevin dynamics is a powerful tool to study these systems because they present a stochastic process due to collisions between their constituents.Design/methodology/approachIn this paper, the dynamical properties and scaling behavior of self-propelled particles were studied numerically by using Langevin dynamics. These dynamics have been affected by the use of only the alignment zone of radiusR.FindingsThe results indicated that the system’s velocity increases with time and reaches to finite value at the equilibrium phase.Research limitations/implicationsThis result is more consistent with that of Vicsek’s model. However, the system’s velocity decreases exponentially with the applied noise without taking the zero value for the highest noise value.Practical implicationsAs well as, the crossover time of the growth kinetic system decreases exponentially with noise.Social implicationsScaling behavior has been checked for this system and the corresponding results prove that behavior scales with the same law of the one in Vicsek’s model but with different scaling exponents.Originality/valueThe phase transition observed in Vicsek’s model cannot be reproduced by the Langevin dynamics model, which describes more about the dynamical properties of self-propelled systems.
The effect of support structures on maraging steel MS1 parts fabricated by selective laser melting at different building angles
Authors: Cao Qiqiang , Zhang Jiong , Chang Shuai , Fuh Jerry Ying Hsi , Wang Hao 
Published: August 2020

Purpose
This study aims to further the understanding of support structures and the likely impacts on maraging steel MS1 parts fabricated by selective laser melting (SLM) at 45°, 60° and 75° building angles.

Design/methodology/approach
Two groups of samples, one group with support structures and the other group without support structures, were designed with the same specifications and printed under the same conditions by SLM at 45°, 60° and 75° building angles. Differences in dimensional accuracy, surface roughness, Vickers microhardness, residual stress and microstructure were compared between groups.

Findings
The results showed that with support structures, more accurate dimension and slightly higher Vickers microhardness could be obtained. Larger compressive stress dominated and was more uniformly distributed on the supporting surface. Without support structures, the dimension became more precise as the building angle increased and alternating compressive and tensile stress was unevenly distributed on the supporting surface. In addition, the surface roughness of the outer surface decreased with the increase of the built angle, regardless of the support structures. Furthermore, whether the building angle was 45°, 60° or 75°, the observed microstructures revealed that the support structures altered the orientation of the molten pool and the direction of grain growth.

Originality/value
This paper studies the influence of support structures on the workpieces printed at different building angles. Support structures affect the residual stress distribution, heat dissipation rate and microstructure of the parts, and thus affecting the printing quality. Therefore, it is necessary to balance the support strategy and printing quality to better apply or design the support structures in SLM.
Underlying indicators for measuring smartness of buildings in the construction industry
Authors: Ghansah Frank Ato , Owusu-Manu De-Graft , Ayarkwa Joshua , Darko Amos , Edwards David J. 
Published: August 2020

PurposeThis study investigates the underlying indicators for measuring the smartness of buildings in the construction industry; where the Smart Building Technology (SBT) concept (which incorporates elements of the Zero Energy Building (NZEB) concept) could ensure efficient energy consumption and high performance of buildings.Design/methodology/approachAn overarching post-positivist and empirical epistemological design was adopted to analyze primary quantitative data collected via a structured questionnaire survey with 227 respondents. The mean ranking analysis and one-sample t-test were employed to analyse data.FindingsResearch findings revealed that the level of knowledge of smart building indicators is averagely high in the Ghanaian construction industry. Future research is required to evaluate the awareness level of Smart Building Technologies (SBTs) by construction professionals and identify barriers to its adoption.Originality/valueA blueprint guidance model (consisting of significant indicators for measuring building smartness) was developed to help improve building performance and inform policymakers.
Testing a butterfly commonness hypothesis with data assembled by a citizen science program “Tokyo Butterfly Monitoring”
Authors: Washitani Izumi , Nagai Mihoko , Yasukawa Masaki , Kitsuregawa Masaru 
Published: August 2020

AbstractWe tested a hypothesis regarding species commonness using a database compiled by a citizen science program called “Tokyo Butterfly Monitoring.” The data used were more than 34,000 butterfly records, which were cleansed through expert check after posted by monitoring participants from 2009 to 2017. We hypothesized that butterfly species with multiple annual reproductive cycles and food plants common in city environments are more common and would have more monitoring reports. The generalized linear mixed model (GLMM) analysis revealed significant effects of including “cultivated plants” in the larval food menu and “multivoltinism” on the number of individual species reported, which was compatible with the hypothesis. The species with the most records (12% of all records among 90 species) was Zizeeria maha, which reproduces 5–6 times annually and relies on Oxalis corniculata, a small weed common in urban open spaces. Argyreus hyperbius, a southern species that was very rare before the 1990s, ranked third in the current data. Its major host plant is a common garden plant, the pansy, which grows in most gardens and green spaces. The data collected by the monitoring program appear to represent the status of the butterfly community in Tokyo, a megacity subjected to rapid environmental changes.
Evaluating inpatient adverse outcomes under California's Delivery System Reform Incentive Payment Program
Authors: Keller Michelle S. , Chen Xiao , Godwin Jamie , Needleman Jack , Pourat Nadereh 
Published: August 2020

AbstractObjectiveThe California Delivery System Reform Incentive Payment Program (DSRIP) provided incentive payments to Designated Public Hospitals (DPHs) to improve quality of care. We assessed the program's impact on reductions in sepsis mortality, central line–associated bloodstream infections (CLABSIs), venous thromboembolisms (VTEs), and hospital‐acquired pressure ulcers (HAPUs).Data SourcesWe used 2009‐2014 discharge data from California hospitals.Study DesignWe used a pre‐post study design with a comparison group. We constructed propensity scores and used them to assign inverse probability weights according to their similarity to DPH discharges. Interaction term coefficients of time trends and treatment group provided significance testing.Data ExtractionWe used Patient Safety Indicators for CLABSI, HAPU, and VTE, and constructed a sepsis mortality measure.Principal FindingsDischarges from DPHs and non‐DPHs both saw decreases in the four outcomes over the DSRIP period (2010‐2014). The difference‐in‐difference estimator (DD) for sepsis was only significant during two time periods, comparing 2010 with 2012 (DD: −2.90 percent, 95% CI: −5.08, −0.72 percent) and 2010 with 2014 (DD: −5.74, 95% CI: −8.76 percent, −2.72 percent); the DD estimator was not significant comparing 2010 with 2012 (DD: −1.30, 95% CI: −3.18 percent, 0.58 percent) or comparing 2010 with 2013 (DD: −3.05 percent, 95% CI: −6.50 percent, 0.40 percent). For CLABSI, we did not find any meaningful differences between DPHs and non‐DPHs across the four time periods. For HAPU and VTE, the only significant DD estimator compared 2014 with 2010.ConclusionsWe did not find that DPHs participating in DSRIP outperformed non‐DPHs during the DSRIP program. Our results were robust to multiple sensitivity analyses. Given multiple concurrent inpatient safety initiatives, it was challenging to assign improvements over time periods to DSRIP.
Organizational and Human Factors Affecting Forensic Decision‐Making: Workplace Stress and Feedback
Authors: Almazrouei Mohammed A. , Dror Itiel E. , Morgan Ruth M. 
Published: August 2020

AbstractAlthough forensic examiners operate in a stressful environment, there is a lack of understanding about workplace stress and feedback. These organizational and human factors can potentially impact forensic science judgments. In this study, 150 practicing forensic examiners from one laboratory were surveyed about their experiences of workplace stress, and the explicit and implicit feedback they receive. Forensic examiners reported that their high stress levels originated more from workplace‐related factors (management and/or supervision, backlogs, and the pressure to do many cases) than from personal related factors (family, medical, and/or financial). The findings showed that a few (8%) of the forensic examiners sometimes felt strong implicit feedback about what conclusions were expected from them and that some (14%) also strongly felt that they were more appreciated when they helped to solve a case (e.g., by reaching a “match” as opposed to an “inconclusive” conclusion). Differences were found when comparing workplace stress and feedback levels across three core forensic science fields (forensic biology, chemistry, and latent prints) and across career stages (early, mid, and late). Gaining insights into the stress factors within a workplace and explicit and implicit feedback has implications for developing policies to improve the well‐being, motivation, and performance of forensic examiners.