bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hierarchy of customer goals: conceptual framework and new insights
Authors: Tabaei Aghdaei Zahra , McColl-Kennedy Janet R. , Coote Leonard V. 
Published: June 2021

PurposeThe purpose of this paper is to: (1) better understand the structure (hierarchy) of customer goals providing conceptual clarity; and (2) propose a hierarchy of customer goals conceptual framework that explicates how healthcare customer goals are linked to drivers and outcomes, thus building theory and informing practice.Design/methodology/approachThe research draws on 21 in-depth interviews of patients with a chronic disease. Drawing principally on construal-level theory and using manual thematic analysis and Leximancer, this article provides new insights into customer goals.FindingsIn a first, the authors identify a two-dimensional structure for each of the three main goal types, which previously had been viewed as unidimensional. The authors develop a conceptual framework linking drivers of goal setting (promotion/prevention focus world view and perceived role) with goal type (life goals, focal goals and action plan goals and their respective subgoals) and outcomes (four forms of subjective well-being). Visual concept maps illustrate the relative importance of certain health-related goals over others.Research limitations/implicationsThe usefulness of the authors’ conceptual framework is demonstrated through the application of their framework to goal setting among healthcare customers, showing links between the structure of goals (life goals, focal goals and action plan goals) to drivers (promotion/prevention focus world view and perceived role) and outcomes (subjective well-being) and the framework's potential application to other service settings.Originality/valueThis study contributes to healthcare marketing and service management literature by providing new insights into goal setting and proposing a novel hierarchy of customer goals conceptual framework linking drivers, goal types and outcomes.
Advertising and pricing strategies for the manufacturer in the presence of brown and green products
Authors: Shi Dan , Zhang Weijia , Zou Guangyu , Ping Jinkun 
Published: June 2021

PurposeThe purpose of this paper is to explore the operation strategies of a manufacturer who produces brown and green product simultaneously.Design/methodology/approachThe authors establish three models to examine the joint decisions of pricing and advertising. Three advertising strategies are: non-advertising investment (NA), advertising investment for brown product (BA) and advertising investment for green product (GA).FindingsThe theoretical analysis shows that advertising investment can substantially increase the product greening level and manufacturer's profit. More importantly, we find that the GA strategy is more likely to be the best strategy as the advertising investment efficiency increases. The BA strategy is more likely to be preferred as the R&D cost increases. Finally, the modeling results are verified by numerical experiments, and more insights are obtained.Research limitations/implicationsThis paper considers the case in which a single manufacturer produces the brown and green product simultaneously. In fact, many manufacturers in the market produce brown and green product at the same time. Furthermore, in addition to advertising investment for brown product and green product, manufacturers can also invest in advertising for brands.Originality/valueThe paper contributes to the investigations on green production and advertising decisions of a manufacturer who produces brown and green products simultaneously.
Developing a diversification strategy of non-agricultural activities on farms using system dynamics modelling: a case study of Slovenia
Authors: Žibert Maja , Prevolšek Boris , Pažek Karmen , Rozman Črtomir , Škraba Andrej 
Published: June 2021

PurposeThis paper aims to analyse the main variables and causal relationships in the system structure of the diversification of non-agricultural activities on agricultural holdings using system dynamics (SD) modelling. The SD model aims to simulate depictions of the behaviour of the real system while testing the effects of alternative decisions over time.Design/methodology/approachAn SD methodology was chosen to model diversification in farm tourism.FindingsA system approach increases the authors’ understanding of the transition of agricultural holdings to farm tourism. The results indicate that the transition to farm tourism depends on the level of tourism development in a certain area. The system is influenced by subsidies allocated by authorities to expand primary agricultural activities. The model describes a situation in which the tourism and agricultural industries have been affected by the COVID-19 pandemic.Research limitations/implicationsThe research is limited by the small set of available data due to the limited number of farms in Slovenia. One major problem is the difference in statistical data on the same activity collected from different institutions in Slovenia.Practical implicationsThe paper includes implications for understanding the transition process to farm tourism, allowing policymakers to experiment with subsidies and promotion to explore the efficacy and efficiency of proposed policies.Originality/valueThis study provides a structured, systemic view of the diversification of non-agricultural activities on agricultural holdings, where the simulation results are a reliable reflection of the behaviour of the actual system being modelled.
The interrelationship between ocean, rail, truck and air freight rates
Authors: Shackman Joshua , Dai Quinton , Schumacher-Dowell Baxter , Tobin Joshua 
Published: June 2021

PurposeThe purpose of this paper is to examine the long-term cointegrating relationship between ocean, rail, truck and air cargo freight rates, as well as the short-term dynamics between these four series. The authors also test the predictive ability of these freight rates on major economic indicators.Design/methodology/approachThe authors employ a vector error-correction model using 16 years of monthly time series data on freight rate data in the ocean, truck, rail and air cargo sectors to examine the interrelationship between these series as well as their interrelationship with major economic indicators.FindingsThe authors find that truck freight rates and as well as dry bulk freight rates have the strongest predictive power over other transportation freight rates as well as for the four major economic indicators used in this study. The authors find that dry bulk freight rates lead other freight rates in the short-run but lag other freight rates in the long run.Originality/valueWhile ocean freight rate time series have been examined in a large number of studies, little research has been done on the interrelationship between ocean freight rates and the freight rates of other modes of transportation. Through the use of data on five different freight rate series, the authors are able to assess which rates lead and which rates lag each other and thus assist future researchers and practitioners forecast freight rates. The authors are also one of the few studies to assess the predictive power of non-ocean freight rates on major economic indicators.
Asset market bubbles in an experiment with sequential information releases
Authors: Kluger Brian D. 
Published: June 2021

PurposeMuch of the author’s understanding of experimental asset market bubbles is based on the Smith, Suchanek and Williams (SSW) design. The purpose of this paper is to find alternative bubble-producing designs, which is a promising path for new insights.Design/methodology/approachThe Smith et al. (1988) experimental design has been widely used to study bubbles. This paper introduces a novel modification, where the asset has a binary liquidation value and no dividends. Dividends are replaced by the events affecting the liquidation value probability distribution.FindingsOverpricing is common and consistent with subject optimism concerning the random liquidation value. Bubbles are also observed, as the degree of overpricing often rises and then fall during the experiments. However, crashes where the asset price drops below fundamental values are not observed.Research limitations/implicationsSubject over optimism, speculation and/or subject confusion are possible bubble ingredients. More research is needed to determine how much the factors responsible for these bubbles differ from the factors responsible for the SSW design. However, it seems likely that there are at least some common factors given the structural similarities between the two designs.Originality/valueThe present design is novel and may provide a means to better generalize results from previous experiments based on the SSW design.
A case study of the German archives’ labor market in 2019
Authors: Schmerbauch Maik 
Published: June 2021

Purpose
The purpose of this paper is to discuss the German labor market situation.

Design/methodology/approach
This study is focusing on the German archive labor market for the year 2019 and examines the job postings.

Findings
Many postings in 2019; problems in posts such as different salaries and quality of tasks.

Originality/value
This is an original source-based study.
The influence of process parameters on the impact resistance of 3D printed PLA specimens under water-absorption and heat-treated conditions
Authors: Kumar Mishra Pradeep , Ponnusamy Senthil , Reddy Nallamilli Mohan Satyanarayana 
Published: June 2021

Purpose
The purpose of this paper is to analyse the effect of water absorption and heat treatment on the impact strength of three-dimensional (3D) printed Izod specimens. A low-cost post-processing technique is proposed to improve the impact strength of 3D printed parts substantially.

Design/methodology/approach
In the present work, the effect of water absorption and the heat-treatment on the impact resistance of 3D printed poly-lactic acid parts possessing different layer-height, build-orientation and raster-orientation was studied. Water absorption tests were conducted in distilled water and it was observed that the water- absorption in specimens follows the Fickian diffusion mechanism. A set of specimens was heat-treated at 120°C for 1 h using an induction furnace. Post water absorption and heat-treatment a significant increase in the impact resistance is noticed and especially a steep increase in impact resistance is observed in heat-treated specimens.

Findings
Experimental findings show that raster orientation played a major role in the impact resistance of a 3D printed structure in comparison to other process parameters. The order of influence of process parameters on the impact strength of specimens was disclosed by the mean effect plots. In terms of processing time and cost, the post-processing heat-treatment approach was found to be convenient compared to the water absorption technique.

Originality/value
This paper presents a new set of low-cost post-processing techniques (water-absorption and heat-treatment) for improving the impact strength of 3D printed specimens.
Librarians, step out of the classroom!: how improved faculty-led IL instruction improves student learning
Authors: Lacy Meagan , Hamlett Alexandra 
Published: June 2021

PurposeIn most higher education institutions, information literacy (IL) instruction is usually considered the purview of librarians, not disciplinary faculty. However, a small but growing body of research indicates that students learn the research process best when these skills are taught in the context of a course or a discipline. For this reason, teaching faculty should share ownership of IL instruction — but how? In this case study, community college librarians explain how they successfully trained faculty to integrate IL into their English Composition courses and teach IL independently.Design/methodology/approachUsing a multimethods approach, the investigators draw on faculty interviews, student surveys, and content analysis of student essays to evaluate the impact of faculty-led IL instruction on student learning after one semester.FindingsFaculty reported that their instruction of IL was improved, and students work better as a result of their collaboration with the librarians. Compared to previous semesters, faculty perceived gains in terms of students’ ability to synthesize and cite evidence in their writing. Student survey results indicate perceived gains in their IL skills, but an assessment of their written work reveals a discrepancy between this perception and the actual application of these skills.Research limitations/implicationsBecause there is no control group, no conclusions can be drawn as to whether faculty-led IL instruction is as effective as librarian-led IL instruction or whether students’ academic performance improves due to faculty teaching IL. However, the purpose of this study is primarily descriptive. It addresses how other libraries may create a culture of shared ownership of IL instruction on their campuses.Practical implicationsThis study offers an alternative model to library instruction and suggests ways instruction librarians can prioritize their outreach and instructional efforts to maximize impact on student learning.Originality/valueWhile much has been written about how librarians can improve IL instruction, few studies mention the role of faculty. This case study starts the conversation.
The partial mediating role of supply chain integration between Industry 4.0 and supply chain performance
Authors: Erboz Gizem , Yumurtacı Hüseyinoğlu Işık Özge , Szegedi Zoltan 
Published: June 2021

Purpose
Industry 4.0 not only impacts the manufacturing industry but also supply chain practices. Drawing on the resource-based view (RBV), the purpose of this paper is to examine how Industry 4.0 affects supply chain integration (SCI) and supply chain performance (SCP).

Design/methodology/approach
The data were collected from 212 respondents in manufacturing companies. The partial least square structural equation modelling (PLS-SEM) was used to test the hypotheses of this study.

Findings
The findings reveal that Industry 4.0 has a positive impact on SCI and SCP, and SCI has a positive impact on SCP. In addition, a partial mediating role of SCI has been found between Industry 4.0 and SCP.

Practical implications
This study reveals the role of Industry 4.0 on supply chain practices and draws attention to SCI in the linkage between Industry 4.0 and SCP. The findings emphasise the need for Industry 4.0 and SCI to enhance SCP.

Originality/value
There is limited research on the impacts of Industry 4.0 on SCI and SCP. This research finds empirical evidence for these impacts and enhances knowledge of Industry 4.0 by using a sample from an emerging country.
Comparing the impact onCOVID‐19 mortality of self‐imposed behavior change and of government regulations across 13 countries
Authors: Jamison Julian C. , Bundy Donald , Jamison Dean T. , Spitz Jacob , Verguet Stéphane 
Published: June 2021

AbstractObjectiveCountries have adopted different approaches, at different times, to reduce the transmission of coronavirus disease 2019 (COVID‐19). Cross‐country comparison could indicate the relative efficacy of these approaches. We assess various nonpharmaceutical interventions (NPIs), comparing the effects of voluntary behavior change and of changes enforced via official regulations, by examining their impacts on subsequent death rates.Data SourcesSecondary data on COVID‐19 deaths from 13 European countries, over March–May 2020.Study DesignWe examine two types of NPI: the introduction of government‐enforced closure policies and self‐imposed alteration of individual behaviors in the period prior to regulations. Our proxy for the latter is Google mobility data, which captures voluntary behavior change when disease salience is sufficiently high. The primary outcome variable is the rate of change in COVID‐19 fatalities per day, 16–20 days after interventions take place. Linear multivariate regression analysis is used to evaluate impacts.Data collection/extraction methods: publicly available.Principal FindingsVoluntarily reduced mobility, occurring prior to government policies, decreases the percent change in deaths per day by 9.2 percentage points (pp) (95% confidence interval [CI] 4.5–14.0 pp). Government closure policies decrease the percent change in deaths per day by 14.0 pp (95% CI 10.8–17.2 pp). Disaggregating government policies, the most beneficial for reducing fatality, are intercity travel restrictions, canceling public events, requiring face masks in some situations, and closing nonessential workplaces. Other sub‐components, such as closing schools and imposing stay‐at‐home rules, show smaller and statistically insignificant impacts.ConclusionsNPIs have substantially reduced fatalities arising from COVID‐19. Importantly, the effect of voluntary behavior change is of the same order of magnitude as government‐mandated regulations. These findings, including the substantial variation across dimensions of closure, have implications for the optimal targeted mix of government policies as the pandemic waxes and wanes, especially given the economic and human welfare consequences of strict regulations.
Novel quality metrics allow identifying and generating high‐quality assemblies of piRNA clusters
Authors: Wierzbicki Filip , Schwarz Florian , Cannalonga Odontsetseg , Kofler Robert 
Published: June 2021

AbstractIn most animals, it is thought that the proliferation of a transposable element (TE) is stopped when the TE jumps into a piRNA cluster. Despite this central importance, little is known about the composition and the evolutionary dynamics of piRNA clusters. This is largely because piRNA clusters are notoriously difficult to assemble as they are frequently composed of highly repetitive DNA. With long reads, we may finally be able to obtain reliable assemblies of piRNA clusters. Unfortunately, it is unclear how to generate and identify the best assemblies, as many assembly strategies exist and standard quality metrics are ignorant of TEs. To address these problems, we introduce several novel quality metrics that assess: (a) the fraction of completely assembled piRNA clusters, (b) the quality of the assembled clusters and (c) whether an assembly captures the overall TE landscape of an organisms (i.e. the abundance, the number of SNPs and internal deletions of all TE families). The requirements for computing these metrics vary, ranging from annotations of piRNA clusters to consensus sequences of TEs and genomic sequencing data. Using these novel metrics, we evaluate the effect of assembly algorithm, polishing, read length, coverage, residual polymorphisms and finally identify strategies that yield reliable assemblies of piRNA clusters. Based on an optimized approach, we provide assemblies for the two Drosophila melanogaster strains Canton‐S and Pi2. About 80% of known piRNA clusters were assembled in both strains. Finally, we demonstrate the generality of our approach by extending our metrics to humans and Arabidopsis thaliana.
Internal medicine hospitalisations and liver disease: a comparative disease burden analysis of a multicentre cohort
Authors: Roberts Surain B. , Hansen Bettina E. , Shin Saeha , Abrahamyan Lusine , Lapointe‐Shaw Lauren , Janssen Harry L. A. , Razak Fahad , Verma Amol A. , Hirschfield Gideon M. 
Published: June 2021

SummaryBackgroundLiver disease is an increasing burden on population health globally.AimsTo characterise burden of liver disease among general internal medicine inpatients at seven Toronto‐area hospitals and compare it to other common medical conditions.MethodsData from April 2010 to October 2017 were obtained from hospitals participating in the GEMINI collaborative. Using these cohort data from hospital information systems linked to administrative data, we defined liver disease admissions using most responsible discharge diagnoses categorised according to international classification of diseases, 10th Revision—enhanced Canadian version (ICD‐10‐CA). We identified admissions for heart failure, chronic obstructive pulmonary disease (COPD) and pneumonia as comparators. We calculated standardised mortality ratios (SMRs) as the ratio of observed to expected deaths.ResultsAmong 239 018 discharges, liver disease accounted for 1.7% of most responsible discharge diagnoses. Liver disease was associated with marked premature mortality, with SMR of 8.84 (95% CI 8.06‐9.67) compared to 1.06 (95% CI 0.99‐1.12) for heart failure, 1.05 (95% CI 0.96‐1.15) for COPD and 1.28 (95% CI 1.20‐1.37) for pneumonia. The majority of deaths were among patients younger than 65 years (57.7%) compared to 3.3% in heart failure, 5.6% in COPD and 10.7% in pneumonia. Liver disease patients presented with worse Laboratory‐Based Acute Physiology Scores, were more frequently admitted to the intensive care unit (14.4%), incurred higher average total costs (median $6723 CAD), had higher in‐hospital mortality (11.4%), and were more likely to be a readmission from 30 days prior (19.8%). Non‐alcoholic fatty liver disease admissions increased from 120 in 2011‐2012 to 215 in 2016‐2017 (P < 0.01).ConclusionIn Canada's largest urban centre, liver disease admissions resulted in premature morbidity and mortality with higher resource use compared to common cardio‐respiratory conditions. Re‐evaluation of approaches to caring for inpatients with liver disease is timely and justified.
Insights into the functional ecology of páramo plants in Colombia
Authors: Cruz Marisol , Lasso Eloisa 
Published: June 2021

AbstractPáramos are exceptionally species‐rich tropical alpine ecosystems that provide several important ecosystem services, including carbon storage and water provision. The responses of páramo plant species to climatic change are largely unknown, but classifying species by functional type and ecological strategy can help reduce complexity for modeling and conservation efforts. We measured 22 traits in 42 plant species with various growth forms in the Colombian Andes. We classified plant ecological strategies using CSR (C: competitor, S: stress tolerator, and R: ruderal) analysis and identified plant functional types (PFTs) using hierarchical clustering of principal components. Additionally, we calculated the functional originality of each species to identify species with unique trait combinations. We identified a high degree of convergence among traits and strategies, with most species characterized by the S and SC strategies. Considering the full set of traits, only three PFTs were identified: one composed of forbs and shrubs with tender leaves (PFT1), another composed only of species with rosettes form (PFT2), and a third composed of shrubs with tough leaves (PFT3). Values of functional originality were generally low, suggesting high redundancy in plant traits. PFT2 species, mostly rosettes, exhibited the highest functional originality of all the groups. Our results imply the existence of a limited set of ecophysiological strategies in the páramos, likely driven by the extremely stressful conditions in these systems. This functional redundancy may indicate heightened vulnerability to environmental changes; however, the presence of multiple species with shared functional traits could provide some resilience to disturbance.Abstract in Spanish is available with online material.