bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hybrid method to guide sustainable initiatives in higher education: a critical analysis of Brazilian municipalities
Authors: Paz Tainá da Silva Rocha , Rocha Junior Venicius Gonçalves da , Campos Priscila Celebrini de Oliveira , Paz Igor , Caiado Rodrigo Goyannes Gusmão , Rocha Antonio de Aragão , Lima Gilson Brito Alves 
Published: April 2022

Purpose
This paper aims to assist higher education institutions (HEIs) in their decision-making process to define initiatives and foster research projects contributing to sustainable development (SD) and minimizing the deficits found in the municipalities.

Design/methodology/approach
A documental analysis was performed to select HEIs and Brazilian regional development indicators. Then, the assessment of the sustainable and institutional performance of Brazilian municipalities that have HEIs consisted of three parts: clustering with an unsupervised machine learning model, ranking with a hybrid multi-criteria decision making method and visualization of sustainability performance with the dashboard.

Findings
The critical analysis of institutional and sustainability indicators contributes to a more active role of HEIs in matters of social responsibility, with a more holistic view of the performance and quality of municipal education. Furthermore, this critical analysis creates a scenario where HEIs can develop public policy proposals in partnership with the government to mitigate the main issues identified.

Social implications
With this study, HEIs will be able to direct their actions to minimize the deficits found in the municipalities, consolidating their social responsibility.

Originality/value
This study proposes a new decision-support tool with a dashboard of indicators so that HEIs can foster research projects with a focus on regional SD.
Blockchain-enabled beer game: a software tool for familiarizing the application of blockchain in supply chain management
Authors: Sunny Justin , Pillai V. Madhusudanan , Nath Hiran V. , Shah Kenil , Ghoradkar Prajwal Pandurang , Philip Manu Jose , Shirswar Malhar 
Published: March 2022

PurposeThis paper aims to introduce, conceptualize and demonstrate a software tool named “Blockchain-Enabled Beer Game” (BEBG) for familiarizing the application of blockchain in inventory management, one of the critical components of supply chain management.Design/methodology/approachThis paper follows a methodology of design-based research and develops a software tool in the form of a role-play simulation game. The proposed game adopts the theme of the traditional beer distribution game to establish a blockchain-enabled scenario for inventory management. A decentralized application (DApp) was prototyped on the Ethereum blockchain to demonstrate the tool.FindingsThe proposed software tool is effective in teaching and training the application of blockchain in inventory management. While interacting with BEBG, players witness how each inventory-related transaction gets secured with blockchain. A basic understanding of the fundamentals of blockchain is a prerequisite for using this tool. BEBG is not self-explanatory, and an instructor is essential for assisting the players.Originality/valueSoftware tools currently available to familiarize with blockchain technology cannot convey its practical applications. Addressing this gap, BEBG allows the users to experience the application of blockchain in inventory management. Academic institutions, especially business schools, can use this tool to teach the students the practical use of blockchain technology. Industries can adopt BEBG for training the employees. The research community can devise BEBG to infer the impact of blockchain in supply chain management.
The role of intermediaries in the MICE tourism value chain: consensus or dissonance?
Authors: Rojas-Bueno Alberto , Alarcón-Urbistondo Pilar , González-Robles Eva María 
Published: April 2022

Purpose
Meetings, incentives, conventions/conferences and exhibitions (MICE) tourism is a segment of business travel, which is experiencing a process of disintermediation. Using the value chain concept, this study aims to analyze the role and value of intermediaries in the MICE value chain. As the interests and perceptions of stakeholders are different, the authors also study if there is consensus or dissonance in their opinion.

Design/methodology/approach
This study uses mixed methods. First, by means of interviews with MICE professionals to identify the research variables and validate the test sample and questionnaire. Then, an international survey, which uses logistic regressions to identify the variables that support value. The post-hoc ANOVA test identifies the differences of opinions and determines the existence of consensus or dissonance.

Findings
Incoming agents create value by means of convenience and good rates and outbound agents by trust. The incoming agent is more valued and enjoys a position of power and therefore has more chances of remaining active in the market. However, there is no consensus about the role of intermediaries, hotels being the most dissonant stakeholder.

Originality/value
Instead of focusing on the negative aspects of disintermediation, this study uses a multifaceted perspective to identify the reasons that lead to value creation by intermediaries. This is vital for MICE stakeholders to acknowledge disintermediation and act consequently. Conclusions can also provide valuable guidance for intermediaries in other business to business interactions to better understand their value, competitive advantages and position of power.
Energy prices and the macroeconomy: new evidence from Hodrick–Prescott and Hamilton filters
Authors: Vatsa Puneet , Mixon Frank G. 
Published: April 2022

PurposeThis paper aims to investigate the cyclical associations among energy prices and key macroeconomic variables for the USA.Design/methodology/approachTo this end, the recently developed Hamilton filter (HF) and the oft-used Hodrick–Prescott filter (HPF) are used. The two methods produce starkly different results regarding the relationships between energy prices on the one hand and output and employment on the other.FindingsWhile the HF suggests that energy prices are acyclical, the HPF suggests they are procyclical. However, the associations between energy prices and inflation are robust across the two methods, indicating that energy prices are strongly correlated with – and lead – the consumer price index (CPI). Furthermore, unlike the results produced by the HPF, those produced by the HF are robust across seasonally adjusted and unadjusted data.Research limitations/implicationsGiven the inherent seasonality in energy prices and the differences in the underlying processes that generate macroeconomic and energy prices, the results obtained from the HPF filter should be interpreted with caution.Originality/valueTo the best of the authors’ knowledge, this is the first study that uses the recently developed HF to examine the associations between the cyclical behaviors of three key macroeconomic variables in the USA – the industrial production index, the CPI, and total nonfarm employment – and the prices of natural gas, crude oil, gasoline, diesel, and heating oil. Second, this study presents a comparison of the results produced by the two filtering techniques. Third, recognizing that energy prices are characterized by seasonality, this study tests the robustness of the results produced by the two filters across seasonally adjusted and unadjusted data.
Modeling the turnover intentions of Thai health-care personnel in pandemic times: moderating role of Covid-19 burnout
Authors: Haq Inzamam Ul , Maneengam Apichit , Chupradit Supat , Huo Chunhui 
Published: April 2022

Purpose
Covid-19 cases are rising at a high rate in Thailand. Thailand’s administration has formulated many initiatives to combat the spread of coronavirus. However, during a pandemic, health-care workers have a diverse range of tasks that make it more challenging to continue working in hospitals. Consequently, the authors modeled the turnover intentions of health-care personnel to capture relevant psychological aspects of employees during the pandemic. Specifically, this study aims to focused on the moderating role of Covid-19 burnout (CBO) in the relationship between transformational leadership (TL) and job turnover intentions (JTI) with job satisfaction (JS) and knowledge hiding (KH) as mediators.

Design/methodology/approach
This research collected data using self-administered questionnaire. A two-stage partial least square–structural equation modeling (PLS-SEM) is carried out as an analysis technique to measure the linear relationship among constructs. The study tests hypotheses (direct and indirect effects) using 310 sample size of health-care personnel.

Findings
The findings indicated that CBO intensified the JTI of health-care personnel and strengthened the association of JS and KH with JTI during the Covid-19 pandemic. TL had a negative indirect effect on JTI. In addition, JS had a negative impact on JTI.

Originality/value
The study highlights the importance of TL and JS as ways to reduce or alleviate JTI in health-care personnel during the Covid-19 pandemic in Thailand. Furthermore, CBO and KH can enhance JTI in health-care personnel.
Leader–follower psychological capital congruence and work outcomes: the mediating role of organizational embeddedness
Authors: Wang Yanfei , Wu Caiping , Tian Xiaoxia , Zhu Yu 
Published: March 2022

PurposeBased on the micro role transition theory (MRTT), the present study aims to explore how leader–follower congruence in psychological capital (PsyCap) affects followers' task performance and voice behavior, in which we uncover the mediating role of organizational embeddedness.Design/methodology/approachA survey was conducted in South China through a three-stage procedure, and finally, a dyad-structured sample of 62 leaders and 218 employees was matched. The polynomial regression method, response surface analysis and structural equation modeling were employed to test the effects of leader–follower PsyCap congruence.Findings(1) Followers' organizational embeddedness will be higher when leaders' and followers' PsyCap are more aligned; (2) followers' organizational embeddedness will be higher when leaders' and followers' PsyCap are aligned at a high level rather than when they are aligned at a low level; (3) followers' organizational embeddedness will be higher when followers' PsyCap is higher than leaders', compared to when followers' PsyCap is lower than leaders'; (4) organizational embeddedness mediates the relationship between leader–follower PsyCap congruence and followers' (a) task performance and (b) voice behavior.Originality/valueThis study emphasizes leaders' pivotal role in a process where followers' PsyCap affects task performance and voice behavior, and further extends MRTT through introducing organizational embeddedness as a mediator in such a mechanism.
Sustainable supply chain management – a key to resilience in the global pandemic
Authors: Eggert Julius , Hartmann Julia 
Published: March 2022

PurposeThe purpose of this paper is to investigate the potential synergy between companies’ sustainable supply chain management (SSCM) activities and their supply chain resilience (SCRES). The authors propose hypotheses about the impact of buying companies SSCM activities on the inflicted damage by unexpected supply chain disruptions and the recovery time afterwards and test these empirically using data from companies during the global COVID-19 pandemic.Design/methodology/approachThe authors investigate a sample of 231 of the largest publicly traded companies in the European Union with 4.158 firm-year observations. For the analysis, the authors generate variables capturing the companies’ intensity and years of experience of their SSCM activities targeted at the supply chain and run regression analyses on the inflicted damage due to the COVID-19 pandemic and the recovery time after the disruption.FindingsBuying companies’ SSCM activities have a positive effect on their SCRES. The damage inflicted by unexpected supply chain disruptions is lower when companies have higher levels of SSCM and longer experience with it. The recovery time afterwards is significantly reduced by longer experience with SSCM efforts.Research limitations/implicationsThe authors suggest SCRES is reinforced by transparency, situational awareness, social capital and collaboration resulting from companies SSCM activities translate into increased SCRES.Practical implicationsThe authors show that companies with superior SSCM are more resilient in a crisis and conclude that, therefore, companies should invest in SSCM to prevent future supply disruptions.Originality/valueTo the best of the authors’ knowledge, this is the first empirical study analyzing a data set of multi-industry companies, linking their SSCM activities to SCRES during the pandemic.
Travel app shopping on smartphones: understanding the success factors influencing in-app travel purchase intentions
Authors: Lim Xin-Jean , Cheah Jun-Hwa , Morrison Alastair M. , Ng Siew Imm , Wang Siqi 
Published: March 2022

Purpose
With the diffusion of innovation theory (DOI) and theory of planned behaviour (TPB) as the guiding theoretical perspectives, this research aims to identify the factors motivating user attitudes and in-app purchase intentions (IAPIs). The moderating impact of user inertia towards TPB constructs was also explored.

Design/methodology/approach
A total of 500 responses were received via an online survey fielded from July to October 2021. The data were then analysed using partial least square structural equation modeling (PLS-SEM).

Findings
The results indicated that attitudes towards travel app shopping were predominantly determined by perceived relative advantages, compatibility and complexity. Findings also suggested that IAPIs are positively influenced by attitudes, communicability and perceived behavioural control and are moderated by user inertia.

Originality/value
A holistic framework integrating theoretical foundations from two disciplines (information systems and psychology) was designed to explain factors motivating user intentions to purchase travel products and services from apps. This research found a missing link in previous studies by showing the indirect role of attitudes that bridges the DOI and TPB and the importance of inertia as a key boundary condition.
An ecological explanation for hyperallometric scaling of reproduction
Authors: Potter Tomos , Felmy Anja 
Published: April 2022

Abstract

In wild populations, large individuals have disproportionately higher reproductive output than smaller individuals. Some theoretical models explain this pattern—termed reproductive hyperallometry—by individuals allocating a greater fraction of available energy towards reproductive effort as they grow.

Here, we propose a simple ecological explanation for this observation: differences between individuals in rates of resource assimilation, where greater assimilation causes both increased reproduction and body size, resulting in reproductive hyperallometry at the level of the population.

We illustrate this effect by determining the relationship between size and reproduction in wild and laboratory‐reared Trinidadian guppies. We show that (a) reproduction increased disproportionately with body size in the wild but not in the laboratory, where resource competition was eliminated; (b) in the wild, hyperallometry was greatest during the wet season, when resource competition is strongest; and (c) detection of hyperallometric scaling of reproduction at the population level was inevitable if individual differences in assimilation were ignored.

We propose that ecologically driven variation in assimilation—caused by size‐dependent resource competition, niche expansion and chance—contributes substantially to observations of hyperallometric scaling of reproduction in natural populations. We recommend that models incorporate such ecologically caused variation when seeking to explain reproductive hyperallometry.

Read the free Plain Language Summary for this article on the Journal blog.
ArsZ from Ensifer adhaerens ST2 is a novel methylarsenite oxidase
Authors: Zhang Jun , Li Yan‐Ning , Chen Jian , Yan Yu , Rosen Barry P. , Zhao Fang‐Jie 
Published: March 2022

SummaryTrivalent methylarsenite [MAs(III)] produced by biomethylation is more toxic than inorganic arsenite [As(III)]. Hence, MAs(III) has been proposed to be a primordial antibiotic. Other bacteria evolved mechanisms to detoxify MAs(III). In this study, the molecular mechanisms of MAs(III) resistance of Ensifer adhaerens ST2 were investigated. In the chromosome of E. adhaerens ST2 is a gene encoding a protein of unknown function. Here, we show that this gene, designated arsZ, encodes a novel MAs(III) oxidase that confers resistance by oxidizing highly toxic MAs(III) to relatively nontoxic MAs(V). Two other genes, arsRK, are adjacent to arsZ but are divergently encoded in the opposite direction. Heterologous expression of arsZ in Escherichia coli confers resistance to MAs(III) but not to As(III). Purified ArsZ catalyses thioredoxin‐ and NAPD+‐dependent oxidation of MAs(III). Mutational analysis of ArsZ suggests that Cys59 and Cys123 are involved in the oxidation of MAs(III). Expression of arsZ, arsR and arsK genes is induced by MAs(III) and As(III) and is likely controlled by the ArsR transcriptional repressor. These results demonstrate that ArsZ is a novel MAs(III) oxidase that contributes to E. adhaerens tolerance to environmental organoarsenicals. The arsZRK operon is widely present in bacteria within the Rhizobiaceae family.
Reparameterization of the Weibull model for practical uses in food science
Authors: De Flaviis Riccardo , Sacchetti Giampiero 
Published: March 2022

AbstractAbstract: The reparameterization of the Weibull cumulative distribution function and its survival function was performed to obtain meaningful parameters in food and biological sciences such as the lag phase (λ), the maximum rate (), and the maximum increase/decrease of the function (A). The application of the Lambert function was crucial in order to achieve an explicit mathematical solution. Since the reparameterized model is applicable only when the shape parameter (α) is greater than one, the Weibull model was modified with the introduction of a new parameter () that represents the model rate at time β (scale parameter). All models were applied to literature data on food technology and microbiology topics: Microbial growth, thermal microbial inactivation, thermal degradation kinetics, and particle size distributions. The Weibull model and the reparameterized versions showed identical fitting performance in terms of coefficient of determination, residual mean standard error, values of residuals, and estimated values of the parameters. Some faults in the datasets used in this study permitted to re‐mark the criticality of a good experimental plan when data modeling is approached. The parameter resulted in an interesting new rate parameter that is not correlated with the scale parameter ( = 0.64 ± 0.37) and highly correlated with the shape parameter ( = 0.90 ± 0.11). Also, the reparameterization of the Weibull probability density function was performed by using both the standard and new parameters and applied to experimental data and gave useful information from the distribution curve, such as the value of the mode () and a measure of the curve skewness (λ).
Harnessing natural history collections to detect trends in body‐size change as a response to warming: A critique and review of best practices
Authors: Theriot Miranda K. , Lanier Hayley C. , Olson Link E. 
Published: April 2022

Abstract

Specimen‐based data have played a central role in documenting body‐size shifts as a possible response to global warming over the last century. Identification of the drivers and patterns of these trends requires comparisons across taxa, often through meta‐analyses; however, a lack of repeatability within and interoperability (i.e. the potential for a dataset to be augmented for future research) among published studies is a major obstacle.

We reviewed published studies on mammal body‐size changes in the Anthropocene, focusing on those that used museum specimens to analyse body‐size trends over time in at least one species. We assessed these papers for repeatability and interoperability with the following criteria: raw data and specimen identifiers were published and accessible, measurements were unambiguously defined, and potential sex‐ and age‐based size differences among individuals were accounted for.

Most published body‐size studies have low potential for replication or augmentation; only one of 27 met all of our criteria. Although these 27 papers collectively generated an estimated 51,790 new body‐size measurements, only 1.25% (649) could be repeated or readily used in further investigations, as the remainder did not include raw data and/or specimen identifiers.

Based on these findings, we recommend the following best practices in the study of body‐size trends. First, authors should explicitly define and justify all measures of size and quantify measurement error and publish all data, including measurements and specimen catalogue numbers. In addition to complying with the fundamental scientific tenet of repeatability, this minimizes redundant handling and the concomitant risk of damage to irreplaceable and often fragile museum specimens. Second, authors should test and account for the effects of demography, as some dimensions can change throughout an individual's life. Adopting these practices will improve the quality of body‐size studies, enhance the utility of extended specimen data from natural history collections, and enable researchers to conduct more expansive investigations of size trends over time.
Alzheimer‐like tau accumulation in dentate gyrus mossy cells induces spatial cognitive deficits by disrupting multiple memory‐related signaling and inhibiting local neural circuit
Authors: Li Shihong , Zhou Qiuzhi , Liu Enjie , Du Huiyun , Yu Nana , Yu Haitao , Wang Weijin , Li Mengzhu , Weng Ying , Gao Yang , Pi Guilin , Wang Xin , Ke Dan , Wang Jian‐Zhi 
Published: March 2022

AbstractAbnormal tau accumulation and spatial memory loss constitute characteristic pathology and symptoms of Alzheimer disease (AD). Yet, the intrinsic connections and the mechanism between them are not fully understood. In the current study, we observed a prominent accumulation of the AD‐like hyperphosphorylated and truncated tau (hTau N368) proteins in hippocampal dentate gyrus (DG) mossy cells of 3xTg‐AD mice. Further investigation demonstrated that the ventral DG (vDG) mossy cell‐specific overexpressing hTau for 3 months induced spatial cognitive deficits, while expressing hTau N368 for only 1 month caused remarkable spatial cognitive impairment with more prominent tau pathologies. By in vivo electrophysiological and optic fiber recording, we observed that the vDG mossy cell‐specific overexpression of hTau N368 disrupted theta oscillations with local neural network inactivation in the dorsal DG subset, suggesting impairment of the ventral to dorsal neural circuit. The mossy cell‐specific transcriptomic data revealed that multiple AD‐associated signaling pathways were disrupted by hTau N368, including reduction of synapse‐associated proteins, inhibition of AKT and activation of glycogen synthase kinase‐3β. Importantly, chemogenetic activating mossy cells efficiently attenuated the hTau N368‐induced spatial cognitive deficits. Together, our findings indicate that the mossy cell pathological tau accumulation could induce the AD‐like spatial memory deficit by inhibiting the local neural network activity, which not only reveals new pathogenesis underlying the mossy cell‐related spatial memory loss but also provides a mouse model of Mossy cell‐specific hTau accumulation for drug development in AD and the related tauopathies.