bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating the sustainable use of mobile payment contactless technologies within and beyond the COVID-19 pandemic using a hybrid SEM-ANN approach
Authors: Al-Sharafi Mohammed A. , Al-Qaysi Noor , Iahad Noorminshah A. , Al-Emran Mostafa 
Published: December 2021

PurposeWhile there is an abundant amount of literature studies on mobile payment adoption, there is a scarce of knowledge concerning the sustainable use of mobile payment contactless technologies. As those technologies are mainly concerned with security and users' trust, the question of how security factors and trust can influence the sustainable use of those technologies within and beyond the COVID-19 pandemic is still unanswered. This research thus develops a theoretical model based on integrating the protection motivation theory (PMT) and the expectation-confirmation model (ECM), extended with perceived trust (PT) to explore the sustainable use of mobile payment contactless technologies.Design/methodology/approachThe developed model is evaluated based on data collected through a web-based survey from 523 users who used contactless payment technologies. Unlike the existing literature, the collected data were analyzed using a hybrid structural equation modeling-artificial neural network (SEM-ANN) technique.FindingsThe data analysis results reinforced all the proposed relationships in the developed model. The sensitivity analysis results showed that PT has the largest impact on the sustainable use of mobile payment contactless technologies with 97.2% normalized importance, followed by self-efficacy (SE) (77%), satisfaction (72.1%), perceived vulnerability (PV) (48.9%), perceived usefulness (PU) (48.2%), perceived severity (PS) (40.7%), response efficacy (RE) (28.7%) and response costs (RCs) (24.1%).Originality/valueThe originality of this research lies behind the development of an integrated model based on PMT and ECM to understand the sustainable use of mobile payment contactless technologies. The study provides several managerial implications for decision-makers, policy-makers and service providers to ensure the sustainability of those contactless technologies within and beyond the COVID-19 pandemic.
Artificial intelligent chatbots as brand promoters: a two-stage structural equation modeling-artificial neural network approach
Authors: Lee Crystal T. , Pan Ling-Yen , Hsieh Sara H. 
Published: December 2021

PurposeThis study investigates the determinants of effective human and artificial intelligence (AI) relationship-building strategies for brands. It explores the antecedents and consequences of consumers' interactant satisfaction with communication and identifies ways to enhance consumer purchase intention via AI chatbot promotion.Design/methodology/approachMicrosoft Xiaoice served as the focal AI chatbot, and 331 valid samples were obtained. A two-stage structural equation modeling-artificial neural network approach was adopted to verify the proposed theoretical model.FindingsRegarding the IQ (intelligence quotient) and EQ (emotional quotient) of AI chatbots, the multi-dimensional social support model helps explain consumers' interactant satisfaction with communication, which facilitates affective attachment and purchase intention. The results also show that chatbots should emphasize emotional and esteem social support more than informational support.Practical implicationsBrands should focus more on AI chatbots' emotional and empathetic responses than functional aspects when designing dialogue content for human–AI interactions. Well-designed AI chatbots can help marketers develop effective brand promotion strategies.Originality/valueThis research enriches the human–AI interaction literature by adopting a multi-dimensional social support theoretical lens that can enhance the interactant satisfaction with communication, affective attachment and purchase intention of AI chatbot users.
Artificial intelligence in agricultural value chain: review and future directions
Authors: Ganeshkumar C. , Jena Sanjay Kumar , Sivakumar A. , Nambirajan T. 
Published: December 2021

PurposeThis paper is a literature review on use of artificial intelligence (AI) among agricultural value chain (AVC) actors, and it brings out gaps in research in this area and provides directions for future research.Design/methodology/approachThe authors systematically collected literature from several databases covering 25 years (1994–2020). They classified literature based on AVC actors present in different stages of AVC. The literature was analysed using Nvivo 12 (qualitative software) for descriptive and content analysis.FindingsFifty percent of the reviewed studies were empirical, and 35% were conceptual. The review showed that AI adoption in AVC could increase agriculture income, enhance competitiveness and reduce cost. Among the AVC stages, AI research related to agricultural processing and consumer sector was very low compared to input, production and quality testing. Most AVC actors widely used deep learning algorithm of artificial neural networks in various aspects such as water resource management, yield prediction, price/demand forecasting, energy efficiency, optimalization of fertilizer/pesticide usage, crop planning, personalized advisement and predicting consumer behaviour.Research limitations/implicationsThe authors have considered only AI in the AVC, AI use in any other sector and not related to value chain actors were not included in the study.Originality/valueEarlier studies focussed on AI use in specific areas and actors in the AVC such as inputs, farming, processing, distribution and so on. There were no studies focussed on the entire AVC and the use of AI. This review has filled that literature gap.
ISM-MICMAC approach for analysis of project-based learning barriers
Authors: Kundu Goutam Kumar , Perwez Syed Khalid 
Published: December 2021

Purpose
This paper aims to identify and model the key barriers to implementation of project-based learning (PjBL) in higher educational institution.

Design/methodology/approach
Using the interpretive structural modelling (ISM) technique, the study has developed a hierarchical-based model, depicting the mutual relationships amongst the key barriers to implementation of PjBL. Additionally, the paper has performed Matrice d’ Impacts Croises Multiplication Appliqué an Classement (MICMAC) analysis to categorize the barriers in terms of their driving and dependence power.

Findings
The study has identified the key barriers to implementation of PjBL and presented an integrated model using ISM. Higher educational institutions need to pay attention to diagnose and overcome these hindrances for effective implementation of PjBL in their programmes.

Research limitations/implications
The study adopts a systematic way to model the relevant barriers to implementation of PjBL. The ISM-based model would help higher education institutions to prioritize the issues as the barriers are hierarchically structured. As the input to model development is based on the experts’ opinions, it may be biased, influencing the final output of the structural model.

Originality/value
The presentation of PjBL implementation barriers in the form of an ISM-based model is a new effort. The model would be useful to understand the barriers and overcome these for the successful implementation of PjBL in higher educational institutions.
Can labor productivity growth reduce carbon emission? Evidence from OECD countries and China
Authors: Chen Xueli , Ma Wanshu , Valdmanis Vivian 
Published: December 2021

PurposeThe purpose of this study is to examine the challenges involved in the trade-offs of labor productivity and per capita carbon dioxide (CO2) emission.Design/methodology/approachIn this research, we used a balanced dataset of 36 OECD countries and China between 1990 and 2018. We examined the relationship between labor productivity and per capita CO2 emission for OECD countries and China based on an Environmental Kuznets Curve (EKC) hypothesis. Further, the fixed effects model of estimation was employed to examine the impact of variables during the sample period and explore the relationship between predictor and outcome variables within an entity while controlling for all time-invariant differences.FindingsThis study confirmed the existence of the N-shape EKC hypothesis in 36 OECD countries and China. This implies that at the initial development stage, per capita CO2 emission increased with labor productivity; however, after reaching certain threshold, per capita CO2 emission began to fall with rising labor productivity. Then the per capita CO2 emission rises again when labor productivity continually increases.Originality/valueIn this study, we explored the dynamic association between labor productivity and per capita CO2 emissions for 36 OECD countries and China under the EKC framework from 1990 to 2018 by using the labor productivity and per capita CO2 emission as economic and environmental indicators of one country respectively. This study’s contribution showed the following: first, the empirical findings confirmed the N-shape relationship between labor productivity and per capita CO2 emissions for 36 OECD countries and China; second, the findings demonstrated that the association among the underlying variables by testing through the fixed effect model.
Analyzing complexities in the Brazilian soybean supply chain: a systems thinking and modeling approach
Authors: Filassi Monique , Oliveira Andréa Leda Ramos de , Elias Arun Abraham , Braga Marsola Karina 
Published: December 2021

Purpose
This study aims to analyze the complexities of the Brazilian soybean supply chain (SSC) and develop strategic interventions to improve the origin system’s performance.

Design/methodology/approach
This study used stakeholder interviews to identify the SSC bottlenecks and determine and assess drivers of competitiveness. A methodological framework based on the systems thinking approach for developing long-term structural changes was used. The problem was structured using behavior over time graph and causal loop modeling to propose three investment strategies to solve the logistics problem in SSC.

Findings
This study highlights the gaps in coordination between stakeholders and the public sector regarding the public policy for infrastructure investment. Three strategic interventions were developed to address the agro-industrial logistical problem, namely, investment in storage, multimodal transport systems and improvements in existing transport infrastructure. To overcome transport and storage logistics limitations, the authors suggest different forms of partnerships, including public-private partnerships.

Research limitations/implications
This research is limited to evaluating an agricultural commodity (soybean) and does not include its by-products. The sample of stakeholders was limited and the boundary of analysis was Brazil. Nevertheless, the study showed how strategic interventions could be developed following a holistic analysis.

Practical implications
The proposed integrated approach illustrates the development of three strategic initiatives. It can be implemented by stakeholders, including the public sector, which is the basis for providing assertive long-term investments in Brazilian logistics.

Social implications
The SSC analysis could promote the implementation of systemically determined interventions and strategies. It could significantly improve the performance of agricultural systems and help the formulation of public policies aimed at rural development.

Originality/value
The use of system dynamics to identify intervention points is an essential contribution to mitigating the SSC’s hindrances. Moreover, the combining methodologies resulted in comprehensive intervention strategies.
Moderating role of power distance in the relationship between leader-leader exchange (LLX) and knowledge sharing: is feedback-seeking behavior a missing link?
Authors: Farooq Rayees , Tripathi Nachiketa 
Published: December 2021

Purpose
This study aims to investigate the effect of leader-leader exchange (LLX) on knowledge sharing through feedback-seeking behavior. The study also explores the moderating role of power distance.

Design/methodology/approach
A cross-sectional data of 290 knowledge workers from manufacturing and service firms in India were taken as a sample of the study. The hypotheses were tested using confirmatory factor analysis, structural equation modeling and hierarchical regression.

Findings
The results showed that LLX positively affects knowledge sharing and feedback-seeking behavior mediates the relationship between LLX and knowledge sharing. Moreover, power distance does not moderate the relationship between LLX and knowledge sharing.

Originality/value
The present study one of its kind explores the relationship between LLX, feedback-seeking behavior, knowledge sharing and power distance.
A trade‐off between growth and hydraulic resilience against freezing leads to divergent adaptations among temperate tree species
Authors: Yin Xiao‐Han , Hao Guang‐You , Sterck Frank 
Published: December 2021

Abstract

In humid temperate forests, the occurrence of frequent freeze–thaw cycles (FTC) is a main factor limiting tree growth, as xylem embolism induced by FTC poses a serious threat to the hydraulic integrity of trees. A high resilience to hydraulic dysfunction involves the enhancement of embolism resistance and/or extra non‐structural carbohydrate (NSC) inputs for restoration of an impaired hydraulic system. However, potentially negative implications of such NSC allocation on tree growth have not yet been explored.

At a temperate forest site of northeast China, we studied xylem hydraulics and NSC contents in relation to winter embolism resilience in 15 sympatric broadleaf tree species belonging to three genera with relatively high species richness, but having distinct strategies in maintaining hydraulic integrity over the winter, that is, Acer species that generate positive stem and root pressures contributing to winter embolism refilling, Betula species that only generate root pressure and Populus species that do not generate positive pressure.

Acer and Betula species had higher soluble sugar contents in the dormant season and indeed had higher hydraulic resilience to FTC‐induced embolism but slower stem growth. Populus species had higher NSC contents during the growing season and their faster stem growth was also consistent with higher hydraulic efficiency and leaf photosynthetic rate. The positive correlation between tree trunk radial growth rate and hydraulic conductivity suggests that xylem water transport efficiency can be a fundamental basis for tree productivity due to a significant hydraulic‐photosynthetic coordination. The negative correlation between soluble sugar concentration in the dormant season and stem growth rate indicates that metabolic carbon costs for enhancing hydraulic resilience may compromise tree growth during the growing season.

Comparisons among Acer, Betula and Populus and the correlation analyses based on phylogenetic independent contrasts strongly support the existence of a trade‐off between hydraulic resilience against FTC‐induced embolism and growth rate among sympatric tree species under humid temperate climate conditions. This trade‐off has likely contributed to the sorting of temperate tree species and genera to different niches along environmental gradients with respect to freezing stress and interspecific competition.

A free Plain Language Summary can be found within the Supporting Information of this article.
YIMBYISM, THE ENVIRONMENT, AND THE REMAKING OF RACE AND CLASS COALITIONS IN AUSTIN, TX
Authors: Tretter Eliot , Mueller Elizabeth J. , Heyman Rich 
Published: December 2021

AbstractRecently, debates about the future of Austin's housing policies have been reshaped by the rise of a vocal group of well‐organized and self‐styled YIMBYs. In particular, this group has been important in the restructuring of political coalitions that both support and oppose the Urbanist elements contained in the ongoing land‐development code (LDC) reform effort, especially the realignment of mainstream environmentalists. One significant stake in this effort is the fate of neighborhoods closest to the central business district, historically home to lower‐income people of color. We show how the political configuration of the two coalitions represents a major reshaping of longstanding political alignments in Austin and suggest that stalwart alliances are giving way to new ones, both here and elsewhere; yet, these realignments hold little promise for addressing issues of equity, despite the fact that addressing racial inequalities has been a central concern in debates over the LDC on both sides. We note the increasing limits of growth machine theory in accounting for this change for two reasons: (1) changing attitudes among mainstream environmentalists towards Austin's urban redevelopment; (2) the persistence of racial and class differences in shaping the unevenness of Austin's future neighborhood development.
Research to Clinical Practice—Youth seeking mental health information online and its impact on the first steps in the patient journey
Authors: Scott Jan , Hockey Samuel , Ospina‐Pinillos Laura , Doraiswamy P. Murali , Alvarez‐Jimenez Mario , Hickie Ian 
Published: December 2021

AbstractBackgroundOnline searches about anxiety and depression are recorded every 3–5 s. As such, information and communication technologies (ICT) have enormous potential to enable or impair help‐seeking and patient‐professional interactions. Youth studies indicate that ICT searches are undertaken before initial mental health consultations, but no publications have considered how this online activity affects the first steps of the patient journey in youth mental health settings.MethodsState‐of‐the‐art review using an iterative, evidence mapping approach to identify key literature and expert consensus to synthesize and prioritise clinical and research issues.ResultsAdolescents and young adults are more likely to seek health advice via online search engines or social media platforms than from a health professional. Young people not only search user‐generated content and social media to obtain advice and support from online communities but increasingly contribute personal information online.ConclusionsA major clinical challenge is to raise professional awareness of the likely impact of this activity on mental health consultations. Potential strategies range from modifying the structure of clinical consultations to ensure young people are able to disclose ICT activities related to mental health, through to the development and implementation of ‘internet prescriptions’ and a youth‐focused ‘toolkit’.
The effects of assisted autogenic drainage, combined or not with bouncing on gastroesophageal reflux in infants
Authors: Lievens Laure , Vandenplas Yvan , Vanlaethem Sylvie , Van Ginderdeuren Filip 
Published: December 2021

AbstractAimThis study aimed to determine the effect of assisted autogenic drainage (AAD) with or without bouncing (BAAD) on both acid and non‐acid gastroesophageal reflux (GER) in infants <1 year.MethodsDuring a 24‐h multichannel intraluminal impedance‐pH monitoring (MII‐pH), infants were treated with a 20‐min intervention of AAD (in supine position) or BAAD (in upright position), 2 h postprandial. In this controlled trial with intra‐subject design, the number of reflux episodes (REs) was the primary outcome measure. The results during AAD and BAAD were compared to a baseline period before intervention and 20 min after intervention.ResultsOverall, 50 infants were included in both groups. During AAD a significant decrease of RE’s was found compared to baseline (p = 0.001). No significant differences were found in the BAAD group compared to baseline (p = 0.125).ConclusionAAD and BAAD do not cause or increase GER in infants under the age of 1 year.
Structural geometry and evolution of the Rukwa Rift Basin, Tanzania: Implications for helium potential
Authors: Mulaya Ernest , Gluyas Jon , McCaffrey Ken , Phillips Thomas , Ballentine Chris 
Published: December 2021

AbstractThe Rukwa Rift Basin, Tanzania is regarded as a modern example of a cratonic rift zone despite complex polyphase extensional and episodic inversion structures. We interpret 2D seismic reflection data tied to wells to identify and describe structures controlling stratigraphic sequences (Late Carboniferous to Pleistocene) in two main segmented Rukwa Rift domains, A and B, which are controlled by the Chisi and Saza shear zones. Fault geometry and stratal patterns are illustrated in relation to their kinematic interaction with folds. Fold structures reflect both extensional and compressional deformation and were mapped with a particular interest for their helium potential. We illustrate fault bend folds, fault propagation folds and fault propagation monoclines that are related to extension events. Folds related to compression exhibit various structural styles reflecting at least two phases of episodic and widespread inversion. First, Early Jurassic inversion phase which involved multi‐faulted anticlines in the Karoo strata. Second, a mild and widespread inversion structures during the Pleistocene which are characterised by both symmetrical and asymmetrical anticlines styles. Taken together, the extensional and compressional fold structures, stratal juxtapositions and unconformities define stratigraphic packages that are widely distributed in the Rukwa Rift Basin, and form potential subsurface traps for helium‐nitrogen–rich gases, from which some seep to the surface, evidently documented in thermal springs across the region.
Impact of different protonation states on virtual screening performance against cruzain
Authors: Santos Viviane Corrêa , Campos Augusto César Broilo , Waldner Birgit J. , Liedl Klaus R. , Ferreira Rafaela Salgado 
Published: December 2021

AbstractThe cysteine protease cruzain is a Chagas disease target, exploited in computational studies. However, there is no consensus on the protonation states of the active site residues Cys25, His162, and Glu208 at the enzyme's active pH range. We evaluated the impact of different protonation states of these residues on docking calculations. Through a retrospective study with cruzain inhibitors and decoys, we compared the performance of virtual screening using four grids, varying protonation states of Cys25, His162, and Glu208. Based on enrichment factors and ROC plots, docking with the four grids affected compound ranking and the overall charge of top‐ranking compounds. Different grids can be complementary and synergistic, increasing the odds of finding different ligands with diverse chemical properties.