bluuebunny/crossref_metadata_2025_split huggingface dataset:
Online teaching and its impact on self-monitoring of faculty members: learnings for the future from a pandemic
Authors: Pandita Deepika , Kumar V.V. Ravi 
Published: November 2022

PurposeThis research aims to combine and extend the literature on the self-monitoring approach used by faculty members in online teaching during the COVID-19 pandemic using the Technology Acceptance Model (TAM) model. The study also highlights the challenges faced by faculty members in online teaching.Design/methodology/approachBased on a mixed methodology approach, the primary data was obtained from the faculty members of the post-graduate business schools. This data enabled the measurement of self-monitoring adopted by the faculty members and the relationship of the factors by using the TAM model. Multivariate regression was adopted to study the relationships between the elements in the TAM model and faculty members’ self-monitoring. Secondly, a few exploratory questions were asked to the respondents about the challenges faced by them during online teaching.FindingsThe quantitative analysis conducted using multiple regression directed that the faculty’s contentment with any digital platform influenced their engagement, attention and participation while taking an online class as a part of the self-monitoring process. The perception of the technology platforms used for online teaching affected the faculty members’ self-monitoring dimensions: attention, participation and engagement. Based on the qualitative approach, the thematic analysis pointed out five major challenges for faculty members in conducting online classes: I.T. support, hesitation, interaction with peers and students, proficiency with an online platform and evaluation challenges.Research limitations/implicationsThis study was conducted during the complete lockdown of the COVID-19 pandemic; many faculty members were initially trained to get familiarized with the online teaching platforms and educate students. Hence, this study enriches the literature on online teaching during pandemic times.Practical implicationsTo ensure that the faculty impacts quality online education and the students obtain the knowledge and skills required, faculty need to alter their pedagogy based on the technology they use to focus on their students’ teaching, learning and needs.Originality/valueThis study measures self-monitoring and its dimensions for faculty members, which is unique in nature. This was the first time the faculty members were imposed with the responsibility of online teaching and ensuring that the learning-teaching process was fruitful. This study has both-theoretical and practical implications as the paper focuses on various insights which can make online teaching-learning more effective.
A joint modeling and exploratory framework for intra-firm collaboration within construction and mining equipment industry
Authors: Goswami Mohit , Chan Felix T.S. , Ramkumar M. , Daultani Yash , Pratap Saurabh , Chhabra Ankita 
Published: November 2022

PurposeIn this research, collaboration attributes related to the firm's intrinsic and extrinsic facets at pertinent levels (i.e. enterprise, strategic, operational, and tactical levels) for construction equipment OEMs (original equipment manufacturers) operating in India have been quantified and modeled.Design/methodology/approachFor modeling the intra-firm collaboration at respective organizational levels, relevant attributes have been populated employing literature review followed by subsequent validation from pertinent focus groups. The focus groups comprising professionals working in the construction and mining equipment industry in India aided us in estimating the extent of interdependencies and influences within/amongst collaboration attributes. The collaboration attributes and respective interdependencies/influences are modeled employing the concept of graph theory wherein the individual attributes are represented using vertices and influences/interdependencies are represented using edges. The collaboration indices resulting from the variable permanent matrix have been derived as well.FindingsScenario and subsequent sensitivity analysis are performed. This research discusses the significance and aspects related to various collaborative attributes and the interrelations amongst them. Further, the research also evolves quantitative measures of collaboration indices at enterprise, strategic, tactical and operational levels by employing a graph-theoretic approach (GTA). The authors have also extricated and discussed a number of meaningful implications from both the perspectives of interorganizational relationships (IORs) and the normative theory of organizations using a cross-case analysis of five firms having operations in India.Originality/valueThe research would aid organizations (particularly those belonging to the construction equipment sector) measure the efficacy of collaboration in respective value-chains at strategic, tactical and operational levels. From the theoretical perspective, the integration of the IORs and normative theory of organizations enables looking at the intra-firm collaboration problem from a multi-dimensional standpoint involving activities, performance measures, action initiation, communication, shades of top management, level of activity, etc.
Optimism and intellectual engagement: a mediating moderating role of academic self-efficacy and academic burnout
Authors: Azila-Gbettor Edem Maxwell , Mensah Christopher , Abiemo Martin Kwasi , Agbodza Mavis 
Published: November 2022

PurposeThe study examines a mediated, moderated process of students' intellectual engagement from optimism, academic self-efficacy and academic burnout.Design/methodology/approachFive hundred and twenty-seven participants who completed a self-reported questionnaire were selected using a convenient sampling technique. PLSc was used to test the proposed hypotheses.FindingsResults showed that optimism positively affects students' intellectual engagement and academic self-efficacy. Additionally, academic self-efficacy correlates positively with students' intellectual engagement and further mediates the relationship between optimism and intellectual engagement. Finally, the moderation effect of academic burnout was positive and non-significant.Originality/valueThis paper is among the first to have tested a model including optimism, academic self-efficacy, intellectual engagement and academic burnout in a university setup from a developing country perspective.
GA-BP neural network modeling for project portfolio risk prediction
Authors: Bai Libiao , Wei Lan , Zhang Yipei , Zheng Kanyin , Zhou Xinyu 
Published: November 2022

PurposeProject portfolio risk (PPR) management plays an important role in promoting the smooth implementation of a project portfolio (PP). Accurate PPR prediction helps managers cope with risks timely in complicated PP environments. However, studies on accurate PPR impact degree prediction, which consists of both risk occurrence probabilities and risk impact consequences considering project interactions, are limited. This study aims to model PPR prediction and expand PPR prediction tools.Design/methodology/approachIn this study, the authors build a PPR prediction model based on a genetic algorithm and back-propagation neural network (GA-BPNN) integrated with entropy-trapezoidal fuzzy numbers. Then, the authors verify the proposed model with real data and obtain PPR impact degrees.FindingsThe test results indicate that the proposed method achieves an average absolute error of 0.002 and an average prediction accuracy rate of 97.8%. The former is reduced by 0.038, while the latter is improved by 32.1% when compared with the results of the original BPNN model. Finally, the authors conduct an index sensitivity analysis for identifying critical risks to effectively control them.Originality/valueThis study develops a hybrid PPR prediction model that integrates a GA-BPNN with entropy-trapezoidal fuzzy numbers. The authors use this model to predict PPR impact degrees, which consist of both risk occurrence probabilities and risk impact consequences considering project interactions. The results provide insights into PPR management.
Linking green intellectual capital, ambidextrous green innovation and firms green performance: evidence from Pakistani manufacturing firms
Authors: Shehzad Muhammad Usman , Zhang Jianhua , Dost Mir , Ahmad Muhammad Shakil , Alam Sajjad 
Published: November 2022

PurposeGiven the importance of environmental protection and the crucial role of manufacturing firms in environmental degradation, the purpose of this research is to investigate the impact of green intellectual capital (GIC) on firms' green performance (GP), mediating effects of ambidextrous green innovation (GI) and moderating role of technological turbulence (TT).Design/methodology/approachThe study employed a quantitative research approach with the partial least square structural equation modeling (PLS-SEM) methodology to assess the proposed relationships among the constructs on a sample of 334 executives from 134 medium and large-sized manufacturing firms.FindingsThe findings show that GIC significantly impacts different aspects of GP, including green management, green process and green product performance. Moreover, exploitative and exploratory GI serves as mediators between GIC and firms' GP. Finally, the findings demonstrate that TT moderation enhanced the effects of GIC on exploratory GI, while decreasing the effects of GIC on exploitative GI.Practical implicationsThe research offers valuable insights and a novel strategy for manufacturing firms and policymakers to mitigate environmental degradation and attain sustainable GP by stimulating ambidextrous GI through green intangible resources.Originality/valueThis research adds to the current GIC, GI and GP literature by focusing on green environmental issues using the resource-based view (RBV) theory. This research also provides a significant theoretical and practical justification for explaining the relationships by differentiating ambidextrous GI between exploitative and exploratory GI's mediating effects and TT's moderating effects.
Marketing strategies for fintech companies: text data analysis of social media posts
Authors: Oh Sungwon , Park Min Jae , Kim Tae You , Shin Jiho 
Published: November 2022

PurposeThis study aimed to present the methodology of the text data analysis to establish marketing strategies for fintech companies in a practical way. Specifically, the methodology was presented to convert customers' review data, which consisted of the text data (unstructured data), to the numerical data (structured data) by using a text mining algorithm “Global Vectors for Word Representation,” abbreviated as “GloVe”; additionally, the authors presented the methodology to deploy the numerical data for marketing strategies with eliminate-reduce-raise-create (ERRC) value factor analytics.Design/methodology/approachFirst, the authors defined the background, features and contents of fintech services based on a review of related literature review. Additionally, they examined business strategies, the importance of social media for fintech services and fintech technology trends based on the literature review. Next, they analyzed the similarity between fintech-related keywords, which represent the trends in fintech services, and the text data related to fintech corporations and their services posted on Facebook and Twitter, which are two of the most popular social media globally, during the period 2017–2019. The similarity was then quantified and categorized in terms of the representative global fintech companies and the status of each fintech service sector. Furthermore, the similarity was visualized, and value elements were rebuilt using ERRC strategy analytics.FindingsThis study is meaningful in that it quantifies the degree of similarity between customers' responses, experiences and expectations regarding the rapidly growing global fintech firms' services and trends in fintech services.Originality/valueThis study suggests a practical way to apply in business by providing a method for transforming unstructured text data into structured numerical data it is measurable. It is expected that this study can be used as the basis for exploring sustainable development strategies for the fintech industry.
Culture and well-being among sworn officers: an empirical examination
Authors: Patterson Silas , King William R. 
Published: November 2022

PurposeThis study aims to bridge the police culture and the police employee well-being literature by demonstrating significant linkages between the two.Design/methodology/approachThe authors examined the effects of culture on the well-being of officers in one police agency in the western United States during the summer of 2020. Using individual-level data, the authors model the association between officer perceptions of occupational culture and personal well-being for 125 sworn employees.FindingsThe results indicate that, for individual sworn officers, their adherence to elements of culture is related to well-being; specifically, burnout (BO) exhaustion, BO disengagement, job satisfaction and organizational commitment. Additionally, the cultural attitudes of administration, and citizens in the population, are both consistent predictors of officer well-being.Originality/valueThis study provides an important linkage between the police culture and police well-being literature, which to date has been given limited attention.
A study on the effect of surface topography of antifouling coatings on the settlement of fouling organisms
Authors: Kardar Pooneh , Amini Reza 
Published: November 2022

Purpose
The purpose of this paper is to study the correlation between different topographies and the reaction of Ulva Linza fouling species.

Design/methodology/approach
In this research, topographies with a different method, such as hot embossing and hot pulling, were achieved, and biological analyses were done with macroalgae Ulva Linza cells. The effect of topography via local binding geometry (honeycomb size gradients) and Wenzel roughness on the settling of Ulva microorganisms was tested.

Findings
As a result, Ulva spores confirmed different reactions to a similar set of tapered microstructures that was in agreement with the results on distinct honeycombs. The local binding geometry and the Wenzel roughness factor “r” were dominant on settling of Ulva Linza spores.

Research limitations/implications
The reaction of an organism at the interface of vehicles’ substrate is powerfully affected by surface topographies.

Practical implications
The best embedment occurred on structures with bigger sizes than Ulva Linza’s spores. The density of settled spores was proportional to Wenzel roughness and the spores favour to attach to “kink sites” positions.

Social implications
Unfortunately, unpleasant aggregation of marine biofouling on marine vehicles’ surfaces, generate terrific difficulties in the relevant industry.

Originality/value
There was a sharp relationship between Wenzel roughness and settle of Ulva Linza spores. The local binding geometry and the Wenzel roughness factor “r” were dominant on settling of Ulva Linza spores.
Electrical resistivity tomography and ground‐penetrating radar methods to detect archaeological walls of Babylonian houses near Ishtar temple, ancient Babylon city, Iraq
Authors: AL‐Hameedawi Mohammed M. , Thabit Jassim M. , AL‐Menshed Firas H. 
Published: November 2022

AbstractA survey was conducted to investigate buried archaeological walls near the Ishtar temple in the ancient Babylon city using electrical resistivity tomography and ground‐penetrating radar methods. The survey includes applying 12 electrical resistivity tomography profiles using dipole–dipole array and a ground‐penetrating radar grid of 55 m × 50 m using 250 MHz antenna. Although the buried walls are consisting of mudbrick masonry and are embedded in a clayey environment, the electrical resistivity tomography method is still able to differentiate the tiny differences between the host materials and the buried walls, which show distinctive wall‐like features with resistivity values ranging between 9 and 15 Ω m. These features may reflect underground‐buried walls with a general width reaching about 2.5 m. The comparison of ground‐penetrating radar profiles and their corresponding electrical resistivity tomography profiles presents that the main architectures are coinciding well. The analysis of the geometry and composition of the walls around the Ishtar temple suggested that the wall‐like reflections on the ground‐penetrating radar slice at a depth between 140 and 150 cm (may be shallower) are underground‐buried walls. These wall‐like reflections show a special trend and orientation that indicate that they may be the remains of rooms belonging to two small houses or the remains of one big private house.
Warmer temperatures are linked to widespread phenological mismatch among native and non‐native forest plants
Authors: Miller Tara K. , Heberling J. Mason , Kuebbing Sara E. , Primack Richard B. 
Published: November 2022

Abstract

Deciduous trees, shrubs and forest wildflowers may be advancing their leaf‐out phenology at different rates in response to a warming climate. A mismatch between understory and overstory phenology may lead to a reduction of understory light levels in the early spring, which is a critical period when many spring‐blooming wildflowers achieve highest photosynthetic rates. However, the extent of this phenomenon beyond a single site or region is largely unknown.

Using 3083 herbarium specimens collected between 1870 and 2019 across eastern North America, we assessed leaf‐out and flowering times of 10 tree species (6 native, 4 non‐native), 4 shrub species (2 native, 2 non‐native) and 7 wildflower species (6 native, 1 non‐native). We paired phenological data with historical climate data to quantify differences in phenological sensitivity to spring temperature across canopy strata, across species' geographical ranges and between native and non‐native species.

Predicted phenological mismatches between native trees and wildflowers differed across large spatial scales, with wildflower populations in warmer regions of North America more likely to be affected. Overall, native tree species leafed out 3.6 days earlier per °C spring warming, while native wildflower species advanced their flowering times by 3.2 days per °C, resulting in phenological mismatch as wildflowers experience fewer days before tree leaf‐out at warmer temperatures. Native trees and wildflowers in the warmer, southern part of their ranges advanced their spring phenology 2 and 1.5 times faster, respectively, than those in colder, northern locations. The phenological sensitivity of non‐native plants was less variable across their ranges. Non‐native trees and shrubs exhibited greater phenological sensitivity than native wildflowers. Notably, phenological sensitivities differed substantially among wildflower species, suggesting that certain species are more likely to be affected by phenological mismatch as climate warming progresses.

Synthesis: Our results provide new insight into novel phenological responses within and among species across a wide geographical range and the potential impact of competition and interactions with non‐native invasive species. This research highlights the value of newly‐available digitized museum collections in phenological research to cover longer time periods, wider spatial areas and a greater diversity of species than otherwise possible.
Hormone replacement cycles are associated with a higher risk of hypertensive disorders: Retrospective cohort study in singleton and twin pregnancies
Authors: Pape Janna , Levy Jérémy , von Wolff Michael 
Published: November 2022

AbstractObjectiveTo elaborate the associations of different cycle regimens (natural cycle [NC], stimulated cycle [SC], hormone replacement cycle [HRC]) on maternal and neonatal adverse pregnancy outcomes after frozen–thawed embryo transfers (FET).DesignPopulation‐based registry study.SettingSwiss IVF Registry.Population or SampleSingleton (n = 4636) and twin (n = 544) live births after NC‐FET (n = 776), SC‐FET (n = 758) or HRC‐FET (n = 3646) registered from 2014 to 2019.MethodsFifteen pregnancy pathologies were modelled for singleton and twin pregnancies using mixed models adjusted for cycle regimen, delivery, fertilisation technique, chronic anovulation, age of mother and centre.Main outcome measuresMaternal (vaginal bleeding, isolated arterial hypertension and pre‐eclampsia) and neonatal (gestational age, birthweight, mode of delivery) adverse pregnancy outcomes.ResultsIn singleton pregnancies, the incidences of bleeding in first trimester, isolated hypertension and pre‐eclampsia were highest in HRC‐FET with doubled odds of bleeding in first trimester (adjusted odds ratio [aOR] 2.23; 95% CI 1.33–3.75), isolated hypertension (aOR 2.50; 95% CI 1.02–6.12) and pre‐eclampsia (aOR 2.16; 95% CI 1.13–4.12) in HRC‐FET vs. NC‐FET and with doubled respectively sixfold odds of bleeding (aOR 2.08; 95% CI 1.03–4.21) and pre‐eclampsia (6.02; 95% CI 1.38–26.24) in HRC‐FET versus SC‐FET. In twin pregnancies, the incidence of pre‐eclampsia was highest in HRC‐FET with numerically higher odds of pre‐eclampsia in HRC‐FET versus NC‐FET and versus SC‐FET.ConclusionsOur data implied the highest maternal risks of hypertensive disorders in HRC‐FET, therefore clinicians should prefer SC‐FET or NC‐FET if medically possible.
Dityrosine in food: A review of its occurrence, health effects, detection methods, and mitigation strategies
Authors: Li Bowen , Yang Yuhui , Ding Yinyi , Ge Yueting , Xu Yuncong , Xie Yanli , Shi Yonghui , Le Guowei 
Published: November 2022

AbstractProtein and amino acid oxidation in food products produce many new compounds, of which the reactive and toxic compound dityrosine, derived from oxidized tyrosine, is the most widely studied. The high reactivity of dityrosine enables this compound to induce oxidative stress and disrupt thyroid hormone function, contributing to the pathological processes of several diseases, such as obesity, diabetes, cognitive dysfunction, aging, and age‐related diseases. From the perspective of food safety and human health, protein‐oxidation products in food are the main concern of consumers, health management departments, and the food industry. This review highlights the latest research on the formation pathways, toxicity, detection methods, occurrence in food, and mitigation strategies for dityrosine. Furthermore, the control of dityrosine in family cooking and food‐processing industry has been discussed. Food‐derived dityrosine primarily originates from high‐protein foods, such as meat and dairy products. Considering its toxicity, combining rapid high sensitivity dityrosine detection techniques with feasible control methods could be an effective strategy to ensure food safety and maintain human health. However, the current dityrosine detection and mitigation strategies exhibit some inherent characteristics and limitations. Therefore, developing technologies for rapid and effective dityrosine detection and control at the industrial level is necessary.