bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preliminary cost forecasting and optimization for the construction of steel pedestrian bridges in Egypt
Authors: Badra Niveen , Hegazy Hosam , Mousa Mohamed , Zhang Jiansong , Syed Zakaria Sharifah Akmam , Aboul Haggag Said , Abdul-Rashied Ibrahim 
Published: December 2023

PurposeThis research aims to create a methodology that integrates optimization techniques into preliminary cost estimates and predicts the impacts of design alternatives of steel pedestrian bridges (SPBs). The cost estimation process uses two main parameters, but the main goal is to create a cost estimation model.Design/methodology/approachThis study explores a flexible model design that uses computing capabilities for decision-making. Using cost optimization techniques, the model can select an optimal pedestrian bridge system based on multiple criteria that may change independently. This research focuses on four types of SPB systems prevalent in Egypt and worldwide. The study also suggests developing a computerized cost and weight optimization model that enables decision-makers to select the optimal system for SPBs in keeping up with the criteria established for that system.FindingsIn this paper, the authors developed an optimization model for cost estimates of SPBs. The model considers two main parameters: weight and cost. The main contribution of this study based on a parametric study is to propose an approach that enables structural engineers and designers to select the optimum system for SPBs.Practical implicationsThe implications of this research from a practical perspective are that the study outlines a feasible approach to develop a computerized model that utilizes the capabilities of computing for quick cost optimization that enables decision-makers to select the optimal system for four common SPBs based on multiple criteria that may change independently and in concert with cost optimization during the preliminary design stage.Social implicationsThe model can choose an optimal system for SPBs based on multiple criteria that may change independently and in concert with cost optimization. The resulting optimization model can forecast the optimum cost of the SPBs for different structural spans and road spans based on local unit costs of materials cost of steel structures, fabrication, erection and painting works.Originality/valueThe authors developed a computerized model that uses spreadsheet software's capabilities for cost optimization, enabling decision-makers to select the optimal system for SPBs meeting the criteria established for such a system. Based on structural characteristics and material unit costs, this study shows that using the optimization model for estimating the total direct cost of SPB systems, the project cost can be accurately predicted based on the conceptual design status, and positive prediction outcomes are achieved.
How can digitalisation help emerging marketing multinational companies improve innovation performance through international ambidexterity? Analysis of China’s healthcare industry
Authors: Xiao Peng , Zhang Haiyan , Yin Shimin , Xia Zhe 
Published: December 2023

PurposeThis study aims to explore the role of international ambidexterity (IA) in improving the innovation capability of emerging market multinationals. In particular, the main purpose of this research is to study the relationship amongst digitalisation, IA and innovation performance (IP) amongst multinational enterprises in China’s healthcare industry.Design/methodology/approachThe data for this investigation were collected from 134 listed companies in China’s healthcare industry during the study period. This study tested the hypotheses by constructing a two-way fixed-effects model.FindingsThe results show that both the balance dimension and the combined dimension of IA have significant positive effects on IP. Digitalisation not only has a direct positive effect on IP but also positively moderates the positive correlation between IA and IP.Originality/valuePrevious studies have not captured the relationship between ambidexterity, digitalisation and IP, and this study helps to fill in the gap and examine these associations in China’s healthcare industry. The results of this study provide valuable insights for healthcare industry managers to understand the role of ambidexterity and digitalisation in innovation in the context of internationalisation.
Intention to use green energy among Chinese adults: an extended value-attitude-intention model
Authors: To Wai Ming , Lam King Hang 
Published: December 2023

Purpose
Switching to green energy is a crucial step in achieving carbon neutrality. This study aims to explore what motivates people to use green energy and how much more people are willing to pay for green energy.

Design/methodology/approach
Grounded on the value–attitude–intention hierarchy, this study proposes that environmental consciousness as a human value influences attitudes including attitude toward environmental issues and attitude toward ecosocial benefits while attitudes, information and knowledge about green energy and quality and price of green energy influence people’s intention to use green energy. Data were collected from 342 Chinese adults.

Findings
Results showed that environmental consciousness significantly and positively influenced attitudes while attitude toward environmental issues had the greatest effect on people’s intention to use green energy, followed by quality and price of green energy. About 44% respondents were willing to pay 2.5% to <5% more money for green energy.

Originality/value
This study extended the use of value–attitude–intention hierarchy to investigate what motivates people to use green energy. Specifically, this study demonstrated that quality and price, and knowledge and information also significantly shaped people’s intention to use green energy significantly.
Interrogating the practice of integrity in Tanzania public service
Authors: Ackim Josephine , Rugeiyamu Rogers , Msendo Adam 
Published: December 2023

PurposeDeterioration of integrity is featured in public service across the globe, including Tanzania. Local government authorities (LGAs) are among the areas where such practices have been reported. However, factors compromising integrity in LGAs receives less attention from the literature. Citing 19 LGAs from Tanzania, this study aims to examine contributes to this debate.Design/methodology/approachA sequential explanatory research design was applied. Data were collected from 54 respondents through survey questionnaires, interviews and a documentary review. The study was guided by Hoekstra theoretical framework for assessing integrity practices in LGAs.FindingsThe findings revealed that maintaining integrity in Tanzania's LGAs is still challenging. Poor institutionalization processes, institutional unpreparedness, insufficient integrity policy execution and being less informed of moral development of recruited public servants are said to compromise integrity in Tanzania LGAs. This qualifies to conclude that institutional pathologies and moral history of public servants are the major factors contributing to integrity deterioration in Tanzania LGAs. This has resulted in subpar service delivery and the waste of public funds.Research limitations/implicationsThis study confined itself to Tanzania LGAs. More studies could be conducted to LGAs in other countries struggling with the same problem. On the same ground, moral development should be studied more to ensure that the public service receives ethical public servants in the future.Practical implicationsThe theoretical framework for assessing integrity systems in LGAs as proposed by Hoekstra (2022) could be applied by other countries struggling with the same challenge.Originality/valueLGAs must implement an integrity-based self-reflection technique that will allow them to assess their current condition and come up with solutions. Furthermore, institutional policies must be strengthened to govern ethical behavior in LGAs.
Comparing job applicant deception in asynchronous vs synchronous video interviews, with and without AI-assisted assessments
Authors: Suen Hung-Yue , Hung Kuo-En 
Published: December 2023

PurposeAsynchronous Video Interviews (AVIs) incorporating Artificial Intelligence (AI)-assisted assessment has become popular as a pre-employment screening method. The extent to which applicants engage in deceptive impression management (IM) behaviors during these interviews remains uncertain. Furthermore, the accuracy of human detection in identifying such deceptive IM behaviors is limited. This study seeks to explore differences in deceptive IM behaviors by applicants across video interview modes (AVIs vs Synchronous Video Interviews (SVIs)) and the use of AI-assisted assessment (AI vs non-AI). The study also investigates if video interview modes affect human interviewers' ability to detect deceptive IM behaviors.Design/methodology/approachThe authors conducted a field study with four conditions based on two critical factors: the synchrony of video interviews (AVI vs SVI) and the presence of AI-assisted assessment (AI vs Non-AI): Non-AI-assisted AVIs, AI-assisted AVIs, Non-AI-assisted SVIs and AI-assisted SVIs. The study involved 144 pairs of interviewees and interviewers/assessors. To assess applicants' deceptive IM behaviors, the authors employed a combination of interviewee self-reports and interviewer perceptions.FindingsThe results indicate that AVIs elicited fewer instances of deceptive IM behaviors across all dimensions when compared to SVIs. Furthermore, using AI-assisted assessment in both video interview modes resulted in less extensive image creation than non-AI settings. However, the study revealed that human interviewers had difficulties detecting deceptive IM behaviors regardless of the mode used, except for extensive faking in AVIs.Originality/valueThe study is the first to address the call for research on the impact of video interview modes and AI on interviewee faking and interviewer accuracy. This research enhances the authors’ understanding of the practical implications associated with the use of different video interview modes and AI algorithms in the pre-employment screening process. The study contributes to the existing literature by refining the theoretical model of faking likelihood in employment interviews according to media richness theory and the model of volitional rating behavior based on expectancy theory in the context of AVIs and AI-assisted assessment.
Cognitive functioning and life satisfaction as predictors of subjective health complaints in elderly people
Authors: Serra Lídia , Silva Luís 
Published: December 2023

Purpose
Effective cognitive functioning elucidates the orchestrated interplay of diverse mental faculties in addressing daily tasks, potentially indicative of an improved state of an individual’s health. Linked to this is the potential role of life satisfaction, which may aid individuals in better managing their health-related challenges. The purpose this study is to examine whether the cognitive functioning and life satisfaction levels of elderly individuals serve as predictors of their subjective health complaints.

Design/methodology/approach
The research involved a cohort of 126 elderly community residents. The assessment tools used encompassed a socio-demographic questionnaire, the mini-mental state examination (MMSE), the scale of subjective health complaints and a life satisfaction scale.

Findings
The findings reveal that both cognitive functioning and life satisfaction are predictive variables for subjective health complaints, validated in both the original sample and simulated samples.

Originality/value
This study’s innovation lies in highlighting the importance of cognitive functioning and life satisfaction among the elderly population as explanatory factors for subjective health complaints. Consequently, these dimensions warrant consideration in specialized intervention programs aimed at promoting the health and quality of life among the elderly.
Voices in the storm: Analyzing MakeMyTrip's crisis communication during COVID‐19 through a multivocality lens
Authors: Upadhyay Shalini , Upadhyay Nitin , Gour Alekh 
Published: December 2023

AbstractThe COVID‐19 pandemic's travel restrictions have created significant difficulties for travellers and online travel agencies (OTAs), such as MakeMyTrip (MMT). This research examines MMT's crisis communication during the pandemic through multivocality, using Twitter data to analyze actors, topics, emotions and interaction patterns. The results show complex relationships among travellers, government, media, airlines and MMT, revealing who assigns blame and who takes it, and displaying dominant emotions like anger, fear, anticipation and trust. Initially, MMT used denial, minimization and scapegoating as crisis response strategies but later switched to corrective action and mortification. The study advances the understanding of crisis communication by considering multivocality and interaction patterns, and its results can help organizations, particularly OTAs, understand the importance of multivocal communication during a crisis and how to respond effectively to customer complaints and concerns.
Energizing Small and Medium‐sized Enterprises for environmental sustainability in poor Europe: Do green finance and bureaucratic quality matter?
Authors: Liu Sufang , Okere Kingsley Ikechukwu , Muoneke Obumneke Bob 
Published: December 2023

AbstractThe sacrosanct role played by small and medium‐sized enterprises (SMEs) in shaping economic realities in Europe resonates the accompanying impact of their activities on the environment. Furthermore, the unequal access to green finance across various sizes of small and medium enterprises alongside low level of bureaucratic quality in low‐income nations in Europe further complicates the attainment of climatic targets by 2050. The study investigates the SME‐environmental sustainability link amidst the moderating role of green finance and bureaucratic quality in selected low‐income nations in Europe. Findings show that SMEs increased carbon emissions across all quantiles in the selected countries. The results from the interaction towed double‐ends; interaction between SMEs and green finance reduced carbon emissions significantly from lower to upper quantiles. The interaction between SMEs and bureaucratic quality aggravates the level of carbon emission across all quantiles. Relevant policy recommendations were proffered to the sovereign governments and relevant EU agencies within the manuscript.
Data‐driven modeling to enhance municipal water demand estimates in response to dynamic climate conditions
Authors: Johnson Ryan C. , Burian Steven J. , Oroza Carlos A. , Hansen Carly , Baur Emily , Aziz Danyal , Hassan Daniyal , Kirkham Tracie , Stewart Jessie , Briefer Laura 
Published: December 2023

AbstractAltered precipitation and temperature patterns from a changing climate will affect supply, demand, and overall municipal water system operations throughout the arid western U.S. While supply forecasts leverage hydrological models to connect climate influences with surface water availability, demand forecasts typically estimate water use independent of climate and other externalities. Stemming from an increased focus on seasonal water demand management, we use the Salt Lake City, Utah municipal water system as a test bed to assess model accuracy versus complexity trade‐offs between simple climate‐independent econometric‐based models and complex climate‐sensitive data‐driven models to average to extreme wet and dry climate conditions—representative of a new climate normal. The climate‐independent model displayed low performance during extreme dry conditions with predictions exceeding 90% and 40% of the observed monthly and seasonal volumetric demands, respectively, which we attribute to insufficient model complexity. The climate‐sensitive models displayed greater accuracy in all conditions, with an ordinary least squares model demonstrating a measurable reduction in prediction bias (3.4% vs. −27.3%) and RMSE (74.0 lpcd vs. 294 lpcd) compared to the climate‐independent model. The climate‐sensitive workflow increased model accuracy and characterized climate‐demand interactions, demonstrating a novel tool to enhance water system management.
Maternal metabolic profiling across body mass index groups: An exploratory longitudinal study
Authors: Skytte Hege Nyhus , Roland Marie Cecilie Paasche , Christensen Jacob Juel , Holven Kirsten Bjørklund , Lekva Tove , Gunnes Nina , Michelsen Trond Melbye 
Published: December 2023

AbstractIntroductionIncreased BMI has been identified as a risk factor for most pregnancy complications, but the underlying metabolic factors mediating the detrimental effects of BMI are largely unknown. We aimed to compare metabolic profiles in overweight/obese women (body mass index [BMI] ≥ 25 kg/m2) and normal weight/underweight women (BMI < 25 kg/m2) across gestation. We also explored how gestational weight gain (GWG) affected maternal metabolic profiles.Material and methodsExploratory nested case–control study based on a prospective longitudinal cohort of women who were healthy prior to pregnancy and gave birth at Oslo University Hospital from 2002 to 2008. The sample consisted of 48 women who were overweight/obese and 59 normal‐weight/underweight women. Plasma samples from four time points in pregnancy (weeks 14–16, 22–24, 30–32 and 36–38) were analyzed by nuclear magnetic resonance spectroscopy and 91 metabolites were measured. Linear regression models were fitted for each of the metabolites at each time point.ResultsOverweight or obese women had higher levels of lipids in very‐low‐density lipoprotein (VLDL), total triglycerides, triglycerides in VLDL, total fatty acids, monounsaturated fatty acids, saturated fatty acids, leucine, valine, and total branched‐chain amino acids in pregnancy weeks 14–16 compared to underweight and normal‐weight women. Docosahexaenoic acid and degree of unsaturation were significantly lower in overweight/obese women in pregnancy weeks 36–38. In addition, overweight or obese women had higher particle concentration of XXL‐VLDL and glycoprotein acetyls (GlycA) at weeks 14–16 and 30–32. GWG did not seem to affect the metabolic profile, regardless of BMI group when BMI was treated as a dichotomous variable, ≥25 kg/m2 (yes/no).ConclusionsOverweight or obese women had smaller pregnancy‐related metabolic alterations than normal‐weight/underweight women. There was a trend toward higher triglyceride and VLDL particle concentration in overweight/obese women. As this was a hypothesis‐generating study, the similarities with late‐onset pre‐eclampsia warrant further investigation. The unfavorable development of fatty acid composition in overweight/obese women, with possible implication for the offspring, should also be studied further in the future.
The ASQ did not predict low IQ scores when children born VPT were six years
Authors: Borg Kristine , Hansen Bo Mølholm , Klamer Anja , Zachariassen Gitte 
Published: December 2023

AbstractAimThere is a need for methods that can provide valid assessment tools in a follow‐up programme without great financial costs. This study assessed the accuracy of the 60‐month Ages and Stages Questionnaire as a screening tool to predict a low intelligence quotient score at 6 years in children born very preterm.MethodsTotally, 54 children participated in a six‐year follow‐up study, which included an intelligence quotient test at 6 years of age and a 60‐month Ages and Stages Questionnaire at four and a half or 5 years of age at respond. We used the receiver operating characteristic curve and evaluated the optimal cut‐off score to predict a low intelligence quotient score.ResultsAt four and a half years, the optimal cut‐off value for predicting a low intelligence quotient score was 242, with a sensitivity of 67% and a specificity of 59%. At 5 years, only one child had a low intelligence quotient score, and the analysis was not performed.ConclusionOur results did not support the use of the 60‐month Ages and Stages Questionnaire as a valuable screening tool to predict a low intelligence quotient score in children born very preterm at 6 years of age.
Robotic pancreatic tumor enucleation by the double bipolar technique using the da Vinci SP system: An initial case report with a technical detail
Authors: Uchida Yuichiro , Takahara Takeshi , Nishimura Akihiro , Mii Satoshi , Mizumoto Takuya , Iwama Hideaki , Kojima Masayuki , Uyama Ichiro , Suda Koichi 
Published: December 2023

AbstractPancreatic tumor enucleation is a procedure that can preserve pancreatic function and is sometimes performed using a minimally invasive approach. Recently, a single‐port robotic platform called da Vinci SP has been developed. However, the technical details of pancreatic tumor enucleation using da Vinci SP have not been reported to date. We report a male patient in his 70s who underwent robotic SP pancreatic tumor enucleation for a pancreatic neuroendocrine tumor. The dissection between the tumor and pancreatic parenchyma was performed using the double bipolar technique. The operative time was 139 min, and the estimated blood loss was 4 mL. The patient had an uneventful recovery and was discharged on the sixth day after the surgery. Robotic SP pancreatic tumor enucleation appears to be a feasible procedure with lower invasiveness and better cosmesis.
A tribute to the late Dr. W. Michael Hoffman: Putting business ethics theory into practice
Authors: Schwartz Mark S. 
Published: December 2023

AbstractThis article is a tribute to the late Dr. W. Michael Hoffman's life and professional career (1943–2018), including his important contribution to the business ethics academic community, as well as to the practical world of business. Following a brief summary of Dr. Hoffman's professional achievements, several tributes are provided including from Professor Richard De George, columnist Gael O'Brien, and Professor Patricia Werhane. The tributes are followed by synopses of a small sample of Dr. Hoffman's many journal articles published in several different business ethics journals spanning 35 years (1982–2017). The tribute concludes with a personal note of gratitude by the author to Dr. Hoffman.