bluuebunny/crossref_metadata_2025_split huggingface dataset:
An approach for monitoring prefabricated building construction based on feature extraction and point cloud segmentation
Authors: Xu Zhao , Liang Yangze , Lu Hongyu , Kong Wenshuo , Wu Gang 
Published: August 2022

PurposeConstruction schedule delays and quality problems caused by construction errors are common in the field of prefabricated buildings. The effective monitoring of the construction project process is one of the key factors for the success of a project. How to effectively monitor the construction process of prefabricated building construction projects is an urgent problem to be solved. Aiming at the problems existing in the monitoring of the construction process of prefabricated buildings, this paper proposes a monitoring method based on the feature extraction of point cloud model.Design/methodology/approachThis paper uses Trimble X7 3D laser scanner to complete field data collection experiments. The point cloud data are preprocessed, and the prefabricated component segmentation and geometric feature measurement are completed based on the PCL platform. Aiming at the problem of noisy points and large amount of data in the original point cloud data, the preprocessing is completed through the steps of constructing topological relations, thinning, and denoising. According to the spatial position relationship and geometric characteristics of prefabricated frame structure, the segmentation algorithm flow is designed in this paper. By processing the point cloud data of single column and beam members, the quality of precast column and beam members is measured. The as-built model and as-designed model are compared to realize the visual monitoring of construction progress.FindingsThe experimental results show that the dimensional measurement accuracy of beam and column proposed in this paper is more than 95%. This method can effectively detect the quality of prefabricated components. In the aspect of progress monitoring, the visualization of real-time progress monitoring is realized.Originality/valueThis paper proposed a new monitoring method based on feature extraction of the point cloud model, combined with three-dimensional laser scanning technology. This method allows for accurate monitoring of the construction process, rapid detection of construction information, and timely detection of construction quality errors and progress delays. The treatment process based on point cloud data has strong applicability, and the real-time point cloud data transfer treatment can guarantee the timeliness of monitoring.
Modified Buongiorno’s model for biomagnetic hybrid nanoliquid past a permeable moving thin needle
Authors: Ramesh G.K. , Madhukesh J.K. , Aly Emad H. , Pop Ioan 
Published: August 2022

Purpose
The purpose of this paper is to study the steady biomagnetic hybrid nanofluid (HNF) of oxytactic microorganisms taking place over a thin needle with a magnetic field using the modified Buongiorno’s nanoliquid model.

Design/methodology/approach
On applying the appropriate similarity transformations, the governing partial differential equations were transformed into a set of ordinary differential equations. These equations have been then solved numerically using Runge–Kutta–Fehlberg method of fourth–fifth order programming in MAPLE software. Features of the velocity profiles, temperature distribution, reduced skin friction coefficient, reduced Nusselt number and microorganisms’ flux, for different values of the governing parameters were analyzed and discussed.

Findings
It was observed that as the needle thickness and solid volume fraction increase, the temperature rises, but the velocity field decreases. For a higher Peclet number, the motile microorganism curve increases, and for a higher Schmidt number, the concentration curve rises.

Originality/value
On applying the modified Buongiorno’s model, the present results are original and new for the study of HNF flow and heat transfer past a permeable thin needle.
Brain gain from Asia: educational and occupational selection of Asian migrants into the United States
Authors: Huang Xiaoning 
Published: August 2022

PurposeThis study investigates how working-age Asian immigrants' educational attainment and professional abilities when arriving in the United States have evolved over the past 4 decades and draws inferences on the impact of the US employment based visa policies.Design/methodology/approachUsing data from the 1980, 1990 and 2000 census and American Community Survey for 2001 to 2019, the study adopts multivariate regression and regression discontinuity design to investigate the trends in educational and occupation selection among Asian immigrants and the association with policy changes in the H1B visa program.FindingsThe findings suggest that new Asian immigrants were more positively selected for education than non-Asian immigrants and US natives and this pattern of positive selection increased over time. Newly arrived South Asian and East Asian immigrants had the highest share of highly educated professionals than Southeast Asians and US-born persons. I infer that the enactment and changes in the H1-B program might have contributed to the changing patterns of the educational and occupational selection among East and South Asian Immigrants. The results also shed light on how Asian immigrants' skill selection might be related to the size of Asian diasporas in the US and sending countries' income, inequality and education level.Originality/valueThe story of changing the skill profile (educational and occupational profile) of newly arrived Asian immigrants during 1980–2019 can provide valuable policy implications. US immigration policies are routinely criticized for being inefficient and outdated. The economic prosperity of Asian countries over time also provides an excellent opportunity to test the theories pertaining to how sending countries' income, inequality and education level of the population are associated with Asian migrants' education and occupation when arriving in the US. This study can provide insightful perspectives for policymakers and business decision-makers to adapt to the changing demographics of Asian migrant workers. The most recent reports on Asian immigrants in the US highlighted the aggregated trends of migration flow and education. Still, none have provided a longitudinal and nuanced review of Asian immigrants' educational and occupational selection into the US.
Can exchange rate policies and trade partners' income enhance the trade balance in Algeria? Evidence from the nonlinear ARDL model
Authors: Alsamara Mouyad , Mimouni Karim , Barkat Karim , Kayaly Diana 
Published: August 2022

PurposeThis paper aims to examine the effects of the real exchange rate on trade balance in Algeria and investigates whether it represents a viable tool to sustain and improve trade performance using the nonlinear autoregressive distributed lag (NARDL) estimation technique and data from Algeria over the period 1980–2018. This study also highlights the role of trading partners with large income endowments in enhancing the trade balance.Design/methodology/approachThe NARDL model is used to unveil potential short and long run nonlinear responses of the trade balance to shocks in real exchange rates and detect whether these responses are different in terms of sign and magnitude. The paper also provides a dynamic multiplier analysis that tests the existence of a J-Curve pattern in Algeria with several policy recommendations.FindingsThe findings confirm the existence of a J-curve pattern in Algeria where domestic currency depreciation will worsen the trade balance in the short run and improve it in the long run. The authors also find that the asymmetrical effect of real exchange rate on trade balance is different in sign and magnitude. Finally, the results indicate that an increase in trade partners' income increases the trade balance in Algeria. The findings are of utmost importance with several policy implications.Originality/valueWhile some works investigated the nonlinear response of trade balance to real exchange rate movements, their results remain inconclusive and seem to depend on the characteristics of the country/region of study. Moreover, the role of trade partners and their potential impact on trade balance has been relatively overlooked in the literature. The authors fill this gap by examining the asymmetric impacts of real exchange rate and the effect of trade partners' income on trade balance in Algeria.
The impact of academicians' cultural and social capital on their individual job performance
Authors: Çiftçi S. Koza , Karadag Engin 
Published: August 2022

PurposeThe aim of this study is to analyze whether or not the interaction between academicians' cultural and social capitals has effects on their individual work performance.Design/methodology/approachA structural model was developed in the study to test the correlations between cultural capital, social capital and individual work performance. The data of the study were collected from 2,855 academicians.FindingsThe findings of the study indicate that both cultural and social capital has a simultaneous positive effect on individual work performance. It is also found that the cultural and social capital can account for 39% of the individual work performance and that social capital is a dominant driving force.Research limitations/implicationsAlthough the cultural and social capital has significant effects on the individual work performance, these effects are not of casual nature.Practical implicationsTherefore, it is possible to argue that the cultural and social capital in higher education institutions should be encouraged. Future studies may employ samples of individuals to see whether not these effects have causal characteristics.Originality/valueThe findings of the study contributed to the existing knowledge on the work performance describing the new correlations among the patterns.
Elastohydrodynamic ultrathin film formation at the start-up of motion under the combined effect of surface force and hydrodynamic action
Authors: Abd Alsamieh Mohamed 
Published: August 2022

Purpose
The purpose of this study is to investigate the behavior of ultra-thin film formation at the start-up of motion for different acceleration rates and final entrainment speed, including the effect of intermolecular forces; solvation and Van der Waals’ in addition to hydrodynamic action for the elastohydrodynamic lubrication of point contact problems.

Design/methodology/approach
The equation of motion of the ball is considered to account for the applied force on the ball during the start-up of motion. The Newton–Raphson with Gauss–Seidel iterative method is used to solve the Reynolds, film thickness and load balance equations simultaneously. In addition to hydrodynamic effects, solvation and Van der Waals’ forces are taken into account in the calculation of bearing capacity.

Findings
The simulation results showed that the effects of acceleration rate are important for ultra-thin film formation at the start-up of motion. Increasing the rate of acceleration results in a higher value of central film thickness during the start-up of motion than the corresponding steady-state film thickness value reached at the final entrainment speed. The effects of intermolecular forces are important to prevent metal-to-metal contact during the inactive period of motion, where a constant value of film thickness is achieved regardless of the value of the acceleration rate or final entrainment speed.

Originality/value
The behavior of ultra-thin film formation at start-up of motion, including the effect of intermolecular forces; solvation and Van-der-Waals’ along with hydrodynamic action, are evaluated after different acceleration rates and final entrainment speeds.
Learning in a hybrid world: new methods for a new workplace
Authors: Rigolizzo Michele 
Published: August 2022

Purpose
Organizations face a paradox. Because of the disruptions of COVID-19, learning and development was largely put on hold. However, this disruption also changed the value proposition for employees: they expect learning and development to be prioritized. The purpose of this paper is to resolve this paradox by providing a strategic framework that increases the capacity for workplace learning within the constraints of a hybrid world.

Design/methodology/approach
Although the COVID-19 disrupted shifted when and where employees learn, it did not change how learning occurs. Therefore, this paper draws from research on workplace learning, cognitive science and neuroscience to develop a conceptual framework of workplace learning and provide practical guidance on how leaders can support it in a hybrid world.

Findings
This paper presents a new framework for workplace learning. First, this paper identifies seven key workplace learning behaviors. This paper addresses why a focus on behavior over outcomes is strategically advantageous for hybrid learning. Second, this paper details the opportunities, resources and leadership behaviors that enable each behavior.

Research limitations/implications
This paper provides scholars with a new approach to learning and opens avenues for research on the antecedents of workplace learning behaviors, as well as understanding how the behaviors interact over time.

Practical implications
This paper helps executives make strategic decisions about hybrid learning based on the science of learning. This paper also provides key tactics for how to encourage and enable employees to learn in remote or hybrid environments.

Originality/value
Although there is an abundance of research on individual, team and organizational learning, there is little guidance on what strategies leaders can use to enable learning in the moment, when it is needed most. This paper reorients learning strategy away from learning outcomes to focus on the behaviors that are required to achieve those outcomes. In doing so, this paper provides a model for learning how to learn in a hybrid world.
Evaluating the opportunities, challenges and risks of applying the blockchain technology in tourism: a Delphi study approach
Authors: Dadkhah Mehdi , Rahimnia Fariborz , Filimonau Viachaslau 
Published: August 2022

Purpose
The purpose of this study is to empirically evaluate the potential of the blockchain technology in tourism. The blockchain technology (BCT) holds potential to contribute significantly to tourism policy and practice. Academic interest in the BCT is rapidly growing with studies looking at the opportunities and challenges of its application. The shortcoming of research on the BCT in tourism has however been in its conceptual nature. The lack of empirical investigations hinders an understanding of how the BCT can be more broadly adopted in tourism, especially from the viewpoint of minimizing its risks.

Design/methodology/approach
The initial screening of the opportunities, challenges and risks is undertaken via a systematic literature review. The Delphi study is subsequently applied to empirically confirm what opportunities, challenges and risks can be attributed to the BCT use in tourism. Twelve industry and academic experts have contributed to the Delphi study.

Findings
The risks identified have been categorized as societal, technical, financial and legal. Propositions have been made on how these risks can, at least partially, be overcome.

Originality/value
To the best of the authors’ knowledge, it is the first known attempt to study the BCT from the perspective of academic and industry experts. This research is also one of the first to evaluate the risks of the BCT use in tourism. Most risks are identified as not critical and can be addressed as the BCT develops.
What you see is what you get: assessing in-game advertising effectiveness
Authors: Hussain Mawra , Islam Talat , Rehman Saif Ur 
Published: August 2022

PurposeThis study focused on nonconventional marketing (in-game advertisement interactivity) to understand consumers' purchase intentions. Specifically, this study aims to explore the intervening role of feelings of presence between in-game advertisement interactivity and consumer purchase intention. It further explores whether game–product congruence moderates the relationship between feelings of presence in the game and consumer purchase intention.Design/methodology/approachThis study collected data from 386 PUBG mobile players on a convenience basis. The selected players were ensured to have experience in playing mission ignition mode (a Tesla-themed mode of PUBG mobile).FindingsThe study noted that in-game advertisement interactivity positively affects consumer purchase intention, and this relationship is further explained through feelings of presence. In addition, game–product congruence was noted to strengthen the association between feelings of presence and consumer purchase intention.Research limitations/implicationsThe study used a cross-section design to collect data from players of PUBG through Google Forms on a convenient basis. The study highlights the significance of nontraditional advertisement and game–product congruence that helps businesses to attract customers.Originality/valueDrawing upon transportation theory, this study is the first of its kind that has explored the mediating role of feelings of presence between in-game advertising interactivity and consumer purchase intention. In addition, this study shed light on the importance of game–product congruence to strengthen purchase intention.
How to prompt training effectiveness? An investigation on achievement goal setting intervention in workplace learning
Authors: Jiang Yan , Lin Weihan , Huang Xiaoshan , Duan Lian , Wu Yihua , Jiang Panpan , Wang Xingheng 
Published: August 2022

Purpose
The purpose of this study is to propose and examine an integrated learning model for improving training effectiveness in workplace learning. Specifically, this study investigated the effect of achievement goal-setting intervention across three groups of new employees from a multinational medical company. During a three-day remote training program, the role of each achievement goal orientation (AGO) in goal setting intervention and their relations with trainees’ applied learning strategies were examined. This study proposed and validated an integrated training model for improving remote workplace learning effectiveness.

Design/methodology/approach
This study was based on two data sources, the pre- and posttests scores; time on task (deep learning: completing reflective practice) and time on content learning (surface learning: watching tutorials) retrieved from an adaptive learning platform. A total number of 133 participants were recruited in this study, and they were randomly assigned to three interventional groups. The intervention was grounded from the AGO theory and goal setting theory. A series of statistical analysis were conducted to examine the effect of each type of achievement goal setting as a prompt for new employees’ learning behavior and performance.

Findings
Results indicated that setting mastery goal at the beginning of the training program leads to productive learning outcomes. Compared with the groups being required to set performance goal (final rank) or not to set any goal for the training purpose, trainees’ who were assigned to set a mastery goal (final performance score) performed statistically significantly higher than the other groups. Additionally, learners who set mastery goal spent higher proportion of time on deep learning than learners from the other groups. The results proved mastery goal setting as an effective prompt for boosting workplace learning effectiveness.

Practical implications
Organizations and institutions can take setting mastery approach goals as a prompt at the beginning of the training to increase learning effectiveness. In this way, trainees are promoted to apply more deep learning strategies and achieve better learning outcomes while setting mastery goal for their training purpose.

Originality/value
To the best of the authors’ knowledge, this study was the first to combine the intervention of goal setting and types of AGOs into workplace learning. This study adds to previous research on goal setting theory and AGO theory for the practical application and proposes an effective model for learners’ adaptive remote learning. Findings of this study can be used to provide educational psychological insights for training and learning in both industrial and academic settings.
Mediating effect of productivity between sustainable supply chain management practices and competitive advantage: evidence from apparel manufacturing in Bangladesh
Authors: Razzak Mohammad Rezaur 
Published: August 2022

PurposeDrawing on the combined theoretical perspectives offered by the sustainable supply chain management (SSCM) practices view and the resource-based view (RBV), this study aims to examine whether pursuit of environmental, social and economic sustainability measures of SSCM practices drive competitive advantage (CA) among fashion-apparel manufacturing organizations in an emerging economy. Furthermore, the study investigates whether the above relationships are mediated by productivity.Design/methodology/approachBased on a theoretically supported conceptual framework, a set of hypotheses are tested by applying partial least squares structural equation modeling on a sample of 345 export-oriented fashion-apparel manufacturing companies in Bangladesh. SmartPLS (v.3.2) is applied to analyze the path model through bootstrapping procedure.FindingsThe findings suggest that the direct relationship between social sustainability dimension of SSCM practices along and CA is positive and significant. While the direct relationships between environmental sustainability and CA, and economic sustainability and CA, were found to be non-significant. However, when productivity was applied as a mediator, all the paths were significant.Research limitations/implicationsThe study contributes to the strategic management literature by presenting a combined theoretical perspective proposing the idea that sustainable supply chain practices can influence both productivity and CA, where productivity is a pertinent mediator.Practical implicationsThe study presents evidence for ready-made garments manufacturers in emerging economies on how compliance with environmental, social and economic sustainability measures in the supply chain of apparel manufacturers leads to gains in CA for the firms. Additionally, the study shows that such measures must also have a net positive impact on productivity to be able to influence CA significantly.Originality/valueThis paper appears to be among the first study that presents a framework based on a combined view of SSCM practices and RBV to empirically investigate the role of productivity as a mediator in the relationships between the sustainability dimensions of SSCM practices and CA in apparel manufacturing.