bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perceived change uncertainty and behavioral change support: the role of positive change orientation
Authors: Katsaros Kleanthis Konstantinos , Tsirikas Athanasios N. 
Published: February 2022

PurposeDrawing from uncertainty reduction theory and uncertainty management theory, the aim of the research is to investigate the influence of positive change orientation (i.e. change self-efficacy, positive attitudes toward change, perceived control) on the perceived change uncertainty and behavioral change support (i.e. compliance, cooperation and championing) relationship.Design/methodology/approachThe paper hypothesizes that employees' positive change orientation partially mediates the relationship between perceived change uncertainty and behavioral change support. The research data were collected from employees and their supervisors in three sequential phases. The research model was tested with the use of Structural Equation Modeling.FindingsThe research findings suggest that employees' change self-efficacy and attitudes toward change partially mediates the negative relationship between perceived change uncertainty and behavioral change support.Practical implicationsThe results support that change management practitioners will benefit significantly if they manage to influence their employees' positive change orientation as well as to decrease the perceived uncertainty to provoke change supportive behaviors. Relevant suggestions are made.Originality/valueThe originality of this study lies in the finding that employees' change self-efficacy as well as their attitudes toward change partially mediates the relationship between perceived change uncertainty and behavioral change support. Further, the research findings add to the uncertainty reduction theory and uncertainty management theory as well as other related notions.
Examining 50 years of social marketing through a bibliometric and science mapping analysis
Authors: Salgado Sequeiros Jessica , Molina-Collado Arturo , Gómez-Rico Mar , Basil Debra 
Published: February 2022

Purpose
Through a bibliometric analysis and scientific mapping, this study aims to examine research in the field of social marketing over the past 50 years and to propose a future research agenda.

Design/methodology/approach
A bibliometric analysis based on keyword co-occurrences is used to analyze 1,492 social marketing articles published from 1971 to 2020. The articles were extracted from the Web of Science and Scopus databases. SciMAT software was used, which provides a strategic diagram of topics, clusters, networks and relationships, allowing for the identification and assessment of relational connections among social marketing topics.

Findings
The results show that advertising, fear and children were some of the driving themes of social marketing over the past 50 years. In addition, the analysis identifies four promising areas for future research: consumption, intervention, strategy and analytical perspectives.

Research limitations/implications
This analysis can serve as a reference guide for future research in the field of social marketing. This study focused on quantitative analysis. An in-depth qualitative analysis would be a valuable future extension.

Originality/value
This research offers a unique systematic analysis of the progression of social marketing scholarship and provides a guide for future research related to social marketing. Importantly, this work suggests crucial issues that have not yet been sufficiently developed.
Integration of UTAUT model in Thailand cashless payment system adoption: the mediating role of perceived risk and trust
Authors: Namahoot Kanokkarn Snae , Jantasri Viphasiri 
Published: February 2022

Purpose
The purpose of this paper is to propose a model that examines the relationships among the five dimensions of the unified theory of acceptance and use of technology (UTAUT) toward the overall behavioral intentions (BIs); to use cashless payment systems in Thailand, which are practically based on the basic models and theories of consumer behavior such as the theory of reasoned action (TRA), theory of planned behavior (TPB) and technology acceptance model (TAM); and to explain the indirect effects between UTAUT and BIs to use cashless payment systems mediating by perceived risk and trust.

Design/methodology/approach
A total of 708 respondents, who have had an experience with a cashless payment system in Thailand, were selected using a stage sampling method. The data obtained from the participants were analyzed using a structural equation modelling approach.

Findings
The results of this paper reveal that UTAUT model, perceived risk and trust have all significant influences on BIs to use a cashless payment system. This suggests that consumers in Thailand adopt to specific financial technological innovation if they perceive that the risk is low and they can trust the system, especially if it is associated with a reliable online banking network.

Originality/value
The basic understanding of the UTAUT model that influences BIs to use cashless payment systems has been the focus of this current paper. This paper empirically examined the overall direct and indirect influences of UTAUT model and perceived risk, trust and BI to use. This current paper also expands the UTAUT theory by exploring several dimensions (i.e. performance expectancy, effort expectancy and social influence). Research findings reveal that effort expectancy can reduce perceived risk and increase trust in Thailand's cashless payment systems. This can generate more customer interest and engagement, as well as provide insights into customers' intentions in using a cashless payment system.
Why online consumers have the urge to buy impulsively: roles of serendipity, trust and flow experience
Authors: Bao Zheshi , Yang Jing 
Published: February 2022

PurposeThis study aims to investigate some determinants of impulse buying in online shopping and then indicate the underlying mechanism regarding why consumers have the urge to buy impulsively.Design/methodology/approachA total of 315 valid data were collected from consumers who had online shopping experience through an online survey. These data were then analyzed by structural equation modeling (SEM) to test the hypotheses and proposed model.FindingsThe results illustrate that consumers' serendipity, trust and flow experience facilitate impulse buying. Some inner relationships among the three factors have also been illustrated. Finally, antecedents of trust and flow experience were examined from a perspective of perceived information value.Originality/valueThis research provides new insights into existing literature on impulse buying in online shopping by developing a well-organized framework, which emphasizes the role of serendipity in motivating the urge to buy impulsively. Besides, it also extends the understanding of flow experience and trust in the process of online impulse buying.
The impact of international work experience, functional background and career concerns on CEO investment decisions
Authors: Peng Chih-Wei , Chiu She-Chih 
Published: February 2022

PurposeThe purpose of this paper is to investigate the effects of chief executive officer (CEO) international work experience, functional background and career concerns on managerially-distorted investment decisions.Design/methodology/approachThis paper focuses on S&P 500 publicly held US manufacturing companies during the period from 2009 to 2012. The data related to the CEOs’ international experience and their functional background experience are manually collected from Business Week’s Corporate Elite. Financial data is retrieved from COMPUSTAT database. The data for CEO tenure and age are retrieved from the ExecuComp database. Besides ordinary least squares regression, this paper conducts two-stage least squares regression analysis. Endogeneity and additional tests are also considered in this paper.FindingsThe findings show that CEO international work experience may not reduce under-investment, but it may exacerbate over-investment. CEO throughput functional background may exacerbate under-investment, but it may not reduce over-investment. Furthermore, CEO career concerns are useful in reducing the inefficient investments caused by international work experience and throughput functional background. These results remain similar when potential self-selection bias, as well as alternative measures of career concerns and investment efficiency, are considered.Originality/valueThis paper contributes to the existing literature in the following ways: first, while a significant amount of attention has been paid to how investment decisions are affected by financial reporting quality and material internal control weaknesses, there has been little evidence accumulated related to how managers’ international experience, professional background and career concerns affect investment inefficiency. The authors attempt to fill this gap. Second, the authors manually collect the international experience and functional backgrounds of CEOs working for S&P 500 US manufacturing companies. This unique data set makes it possible to complement previous studies by investigating the effects of managerial international experience and functional background on investment behavior. Finally, previous theoretical studies have long recognized that managers’ career concerns affect their corporate investment decisions. These studies suggest that young CEOs have a greater incentive to signal their abilities by adopting more active and possibly riskier investment strategies, thus raising the moral hazard problem with regard to firm investments. The authors enrich these studies by showing that work experience alleviates the moral hazard problem with respect to young CEOs’ investment decisions.
A case study on implementing Lean Six Sigma: DMAIC methodology in aluminum profiles extrusion process
Authors: Araman Hassan , Saleh Yahya 
Published: February 2022

PurposeThis paper aims to investigate the sources of variation in aluminum profiles hot extrusion process for the purpose of process capability improvement at National Aluminum and Profiles Company (NAPCO) in Palestine. The critical-to-quality characteristics (CTQ) have been determined as base variables to measure the process capability.Design/methodology/approachThe DMAIC (Define, Measure, Analyze, Improve, and Control) Lean Six Sigma (LSS) approach has been adopted to conduct this study. More specifically, historical data analysis and PARETO charts have been employed. The defects' root causes have been determined using the cause-and-effect diagram and decision matrix. A course of suggested actions has been established to help in improving extrusion process capability. Minitab-18 software was used for conducting inferential statistical analysis. A case study considering a geometry CTQ of D3 dimension of bottom sash aluminum profiles 4,332 was selected for analysis.FindingsThe results indicated a reduction in DPMO from 89,649 to 15,659, sigma level was improved from 2.84 to 3.65, process yield was improved from 91.04% to 98.43% and cost was reduced from U$75,972 to U$13,250.9 (i.e. a saving of U$62,721). Studying and improving the sigma level of the extrusion process would yield fewer defective products and consequently fewer customer complaints. A validation process which has been conducted during the year 2019 showed a consistent improvement that aligns with the first stage of improvement made on October 1, 2018.Research limitations/implicationsThis study focuses on only one critical quality characteristic (CTQ), namely, a geometry CTQ of D3 dimension of bottom sash aluminum profiles 4,332 produced by NAPCO was selected for analysis.Practical implicationsThis study would be useful for researchers and practitioners to improve the process capability in aluminum profiles manufacturing industries in general and hot extrusion processes in particular.Originality/valueMany previous studies on applying LSS-DMAIC methodology have been conducted in aluminum industries in developed countries. According to the literature, it is highly recommended to have more case studies of applying LSS-DMAIC in different industries in developing countries. NAPCO is the only aluminum manufacturing plant in Palestine that hotly extrudes and coats aluminum profiles. Hence, the present study is the first of its kind in NAPCO and in Palestine. Projecting the assessment of the impact of process improvement opportunities and capability analyses into monetary measures are also innovative.
Dynamics modeling of a 2-DoFs cable-driven continuum robot
Authors: Bousbia Leila , Amouri Ammar , Cherfia Abdelhakim 
Published: February 2022

Purpose
Continuum robots modeling, be it from a hard or soft class, is giving rise to several challenges compared with rigid robots. These challenges are mainly due to kinematic redundancy, dynamic nonlinearity and high flexibility. This paper aims initially at designing a hard class of continuum robots, namely, cable-driven continuum robot (CDCR) and equally at developing their kinematic and dynamic models.

Design/methodology/approach
First, the CDCR prototype is constructed, and its description is made. Second, kinematic models are established based on the constant curvature assumption and inextensible bending section. Third, by using the Lagrange method, the dynamic model is derived under some simplifications and based on the kinematic equations, in which the flexible backbone’s elasticity modulus was identified experimentally. Finally, the static model of the CDCR is also derived based on the dynamic model.

Findings
Numerical examples are carried out using Matlab software to verify the static and dynamic models. Moreover, the static model is validated by comparing the simulation’s results to the real measurements that have been provided with satisfactory results.

Originality/value
To reduce the complexity of the dynamic model’s expressions and avoid the numerical singularity when the bending angle is close to zero, some simplifications have been taken, especially for the kinetic energy terms, by using the nonlinear functions approximation. Hence, the main advantage of this analytical-approximate solution is that it can be applied in the bending angle that ranges up to 2p with reasonable errors, unlike the previously proposed techniques. Furthermore, the resulting dynamic model has, to some extent, the proprieties of simplicity, accuracy and fast computation time. Ultimately, the obtained results from the simulations and real measurements demonstrate that the considered CDCR’s static and dynamic models are feasible.
The pandemic and the question of national belonging: Exposure to covid‐19 threat and conceptions of nationhood
Authors: WAMSLER STEFFEN , FREITAG MARKUS , ERHARDT JULIAN , FILSINGER MAXIMILIAN 
Published: February 2022

AbstractDrawing on the behavioural immune system hypothesis, we argue that the prevalence of the Covid‐19 pandemic threat in an individual's respective environment relates to exclusive, ethnic conceptions of nationhood. Referring to the affective intelligence theory, we maintain that specific negative emotions are prompted by the perception of being exposed to a pandemic threat, and these emotional states in turn structure political preferences regarding national belonging. Using an original survey in six European countries during the first peak of the pandemic in late April and early May 2020, we analyze both the impact of individual Covid‐19 experiences and the contextual exposure to a pandemic threat through hierarchical analyses of 105 European regions. Our empirical analysis shows that exposure to the pandemic is linked to stronger ethnic national identities for both levels of analysis. We also find that anger substantially mediates this relationship and has primacy over feelings of fear. Taken together, our results indicate that the behavioural immune system appears as a pervasive obstacle to inclusive orientations.
Difference‐in‐differences for categorical outcomes
Authors: Graves John A. , Fry Carrie , McWilliams J. Michael , Hatfield Laura A. 
Published: February 2022

AbstractObjectiveTo discuss and develop difference‐in‐difference estimators for categorical outcomes and apply them to estimate the effect of the Affordable Care Act's Medicaid expansion on insurance coverage.Data SourcesSecondary analysis of Survey on Income and Program Participation (SIPP) data on health insurance coverage types before (January 2013) and after (December 2015) Medicaid expansion in 39 US states (19 expansion and 20 non‐expansion).Study DesignWe develop difference‐in‐difference methods for repeated measures (panel data) of categorical outcomes. We discuss scale‐dependence of DID assumptions for marginal and transition effect estimates and specify a new target estimand: the difference between outcome category transitions under treatment versus no treatment. We establish causal assumptions about transitions that are sufficient to identify this and a marginal target estimand. We contrast the marginal estimands identified by the transition approach versus an additive assumption only about marginal evolution. We apply both the marginal and transition approaches to estimate the effects of Medicaid expansion on health insurance coverage types (employer‐sponsored; other private, non‐group; public; and uninsured).Data ExtractionWe analyzed 16,027 individual survey responses from people aged 18–62 years in the 2014 SIPP panel.Principal FindingsWe show that the two identifying assumptions are equivalent (on the scale of the marginals) if either the baseline marginal distributions are identical or the marginals are constant in both groups. Applying our transitions approach to the SIPP data, we estimate a differential increase in transitions from uninsured to public coverage and differential decreases in transitions from uninsured to private, non‐group coverage and in remaining uninsured.ConclusionsBy comparing the assumption that marginals are evolving in parallel to an assumption about transitions across outcome values, we illustrate the scale‐dependence of difference‐in‐differences. Our application shows that studying transitions can illuminate nuances obscured by changes in the marginals.
Lung cancer risk prediction models based on pulmonary nodules: A systematic review
Authors: Wu Zheng , Wang Fei , Cao Wei , Qin Chao , Dong Xuesi , Yang Zhuoyu , Zheng Yadi , Luo Zilin , Zhao Liang , Yu Yiwen , Xu Yongjie , Li Jiang , Tang Wei , Shen Sipeng , Wu Ning , Tan Fengwei , Li Ni , He Jie 
Published: February 2022

AbstractBackgroundScreening with low‐dose computed tomography (LDCT) is an efficient way to detect lung cancer at an earlier stage, but has a high false‐positive rate. Several pulmonary nodules risk prediction models were developed to solve the problem. This systematic review aimed to compare the quality and accuracy of these models.MethodsThe keywords “lung cancer,” “lung neoplasms,” “lung tumor,” “risk,” “lung carcinoma” “risk,” “predict,” “assessment,” and “nodule” were used to identify relevant articles published before February 2021. All studies with multivariate risk models developed and validated on human LDCT data were included. Informal publications or studies with incomplete procedures were excluded. Information was extracted from each publication and assessed.ResultsA total of 41 articles and 43 models were included. External validation was performed for 23.2% (10/43) models. Deep learning algorithms were applied in 62.8% (27/43) models; 60.0% (15/25) deep learning based researches compared their algorithms with traditional methods, and received better discrimination. Models based on Asian and Chinese populations were usually built on single‐center or small sample retrospective studies, and the majority of the Asian models (12/15, 80.0%) were not validated using external datasets.ConclusionThe existing models showed good discrimination for identifying high‐risk pulmonary nodules, but lacked external validation. Deep learning algorithms are increasingly being used with good performance. More researches are required to improve the quality of deep learning models, particularly for the Asian population.
The use of weighted averages of Hedges' d in meta‐analysis: Is it worth it?
Authors: Buck Robert J. , Fieberg John , Larkin Daniel J. 
Published: February 2022

Abstract

Hedges' d is a measure of effect size widely used to standardize results across different studies in ecological and evolutionary meta‐analyses. When summarizing Hedges' d or other effect sizes across multiple studies, it is considered a best practice to use weighted averages, with weights inversely proportional to the variances of the estimated effect sizes.

Importantly, the within‐study variance of Hedges' , , is a function of sample size, , and , the effect size itself. Since true effect sizes are unknown, is also unknown and needs to be estimated, for which numerous approaches have been proposed.

We examined the behaviour of inverse‐variance weights, specifically the performance of 14 different weighted and unweighted variants of the Hedges' estimator, to test the conditions under which weighting improved performance. We found that when sample sizes (per group) were >10, there was little difference between the estimators and weighting did not notably improve performance; bias was <5% and differences in root mean squared error were <10% for all estimators, except when the between‐study variance for effect size, , was relatively small compared to the within‐study variance (). We also propose a new estimator that was found to be (a) the most efficient of a subset of minimally biased estimators and (b) had the least bias when estimating τ2.

Contrary to current guidance, we contend that the simpler unweighted Hedges' d estimator is generally acceptable. Exceptions are when the between‐study variance is small relative to within‐study variance () and there is a large disparity (>3X) in sample sizes for a large proportion of effect sizes in the meta‐analysis. Using unweighted averages may enable more robust inferences by allowing studies for which variance cannot be extracted (a common practical limitation) to be included. That said, weighted averaging is necessary where estimation of is itself of interest.