bluuebunny/crossref_metadata_2025_split huggingface dataset:
What makes a self-deprecating advertisement more persuasive? The role of self-uncertainty
Authors: Liu Cong , Gao Jiahui 
Published: July 2023

PurposeThe purpose of this paper is to examine the interesting but largely unexamined impact of self-uncertainty on the persuasiveness of self-deprecating advertisement.Design/methodology/approachIn the present research, the experimental design and survey methods are used to collect data. Furthermore, the ANOVA and bootstrap analysis methods are adopted to verify whether a self-deprecating advertisement is more persuasive for consumers experiencing self-uncertainty and explore the mediating role of self-verification.FindingsStudy 1 indicates that people experiencing self-uncertainty are more likely to engage in actual self-verification. Study 2 demonstrates that consumers experiencing self-uncertainty are more likely to purchase products in a self-deprecating advertisement (vs. self-enhancing advertisement), and actual self-verification motive underlies this effect. In Study 3, a novel boundary condition for the main effect–product type (hedonic vs. utilitarian) is found, and it further reveals that the impact of self-uncertainty on the persuasiveness of self-deprecating advertisement will attenuate when the advertised product is utilitarian.Practical implicationsThis research reveals that self-deprecating advertising is more desirable for consumers who experience self-uncertainty. Based on the conclusions in this paper, the self-deprecating advertising is more attractive and desirable for consumers who are reminded about their personal uncertainties. Thus, marketers could employ self-deprecating (vs. self-enhancing) advertisement to promote products. For example, in order to promote the waterproof function of iPhone 12, Apple China released a self-deprecating advertisement of “Splash proof and water resistant. Don't worry, iPhone.”Originality/valueFirst, this research not only sheds new light on the relationship between self-uncertainty and the persuasiveness of self-deprecating advertisement but also verifies the mediating role of self-verification motive in this relationship. Moreover, this research reveals that self-uncertainty is a significant factor in how people react to the self-deprecating advertisement. It is noteworthy that the self-uncertainty effect is more likely to be found when the advertised product is related to hedonic or experiential consumption as opposed to utilitarian consumption.
Material recognition for construction quality monitoring using deep learning methods
Authors: Mahamivanan Hadi , Ghassemi Navid , Tayarani Darbandy Mohammad , Shoeibi Afshin , Hussain Sadiq , Nasirzadeh Farnad , Alizadehsani Roohallah , Nahavandi Darius , Khosravi Abbas , Nahavandi Saeid 
Published: July 2023

Purpose
This paper aims to propose a new deep learning technique to detect the type of material to improve automated construction quality monitoring.

Design/methodology/approach
A new data augmentation approach that has improved the model robustness against different illumination conditions and overfitting is proposed. This study uses data augmentation at test time and adds outlier samples to training set to prevent over-fitted network training. For data augmentation at test time, five segments are extracted from each sample image and fed to the network. For these images, the network outputting average values is used as the final prediction. Then, the proposed approach is evaluated on multiple deep networks used as material classifiers. The fully connected layers are removed from the end of the networks, and only convolutional layers are retained.

Findings
The proposed method is evaluated on recognizing 11 types of building materials which include 1,231 images taken from several construction sites. Each image resolution is 4,000 × 3,000. The images are captured with different illumination and camera positions. Different illumination conditions lead to trained networks that are more robust against various environmental conditions. Using VGG16 model, an accuracy of 97.35% is achieved outperforming existing approaches.

Practical implications
It is believed that the proposed method presents a new and robust tool for detecting and classifying different material types. The automated detection of material will aid to monitor the quality and see whether the right type of material has been used in the project based on contract specifications. In addition, the proposed model can be used as a guideline for performing quality control (QC) in construction projects based on project quality plan. It can also be used as an input for automated progress monitoring because the material type detection will provide a critical input for object detection.

Originality/value
Several studies have been conducted to perform quality management, but there are some issues that need to be addressed. In most previous studies, a very limited number of material types were examined. In addition, although some studies have reported high accuracy to detect material types (Bunrit et al., 2020), their accuracy is dramatically reduced when they are used to detect materials with similar texture and color. In this research, the authors propose a new method to solve the mentioned shortcomings.
Improving the accuracy for amplitude and frequency of analytical equation of single-ended ring oscillators based on circuit and transistor parameters
Authors: Moradnezhad Mehrdad , Miar Naimi Hossein 
Published: July 2023

PurposeThis paper aims to find a closed-form expression for the frequency and amplitude of single-ended ring oscillators when transistors experience all regions.Design/methodology/approachIn this paper, the analytical relationships presented for ring oscillator amplitude and frequency are approximately derived due to the nonlinear nature of this oscillator, taking into account the differential equation that governs the ring oscillator and its output waveform.FindingsIn the case where the transistors experience the cut-off region, the relationships presented so far have no connection between the frequency and the dimensions of the transistor, which is not valid in practice. The relationship is presented for the frequency, including the dimensions of the transistor. Also, a simple and approximately accurate relationship for the oscillator amplitude is provided in this case.Originality/valueThe validity of these relationships has been investigated by analyzing and simulating a single-ended oscillator in 0.18 µm technology.
Green transformational leadership and green innovation in megaprojects: is green knowledge sharing a missing link?
Authors: Chen Xiaoyan , Chen Yajiao , Zhang Xinyue , He Qinghua 
Published: July 2023

PurposeGreen innovation (GI) in megaprojects has become a significant research topic that attracts both megaproject management scholars' and practitioners' attention. Green transformational leadership (GTL) is acknowledged as an important antecedent to GI in the permanent context. However, limited research investigates the mechanism and condition of how GTL effectively affects GI in the temporary (i.e. megaproject) context. This study seeks to examine the mechanism and condition of GTL in improving GI by assessing the mediating role of green knowledge sharing (GKS) and the moderating effect of innovation climate (IC).Design/methodology/approachRegression analysis was performed on data obtained from 303 experts who have been involved in megaprojects.FindingsGTL has a significant positive impact on two aspects of GI, including green product innovation (GPDI) and green process innovation (GPCI). Besides, GKS mediates the relationship between GTL and the two aspects of GI. Moreover, IC plays a significantly positive moderating role in the relationship between GTL and GKS and the relationship between GKS and the two aspects of GI.Originality/valueThis study adds knowledge to the theory and practice by unveiling the “black box” between GTL and GI in the temporary (i.e. megaproject) context. First, this study extends the continuing discussion on the direct effect of GTL on GI to the temporary (i.e. megaproject) context. Second, this study facilitates the understanding of the mechanism to generate better GI performance considering the mediating role of GKS and the moderating effect of IC in the temporary (i.e. megaproject) context. The results can illuminate megaproject practitioners on generating better GI performance.
Evaluation of rural tourism development level based on entropy-weighted grey correlation analysis: the case of Jiangxi Province
Authors: Yan Xiaoyan , Luo Min , Zhong Changbiao 
Published: July 2023

PurposeThe purpose of this paper is to establish a more reasonable evaluation system and model for the development level of rural tourism, and provides a method for quantifying the development level of regional rural tourism.Design/methodology/approachThis paper provides a method for evaluating the development level of rural tourism, constructs an evaluation index system according to the connotation of rural tourism, then calculates the index weight by entropy method, and makes a comprehensive evaluation by grey relational analysis. Taking the development of rural tourism in 11 cities in Jiangxi Province as the research object, the ranking results of 11 cities were obtained by using grey relational analysis.FindingsThe overall development level of rural tourism in Jiangxi Province is positive, but the spatial distribution is uneven, showing the characteristics of “low-level aggregation and high-level dispersion”. The barrier model diagnoses that the degree of financial input is the biggest constraint to the development level of rural tourism in Jiangxi Province.Originality/valueThis study puts forward an evaluation model based on entropy weight and grey relational analysis, which is an important supplement to the grey relational analysis method system and has a positive role in promoting the quantitative evaluation of regional rural tourism level.
Marketplace or reseller: the channel strategy analysis for e-commerce platforms considering brand differentiation
Authors: Shi Yuan , Qu Ting , Shi Jia , Huang Lan 
Published: July 2023

PurposeThe paper aims to clarify the effects of brand differentiation on the platform's formulation of channel strategy and help the online platform formulate the optimal channel strategy, which involves selecting a proper selling mode for each brand.Design/methodology/approachThe paper develops a multistage game model consisting of one online platform and two competing manufacturers with differentiated brands and examines the effects of brand differentiation on these three channel members' profits under each candidate channel strategy.FindingsThe results show that the platform prefers to offer the reselling mode for both brands when the brand differentiation is low, and this preference will be enhanced by the decrease in order fulfilment cost. By contrast, when the brand differentiation is high, it will offer the reselling mode for the premium brand but the marketplace service for the economy brand if the order fulfilment cost is not high; or the marketplace mode will be offered to both brands if this cost is high.Research limitations/implicationsThis study assumes that the order fulfilment costs of platform and manufacturer are fixed and symmetric. Therefore, researchers are encouraged to consider asymmetric costs of order fulfilment.Practical implicationsThe paper guides the online platform to formulate the optimal channel strategy for differentiated brands and provides managerial insights for differentiated brands entering online markets.Originality/valueThis paper explores platforms' optimal channel strategy by jointly considering the effects of brand differentiation and investigates the impacts of brand differentiation on the optimal decision making under four candidate options. Moreover, this paper has been extended to examine the case when the manufacturers' production costs cannot be neglected.
The impact of big five personality trait in predicting student academic performance
Authors: Shaninah Fathi Said Emhemed , Mohd Noor Mohd Halim 
Published: July 2023

PurposeThe study aims to propose a predictive model that combines personality and demographic factors to predict student academic performance (SAP). This research study works on understanding, enhancing and applying techniques to enhance the prediction of SAP.Design/methodology/approachThe authors gathered information from 305 university students from Al-Zintan University Libya. The study uses a survey questionnaire to collect data on essential variables. The purpose of the questionnaire is to discover variables that affect students' academic performance. The survey questionnaire has 44 closed questions with Likert scale designs that were distributed to a variety of college students at the start of the first semester of 2022. It includes questions about demographics, personality, employment and institutional aspects. The authors proposed a predictive model to identify the main fundamental components, consisting of one dependent variable (SAP) and five independent constructs. The suggested model is tested using partial least squares (PLS) and structural equation modeling (SEM), which perform better than covariance-based structural equation modeling (CB-SEM). PLS-SEM performs well with smaller sample sizes, even for complicated models.FindingsThe study results show that the proposed model accurately predicted the student's academic performance. The personality trait variables are a key factor that determines the actual student's academic performance. The student's academic performance is significantly impacted by each variable in the personality trait variables as well.Originality/valueThe process of validating research was done empirically through the accuracy and efficiency of model performance. The study differs from previous studies in that it accumulated a wide range of factors from different dimensions, including student demographics and personality trait factors. The authors developed a structural equation model to predict students' academic performance.
An inquiry into the health and safety management practices of construction firms in South Korea
Authors: Park Taeho , Mahamadu Abdul-Majeed , Agyekum Kofi , Adade-Boateng Anita Odame , Manu Patrick , Adinyira Emmanuel , Adukpo Selorm 
Published: July 2023

Purpose
This paper aims to investigate the Occupational Safety and Health (OSH) management practices of construction companies in South Korea to ascertain specific components and practices that need improvement for successful OSH performance.

Design/methodology/approach
A quantitative research strategy was adopted. A close-ended questionnaire survey covering 45 OSH management practices was sent to 324 contractors; 108 responses were gathered, representing a response rate of 33.3%. Data were analysed using simple descriptive statistics (frequencies and percentages) and Pearson’s chi-square test.

Findings
The findings revealed that there is a moderate level of implementation of OSH management practices among construction firms in South Korea. However, there is a significant disparity in terms of implementation between large enterprises on the one hand and small to medium enterprises on the other. Furthermore, a few of the business characteristics (i.e. the size of companies and certification to OHSAS 18001) were closely associated with the extent of the implementation of OSH management practices.

Practical implications
This research uncovers the OSH management practices that are poorly implemented and lays the foundation for appropriate measures to improve OSH in South Korean construction companies. It suggests an effective strategy for communicating health and safety issues to workers, training safety managers, reviewing risk assessments, reviewing the health and safety plan, incentivising workers by rewarding good behaviour and having a penal mechanism for employees not adhering to the rules.

Originality/value
The study provides insights into an under-investigated South Korean construction industry topic. It offers additional insight into state-of-the-art health and safety management practices in the construction industry in South Korea. Furthermore, it establishes which components of OSH management practice require improvement in the Korean context. This is also one of the few studies in OSH which establishes the association between the construction business characteristics and OSH management in the South Korean construction domain.
Is financial technology a complement or substitute for domestic financial institutions in Ghana?
Authors: Antwi-Wiafe Kwadwo , Asante Grace Nkansa , Takyi Paul Owusu 
Published: July 2023

PurposeThis paper aims to examine whether financial technology is complementing the performance of domestic financial institutions or substituting their performance in Ghana.Design/methodology/approachThe paper used data from the Bank of Ghana Payment System Statistics and Time Series Data of the Bank of Ghana from 2012 to 2021, by using autoregressive distributive lags estimation technique.FindingsThe results showed that in both the long run and short run, financial technology has a significant negative impact on bank performance, indicating that fintech serves as substitutes rather than complements for Ghanaian banks. These results suggest that there must be a critical review on the interoperability policy in Ghana and that banks should take advantage of the financial technology to increase profit.Originality/valueBased on the authors’ study, no empirical work has been extensively done in the Ghanaian context by examining how financial technology serves as either a complement or substitute for domestic banking institutions. This paper focuses on exploring the key definition of financial technology in Ghana and how transactions through these media are affecting or improving the performance of banks.
Employee ownership in the USA: lessons to consider in creating more inclusive capitalism
Authors: Rosen Corey 
Published: July 2023

PurposeThis paper aims to identify the key lessons to learn from the US employee stock ownership plan (ESOP)-model. The lessons are, broad-based employee ownership is difficult to attain and sustain if employees have to use their own money to purchase shares. The paper works better when the shares are held in trust rather than being held individually. Broad-based employee ownership improves corporate performance and employee financial security. Employees care more about how employee ownership affects the stability of their jobs and retirement than having governance rights. If laws require democratic governance there will not be widespread employee ownership. Tax incentives are critical to induce companies and their owners to share ownership.Design/methodology/approachThis paper is based on results from National Center for Employee Ownership research, a review of other research in the field, and the author’s own 45 years of experience in this field.FindingsAbout one-quarter of the private sector workforce in the USA participates in some kind of employee ownership plan. There are 6,700 ESOPs in the USA with 14 million participants. The ESOPs hold over $1.4 trillion in assets. About 6,000 of these plans are in non-listed companies and the companies employ about two million people. Public companies ESOPs generally own under 10% of company stock; private company ESOPs usually own at least 30% of the stock and a majority of the plans own 100% of the stock. Most of these companies have between 20 and 500 employees.Originality/valueThe article gives a practitioner's overview over the main reasons behind the success of the ESOP model in the USA.
Exploring lead users' continued participation intention in crowdsourcing innovation community in China: the effects of network externalities
Authors: Liang Ruoyu , Ye Zi , Zhang Jing , Du Wenbin 
Published: July 2023

PurposeLead users are essential participants in crowdsourcing innovation events; their continuance intention significantly affects the success of the crowdsourcing innovation community (CIC). Although researchers have acknowledged the influences of network externalities on users' sustained participation in general information systems, limited work has been conducted to probe these relationships in the CIC context; particularly, the predictors of lead users' continued usage intention in such context are still unclear. Hence, this paper aims to explore the precursors of lead users' continuance intention from a network externalities perspective in CIC.Design/methodology/approachThis work ranked users' leading-edge status to recognize lead users in the CIC. And then, the authors proposed a research model based on the network externalities theory, which was examined utilizing the partial least squares (PLS) technique. The research data were collected from an online survey of lead users (n = 229) of a CIC hosted by a China handset manufacturer.FindingsResults revealed that the number of peers, perceived complementarity and perceived compatibility significantly influence lead users' continuance intention through identification and perceived usefulness.Originality/valueThis work contributes to the crowdsourcing innovation research and provides views regarding how lead users' sustained participation can be developed in the CICs. This work also offers an alternative theoretical framework for further research on users' continued intention in open innovation activities.
Police burnout and organizational stress: job and rank associations
Authors: Baker Lucas D. , Richardson Elizabeth , Fuessel-herrmann Dianna , Ponder Warren , Smith Andrew 
Published: July 2023

PurposeBurnout is an issue affecting not only individual officers, but also the agencies they work for and the communities they serve. Despite its prevalence, there is limited evidence for effective interventions that address officer burnout. This study aims to advance this area of study by identifying organizational factors associated with police burnout. By identifying these factors, stakeholders interested in officer wellness will have more clearly defined targets for intervention.Design/methodology/approachSelf-report data were gathered from US police officers partitioned into command staff (n = 125), detective (n = 41), and patrol officer (n = 191) samples. Bootstrapped correlations were calculated between 20 organizational stressors and officer burnout.FindingsFindings revealed several shared organizational stressors associated with burnout regardless of role (command staff, detective, patrol officer), as well as several role-specific organizational stressors strongly associated with burnout. Together, these findings suggest utility in considering broad-based organizational interventions and role-specific interventions to affect burnout amidst varying job duties.Research limitations/implicationsPrimary limitations to consider when interpreting these results include sample homogeneity, unequal subsample sizes, cross-sectional data limitations, and the need for implementation of interventions to test the experimental effects of reducing identified organizational stressors.Practical implicationsThis study may provide command staff and consulting parties with targets to improve departmental conditions and officer burnout.Originality/valueThis represents the first study to evaluate organizational stressors by their strength of association with burnout across a stratified police sample.