bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of corporate credibility and bandwagon cues in sponsored social media advertising
Authors: Li Ruobing , Vafeiadis Michail , Xiao Anli , Yang Guolan 
Published: June 2020

PurposeSponsored social media content is one of the advertising strategies that companies implement so that ads appear as native to the delivery platform without making consumers feel that they are directly targeted. Hence, the current study examines whether prominently featuring corporate information on social media ads affects how consumers perceive them. It also investigates whether an ad's evaluation metrics on Twitter (e.g. number of likes/comments) influence its persuasiveness and consumers' behavioral intentions towards the sponsoring company. Underlying cognitive and affective mechanisms through which sponsored content operates are also investigated.Design/methodology/approachA 2 (corporate credibility: low vs high) by 2 (bandwagon cues: low vs high) between-subjects experiment was conducted.FindingsThe findings showed that corporate credibility and bandwagon cues can influence social media ad effectiveness. Sponsored content from high-credibility companies – evoked more favorable attitudes and behavioral intentions – is perceived as less intrusive, and elicits less anger than equivalent posts from low-credibility companies. Furthermore, it was found that bandwagon cues work via different pathways. For high-credibility corporations, a high number of bandwagon cues improved ad persuasiveness by mitigating consumers' anger towards intrusive sponsored content. Conversely, for low-credibility corporations high bandwagon cues enhanced ad persuasiveness, and this triggered more positive attitudes towards it.Originality/valueThis paper is the first to test corporate credibility and bandwagon effects in social media ads, while also exploring consumers' cognitive and affective responses to sponsored content. Implications for how companies with varying popularity levels should promote products on social media are discussed.
Older employees' postretirement work planning: an application of the theory of planned behavior
Authors: Peng Yisheng , Min Hanyi 
Published: June 2020

PurposeBased on the theory of planned behavior, this study aims to examine antecedents of older workers' intentions to engage in postretirement work (PRW) and actual planning for PRW.Design/methodology/approachA cross-sectional survey design was used. About 469 nurses (≥45 years old) from Midwestern United States completed an online survey containing various self-reports on attitude, perceived control, subjective norm, intentions to engage in PRW and actual planning for PRW.FindingsResults found that attitude and subjective norm (but not perceived control) were positively related to older employees' intentions to engage in PRW. Perceived control was positively related to actual planning for PRW. PRW intentions mediated the effects of attitude and subjective norm on older workers' actual planning for PRW. Finally, perceived control enhanced the positive effect of PRW intentions on actual planning for PRW.Originality/valueThis study contributes to the research by testing the application of the theory of planned behavior to the literature on PRW, further increasing our knowledge of the roles of individuals' attitudinal and cognitive factors in predicting older employees' PRW intentions and actual planning for PRW.
Tiki-taka algorithm: a novel metaheuristic inspired by football playing style
Authors: Ab. Rashid Mohd Fadzil Faisae 
Published: June 2020

Purpose
Metaheuristic algorithms have been commonly used as an optimisation tool in various fields. However, optimisation of real-world problems has become increasingly challenging with to increase in system complexity. This situation has become a pull factor to introduce an efficient metaheuristic. This study aims to propose a novel sport-inspired algorithm based on a football playing style called tiki-taka.

Design/methodology/approach
The tiki-taka football style is characterised by short passing, player positioning and maintaining possession. This style aims to dominate the ball possession and defeat opponents using its tactical superiority. The proposed tiki-taka algorithm (TTA) simulates the short passing and player positioning behaviour for optimisation. The algorithm was tested using 19 benchmark functions and five engineering design problems. The performance of the proposed algorithm was compared with 11 other metaheuristics from sport-based, highly cited and recent algorithms.

Findings
The results showed that the TTA is extremely competitive, ranking first and second on 84% of benchmark problems. The proposed algorithm performs best in two engineering design problems and ranks second in the three remaining problems.

Originality/value
The originality of the proposed algorithm is the short passing strategy that exploits a nearby player to move to a better position.
Liability risks in shareholders’ engagement via electronic communication and social media
Authors: Mohd-Sulaiman Aiman Nariman , Hingun Mohsin 
Published: June 2020

Purpose
This paper aims to examine the potential liability of companies and their board members arising from the use of digital technology and social media as communication and engagement tools with investors and shareholders.

Design/methodology/approach
The research relies on a qualitative study using legal analysis of corporate and capital market laws as well as the outcome of legal proceedings and regulatory actions to ascertain conduct that could expose companies and boards to liability risks.

Findings
Social media characteristics expose unwary directors and companies to potential liability for oppressive conduct, selective disclosure or misleading statements.

Research limitations/implications
This paper informs boards and companies of the types of conduct that could expose companies and boards to liability when social media is relied on to communicate with shareholders and investors.

Originality/value
The paper contributes to the literature on social media, capital market and corporate communication by presenting the legal perspective concerning reliance on social media as shareholders’ engagement and corporate communication tool.
WASPAS based MULTIMOORA method under IVIF environment for the selection of hub location
Authors: Aydin Nezir , Seker Sukran 
Published: June 2020

PurposeLow cost carriers (LCCs) have become one of the most significantly growing parts of the airline servicing market. This new player has redesigned the whole airline industry, which was previously led by the national/international full-service airline companies. Considering such advancements, the hub locations of LCCs became an important issue than ever before. Within this concept, a guiding framework is developed for an LCC company, which is in search of a new hub airport location within Turkey to satisfy the demand and attract new passengers.Design/methodology/approachAn interval-valued intuitionistic fuzzy (IVIF) sets based weighted aggregated sum product assessment (WASPAS) and multi-objective optimization by ratio analysis (MULTIMOORA) methods are developed for decision-making processes.FindingsFive airport locations are evaluated using the developed method. Results showed that in determining hub locations for LCCs, potential number of passengers of the city, airport quality and the number of hotels within the city are obtained as the three most important criteria among 12 evaluation criteria. The best location for the LCC company is determined as Antalya Airport.Research limitations/implicationsTo apply the proposed method to a different set of alternatives, data gathered on comparing location of alternatives from experts should be updated.Originality/valueProposed hybrid framework is presented as the first time in the literature as a decision-making tool. In order to validate framework's applicability, efficiency and effectiveness, a comparison and a sensitivity analysis are conducted at the end of the study.
Data-driven online service supply chain: a demand-side and supply-side perspective
Authors: Li Lei , Ma Shaojun , Han Xu , Zheng Chundong , Wang Di 
Published: June 2020

PurposeBig data analytics (BDA) and machine learning (ML) can be used to identify the influencing factors of online service supply chains (OSSCs) and can help in the formulation of optimal pricing strategies. This paper analyzes the influencing factors of customer online shopping from the demand-side perspective and formulates optimal pricing strategies from the supply-side perspective.Design/methodology/approachThis paper uses ML and the Stackelberg game approach to discuss OSSC management. ML's feature selection algorithm is used to identify the important influencing factors of 12,330 customers' online shopping intention data using four different classifiers. The Stackelberg game approach is used to analyze the pricing strategies of integrators and suppliers in OSSCs.FindingsFirst, the feature selection algorithm can improve the efficiency of optimization in big data samples of OSSCs. Second, the level of visualization and the quality of information (page value) will affect the purchase behavior of customers. Finally, the relationship between the optimal pricing and the level of visualization is obtained through the Stackelberg game approach.Practical implicationsThis paper reveals the phenomenon of “mystery customers,” and the results of this paper can provide insights and suggestions regarding the decision-making behavior of integrators and suppliers in OSSC management.Originality/valueConsidering customer behavior intention, this paper uses a data-driven method to explore the influencing factors and pricing strategies of OSSCs. The empirical results enrich the existing OSSC management research, proposing that the level of product visualization and information quality plays an important role in OSSCs.
Financial-tax reporting conformity, tax avoidance and corporate social responsibility
Authors: Alsaadi Abdullah 
Published: June 2020

PurposeThis study aims to investigate the effect of financial-tax reporting conformity jurisdictions on the association between corporate social responsibility (CSR) and aggressive tax avoidance.Design/methodology/approachUsing a sample comprising firms domiciled in Europe for the period 2008–2016, this study uses regression analysis to test the impact of financial-tax reporting conformity jurisdictions on the association between CSR and aggressive tax avoidance.FindingsThe empirical results show that there is a positive association between CSR and tax avoidance, and firms headquartered in low financial-tax reporting conformity jurisdictions are more likely to engage in CSR to hedge against the potential negative consequences of aggressive tax-avoidance practices as compared to firms domiciled in countries with high level of financial-tax reporting conformity.Practical implicationsThis study confirms Sikka’s (2010, 2013) view of “organised hypocrisy” act committed by firms to cover their socially irresponsible activities of aggressive tax avoidance by engaging in CSR. Results have implication for various regulatory bodies and investors in that the type of financial-tax conformity does impact the link between CSR and tax avoidance, and based on that, CSR firms may engage in CSR to overcome any negative reactions that could be caused as a result of tax avoidance.Originality/valueTo the best of the author’s knowledge, this study is the first to investigate the impact of financial-tax reporting conformity jurisdictions on the association between CSR and aggressive tax avoidance. This study also contributes to the literature in that, it uses an alternative data set which offers a more objective assessment of CSR measure and covers multiple countries.
Self-enhancement and cross-cultural adjustment: overclaiming in a global mobility context
Authors: Templer Klaus J. 
Published: June 2020

PurposeThis study aimed to test Early and Ang’s (2003) proposition that self-enhancement hinders successful cross-cultural adjustment. The literature on self-enhancement is reviewed, and the overclaiming technique as an unobtrusive measure of self-enhancement is introduced for use in global mobility contexts.Design/methodology/approachUsing the overclaiming technique, an international-cultural overclaiming test was developed. Expatriates in Singapore stated their familiarity with international-cultural knowledge items, with some of them being foil items, and rated their cross-cultural (general, interaction, work) adjustment. Supervisors rated the expatriates on their work adjustment and performance.FindingsOverclaiming was not related to self-rated cross-cultural adjustment. However, overclaiming was negatively related to supervisor rated work adjustment and performance. Additionally, the results showed that international-cultural knowledge accuracy was positively related to self-rated general adjustment and to supervisor rated work adjustment and performance.Research limitations/implicationsThe small sample size with a majority of expatriate teachers from international schools in the sample makes it necessary for the results to be replicated with larger and more varied expatriate samples.Practical implicationsWhile further validation is needed, this research indicates that the overclaiming technique could be a valuable tool for assessing self-enhancement in candidates for expatriate positions in order to gauge potential cross-cultural (mal)adjustment, as perceived by others.Originality/valueThis study was (likely) the first study that has applied the overclaiming technique in a global mobility context. An international-cultural knowledge overclaiming test is provided to academic researchers for future use.
Fault diagnosis of internal combustion engine gearbox using vibration signals based on signal processing techniques
Authors: KN Ravikumar , Kumar Hemantha , GN Kumar , KV Gangadharan 
Published: June 2020

PurposeThe purpose of this paper is to study the fault diagnosis of internal combustion (IC) engine gearbox using vibration signals with signal processing and machine learning (ML) techniques.Design/methodology/approachVibration signals from the gearbox are acquired for healthy and induced faulty conditions of the gear. In this study, 50% tooth fault and 100% tooth fault are chosen as gear faults in the driver gear. The acquired signals are processed and analyzed using signal processing and ML techniques.FindingsThe obtained results show that variation in the amplitude of the crankshaft rotational frequency (CRF) and gear mesh frequency (GMF) for different conditions of the gearbox with various load conditions. ML techniques were also employed in developing the fault diagnosis system using statistical features. J48 decision tree provides better classification accuracy about 85.1852% in identifying gearbox conditions.Practical implicationsThe proposed approach can be used effectively for fault diagnosis of IC engine gearbox. Spectrum and continuous wavelet transform (CWT) provide better information about gear fault conditions using time–frequency characteristics.Originality/valueIn this paper, experiments are conducted on real-time running condition of IC engine gearbox while considering combustion. Eddy current dynamometer is attached to output shaft of the engine for applying load. Spectrum, cepstrum, short-time Fourier transform (STFT) and wavelet analysis are performed. Spectrum, cepstrum and CWT provide better information about gear fault conditions using time–frequency characteristics. ML techniques were used in analyzing classification accuracy of the experimental data to detect the gearbox conditions using various classifiers. Hence, these techniques can be used for detection of faults in the IC engine gearbox and other reciprocating/rotating machineries.
Revisiting Fama–French’s asset pricing model with an MCB volatility risk factor
Authors: Chen Xiaoying , Gao Nicholas Ray-Wang 
Published: June 2020

Purpose
Since the introduction of VIX to measure the spot volatility in the stock market, VIX and its futures have been widely considered to be the standard of underlying investor sentiment. This study aims to examine how the magnitude of contango or backwardation (MCB volatility risk factor) derived from VIX and VIX3M may affect the pricing of assets.

Design/methodology/approach
This paper focuses on the statistical inference of three defined MCB risk factors when cross-examined with Fama–French’s five factors: the market factor Rm–Rf, the size factor SMB (small minus big), the value factor HML (high minus low B/M), the profitability factor RMW (robust minus weak) and the investing factor CMA (conservative minus aggressive). Robustness checks are performed with the revised HML-Dev factor, as well as with daily data sets.

Findings
The inclusions of the MCB volatility risk factor, either defined as a spread of monthly VIX3M/VIX and its monthly MA(20), or as a monthly net return of VIX3M/VIX, generally enhance the explanatory power of all factors in the Fama and French’s model, in particular the market factor Rm–Rf and the value factor HML, and the investing factor CMA also displays a significant and positive correlation with the MCB risk factor. When the more in-time adjusted HML-Dev factor, suggested by Asness (2014), replaces the original HML factor, results are generally better and more intuitive, with a higher R2 for the market factor and more explanatory power with HML-Dev.

Originality/value
This paper introduces the term structure of VIX to Fama–French’s asset pricing model. The MCB risk factor identifies underlying configurations of investor sentiment. The sensitivities to this timing indicator will significantly relate to returns across individual stocks or portfolios.
Low body mass index is associated with ectopic pregnancy following assisted reproductive techniques: a retrospective study
Authors: Cai J , Liu L , Jiang X , Li P , Sha A , Ren J 
Published: June 2020

ObjectiveTo investigate the association between body mass index (BMI) and ectopic pregnancy (EP) following embryo transfer (ET).DesignRetrospective cohort study.SettingUniversity‐affiliated hospital.PopulationA total of 16 378 pregnancies derived from either fresh ET or frozen–thawed ET between January 2008 and December 2017.MethodsWe used the generalised estimating equation (GEE) to analyse the association between BMI categories and EP, as one woman may contribute to more than one pregnancy. Generalised additive models were also used to demonstrate the non‐linear association. Models were adjusted for age, parity, gravidity, previous history of ectopic pregnancy, duration of infertility, polycystic ovary syndrome, endometriosis, diagnosis of tubal problems, ovarian reserve markers, ovarian stimulation parameters, insemination protocol, endometrial thickness and embryo transfer policies.Main outcome measuresEctopic pregnancy.ResultsAccording to the WHO criteria, the number of cycles with low (<18.5 kg/m2), normal (18.5–24.9 kg/m2) and high (≥25 kg/m2) BMI were 2155, 13 447 and 776, respectively. In comparison with the normal BMI group, the rate of EP was significantly increased in the low BMI group (2.92% versus 2.02%, relative risk 1.45, 95% CI 1.11–1.90), but not in the high BMI group (2.84%, relative risk 1.41, 95% CI 0.92–2.20). Adjusted for confounding factors, the odds ratio for EP comparing low BMI versus normal BMI was 1.61 (95% CI 1.19–2.16) and that comparing high BMI versus normal BMI was 1.12 (95% CI 0.72–1.76).ConclusionsLow BMI is associated with an increased risk of EP.Tweetable abstractThe ectopic pregnancy rate after embryo transfer for lean women is higher than that for women of normal weight.
Predicting risk of postpartum haemorrhage: a systematic review
Authors: Neary C , Naheed S , McLernon DJ , Black M 
Published: June 2020

BackgroundPostpartum haemorrhage (PPH) causes substantial morbidity and mortality worldwide. A reliable prognostic tool for PPH has potential to aid prevention efforts.ObjectiveSystematically to identify and appraise prognostic modelling studies for prediction of PPH.Search strategyMEDLINE, Embase, CINAHL and the Cochrane Library were searched using a combination of terms and synonyms including ‘prediction tool’, ‘risk score’ and ‘postpartum haemorrhage’.Selection criteriaAny observational or experimental study developing a prognostic model for women's risk of PPH. English language publications.Data collection and analysisPredesigned data extraction form to record: data source; participant criteria; outcome; candidate predictors; actual predictors; sample size; missing data; model development; model performance; model evaluation; interpretation.Main resultsOf 2146 citations screened, 14 studies were eligible for inclusion. Studies addressed populations of women who experienced placenta praevia, placenta accreta spectrum, vaginal birth, caesarean birth (CS) and the general obstetric population. All studies were at high risk of bias due to low sample size, no internal validation, suboptimal or no external validation or no reporting or handling of missing data. Five studies raised applicability concerns. Three externally validated and three internally validated studies show potential for robust external validation.ConclusionOf 14 prognostic models for PPH risk, three have some potential for clinical use: in CS, in placenta accreta spectrum disorders with MRI placental Evaluation and in placenta praevia. Future research requires robust internal and external validation of existing tools and development of a model for use in the general obstetric population.Tweetable abstractCurrent PPH prediction tools need external validation: one for CS, one for placenta praevia and one for placenta accreta. Tools are needed for labouring women.
Acute effects of a very low nicotine content cigarette on laboratory smoking lapse: Impacts of nicotine metabolism and nicotine dependence
Authors: Schlagintweit Hera E. , Tyndale Rachel F. , Hendershot Christian S. 
Published: June 2020

AbstractReducing cigarette nicotine content to nonaddictive levels facilitates smoking cessation; however, very low nicotine content cigarettes (VLNCs) may not be equally effective across heterogeneous smokers. We evaluated the impact of acute VLNC smoking versus control (sham puffs) on craving, withdrawal and smoking lapse behaviour and whether genetically influenced differences in nicotine metabolism and individual differences in nicotine dependence moderate observed effects. Thirty‐three overnight‐abstinent smokers (15 slow vs. 17 normal nicotine metabolizers; 17 low vs. 16 high nicotine dependence) smoked a 0.05‐mg nicotine VLNC during one session and took sham VLNC puffs during another session, in a counterbalanced order. Craving and withdrawal were assessed before and after smoking and sham puffing. Next, participants completed the McKee Smoking Lapse Task, which measures ability to resist smoking and quantity of ad libitum smoking. VLNC (vs. sham) reduced craving and withdrawal, increased ability to resist smoking and reduced ad libitum smoking. VLNC‐induced reduction in craving for positive reinforcement was greater in slow (vs. normal) metabolizers. Nicotine metabolism did not moderate any other VLNC responses. High‐dependence (vs. low‐dependence) participants engaged in greater ad lib smoking across VLNC and sham conditions. Nicotine dependence did not moderate VLNC responses. VLNC reduced craving, withdrawal and smoking lapse behaviour. Individual differences in nicotine metabolism and dependence had a minimal impact on VLNC responses; however, VLNCs were less effective at reducing craving for positive reinforcement among normal (vs. slow) metabolizers. These findings suggest that desirable VLNC effects may extend across heterogeneous groups of smokers.