bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proteomic identification and structural basis for the interaction between sorting nexin SNX17 and PDLIM family proteins
Authors: Healy Michael D. , Sacharz Joanna , McNally Kerrie E. , McConville Calum , Tillu Vikas A. , Hall Ryan J. , Chilton Molly , Cullen Peter J. , Mobli Mehdi , Ghai Rajesh , Stroud David A. , Collins Brett M. 
Published: July 2021

AbstractThe sorting nexin SNX17 controls endosome-to-cell surface recycling of diverse transmembrane cargo proteins including integrins, the amyloid precursor protein and lipoprotein receptors. This requires association with the multi-subunit Commander trafficking complex, which depends on the C-terminus of SNX17 through unknown mechanisms. Using affinity enrichment proteomics, we find that a C-terminal peptide of SNX17 is not only sufficient for Commander interaction but also associates with members of the actin-associated PDZ and LIM domain (PDLIM) family. We show that SNX17 contains a type III PSD95/Dlg/Zo1 (PDZ) binding motif (PDZbm) that binds specifically to the PDZ domains of PDLIM family proteins but not to other PDZ domains tested. The structure of the PDLIM7 PDZ domain bound to the SNX17 C-terminus was determined by NMR spectroscopy and reveals an unconventional perpendicular peptide interaction. Mutagenesis confirms the interaction is mediated by specific electrostatic contacts and a uniquely conserved proline-containing loop sequence in the PDLIM protein family. Our results define the mechanism of SNX17-PDLIM interaction and suggest that the PDLIM proteins may play a role in regulating the activity of SNX17 in conjunction with Commander and actin-rich endosomal trafficking domains.
A cross-sectional study on food safety knowledge amongst domestic workers in the UAE
Authors: Osaili Tareq , Shaker Obaid Reyad , Taha Sadi , Kayyaal Sofia , Ali Rima , Osama Manal , Alajmi Refaa , Al-Nabulsi Anas A. , Olaimat Amin , Hasan Fayeza , Ayyash Mutamed 
Published: July 2021

PurposeThe aims of this study were to assess the food safety knowledge amongst domestic workers in the UAE and test the association between their socio-demographic characteristics and food safety knowledge.Design/methodology/approachA non-probabilistic sample of 231 domestic workers who help families in food preparation and/or cooking participated in this cross-sectional study. The participants completed a questionnaire composed of socio-demographic characteristics and four different aspects of food safety knowledge (personal hygiene, food poisoning, cross-contamination and temperature control).FindingsIt was observed that the domestic workers had inadequate knowledge about food safety with an overall food safety knowledge score of 32.9%. Total knowledge of “personal hygiene” and “cross-contamination” was relatively higher (46.2 and 43.9%, respectively) than that of “food poisoning” (18.1%) and “temperature control” (23.3%). A significant (P-value < 0.05) association was observed between overall food safety knowledge and marital status, age and education level, but not nationality of domestic workers (Asian or African).Originality/valueThe findings of this study are expected to encourage policy makers mandate food safety trainings for this segment of the population besides helping them in creating awareness and training programs regarding food safety.
Uber Pricing Strategies and Marketing Communications
Authors: Weiler Virginia , Farris Paul , Yemen Gerry , Ailawadi Kusum 
Published: July 2021

By late March 2014, the ridesharing company Uber was on a roll, rapidly expanding service to untapped markets and gaining new, enthusiastic customers, as well as a few vocal and visible detractors. Uber’s innovative organization of the supply-demand matching process produced eager customers who recruited others. Buzz marketing and aggressive recruitment of drivers augmented growth.This case presents Uber as an example of a middleman adding real value for consumers and upstream suppliers (limo drivers). Unlike Tesla, which battled to sell cars directly to the public, Uber created value by adding a layer between limos and prospective riders, organizing the market for convenience and transparency for both sides. Where Uber stirred up the competitive equivalent of a hornet’s nest was with expansion from the livery car market into the taxi service market with UberX. The material allows for a lively discussion around disruptive digital technology and the firm’s business model.
Impacts of staff demographics on complaint management behaviour in five-star hotels in Dubai
Authors: Parikh Parin , Dutt Christopher S. 
Published: July 2021

PurposeA continuous issue which plagues all service businesses is the process of handling complaints. Whilst the topic has been relatively well explored, extant literature has failed to fully explore how staff demographics influence the methods in which they manage complaints.Design/methodology/approachA qualitative approach was adopted with semi-structured interviews. A purposeful sample was selected, inviting managers from hotels in Dubai to share their views on factors affecting the complaint management process, including the impact of staff demographics.FindingsStaff demographics were found to have an impact on staff's approach to handle complaints. However, participants generally felt that, with sufficient experience, the impact of many of these influences would be negated.Originality/valueLiterature on complaint management has considered numerous mitigating factors affecting the complaint management process. The impact of staff demographics on how they receive and respond to complaints has not been thoroughly explored.
Do innovations improve firm performance in the Indian manufacturing sector? A mediation and synergy effect analysis
Authors: Fatema Farha , Islam Mohammad Monirul 
Published: July 2021

PurposeThis study examines the effects of both technological and non-technological innovations on the overall performance of Indian manufacturing firms, and identifies the mediation and synergy effects in the relationship between innovation and performance.Design/methodology/approachThe study applies the partial least squares structural equation modelling (PLS-SEM) technique using Smart PLS3 on a combined data set from the World Bank Enterprise Survey and the follow-up Innovation Survey for India in 2014. Different newly developed statistical tests [PLS predict, importance performance map analysis (IPMA), multi-group analysis (MGA) and confirmatory tetrad analysis PLS (CTA-PLS)] have been used to check the robustness of the empirical results.FindingsThe results of the study suggest that technological innovations (product and process innovation) significantly affect a firm's overall performance, and that innovation strategy significantly mediates the effects, whereas the effects of non-technological innovations (marketing and organisational innovation) on a firm's performance are fully mediated by innovative performance. IPMA results suggest that technological innovations and their respective strategies are very important in improving a firm's performance, whereas non-technological innovations have great importance for increasing the innovative performance of the firms. The MGA results suggest that there are several distinctions in the path relationship and mediation effect among a firm's segment based on technology intensity and firm size. The study results do not find that innovation types have significant synergy effects on a firm's performance.Originality/valueThe study results suggest that managers should focus on technological innovations, along with their respective strategies to improve the overall performance of a firm, whereas non-technological innovations should be given priority for increasing the firm's innovative performance. Moreover, while making policy regarding innovation the people concerned should bear in mind which segment of the firms they are dealing with, as the effects differ across a firm's technology-intensity and size.
A framework for near real-time ROM stockpile modelling to improve blending efficiency
Authors: Zhao Shi , Lu Tien-Fu , Statsenko Larissa , Koch Benjamin , Garcia Chris 
Published: July 2021

Purpose
In the mining industry, a run-of-mine (ROM) stockpile is a temporary storage unit, but it is also widely accepted as an effective method to reduce the short-term variations of ore grade. However, tracing ore grade at ROM stockpiles accurately using most current fleet management systems is challenging, due to insufficient information available in real time. This study aims to build a three-dimensional (3D) model for ROM stockpiles continuously based on fine-grained grade information through integrating data from a number of ore grade tracking sources.

Design/methodology/approach
Following a literature review, a framework for a new stockpile management system is proposed. In this system, near real-time high-resolution 3D ROM stockpile models are created based on dump/load locations measured from global positioning system sensors. Each stockpile model contains a group of layers which are separated by different qualities.

Findings
Acquiring the geometric shapes of all the layers in a stockpile and cuts made by front wheel loaders provides a better understanding about the quality and quality distribution within a stockpile when it is stacked/reclaimed. Such a ROM stockpile model can provide information on predicating ore blend quality with high accuracy and high efficiency. Furthermore, a 3D stockyard model created based on such ROM stockpile models can help organisations optimise material flow and reduce the cost.

Research limitations/implications
The modelling algorithm is evaluated using a laboratory scaled stockpile at this stage. The authors expect to scan a real stockpile and create a reference model from it. Meanwhile, the geometric model cannot represent slump or collapse during reclaiming faithfully. Therefore, the model is expected to be reconcile monthly using laser scanning data.

Practical implications
The proposed model is currently translated to the operations at OZ Minerals. The use of such model will reduce the handling costs and improve the efficiency of existing grade management systems in the mining industry.

Originality/value
This study provides a solution to build a near real-time high-resolution multi-layered 3D stockpile model through using currently available information and resources. Such novel and low-cost stockpile model will improve the production rates with good output product quality control.
Nexus between oil price uncertainty and corporate social responsibility: evidence from US firms
Authors: Hassen Guenichi , Hamdi Khalfaoui 
Published: July 2021

PurposeThis paper examines the effect of oil price uncertainty on corporate social responsibility (CSR) for 507 US firms over the period 1985–2019.Design/methodology/approachTo investigate the nexus between oil price uncertainty and CSR, we have proceeded with a fixed-effects panel regression model over the period 1985–2019.FindingsUsing a dataset of 507 US firms, different specifications of CSR and two alternatives measures of oil price uncertainty, we show that oil price uncertainty negatively influences the CSR in the global US panel and firm's characterized panel. This negative effect is dependent on firms' size, firm's age and value of book share of firms.Research limitations/implicationsUS firms are exposed to more risk when carrying high levels of debt, resulting in reduced spending to improve social and environmental conditions. While the negative effect of oil price uncertainty on CSR is exacerbated in economic crisis periods.Practical implicationsUS firms are influenced by energy price volatility especially by oil price fluctuations which are the main factor of American economic growth. The rise of oil price uncertainty reduces sustainable corporate development and investment in the green economy.Social implicationsRethinking renewable energies as an alternative solution in order to guarantee the performance and sustainability of social, environmental and cultural activities.Originality/valueYoung and small firms, lower-share outstanding firms and high book value per share firms are the most negatively affected by oil price uncertainty and therefore their social responsibilities are reduced. However, by introducing interaction variables in the main model, we find that the most indebted firms on one hand and big firms and high-number shares outstanding firms, on the other hand, are the most influenced by oil price uncertainty which consequently limits their social and environmental responsibility.
Measuring the effect of investor sentiment on financial distress
Authors: Dunham Lee M. , Garcia John 
Published: July 2021

PurposeThis study examines the effect of firm-level investor sentiment on a firm's level of financial distress.Design/methodology/approachThe authors use Bloomberg's firm-level, daily investor sentiment scores derived from firm-level news and Twitter content in a beta-regression model to explain the variability in a firm's financial distress.FindingsThe results indicate that improvements (deterioration) in investor sentiment derived from both news articles and Twitter content lead to a decrease (increase) in the average firm's financial distress level. We also find that the effect of sentiment derived from Twitter on a firm's financial distress is significantly stronger than the sentiment derived from news articles.Research limitations/implicationsOur proxy for financial distress is Bloomberg's financial distress measures, which may be an imperfect measure of financial distress. Our results have important implications for market participants in assessing the determinants of financial distress.Practical implicationsOur sample period covers four years (2015–2019), which is determined by Bloomberg sentiment data availability.Social implicationsMarket participants are increasingly using social media to express views on firms and seek information that might be used to determine a firm's level of financial distress. Our study links investor sentiment derived from social media (Twitter) and traditional news articles to financial distress.Originality/valueBy examining the relationship between a firm's sentiment and its financial distress, this paper advances our understanding of the factors that drive a firm's financial distress. To our knowledge, this is the first study to link US firms' investor sentiment derived from firm-level news and Twitter content to a firm's financial distress.
Strategic marketing approaches impact on social enterprises
Authors: Nascimento Leandro da Silva , Steinbruch Fernanda Kalil , Oliveira Daniel Max de Sousa , Costa Júnior Júlio César da , Luce Fernando Bins 
Published: July 2021

PurposeDue to social enterprises' (SEs) relevance to social value creation, marketing increases its attention to these hybrid organizations. However, there is no consensus on how strategic marketing can improve SE performance. Thus, this paper aims to discuss how commercial, social and societal strategic marketing approaches relate to compensatory and transformative social entrepreneurship scopes to improve SE performance.Design/methodology/approachThis paper is conceptual. We hold discussions and raise reflections to advance knowledge on both marketing and social entrepreneurship fields, more precisely by intertwining them.FindingsWe develop a conceptual model for adapting three strategic marketing approaches to compensatory and transformative SEs. We argue that SEs have three types of performances: commercial, social and societal. Social and commercial strategic marketing are essential for SEs acting in compensating local failures of capitalism. Societal and commercial strategic marketing are essential for SEs focused on transformative actions to changing global system. Such relations can leverage social impact, which we conceptualize as compensatory or transformative.Practical implicationsThe model contributes to improvements on strategic marketing decisions by marketers and entrepreneurs in social entrepreneurship.Originality/valueWe propose a decomposition of strategic marketing into three approaches: commercial, social and societal, which constitutes a novelty to the field. This can facilitate management of SEs with different actions and performances, whether at local or international levels.
The advent of artificial intelligence-based coaching
Authors: Khandelwal Komal , Upadhyay Ashwani Kumar 
Published: July 2021

Purpose
This paper aims to explore the application of artificial intelligence (AI) for coaching. This paper discusses the different applications, benefits, challenges and implementation issues in AI usage in coaching. It highlights how AI is facilitating the up-skill and re-skill of employees.

Design/methodology/approach
The viewpoint reviews the articles, research papers and case studies.

Findings
AI-based coaching apps are aiding managers and supervisors in coaching and tracking trainees and mentees’ progress. AI is being used to customize the coaching program as per the mentee’s individual needs. AI-powered coaching systems can analyze recorded sales conversations and offer real-time coaching and feedback.

Research limitations/implications
AI-powered coaching systems help transform coaching from standard in-person one-to-one mode to personalized and customized AI system assisted coaching system. Research is needed to understand the factors that can facilitate AI-powered coaching transform into a game changer in the coaching industry.

Originality/value
This paper reviews and discusses several AI-powered coaching applications. This paper is useful for researchers and professionals in the field of coaching and mentoring, as it offers a review of the current AI-powered coaching applications.

Practical implications
AI systems offer private unbiased feedback and help self-assessment of individual mentee and mentor performance. AI provides a capability for organizations to track individuals’ learning and calculate return on investment.
Commentary on “Making the world a better place: achieving impact through innovation and an entrepreneurial ethos”
Authors: McGill Peter 
Published: July 2021

Purpose
The purpose of this paper is to provide a commentary on “Making the world a better place: achieving impact through innovation and an entrepreneurial ethos” written by John Pepin.

Design/methodology/approach
The commentary considers the broader role of philanthropy especially with respect to learning disability and autism.

Findings
The work of the Shirley Foundation is a good example of the contribution that can be made by philanthropy. Although philanthropy has many critics, it remains one way in which significant change can by supported.

Originality/value
Partnerships between philanthropic and government funding may help both to address some of the concerns raised about philanthropy and maximise the potential for beneficial impacts.
Beam propagation of the 15‐degree equation and prestack depth migration in tilted transversely isotropic media using a ray‐centred coordinate system
Authors: Zhang Bohan , Wang Huazhong , Wang Xiaowen 
Published: July 2021

ABSTRACTSeismic wave imaging in complex media requires an accurate wavefield simulation method that can accurately describethe wave propagation in realistic media. Reverse time‐depth migration is the preferred method for seismic wave imaging in complex media. Although it is relatively expensive, its imaging accuracy is usually better than migrations based on the ray method. Migration of primary reflection data requires a wave propagation simulation method that can accurately describe primary reflected/scattered wave energy and incorporate anisotropy. Accordingly, we propose the simulation of wave propagation in tilted transversely isotropic media using a 15° one‐way wave equation in a ray‐centred coordinate system, combining the flexibility of ray theory and the accuracy of wave theory. We use this equation to describe the propagation of body waves in a single ray tube, a ‘beam’. The wavefield along the beam, guided by its central raypath, has an angle limit defined only by the ray angle; therefore, wave propagation in complex and steeply dipping media can be simulated with a 15° one‐way wave equation. Numerical experiments show that the simulation results for beam propagation using the 15° equation in the ray‐centred coordinate system have good accuracy. For prestack depth migration in tilted transversely isotropic media, we built a beam imaging method using this propagator, and this migration method yielded accurate images with greater efficiency than reverse time‐depth migration.
How is Earnings News Transmitted to Stock Prices?
Authors: Grégoire Vincent , Martineau Charles 
Published: July 2021

ABSTRACTWe examine the speed and mechanism of the price discovery process following earnings announcements in the after‐hours market, a very illiquid trading environment. Prices reflect earnings surprises mostly through changes in quotes rather than through trades. Following positive announcement surprises, ask prices adjust quickly while bid prices are slower to adjust, and vice versa for negative surprises. Returns computed from trade prices underestimate the speed and magnitude of price reactions following announcements relative to returns computed from quotes. These findings emphasize the importance of using quotes and not trade prices when examining intraday price discovery. Because firm announcements such as earnings generally occur in the after‐hours market, using quotes is crucial as trading is sparse. We further illustrate the importance of quotes when examining the price discovery process around analyst recommendation revisions.
A novel method for linking between a 3D printer and printed objects using toolmark comparison techniques
Authors: Aronson Ayal , Elyashiv Ariel , Cohen Yaron , Wiesner Sarena 
Published: July 2021

AbstractRapid advances and decreased production costs in 3D printing (3DP) have resulted in its accelerated implementation in criminal activities. Fused Deposition Modeling (FDM (3DP and Polylactic Acid (PLA) filament were chosen for the current research because they are widely used in commodity 3DP, particularly in documented criminal activities. This study shows how specific features of 3DP along with classical toolmark comparison techniques using Stereo‐Microscopy and Comparison Microscopy can be used to link between two 3DP objects as well as between a printed object and a suspected 3D printer. Links are determined based on random fine marks found on the 3DP's heated stage (bed) that are replicated to the base face of the printed object. Melted filament that extrudes from the nozzle of the FDM 3DP constructs the base face of the printed object. This melted filament functions as a “casting material” after it cools down and solidifies, enabling replication of the fine marks. The observed resolution of these marks is as high as the resolution of casting material dedicated for toolmark replications. Overall, this study demonstrates a novel forensic method based on toolmark comparison for linking between a 3D printer and its printed objects.