bluuebunny/crossref_metadata_2025 huggingface dataset:
Using topic modeling to detect cellular crosstalk in scRNA-seq
Authors: Pancheva Alexandrina , Wheadon Helen , Rogers Simon , Otto Thomas
Published: July 2021

Cell-cell interactions are vital for numerous biological processes including development, differentiation, and response to inflammation. Currently most methods for studying interactions on scRNA-seq level are based on curated databases of ligands and receptors. While those methods are useful, they are limited to our current biological knowledge. Recent advances in single cell protocols have allowed for physically interacting cells to be captured and as such we have the potential to study interactions in a complimentary way without relying on prior knowledge. We introduce a new method for detecting genes that change as a result of interaction based on Latent Dirichlet Allocation (LDA). We apply our method to synthetic datasets to demonstrate its ability to detect genes that change in an interacting population compared to a reference population. Next, we apply our approach to two datasets of physically interacting cells and identify genes that change as a result of interaction, examples include adhesion and co-stimulatory molecules which confirm physical interaction between cells. For each dataset we produce a ranking of genes that are changing in subpopulations of the interacting cells. In addition to genes, discussed in the original publications we highlight further candidates for interaction in the top 100 and 300 ranked genes. Lastly, we apply our method to a dataset generated by a standard droplet based protocol, not designed to capture interacting cells and discuss its suitability for analysing interactions. We present a method that streamlines the detection of interactions and does not require prior clustering and generation of synthetic reference profiles to detect changes in expression.

Author summary

While scRNA-seq research is a dynamic area, progress is lacking when it comes to developing methods that allow analysis of interaction that is independent of curated resources of known interacting pairs. Recent advances of sequencing protocols have allowed for interacting cells to be captured. We propose a novel method based on LDA that captures changes in gene expression as a result of interaction. Our method does not require prior information in the form of clustering or generation of synthetic reference profiles. We demonstrate the suitability of our approach by applying it to synthetic and real datasets and manage to capture biologically interesting candidates of interaction.
Profound structural conservation of chemically cross-linked HIV-1 envelope glycoprotein experimental vaccine antigens
Authors: Martin Gregory , Russell Rebecca A , Mundsperger Philip , Harris Scarlett , Jovanoska Lu , Trajano Luiza Farache , Schiffner Torben , Fabian Katalin , Tolazzi Monica , Scarlatti Gabriella , McFarlane Leon , Cheeseman Hannah , Aldon Yoann , Breemen Marielle , Sliepen Kwinten , Katinger Dietmar , Kunert Renate , Sanders Rogier W , Shattock Robin , Ward Andrew B , Sattentau Quentin J
Published: July 2021

Chemical cross-linking is used to stabilise protein structure with additional benefits of pathogen and toxin inactivation for vaccine use, but its use is restricted by potential induction of local or global structural distortion. This is of particular importance when the protein in question requires a high degree of structural conservation for the purposes of understanding function, or for inducing a biological outcome such as elicitation of antibodies to conformationally-sensitive epitopes. The HIV-1 envelope glycoprotein (Env) trimer is metastable and shifts between different conformational states, complicating its functional analysis and use as a vaccine antigen. Here we have used the hetero-bifunctional zero-length reagent EDC to cross-link two soluble Env trimers, selected well-folded trimers using an antibody affinity column, and transferred this process to good manufacturing practice (GMP) for clinical trial use. Cross-linking enhanced GMP trimer stability to biophysical and enzyme attack, and had broadly beneficial effects on morphology, antigenicity and immunogenicity. Cryo-EM analysis revealed that cross-linking essentially completely retained overall structure with RMSDs between unmodified and cross-linked Env trimers of 0.4-0.5 Å. Despite this negligible distortion of global trimer structure we identified individual inter-subunit, intra-subunit and intra-protomer cross-links. Thus, EDC cross-linking maintains protein folding, improves stability, and is readily transferred to GMP, consistent with use of this approach in probing protein structure/function relationships and in the design of vaccines.
A multispecies amplicon sequencing approach for genetic diversity assessment in grassland plant species
Authors: Loera-Sánchez Miguel , Studer Bruno , Kölliker Roland
Published: July 2021

Grasslands are widespread and economically relevant ecosystems at the basis of sustainable roughage production. Plant genetic diversity (PGD; i.e., within-species diversity) is related to many beneficial effects to the ecosystem functioning of grasslands. The monitoring of PGD in temperate grasslands is complicated by the multiplicity of species present and by a shortage of methods for large-scale assessment. However, the continuous advancement of high-throughput DNA sequencing approaches have improved the prospects of broad, multispecies PGD monitoring. Among them, amplicon sequencing stands out as a robust and cost-effective method.

Here we report a set of twelve multispecies primer pairs that can be used for high-throughput PGD assessment in multiple grassland plant species. The loci targeted by the amplicons were selected and tested in two phases: a “discovery phase” based on a sequence capture assay (611 target nuclear loci assessed in 16 grassland plant species), which resulted in the selection of eleven loci; and a “validation phase”, in which the selected loci were targeted and sequenced using twelve multispecies primers in test populations of Dactylis glomerata L., Lolium perenne L., Festuca pratensis Huds., Trifolium pratense L. and T. repens L. The resulting multispecies amplicons had overall nucleotide diversities per species ranging from 5.19 × 10−3 to 1.29 × 10−2, which is in the range of flowering-related genes but slightly lower than pathogen resistance genes. We conclude that the methodology, the DNA sequence resources, and the amplicon-specific primer pairs reported in this study provide the basis for large-scale, multispecies PGD monitoring in grassland plants.
PEGR: a flexible management platform for reproducible epigenomic and genomic research
Authors: Shao Danying , Kellogg Gretta D. , Nematbakhsh Ali , Kuntala Prashant , Mahony Shaun , Pugh B. Franklin , Lai William KM
Published: July 2021

Reproducibility is a significant challenge in (epi)genomic research due to the complexity of experiments composed of traditional biochemistry and informatics. Recent advances have exacerbated this challenge as high-throughput sequencing data is generated at an unprecedented pace. Here we report on our development of a Platform for Epi-Genomic Research (PEGR), a web-based project management platform that tracks and quality controls experiments from conception to publication-ready figures, compatible with multiple assays and bioinformatic pipelines. It supports rigor and reproducibility for biochemists working at the wet bench, while continuing to fully support reproducibility and reliability for bioinformaticians through integration with the Galaxy platform.
Gametophyte genome activation occurs at pollen mitosis I in maize
Authors: Nelms Brad , Walbot Virginia
Published: July 2021

Flowering plants alternate between multicellular haploid (gametophyte) and diploid (sporophyte) generations. One consequence of this life cycle is that plants face substantial selection during the haploid phase1–3. Pollen actively transcribes its haploid genome4, providing phenotypic diversity even among pollen grains from a single plant. Currently, the timing that pollen precursors first establish this independence is unclear. Starting with an endowment of transcripts from the diploid parent, when do haploid cells generated by meiosis begin to express genes? Here, we follow the shift to haploid expression in maize pollen using allele-specific RNA-sequencing (RNA-Seq) of single pollen precursors. We observe widespread biallelic expression for 11 days after meiosis, indicating that transcripts synthesized by the diploid sporophyte persist long into the haploid phase. Subsequently, there was a rapid and global conversion to monoallelic expression at pollen mitosis I (PMI), driven by active new transcription from the haploid genome. Genes expressed during the haploid phase showed reduced rates of nonsynonymous relative to synonymous substitutions (dn/ds) if they were expressed after PMI, but not before, consistent with purifying selection acting on the haploid gametophyte. This work establishes the timing with which haploid selection may act in pollen and provides a detailed time-course of gene expression during pollen development.
MYC hyperactivates WNT signaling in APC/CTNNB1-mutated colorectal cancer cells through miR-92a-dependent repression of DKK3
Authors: Sehgal Priyanka , Lanauze Claudia , Wang Xin , Hayer Katharina E. , Torres-Diz Manuel , Sela Yogev , Stanger Ben Z. , Lengner Christopher J. , Thomas-Tikhonenko Andrei
Published: July 2021

Activation of Wnt signaling is among the earliest events of colon cancer development. It is achieved either via activating mutations in the CTNNB1 gene encoding β-catenin, the key transcription factor in the Wnt pathway, or most commonly by inactivating mutations in APC, a major β-catenin binding partner and negative regulator. However, our analysis of recent Pan Cancer Atlas data revealed that CTNNB1 mutations significantly co-occur with those affecting Wnt receptor complex components (e.g., Frizzled and LRP6), underscoring the importance of additional regulatory events even in the presence of common APC/CTNNB1 mutations. In our effort to identify non-mutational hyperactivating events, we determined that KRAS-transformed murine colonocytes overexpressing direct β-catenin target MYC show significant upregulation of the Wnt signaling pathway and reduced expression of Dickkopf 3 (DKK3), a reported ligand for Wnt co-receptors. We demonstrate that Myc suppresses Dkk3 transcription through one of mir-17-92 cluster microRNAs, miR-92a. We further examined the role of DKK3 by overexpression and knockdown and discovered that DKK3 suppresses Wnt signaling in APC-null murine colonic organoids and human colon cancer cells despite the presence of downstream activating mutations in the Wnt pathway. Conversely, MYC overexpression in the same cell lines resulted in hyperactive Wnt signaling, acquisition of epithelial-to-mesenchymal transition markers, and enhanced migration and invasion and metastasis in syngeneic orthotopic mouse colon cancer model. Our results suggest that the MYC->miR-92a-|DKK3 axis hyperactivates Wnt signaling, forming a feedforward oncogenic loop.

SIGNIFICANCE

Common APC and CTNNB1 mutations activate Wnt signaling in colorectal cancers. Here we demonstrate that further potentiation of this pathway involves microRNA-dependent repression of the DKK3 gene by the Myc oncoprotein.
Soil fauna may buffer the negative effects of drought on alien plant invasion
Authors: Jin Huifei , Chang Liang , van Kleunen Mark , Liu Yanjie
Published: July 2021

Although many studies have tested the direct effects of drought on alien plant invasion, less is known about how drought affects alien plant invasion indirectly via other groups of organisms such as soil fauna. To test for such indirect effects, we grew single plant of nine naturalized alien target species in pot-mesocosms with a native community of five native grassland species under four combinations of two drought (well-watered vs drought) and two soil-fauna-inoculation (with vs without) treatments. We found that drought decreased the absolute and the relative biomass production of the alien plants, and thus reduced their competitive advantage in the native community. Drought decreased the abundance of soil fauna, particularly the soil mites, but did not affect abundance and richness of soil herbivores. Soil-fauna inoculation increased the biomass of the native plant community and thereby decreased the relative biomass production of the alien species. The increased invasion resistance due to soil fauna, however, tended (p = 0.09) to be stronger for plants growing under well-watered conditions than under drought. Our multispecies experiment thus shows that soil fauna might help native resident communities to resist alien plant invasions, but that this effect might be diminished by drought.
Representational learning of brain responses in executive function and higher-order cognition using deep graph convolutions
Authors: Zhang Yu , Farrugia Nicolas , Dagher Alain , Bellec Pierre
Published: July 2021

Brain decoding aims to infer human cognition from recordings of neural activity using modern neuroimaging techniques. Studies so far often concentrated on a limited number of cognitive states and aimed to classifying patterns of brain activity within a local area. This procedure demonstrated a great success on classifying motor and sensory processes but showed limited power over higher cognitive functions. In this work, we investigate a high-order graph convolution model, named ChebNet, to model the segregation and integration organizational principles in neural dynamics, and to decode brain activity across a large number of cognitive domains. By leveraging our prior knowledge on brain organization using a graph-based model, ChebNet graph convolution learns a new representation from task-evoked neural activity, which demonstrates a highly predictive signature of cognitive states and task performance. Our results reveal that between-network integration significantly boosts the decoding of high-order cognition such as visual working memory tasks, while the segregation of localized brain activity is sufficient to classify motor and sensory processes. Using twin and family data from the Human Connectome Project (n = 1,070), we provide evidence that individual variability in the graph representations of working-memory tasks are under genetic control and strongly associated with participants in-scanner behaviors. These findings uncover the essential role of functional integration in brain decoding, especially when decoding high-order cognition other than sensory and motor functions.

Teaser

Modelling functional integration through graph convolution is a necessary step towards decoding high-order human cognition.

Significance statement

Over the past two decades, many studies have applied multivariate pattern analysis to decode what task a human participant is performing, based on a scan of her brain. The vast majority of these studies have however concentrated on select regions and a specific domain, because of the computational complexity of handling full brain data in a multivariate model. With the fast progress in the field of deep learning, it is now possible to decode a variety of cognitive domains simultaneously using a full-brain model. By leveraging our prior knowledge on brain organization using a graph-based model, we uncovered different organizational principles in brain decoding for motor execution and high-order cognition by modelling functional integration through graph convolution.
Histone Variant macroH2A1 Spatially and Functionally Organizes Human Papillomavirus Replication Foci in the Productive Stage of Infection
Authors: Khurana Simran , Markowitz Tovah E. , Kabat Juraj , McBride Alison A.
Published: July 2021

The life cycle of HPV depends on keratinocyte differentiation as the virus modulates and takes advantage of cellular pathways to replicate its genome and assemble viral particles in differentiated cells. Viral genomes are amplified in nuclear replication foci in differentiated keratinocytes, and DNA repair factors from the DNA damage response signaling pathway are recruited to replicate viral DNA. The HPV genome is associated with cellular histones at all stages of the infectious cycle, and here we show the histone variant macroH2A1 is bound to the HPV genome and enriched in viral replication foci in differentiated cells. MacroH2A1 isoforms play important roles in cellular transcriptional repression, double strand break repair, and replication stress. The viral E8^E2 protein also binds to the HPV genome and inhibits viral replication and gene expression by recruiting NCoR/SMRT complexes. We show here that E8^E2 and SMRT also localize within replication foci, though not through direct interaction with macroH2A1. Conversely, transcription complexes containing RNA polymerase II and Brd4 are located on the surface of the foci. Foci generated with an HPV16 E8^E2 mutant genome are not enriched for SMRT or macroH2A1 but contain transcriptional complexes throughout the foci. We demonstrate that macroH2A1 promotes viral late transcription and propose that it does so by spatially separating replication and transcription activities within replication foci.

IMPORTANCE

Human papillomaviruses are small DNA viruses that cause chronic infection of cutaneous and mucosal epithelium. In some cases, persistent infection with HPV can result in cancer, and 5% human cancers are the result of HPV infection. In differentiated cells, HPV amplifies viral DNA in nuclear replication factories and transcribes late mRNAs to produce capsid proteins. However, very little is known about the spatial organization of these activities in the nucleus. Here we show that repressive viral and cellular factors localize within the foci to supress viral transcription, while active transcription takes place on the surface. The cellular histone variant macroH2A1 is important for this spatial organization.
Nucleus size and its effect on the chromatin structure in living cells
Authors: Efremov Artem K. , Hovan Ladislav , Yan Jie
Published: July 2021

DNA-architectural proteins play a major role in organization of chromosomal DNA in living cells by packaging it into chromatin, whose spatial conformation is determined by an intricate interplay between the DNA-binding properties of architectural proteins and physical constraints applied to the DNA by a tight nuclear space. Yet, the exact effects of the cell nucleus size on DNA-protein interactions and chromatin structure currently remain obscure. Furthermore, there is even no clear understanding of molecular mechanisms responsible for the nucleus size regulation in living cells. To find answers to these questions, we developed a general theoretical framework based on a combination of polymer field theory and transfer-matrix calculations, which showed that the nucleus size is mainly determined by the difference between the surface tensions of the nuclear envelope and the endoplasmic reticulum membrane as well as the osmotic pressure exerted by cytosolic macromolecules on the nucleus. In addition, the model demonstrated that the cell nucleus functions as a piezoelectric element, changing its electrostatic potential in a size-dependent manner. This effect has been found to have a profound impact on stability of nucleosomes, revealing a previously unknown link between the nucleus size and chromatin structure. Overall, our study provides new insights into the molecular mechanisms responsible for regulation of the cell nucleus size, as well as the potential role of nuclear organization in shaping the cell response to environmental cues.

SIGNIFICANCE STATEMENT

The cell nucleus plays a central role in the life of eukaryotic cells, providing the highest level of control of intracellular processes. Depending on the stage of the cell cycle and / or surrounding environment, the size of the cell nucleus may undergo changes that are believed to cause chromatin reorganization, affecting gene transcription. At present, however, there is no clear understanding of the molecular mechanisms that may be responsible for such regulation, whose exact effect on chromatin structure remains unclear. In this study, by developing an advanced computational approach, we explore these issues from a physical perspective, revealing previously unknown mechanisms contributing to organization of the cell nucleus and chromatin.
Detection and characterization of replication origins defined by DNA polymerase epsilon
Authors: Jaksik Roman , Wheeler David A. , Kimmel Marek
Published: July 2021

Background

Although the process of DNA replication is highly conserved the location of origins of replication (ORI) may vary from one tissue to the next or one round of replication to the next in eukaryotes, suggesting flexibility in the choice of locations to initiate replication. Lists of human ORI therefore vary widely in number and location and there are no methods available to compare them.

Results

Here we report the genome-wide localization of ORI in POLE-mutated human tumors using whole genome sequencing data. Mutations accumulated after many rounds of replication of unsynchronized dividing cell populations in tumors allow to identify constitutive origins, which we show are shared with high-fidelity between individuals and tumor types. Using a Smith–Waterman-like dynamic programming approach, we compared replication origin positions obtained from multiple different methods. The comparison allowed us to define a consensus set of replication origins, identified consistently by multiple ORI detection methods.

Conclusions

Many DNA features co-localized with the consensus set of ORI, including chromatin loop anchors, G-quadruplexes, S/MARs and CpGs. Among all features, the H2A.Z histone exhibited the most significant association. Our results show that mutation-based detection of replication origins is a viable approach to determining their location and associated sequence features.
AlphaTims: Indexing trapped ion mobility spectrometry – time of flight data for fast and easy accession and visualization
Authors: Willems Sander , Voytik Eugenia , Skowronek Patricia , Strauss Maximilian T. , Mann Matthias
Published: July 2021

High resolution mass spectrometry-based proteomics generates large amounts of data, even in the standard liquid chromatography (LC) – tandem mass spectrometry configuration. Adding an ion mobility dimension vastly increases the acquired data volume, challenging both analytical processing pipelines and especially data exploration by scientists. This has necessitated data aggregation, effectively discarding much of the information present in these rich data sets. Taking trapped ion mobility spectrometry (TIMS) on a quadrupole time-of-flight platform (Q-TOF) as an example, we developed an efficient indexing scheme that represents all data points as detector arrival times on scales of minutes (LC), milliseconds (TIMS) and microseconds (TOF). In our open source AlphaTims package, data are indexed, accessed and visualized by a combination of tools of the scientific Python ecosystem. We interpret unprocessed data as a sparse 4D matrix and use just-in-time compilation to machine code with Numba, accelerating our computational procedures by several orders of magnitude while keeping to familiar indexing and slicing notations. For samples with more than six billion detector events, a modern laptop can load and index raw data in about a minute. Loading is even faster when AlphaTims has already saved indexed data in a HDF5 file, a portable scientific standard used in extremely large-scale data acquisition. Subsequently, data accession along any dimension and interactive visualization happen in milliseconds. We have found AlphaTims to be a key enabling tool to explore high dimensional LC-TIMS-QTOF data and have made it freely available as an open-source Python package with a stand-alone graphical user interface at https://github.com/MannLabs/alphatims or as part of the AlphaPept ‘ecosystem’.

Highlights

Easy visualization and fast accession of LC-TIMS-QTOF data

Freely available graphical user interface, command-line interface and Python module on Windows, Linux and macOS.
Properties and interactions – melting point of tribromobenzene isomers
Authors: Bujak Maciej , Podsiadło Marcin , Katrusiak Andrzej
Published: July 2021

Single crystals of isomeric 1,2,3-tribromobenzene (123TBB), 1,2,4-tribromobenzene (124TBB) and 1,3,5-tribromobenzene (135TBB) have been grown from different solvents and their structures determined by X-ray diffraction at 100, 200 and 270 K. The melting-point differences of ca 40 K between 135TBB, 123TBB and 124TBB have been correlated with the molecular symmetry and packing preferences in the crystal, as well as with the main types of intermolecular halogen interactions, i.e. Br...Br, Br...C (Br...π) and Br...H. The relationship between symmetry and melting point in Carnelley's rule has been extended to the accessibility of terminal atoms for the formation of intermolecular interactions, their occurrences and distribution, and the close packing. The electrostatic potential mapped on molecular surfaces demonstrates that in more symmetric molecules the more evenly distributed substituents are more accessible and form more optimum intermolecular interactions.
Assessment of flight dynamic and static aeroelastic behaviors for jet transport aircraft subjected to instantaneous high g-loads
Authors: Wang Yonghu , Chang Ray C. , Jiang Wei
Published: July 2021

Purpose

The purpose of this paper is to present a quick inspection method based on the post-flight data to examine static aeroelastic behavior for transport aircraft subjected to instantaneous high g-loads.

Design/methodology/approach

In the present study, the numerical approach of static aeroelasticity and two verified cases will be presented. The non-linear unsteady aerodynamic models are established through flight data mining and the fuzzy-logic modeling of artificial intelligence techniques based on post-flight data. The first and second derivatives of flight dynamic and static aeroelastic behaviors, respectively, are then estimated by using these aerodynamic models.

Findings

The flight dynamic and static aeroelastic behaviors with instantaneous high g-load for the two transports will be analyzed and make a comparison study. The circumstance of turbulence encounter of the new twin-jet is much serious than that of four-jet transport aircraft, but the characteristic of stability and controllability for the new twin-jet is better than those of the four-jet transport aircraft; the new twin-jet transport is also shown to have very small aeroelastic effects. The static aeroelastic behaviors for the two different types can be assessed by using this method.

Practical implications

As the present study uses the flight data stored in a quick access recorder, an intrusive structural inspection of the post-flight can be avoided. A tentative conclusion is to prove that this method can be adapted to examine the static aeroelastic effects for transport aircraft of different weights, different sizes and different service years in tracking static aeroelastic behavior of existing different types of aircraft. In future research, one can consider to have more issues of other types of aircraft with high composite structure weight.

Originality/value

This method can be used to assist airlines to monitor the variations of flight dynamic and static aeroelastic behaviors as a complementary tool for management to improve aviation safety, operation and operational efficiency.
The culture of gifting with the emergence of online tourism experiential gift-giving
Authors: Gardiner Sarah , Bec Alexandra
Published: July 2021

Purpose

This study aims to explore the evolution of the culture agapic (personal) gift-giving with the advent of new online gifting platforms that provide the opportunity to gift tourism experiences. This study investigates this well-established cultural behavior in view of this new form of social exchange.

Design/methodology/approach

Focus group interviews with two key target markets – mothers and couples/singles – were conducted (N = 39). Interview questions focused on understanding gifting using online platforms, sharing the experience and the role of various parties in the exchange.

Findings

This study reveals that experiential tourism gifts differ from physical gifts because they offer novelty and symbolic value, heighten positive emotions and have the potential to create lifelong memories for recipients. However, giving an experiential gift can also be a risky option because of the uncertainty of getting the gift–recipient identity match correct, particularly for adventure tourism gifts. The identity of the gift-giver is also considered in gift selection as the experience selected is a reflection of self.

Practical implications

It is recommended that online experiential gifting platforms pay attention to both the identity of the gift-giver and gift-recipient. Sharing the experience through social media posts can reinforce both parties’ social identity, create a positive social exchange and may motivate repeat purchase.

Originality/value

To the best of the authors’ knowledge, this is the first study to uncover the motivational factors of online tourism experiential gifting as part of the culture of gift-giving and the parties in this exchange. The findings advance theoretical understanding of this new form of social exchange.
Is the new issue puzzle real? Evidence from implied cost of capital
Authors: Han Snow
Published: July 2021

Purpose

This study aims to provide new explanation of the new issue puzzle.

Design/methodology/approach

This study uses market implied cost of capital (ICC), rather than ex post realized returns, as proxy for ex ante expected returns, and sheds new light on the question why initial public offering (IPO) firms underperform the market within a 3–5 years period after the offerings.

Findings

Using ICC, the author finds that the market expects to earn higher risk premium for new listing firms than similar firms, which is contradictory to the documented new issue puzzle. The higher expected returns come from higher idiosyncratic volatility for newly listed firms, which are young and have more growth opportunities. The author also reports that investors are negatively surprised by lower-than-expected performances of newly listed firms.

Originality/value

The author’s results provide new empirical evidence that the new issue puzzle does not exist. Previous results observed IPO firms' under-performance is attributable to that ex post realized returns are a noisy proxy for ex ante expected returns, especially for newly listed firms with limited information.
Dark triad and situational variables and their relationship to career success and counterproductive work behaviors among employees in Turkey
Authors: Cohen Aaron , Özsoy Emrah
Published: July 2021

Purpose

The purpose of this paper is to examine the relationship between dark triad personality (DTP) and organizational and individual counterproductive work behaviors (CWB) and perceived career success among employees in Turkey. Additionally, the study examined the effects of four situational variables: perceived organizational politics, transparency, psychological contract breach, and accountability.

Design/methodology/approach

Data were collected from 156 employees across five service organizations in Sakarya, Turkey, using the survey method.

Findings

The regression analysis findings showed that the three traits of the DTP, Machiavellianism, and psychopathy were significantly related to both organizational and interpersonal dimensions of the CWB. Narcissism was not related to any of the dimensions of CWB. The findings showed no significant relationship between any of the four situational variables and the two forms of CWB. However, three of the situational variables were related to perceived career success, while the three dimensions of DTP were not.

Research limitations/implications

The main limitations of this study are its cross-sectional design and the self-reported measures of the dependent variables. Interestingly, the study showed that having high levels of DTP does not necessarily promote their careers.

Originality/value

This study contributes to examining career success as a dependent variable in addition to CWB. The findings showed that situational variables are related to career success, and DTP is related to CWB. This finding has both conceptual and practical implications.
Expanding understanding of family social capital in crowdfunding of migrant entrepreneurial ventures
Authors: Arshad Nadia , Berndt Adele
Published: July 2021

Purpose

The purpose of this study is to understand the role of the migrant entrepreneur’s social capital and specifically their family social capital in the success of their crowdfunding ventures.

Design/methodology/approach

This paper develops an exploratory single case study of the Persu Bag started by a Chinese migrant entrepreneur in the USA, which was documented through in-depth interviews, email communication, social media interactions and secondary documents publicly available. This paper draws on crowdfunding and social capital literature to fulfil the purpose and adopt the perspective of the migrant entrepreneur in the study.

Findings

The study shows that the crowdfunding migrant entrepreneur’s family network contributes with their operand and operant resources from both the country of residence and country of origin. Besides having financial capacity, institutional knowledge and experience from both the host and home countries, the family network in both countries make the crowdfunding immigrant entrepreneur’s families more resourceful, providing additional benefits to the crowdfunding migrant entrepreneurs in the development of the campaign and crowdfunded venture.

Originality/value

This study broadens the understanding of the ways migrant entrepreneurs can rely on their family social capital for building financial capacity and starting a crowdfunded venture.
Key driving factors of cost overrun in highway infrastructure projects in Nigeria: a context-based perspective
Authors: Mahmud Abba Tahir , Ogunlana Stephen O. , Hong W.T.
Published: July 2021

Purpose

Extensive research towards identifying the attributable cost overrun factors globally has been conducted predominantly from a survey-oriented perspective, which disregard the contextual basis on which these triggers manifest. This study aims to explore the driving factors of cost overrun in highway projects, specific to the Nigerian context.

Design/methodology/approach

The research used a context-based approach to seek project stakeholders’ perspectives on the key drivers of cost overrun in highway projects in Nigerian. Semi-structured interviews were conducted with client, contractor and consultant organisations involved in the provision of highway infrastructure projects in Nigeria. The collected data was analysed using a developed coding framework grounded on a case study approach, principles of inductive thematic analysis and saliency analysis to identify the key drivers.

Findings

Findings from the analysis identified triggers from macroeconomic, societal, leadership and project management perspectives with synergistic relationships with each other based on prevalence and significance. Among the key triggers is a delay in work progress, political instability, adverse weather, social issues, delay in progress payment to contractors and modification of project scope. In conclusion, the triggers of cost overrun in highway projects are contextually driven by the complex nature of the project management, societal, macroeconomic and leadership triggers specific to the Nigerian context.

Research limitations/implications

The research was limited to only highway infrastructure projects in Nigeria. Furthermore, the findings are based on a small sample size, and thus, caution must be taken before applying the outcome of this study in a generalised way to other contexts.

Practical implications

Practically, the stakeholders i.e. client, contractors and consultants should acknowledge the contextual circumstances in which each of the triggers takes place, which will aid in developing pragmatic measures and make the right decisions towards addressing these triggers during any highway construction project in Nigeria and enhance the chances of project success.

Originality/value

The context-based approach applied in this study is expected to provide a new insight in understanding the triggers of cost overruns, especially in highway projects in Nigeria and indeed other developing countries with similar governance characteristics
Revisiting the impact of VR applications on hotel bookings
Authors: Yoon Sungsik , Erdem Mehmet , Schuckert Markus , Lee Patrick C.
Published: July 2021

Purpose

The current study aims to investigate hotel guests’ intention to use virtual reality (VR) and willingness to pay more for hotels that have VR applications (e.g. virtual room tour) when booking a hotel.

Design/methodology/approach

Through a theoretical lens of stimuli–organism–response (S-O-R), relationships among an individual’s performance expectancy, effort expectancy, social influence, utilitarian motivation, hedonic motivation, perceived value, intention to use VR and willingness to pay more for VR were tested using partial least square-structural equation modeling.

Findings

Performance expectancy, social influence, utilitarian motivation and hedonic motivation affect the perceived value of VR. An individual’s perceived value of VR affects his/her intention to use VR and willingness to pay more for a hotel that has VR contents (e.g. virtual room tour) available during the hotel booking process.

Originality/value

Through the S-O-R framework, this study provided insights into hotel guests’ intention to use VR and explored how their intentions lead to their willingness to pay more for a hotel if VR is available during the reservation or hotel selection process.
Exploring the socio-cultural aspects of e-learning delivery in Saudi Arabia
Authors: Luppicini Rocci , Walabe Eman
Published: July 2021

Purpose

This study aims to explore the socio-cultural aspects of e-learning delivery in Saudi universities from the perspectives of universities’ instructors and expert designers from the Ministry of Education. More specifically, this study examined the opportunities and challenges faced in the development of online learning environments at Saudi universities from a socio-cultural perspective.

Design/methodology/approach

This qualitative research study addressed pervasive socio-cultural challenges connected to e-learning delivery in Saudi Arabia. Data collection methods consisted of 28 in-depth insider expert interviews as well a thematic analysis of documents related to socio-cultural aspects of e-learning delivery in Saudi Arabia.

Findings

Findings from the data analysis uncovered two main thematic areas connected to e-learning delivery in Saudi Arabia, namely, culture and female access to e-learning.

Research limitations/implications

This research contributes original knowledge to international online learning research about the social and cultural complexity connected to online learning development in Saudi Arabia, as well as in other areas of the Arabic world where similar e-learning development initiatives are underway.

Practical implications

This research contributes original knowledge to international online learning research about the social and cultural complexity connected to online learning development in Saudi Arabia, as well as in other areas of the Arabic world where similar e-learning development initiatives are underway.

Social implications

This research contributes unique knowledge about the social and cultural complexity connected to online learning development in Saudi Arabia, as well as in other areas of the Arabic world where similar e-learning development initiatives are underway.

Originality/value

The interaction between Saudi culture and online learning has nurtured a unique learning model that adapts to cultural values to provide a quality learning experience.
The impact of knowledge flows on asset specificity from the perspective of open innovation
Authors: Zheng Feihu , Jiao Hao , Gu Junyi , Moon Hwy-Chang , Yin Wenyan
Published: July 2021

Purpose

This study aims to examine how different modes of knowledge flows affect the changes of asset specificity and how ownership control moderates the relationship between knowledge flows and asset specificity in the open innovation paradigm.

Design/methodology/approach

This paper selects information technology outsourcing as the research base. It uses the feasible weighted least squares modeling method for its analysis and has collected the data from 2,369 research and development contracts of multinational vendor firms in China.

Findings

The coupled and outbound knowledge flows have a direct and positive effect on asset specificity. Moreover, the results show that weak corporate control has significant moderating effects on the relationship between both coupled and outbound knowledge flows and asset specificity; the strong control positively moderates the relationship between outbound knowledge flows and asset specificity.

Practical implications

In open innovation, firms build a higher degree of asset specificity to maximize the efficiency of knowledge flows, which then helps them to enhance innovation capacity and market performance.

Originality/value

Preceding studies have tended to examine the influences of asset specificity as an independent variable in a closed innovation paradigm. Asset specificity is hence often left as the antecedent “black box.” This paper, however, opens the “black box” of asset specificity, which is set as a dependent variable, by investigating the influences of knowledge flows on the asset specificity in the context of open innovation. It also reinterprets the role of asset specificity by adopting the lens of open innovation theory.
Data quality issues leading to sub optimal machine learning for money laundering models
Authors: Gupta Abhishek , Dwivedi Dwijendra Nath , Shah Jigar , Jain Ashish
Published: July 2021

Purpose

Good quality input data is critical to developing a robust machine learning model for identifying possible money laundering transactions. McKinsey, during one of the conferences of ACAMS, attributed data quality as one of the reasons for struggling artificial intelligence use cases in compliance to data. There were often use concerns raised on data quality of predictors such as wrong transaction codes, industry classification, etc. However, there has not been much discussion on the most critical variable of machine learning, the definition of an event, i.e. the date on which the suspicious activity reports (SAR) is filed.

Design/methodology/approach

The team analyzed the transaction behavior of four major banks spread across Asia and Europe. Based on the findings, the team created a synthetic database comprising 2,000 SAR customers mimicking the time of investigation and case closure. In this paper, the authors focused on one very specific area of data quality, the definition of an event, i.e. the SAR/suspicious transaction report.

Findings

The analysis of few of the banks in Asia and Europe suggests that this itself can improve the effectiveness of model and reduce the prediction span, i.e. the time lag between money laundering transaction done and prediction of money laundering as an alert for investigation

Research limitations/implications

The analysis was done with existing experience of all situations where the time duration between alert and case closure is high (anywhere between 15 days till 10 months). Team could not quantify the impact of this finding due to lack of such actual case observed so far.

Originality/value

The key finding from paper suggests that the money launderers typically either increase their level of activity or reduce their activity in the recent quarter. This is not true in terms of real behavior. They typically show a spike in activity through various means during money laundering. This in turn impacts the quality of insights that the model should be trained on. The authors believe that once the financial institutions start speeding up investigations on high risk cases, the scatter plot of SAR behavior will change significantly and will lead to better capture of money laundering behavior and a faster and more precise “catch” rate.
Balancing between accountability and autonomy: the impact and relevance of public steering mechanisms within higher education
Authors: Kallio Tomi J. , Kallio Kirsi-Mari , Huusko Mira , Pyykkö Riitta , Kivistö Jussi
Published: July 2021

Purpose

This article studies the tensions between universities' accountability and autonomy in response to the demands of public steering mechanisms coordinating higher education institutions.

Design/methodology/approach

Demonstrating the tension between accountability and autonomy, the impact and relevance of public steering mechanisms coordinating higher education are studied via a survey with selected representative Finnish universities. The response rate was an exceptionally high 94%. In addition to the statistical analysis of the survey, open-ended questions were also analyzed to give a more in-depth understanding of the findings. The study uses paradox theory and institutional complexity as its theoretical lenses.

Findings

The empirical analysis of this study shows a considerable gap between the experienced impact and the experienced relevance of the steering mechanisms in higher education. The authors’ further analysis of the open-ended data shows that indicator-based funding allocation has undermined the perceived university autonomy. The authors highlight the paradoxical tensions of university autonomy and higher education institutions' steering mechanisms' requirement for accountability. Finding an acceptable balance between accountability and institutional autonomy plays an important role in designing higher education policies.

Originality/value

The authors found that even if a steering mechanism is experienced as impactful, it is not necessarily considered relevant. One of the key aspects in understanding the reasons behind this mismatch is related to university autonomy. Most impactful steering mechanisms become considered less relevant because they also endanger institutional autonomy. In this sense, it could be expected that steering mechanisms should better balance accountability and autonomy.