bluuebunny/crossref_metadata_2025_split huggingface dataset:
miR targetome of primary human keratinocytes reveals a function for non-conserved binding sites
Authors: Thiagarajan Lalitha , Zhang Jingqing , Griffiths-Jones Sam , Kurinna Svitlana 
Published: July 2022

ABSTRACTThe homeostasis of the human body is protected by the skin, where the process of keratinocyte differentiation in outer layers has a crucial role. Cessation of proliferation in the basal layer of keratinocytes and initiation of their subrabasal functions are tightly controlled at the level of gene transcription and message translation. A subset of mRNAs has to be repressed during differentiation, and microRNAs are known to contribute to this by directly binding mRNAs at the 3’UTRs. Using results of RNA sequencing from human primary keratinocytes during induced differentiation, we evaluated the predicted binding of highly, moderately, and lowly expressed miRs to their target mRNAs. We found that moderately expressed miRs can regulate more mRNAs, and that they do so using both conserved and non-conserved canonical binding. The cumulative score for the majority of repressed mRNAs revealed a surprisingly weak binding to miRs, and we found a significant contribution of non-conserved sites to the repression of the targets. While the presence of at least one conserved site was necessary for the miR function, its weak binding may be reinforced by a non-conserved site. Together, we found that the combination of conserved and non-conserved sites lower the binding threshold for miR-mRNA interactions to assume a tighter repression of the mRNA target during cell differentiation.
Negative goodwill and postmerger operating performance: evidence from Japan
Authors: Amano Yoshiaki 
Published: July 2022

PurposeThis study examines the relation between negative goodwill (NGW) and operating performance after mergers and acquisitions (M&A).Design/methodology/approachThis is a comparative analysis of post-M&A operating performance for 228 transactions involving listed Japanese firms that generated negative or positive goodwill.FindingsFirst, post-M&A operating performance is lower when the transaction generates NGW. Second, the negative relation between NGW and post-M&A performance is stronger when managers have incentives for earnings management and when target firms perform poorly before M&A. Third, changes in the accounting treatment of NGW alter the relative importance of earnings management incentives and target firms' poor pre-M&A performance.Originality/valuePrior studies attribute the negative relation between NGW and post-M&A performance solely to acquiring firms' managers' earnings management incentives. The current study finds that the target firm's poor pre-M&A performance is also associated with the relation between NGW and post-M&A performance.
The role of perceived usefulness and annoyance on programmatic advertising: the moderating effect of Internet user privacy and cookies
Authors: Núnez-Barriopedro Estela , Cuesta-Valiño Pedro , Mansori-Amar Sara 
Published: July 2022

PurposeThe study of the background to programmatic advertising is of great interest in the context of digital marketing. Therefore, the main aim of this research is to define a structural equation modelling (SEM) model, which allows studying the relationship between the usefulness and privacy of online ads to increase the effectiveness and efficiency of campaigns through the use of computation and big data.Design/methodology/approachA cross-sectional descriptive study based on the Web Browsers Survey was carried out on a sample of 24,062 Internet users by the Association for Media Research. The partial least squares structural equation modelling method (PLS-SEM) was applied to evaluate the model with the study constructs and test the hypotheses.FindingsThe result of this research allows us to know how perceived usefulness (U) and perceived annoyance (A) affect users' privacy concerns (P) and concerns about the storage and use of their data through cookies (C). The authors also seek if there is any relationship between privacy concerns (P) and cookies (C) on users' level of Internet usage (IU).Originality/valueOne of the novelties of this study is the consideration not only of Internet user perceptions but also their concerns about privacy and the use of cookies, as key variables in the strategic management of the use of programmatic advertising in digital marketing.
Stimulating product and process innovation through HRM practices: the mediating effect of knowledge management capability
Authors: Than Son Thanh , Le Phong Ba , Le Thai Phong , Nguyen Dung Thi Nguyet 
Published: July 2022

PurposeThis study aims to investigate the influence of human resource management (HRM) practices on two aspects of innovation capability namely product and process innovation. It also attempts to clarify the HRM-innovation relationship by examining the mediating roles of specific components of knowledge management capability (KMC) namely knowledge acquisition, knowledge sharing and knowledge application.Design/methodology/approachThis research used the quantitative method and structural equation modeling (SEM) approach to examine hypotheses with data obtained by survey from 325 participants in 98 Vietnamese firms.FindingsThe empirical findings show the evidence on the mediating roles of components of KMC in the HRM-innovation relationship and indicate that HRM practices have a greater impact on product innovation compared to its effects on process innovation. In contrast, all three components of the KMC produce larger impacts on process innovation than on product innovation. In particular, it highlights the key role of knowledge sharing in predicting product and process innovation in comparison to the roles of knowledge acquisition and knowledge application.Practical implicationsCEOs/managers should practice and manage their human resource to foster organizational capability for product and process innovation directly or indirectly via enhancing aspects of KMC namely knowledge acquisition, sharing and application.Originality/valueBy investigating the mediating mechanisms of specific components of KMC, the paper has significantly contributed to advancing the body of knowledge of innovation theory and providing deeper insights on the correlation between HRM practices and aspects of innovation capability namely product and process innovation.
The impact of international trade on the price of solar photovoltaic modules: empirical evidence
Authors: Hajdukovic Ivan 
Published: July 2022

PurposeOver the past decades, the global solar photovoltaic (PV) market has experienced an unprecedented development associated with a substantial decline in solar PV module prices. A body of literature has attempted to identify and evaluate the different sources of price variation. However, the impact of international trade on the price of solar PV modules has not yet been empirically examined. This paper contributes to filling this gap in the literature by providing a comprehensive empirical examination on the relationship between international trade and solar PV module prices.Design/methodology/approachThe author uses a sample of 15 countries over the period 2006–2015 and proposes a linear dynamic panel data model based on a new specification, including a number of relevant factors influencing solar PV module prices.FindingsThe empirical analysis reveals that an increase in imports of solar PV cells and modules is associated with a decline in solar PV module prices. This finding suggests that international trade could lead to further price reductions, thus fostering the deployment of solar PV technology. The study reveals several other important findings. Market and technological development are key factors explaining the decline in solar PV module prices. Moreover, government policies such as public budget for R&D in PV and feed-in tariff for solar PV are effective in reducing the price of solar PV modules.Originality/valueThis paper examines the influence of international trade, government policies, market development and technological development on solar PV module prices. The results may be of interest to both academic research and policy analysis.
IFRS experience and earnings quality in the GCC region
Authors: Al-Enzy Nasser S. Kh. , Monem Reza , Nahar Shamsun 
Published: July 2022

PurposeThis paper aims to examine the association between the adoption experience of the International Financial Reporting Standards (IFRS) and the quality of reported earnings in the Gulf Cooperation Council (GCC) region – a region that exhibits several features of emerging economies.Design/methodology/approachThe authors analyse a hand-collected dataset of 222 firms across 4 countries in the GCC region over the period 2012–2017 and measure “IFRS experience” as the number of years since a country has mandatorily adopted the IFRS. In measuring earnings quality, the authors focus on two properties of reported earnings: persistence and accruals quality and employ multivariate regression models based on two-way cluster-robust standard errors and fixed-effects.FindingsThis study’s findings suggest that earnings persistence is decreasing, and discretionary accruals are increasing in IFRS experience in the GCC region over the period 2012–2017. The authors conclude that reported earnings quality has declined following IFRS adoption in this sample.Research limitations/implicationsThe authors contribute to the IFRS literature in the GCC region, which is in its infancy.Practical implicationsThis study’s findings have important policy implications for countries that are about to adopt or are in the early implementation stage of IFRS and suggest that strong enforcement of accounting standards along with improvement in the institutional environments might be needed for improving financial reporting quality.Originality/valueThe authors provide the first cross-country evidence on the relation between IFRS adoption in the GCC region and earnings quality. Moreover, unlike most prior studies, the authors employ a continuous measure that is superior to a binary measure in capturing the effect of IFRS adoption.
Values that drive desire: examining determinants of mobile promotion satisfaction
Authors: Hsieh Sara H. , Lee Crystal T. 
Published: July 2022

PurposeMobile promotion has become an important and popular mechanism for mobile commerce, with many companies using this approach to increase sales and drive brand satisfaction toward the use of mobile apps. Despite the crucial nature of this topic, knowledge on the value of mobile promotion remains insufficient. Drawing upon consumption value theory (CVT), this study aims to examine the underlying mechanism that drives app satisfaction and in-app purchase.Design/methodology/approachIn this research, the authors selected retail mobile apps for empirical testing. The authors recruited 476 users to complete a survey and analyzed the results using partial least squares structural equation modeling.FindingsThe results revealed that functional (monetary savings and localization), social (self-expression), emotional (entertainment), epistemic (exploration) and conditional (personalization) value increase the desirability of mobile promotion, thereby facilitating app satisfaction and in-app purchase.Originality/valueAmid the vast business opportunities of mobile commerce, numerous brands have developed mobile apps that function as platforms for the promotion, provision and purchase of products and services. With the prevalence of mobile app downloads, apps have become the primary mobile platform for conducting mobile promotion. This research contributes to the literature and offers retailers insight into how to create value that can increase app satisfaction and in-app purchasing through mobile promotion.
Multidisciplinary design optimization of engineering systems under uncertainty: a review
Authors: Meng Debiao , Yang Shiyuan , He Chao , Wang Hongtao , Lv Zhiyuan , Guo Yipeng , Nie Peng 
Published: July 2022

PurposeAs an advanced calculation methodology, reliability-based multidisciplinary design optimization (RBMDO) has been widely acknowledged for the design problems of modern complex engineering systems, not only because of the accurate evaluation of the impact of uncertain factors but also the relatively good balance between economy and safety of performance. However, with the increasing complexity of engineering technology, the proposed RBMDO method gradually cannot effectively solve the higher nonlinear coupled multidisciplinary uncertainty design optimization problems, which limits the engineering application of RBMDO. Many valuable works have been done in the RBMDO field in recent decades to tackle the above challenges. This study is to review these studies systematically, highlight the research opportunities and challenges, and attempt to guide future research efforts.Design/methodology/approachThis study presents a comprehensive review of the RBMDO theory, mainly including the reliability analysis methods of different uncertainties and the decoupling strategies of RBMDO.FindingsFirst, the multidisciplinary design optimization (MDO) preliminaries are given. The basic MDO concepts and the corresponding mathematical formulas are illustrated. Then, the procedures of three RBMDO methods with different reliability analysis strategies are introduced in detail. These RBMDO methods were proposed for the design optimization problems under different uncertainty types. Furtherly, an optimization problem for a certain operating condition of a turbine runner blade is introduced to illustrate the engineering application of the above method. Finally, three aspects of future challenges for RBMDO, namely, time-varying uncertainty analysis; high-precision surrogate models, and verification, validation and accreditation (VVA) for the model, are discussed followed by the conclusion.Originality/valueThe scope of this study is to introduce the RBMDO theory systematically. Three commonly used RBMDO-SORA methods are reviewed comprehensively, including the methods' general procedures and mathematical models.
Social media marketing system: conceptualization, scale development and validation
Authors: Varela-Neira Concepción , Dwivedi Yogesh K. , Camoiras-Rodriguez Zaira 
Published: July 2022

PurposeUnderstanding what organizational factors enable a successful social media presence is a relevant issue for academics and practicing managers. The purpose of this investigation is to thus develop and validate a scale to measure a social media marketing system (SMMS).Design/methodology/approachThis paper follows a rigorous scale development process based on three stages: item generation, measurement development and instrument testing. The validity and reliability tests were conducted using data provided by social media managers and the managers' supervisors.FindingsThe results validate a 25-item multidimensional SMMS scale that exhibits adequate internal consistency, reliability, construct validity and nomological validity. The results also show that the SMMS scale positively correlates with outcomes that are key to firm success (social media strategy success and marketing performance).Originality/valueThis paper conceptualizes SMMS through four dimensions, namely formalization, human resource management, co-creation and marketing planning, and the paper associates SMMS to important firm outcomes. The newly developed measurement instrument adds to the small repository of research scales relevant to social media and can serve as a springboard from which future work can understand social media from both an internal management perspective and an integrated outlook.
Online course quality evaluation from the perspective of knowledge management: analysis of online reviews
Authors: Shang Shanshan , Du Chenhui 
Published: July 2022

PurposeWith the increasing popularity of online courses, their quality has become a public concern. Based on the perspective of knowledge management, this study aims to identify comprehensive and granular quality factors of online courses and analyze the relationships between the factors.Design/methodology/approachFollowing the principles of the grounded theory, interpretive structural modeling and cross-impact matrix multiplication applied to classification (MICMAC) analysis methods, this research uses reviews and comments garnered from Zhihu, which is the most popular online question-and-answer community in China, to conduct the analysis.FindingsBased on the text data, 50 factors that potentially affect the quality of online courses are obtained. The analysis identifies the hierarchical relationships and dependent correlations between the factors.Originality/valueThe research uses the knowledge transformation model to classify content elements according to their degree of descriptiveness and provides practical and effective suggestions for improving the quality of online courses.
Floods and economic growth in India: role of FDI inflows and foreign aid
Authors: Kumar Pushp , Kumari Neha , Sahu Naresh Chandra 
Published: July 2022

PurposeThe paper aims to examine the effects of floods on economic growth in India from 1980 to 2019, taking into account the role of foreign direct investment (FDI) inflows and foreign aid.Design/methodology/approachThe study uses augmented Dickey–Fuller (ADF) and Phillip–Perron (PP) tests to determine the stationarity of the variables. Several models, including autoregressive distributed lag (ARDL), fully modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS) and canonical cointegration regression (CCR), are used to examine the impact of floods on economic growth.FindingsThe bounds test determines the long-term relationship between floods, FDI inflows, economic growth and foreign aid. According to the ARDL and FMOLS models, floods have a negative long-term and short-term impact on India’s economic growth. Furthermore, FDI inflows and foreign aid are beneficial to economic growth. The findings of the ARDL and FMOLS models are confirmed by the DOLS and CCR models. Granger causality establishes a unidirectional causality that extends from floods to economic growth. Further diagnostic tests show that the estimates are free of heteroskedasticity, serial correlation and parameter instability.Practical implicationsIndian government needs to invest more in research and development on flood management techniques. Institutional strengthening is also required to implement pre- and post-flood prevention measures properly. Sound disaster financing strategy and proper water bodies management should be prioritised. Foreign investment opportunities should be encouraged by strengthening international relations.Originality/valueThis is the first time-series study that analysed the effects of floods on economic growth in India. Moreover, the paper contributes to floods literature by applying several econometric models for robustness check.
Historical corruption in a ‘non-corrupt’ society: Aotearoa New Zealand
Authors: Gregory Robert , Zirker Daniel 
Published: July 2022

PurposeThe purpose of this paper is to reconsider, from a historical perspective, New Zealand’s reputation as a country largely without corruption, with particular reference to the colonial government’s confiscation of Māori land in the 19th century and beyond.Design/methodology/approachThis paper is based on published historical commentary.FindingsThe findings are that much of the Māori land confiscation was rendered legal for illegitimate purposes, and that the colonial and successive New Zealand governments abrogated the country’s foundational document, the Treaty of Waitangi, signed between the colonial government and many Māori chiefs in 1840. Adverse consequences for Māori have been felt to this day, despite the Treaty settlements process that began with the Māori renaissance in the mid-1970s.Originality/valueThe academic analysis of corruption in New Zealand has seldom if ever adopted this historical perspective.
Soil transfers from intact to disturbed boreal forests neither alter ectomycorrhizal fungal communities nor improve pine seedling performance
Authors: Rodriguez‐Ramos Jean C. , Cale Jonathan A. , Cahill James F. , Erbilgin Nadir , Karst Justine 
Published: July 2022

Abstract

Forest disturbances can alter mycorrhizal fungal communities with consequences for subsequent plant establishment and growth. One possible mitigation strategy to promote forest recovery following disturbances is inoculation with soil from late‐successional forests. However, whether these soil transfers change the composition of resident fungal communities and how seedling growth responds to such transfers is unknown.

To test whether soil transfers can mitigate disturbance‐mediated impacts on ectomycorrhizal fungal (EMF) communities, we transferred soils containing fungal inoculum collected from conspecific late‐successional forests into stands disturbed by wildfire, mountain pine beetle outbreak, clear‐cut logging or salvage logging. Afterward, lodgepole pine seeds were sown to measure germination, establishment and growth of seedlings, and to characterize root‐associated and soil EMF communities by sequencing the ITS1 rDNA region.

Despite evidence that soil inocula contained viable EMF communities, transfers did not impact the root‐associated or soil EMF community composition, or seed germination, seedling establishment and growth. Resident EMF community composition remained unchanged upon transfers of fungi from late‐stage successional forests, and disturbance type singularly explained the EMF community composition associated with roots and soils.

Ectomycorrhizal fungal taxa typically associated with mature pine forests were particularly abundant on roots of seedlings growing in plots impacted by beetle outbreak, while ‘early‐stage’ EMF taxa were associated with seedlings growing in wildfire and logging disturbances.

Synthesis and applications. Following disturbances, soil and root‐associated EMF exhibit high functional redundancy, as seedling performance did not vary with differences in EMF community composition across disturbance types. Our findings suggest that soil transfers are unlikely to be an effective strategy in these stands and may be better targeted to highly degraded forests. The presence and abundance of EMF in disturbed forests should be assessed before committing to soil transfers as part of restoration.
The price effects of greening vacant lots: How neighborhood attributes matter
Authors: Lin Desen , Jensen Shane T. , Wachter Susan M. 
Published: July 2022

AbstractWe identify the effects of greening vacant lots on nearby housing prices and show how neighborhood attributes matter to these outcomes. Using data from a longstanding program in Philadelphia, we find that prices for houses within 1,000 feet of a greened vacant lot rise by about 4%, consistent with the literature, with the effect size increasing over time. Using the extensive data available in Philadelphia, we show how these effects vary by the attributes of the neighborhood in which they occur, with larger effects in areas with a high share of vacant land and higher‐than‐average median household incomes, with peak responses estimated at 19% and 15%, respectively. We demonstrate the importance of sample selection bias adjustment for identification of the effect of vacant lot greening.