bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comprehensive in silico investigation into the nsSNPs of Drd2 gene predicts significant functional consequences in dopamine signaling and pharmacotherapy
Authors: Lira Samia Sultana , Ahammad Ishtiaque 
Published: June 2021

AbstractDRD2 is a neuronal cell surface protein involved in brain development and function. Variations in the Drd2 gene have clinical significance since DRD2 is a pharmacotherapeutic target for treating psychiatric disorders like ADHD and schizophrenia. Despite numerous studies on the disease association of single nucleotide polymorphisms (SNPs) in the intronic regions, investigation into the coding regions is surprisingly limited. In this study, we aimed at identifying potential functionally and pharmaco-therapeutically deleterious non-synonymous SNPs of Drd2. A wide array of bioinformatics tools was used to evaluate the impact of nsSNPs on protein structure and functionality. Out of 260 nsSNPs retrieved from the dbSNP database, initially 9 were predicted as deleterious by 15 tools. Upon further assessment of their domain association, conservation profile, homology models and inter-atomic interaction, the mutant F389V was considered as the most impactful. In-depth analysis of F389V through Molecular Docking and Dynamics Simulation revealed a decline in affinity for its native agonist dopamine and an increase in affinity for the antipsychotic drug risperidone. Remarkable alterations in binding interactions and stability of the protein-ligand complex in simulated physiological conditions were also noted. These findings will improve our understanding of the consequence of nsSNPs in disease-susceptibility and therapeutic efficacy.
Dynamic accountability and the role of risk reporting during a global pandemic
Authors: Crovini Chiara , Schaper Stefan , Simoni Lorenzo 
Published: June 2021

PurposeThis article lays out some conceptual considerations of how dynamic accountability and risk reporting practices could be tailored during and after a global pandemic.Design/methodology/approachThis conceptual paper seeks to foster the debate on the crucial role of risk reporting considering the impact and uncertainty caused by the coronavirus disease 2019 (COVID-19) pandemic and stakeholder information needs in this context. The authors draw upon neo-Durkheimian institutional and legitimacy theories and elements of the accounting and risk management literature to discuss the challenges that the pandemic poses to risk recognition and assessment and the subsequent disclosure decision of risk information.FindingsRisk reporting has its roots in risk recognition and assessment. To live up to their accountability in these times of uncertainty, organisations need to address their stakeholders' new and changing information needs. Ad hoc disclosures and linking risk management and reporting to their business models (BM) would improve the risk recognition and assessment practices and the meaningfulness of the disclosed information. Hence, we provide some examples and discuss potential avenues to address these challenges and adapt risk reporting accordingly.Originality/valueThis conceptual paper contributes to the risk reporting and accountability research fields. Previous studies on communication during a crisis have focused on sustainability reporting. Thus, this study contributes to that literature by considering the role of risk reporting in times of an unexpected large-scale global crisis, such as the COVID-19 pandemic, and by highlighting possibilities for moving risk reporting towards becoming more accountability based.
An evolutionary computational method to formulate the response of unbonded concrete overlays to temperature loading
Authors: Zhang Qianyun , Vandenbossche Julie M. , Alavi Amir H. 
Published: June 2021

PurposeUnbonded concrete overlays (UBOLs) are commonly used in pavement rehabilitation. The current models included in the Mechanistic-Empirical Pavement Design Guide cannot properly predict the structural response of UBOLs. In this paper, a multigene genetic programming (MGGP) approach is proposed to derive new prediction models for the UBOLs response to temperature loading.Design/methodology/approachMGGP is a promising variant of evolutionary computation capable of developing highly nonlinear explicit models for characterizing complex engineering problems. The proposed UBOL response models are formulated in terms of several influencing parameters including joint spacing, radius of relative stiffness, temperature gradient and adjusted load/pavement weight ratio. Furthermore, linear regression models are developed to benchmark the MGGP models.FindingsThe derived design equations accurately characterize the UBOLs response under temperature loading and remarkably outperform the regression models. The conducted parametric analysis implies the efficiency of the MGGP-based model in capturing the underlying physical behavior of the UBOLs response to temperature loading. Based on the results, the proposed models can be reliably deployed for design purposes.Originality/valueA challenge in the design of UBOLs is that their interlayer effects have not been directly considered in previous design procedures. To achieve better performance predictions, it is necessary to capture the effect of the interlayer in the design process. This study addresses this important issue via developing new models that can efficiently account for the effects of interlayer on the stress and deflections. In addition, it provides an insight into the effect of several parameters influencing the deflections of the UBOLs. From a computing perspective, a powerful evolutionary computation technique is introduced that overcomes the shortcomings of existing machine learning methods.
Does venture capital help to promote open innovation practice? Evidence from China
Authors: Yi Rui , Wang Haojun , Lyu Bei , Xia Qinghua 
Published: June 2021

PurposeThe study aims to empirically study the effect of venture capital on open innovation of China's enterprises.Design/methodology/approachThis paper selects China's A-share listed companies on the small and medium-sized enterprises (SMEs) board and the Growth Enterprise Market from 2014 to 2018 as research samples to empirically study the effect of venture capital on open innovation of China's enterprises.FindingsThe authors find that venture capital can significantly promote open innovation of enterprises. This promoting effect is more significant when the venture capital institutions have profounder industry experience, higher shareholding ratio and are syndicated. Further research finds that venture capital mainly promotes open innovation through three mechanisms: increasing monetary funds, improving absorptive capacity and strengthening executive incentives, and the effect of venture capital on open innovation is significantly different under the conditions of different regions, industries and property rights.Originality/valueThis paper not only reveals the effect of venture capital on enterprises' open innovation and the specific mechanism, but also provides empirical evidence for emerging economies to build a national innovation ecosystem and make use of capital markets to accelerate innovation strategies.
“Sand” or “grease” effect? The impact of corruption on the investment volume of public−private partnerships
Authors: Fleta-Asín Jorge , Muñoz Fernando 
Published: June 2021

PurposeSome scholars argue that corruption hinders economies and investment because it generates extra costs, while others suggest that it can act as a stimulus. Their mixed empirical findings have prompted the analysis of whether investors' attitude towards corruption changes depending on its degree of prevalence.Design/methodology/approachThe authors examined 4,518 public–private partnerships (PPPs) located in 46 developing countries for the period 1997–2017. The data were collected from the World Bank PPP database. The authors investigated the relationship between the amount of investment in PPP projects and the level of corruption using regression with multilevel mixed effects.FindingsCorruption and the amount of investment in PPP projects are inversely related at the low and high end of the spectrum of corruption, but the relationship is positive towards the middle. Further analysis revealed that this was spurred by high investment PPP projects in less developed countries.Originality/valueThe findings allow the authors to reconcile the opposing positions in the literature through a “sand–grease–sand the wheels” effect between the volume of investment and corruption, which can be configured as a reverse S-shape consisting of three stages.
Does healthcare service quality affect outbound medical tourists’ satisfaction and loyalty? Experience from a developing country
Authors: Mahmud Md. Shahed , Lima Reshma Pervin , Rahman Md. Mahbubar , Rahman Shafiqur 
Published: June 2021

Purpose
Poor quality of services in the health-care sector of the developing countries like Bangladesh forces affluent patients to seek advanced medical treatment from abroad. The purpose of this study is to explore the outbound medical tourists’ satisfaction and loyalty on the basis of the quality of the health-care service provided by foreign medical institutions.

Design/methodology/approach
The medical tourists from Bangladesh who have got medical services from Indian medical institutions were taken as a sample by applying a purposive sampling technique. For the measurement of outbound medical tourists’ satisfaction, the dimensions of the HEALTHQUAL model were adopted. A self-administrated questionnaire was the major tool for collecting data from the respondents. Using partial least square-structural equation model multivariate statistical technique and with the aid of SmartPLS software, primary data collected from 218 final respondents were analyzed.

Findings
The findings of this study reveal that four dimensions of the HEALTHQUAL model, namely, empathy, tangibility, efficiency, and safety have a significant positive impact on building medical tourists’ overall satisfaction, and then the overall satisfaction also has a positive level of significance on building loyalty towards foreign medical service providers.

Practical implications
The findings of this study can be a helpful instrument for the developing countries to rethink and reshuffle their own existing health-care system for providing quality medical services and at the same time, the medical tourists importing countries to sharpen their existing service quality as well as to attract more medical tourists in the future.

Originality/value
A handful of research has been carried out, especially focused on health-care service quality measurement and the relationship of health-care service quality with satisfaction and loyalty from the perspective of developing countries outbound medical tourists. Thus, this research work will give a flavor to think of health-care service quality in a different dimension.
Supply chain, geographical indicator and blockchain: provenance model for commodity
Authors: Sharma Mohita Gangwar 
Published: June 2021

PurposeMany commodity supply chains suffer from an unfair value distribution across the supply chain like “Coffee Paradox.” This study explores the coffee supply chain to determine how the country of origin–geographical indicator can be used as a method of fair distribution of value and provenance across the supply chain effectuated by the blockchain technology. By looking at an exemplar case study for India, this study provides insights into diverse research streams and practice.Design/methodology/approachBased on the case method, analyzing the implementation of blockchain in the coffee industry by a leading Indian software implementation of the logic, dynamics and forces for a provenance model has been devised. It further adopts a stakeholder cum institutional theory framework to understand the logical implementation of a blockchain project embedded in a territorial logic for a commodity supply chain.FindingsThis study specifically looks at coffee which is representative of a commodity supply chain. It also explores how the malaise of unfair value distribution gets addressed by bringing farmers and the consumers on a common platform facilitated by blockchain technology. This study contributes to the literature on blockchain, territory, commodity and supply chain. Using stakeholder cum institutional theory, this study helps to explore how the implementation is successful by different actors in the supply chain through collaboration.Research limitations/implicationsThis study provides a new stream of multi-disciplinary study at the interface of supply chain, technology, international trade and geography.Practical implicationsBlockchains are embedded in the supply chain, and supply chains are embedded in territories. This linkage is paramount and the ability to make these blockchain projects successful requires the deep study of the interaction of territory, technology and actors from the provenance angle. De-commodification of coffee can be actualized through blockchain.Social implicationsThe coffee paradox and skewed value distribution is also a social problem wherein the farmers do not get the right price of their produce and are exploited. This case also highlights how this social malaise can be addressed and rightful and equitable distribution of value happens across the value chain.Originality/valueThis linkage between territory, blockchain, commodity supply chain and institutions has not been discussed in the literature. Adopting the territorial design approach, this study is an attempt to stimulate inter-disciplinary conversations and thereby create a provenance framework for commodity and research questions for scholars from different disciplines and divergent disciplinary perspectives.
Are your customers grateful? How customer gratitude impacts loyalty programme effectiveness
Authors: Audrain-Pontevia Anne-Françoise , Garnier Isabelle 
Published: June 2021

PurposeThe purpose of this paper is to identify which loyalty programme (LP) benefits are most likely to create consumer gratitude and increase loyalty towards the brand for consumer goods and services loyalty schemes.Design/methodology/approachFrench-speaking Quebecer (Canada) members of retail LPs answered an online survey. The S-O-R framework was used to investigate the effects of LP benefits on customer loyalty to the brand through the mediating mechanism of gratitude. Data analysis was performed by means of partial least square structural equation modelling.FindingsThree benefits (entertainment, recognition and social) out of five were identified to significantly enhance customer gratitude towards the brand. Neither monetary nor exploration benefits had a direct effect on gratitude or loyalty. In addition, gratitude was positively and strongly related to loyalty and fully mediated the effects of entertainment and recognition benefits on loyalty. As for social benefits, gratitude complementarily mediated their relationship to loyalty.Practical implicationsThe findings are of utmost interest to LP managers. They offer valuable insights to maintain or modify LPs to enhance customer true loyalty. First, they highlight the strategic role of gratitude, which strongly determines customer loyalty. Second, this study's findings indicate which LP benefits should be prioritised to enhance customer gratitude and loyalty.Originality/valueThis research is the first empirical attempt to study the effects of LP perceived benefits on customer gratitude. It addresses the paucity of research on customer gratitude and enhances its importance in retail and relationship literature.
Experimental study of pin surface precision on lubrication behavior of pin–bush pairs in industrial roller chains
Authors: Zhang Ansheng , Zhang Mingyu , Wang Jing , Zhang Jianjun , Shang Zhaohua , Liu Yi , Dai Longjie 
Published: June 2021

Purpose
The purpose of this paper is to study the influence of surface precision on the lubrication state of the roller chain under adequate and rare oil supply conditions, respectively.

Design/methodology/approach
The straightness error and roughness error of the pin generatrices were measured and the influence of surface precision on the lubrication behavior under steady state and reciprocating motion was studied through optical interference experiments.

Findings
The lubrication state is strongly influenced by the surface precision of the roller surface both under adequate oil supply and rare oil supply conditions.

Originality/value
In industrial applications, the machining errors of parts cannot be completely eliminated. Studying the influence of the surface precision on the lubrication behavior of pin–bush pairs can provide the experimental basis for the optimal design of the bush roller chains.
Does intellectual capital have any influence on stock price crash risk?
Authors: Probohudono Agung Nur , Pratiwi Adelia Dyaning , Rochmatullah Mahameru Rosy 
Published: June 2021

PurposeThis paper explores the influence between intellectual capital (IC) and the risk of stock price crashes by using company performance as an intervening variable.Design/methodology/approachThis study empirically analyzes the impact of the efficiency of IC on stock price crash risk using a sample size of 152 companies listed on the Indonesia Stock Exchange (IDX) during 2018. To test the research hypotheses, regression analysis and path analysis were applied. In addition, the researchers added exploration to several studies to strengthen the results of this study.FindingsThis study’s findings indicate that investors' optimistic (pessimistic) sentiment regarding stock price volatility has obscured aspects of the financial performance of listed companies. This finding implies that investor sentiment has dominated influence on stock price crash risk so that the aspects of IC are obscured.Originality/valueThis research provides new information that IC disclosure in the stock market needs to include knowledge of the volatility of stock prices in order to reveal stock price crash risk.
Ethical leadership and organizational commitment: the dual perspective of social exchange and empowerment
Authors: Kim Dongkyu , Vandenberghe Christian 
Published: June 2021

PurposeGiven recent prominent ethical scandals (e.g. Tesla, Uber) and the increasing demand for ethical management, the importance of business ethics has recently surged. One area that needs further research regards how ethical leaders can foster followers’ organizational commitment. Drawing upon social exchange theory, the current research proposes that ethical leadership relates to follower affective and normative commitment through perceived organizational support (POS). Moreover, based on self-determination theory, we expected follower psychological empowerment to positively moderate the relationship between ethical leadership and commitment components.Design/methodology/approachData were collected using a three-wave study among employees from multiple organizations (N = 297) in Canada. Structural equations modeling and bootstrapping analyses were applied to test the hypotheses.FindingsThe results showed that ethical leadership was positively related to follower affective and normative commitment through POS. Furthermore, the relationship between ethical leadership and POS was stronger at high levels of empowerment. This moderating effect extended to the indirect relationship between ethical leadership and commitment components.Originality/valueThis study counts among the few investigations that have examined the mechanisms linking ethical leadership to followers’ organizational commitment and boundary conditions associated with this relationship. Moreover, our findings were obtained while controlling for transformational leadership, which highlights the incremental validity of ethical leadership.
Yesterday's workers in Tomorrow's world
Authors: Toshav-Eichner Nirit , Bareket-Bojmel Liad 
Published: June 2021

PurposeThis study sought to examine the attitudes of blue-collar workers toward job automation. The study examined the relations between job automation, fear of job loss and self-actualization.Design/methodology/approachUsing mixed methods (qualitative and quantitative analysis) with 539 participants overall, we examined employees' attitudes toward job automation through two separate studies conducted in a large public organization that employs blue-, white- and pink-collar employees. The blue-collar workers who participated consisted of waste collectors, gardeners and parking supervisors whose work is at risk of job automation.FindingsWe found that 74% of the blue-collar employees described technology as a “replacer” that simplifies and reduces human work activities, while only 3% perceived it as an “enabler” that could enrich their jobs and expand human potential. Fifty-three percent of the employees in the white-collar professions described technology as a “replacer,” and 36% perceived it as an “enabler.” Among pink-collar workers, 51% perceived technology as an “enabler,” while only 14% perceived it as a “replacer.” A positive relationship between job automation and self-actualization was evident for pink- and white-collar workers, but not for blue-collar workers.Originality/valueThis study sheds light on how employees in different types of jobs perceive technological advancements at work. A classification of the perception of technology as an “enabler” vs a “replacer” is presented. The relationships between job automation and self-actualization in different job types are explored.
Eicosanoid profiling in patients with complete form of pachydermoperiostosis carrying SLCO2A1 mutations
Authors: Oiwa Tomohiro , Ishibashi Mami , Okuno Toshiaki , Ohba Mai , Endo Yuichiro , Uozumi Ryuji , Ghazawi Feras M. , Yoshida Kazue , Niizeki Hironori , Yokomizo Takehiko , Nomura Takashi , Kabashima Kenji 
Published: June 2021

AbstractPachydermoperiostosis (PDP) is a genetic disease characterized by digital clubbing, periostosis, and pachydermia caused by mutated HPGD or SLCO2A1. Plasma prostaglandin (PG)E2 levels are increased in these patients. However, other eicosanoids have not been quantitated. We aimed to quantitate plasma eicosanoid levels in four patients carrying SLCO2A1 mutations by high‐performance liquid chromatography–tandem mass spectrometry. PGE2 level was elevated in all patients; PGD2 and 11β‐PGF2α levels were also increased in some patients, whereas eicosapentaenoic acid, docosahexaenoic acid, and arachidonic acid levels were decreased in all patients. Our data indicate a dysfunctional eicosanoid homeostasis and varied levels of PG in patients with a complete form of PDP carrying SLCO2A1 mutations. PGE2 levels seem to mostly affect the symptoms, with other eicosanoids possibly having a minor effect.