Search results

The leakage problem caused by machining error, assembly error, wearing and thermal deformation has been the main factor hindering the development of scroll compressor. This paper aims to investigate the lubrication characteristics of radial clearance and further optimize the radial clearance, which can reduce the leakage in the tangential direction of the working chamber.

This paper establishes a model of radial clearance oil film lubrication in scroll compressor. And, the method to solve the Reynolds and energy equations is presented, as well as the dimensionless and discretization by finite element difference method. To verify the established model, performance experiment of scroll compressor for electric vehicle air conditioning system is also carried out.

Based on the presented model, the temperature field and distribution of the oil film in the radial clearance are analyzed. And the influence of the structural parameter on the radial clearance is further discussed. The optimum radial clearance could be achieved at β = 40°–42°, where the orbiting scroll is in the state of rotary balance. And, the simulation results coincide well with the experimental results.

This work provides an effective model to evaluate the lubrication characteristics of radial clearance in scroll compressor, which can provide guidance for the design of scroll compressor.

This chapter examines the effects of financial technology news on banks’ return, efficiency and profitability in China and Vietnam from 2011 to 2019. The authors use various asset pricing models to estimate the abnormal returns (AR) of various listed Chinese and Vietnamese banks following their announcements of FinTech adoption. The authors also use data envelopment analysis (DEA) to examine whether financial technology improves banks’ efficiency and profitability. The results of this study show that only six banks showed positive reactions, 15 banks experienced negative reactions, 11 banks exhibited mixed reactions and eight banks indicated no reactions to financial technology news in China. On the other hand, the authors find that financial technology is welcomed by Vietnamese banks whereby most of them experience mixed reactions with the domination of positive reactions. The authors also find a lower efficiency level in early adopters of financial technology and reduced profitability in the first year when they started applying financial technology.

Banks play a vital role in the economy. Investigating their competitive environment is crucial to ensuring economic stability and development. The FinTech disruption has risks and opportunities for incumbent banks, and it can be valuable to investigate its effects on banking performance. Therefore, the aim of this study is to assess whether investment in FinTech is associated with better performance of Indian banks during 2012–2018.

To do this, a sample of Indian banks was investigated between 2012 and 2018 using k-means and hierarchical cluster analysis, ANOVA, and pairwise comparison tests.

Results of the analysis strongly suggest that investment in FinTech is associated with better banking performance. Higher FinTech investments, represented by mobile transaction volume, are associated with higher efficiency scores and accounting-based performance. In particular, banks that invest in FinTech and have relatively low non-performing loans have a 7.7% higher Return on Employment (ROE) than banks with exceptionally low FinTech use and no significant investment in smart branches.

Therefore, it can be recommended that Indian banks adopt a forward-looking strategic approach when making investment decisions regarding new technologies. Failing to adapt to the FinTech disruption may result in poor value creation prospects in the long run.

To the best of the authors' knowledge, this is the first study that analyses. We are not aware of any similar study on whether investment in FinTech is associated with better performance of the Indian banks during 2012–2018.

The aim of this review is to reflect the current state of Financial Technology (FinTech) research along with its journey of development. Further, a conceptual framework showing the interaction of independent, mediating, and moderating variables with dependent variables (acceptance of FinTech products and services) along with propositions is prepared to facilitate the future researchers. This systematic literature review consists of 110 articles from 78 journals indexed in two academic databases (Scopus and/or Web of Science), extracting facts and figures about FinTech during 2016–2021. Our findings contribute to the literature by exemplifying that FinTech is a mixed set of threats and opportunities. In the present review only 18 articles belong to 2016–2017 but 54 articles are considered from 2020–2021, the increasing number of FinTech articles in high-ranking journals indicate the speedily growing popularity of FinTech. Similarly, secondary data based articles are dominating the primary data based ones. Further, regression analysis and PLS-SEM are the most popular statistical techniques among the authors of FinTech articles. To the best of knowledge of the authors, this is a unique study in which the latest FinTech research findings are skimmed.

Owing to the dramatic rise of FinTech credit in the financial sector, this study describes its knowledge and intellectual structure and paves the way for future research.

The study employs citation analysis, keyword analysis, co-author analysis, co-citation analysis and bibliographic coupling on 268 peer-reviewed articles published during 2010–2021 and extracted from the Web of Science database.

Research on FinTech credit has picked up momentum from 2016, with majority contributions from China, followed by UK and USA. International Journal of Bank Marketing is found to be the most productive journal. Co-citation analysis reveals that past studies have focused on three dominant themes, viz. (a) factors that influence user intention to adopt technological products and services (b) borrowers' and lenders' characteristics that impact fund-raising in FinTech credit platforms and (c) evolution of FinTech market over the years. Bibliographic coupling reveals that recent trends in FinTech credit include (a) impact of emerging technologies like blockchain, artificial intelligence, big data on financial system, (b) factors that encourage consumers to adopt the FinTech products and services, (c) mechanisms by which FinTechs have transformed formal credit markets, (d) factors that lead to successful fundraising in FinTech platforms and (e) critical perspectives on digital lending platforms.

To the best of the authors' knowledge, this is a pioneering study undertaking an exhaustive analysis of FinTech credit as a research area. The study offers valuable insights on potential topics of research in FinTech credit domain like investigating Balance Sheet Lending Model, investigating the impact of FinTechs on financial system, and new markets by collaborating with scholars of other regions.

The purpose of this paper is to provide empirical evidence on the suitability of a Bloomberg Environmental (E), Social (S) and Governance (G) (ESG) disclosure index designed for companies from the USA and to investigate the sustainability quality and stock performance of FinTech companies.

Data from all FinTech and non-FinTech firms in the USA was acquired from Bloomberg to undertake the study and evaluate the suggested hypotheses efficiently. The final sample consists of 1,672 company-year observations from 2010 to 2019. The methodology used ordinary least squares regressions of performance metrics on the Bloomberg ESG disclosure index and its components.

The findings indicated that the Bloomberg ESG disclosure index is a valid proxy for sustainability and has a direct relationship with stock performance. Furthermore, this study suggests that non-FinTech firms outperform FinTech firms in sustainability and stock performance. The findings support stakeholder theory, which suggests that increased disclosure of ESG information will mitigate the agency problem and protect shareholders’ interests.

This study’s findings were significant because the findings emphasised ESG disclosure in FinTech and non-FinTech firms, providing information to academics, legislators, regulators, financial report users, investors, environmental unions, workers, customers and society.

This research is unique as it evaluates ESG practices in both FinTech and non-FinTech firms.

This study aims to verify the influence of perceived value dimensions on customer satisfaction and loyalty in the banking sector, comparing these relationships between traditional banks and fintechs. Also, it was verified whether satisfaction mediates the relationships between the dimensions of perceived value and customer loyalty to traditional banks and fintechs, comparing them.

Data were collected through two online questionnaires with 792 total respondents, 411 from traditional banks and 381 from fintechs. For data analysis, the authors used the Partial Least Squares - Structural Equation Modeling (PLS-SEM) and PLS-SEM multigroup analysis (PLS-MGA).

The influence of customer satisfaction on loyalty tends to be greater in traditional banks than in fintechs; the effect of reliability on satisfaction tends to be greater in fintechs than in traditional banks and the effect of price on satisfaction tends to be greater in traditional banks than in fintechs. Indirectly, empathy, price and competence influence loyalty through satisfaction, and in all these relationships, the strength of the effect is significantly greater in traditional banks when compared to fintechs.

The findings, on the one hand, indicate that banks' investments in customer satisfaction, empathy, price and competence tend to generate positive results by expanding customer loyalty in addition to the return on similar investments made by fintechs. On the other hand, when fintechs invest in reliability, they tend to capture better results in increasing customer satisfaction compared to traditional banks.

The comparison of the effect of the dimensions of perceived value on satisfaction and loyalty between traditional banks and fintechs stands out, which is a novelty in the literature. This comparison can support strategies that aim to strengthen relationships with customers and increase the recurrence of business, both for traditional banks and fintechs.

Changes in regulation systems make professional organizations more likely to undergo rapid, profound and radical change. The issue of how micro-institutional change in professional organizations can be carried out is somewhat ignored.

We conducted a process study of a primary hospital in China to trace a pathway through which low-status professionals successfully proceed with radical change at the micro-level.

We present a model involving three strategies that, reconfiguring jurisdictional boundaries in combination, activate low-status professionals' long-standing implicit jurisdictions: expertise redefinition, value reorientation and promotion.

Our study contributes to understanding how low-status professionals reconcile needs for change with contradictions from the core attributes and ambiguities of professional work. Rather than mixed practices enhancing the role of dominant professions, a desire to separate jurisdiction space opens up the access of newly dominant experts.

Changes in the regulation system make professional organizations more likely to undergo rapid, profound and radical change. The issue of how micro-institutional change in professional organizations can be carried out is somewhat ignored.

Medical disruptive innovation is essential for deepening the reform of health-care system. The theory of general disruptive innovation assumes that innovations can diffuse by benefiting and attracting consumers through observed and objective relative advantages. Yet decision-makers for adoption in health-care settings are safety-sensitive professionals whose cognitions barriers about underperformance in focal attributes will impede further evaluation of innovation's ancillary performance. Existing studies do not answer the question of how such innovations can overcome safety barriers, find early adopters and grow to the early majority. The purpose of this study is to investigate the process, mechanism, and path of early diffusion of medical disruptive innovation.

The authors conduct a longitudinal case study of the diffusion of Enhanced Recovery After Surgery (ERAS) in China during 2011–2018.

The authors find that the diffusion process of medical disruptive innovations can be viewed as a cognitive evolutionary process that sequentially establishes conformity, differentiation and normalization. Cognition reframing of expert, meaning and benefit for professionals is its implicit mechanism. When adoption may trigger cognitive concerns, actors’ very early (dis)adoption is driven by a combination of structural position, innovation attributes and performance perceptions; central actors then play amplifier roles in the development from early adopters to the early majority.

This study proposes a process theoretical framework for the early diffusion of disruptive innovation. By dissecting the key processes and mechanisms from a cognitive perspective, the study offers theoretical contributions and practical insights into the diffusion of disruptive innovation in professional settings.

Coordinating low-carbonization and digitalization is a practical implementation pathway to achieve high-quality economic development. Regions are under great emission reduction pressure to achieve low-carbon development. However, why and how regional emission reduction pressure influences enterprise digital transformation is lacking in the literature. This study empirically tests the impact of emission reduction pressure on enterprise digital transformation and its mechanism.

This article takes the data of non-financial listed companies from 2011 to 2020 as a sample. The digital transformation index is measured by entropy value method. The bidirectional fixed effect model was used to test the hypothesis.

The research results show that emission reduction pressure forces enterprise digital transformation. The mechanism lies in that emission reduction pressure improves digital transformation by promoting enterprise innovation, and digital economy moderates the nexus between emission reduction pressure and digital transformation. Furthermore, the effect of emission reduction pressure on digital transformation is more significant for non-state-owned, mature and high-tech enterprises.

This paper discusses the mediating role of enterprise innovation between carbon emission reduction pressure and enterprise digital transformation, as well as the moderating role of digital economy. The research expands the body of knowledge about dual carbon targets, digitization and technological innovation. The author’s findings help update the impact of regional digital economy development on enterprise digital transformation. It also provides theoretical guidance for the realization of digital transformation by enterprise innovation.