Journal of Economics and Economic Education Research (Print ISSN: 1533-3590; Online ISSN: 1533-3604)

Short commentary: 2023 Vol: 24 Issue: 1S

Digital Finance affect Consumer Online Shopping and Modelling Online Job Search and Choices in the Job Market

Mingxun Hossain, University of Bristol

Citation Information: Hossain, M. (2023). Digital finance affect consumer online shopping and modelling online job search and choices in the job market. Journal of Economics and Economic Education Research, 24(S1), 1-3.

Abstract

In The Job Market Digital finance( DF) is a new type of fiscal service that integrates colorful digital technologies, including mobile internet, big data, artificial intelligence, pall computing, blockchain and so on. Compared with traditional finance, DF expands the content of fiscal services, reduces the cost of fiscal deals and enhances the effectiveness of fiscal development. presently, as an effective complement to the traditional fiscal system, DF is piercing into all aspects of the frugality and society, plying a subtle influence on product, exchange and consumption in the profitable system. The impact of DF on ménage consumption demands and residers' consumption patterns is an arising exploration hotspot at present.

Keywords

Digital Finance, Job Market, Online Shopping.

Introduction

Classical fiscal proposition suggests that consumers subject to credit constraints can use fiscal requests to achieve intertemporal optimization of capital and therefore grease consumer demand. There's an academic agreement that DF can significantly foster consumption, with studies pointing out that DF has made payments more effective and accessible, which has reshaped an arising consumer model (Jensen et al., 2021).

Along with the rapid-fire development of ultramodern communication technology, the new retail business model represented bye-commerce is changing the traditional way of consumption, especially due to the impact of covid- 19, consumers are more inclined to protect online compared to offline shopping. There has been a large body of literature exploring the factors impacting consumer online shopping( COS) in terms of stipend, proportion of youthful population(Kim and Martinez, 2013), payment convenience and consumer psychology. Still, there are smaller studies on whether DF affects COS, and in particular, the transmission medium by which DF affects COS is unclear. The global profitable demand has further shrunk due to COVID- 19, global affectation and geopolitical conflicts. The digital frugality is getting an critical machine of world profitable recovery, and countries around the world have taken digital finance ande-commerce as the crucial directions of digital frugality development. In this environment, it's of great theoretical and practical significance to study the relationship between DF and COS (J Lei et al., 2021).

 

It's pivotal to understand both job hunt and choice behaviours to shape programs targeted at labour force opinions. Both job hunt and choice are structurally and behaviourally affiliated stages in the typical job change decision- making process, with hunt logically antedating a job offer and job choice. propositions of choice geste in psychology and organizational decision- timber have honored and conceptualised job/ organizational hunt and choice as a successional process. In labour economics, the focus has been theoretical, generally riveting independently on job hunt information gathering and/ or final- stage job choice (Qalati et al., 2021).

 

The empirical operations in labour economics have generally riveted on aspects of the job- hunt process similar as job hunt practices or job choice in insulation, with no emphasis on modelling affiliated stages. While both job hunt and choice stages are related, there are also implicit process and behavioural differences unique to each,e.g., the generation of a job offer being dependent on both the operation from the worker and the employer decision to make the offer (Pham et al., 2020).

 

Ignoring the relationship between hunt and choice potentially misses important features of the typical individual experience and decision- making process, e.g., webbing of jobs that can be informed by the hunt stage and can impact the quality of job offers entered at the choice stage. There's thus a need to study hunt and choice stages concertedly, and a natural step is to thus test the thesis that actors have different taste parameters and factors at the job operation and job offer stage and give an logical model that can model both stages concertedly. This should lead to bettered prognostications and evaluaions of labour force opinions, bettered allocation of coffers to ameliorate job matching, attractiveness and retention of the pool through the design of job characteristics, retention and subscribe- on impulses. Previous empirical studies of pool labour force opinions have concentrated independently on aspects of job hunt or job choice. experimental or tone- reported revealed preference( RP) data have ranged from executive, tone- reported and more lately online job hunt website data generally riveting on job hunt experience, trouble and job chancing success (Tran, 2020).

 

Conclusion

Work exploring job choice has exercised executive and job satisfaction RP data as well as stated preference( SP) data sources including separate choice trials, the ultimate due to their capability to depict and collect data for a wide range of request conditions. To our knowledge, previous empirical studies using RP and SP data haven't explored and tested for implicit differences in preferences at both the job hunt and job choice stages to date. This study provides a SP dimension frame gauging both online job hunt and choice, and proposes that data collected via this frame be anatomized with a behaviourally harmonious two- stage econometric model that incorporates the liability of operation( first stage) into the job offer choice( alternate stage).

References

Jensen, K.L., Yenerall, J., Chen, X., & Yu, T.E. (2021). US consumers’ online shopping behaviors and intentions during and after the COVID-19 pandemic . Journal of Agricultural and Applied Economics, 53(3), 416-434.

Indexed at, Google scholar, Cross Ref

Lei, F., Wei, G., & Chen, X. (2021). Model?based evaluation for online shopping platform with probabilistic double hierarchy linguistic CODAS method.International Journal of Intelligent Systems, 36, (9), 5339-5358.

Indexed at, Google scholar, Cross Ref

Pham, V.K., Do Thi, T.H., & Ha Le, T.H. (2020).A study on the COVID-19 awareness affecting the consumer perceived benefits of online shopping in Vietnam. Cogent Business & Management, 7, 1846882.

Indexed at, Google scholar, Cross Ref

Qalati, S.A., Vela, E.G., Li, W., Dakhan, S.A., Hong Thuy, T.T., & Merani, S.H. (2021). Effects of perceived service quality, website quality, and reputation on purchase intention: The mediating and moderating roles of trust and perceived risk in online shopping . Cogent Business & Management, 8(1), 1869363.

Indexed at, Google scholar, Cross Ref

Tran, V.D. (2020). The relationship among product risk, perceived satisfaction and purchase intentions for online shopping. The Journal of Asian Finance, Economics and Business, 7(6), 221-231.

Indexed at, Google scholar, Cross Ref

Received: 25-Jan-2023, Manuscript No. JEEER-22-13269; Editor assigned: 27-Jan-2023, Pre QC No. JEEER-22-13269(PQ); Reviewed: 10-Feb-2023, QC No.JEEER-22-13269; Revised: 11-Feb-2023, Manuscript No. JEEER-22-13269(R); Published: 18-Feb-2023

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