Algorithmic Trading Efficiency and its Impact on Market-Quality

Dubey, Ritesh Kumar; Babu, A. Sarath; Jha, Rajneesh Ranjan; Varma, Urvashi

doi:10.1007/s10690-021-09353-5

Cited by 7 publications

(1 citation statement)

References 25 publications

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“…For example, many of the content services that people access on the Internet, such as news, music, video, advertising, social network dynamics, and the goods they buy, are currently personalized by recommendation engines based on consumer preferences, not by human decisions ( sohu.com ) 1 ( Gal, 2018 ). Most Internet technology companies are already using algorithmic decision-making in consumer, education, finance, healthcare, transportation, justice, urban governance, and other fields and scenarios ( Mestel et al, 2018 ; Dubey et al, 2021 ). For companies using algorithms for decision-making, algorithms are not only marketing or sales tools, but also an important driving force to stimulate insight, innovation, and user participation.…”

Section: Introductionmentioning

confidence: 99%

Exploring the role of AI algorithmic agents: The impact of algorithmic decision autonomy on consumer purchase decisions

Yue-jiao

Liu

2022

Front. Psychol.

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Although related studies have examined the impact of different images of artificial intelligence products on consumer evaluation, exploring the impact on consumer purchase decisions from the perspective of algorithmic decision autonomy remains under-explored. Based on the self-determination theory, this research discusses the influence of the agent decision-making role played by different AI algorithmic decision autonomy on consumer purchase decisions. The results of the 3 studies indicate that algorithmic decision autonomy has an inverted U-shaped effect on consumer’s purchase decisions, consumer’s self-efficacy mediates the relationship between algorithmic decision autonomy and purchase decisions, and consumer’s power distance moderates the relationship between algorithmic decision autonomy, self-efficacy, and purchase decisions. The research results can provide references for marketers, retailers, algorithm designers, and other parties to formulate algorithm marketing strategies, make AI algorithm decisions better serve consumers, and achieve value co-creation with consumers.

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Section: Introductionmentioning

confidence: 99%

Exploring the role of AI algorithmic agents: The impact of algorithmic decision autonomy on consumer purchase decisions

Yue-jiao

Liu

2022

Front. Psychol.

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Equity Market Price Prediction Using Fuzzy-Genetic Machine Learning Algorithms

Shah

Patil

2023

Congress on Smart Computing Technologies

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A serial mediation model for investigating the intention to use algorithmic trading platforms among retail investors in India

Bunkar,

Ramaiah

2024

XJM

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Purpose In developing nations, the utility and intention to use algorithmic trading (AT) platforms and financial services are predominantly reliant on investors’ technological knowledge. This study aims to investigate the effect of investor awareness of AT (AAT), trust in AT (TAT) and acceptance of innovativeness (AOI) on intention to use the AT (IUAT) platforms among Indian investors. Design/methodology/approach The authors used a structured questionnaire with a five-point Likert scale to collect the data from 392 Indian retail investors through a purposeful sampling approach. And, the authors carried out structural equation modelling to analyse the serial mediation among the latent (independent) and observed (dependent) variables. Findings The findings suggest that investor awareness exerts a statistically significant and positive effect on the IUAT platforms. Additionally, TAT platforms and innovation acceptance, independently as well as mediator, significantly influences the usage decision of AT platforms among Indian investors. Research limitations/implications The findings on determinants of AT platform usage can guide investment regulators to promote technological awareness, build trust and provide a safe algorithmic trading environment for retail investors in India. The suggestions may take the edge off a few behavioural impediments among the investors w.r.t. AT platform usage. Originality/value Off the back of extensive literary exploration our field research is among the first that probes an intellectual discourse and documents the empirical evidence on linkages between investor AAT, TAT, AOI and the IUAT platforms in the Indian stock market.

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Algorithmic Trading Efficiency and its Impact on Market-Quality

Cited by 7 publications

References 25 publications

Exploring the role of AI algorithmic agents: The impact of algorithmic decision autonomy on consumer purchase decisions

Exploring the role of AI algorithmic agents: The impact of algorithmic decision autonomy on consumer purchase decisions

Equity Market Price Prediction Using Fuzzy-Genetic Machine Learning Algorithms

A serial mediation model for investigating the intention to use algorithmic trading platforms among retail investors in India

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