The Effect of Cognitive and Affective Involvement on Intention to Use and Word of Mouth: The Case of Zoom Users In Indonesia

Siahaan, Nur Halimah; Martini, Aldini Nofta; Halim, Muhammad Abi Sofian Abdul

doi:10.22146/jieb.v37i2.1403

Cited by 2 publications

(2 citation statements)

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“…In the context of this study, attitude toward artificial intelligence (AI) is conceptualized as individuals' subjective evaluations of robo-advisory services. Previous studies have investigated the association between attitude and adoption intention toward novel technologies (Ashrafi et al, 2021;McLean et al, 2020;Siahaan et al, 2022). In this vein, recent studies on adoption of AI-based technologies suggest attitude is crucial for understanding individuals' adoption intentions (Ashrafi and Easmin, 2022;Dwivedi and Wang, 2022).…”

Section: Attitude Toward Aimentioning

confidence: 99%

Managing Consumers’ Adoption of Artificial Intelligence-Based Financial Robo-Advisory Services: A Moderated Mediation Model

Ashrafi

2023

JIEB

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Introduction/Main Objectives: This study investigates the determinants of willingness to use financial robo-advisory services. The study aims to identify the intertwined roles of perceived value, perceived risk, and perceived financial knowledge in consumers’ acceptance of financial robo-advisory services. Background Problem: Fintech and AI-based applications have opened up new prospects for financial management, but studies into the adoption and implementation of robo-advisors are limited and scant. Novelty: The study offers novel insights by exploring the direct and indirect effects of perceived value and risk on consumer decisions around adopting robo-advisory services. The study also identifies other major drivers of robo-advisory service adoption and formulates a comprehensive model. Research Methods: A quantitative method using a deductive approach was applied, with PLS-SEM performed on a sample of 285 respondents from Bangladesh. The sample was gathered using a purposive sampling method. Findings/Results: Findings revealed that while relative advantage and perceived innovativeness positively affected perceived value and adoption intention, complexity negatively impacted perceived value and adoption intention. The findings also highlighted that attitude had a negative effect on perceived risk and intention to adopt robo-advisory services. The mediating impact of perceived value and risk in predicting the relationship between relative advantage, attitude and behavioral intention to adopt robo-advisory services was also identified. Moreover, the study revealed that perceived financial knowledge moderated the relationship between perceived value and behavioral intention. Conclusion: This study contributes to the existing body of literature by showing the intertwined roles of perceived value, perceived risk, and perceived financial knowledge in consumer acceptance of robo-advisory services. The study provides meaningful insights for financial institutions, and policymakers seeking to make robo-advisory services more reliable and acceptable to consumers through innovative service design and positioning.

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Section: Attitude Toward Aimentioning

confidence: 99%

Managing Consumers’ Adoption of Artificial Intelligence-Based Financial Robo-Advisory Services: A Moderated Mediation Model

Ashrafi

2023

JIEB

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“…After developing the hypotheses, the research model shown in Figure 1 was created. (Nurhayati et al, 2021;Siahaan et al, 2022).…”

Section: Research Modelmentioning

confidence: 99%

Does Heuristic Bias Matter for Long And Short-Term Investment Decision-Making During The COVID-19 Pandemic?

Sudirman,

Alif,

Pratiwi

2023

JIEB

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Introduction/Main Objectives: This study examines the effect of heuristic behavior on investment decision-making in the long- and short-term during the COVID-19 pandemic in the Indonesian capital market. Background Problems: Traditional finance cannot fully explain how investors behave in the capital market. Investors will tend to use heuristics when making investment decisions because humans have cognitive limitations, as explained in the bounded rationality theory. Especially during the COVID-19 pandemic, investors have shown their irrationality due to the high uncertainty and panic caused by the COVID-19 pandemic. This phenomenon can only be explained by behavioral finance. Novelty: This study examines the effect of bias on the investment decision-making of investors who make long-term and short-term investments. Previous studies only tested the impact of bias directly, without differentiating the length of time of the investment. Research Methods: This study used partial least squares structural equation modelling (PLS-SEM) with WarpPLS tool. Testing the moderating effect was undertaken using multi-group analysis (MGA). Finding/ Results: The results of this study indicate that anchoring and availability bias have a positive effect on investment decision-making, while representativeness bias has no significant impact. Investment time moderates the effect of representativeness bias on irrational investment decision-making, while anchoring and availability bias are not supported. Conclusion: Anchoring and availability heuristics will increase irrational investment decisions, while the effect of representativeness heuristics on irrational investment decisions will decrease when investors make long-term investments.

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The Effect of Cognitive and Affective Involvement on Intention to Use and Word of Mouth: The Case of Zoom Users In Indonesia

Cited by 2 publications

References 0 publications

Managing Consumers’ Adoption of Artificial Intelligence-Based Financial Robo-Advisory Services: A Moderated Mediation Model

Managing Consumers’ Adoption of Artificial Intelligence-Based Financial Robo-Advisory Services: A Moderated Mediation Model

Does Heuristic Bias Matter for Long And Short-Term Investment Decision-Making During The COVID-19 Pandemic?

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