Short and/or long-term investment choice: Artificial intelligence analysis of the role of both or-ganizational and behavioral determinants

Hamza, Fadhila

doi:10.5267/j.ijdns.2021.9.012

Cited by 4 publications

(3 citation statements)

References 40 publications

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“…The Future of Finance in an AI-Dominated Landscape AI's capacity to automate financial advisories, elevate the quality of customer engagements, refine investment methodologies, and fortify regulatory adherence heralds a future where its imprint on the financial domain deepens with every passing moment (Hamza, 2022). Yet, this horizon is not without its storms.…”

Section: Ethical Considerations and Ai In Financementioning

confidence: 99%

Evaluating the Influence of AI on Market Values in Finance: Distinguishing Between Authentic Growth and Speculative Hype

Ahmadirad

2024

IJRELPUB

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This article ventures into the intricate realm where the distinctions between authentic growth and speculative bubbles from impact of AI (Miller, 2003), celebrated and critiqued as a buzzword, emerges as a transformative element reshaping entire industries, workflows, and fundamentally altering market valuations (Perri, 2023). The promise of efficiency, innovation, and competitive superiority attributed to AI's integration into business models beckons a deeper investigation into its potential to redefine the competitive landscape. However, this promising horizon is not without its perils and scrutiny. A predominant debate as we navigate up to the year 2023 revolves around whether the market's enthusiastic reception of AI capabilities signifies a realistic reassessment of potential based on tangible fundamentals or if it's a manifestation of speculative exuberance, detached from any solid grounding (Baltrusaitis, 2023). This exploration addresses some implications for investment strategies (GuoRong Hu*, Hui Liu , 2020), regulatory frameworks, and potentially influencing the direction of future technological advancements. It endeavors to dissect AI's multifaceted roles in contemporary business ecosystems, scrutinizing its impacts on corporate valuations and attempting to demarcate the fine line separating real growth from speculative froth. Through a detailed examination, this paper illuminates how AI technologies foster operational efficiencies, drive innovation, and unlock unprecedented insights, all the while carefully navigating the surrounding hype to assess overvaluation risks (Svetlova, 2022) and emerging pitfalls. The journey through the AI landscape reveals a spectrum of inspiring successes and cautionary tales, guiding the current nuanced discussion toward clarifying AI's impact on capital markets and corporate valuations understanding for investors, business leaders, and technology aficionados aiming to make informed decisions (Tania Babina , Anastassia Fedyk , Alex He, James Hodson, 2024).

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Section: Ethical Considerations and Ai In Financementioning

confidence: 99%

Evaluating the Influence of AI on Market Values in Finance: Distinguishing Between Authentic Growth and Speculative Hype

Ahmadirad

2024

IJRELPUB

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“…This decision-making bias, is a concern because of the impact it causes and is often not realized by many managers. Managerial myopia is described as maximizing short-term revenue rather than long-term performance (Laverty 1996;Levinthal and March 1993), lack of management foresight of strategic opportunities (Miller 2002), *Address correspondence to this author at the Faculty of Economics, Universitas Islam Sultan Agung, Semarang, Indonesia, and Faculty of Economics and Business, Universitas Islam Nahdlatul Ulama, Jepara, Indonesia; Tel: +6285290708266; E-mail: anam@unisnu.ac.id difficulties in being oriented toward the future (Marginson and McAulay 2008), abandonment of long-term planning (Ridge, Kern, and White 2014), lack of investment in longterm value creation activities (Hamza 2022;Lee and Nawata 2020;Madyan, Kurniawan, and Firdausi 2019). This management bias leads to the destruction of the value of the enterprise (Mahajan 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Concerning the concept of finance, financial myopia is the inability to understand or anticipate the consequences resulting from short-term financial decisions (Trent 2020). Financial decision-making oriented toward short-term goals can be seen in investment decisions where financial allocations are used to solve current problems rather than investing in future opportunities (Chen, Lin, and Yang 2015;Hamza 2022;Lee and Nawata 2020;Madyan et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Managerial Myopia Control to Improve Financial Performance in Microfinance Institutions

Anam¹,

Khajar²,

Mutamimah³

2023

R. Econ. and Finan.

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Management makes many strategic decisions that have an impact on the performance of the company. Decision-making carried out by management allows for decision-making bias. Our research seeks to gain a further understanding of the managerial phenomenon of myopia, where previous empirical research has been very limited and conceptual. This study aims to analyze the influence of managerial myopia on financial performance in microfinance institutions. This decision-making bias is a concern because of the impact it causes and is often not realized by many managers. Methodology This research uses explanatory research that emphasizes the relationship between research variables through hypothesis testing. Research variables include temporal myopia, spatial myopia, failure myopia, and financial performance. Data collection was carried out using structured questionnaires, and analysis was performed using PLS-SEM with SMART-PLS software. The results showed that managerial myopia (temporal, spatial, and failure) negatively affects financial performance. These results indicate that the biased practices of management may affect the company's financial performance. This study contributes to the financial literature on managerial myopia by analyzing the influence of managerial myopia on financial performance, thereby increasing understanding of the phenomenon of managerial myopia in microfinance institutions, where previous research was still limited. Managers can easily use the indicators we developed to assess managerial myopia as metrics for each type of myopia. These empirical results serve as an impetus for myopic managers to redirect their behavior and help convince sustainability-oriented managers to stay on track.

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Work performance change during the Covid-19 pandemic under risk-as-feelings hypothesis for managers across Europe

Hamza

2023

EMJB

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PurposeThis study aims to examine the predictors of the managers’ work performance under the risk-as-feelings hypothesis during the Covid-19 pandemic in four European countries. Specifically, it aims to investigate the impact of risk-related job stressors and behavioral and emotional reactivities on non-managers and managers performance in risky circumstances.Design/methodology/approachThe author assessed simultaneously the effects of occupational health risk perception and the resulting feelings and emotional state such irritability and commitment change, the effects of income and others organizational and personal variables as performance stressors. The author used a sample of 652 employees divided on two groups (71% non-managers and 23% managers). Data are obtained from the dataset in Prochazka et al., (2020) collected using online survey delivered to employees employed in their companies for a minimum of five months in the period between Mai and June 2020.FindingsThe results confirm the risk-as-feelings hypothesis and show significant effect of occupational health risk perception and associated emotional responses (irritability and commitment) on the work performance for non-managers’ group. However, for managers’ group the main determinant of work performance is the organizational commitment as explained by the job-demands-resources-model (JDRM).Originality/valueThe originality of this study is to employ the risk-as-feelings hypothesis (Loewenstein et al., 2001) in a management research question such as job performance predictors. Thus, this study contributes to the literature on job performance in two significant ways. First, it examines the risk-related job’s stressors as determinants of managers and non-managers performance under the risk-as-feelings hypothesis. Second, it tests the importance of functional differences as an approach to better investigate the framework of the JDRM (Bakker and Demerouti, 2017).

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Short and/or long-term investment choice: Artificial intelligence analysis of the role of both or-ganizational and behavioral determinants

Cited by 4 publications

References 40 publications

Evaluating the Influence of AI on Market Values in Finance: Distinguishing Between Authentic Growth and Speculative Hype

Evaluating the Influence of AI on Market Values in Finance: Distinguishing Between Authentic Growth and Speculative Hype

Managerial Myopia Control to Improve Financial Performance in Microfinance Institutions

Work performance change during the Covid-19 pandemic under risk-as-feelings hypothesis for managers across Europe

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