Decision Support System for Determining Pharmacy Service Quality

Irawan, Dedi; Huda, Miftachul; Teh, Kamarul Shukri Mat; Ihwani, Siti Suhaila; Rashid, M.; Febriana,; Maseleno, Andino

doi:10.1166/jctn.2019.8550

Cited by 3 publications

(2 citation statements)

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“…The below Figure 3 lists the top 15 most productive authors as per our search strategy, with Maseleno Andino the biggest contributor with 27 articles, followed by Huda Mitchel with 26 articles identified, Dwivedi Y.K., Chatterjee Sheshadri, Floridi Luciano and other as per below. One important aspect to mention here is that Maseleno (the most prolific author identified) is not always the first author, and he is a contributor to AI related research focusing more on technical aspects (methods, code, and development techniques) with applicability on different industries, such as pharmacy (Irawan et. al, 2019), food industry (Hamid et.…”

Section: Key Contributors On the Research Field Of Ai Ethics In Businessmentioning

confidence: 99%

Ai Ethics in Business – A Bibliometric Approach

CIOBANU¹,

MEȘNIȚĂ²

2021

Review of Economic and Business Studies

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Different businesses utilize Artificial intelligence (AI) to accelerate their digital transformation aiming to enhance specific outcomes while maximize productivity. Artificial Intelligence technologies have evolved rapidly and the interest to study this field has increased accordingly. In this context, the researchers were interested not only on the technical side of AI, but also on its impact on economy, or business. This study reviews, trough bibliometric techniques, the key players, and the main discussed topics, that contribute to the research of ethics of AI solutions implemented in business. We analyzed the most cited 2000 articles extracted from Scopus databases, and we used VOSviewer to visualize the identified data. The insights provided through this paper are valuable for the researchers that are exploring the AI ethics, as well as for specific audiences from different domains such as social sciences, business decision making, IT management, government, and public policy decision-makers.

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Section: Key Contributors On the Research Field Of Ai Ethics In Businessmentioning

confidence: 99%

Ai Ethics in Business – A Bibliometric Approach

CIOBANU¹,

MEȘNIȚĂ²

2021

Review of Economic and Business Studies

View full text Add to dashboard Cite

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confidence: 99%

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2021

Review of Economic and Business Studies

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In a sample of 79 districts of the Slovak Republic for the period 1997 -2019, we examine the connection between the unemployment rate and the crude divorce rate. Our findings reveal a negative and statistically significant relationship, which suggests a procyclical nature in terms of the economic cycle. The estimated coefficients are relatively consistent even after the addition of control variables considering socio -economic factors or fixed effects. The results of the regression analysis show that an increase in the unemployment rate by one percentage point is accompanied by a decrease in the crude divorce rate by an average of 0.024 units. These findings support the assumptions of the theory of the high costs of divorce that spouses must bear. In a period of high unemployment, it is more acceptable for spouses to stay married than to bear the high costs associated with legal proceedings or the loss of part of the joint savings. The analysis of possible non-linear relationships between the unemployment rate and the crude divorce rate also showed a negative relationship. Quantile regression also points to the U-shaped relationship between variables and supports the opportunity theory. ii

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