A Bibliometric Analysis of Published Articles on Management Information Systems (MIS)

This paper aimed to explore trends in management information systems (MIS) research from 2017 to 2021 and compare their contributions based on different countries and authors. In particular, this study presents a bibliometric analysis of MIS highlighting key themes including, effective top MIS journals, authors, contributing countries, source types, sponsoring institutions, document languages, and subject areas, within the past five years. The data were chosen from Web of Science and Scopus databases based on defined search terms relating to MIS. Microsoft Excel 2016 was used to summarize bibliometric features, including the number of publications, subject areas and country contributions. Based on the search results, a total of 3624 papers were included. The results showed that most of the articles were published in journals and conferences, mainly in English. Additionally, most of the research in MIS was in the computer, engineering, medicine and management sciences fields and China contributed the largest percentage of articles (17%). The “Journal of Physics”and the“International Conference on Information Systems Development” had the highest publication number, while, the European Commission, the National Natural Science Foundation of China, and the National Science Foundation were the top funding institutions.The outcomes provide a global perspective of the MIS field, identifying the works that have had the greatest impact, the main study traditions or themes that have been explored in MIS studies. Structural analyses revealed changes in the MIS over time. The paper concluded with suggestions and accumulated knowledge for future study. Keywords: Bibliometric analysis, Information Systems, Management Information Systems, MIS field. DOI: 10.7176/IKM/11-4-14 Publication date:November 30th 2021

The Relationship between Capital Structure and Performance of Non-Financial Firms Listed on the Amman Stock Exchange

The aim of this study is to take a step forward to examine the relationship between capital structure and firm performance particularly concentrating on the firms listed on Amman Stock Exchange (ASE). The current study uses 95 sample firms from non-financial firms listed on ASE. The period of the present study is (2013 - 2017). The regressions have been shown and the results are showed rely upon the fixed effect model. The results show that all variables represent capital structure by Total Debt to Total Assets, Long Term Debt to Total Assets, Firm Size, Sales growth, Tangibility, and Liquidity have the relationship to firm’s performance represents by return on assets and Tobin’s Q. Sales growth and Total Debt to Total Assets have statistically positive significant relationship with firm’s performance. Meanwhile, Long Term Debt to Total Assets and Liquidity show a statistically insignificant relationship with firm performance. Similarly, Tangibility has a statistically negative significant relationship with Tobin’s Q and return on assets. Lastly, the study is contributed to top managers by providing value of an effective and efficient capital structure to firm performance in Jordanian business environment, by facilitating them in improving their capital structures to maximise shareholders’ wealth as well as findings of this study will be important to other researchers by providing empirical evidence on the influence of capital structure on firm performance. Keywords: Amman Stock Exchange, Capital Structure, Firm’s Performance, Jordan DOI: 10.7176/RJFA/13-2-09 Publication date: January 31st 202

Pharmacokinetic—Pharmacodynamic Modeling of Tumor Targeted Drug Delivery Using Nano-Engineered Mesenchymal Stem Cells

Nano-engineered mesenchymal stem cells (nano-MSCs) are promising targeted drug delivery platforms for treating solid tumors. MSCs engineered with paclitaxel (PTX) loaded poly(lactide-co-glycolide) (PLGA) nanoparticles (NPs) are efficacious in treating lung and ovarian tumors in mouse models. The quantitative description of pharmacokinetics (PK) and pharmacodynamics (PD) of nano-MSCs is crucial for optimizing their therapeutic efficacy and clinical translatability. However, successful translation of nano-MSCs is challenging due to their complex composition and physiological mechanisms regulating their pharmacokinetic-pharmacodynamic relationship (PK–PD). Therefore, in this study, a mechanism-based preclinical PK–PD model was developed to characterize the PK–PD relationship of nano-MSCs in orthotopic A549 human lung tumors in SCID Beige mice. The developed model leveraged literature information on diffusivity and permeability of PTX and PLGA NPs, PTX release from PLGA NPs, exocytosis of NPs from MSCs as well as PK and PD profiles of nano-MSCs from previous in vitro and in vivo studies. The developed PK–PD model closely captured the reported tumor growth in animals receiving no treatment, PTX solution, PTX-PLGA NPs and nano-MSCs. Model simulations suggest that increasing the dosage of nano-MSCs and/or reducing the rate of PTX-PLGA NPs exocytosis from MSCs could result in improved anti-tumor efficacy in preclinical settings

Pharmacokinetic—Pharmacodynamic Modeling of Tumor Targeted Drug Delivery Using Nano-Engineered Mesenchymal Stem Cells

Nano-engineered mesenchymal stem cells (nano-MSCs) are promising targeted drug delivery platforms for treating solid tumors. MSCs engineered with paclitaxel (PTX) loaded poly(lactide-co-glycolide) (PLGA) nanoparticles (NPs) are efficacious in treating lung and ovarian tumors in mouse models. The quantitative description of pharmacokinetics (PK) and pharmacodynamics (PD) of nano-MSCs is crucial for optimizing their therapeutic efficacy and clinical translatability. However, successful translation of nano-MSCs is challenging due to their complex composition and physiological mechanisms regulating their pharmacokinetic-pharmacodynamic relationship (PK–PD). Therefore, in this study, a mechanism-based preclinical PK–PD model was developed to characterize the PK–PD relationship of nano-MSCs in orthotopic A549 human lung tumors in SCID Beige mice. The developed model leveraged literature information on diffusivity and permeability of PTX and PLGA NPs, PTX release from PLGA NPs, exocytosis of NPs from MSCs as well as PK and PD profiles of nano-MSCs from previous in vitro and in vivo studies. The developed PK–PD model closely captured the reported tumor growth in animals receiving no treatment, PTX solution, PTX-PLGA NPs and nano-MSCs. Model simulations suggest that increasing the dosage of nano-MSCs and/or reducing the rate of PTX-PLGA NPs exocytosis from MSCs could result in improved anti-tumor efficacy in preclinical settings

Technological and provenance aspects of Umayyad and Ayyubid-Mamluk pottery from Umm as-Surab, north-eastern Jordan : a multi-method approach.

International audienceThis research deals with an archaeometric study of the pottery of the Umayyad (661-750AD) and Ayyubid-Mamluk (1171-1250AD, 1250-1517 AD) periods excavated from the Umm as-Surab archaeological site (north-eastern Jordan), using a multi-analytical approach, consisting of thin-section petrography, X-ray powder diffractometry, X-ray fluorescence spectrometryand thermal gravimetry. The data collected on ceramic fabric, raw materials, and chemical and mineralogical compositions were used to shed light on the provenance of the potsherds and reconstruct various aspects of their production technology, such as production recipes (base clay versus tempers), firing temperature and atmosphere. Chemical data were statisticallytreated using a multivariate method. The cluster analysis was performed using the software package of SPSS version 25 and the squared Euclidean distance in the Ward’s method. The results indicate that the samples were locally produced using the available raw materials: few samples have different recipes that might indicate a different source for them. The productiontechnology was well controlled, using ferruginous calcareous and non-calcareous clays mixed with quartz and limestone, among others, non-plastic inclusions and fired at temperatures between 750 and 950oC

Technological and provenance aspects of Umayyad and Ayyubid-Mamluk pottery from Umm as-Surab, north-eastern Jordan: A multi-method approach

International audienceThis research deals with an archaeometric study of the pottery of the Umayyad (661-750AD) and Ayyubid-Mamluk (1171-1250AD, 1250-1517 AD) periods excavated from the Umm as-Surab archaeological site (north-eastern Jordan), using a multi-analytical approach, consisting of thin-section petrography, X-ray powder diffractometry, X-ray fluorescence spectrometry and thermal gravimetry. The data collected on ceramic fabric, raw materials, and chemical and mineralogical compositions were used to shed light on the provenance of the potsherds and reconstruct various aspects of their production technology, such as production recipes (base clay versus tempers), firing temperature and atmosphere. Chemical data were statistically treated using a multivariate method. The cluster analysis was performed using the software package of SPSS version 25 and the squared Euclidean distance in the Ward’s method. The results indicate that the samples were locally produced using the available raw materials: few samples have different recipes that might indicate a different source for them. The production technology was well controlled, using ferruginous calcareous and non-calcareous clays mixed with quartz and limestone, among others, non-plastic inclusions and fired at temperatures between 750 and 950oC

The influence of artificial intelligence on the AISs efficiency: Moderating effect of the cyber security

AbstractThe study designed to identify the influence of artificial intelligence on the efficiency of Accounting Information Systems (AIS) in the Jordanian industial companies, where the descriptive analytical approach was used. The study population included all Jordanian industrial companies listed in Amman Stock Exchange, includes (55) industrial companies. The respondents includes the managers, where (275) questionnaires were distributed to the study respondents electronically, with an average of (5) questionnaires for each company, and retrieved 142 valid questionnaires for statistical analysis. The results presented that there is a significant and positive effect of artificial intelligence’s dimensions (i.e. expert systems, genetic algorithms, intelligent agents) on the efficiency of AIS in Jordanian industrial companies. But the resule revealed that neural network as an artificial intelligence’s dimensions have non-significant effect on the efficiency of AISs. The result also found that the effective application of cyber security moderates the relationship between artificial intelligence and the the efficiency of AIS positively. Given the importance of the industrial companies’ sector in the context of Jordan, the results are useful for these companies with regard to the issue of AIS efficiency and the role of artificial intelligence applications in this efficiency. The results also highlighted the importance of the effective application of cyber security in such a technological era. To the knowledge of the authors, this study is one of the first to address cybersecurity as a moderating variable on the relationship between artificial intelligence applications and AIS efficiency in industrial companies in Jordan, a developing country