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4. Analysis of Perceived Usability, Satisfaction and Adoption of Biometric Systems in the Public Transportation Sector of U.A.E.

Author

Riaz, Sadia, Mushtaq, Arif, Pham, Hanh, Mookim, Sanjana, Phan, Tung, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Poonia, Ramesh Chandra, editor, Singh, Vijander, editor, Singh Jat, Dharm, editor, Diván, Mario José, editor, and Khan, Mohammed S., editor

Published
2022
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6. Artificial intelligence adoption in supply chain risk management: Scale development and validation

Author

Paul Souma Kanti, Riaz Sadia, and Das Suchismita

Subjects
artificial intelligence, scale development, scale validation, scrm, supply chain risk management, Economic theory. Demography, HB1-3840
Abstract

Artificial Intelligence (AI) can play an important role in the post-Covid-19 world to proactively enable the identification, assessment, and mitigation of supply chain risks as well as provide managerial insights for responding to those risks. There has been a growing interest among supply chain executives to adopt AI for Supply Chain Risk Management (SCRM). The purpose of this paper is to develop an instrument to assess and measure the factors influencing the adoption of AI in SCRM. The development of the instrument has been done in stages covering factor identification, item generation, pre-testing, pilot testing, and scale validation. Data has been collected through a survey of supply chain executives, risk professionals, and AI consultants across manufacturing, wholesale trade, retail trade, and services industries in India. The questionnaire has been pre-tested based on interviews with nine industry experts and two academicians. The scale has been assessed for reliability and validity using Confirmatory Factor Analysis. The scale generated consists of eight factors that are modeled as latent variables covering a total of twenty-eight items. The systematic approach followed resulted in a scale fulfilling a need for the creation of an empirically validated instrument for AI adoption studies in the field of SCRM. This instrument can be used by supply chain executives and researchers to examine and measure factors that influence the adoption of AI in SCRM for the selected industries.

Published
2022
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8. Organizational Adoption of Artificial Intelligence in Supply Chain Risk Management

Author

Paul, Souma Kanti, Riaz, Sadia, Das, Suchismita, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Sharma, Sujeet K., editor, Dwivedi, Yogesh K., editor, Metri, Bhimaraya, editor, and Rana, Nripendra P., editor

Published
2020
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11. Slurry Transport System of the ROBOMINERS Prototype.

Author

Berner, Michael, Pinkse, Tobias, and Riaz, Sadia

Subjects
INDUSTRIAL robots, MINERAL industries, RAW materials
Abstract

Copyright of Mining Report is the property of GVSt,GesamtverbandSteinkohlee.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024

19. Advertisements in Covid-19 Times: Protuberance of Novelty in Pakistani Commercial Discourse.

Author

Sarfaraz, Rida, Abid, Faiza, Riaz, Sadia, and Dar, Saima Abbas

Subjects
COVID-19 pandemic, MIXED methods research, ADVERTISING, CRITICAL discourse analysis
Abstract

There are challenging times faced by the whole globe in the milieu of COVID-19 scenario. This virus expanded quickly and encapsulated the whole world within no time. The world needed to adapt to the changing lifestyle. This paper will focus on the discourse of advertisements of Pakistani commercialism in the light of covid-19 scenario, in the light of sixsegments strategy wheel by Tylor. Tylor (1999). A mixed-method approach (qualitative and quantitative) has been used specifically for this research. To find out the impact during the pandemic questionnaire has been constructed on a Likert scale. Keeping in view the fact that youth is the chief catalyst and participatory regarding the new trends, data has been collected randomly from 50 undergraduate students. There are three major segments have been focused on for this research i.e. ration, acute and routine; will be emphasized in the light of critical discourse analysis. The results of this study depict that females are found to be highly drawn toward the advertisements of COVID-19 products than male participants. Six-segment approaches will fulfill the art of the qualitative method and help us to dissect the advertisements. For the data of advertisement analysis 10 random ads have been chosen in order to analyze the COVID-19 discourse. These commercials have been analyzed in the light of six-segment approach by Tylor (1999) and along with the Fairclough model (1995) of Critical Discourse Analysis. Additionally, this research has contributed to understanding and layering out the disparity among genders. The inclination of females has been found more in initiating and acting upon the instructions of these advertisements, as compared to males. [ABSTRACT FROM AUTHOR]

Published
2024

21. Effects of Motivational Orientation on Learning Drawing in students with Intellectual Disability in Lahore

Author

null Hina Noor, Sehrish Riaz, Sadia Batool

Abstract

Motivation donates to a person's desire, need, or urge to perform any action.Motivational orientation defines the reasons working behind the motivation toperform that action or achieve the goal. The study was planned to explore theeffects of motivational orientation on the learning of drawing in students withintellectual disabilities (ID). A stratified random sampling technique was usedto select 200 students with ID (147 male, 53 female) from Lahore Divisionbelonging to the age range 10 to 21 years. The Scale of Intrinsic versusExtrinsic Orientations in the classroom Questionnaire (IEO) developed byHarter (1981) containing 30 items (score 1 describes most extrinsic and score4 describes most intrinsic) was used to identify the motivational orientation ofthe students with ID. Beery VMI 6th.ed (Beery, 2010) containing 24 drawingshapes were administered to explore the learning of drawing skills in thestudents with ID. Both scales were found to be reliable for the given populationas the alpha reliability of IEO and Beery VMI were 0.953 and 0.950respectively. Results obtained by using the statistical techniques of ANOVA,correlation, and regression analysis indicated that ID students with intrinsicmotivation have a significant positive relationship with drawing learningwhereas extrinsic motivation was found to be negatively correlated with thelearning of drawing. It was recommended that intrinsic motivationalorientation should be developed in students with ID so that their learning couldbe enhanced.

Published
2023

31. Fekete–Szegö Problem and Second Hankel Determinant for a Class of Bi-Univalent Functions Involving Euler Polynomials.

Author

Riaz, Sadia, Shaba, Timilehin Gideon, Xin, Qin, Tchier, Fairouz, Khan, Bilal, and Malik, Sarfraz Nawaz

Subjects
*EULER polynomials, *HANKEL functions, *GEOMETRIC function theory, *ORTHOGONAL polynomials
Abstract

Some well-known authors have extensively used orthogonal polynomials in the framework of geometric function theory. We are motivated by the previous research that has been conducted and, in this study, we solve the Fekete–Szegö problem as well as give bound estimates for the coefficients and an upper bound estimate for the second Hankel determinant for functions in the class  G Σ (v , σ)  of analytical and bi-univalent functions, implicating the Euler polynomials. [ABSTRACT FROM AUTHOR]

Published
2023
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42. The ventral hippocampus CA3 is critical in regulating timing uncertainty in temporal decision-making

Author

Balcı, Fuat (ORCID 0000-0003-3390-9352 & YÖK ID 51269), Çavdaroğlu, Bilgehan; Riaz, Sadia; Shi, Yuqing; Ito, Rutsuko, KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM), College of Social Sciences and Humanities, Department of Psychology, Balcı, Fuat (ORCID 0000-0003-3390-9352 & YÖK ID 51269), Çavdaroğlu, Bilgehan; Riaz, Sadia; Shi, Yuqing; Ito, Rutsuko, KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM), College of Social Sciences and Humanities, and Department of Psychology

Abstract

Timing uncertainty is a critical component of temporal decision-making, as it determines the decision strategies that maximize reward rate. However, little is known about the biological substrates of timing uncertainty. In this study, we report that the CA3 subregion of the ventral hippocampus (vCA3), a relatively unexplored area in timing, is critical in regulating timing uncertainty that informs temporal decision making. Using a variant of the differential reinforcement of low rates of responding (DRL) task that incorporates differential levels of approach-avoidance conflict, rats were trained to wait a minimum of 6 s to earn a reward that was paired with varying durations of foot shock. Post-training chemogenetic inhibition of the vCA3 reduced timing uncertainty without affecting mean wait times, irrespective of the level of conflict experienced. Simulations based on the information-processing variant of scalar expectancy theory (SET) revealed that the vCA3 may be important in modulating decision threshold or switch closure latency variability. © 2021 The Author(s)The neural substrate of timing uncertainty, an inherent component of optimal temporal decision making, is not well known. Using a temporal decision-making task combined with chemogenetics, Çavdaroğlu et al. demonstrate that pyramidal cells in the CA3 subregion of the ventral hippocampus are important in modulating timing uncertainty., Natural Sciences and Engineering Research Council of Canada (NSERC)

Published
2021

44. Metamaterial Antenna Array for RADAR Application and its Scan Blindness

Author

Riaz, Sadia, Rana, Inam Elahi, Mukhtar, Farooq, Riaz, Sadia, Rana, Inam Elahi, and Mukhtar, Farooq

Abstract

This paper presents metamaterial-inspired solution to mitigate scan blindness in phased arrays at RADAR frequency taking advantage of less mutual coupling and compactness of metamaterial arrays. This is done by redesigning a metamaterial antenna at RADAR frequency, feeding it with shielded coaxial probe to reduce side lobe level thus making it practical for planar arrays implementation. Input reflection coefficients and mutual coupling is presented varying phase difference among antenna feeds. Results from HFSS confirmed that there is no scan blindness in these newly designed phased metamaterial arrays.

Published
2020

45. Factors Leading to Sustained Growth of SMES in the U.A.E: A Concept Paper

Author

Tirupathi, Anand, Banerjee, Arindam, Riaz, Sadia, Tirupathi, Anand, Banerjee, Arindam, and Riaz, Sadia

Abstract

Purpose: Small and Medium Enterprises (SME) engaged in the business of Trading and Distribution in the United Arab Emirates are characterized by fluctuations in the business performance and growth. Even though 95% of the businesses in the UAE are SME sector, the variations in the growth pattern lead to various challenges which the owner/manager sometimes fails to handle well. The aim of this concept paper is to identify the factors contributing to the sustained growth of SME business in the UAE. Approach/Methodology/Design: The research problem for this study is “how to ensure sustained growth in business for Small and Medium Sized Enterprises in the United Arab Emirates”. The other studies on SME business have focused on SME performance but have not specifically focused on sustaining the performance and growing over a long period of time. This research will specifically focus on the factors contributing to sustained growth and this will be ascertained through quantitative survey of various SMEs in the UAE. Findings: This research aims to find the success factors which can be useful to the SME sector of the UAE in order to achieve sustained growth in business. As a result of this study, a possible matrix will emerge showing a framework to be applied for sustained growth of business for SMEs. Practical Implications: Sustained growth and longevity of the business remains the most important dream of every SME owner/manager, and the final recommendations of this research will result in a framework which would help SMEs in the UAE to have a sustained growth in business. Originality/value: The specific objective of this research is to find “factors that contribute to the sustained growth in business”. This would ensure that, despite the vagaries in the business environment, the SME owner will continue to have a stable business with sustained growth over a long period of time.

Published
2020

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