Search results

The purpose of this paper is to investigate the heat transportation rate by using Cattaneo–Christov heat flux model. Furthermore, homogeneous-heterogeneous reaction is also deliberated in the modeling of concentration expression.

The nonlinear PDEs are reduced to ODEs via implementation of applicable transformations. Numerical scheme bvp4c is used to obtain convergent solutions.

The main findings are to characterize the generalized Fourier’s heat flux and homogeneous-heterogeneous reactions in 3D flow of non-Newtonian cross fluid.

It is to certify that this paper is neither published earlier nor submitted elsewhere.

In the ever-changing circumstances, library professionals need to maintain their competencies in line with the new trends. Continuing professional development (CPD) is a mechanism out of these; social media (SM) is a major channel usually used by the professionals for CPD, more specifically the video conferencing mediums such as YouTube, Skype, Zoom and Google meet. These outreach mediums can be used by library professionals to communicate with each other irrespective of their location. This study aims to highlight the effective use of such channels by library professionals to meet the needs of CPD through a systematic review of prior studies.

The initial search was carried out in Library, Information Science and Technology Abstracts (LISTA) (n = 94), Google Scholar (n = 20), Search on hand (n = 13), Scopus (n = 1) and Web of Science (n = 0). The keywords combinations were used as a formula, i.e. [(Information professional) (Librarians) + CPD + Continuing Professional Development + Youtube + Skype + Zoom + Google meet + Video conferencing]. This search produced a cumulative of 128 results out of the five main databases and hand searches. Moreover, for the purpose of screening and identification of paper, the preferred-reporting of items for systematic reviews and meta-analyses statement was used.

The review findings show that the adoption of these channels for CPD purposes has a significant potential to hone up the skills of the professionals who are well proficient in using modern technologies. The results mentioned YouTube as a leading channel of SM used for CPD, followed by Skype. This review further provided practical implications for the information professionals and suggestions for future research.

This study will not only increase the body of knowledge but also attract the researchers to know about the current scenario that how much library professionals are using SM channels for their continuing professional development as well as assists the stakeholders to devise their policies accordingly.

The present study focused on information literacy education through a unique research lens, i.e. the Delphi process in developing countries. The primary aim of the study is to formulate an information literacy framework for higher education.

In total 13 experts from the field, including academicians and practitioners, were invited to build consensus on the components of an information literacy curriculum for library and information sciences or management postgraduate students.

The Delphi process was completed in three reasonable rounds to build consensus on eight information literacy course units, including computer, research, critical, information, domain-specific knowledge and copyright literacies in line with learning and communication skills. The panelists considered computer, research and critical literacies as the most significant components of an information literacy curriculum for postgraduates.

The proposed framework of information literacy curriculum may have considerable implications for educators, practitioners and researchers.

The study is unique as it focuses on developing a contextual and comprehensive information literacy education framework for information professionals.

The purpose of this paper is to embark on evaluating the role of Chat Generative-Trained Transformer (ChatGPT) in personal knowledge management (PKM) practices of individual knowledge workers across varied disciplines.

The methodology involves four steps, i.e. literature search, screening and selection of relevant data, data analysis and data synthesis related to KM, PKM and generative artificial intelligence (AI) with a focus on ChatGPT. The findings are then synthesized to develop a viewpoint on the challenges and opportunities brought by ChatGPT for individual knowledge workers in enhancing their PKM capability.

This work highlights the prevailing challenges and opportunities experienced by knowledge workers while leveraging PKM through implying ChatGPT. It also encapsulates how some management theories back the cruciality of generative AI (specifically ChatGPT) for PKM.

This study identifies the challenges and opportunities. from existing studies and does not imply empirical data/result. The authors believe that findings can be adjusted to diverse domains regarding knowledge workers’ PKM endeavors. This paper draws some conclusions and calls for further empirical research.

ChatGPT’s capability to accelerate organizational performance compelled scholars to focus in this domain. The linkage of ChatGPT to Knowledge Management is an under-explored area specifically the role of ChatGPT on PKM hasn't been given attention in the existing work. This is one of the earliest studies to explore this context.

This case serves as a useful backdrop for discussing a few important conceptual frameworks in the field of finance. The dilemmas are still evolving for Sharīʿah-compliant asset management company (AMC); i.e. Al Meezan, and may seem complex to the students – particularly in the Pakistan’s financial structure – but framing the discussion from a market perspective ought to help the students of finance.

This case study focuses on Al Meezan Investment Management Limited (Al Meezan) journey since inception. Al Meezan is a full-fledged Sharīʿah-compliant AMC and one of the major players in the mutual funds industry of Pakistan. Al Meezan offers a comprehensive range of Sharīʿah-compliant investment solutions especially designed to meet the financial goals of their existing and potential clients. The case study covers all the key events before the inception of Al Meezan, from late 1990s till March 2020. The case is based on interview with chief executive officer (CEO) (the protagonist) of Al Meezan. The case also covers various challenges faced by Mohammad Shoaib, CEO and his senior team, to make Al Meezan a vibrant institution offering Islamic financial services.

This case is aimed at undergraduate students in their final year (i.e. taking electives in the field of Finance/Islamic Finance) or graduate students majoring in Finance/Islamic Finance.

Teaching notes are available for educators only.

CSS1: Accounting and Finance.

Artificial intelligence (AI) offers many benefits to improve predictive marketing practice. It raises ethical concerns regarding customer prioritization, market share concentration and consumer manipulation. This paper explores these ethical concerns from a contemporary perspective, drawing on the experiences and perspectives of AI and predictive marketing professionals. This study aims to contribute to the field by providing a modern perspective on the ethical concerns of AI usage in predictive marketing, drawing on the experiences and perspectives of professionals in the area.

The study conducted semistructured interviews for 6 weeks with 14 participants experienced in AI-enabled systems for marketing, using purposive and snowball sampling techniques. Thematic analysis was used to explore themes emerging from the data.

Results reveal that using AI in marketing could lead to unintended consequences, such as perpetuating existing biases, violating customer privacy, limiting competition and manipulating consumer behavior.

The authors identify seven unique themes and benchmark them with Ashok’s model to provide a structured lens for interpreting the results. The framework presented by this research is unique and can be used to support ethical research spanning social, technological and economic aspects within the predictive marketing domain.

La Inteligencia Artificial (IA) ofrece muchos beneficios para mejorar la práctica del marketing predictivo. Sin embargo, plantea preocupaciones éticas relacionadas con la priorización de clientes, la concentración de cuota de mercado y la manipulación del consumidor. Este artículo explora estas preocupaciones éticas desde una perspectiva contemporánea, basándose en las experiencias y perspectivas de profesionales en IA y marketing predictivo. El estudio tiene como objetivo contribuir a la literatura de este ámbito al proporcionar una perspectiva moderna sobre las preocupaciones éticas del uso de la IA en el marketing predictivo, basándose en las experiencias y perspectivas de profesionales en el área.

Para realizar el estudio se realizaron entrevistas semiestructuradas durante seis semanas con 14 participantes con experiencia en sistemas habilitados para IA en marketing, utilizando técnicas de muestreo intencional y de bola de nieve. Se utilizó un análisis temático para explorar los temas que surgieron de los datos.

Los resultados revelan que el uso de la IA en marketing podría tener consecuencias no deseadas, como perpetuar sesgos existentes, violar la privacidad del cliente, limitar la competencia y manipular el comportamiento del consumidor.

El estudio identifica siete temas y los comparan con el modelo de Ashok para proporcionar una perspectiva estructurada para interpretar los resultados. El marco presentado por esta investigación es único y puede utilizarse para respaldar investigaciones éticas que abarquen aspectos sociales, tecnológicos y económicos dentro del ámbito del marketing predictivo.

人工智能（AI）为改进预测营销实践带来了诸多益处。然而, 这也引发了与客户优先级、市场份额集中和消费者操纵等伦理问题相关的观点。本文从当代角度深入探讨了这些伦理观点, 充分借鉴了人工智能和预测营销领域专业人士的经验和观点。旨在通过现代视角提供关于在预测营销中应用人工智能时所涉及的伦理观点, 为该领域做出有益贡献。

本研究采用了目的性和雪球抽样技术, 与14位在人工智能营销系统领域具有丰富经验的参与者进行为期六周的半结构化访谈。研究采用主题分析方法, 旨在深入挖掘数据中显现的主要主题。

研究结果表明, 在营销领域使用人工智能可能引发一系列意外后果, 包括但不限于加强现有偏见、侵犯客户隐私、限制竞争以及操纵消费者行为。

本研究通过明确定义七个独特的主题, 并采用阿肖克模型进行基准比较, 为读者提供了一个结构化的视角, 以解释研究结果。所提出的框架具有独特之处, 可有效支持在跨足社会、技术和经济领域的预测营销中展开的伦理研究。

The purpose of this study is to scrutinize the effect of corporate social responsibility activities (CSRA) of the firm on its financial performance (FP) and analyze the mediating role of innovation and competitive advantage (CA) in the relationship between CSRA and FP in the manufacturing sector of an emerging country, i.e. Pakistan.

Data has been collected through an electronic structured questionnaire from 300 middle-level and top-level managers by surveying different manufacturing firms of Gujranwala, Pakistan. The study’s hypotheses have been checked by analyzing the reliability and validity of data and applying confirmatory factor analysis and structural equation modeling through statistical package for the social sciences and analysis of moment structures.

Outcomes of this study supported the hypothesized model. It has been found that the CSRA plays a significant positive role in determining the FP of the firm. Furthermore, the CA and innovation have been proved as significant mediators between CSRA and FP.

The first time examining the intermediation of innovation and CA in the relationship between CSRA and FP is the primary input of this study to the literature. Practically, this study’s findings will help strategy makers of manufacturing firms in emerging countries develop better strategies for implementing CSRA, enhancing innovation, seeking CA and improving FP.

The purpose of current flow configuration is to spotlights the thermophysical aspects of magnetohydrodynamics (MHD) viscoinelastic fluid flow over a stretching surface.

The fluid momentum problem is mathematically formulated by using the Prandtl–Eyring constitutive law. Also, the non-Fourier heat flux model is considered to disclose the heat transfer characteristics. The governing problem contains the nonlinear partial differential equations with appropriate boundary conditions. To facilitate the computation process, the governing problem is transmuted into dimensionless form via appropriate group of scaling transforms. The numerical technique shooting method is used to solve dimensionless boundary value problem.

The expressions for dimensionless velocity and temperature are found and investigated under different parametric conditions. The important features of fluid flow near the wall, i.e. wall friction factor and wall heat flux, are deliberated by altering the pertinent parameters. The impacts of governing parameters are highlighted in graphical as well as tabular manner against focused physical quantities (velocity, temperature, wall friction factor and wall heat flux). A comparison is presented to justify the computed results, it can be noticed that present results have quite resemblance with previous literature which led to confidence on the present computations.

The computed results are quite useful for researchers working in theoretical physics. Additionally, computed results are very useful in industry and daily-use processes.

This study aims to investigate the trend of research on universities and accountability (UAA) in Southeast Asian (SEA) countries.

A total of 115 journal articles, conference papers, books and book chapters were obtained from the Scopus database spanning the years 1996–2023. These documents were subsequently analyzed using bibliometric methods.

The majority of UAA in SEA documents were published between 2007 and 2023 (106 documents, 92.19%). Scholars from both SEA countries and outside the region, particularly Australia, co-authored UAA in SEA documents. While scholars from Vietnam contributed the highest number of UAA in SEA publications (30 documents), scholars from Australia received the highest number of citations (878 citations). Collaboration between Vietnam and Australia emerged as the most productive partnership in conducting studies on UAA in SEA. Additionally, UAA in SEA documents were published not only in education-related outlets but also in other sectors, particularly in public policy. Furthermore, studies on UAA in different countries exhibited both similar and dissimilar interest keywords.

This study represents the first bibliometric analysis focusing on UAA in SEA literature. The insights and implications derived from this study are valuable for future researchers, university leaders and policymakers.

This research aims to examine the impact of intellectual capital on zakat performance in Indonesia.

The sample examined in this study consists of 39 zakat management organizations, encompassing 241 observations from 2010 to 2022. Zakat performance is measured using zakat excess efficiency score to align with the characteristics of zakat management organizations. The independent variables in this study are proxied by the components of intellectual capital. Data is analyzed using a panel data estimation technique.

The empirical findings indicate that human capital efficiency and capital employed efficiency positively and significantly impact zakat performance. In contrast, structural capital efficiency does not impact zakat performance. Meanwhile, value added intellectual coefficient positively and significantly impacts zakat performance.

The findings in this study highlight the significance of managing intellectual capital in zakat management organizations. Furthermore, this research provides input to mandate the amil to undergo certification, develop information technology in zakat management, and enhance synergy among zakat management organizations in zakat distribution. Additionally, zakat regulators must oversee and standardize zakat management according to what is stipulated in the zakat core principles.

This is one of the first studies using secondary data to examine intellectual capital and zakat performance in Indonesia.