Dr.Aftab Ara

The study focuses on the use of intelligent technologies in sustainable town planning and smart city learning, both of which are needed to solve new urban problems. According to recent studies, there is a knowledge gap about studies related to smart urban planning and smart city studies The purpose of this study is to propose a way of smart city education and sustainable urban planning with necessary modern technology prioritizing citizen engagement and environmental sustainability. The principal objective of the study is to provide research-based recommendations on incorporating field-based activities in the course of smart city education. To accomplish this objective, the study uses five in-depth case studies. Each of the three case studies are real case. The potential implication of the study is to transform urban planning education, thus enhancing the participation of citizens in urban and city development. The findings provide a holistic approach by integrating technology, urban planning, and sustainability to improve urban living for sustainable, future smart city developments. This research hopes to provide insight into how new and existing technologies can create improved and more efficient urban areas across the globe.

Abstract Saudi Arabia ranks amongst those nations with the highest amount of fossil carbon dioxide emissions. Due to the rising environmental and economic sustainability challenges in Saudi Arabia, investigating environmental sustainability in the nation has become imperative. Similar to business organisations, universities in Saudi Arabia are also intensifying their initiatives to enhance sustainability, contending with the nation’s established dependence on increasing greenhouse gas emissions, high energy and fossil fuels. There is a gap in research on the green human resource management (GHRM) practices of these universities aimed at promoting sustainability with the involvement of their faculty members. To address this gap, this study employs ability–motivation–opportunity (AMO) theory and change management theory to examine the effect of GHRM practices on the organisational citizenship behaviour towards environment (OCBE) and environmental performance (EP) of universities in Saudi Arabia. This study also investigates the moderating effect of technological competence and resistance to change on the association of GHRM practices with OCBE and EP. Results demonstrate that all three GHRM practices (green training and development, green employee involvement and green performance appraisal) have a positive and significant impact on OCBE, which subsequently influences EP. The mediating effect of OCBE and the moderating effects of technological competence and resistance to change were also confirmed. This study advances the existing research on the influence of GHRM practices on environmental outcomes through the lens of the AMO framework and change management theory in the university context of Saudi Arabia. This pioneering study also explores the role of technological competence and resistance to change as moderators in the above relationship. In addition to theoretical implications, this study offers novel insights for policymakers in higher educational institutions.

Business intelligence (BI) has emerged as a powerful tool for transforming human resource (HR) practices, particularly in employee performance management. This study aims to investigate the relationship between BI-driven HR practices, employee retention, and organizational performance, and to develop a framework for the effective integration of BI into HR processes. Through a combination of literature review, case studies, surveys, and interviews, this study assessed the effectiveness of BI-driven HR practices and developed a framework for integrating BI into HR processes. This study seeks to provide valuable insights for HR professionals looking to leverage BI to improve their practices and contribute more effectively to organizational success. The findings of this study are expected to have significant implications for the future of HR, as organizations increasingly recognize the strategic importance of data-driven decision-making in managing their workforce.

Business analytics (BA) uses data and analytical tools to aid in making decisions and upgrading business performance. In the era of digitalization, BA has become an important strategy for many organizations to provide data about customer habits, market status, and business operational performance. Unfortunately, due to diverse economies lacking the level of development, resource endowments, and political stability issues, the MENA region faces several obstacles and opportunities in leveraging BA to support its local economic development. Therefore, there is a need to identify and address the gaps and needs of the MENA region in terms of BA adoption and implementation. This research aims to explore how BA can be used for regional economic success in the MENA region. In this paper, qualitative and quantitative data collection and analysis are used to explore the role of business analytics (BA) in the economic growth of the local MENA region. A qualitative approach is utilized by interviewing managers and experts in addition to secondary data sources. The study infers that BA has a crucial role in amplifying business performance and competition in the MENA region. BA contributes to creating jobs, developing skills, encouraging innovations, and refining customer services. BA acquisition and implementation bring with it a few challenges like resistance to changes, budget constraints, and data quality issues. The chapter helps in convincing policymakers, practitioners, and researchers to address the challenges faced and take advantage of BA in their work culture. Overall, the chapter points out the capabilities of BA in the economic growth of the local MENA region and suggestions to deal with challenges faced in its implementation.

AI integration with HR systems opens up the potential for raising decision quality and operational efficiency. However, firms must cultivate employee trust to integrate AI into HR procedures. The main goals of this study are to identify the crucial aspects impacting employee trust in AI-enabled HR tools and to explore commercial applications of AI for crucial HR tasks. The goal is to increase employee trust in AI-driven HR systems. The study uses a mixed-method approach, including surveys and interviews, to conceptualize and highlight feedback mechanisms, communication tactics, and employee involvement in fostering trust. This study systematically examines the factors influencing employee trust in AI-driven HR systems, establishing a robust positive correlation between trust and the effectiveness of training interventions (r = 0.683). The findings demonstrate that employees who are younger and more highly educated generally exhibit higher levels of trust in AI technologies. Additionally, concerns regarding algorithmic bias are notably more pronounced among female respondents. These results highlight the critical need for organizations to implement targeted, comprehensive training programs to address the ethical dimensions of AI and mitigate biases inherent in these systems. By prioritizing such initiatives, organizations can foster a culture of transparency and trust, thereby driving enhanced employee engagement, facilitating greater acceptance of AI technologies, and ultimately optimizing organizational performance.

The introduction of Chat-GPT in 2022 has sparked discussions within the educational community about its ethical implications. As AI-based applications proliferate, they offer interactive learning avenues in the scholarly community. This research seeks to investigate the impact of AI-enabled personalized learning in higher education and explore collaborative strategies between humans and AI systems to enhance teaching and learning processes. Employing a quantitative approach, the study will analyze data collected from students and educators. The research findings will shed light on the discrepancies between traditional human-led education systems and AI-driven approaches. Additionally, the research will make practical and theoretical contributions to existing literature. The insights gained from this research will assist stakeholders in comprehending and embracing future educational practices that involve AI technologies

Data visualization is a critical tool in healthcare for enhancing data comprehension, facilitating information extraction, and effectively communicating findings. This study aims to underscore the significance of data visualization in improving patient care, recognizing disease trends, and streamlining healthcare processes. Through the utilization of interactive dashboards, predictive models, and scoping reviews, healthcare professionals can access real-time data, support early intervention, and identify research gaps. While existing studies validate the effectiveness of data visualization in healthcare analysis and optimizing hospital performance, further research is necessary to fully grasp the impact of interactive visualization techniques on healthcare sectors and patient outcomes. The implications of this research are vital for advancing healthcare practices and enhancing overall patient well-being.

Consumer perceptions and ethical considerations in AI-powered e-commerce are influenced by various factors. The introduction of AI in e-commerce, as discussed by Sharma and Khrais, has the potential to predict customer behavior and personalize the shopping experience, but also raises ethical concerns. These concerns include the need for responsible and transparent use of AI and the development of explainable AI models to address issues of trust and privacy. By investigating the factors that shape consumer attitudes and behaviors towards AI-powered commerce, the study aims to provide insights into the ethical implications of AI adoption and inform businesses, policymakers, and researchers about the potential challenges and opportunities in this domain. This study implies that businesses and policymakers should be aware of the potential ethical implications of AI adoption and take appropriate action. Additionally, researchers should study further to understand the potential implications of AI-powered commerce.

This chapter delves into the factors influencing the implementation of business analytics in the healthcare sector of MENA (Middle East and North Africa) countries. A comprehensive theoretical model has been developed to encompass various organizational, technological, human, and external factors. The data analysis plan involves both descriptive and inferential statistical methods to analyze the collected data. Regression analysis, factor analysis, and correlation analysis will be used to examine the relationships between the identified factors and the success of business analytics implementation. Additionally, qualitative analysis will be conducted to identify common strategies and approaches that have been effective in overcoming barriers to the adoption of business analytics in healthcare. The findings of this study will contribute to the existing body of knowledge on business analytics adoption in healthcare and provide insights for managers and policymakers in MENA countries to overcome barriers and promote the effective utilization of business analytics in the healthcare sector.

Today petabytes of data are stored in healthcare sector such as clinical and pharmaceutical and academic research archives. Trillions of structured and unstructured data are continuously streaming from wearable sensors such as activity trackers, continuous glucose monitoring devices, and implantable defibrillators. Present day machine learning diabetes management applications are helping numerous patients to live healthier lives by having easy access to advice and information from health specialists. The advent of digital devices and sophisticated analytics has attracted traditional companies into the digital revolution. The paper studies how Zion China technical solution E-Followup which was based mostly on traditional Business Intelligence with data sourced from on-premises and various devices or cloud storage. In this engagement, they wanted a smart, fast, and cost-effective way to continuously feed data from devices to the cloud and had other technical goals. The result provide an insight how they handled massive data volumes efficiently and improved analysis of data.

Knowledge Management approach is the incorporation of people, processes and technology involved for designing, capturing and executing the intelligent infrastructure of an organization. It permits the people within an organization to share, lead to improved services and results. KM plays an important role in the upgrading of organizational competitive advantage by sharing of best practices, accomplishing better decision making faster response to key institutional issues, better process handling and improved people skills. This article focuses on the history of KM, distinguishing data, information knowledge and Knowledge Management and strategy of Infosys for finding solutions to acquire, retain and build a satisfied customer base. The methodology of study is both primary and secondary from published articles and customer reviews. The study helps in reinvention of the wheel, relevant and focused policies in compliance with company's goals and objectives which will help in improving customer retention and their satisfaction by applying KM strategies as it is known that the apparent failure in KM initiatives is caused due to lack of sharing culture, awareness of the benefits of KM and a failure to assimilate KM into our working practices.

Cloud can provide infrastructure, platform, and software resources as services to big data. Big Data gives substantial value to organizations who implement cloud in their infrastructure. Big data and cloud technology converge to make big data analytics in clouds a reasonable option. Big data analytics is growing to include data from multitude of sources .Most of the largest-volume, fastest-streaming, and most complex data can be source of big data. Cloud for Big Data Analytics is also known as Data Analytics as a Service. Enterprise of all types use cloud service to reduce capital cost as they provide resources required to run their applications. The objectives of my paper is introducing big data and cloud, giving an insight to interleaving big data and cloud technology, and giving brief explanation about Data Analytics as a Service trends and limitations. The paper describes the future or trends of Cloud for Big Data Analytics. The methodology of my study is from secondary source i.e. from journals, white papers, tutorials, conference proceedings, technological papers and websites.

This study focuses on the empirical investigation of the two stage impact of Human Resource Information Systems (HRIS) on the Organizational Performance (ORP). The dimensions of the HRIS considered in this study include General Administration (GAD), Training (TRN), Recruitment (RCT), Performance Evaluation (PFE), and Data Management (DTM). In the first stage, the influences of the dimensions of HRIS on Operational efficiency (OPE), Acceleration of the process (ACP), and Cost benefits (CBN) are studied. In the second stage, the influence of these three intermediate variables on the ORP is studied. The ORP includes both the Financial performance and Non-financial performance measures. The study has been carried out in select product and service industries with a sample size of 244 HR managers. The research methodology adopts a mixed method approach with both qualitative and quantitative research. While the qualitative component involves the analysis of data from questionnaire (primary source) and journals (secondary source), the quantitative analysis is through the analysis of the data obtained through questionnaire survey using 5-point Likert scale. The metric in the form of questionnaire has been developed to test the hypothetical model. The metric is tested through the standard procedure of construct, content and criterion validity. The second generation statistical technique of Structural Equation Modelling (SEM) using Partial Least Square Method (PLSM) has been adopted to test the hypotheses. The results have indicated that among the moderators, only cost reduction and operational efficiency have significant influence on organizational performance. HRIS intervention in training and performance evaluation both influence the cost reduction and operational efficiency significantly. General administration influences accelerated process and cost reduction. Performance evaluation has influence on operational efficiency and accelerated processes. Recruitment has failed to cause any significant influence on the endogenous variables of interest. Accordingly, implications have been drawn for the benefit of HR managers for the effective usage of HRIS as it contributes to the organizational performance.

With the surge of Information and Communication Technology (ICT) having such an impact on our lives, from PC to tablets to mobile phones there is a still a lacuna for ICT to be used in the education field .This study is mainly for developing special strategy for training the teachers and the taught .I have used my study at one of the leading university of Saudi Arabia at University of Hail (UOH). Here I have outlined the obstacles in adopting ICT, the leadership qualities, the competencies required for planning designing and enforcing the instructions to create a learning environment especially in a gender-segregated society. The methodology used for the study is both primary and secondary. In the primary method I have used questionnaire and interview of the female faculties. My main objective of this study is to gauge the exposure of ICT in their life, the obstacles in adopting ICT and the radical shift required to bring further development in the policy, curriculum and structure in bringing more better and brighter changes.

Cloud Computing has now become the next stage of internet’s evolution providing solutions from computing power to computing infrastructure, applications, business processes to education. The “cloud” in cloud computing is a set of hardware, network, storage, services which served over the internet from shared data centers using enormous economies of scale. To get a system which is secure, easily managed and cost-efficient we can use Cloud Computing, where instead of purchasing a huge lot of computers, we can now outsource computing from the remote cloud and pay as we use the service. As quoted by Steve Moore IT Director of Centur .Moving to the Cloud is completely cost-neutral due to the savings that has been incurred and there is perfectly no demarcation between users accessing data stored on a local server and users accessing data stored in Cloud infrastructure. My main objective of the paper is to present a case study of an institutions grappled by severe IT issues which were hampering its efficiency .Here I want to find the challenges, benefits and change E-Learning will provide to the learners so they can become the digital citizens. The data collected is by primary and secondary method. I have tried to find the challenges in the path, the benefits after adopting Cloud Technology ,security issues and the changes it brought by providing a solution to the present which is future-ready.

Green field projects are the present requirement of the economy and are sustainable in the long run. Thus the project commissioned with present requirements not only feasible for the economy but also brings growth and prosperity in the economy of a country. An increment to manufacturing production creates more economic activity both within and outside the sector than does a similar increment in any other major sector because of manufacturing’s high multiplier effect and its extensive linkages to other parts of the economy. Incremental growth in the sector is likely to increase R&D activity which leads to increase the intensity of innovation in manufacturing, boosts overall productivity growth and improve standard-of-living. Rourkela Steel Plant is the perfect example in the management of green field project for prosperity and growth. It’s continuous up gradation, innovation and modernization brings the sustainable development and growth. Greenfield in many disciplines is a project that is lacking the constraints imposed by previous work. The construction on Greenfield land does not need to remodel or demolish any pre-existing structure. This Project can be undertaken in a cellular network, computer networking or Greenfield investment opportunity in a marketplace that is completely untapped. In the present study of Rourkela Steel Plant, which is the first integrated steel plant in the public sector in India which was set up with German collaboration is the result of Greenfield Project .The purpose of our study is to find the problems faced by the Steel industry, the steps taken for by Greenfield Project and the contribution it has made to Orissa by its growth and prosperity. The methodology of study is purely qualitative and the results points out the problems, its implications, steps taken to revive the industry and its further contribution to Greenfield Project recently to the region, society and the nation as a whole.

Business Success sometimes brings its own challenges. In 1901, William M. Harley created his own blue-chip of the engine to fit in a bicycle, since then his journey began from a small business to a business tycoon as the manufacturer of Motorcycles along with genuine HarleyDavidson parts, accessories and collectibles. After being founded in 1903, Harley –Davidson Inc became headquarter of his group of companies as Harley-Davidson Motor Company (HDMC) and Harley-Davidson Financial Services (HDFS) in USA. The company enjoys a strategic position in marketplace with his valued customers who are extremely satisfied with the global standard and brand. Enjoying 98% customer retention, Harley basically keeps the workforce who are the close friends and families of his employees. Even after having such a remarkable success it faced challenges i.e. competition from lower priced competitors and expansion into overseas markets. At this instance, Harley –Davidson went to seek the help of Accenture, for improving its business strategies to meet the challenges. This study aims to clarify the role of HR in bringing changes in the organization. Information is collected by secondary data. The findings reveal the work done, providing an opportunity to gauge the company with other world-class companies and identify the practical actions take to improve our HR function and set the platform for future actions. Keyword: Strategic role, Automobile Industry, Employee retention, competency development