https://i-proclaim.my/journals/index.php/gdeb/gateway/plugin/WebFeedGatewayPlugin/atomGlobal Disclosure of Economics and Business2024-03-27T13:29:10+00:00Journal Managernizam@i-proclaim.myOpen Journal Systemshttps://i-proclaim.my/journals/index.php/gdeb/article/view/730Beyond Human Judgment: Exploring the Impact of Artificial Intelligence on HR Decision-Making Efficiency and Fairness2024-03-26T21:43:14+00:00Md Abul Khairabul.khairr193@gmail.comRavikiran MahadasaRavikiran.mahadasa@hotmail.comFerdouse Ara Tuliferdouse_ara_tuli@hotmail.comJanaki Rama Phanendra Kumar Andejanakiande.gs@gmail.com
<p>This study aims to evaluate the impact of artificial intelligence (AI) on the efficiency and fairness of human resources (HR) decision-making. The key goals are to determine how artificial intelligence improves decision-making efficiency, investigate the fairness issues involved in AI-driven human resource practices, and make policy suggestions for engaging in ethical HR practices. The approach utilized is known as secondary data analysis. It is used to synthesize insights and patterns by pulling upon previously published literature and empirical investigations; even though artificial intelligence technologies present an opportunity to optimize human resource operations and improve organizational performance, significant findings demonstrate that these technologies also create ethical problems connected to algorithmic biases and an absence of transparency. Regulatory oversight, ethical standards, data governance, diversity and inclusion programs, and constant monitoring and assessment are some of the policy implications that should be considered to guarantee responsible deployment of artificial intelligence in human resource contexts. When it comes to human resource decision-making, companies can embrace the revolutionary potential of artificial intelligence (AI) while maintaining ethical standards if they prioritize justice, openness, and accountability.</p>
2020-12-31T00:00:00+00:00Copyright (c) 2020 Md Abul Khair; Ravikiran Mahadasa; Ferdouse Ara Tuli; Janaki Rama Phanendra Kumar Andehttps://i-proclaim.my/journals/index.php/gdeb/article/view/729Evaluating the Impact of Liquidity and Solvency on Profitability: An Empirical Study2024-03-15T05:18:09+00:00Taposh Kumar Neogyneogyais@gmail.comMd. Solaiman Hossainneogyais@gmail.comMd. Obaidur Rahmanneogyais@gmail.com
<p>The study aims to assess how solvency and liquidity affect profitability. Five conventional PCBs were used as a sample in the investigation using the judgmental sampling technique. This study is considered a five-year study period spanning from 2015 to 2019. Annual reports of sample banks and other pertinent sources have been consulted in collecting and utilizing secondary data. The study used multiple regression analysis to examine how various liquidity and solvency indicators affect profitability characteristics. The findings indicate that cash ratio, CAR, DER, and DAR do not significantly affect ROA, whereas CR and WCR do. Conversely, although CR, CAR, and DER significantly impact EPS, cash ratio, WCR, and DAR have no considerable effect on EPS.</p>
2023-06-30T00:00:00+00:00Copyright (c) 2023 Taposh Kumar Neogy, Md. Solaiman Hossain, Md. Obaidur Rahmanhttps://i-proclaim.my/journals/index.php/gdeb/article/view/725Stochastic Optimization Models for Supply Chain Management: Integrating Uncertainty into Decision-Making Processes2024-03-12T04:55:08+00:00Dileep Reddy Godagodadileepreddy@gmail.comSridhar Reddy Yerramsridharreddyyerram5@gmail.comSuman Reddy Mallipeddisumanreddy4277@gmail.com
<p>This study examines how supply chain management can use stochastic optimization models to overcome the problems associated with decision-making uncertainty. The study's primary goals are reviewing the literature on stochastic optimization models in supply chain management, gaining a thorough grasp of their applications, and evaluating how well they integrate uncertainty into decision-making processes. The method includes a comprehensive assessment of the current literature body, including scholarly journals, conference proceedings, and reliable web sources to obtain pertinent data and insights. The significance of incorporating uncertainty into decision-making procedures, the adaptability of stochastic optimization models for diverse supply chain functions, and their function in augmenting supply chain resilience via proactive risk mitigation and sound decision-making are among the principal discoveries. The policy implications indicate that investments in data analytics capabilities, capacity building, training programs, and regulatory frameworks are required to facilitate the implementation of stochastic optimization models in supply chain management. This study advances knowledge in supply chain management and informs future research and practice.</p>
2018-12-31T00:00:00+00:00Copyright (c) 2018 Dileep Reddy Goda, Sridhar Reddy Yerram, Suman Reddy Mallipeddihttps://i-proclaim.my/journals/index.php/gdeb/article/view/724Data-Driven Decision Making: A Framework for Integrating Workforce Analytics and Predictive HR Metrics in Digitalized Environments2024-03-10T09:07:58+00:00Ferdouse Ara Tuliferdouse_ara_tuli@hotmail.comAleena Varghesealeenav031@gmail.comJanaki Rama Phanendra Kumar Andejanakiande.gs@gmail.com
<p>This research offers a methodology for combining predictive HR indicators and workforce analytics to support data-driven HRM decision-making in digitalized settings. The study investigated the difficulties, prospects, tactics for executing, and optimal approaches related to the amalgamation of workforce analytics and predictive HR metrics. Additionally, the study sought to ascertain the policy ramifications for both firms and legislators. The study thoroughly analyzed prior research and secondary data sources to investigate the topic. The significance of data quality and governance, organizational alignment and leadership support, cooperation and cross-functional engagement, training and development, piloting and iterative improvement, and ongoing learning and adaptation are among the key conclusions. To facilitate the adoption and optimization of data-driven decision-making in HRM, policy implications include the requirement for data governance frameworks, training and development programs, regulatory frameworks, and incentives for innovation. This framework offers insightful analysis and helpful recommendations for firms using data to improve workforce management procedures and foster organizational performance in digitalized settings.</p>
2018-12-31T00:00:00+00:00Copyright (c) 2018 Ferdouse Ara Tuli, Aleena Varghese, Janaki Rama Phanendra Kumar Andehttps://i-proclaim.my/journals/index.php/gdeb/article/view/717Crisis Management in South East Asia's Tourism Industry: Resilience and Adaptation Strategies2024-02-19T19:06:30+00:00Ferdouse Ara Tuliferdouse_ara_tuli@hotmail.comVishal Reddy Vadiyalavishal077269@gmail.com
<p>Crisis management in Southeast Asia's tourism industry is imperative due to the region's vulnerability to various crises, including natural disasters, health emergencies, political unrest, and economic downturns. This study investigates resilience and adaptation strategies employed by stakeholders to mitigate the impacts of crises and promote sustainable tourism development. The study's objectives include analyzing crisis types, stakeholder roles, and the effectiveness of strategies. Employing a secondary data-based review approach, the study synthesizes existing literature to identify critical insights. Significant findings highlight the importance of collaboration, innovation, sustainability, and adaptability in crisis management. Policy implications emphasize the need for proactive planning, stakeholder engagement, sustainable practices, and capacity building. The study underscores the importance of addressing limitations and contextual factors to enhance the resilience and adaptive capacity of Southeast Asia's tourism industry in navigating crises and promoting long-term sustainability.</p>
2022-12-31T00:00:00+00:00Copyright (c) 2022 Ferdouse Ara Tuli, Vishal Reddy Vadiyalahttps://i-proclaim.my/journals/index.php/gdeb/article/view/716Revolutionizing Customer Experience through Innovative Digital Marketing Approaches2024-02-19T13:45:46+00:00Parikshith Reddy Baddambaddamparikshith@gmail.com
<p>This study explores the transformative impact of innovative digital marketing approaches on revolutionizing customer experience in the contemporary business landscape. The study's main objectives are to examine the role of personalization, immersive technologies, and omnichannel integration in enhancing customer engagement and satisfaction, analyze the effectiveness of measurement and analytics in evaluating digital marketing initiatives' impact, and identify critical policy implications for businesses and policymakers. Utilizing a secondary data-based review approach, this study synthesizes insights from peer-reviewed academic journals, industry reports, and case studies to investigate emerging trends and best practices in digital marketing. Significant findings include the paramount importance of personalization in driving customer engagement, the considerable role of immersive technologies in creating memorable brand experiences, and the critical need for omnichannel integration to deliver seamless and cohesive customer experiences. Policy implications highlight the importance of privacy and data protection, digital inclusion, transparency in personalization efforts, and standardized measurement frameworks. Overall, this study underscores the transformative potential of innovative digital marketing approaches in shaping the future of customer experience.</p>
2022-12-31T00:00:00+00:00Copyright (c) 2022 Parikshith Reddy Baddamhttps://i-proclaim.my/journals/index.php/gdeb/article/view/715Community Engagement in Southeast Asia's Tourism Industry: Empowering Local Economies2024-02-19T10:15:34+00:00Shati Sarmin Rahmanshati.thm@fiu.edu.bdParikshith Reddy Baddambaddamparikshith@gmail.com
<p>Community engagement is increasingly recognized as a crucial component of sustainable tourism development in Southeast Asia. This study examines the role of community engagement in empowering local economies within the region's tourism industry. The main objectives were to analyze current community engagement practices, assess their impacts on regional economies, and identify challenges and opportunities for sustainable development. A secondary data-based review approach was employed, drawing from academic journals, reports, and government publications. Significant findings reveal that community-based tourism initiatives drive economic empowerment and foster cultural preservation and social cohesion. However, challenges such as power imbalances and environmental degradation persist. Policy implications underscore the need to strengthen community engagement mechanisms, promote sustainable tourism practices, support local entrepreneurship, and foster partnerships and alliances among stakeholders. By addressing these challenges and implementing appropriate policies, Southeast Asia can create more inclusive, resilient, and sustainable tourism destinations that benefit communities and visitors.</p>
2021-07-27T00:00:00+00:00Copyright (c) 2021 Shati Sarmin Rahman, Parikshith Reddy Baddamhttps://i-proclaim.my/journals/index.php/gdeb/article/view/714Evolution of Smart Farming: Integrating IoT and AI in Agricultural Engineering2024-02-09T06:01:36+00:00Mounika Mandapuramabcjournals@gmail.comRavikiran Mahadasaravikiranmahadasa1985@gmail.comPavani Surarapuabcjournals@gmail.com
<p>Smart farming, a confluence of the Internet of Things (IoT) and Artificial Intelligence (AI), is changing agriculture by infusing it with unrivaled levels of precision and sustainability. This is happening as a result of the convergence of these two technologies. IoT sensors methodically collect real-time data from the soil, weather, and livestock, and AI algorithms decipher this information to deliver practical insights into this technological symphony. This article captures the essence of smart farming, a transformative method that maximizes the use of resources, improves efficiency, and secures a resilient future for agriculture. Come with us as we travel where technology and the earth meet to create a more sustainable era in the age-old art of farming.</p>
2019-12-31T00:00:00+00:00Copyright (c) 2019 Mounika Mandapuram, Ravikiran Mahadasa, Pavani Surarapuhttps://i-proclaim.my/journals/index.php/gdeb/article/view/710Unraveling Java's Prowess and Adaptable Architecture in Modern Software Development2023-12-30T08:56:55+00:00Parikshith Reddy Baddamarif_natore@live.comVishal Reddy Vadiyalavishal077269@gmail.comUpendar Rao Thaduriarif_natore@live.com
<p>This research delves into the multifaceted landscape of the Java programming language, elucidating its fundamental strengths and adaptive architecture that have dominated the software development realm for nearly two decades. The study meticulously explores the objectives of deciphering Java's platform independence, leveraging its object-oriented paradigm, and evaluating its expansive ecosystem. By examining the findings related to Java's role in cross-platform development, web and mobile application development, enterprise software, and the Internet of Things (IoT), this research sheds light on the language's unparalleled versatility. The author's contribution lies in synthesizing a comprehensive overview of Java's features, from its robust security measures to its extensive standard library. This research underscores Java's pivotal role in shaping the ever-evolving landscape of software development and concludes with implications for future advancements in the field.</p>
2018-12-31T00:00:00+00:00Copyright (c) 2018 Parikshith Reddy Baddam, Vishal Reddy Vadiyala, Upendar Rao Thadurihttps://i-proclaim.my/journals/index.php/gdeb/article/view/708Navigating the Landscape of Mobile Banking in Bangladesh: A Critical Examination of Challenges and Opportunities2023-11-29T17:41:32+00:00B. M. Sajedul Karimbmsajedulkarim20@gmail.comMd. Rashed Billahrashediu9@gmail.comMost. Tania Khatuntaniaahmed16130@gmail.comNurunnaharnahar-cse-ru@yahoo.comMd. Afsarul Islamafsarcul7416@gmail.comMd. Mostafijur Rahmanmostafizrumgt@gmail.com
<p>Mobile Banking is an emerging alternate channel for providing banking services. The primary purpose of this study is to identify the problems of mobile banking and the benefits of mobile banking users in Bangladesh. For the research, both primary and secondary data were used. The total sample consisted of 158 respondents (male 69% and female 31%), and a semi-structured close-ended questionnaire was used. This study adopts a descriptive. Besides, we used the Likert Scale to range the satisfaction and dissatisfaction levels. A frequency test was done to measure the result, and then a graph was used to represent and show the findings efficiently. Statistical software SPSS version 16.0 was used to analyze data. The most significant result shows that 59.5 % of respondents face security and safety risks, and 46.8 % think mobile banking is a quick customer service and time-saving transaction system. So, to run the mobile banking service effectively and efficiently, proper care has been taken, and necessary steps to improve the quality of services.</p>
2023-06-30T00:00:00+00:00Copyright (c) 2023 B. M. Sajedul Karim, Md. Rashed Billah, Most. Tania Khatun, Nurunnahar, Md. Afsarul Islam, Md. Mostafijur Rahmanhttps://i-proclaim.my/journals/index.php/gdeb/article/view/707Digitization History and its Impact on the Economy, Employment, and Society2023-11-29T12:18:15+00:00Raihana Sadiaabcjournals@gmail.comFerdouse Ara Tuliarif_natore@live.comKaru Lalkaru.lal84@gmail.com
<p>The rapid Digitization of the global economy has ushered in a transformative era, leaving a profound impact on various facets of society. This article delves into the history of Digitization, tracing its roots from the emergence of computers to the Internet age. It explores how this digital revolution has increased economic productivity and efficiency, creating new opportunities for businesses and individuals. However, it has also raised concerns about job displacement and the digital divide. Ultimately, the article highlights the imperative for policymakers to balance technological advancement and inclusive economic growth to ensure a prosperous and equitable future.</p>
2023-06-30T00:00:00+00:00Copyright (c) 2023 Raihana Sadia, Ferdouse Ara Tuli, Karu Lalhttps://i-proclaim.my/journals/index.php/gdeb/article/view/703Business Security Threat Overview Using IT and Business Intelligence2023-10-12T13:31:03+00:00Upendar Rao Thaduriupendarrthaduri@gmail.com
<p>Through a critical reflection on how information systems (IS) are currently defined in the IS literature, this study aims to contribute to a more profound knowledge of information systems (IS). The research identifies a number of definitions of IS that may be found in the literature by employing the hermeneutic method for literature reviews. The examination of these definitions allows for the differentiation of four distinct perspectives on information systems (IS): a technology view, which emphasizes the technological aspects of IS; a social theory, which highlights the sociocultural factors of IS; a socio-technical view, which emphasizes the interconnection of technology and social elements; and a process view, which emphasizes the activity orientation of IS. This study critically examines the many methods of understanding and conceptualizing information systems and explores their contributions and limits. Based on this examination, the paper argues for developing an alternative socio-material understanding of IS based on a non-dualist, relational ontology.</p>
2017-12-31T00:00:00+00:00Copyright (c) 2017 Upendar Rao Thadurihttps://i-proclaim.my/journals/index.php/gdeb/article/view/702Business Value of Digitization: Curse or Blessing?2023-10-12T07:12:45+00:00Sreekanth Dekkatisreekanthd041987@gmail.comUpendar Rao Thaduriupendarrthaduri@gmail.comKaru Lalkaru021984@gmail.com
<p>Converting something from analog to digital form is called "digitization." Another name for this process is "digital enablement." To phrase it another way, digitization is converting an analog process into a digital form without making any changes to the analog process itself that are distinct. The research presents a concise history of digitization on a global scale, focusing on its influence on business research, the difficulties associated with assuring digital service quality, the contribution of digital transformation and mobilization to the scientific and business world, and evidence of the increasing importance placed on digital transformation.</p>
2016-12-31T00:00:00+00:00Copyright (c) 2016 Sreekanth Dekkati, Upendar Rao Thaduri, Karu Lalhttps://i-proclaim.my/journals/index.php/gdeb/article/view/700Relational Database Management Systems in Business and Organization Strategies2023-10-04T08:03:47+00:00Harshith Desamsettiharshithdesamsetti9@gmail.com
<p>A collection of interconnected, raw data is a database management system. This collection also includes programs or instructions that may be used to access the data. The enormous collection of data is typically referred to as a Database and contains information necessary to access the data. Providing a method to store and retrieve information held in the database is the management system's primary objective. The database makes it possible to store information more conveniently and efficiently. This article discusses the application used in database management systems and how the data in the application are associated by describing the backdrop of DBMS. This paper also discusses the application that is used in database management systems.</p>
2020-12-31T00:00:00+00:00Copyright (c) 2020 Harshith Desamsettihttps://i-proclaim.my/journals/index.php/gdeb/article/view/696React Native for Android: Cross-Platform Mobile Application Development2023-09-28T03:08:44+00:00Sreekanth Dekkatisreekanthd041987@gmail.comKaru Lalkaru021984@gmail.comHarshith Desamsettiharshithdesamsetti9@gmail.com
<p>React Native has been embraced by many companies, and some of the most well-known applications in the world, including Facebook, Uber, and Pinterest, are among those that have done so. Why is it so widespread? What does it mean to react natively? It will likely attribute a significant portion of its success to the company's ability to utilize a single codebase compatible with several platforms. The use of React Native is continually gaining more widespread support. While developing mobile applications, using React Native can have positive and negative effects, and this article will help us grasp both aspects. This study will provide all the necessary information before we use React Native in one of our applications. With this knowledge, we can determine if react native is the appropriate choice for our next project.</p>
2019-12-31T00:00:00+00:00Copyright (c) 2019 Sreekanth Dekkati, Karu Lal, Harshith Desamsettihttps://i-proclaim.my/journals/index.php/gdeb/article/view/692Interdisciplinary Nature of Computational Science Cases in Business Studies2023-08-15T17:43:20+00:00Amir Husenamirdu403@gmail.comSyed Mustafizur Rahman Chowdhurymustafiz@isu.ac.bd
<p>The intricate confluence of computational science and business studies heralds an unprecedented era in the academic and industrial landscape. This paper comprehensively explores this interdisciplinary nexus, delving deep into the transformative potential that computational methodologies bring to business arenas. From leveraging vast datasets in business analytics to pioneering financial models, computational tools are reshaping the very paradigms of business decision-making. However, these advancements are not without challenges. Ethical considerations, over-reliance on models, and the essentiality of human insight remain critical discussions. Moreover, the paper underscores the need for further collaborative research, emphasizing the importance of a symbiotic relationship between computational scientists and business professionals. As the digital age progresses, integrating computational science into business studies becomes beneficial and imperative for organizations seeking innovative solutions and sustained growth in an increasingly complex market environment.</p>
2023-06-30T00:00:00+00:00Copyright (c) 2023 Amir Husen, Syed Mustafizur Rahman Chowdhuryhttps://i-proclaim.my/journals/index.php/gdeb/article/view/662Application of Artificial Intelligence (AI) Technologies to Accelerate Market Segmentation2023-05-29T06:24:45+00:00Mounika Mandapurammounikamandapuram09@gmail.comSai Srujan Gutlapallisgutlapalli07@gmail.comManjunath Reddyreddymanjushari@gmail.comAnusha Bodepudianusha.bodepudi@workday.com
<p>In recent years, rapid advancements have been made in information technology, processing power, data handling systems, robotics, and artificial intelligence. These advancements have been made possible by recent developments in robotics. As a result of its tremendous potential and usefulness, it is currently being utilized in a wide variety of industries, including information technology, the retail sector, space science, the automotive industry, the entertainment industry, medical, transportation, medical, social sciences, and business management, amongst others. This article focuses on the exciting connotation between market segmentation and artificial intelligence (AI), which has emerged due to recent developments in the industry. Even while the propositions are being made, the ways of AI engagement in developing applications are being developed. Digital marketing, a legitimate application of marketing science, has successfully boosted customer engagement and provided value for businesses. This is performed by utilizing various digital and electronic services. In this article, we will discuss what artificial intelligence (AI) is and how recent AI breakthroughs influence the expansion and development of market segmentation. In addition, this article explores how the activities and functions of sales and marketing are affected by the various AI techniques and methodologies currently available.</p>
2020-12-31T00:00:00+00:00Copyright (c) 2020 Mounika Mandapuram, Sai Srujan Gutlapalli, Manjunath Reddy, Anusha Bodepudihttps://i-proclaim.my/journals/index.php/gdeb/article/view/657The Object-Oriented Database Management System versus the Relational Database Management System: A Comparison2023-05-08T03:17:41+00:00Mounika Mandapurammounikamandapuram09@gmail.comMd. Faruk Hosenfarukbagerhat@gmail.com
<p>Both object-oriented and relational database management systems are referred to as DBMS. The web-scale is expanding at an incredible rate, and with it comes an increase in mobile applications, technologies, and social media platforms. The rapid growth of these technologies produces a variety of structured and unstructured data in various forms, each of which has various consequences for data security. Using RDBMS and OODBMS, this study's methodology outlines the development, installation, and management process of multiple and complicated data sets. This study gives a documented study comparing different kinds of data stored in databases by employing two types of database techniques: relational database method and object-oriented database technique. We use a different fingerprint database for the web and mobile devices. This database is also managed using different technologies, such as MySQL, and it accommodates data generated using distinct methods. In addition, this study explores the benefits and advantages of the various databases and determines the ideal database management system for organizations. According to the survey's findings, RDBMS stores data and the relationships between them in tables, but OODBMS stores data in objects, in a manner analogous to Object-Oriented Programming (OOP). According to the study's findings, the primary distinction between relational database management systems (RDBMS) and object-oriented database management systems (OODBMS) is that RDBMS is a Database Management System based on the relational model. In contrast, OODBMS is a Database Management System that facilitates creating and modeling data as objects.</p>
2018-12-31T00:00:00+00:00Copyright (c) 2018 Mounika Mandapuram, Md. Faruk Hosenhttps://i-proclaim.my/journals/index.php/gdeb/article/view/656Relationship between the Corporate Disclosure and Profitability: An Empirical Analysis of the Commercial Banks in Bangladesh 2023-01-28T09:01:05+00:00Ranjit Kumar Dasranjitkumardasraj@gmail.com
<p>Disclosure is essential for interested users to make logical decisions. This study evaluates the extent of corporate disclosure and its relationship with the profitability attributives of banking companies in Bangladesh. To achieve the study purpose, this study has taken five private commercial banks in Bangladesh for five years from 2016 to 2020. The required data have been collected mainly from secondary sources. To reach the study findings per study objectives, the researcher has employed different statistical techniques, analyzed the various annual reports to calculate the level of corporate disclosure, and identified the different profitability attributives. The results of descriptive statistics show that the highest mean value is visible in the case of SB_3, and the lowest mean value is visual in the case of SB_4, but SB_4 and SB_5 show the lowest and highest standard deviation values. The ANOVA test results show significant variation in the level of corporate disclosure and different profitability attributes among the sample banks over the study period. The simple regression results show a substantial relationship between the corporate disclosure scores and profitability attributives. The effects of multiple regression present that other profitability attributes like profit before tax and earnings per share significantly impacted corporate disclosure scores. However, the remaining attributes, like operating profit, profit after tax, return on equity, and return on asset, had an insignificant positive impact on the corporate disclosure scores of the sample banks over the study period. This research study has recommended that the management of the banking companies should take necessary steps to ensure an adequate level of corporate disclosure in reporting practices because the different stakeholders make any decision based on disclosing information.</p>
2022-12-31T00:00:00+00:00Copyright (c) 2022 Ranjit Kumar Dashttps://i-proclaim.my/journals/index.php/gdeb/article/view/653Behavioral and Perceptual Models for Secure Data Analysis and Management2022-12-06T02:30:31+00:00Sandesh Acharsandeshachar26@gmail.com
<p>The ability to monitor and forecast citizen behavior on a large scale developed to be a top target for governments subject to security and intelligence that are collective in the current worldwide culture where the web has become the primary medium for commerce and communication. Meanwhile, significant privacy-related issues have surfaced considering the innovative opportunities that artificial intelligence (AI) generates for collective behavior analysis when presented to governments as a way in which the government will comprehend. In the current study, we conducted an extensive literature analysis using techniques such as data mining and interviews such as in-depth to determine the primary uses of Artificial Intelligence that governments use and describe citizens' privacy issues. Our findings showed that the government employed 11 AI initiatives to enhance interactions with residents, local organizations, services offered by government agencies, and the economy, among other things. Issues are identified relating to the risk of behavior modification, intelligent decision-making, data privacy regulation and law, digital surveillance, and decision automation as they pertain to people's privacy when governments deploy AI. Finally, the report concluded that the debate of developing rules centered on the moral citizen data architecture gathering, with consequences for governments aiming to regulate security, morality, and data privacy. We also suggest a study schedule with 16 research questions to be investigated in future studies.</p>
2019-12-31T00:00:00+00:00Copyright (c) 2019 Sandesh Acharhttps://i-proclaim.my/journals/index.php/gdeb/article/view/652Enterprise SaaS Workloads on New-Generation Infrastructure-as-Code (IaC) on Multi-Cloud Platforms2022-11-03T15:53:22+00:00Sandesh Acharsandeshachar26@gmail.com
<p>Cloud Computing has become the primary model used by DevOps practitioners and researchers to provision infrastructure in minimal time. But recently, the traditional method of using a single cloud provider has fallen out of favor due to several limitations regarding performance, compliance rules, geographical reach, and vendor lock-in. To address these issues, industry and academia are implementing multiple clouds (i.e., multi-cloud). However, managing the infrastructure provisioning of enterprise SaaS applications faces several challenges, such as configuration drift and the heterogeneity of cloud providers. This has seen Infrastructure-as-Code (IaC) technologies being used to automate the deployment of SaaS applications. IaC facilitates the rapid deployment of new versions of application infrastructures without degrading quality or stability. Therefore, this work presents a vision of uniformly managing the infrastructure provisioning of enterprise SaaS applications that utilize multiple cloud providers. Hence, we introduce an initial design for the IaC-based Multi-Cloud Deployment pattern and discuss how it addresses the relative challenges.</p>
2021-07-20T00:00:00+00:00Copyright (c) 2021 Sandesh Acharhttps://i-proclaim.my/journals/index.php/gdeb/article/view/167Green Marketing for Creating Awareness for Green Consumerism 2022-10-17T14:28:31+00:00Mohammad Yunusarif_natore@live.comMohammad Toufiqur Rahmanarif_natore@live.com
<p>Green businesses are enterprises which consider environmental protection as an essential component for their long-term business objectives, both by promoting eco-efficient production activities and by marketing sustainable products and services (Barnes, n.d.). Green products may be defined as products or services that have a lesser or reduced bad effect on human health and the environment when compared with competing products or services that serve the same purpose (Website). The purposed of green business are (i) to promote more socially inclusive development (ii) to reduce environmental degradation (iii) to mitigate the effects of climate change (iv) to deal with pressures of population growth (v) to manage, issues of increased scarcity and volatile prices of raw materials effectively. Examples of green product are compact fluorescent lamps (CFLs), which use 75% less energy than ordinary incandescent ones, organic foods, which are grown and processed without antibiotics, pesticides, or synthetic fertilizers, hybrid electric vehicles such as the Toyota Prius, which achieves a fuel economy of 48 city-mpg and 45 highway-mpg (Website)., and green hotels, which are trying to conserve water, energy, and materials usage (Sharkey, 2008). Green business in practically existent everywhere around us. Company such as Wal-mart and General Electric transforming their business practices into green ones (Yeganeh & Glavas, 2008). In a study conducted by MeKinsey of 4,238 business executives in 116 countries, 84% believed that business should contribute to the public good; however, only 3% believe that their companies are currently doing a good job (McKinsey, 2006). Thus, green business is an enterprise that has no negative impact on the (i) environment (ii) economy (iii) society (iv) community. Further, it meets the requirement of the triple bottom line such as financial benefits of the company, natural world betterment and social advantages for employees and members of the local community. The triple bottom line gives importance on initial value instead of the after effects.</p> <p><strong>JEL Classification Code: M31; Q13; P46 </strong></p>
2014-06-30T00:00:00+00:00Copyright (c) 2014 Mohammad Yunus, Mohammad Toufiqur Rahmanhttps://i-proclaim.my/journals/index.php/gdeb/article/view/636Impact of Management Systems and Motivational Factors on Employee Satisfaction in the Health Sector: A Study on Rangpur City Corporation Area2022-07-22T11:55:41+00:00Afifa Isrotchetonabru@gmail.com
<p>This study sheds light on the relationship between Employee management and motivation (EMM) practices with employee satisfaction. The study's objective is to analyze the implementation of employee management practices, motivational factors in healthcare centers, and its impact on employees' perception, which leads to satisfaction or dissatisfaction. Employee Management includes workforce planning, induction compensation management, and employee motivation. The study focuses on employee motivation. It is the most critical factor for increased commitment, productivity, and involvement of employees in their job. Motivational factors include training and development, performance appraisal, promotion, etc. In addition, the study observed that those hospitals following systematically and scientifically EMM practices create high employee satisfaction levels. As a result, these employees are more committed to better performance.</p>
2022-06-30T00:00:00+00:00Copyright (c) 2022 Afifa Isrothttps://i-proclaim.my/journals/index.php/gdeb/article/view/630Usage Characteristics of Mobile Telecommunication Services: Individual Service Recipient Perspective in Rajshahi District of Bangladesh2022-06-09T11:17:38+00:00Md. Zahid Hossainzhbrur@gmail.com
<p>Mobile telecommunication services proved to be a significant part of everyday life for the people of Bangladesh. The study's primary purpose was to examine the usage characteristics of subscribers to know the reality through an empirical study. The research study was descriptive and quantitative in approach to drawing meaningful facts. This study was conducted in the Rajshahi district in the northern region of Bangladesh. The sample size resulted in three hundred and seventy-eight for completing the survey. A simple random sampling technique was used to draw samples from male and female sampling units. The research used a cross-sectional survey design to collect primary data. In addition, the researcher administered a structured questionnaire as a research tool to find out the facts from the individual service recipients. Research findings show that individual service recipients’ usage characteristics influence the service marketing mix and brand equity to achieve a competitive advantage. For example, the study found that consumers are more interested in using services other than voice calls through their affordability does not support it. Moreover, responses from service recipients varied significantly, which becomes a significant challenge for the operators to blend the elements of the marketing mix. This study also shed light on the Inconvenience or problems the recipients face in consuming services. For example, the topmost inconvenience service recipients face is 'poor service quality’ like network interruption, poor quality network, and poor quality video streaming experience. Finally, the study suggests mobile operators in Bangladesh need to trigger a marketing mix by consistently considering the dynamism of usage characteristics of individual service recipients to utilize their marketing investment, increase brand equity, and achieve a significant competitive advantage.</p>
2022-04-09T00:00:00+00:00Copyright (c) 2022 Md. Zahid Hossainhttps://i-proclaim.my/journals/index.php/gdeb/article/view/628The Implications of Artificial Intelligence for the Future of the Workforce Markets2022-03-19T10:24:14+00:00Mahesh Babu Pasupuletiarif_natore@live.comMd. Nur-E-Alam Siddiqueabcjournals@gmail.com
<p>Contrary to output and employment statistics, mechanization and artificial intelligence has always been viewed as threats to job security. Modern industrial robotization with worker replacement raises unemployment, yet there is evidence of its reduction. This book shows how, despite inevitable robotization and job loss, new trades and professions will emerge, just as in the previous three revolutions, in all sectors of goods, services, and the military. However, current publications confront them with the technological trend of the twentieth century, company activity, and its effect on the future labor market. Statistically, highly qualified organizations and employees adapt quickly. Negative implications include loss of low-skilled worker competitiveness, loss of union bargaining power, increased gender pay gap, and wider gap between high-tech industrialized and undeveloped countries. It is concluded that immediate improvements are required in educational programs, labor reforms, and financial reforms. Less developed countries will continue to fall behind unless they reform their economic policies innovatively and pragmatically.</p>
2021-07-15T00:00:00+00:00Copyright (c) 2021 Mahesh Babu Pasupuleti, Md. Nur-E-Alam Siddiquehttps://i-proclaim.my/journals/index.php/gdeb/article/view/627The Nexus between the Machine Learning Techniques and Software Project Estimation2022-03-14T10:18:29+00:00Md. Shelim Miaharif_natore@live.comMahesh Babu Pasupuletiarif_natore@live.comHarshini Priya Adusumalliarif_natore@live.com
<p>Machine Learning is an application of artificial intelligence that allows computers to learn and develop without explicit programming. In other words, the goal of ML is to let computers learn on their own without human involvement and then alter their activities. ML also allows huge data processing. Project management planning and evaluation are vital in project execution. Project management is difficult without a realistic and logical plan. We give a complete overview of works on Machine Learning in Software Project Management. The first category contains software project management research articles. The third category includes research on the phases and tests that are the parameters used in machine-learning management and the final classes of the results from the study, contribution of studies in production, and promotion of machine-learning project prediction. Our contribution also provides a broader viewpoint and context for future project risk management efforts. In conclusion, machine learning is more successful in reducing project failure probabilities, increasing output ratio for growth, and facilitating analysis on software fault prediction based on accuracy.</p>
2021-05-25T00:00:00+00:00Copyright (c) 2021 Md. Shelim Miah, Mahesh Babu Pasupuleti, Harshini Priya Adusumallihttps://i-proclaim.my/journals/index.php/gdeb/article/view/624Business Prospect of Recycling Household Wastage: A Study on Gopalganj District of Bangladesh2022-03-11T09:17:23+00:00Md. Solaiman Hossainabcjournals@gmail.comMd. Saiful Islamabcjournals@gmail.comAtia Ibnat Provaabcjournals@gmail.comMonisha Sahaabcjournals@gmail.comTaposh Kumar Neogytaposh.neogy@royal.edu.bd
<p>To find out the business prospect of recycling household wastage in Gopalganj districts the main target of this research. To conduct this research the authors have collected the data from both primary and secondary sources. Mainly, interview and observation methods have been used to collect primary data and various types of published and unpublished documents, websites, etc. have been used to collect secondary data. From this study, it has been found that there is a potential business prospect of recycling the household wastage and it will contribute significantly to increasing the land productivity and reducing the unemployment problem of Gopalganj district. If it is possible to implement this research idea, it will increase business opportunities and save the environment from pollution. To conduct this research it was very difficult for the authors to collect the data by physically observing the dumping sites.</p>
2022-03-11T00:00:00+00:00Copyright (c) 2022 Md. Solaiman Hossain, Md. Saiful Islam, Atia Ibnat Prova, Monisha Saha, Taposh Kumar Neogyhttps://i-proclaim.my/journals/index.php/gdeb/article/view/620Strategies to Reduce Occupational Fraud in Small Restaurants2022-03-02T17:35:47+00:00Angel Ortiz-Garcíaangel.ortiz24@upr.edu
<p>Occupational fraud is a growing business risk that is causing greater financial losses in small businesses than large businesses. Business owners lose approximately 5% of their revenues due to occupational fraud. The purpose of this multiple case study was to explore the strategies used by some business owners of small restaurants to reduce occupational fraud. The fraud triangle theory was the conceptual framework for this study. Three small restaurant owners from Puerto Rico participated in face-to-face, semi-structured interviews to reveal their successful strategies to minimize fraud. The data collection process also included business documents and researcher observations that assisted in establishing methodological triangulation. Using Yin’s 5-step process, data were coded and analyzed to identify emergent themes. The primary emergent themes obtained from data analysis revealed that owner monitoring, analytical procedures, and segregation of duties are effective strategies to minimize employee fraud. Participants revealed that implementing these strategies may reduce organizational losses associated with the fraud. The findings of this study may contribute to social change by reducing fraud activities, business failures, unemployment level, and criminality rate while promoting trust between community members and their institutions.</p>
2022-03-02T00:00:00+00:00Copyright (c) 2022 Angel Ortiz-Garcíahttps://i-proclaim.my/journals/index.php/gdeb/article/view/617Data Scientist Careers: Applied Orientation for the Beginners2022-02-27T10:07:00+00:00Mahesh Babu Pasupuletimaheshbp.gs@gmail.com
<p>A data scientist's job is making sense of complex, unstructured data that comes from a variety of sources, including smart devices, social media feeds, and emails, and that doesn't cleanly fit into a database structure. According to the findings of this study, Data Scientists require programming, mathematics, and database abilities, all of which may be learned by self-study or through formal education. Companies looking to hire a Data Science team must be aware of the wide range of tasks that Data Scientists may fill, as well as the need for soft skills such as storytelling and connection building in addition to technical abilities and knowledge. The interpretation emphasizes that high school students interested in pursuing a career in Data Science should learn programming, mathematics, databases, and, most importantly, exercise their newfound knowledge. The study's findings centered on data scientists as analytical specialists who employ their expertise in both technology and social science to discover patterns and manage data. The solutions to business difficulties are discovered via the use of industry expertise, contextual awareness, and skepticism of current assumptions.</p>
2016-12-31T00:00:00+00:00Copyright (c) 2016 Mahesh Babu Pasupuletihttps://i-proclaim.my/journals/index.php/gdeb/article/view/610Application Portfolio Profiling and Appraisal as Part of Enterprise Adoption of Cloud Computing2022-01-20T09:20:58+00:00Venkata Naga Satya Surendra Chimakurthichvnssurendra@gmail.com
<p>Computation resources have never been more affordable, powerful, or readily available than they are now, thanks to the Internet and the rapid advancement of processing and storage technologies. In response to this new trend in technological development, a brand-new computer paradigm is known as "cloud computing" has emerged. Resources are made available to end-users as general utilities that can be rented and released on-demand over the Internet. More and more corporate processes are being moved to the cloud as firms experience using the technology. Cloud adoption is substantially more complicated than we first thought when it comes down to data management, system integration, and managing various cloud providers. As cloud migration has grown more common, a number of have been plagued by failed application modernization initiatives or migration. However, many firms worldwide are finding that cloud computing is more expensive and more difficult to implement than they expected. Is cloud computing still up to the task in this scenario? Failures are largely due to a lack of planning in the early stages of identifying which legacy applications are best suited for private or public cloud deployment, resulting in cost and time overruns. Application portfolios need deliberate decision-making to reduce the risk of overruns and delays in migration. Consequently, a rough estimate of cloud operating costs (ROM) is required for inclusion in the planning phase of IT governance. ROM cloud run costs must first be gathered through an automated discovery process, followed by quantitative analysis. Accordingly, to assist in making an informed decision about whether or not to migrate legacy applications, we propose two methods: (1) gathering initial data through Application Portfolio Profiling (APP), and (2) performing Application Portfolio Assessment (APA). An Enterprise Cloud Computing Considerations Framework (CCCC) framework is used to help a corporation decide which legacy applications should be moved as part of the adoption process for Cloud Computing. In light of the shift in business models, infrastructure requirements, and other issues that arise when cloud computing is implemented, this decision is crucial.</p>
2019-12-31T00:00:00+00:00Copyright (c) 2019 Venkata Naga Satya Surendra Chimakurthi