From Bits to Brilliant Teams DOI

Bassam Samir Al‐Romeedy

Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 57 - 82

Опубликована: Дек. 31, 2024

The tourism and hospitality industry is experiencing a significant digital shift, with the incorporation of AI other tools into talent management becoming increasingly imperative. This chapter thoroughly examines technology applications in management. It emphasizes advantages prospects this integration, exploring various technologies such as AI-powered acquisition, AI-driven development, AI-enhanced employee engagement, AI-facilitated workforce analytics planning. concludes by proposing recommendations for organizations to maximize benefits these transformative refine their strategies.

Язык: Английский

AI-Driven Strategies for Customer Engagement, Market Segmentation, and Resource Optimization DOI
Bhupinder Singh, Christian Kaunert

Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 104 - 128

Опубликована: Июль 26, 2024

With the development of AI, several sectors have undergone radical change thanks to availability advanced tools for data analysis and decision-making. Artificial intelligence has unparalleled prospects augmenting efficacy efficiency in domains client interaction, market classification, resource allocation. AI-driven chatbots improve customer service by answering questions, handling tasks, offering round-the-clock assistance. These are equipped with natural language processing (NLP) comprehend react inquiries. It looks at how tactics might boost consumer satisfaction, streamline corporate processes, allocate resources more effectively. Businesses may tailor marketing campaigns, handle effectively, obtain a better understanding behavior utilizing machine learning algorithms, processing, analytics. This chapter examines artificial (AI) is revolutionizing segmentation, management interaction.

Язык: Английский

Процитировано

14

Unleashing the Ethical and Legal Implications of E-Business Revolution DOI
Bhupinder Singh,

Anita Singh,

Christian Kaunert

и другие.

Advances in e-business research series, Год журнала: 2024, Номер unknown, С. 157 - 180

Опубликована: Сен. 20, 2024

Digital transformation typically requires gathering and handling extensive amounts of data. E-commerce offers immense opportunities for businesses to access global markets make purchases from anywhere. It can enhance business processes, much like phones, faxes, mobile communications have in the past. However, any new tool, e-commerce comes with its own set issues risks. Understanding ethical legal aspects is crucial creating a safe secure trading environment both customers businesses. To ensure long-term success e-business, there been calls robust enabling framework, particularly legislative. Stakeholders are seeking more stable conducting routine consumer transactions. This chapter focuses on privacy security concerns phase digital disruption concerning implications e-business revolution.

Язык: Английский

Процитировано

14

Scrutinizing Consumer Sentiment on Social Media and Data-Driven Decisions for Business Insights DOI
Bhupinder Singh, Christian Kaunert, Rishabha Malviya

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2024, Номер unknown, С. 183 - 210

Опубликована: Авг. 28, 2024

AI tools have the capability to analyze emotions conveyed in substantial text inputs such as customer reviews or feedback. These algorithms categorize sentiment positive, neutral negative which offering valuable insights into customers' sentiments. The manual analysis of extensive data is both impractical and time-consuming. Business Intelligence, a fundamental aspect analytics, encompasses gathering, presentation business information facilitate strategic decision-making. Traditionally, Intelligence played crucial role organizing visualizing historical data, past performances. Artificial driven by advanced machine learning, surpasses constraints traditional unlocking ability predict future trends, behaviors outcomes. This chapter comprehensively explores diverse arena BI for fostering sustainable growth via analyzing consumer sentiments on social websites.

Язык: Английский

Процитировано

13

Transforming Smart City and Smart Sustainable Tourism Projecting Artificial Intelligence and IoT DOI
Bhupinder Singh, Christian Kaunert

Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 55 - 80

Опубликована: Авг. 16, 2024

The swift progress of technology has led to the emergence notions smart cities and tourism, which are expected significantly transform both urban living travel experiences. Modern is used by maximize services, increase sustainability, improve quality life for their citizens. A subset this more comprehensive strategy called “smart tourism” focuses on using these technologies travelers' experiences make travels frictionless, educational, pleasurable. Cities that effectively utilize have potential not just standard its citizens but also offer tourists unique sustainable These ideas will surely be crucial in determining how future tourist destinations shaped as they develop further. This chapter explores mutually beneficial link between tourism cities, emphasizing advantages, difficulties, developments.

Язык: Английский

Процитировано

8

Artificial intelligence in the workplace – challenges, opportunities and HRM framework: a critical review and research agenda for change DOI
John Mendy,

Apoorva Jain,

Asha Thomas

и другие.

Journal of Managerial Psychology, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 8, 2024

Purpose This paper specifically aims to examine how (via which activities, methods and capabilities) organizations’ management deploy Artificial Intelligence (AI) systems address underperformance. Five mitigation strategies/recommendations are introduced manage the challenges facilitate greater efficacies in changing organizations. Design/methodology/approach conceptually synthesizes 47 articles, thematically reports critically analyzes AI–HRM–managerial decision-making relationship organizations discusses impacts. Findings The results highlight three significant opportunities for organizations: (1) job performance challenges, (2) organizational HR (3) collaborative intelligence opportunities. Originality/value paper’s originality lies addressing current lack of a theoretical framework guiding HRM AI experts on managerial strategic capabilities needed underperformance their impacts facilitating collective human–AI collaboration By further capturing an innovative Framework’s human, AI, employees’ well-being, (4) jobs (5) performance, its five key recommendations/strategies, this develops two concepts: “technological servitization” “re-ontological in-securitization” advance theory Managerial Psychology regarding unintended/paradoxical consequences managements’ AI-driven interventions, including meaninglessness

Язык: Английский

Процитировано

4

Redefining Intellectual Property DOI
Bhupinder Singh, Christian Kaunert, Manmeet Kaur Arora

и другие.

Advances in finance, accounting, and economics book series, Год журнала: 2025, Номер unknown, С. 183 - 204

Опубликована: Янв. 14, 2025

Intellectual property rights (IPRs) are the key elements to promote innovation, creativity, and economic growth. This allows creators inventors gain fruits of their labour invention, as IPRs may be enforceable by law. in turn helps drive investment individuals organizations into further research development that then creates new products, services, technology. And even maintain fair competition blocking unauthorized use or distribution product which end protects speaker from copycat theft it gives full compensation for efforts people behind products ideas. chapter examines evolving impact artificial intelligence (AI) on intellectual (IP) laws jurisprudence. It explores challenges opportunities posed AI relation copyright, patent, trademark law discusses implications future legal frameworks.

Язык: Английский

Процитировано

0

Human Resource Management in the 5.0 Era DOI
P. Bhanumathi

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 103 - 136

Опубликована: Янв. 31, 2025

The book chapter focuses on human Resource management with Industry 5.0, emphasizing the latest technologies, analytics, and various human-centric methods. In rapidly developing era, HRM must embrace leveraging technologies to foster creativity, innovation, employee mental well-being. relevance of Human Management in benefits 5.0 compared 4.0. role era its implications. It emphasizes how AI can be leveraged transform HR processes functions 5.0. enhances experience engagement Era. AI-based recruitment onboarding, ethicality using technology HRM, use cases companies their processes, challenges they generally face solutions.

Язык: Английский

Процитировано

0

Future of work and talent development realities: a qualitative analysis from a developing country perspective DOI
Shamsul Huq Bin Shahriar

Journal of Management Development, Год журнала: 2025, Номер unknown

Опубликована: Янв. 31, 2025

Purpose This study seeks to investigate talent development practices within the evolving business landscape, focusing on human resources in Bangladesh. Design/methodology/approach Due study’s complexity, qualitative research methods were chosen. Data collection involved interviews with two clusters: Cluster A comprised 20 HR professionals at least years of management experience, recruited through purposive sampling. B in-depth seventeen employees from various departments, excluding HR. Findings The findings revealed that acquisition strategies are shifting toward hiring experienced for critical roles, emphasizing expertise. While organizations prioritize aligning long-term goals, concerns persist over unethical processes. Succession planning emerges as vital leadership continuity and agile gain traction. Additionally, digital transformation reshapes methods, while employee self-development initiatives increasingly valued. Employer branding plays a crucial role acquisition, employer serving key components process. Practical implications offers actionable insights Bangladesh overhaul ensuring alignment objectives, adopting leveraging transformation. These essential cultivating future leaders’ adeptness navigating landscape. Originality/value paper valuable into work (FoW) practices, particularly unique perspective developing nations. sheds light how these regions navigate challenges opportunities, which may differ those first-world corporate cultures.

Язык: Английский

Процитировано

0

The Impact of Artificial Intelligence on Human Resource Management DOI
Tshepo Maota, Vannie Naidoo

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 311 - 342

Опубликована: Фев. 21, 2025

The rapid advancements in artificial intelligence have significantly impacted various aspects of modern organisations, including human resource management. This research paper delves into the impact AI on three typical HRM problems: employee productivity evaluation, recruitment, and talent assessment. investigates current state practices these areas, as well associated benefits barriers, proposes conditions for effective implementation HRM. Additionally, discusses necessary cultural transformation required to address challenges adopting offers theoretical practical insights organisations aiming leverage power their practices.

Язык: Английский

Процитировано

0

The Integration of AI in Performance Appraisal DOI

Thean Pheng Lim,

Kamalesh Ravesangar

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 321 - 352

Опубликована: Фев. 28, 2025

Integrating artificial intelligence into human resource management practices, particularly in performance appraisal, transforms how organisations evaluate and manage employee performance. AI-driven systems offer enhanced accuracy efficiency through continuous data collection analysis. Yet, judgement remains indispensable capturing the nuances of behaviour, interpersonal dynamics, organisational culture. This chapter explores balance between automation oversight emphasising need for a hybrid model that leverages both strengths. examines AI's role management, focusing on its advantages limitations. It also offers conceptual to integrate with judgment. framework highlights critical judgment, ensuring AI enhances rather than supplants decision-making processes. By leveraging complementary strengths insight, can develop equitable efficient evaluation systems.

Язык: Английский

Процитировано

0