Information, Год журнала: 2025, Номер 16(1), С. 51 - 51
Опубликована: Янв. 15, 2025
This paper examines the key factors recognized as transformative in field of human resource management (HRM) and explores their influence on global adoption artificial intelligence (AI). While AI holds significant promise for enhancing HRM efficiency, employee engagement, Decision Making, its implementation presents a range organizational, technical, ethical challenges that organizations worldwide must navigate. Change aversion, data security worries, integration expenses are major roadblocks, but strong digital leadership, company culture, advancements NLP machine learning enablers. complex analysis questions common perception only disruptive by delving into relationship between power dynamics, corporate technology infrastructures. In this paper, we bring together research from several fields to help scholars practitioners understand nuances HRM, with an emphasis importance inclusive methods frameworks.
Язык: Английский
Процитировано
1
Discover Artificial Intelligence, Год журнала: 2024, Номер 4(1)
Опубликована: Май 13, 2024
Abstract The rapid advancement of Artificial Intelligence (AI) in the business sector has led to a new era digital transformation. AI is transforming processes, functions, and practices throughout organizations creating system process efficiencies, performing advanced data analysis, contributing value creation organization. However, implementation adoption systems organization not without challenges, ranging from technical issues human-related barriers, leading failed transformation efforts or lower than expected gains. We argue that while engineers scientists excel handling data-related tasks, they often lack insights into nuanced human aspects critical for organizational success. Thus, Human Resource Management (HRM) emerges as crucial facilitator, ensuring are aligned with values goals. This paper explores role HRM harmonizing AI's technological capabilities human-centric needs within achieving objectives. Our positioning delves HRM's multifaceted potential contribute toward success, including enabling transformation, humanizing usage decisions, providing strategic foresight regarding AI, facilitating by addressing concerns related fears, ethics, employee well-being. It reviews key considerations best operationalizing through culture, leadership, knowledge, policies, tools. By focusing on what can realistically achieve today, we emphasize its reshaping roles, advancing skill sets, curating workplace dynamics accommodate implementation. repositioning involves an active aspirations, rights, individuals integral economic, social, environmental policies study only fills gap existing research but also provides roadmap seeking improve their journey.
Язык: Английский
Процитировано
6
Business Process Management Journal, Год журнала: 2025, Номер unknown
Опубликована: Фев. 3, 2025
Purpose The purpose of the paper is to conduct a review literature on human-robot collaboration across different functions and activities human resource management (HRM) discuss its importance for change readiness in organizations. Design/methodology/approach A bibliometric analysis was conducted identify emerging research themes fields resources (HR) robotics, including readiness. Based initial results analysis, systematic subsequently performed gain more specific understanding various HRM Findings from highlight that technological progression HRM, such as AI-driven staffing training techniques, improves effectiveness personalization but raises concerns about privacy job scrutiny. AI robotics performance evaluation enhance objectivity reduce subjectivity, which can lead disengagement. Generational differences, cultural factors emotional quotient complicate adopt new technologies. emphasizes balancing with employee involvement meaningfulness ensure successful implementation engagement. Originality/value This synthesizes existing research, literature, theoretical concepts models, best practices strategies implementing functions. It highlights gaps current suggests areas future advance field HRM. By doing so, this enhances while offering practical insights essential effective management.
Язык: Английский
Процитировано
0
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
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Open Journal of Business and Management, Год журнала: 2024, Номер 12(04), С. 2532 - 2552
Опубликована: Янв. 1, 2024
This study intends to explore the determinants of AI adoption and its impact on HRM effectiveness in Tanzanian medium enterprises (MEs). With a focus providing insights for HR professionals decision-makers, data from 185 respondents comprising professionals, IT CEOs who have already adopted was analyzed using PLS-SEM, where factors Relative advantage, Complexity, Compatibility, Security/Privacy, Top management, Organisation readiness, Competitive pressure, External support Government were tested AI. Results highlight relative compatibility, competitive pressure as key drivers Tanzania's context, subsequently enhancing systems' effectiveness. The bridges existing gaps offers recommendations integration into practices. Implications managers solution providers discussed facilitate better understanding influencing process within MEs. underlies theoretical by utilizing TOE model incorporating technological, organizational, environmental factors. recommends future exploration additional including larger sample enhance universality results.
Язык: Английский
Процитировано
1
Human Behavior, Development and Society, Год журнала: 2024, Номер 25(2), С. 126 - 136
Опубликована: Авг. 13, 2024
This research study delved into the intricacies surrounding adoption of Google's Gemini and its ramifications on employee interactions, daily operational tasks, overall job satisfaction within organizational contexts. Employing qualitative methodology, utilized in-depth interviews as primary data collection method. a purposive sampling technique, participant pool comprised diverse array eight individuals from various departments firms in Bangkok, Thailand to ensure inclusion different perspectives roles. Through content analysis, scrutinized multifaceted impact dynamics operations. The findings revealed that introduction significantly reverberated across three dimensions workplace dynamics: execution overarching sentiment among employees. While integration promises substantially augment productivity levels elevate workforce morale, nuanced balanced approach is imperative optimize benefits while mitigating potential drawbacks. necessitates deliberate focus preserving human elements indispensable for fostering dynamic, innovative, harmonious team environment amidst technological advancements facilitated by Gemini.
Язык: Английский
Процитировано
1
Опубликована: Июнь 28, 2024
Язык: Английский
Процитировано
1
Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2024, Номер unknown, С. 223 - 256
Опубликована: Окт. 11, 2024
Integrating Artificial Intelligence (AI) with sustainable marketing provides a transformative approach to fostering responsible business practices. This examination covers green, social, and critical theories, illustrating how AI improves efficiency personalisation in promoting sustainability. By leveraging AI, companies can better address consumer demands for eco-friendly products services. The exploration includes practical applications such as predictive analytics, targeted marketing, automated customer interactions, emphasising deployment's ethical considerations challenges. impact on corporate strategies AI's contribution achieving the UN Sustainable Development Goals are also highlighted. complexities of merging thoroughly evaluated, providing valuable insights into theoretical advancements implications. Future research directions suggested further enhance synergy between
Язык: Английский
Процитировано
1
International Research Journal of Modernization in Engineering Technology and Science, Год журнала: 2024, Номер unknown
Опубликована: Апрель 6, 2024
Artificial intelligence (AI) technology is quickly replacing the status quo in businesses across all industries.Accurate data collection and analysis to support business growth daily operations are critical today's highly competitive worldwide AI enables completion of work various sectors more effectively.Several departments, including finance, production, human resources, using AI.The culture an organisation can be developed, reinforced, or changed with use resources.Human Resources liable for several essential aspects organisational culture, compensation, performance management, training development, hiring onboarding, promoting values company.Due this quick acceptance, certain operations, resources management (HRM), optimise processes, increase efficiency, save operating costs, boost productivity.Artificial being incorporated into HRM which changing how interact their stakeholders they analyse data, foresee scenarios, take necessary actions.Employees must constantly up-skill ready adapt new practises depending on emerging technologies due rapid speed innovation advancement processes nowadays.This study aims determine whether artificial fully implemented HR managing performance.The paper's idea distinguishes between current application process its lack required.Hiring employees best HR.AI has potential streamline tedious tasks, improve procedures, time effort.Most crucially, brings assess a candidate's job fit his skillset, forecast offer-acceptance, maintain databases applicants recruitment process, allowing better quicker decision-making.It expected that such department would develop customizable learning programmes may customised each customer's requirements.To quantify impact business, will leverage detailed analytics at same time.
Язык: Английский
Процитировано
0