This article aims to show that, to more effectively use artificial intelligence to prosper, corporations also need to develop a digital knowledge-powered culture. This article is not to present data and comes from our 30 years of observations and consulting work experience in the fields of organizational transformation and emerging technology in the world. In this article, we propose that organizations develop a digital knowledge-powered culture to effectively address these concerns and increase the positive impacts of artificial intelligence technology in their corporations. The corporate world has never been the same since the invention of artificial intelligence technology and never will be. In today’s AI-centric era, shaping equals transformation. Shaping means changing the shape. In the cyberspace of AI, real-time transformations take place on the stage. The emerging technology of artificial intelligence is a powerful weapon but a neutral agent, and executives in the US and the other developed world now have two options: develop a digital knowledge-powered culture to use it or ignore such a culture to lose it. We particularly show that if executives select to use artificial intelligence, they should be aware that there is also one concern regarding an effective transformation for AI: cultivating an effective digital knowledge-powered culture for corporations.

The interest in knowledge management (KM) and its capabilities exists in all business sectors. Since 2009, and building on the result of Heisig's (2009) study, a few researchers have tried to create a new unified knowledge management framework, such as Evans et al. (2015) and Shongwe (2016). These frameworks and other heterogeneous knowledge management frameworks have been presented as holistic solutions that meet all sectors’ needs globally. Aiming to assist non-profit organizations implementing knowledge management programs, and as a part of a PhD thesis, this qualitative case study provides a practical and effective holistic KM framework dedicated to guiding NPOs in achieving their goals in serving surrounding communities and countries. This paper highlights pertinent issues in Knowledge Management framework development and implementation, which enhances the academic understanding and the practical implementation avenues for KM researchers and managers in the non-profit sector by suggesting common components of KM programs in NPOs led by a framework. This study is unique in presenting knowledge management components and framework derived from NPOs’ country, language, and culture to meet their specific needs and guide them in implementing successful KM programs.

Purpose. This study investigates the ethical dimensions surrounding the use of AI-driven cataloguing and classification systems, exemplified by ChatGPT, in library sciences. The research aims to fill a gap in the existing literature by exploring privacy, accountability, transparency, and bias issues associated with these technologies. Design/Methodology/Approach. The study employs a comprehensive literature review to analyze the current landscape of AI applications in libraries, emphasizing ethical considerations. It also assesses existing guidelines from associations like ALA and IFLA, and explores privacy concerns, biases, and the impact on job satisfaction. Findings. The study identifies gaps in current ethical frameworks and emphasizes the need for guidelines to evolve with technological advancements. Privacy concerns, biases in AI outputs, and challenges related to user trust and transparency are highlighted. The impact of AI on job satisfaction for librarians is discussed, acknowledging both opportunities and challenges. Originality/Value. This study contributes to the broader discussion on ethical AI by specifically addressing the underexplored area of AI-driven cataloguing and classification systems. It underscores the importance of aligning AI use with ethical standards, proposing strategies for mitigating biases and fostering user trust.

The pharmaceutical industry (PI) is recognized as a knowledge-intensive industry. Based on the perspective of managers in the subsidiary, this research proposes actions to facilitate knowledge sharing in the relationship between subsidiary and headquarters in a multinational pharmaceutical company. An exploratory case study was conducted. Data were collected from documental content analysis and fourteen interviews with managers from various areas and departments. The benefits include the possibility of participating in global projects and the resultant positive exposure accrued by the subsidiary. While the predominant knowledge flow is from the headquarters to the subsidiary, there is an opportunity to expand the flow in the opposite direction. Based on this study, actions designed to mitigate this point of disruption can be undertaken. This research offers a framework that encompasses the flow of knowledge, the main facilitators and barriers to knowledge sharing between geographically dispersed multinational units, as well as the knowledge sharing mechanisms.

In its 32nd year, the Business Information Review Survey captures insights from conversations with leading information managers in the UK. The participants include information industry leaders from a range of sectors, including financial services, law, professional services, manufacturing, health and biomedical. The conversations took place in the first six months of 2023. They covered corporate structure, the operating environment, staffing trends, the impact of technology, content delivery, vendor and client engagement. Respondents were also invited to share their strategic priorities for the remainder of 2023 and 2024.

Leadership style can encourage the behavior of employees in the organization. Several previous studies have shown the effect of leadership style on knowledge sharing. Nevertheless, more empirical proof is needed to show the various leadership style’ moderation effect. We conduct a literature review to analyze the determinants of knowledge sharing and empirical studies of the moderation effects of leadership styles on the determinants of knowledge sharing in government. The questionnaire survey collected 619 civil servants from a ministry in Indonesia. The test model uses the PLS-SEM method. The results showed that the factors that significantly influenced knowledge-sharing behavior were self-efficacy, horizontal trust, IT adoption, and organizational commitment. The results reveal that transformational leadership significantly moderates recognition reward and knowledge-sharing behavior. Furthermore, transactional leadership significantly moderates IT adoption and knowledge-sharing behavior. However, charismatic and servant leadership do not positively moderate these determinants of knowledge-sharing behavior. This research contributes to the literature on leadership styles and knowledge sharing. This research integrates several past research to confirm the factors influencing knowledge-sharing behavior among civil servants in developing countries. This research is expected to help governments and practitioners consider appropriate policies to encourage knowledge sharing within government organizations. This research filled a gap in the previous study by investigating the moderation effects of various leadership styles on the determinants of knowledge-sharing behavior among civil servants.

Chatbots are increasingly becoming a fundamental part of social life. They allow us to communicate in more sophisticated ways using the internet. It is crucial to study chatbots to gain comprehensive insights into their developments, trends, impact, and advancement in the field. This paper presents a bibliometric analysis of chatbot research conducted using the R bibliometrix tool and SPAR-4 protocol. The analysis includes 805 scholarly articles published between 2005 and 2021, collected from the Web of Science and Scopus databases. A conceptual, intellectual, and social structure analysis was conducted to analyse impactful authors, journals, and documents. The study reveals that adoption of chatbots in business accelerated during the pandemic period. The findings also highlight a plethora of opportunities for research in areas like chatbot design cues, user experience, chatbots in collaboration with human agents, and chatbot ethics and privacy. This study's findings provide valuable insights for practitioners, policymakers, developers and researchers to understand the current state of the chatbot research landscape and to identify promising future research directions.

The world awaits new patterns of organization and innovation for the future. In the future, companies need to compete globally and also must think globally if they want to succeed. And these new markets demand new practices for organizations. Companies can continue the path of the current situation, or make it more effective with more effective practices. There is a multifaceted set of practices to consider.