Quratulain Amber
@polyu.edu.hk
Department of Knowledge Management, Industrial and Systems Engineering
Hong Kong Polytechnic University
EDUCATION
PhD in Management Sciences
RESEARCH, TEACHING, or OTHER INTERESTS
Business, Management and Accounting, Human-Computer Interaction, Management Science and Operations Research, Multidisciplinary
Scopus Publications
Scholar Citations
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Scopus Publications
Muhammad Saleem Sumbal, Adeel Tariq, Quratulain Amber, Kamila Janovská, and Alberto Ferraris
Elsevier BV
Muhammad Saleem Sumbal, Quratulain Amber, Adeel Tariq, Muhammad Mustafa Raziq, and Eric Tsui
Emerald
PurposeThe new disruption in the form of ChatGPT can be a valuable tool for organizations to enhance their knowledge management and decision-making capabilities. This article explores how ChatGPT can enhance organizations' KM capability for improved decision-making and identifies potential risks and opportunities.Design/methodology/approachUsing existing literature and a small-scale case study, we develop a conceptual framework for implementing artificial intelligence on the internal organizational knowledge base of big data and its integration with a larger knowledge base of ChatGPT.FindingsThis viewpoint conceptualizes integrating knowledge management and ChatGPT for improved organizational decision-making. By facilitating efficient information retrieval, personalized learning, collaborative knowledge sharing, real-time decision support, and continuous improvement, ChatGPT can help organizations stay competitive and achieve business success.Research limitations/implicationsThis is one of the first studies on the integration of organizational knowledge management systems with ChatGPT. This research work proposes a conceptual model on integration of knowledge management with generative AI which can be further tested in actual work settings to check it's applicability and make further modifications.Practical implicationsThe study provided insights to managers and executives who, in collaboration with IT professionals, can devise a mechanism for integrating existing knowledge management systems in organizations with ChatGPT.Originality/valueThis is one of the first studies exploring the linkage between ChatGPT and knowledge management for informed decision-making.
Muhammad Saleem Sumbal and Quratulain Amber
Emerald
PurposeGenerative AI and more specifically ChatGPT has brought a revolution in the lives of people by providing them with required knowledge that it has learnt from an exponentially large knowledge base. In this viewpoint, we are initiating the debate and offer the first step towards Generative AI based knowledge management systems in organizations.Design/methodology/approachThis study is a viewpoint and develops a conceptual foundation using existing literature on how ChatGPT can enhance the KM capability based on Nonaka’s SECI model. It further supports the concept by collecting data from a public sector univesity in Hong Kong to strenghten our argument of ChatGPT mediated knowledge management system.FindingsWe posit that all four processes, that is Socialization, Externalization, Combination and Internalization can significantly improve when integrated with ChatGPT. ChatGPT users are, in general, satisfied with the use of ChatGPT being capable of facilitating knowledge generation and flow in organizations.Research limitations/implicationsThe study provides a conceptual foundation to further the knowledge on how ChatGPT can be integrated within organizations to enhance the knowledge management capability of organizations. Further, it develops an understanding on how managers and executives can use ChatGPT for effective knowledge management through improving the four processes of Nonaka’s SECI model.Originality/valueThis is one of the earliest studies on the linkage of knowledge management with ChatGPT and lays a foundation for ChatGPT mediated knowledge management system in organizations.
Quratulain Amber, Abdul Baseer Qazi, Nadeem Javaid, Iram A. Khan, and Mansoor Ahmad
Emerald
PurposeThis study aims to examine the role of ethical leaders on the knowledge-sharing behavior of public sector employees. Ethical leaders engender knowledge-sharing behavior of employees by influencing their psychological capital.Design/methodology/approachTo explore the mechanism by which ethical leaders shape the knowledge-sharing behavior of employees, cross-sectional self-reported data (n= 339) are collected from employees working at decision-making positions in federal ministries in Pakistan.FindingsAnalysis results indicate that ethical leaders influence public employees to share knowledge with colleagues. Moreover, the mediary role of ethical values, organizational identification and altruism is evident, however, the mediary role of self-efficacy is not evident from results.Practical implicationsThis implies that policymakers should be cognizant of the indirect mechanism by which ethical leaders positively influence the behavior of public employees. This knowledge helps them consider the recruitment, promotion and training of employees, especially the leaders, in line with the required ethical value consideration in public sector organizations.Originality/valueThis research is based on originally collected data from the field.
Quratulain Amber, Mansoor Ahmad, Iram A. Khan, and Fakhar Abbas Hashmi
Informa UK Limited
Abstract Bureaucratic organizational structure (OS) is perceived as an impediment to employees’ positive behavior including their knowledge-sharing behavior. This study investigates the role of formal, centralized and hierarchal OS in shaping the knowledge sharing behavior of public employees. It investigates the mediation role of social dilemma, i.e., a clash between self and collective interests. Cross-sectional data are collected from 309 executive employees of five federal ministries in Pakistan. The results confirm that formal and centralized OS receive significant positive association, whereas hierarchal OS receives a significant negative association with employees’ knowledge-sharing behavior. Partial negative mediation role of the social dilemma is also evident from the results. It implies that employees prefer to pursue self-interest when they find a clash between self and collective interests. Therefore, the study suggests concrete measures in human resource policies and practices that may improve the ethical environment of public sector institutions.
Quratulain Amber, Iram A. Khan, and Mansoor Ahmad
Informa UK Limited
Abstract Organisations implement Knowledge Management (KM) processes to become more efficient and competitive. Due to differences in the goals and cultural practices between the public and private sectors, KM practices meant for the private sector cannot be applied to the public sector without appropriate modifications and vice versa. This case study assesses the KM processes of a public sector organisation in Pakistan, viz. Planning Commission, by using qualitative and quantitative approaches. The results and findings are based on twenty-six (26) interviews and a questionnaire-based survey of sixty (60) employees. The results highlight KM issues in four KM process areas: knowledge discovery, knowledge capture, knowledge sharing, and knowledge application. The study also identifies gaps that exist for adopting knowledge-based practices in the case study organisation. These are lack of institutional repository, formally designed and implemented training programmes, informal networking, and brainstorming, etc. The paper also proposes illustrative KM mechanisms that would facilitate the Planning Commission in introducing a formal knowledge management strategy to fill the identified gaps.
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INDUSTRY EXPERIENCE
Data Scientist in Inbox Business Technologies, Islamabad, Pakistan (Dec 2021 - Nov 2022)