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1 – 10 of over 5000
Article
Publication date: 22 December 2023

Sumaira Nazeer, Muhammad Saleem Sumbal, Gang Liu, Hina Munir and Eric Tsui

The purpose of this paper is to embark on evaluating the role of Chat Generative-Trained Transformer (ChatGPT) in personal knowledge management (PKM) practices of individual…

Abstract

Purpose

The purpose of this paper is to embark on evaluating the role of Chat Generative-Trained Transformer (ChatGPT) in personal knowledge management (PKM) practices of individual knowledge workers across varied disciplines.

Design/methodology/approach

The methodology involves four steps, i.e. literature search, screening and selection of relevant data, data analysis and data synthesis related to KM, PKM and generative artificial intelligence (AI) with a focus on ChatGPT. The findings are then synthesized to develop a viewpoint on the challenges and opportunities brought by ChatGPT for individual knowledge workers in enhancing their PKM capability.

Findings

This work highlights the prevailing challenges and opportunities experienced by knowledge workers while leveraging PKM through implying ChatGPT. It also encapsulates how some management theories back the cruciality of generative AI (specifically ChatGPT) for PKM.

Research limitations/implications

This study identifies the challenges and opportunities. from existing studies and does not imply empirical data/result. The authors believe that findings can be adjusted to diverse domains regarding knowledge workers’ PKM endeavors. This paper draws some conclusions and calls for further empirical research.

Originality/value

ChatGPT’s capability to accelerate organizational performance compelled scholars to focus in this domain. The linkage of ChatGPT to Knowledge Management is an under-explored area specifically the role of ChatGPT on PKM hasn't been given attention in the existing work. This is one of the earliest studies to explore this context.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 23 April 2024

Maja Krtalić and Lilach Alon

This theoretical paper introduces a conceptual framework for Personal Cultural Heritage Management (PCHM), derived from prior research on migrants' information practices. It…

Abstract

Purpose

This theoretical paper introduces a conceptual framework for Personal Cultural Heritage Management (PCHM), derived from prior research on migrants' information practices. It elaborates on the literature background and the development of the PCHM framework, highlighting the role of personal information management (PIM) and personal collections in the creation, access and utilization of cultural heritage information.

Design/methodology/approach

The study describes and explains the construction of the PCHM framework as a structured and self-motivated approach to personal heritage and identity learning.

Findings

Following the theoretical background and assumptions, along with the presentation of the key building blocks, the paper describes the key components of the framework, outlines their definitions and provides examples.

Research limitations/implications

Theoretically, PCHM extends the current literature by encapsulating processes and actions employed by individuals to manage personal collections for cultural identity purposes, thereby underscoring the critical role personal collections play in both preserving and communicating cultural heritage.

Practical implications

PCHM can guide the development of support systems and policies to enhance cultural continuity and integration, thus empowering individuals to navigate their cultural identities confidently.

Originality/value

The PCHM framework creates a unique intersection between PIM and cultural heritage, providing a new perspective for understanding the dynamic evolution and formation of cultural identity among migrants.

Details

Journal of Documentation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0022-0418

Keywords

Article
Publication date: 26 August 2024

Masum Miah, S.M. Mahbubur Rahman, Subarna Biswas, Gábor Szabó-Szentgróti and Virág Walter

This study aims to examine the direct effects of Green Human Resource Management (GHRM) practices on employee green behavior (EGB) in the university setting in Bangladesh and to…

Abstract

Purpose

This study aims to examine the direct effects of Green Human Resource Management (GHRM) practices on employee green behavior (EGB) in the university setting in Bangladesh and to find the indirect effects of how GHRM promotes EGB through sequentially mediating employee environmental knowledge management (EEKM) (environmental knowledge and knowledge sharing) and green self-efficacy (GSE).

Design/methodology/approach

For the empirical study, the researcher uses partial least squares structural equation modeling to test the proposed conceptual model built on existing literature for greening workplaces in the university in Bangladesh. The study has collected data from 288 Bangladeshi university employees using convenient sampling.

Findings

The findings that GHRM practices positively and significantly promote EGB, which captures the employee's tendencies to exercise green behavior in daily routine activities such as turning off lights, air conditioning, computers and equipment after working hours, printing on both sides, recycling (reducing, repair, reuse), disseminating good green ideas, concepts, digital skills and knowledge to peers and champion green initiatives at work. Moreover, the findings also revealed the sequential mediation of EEKM (environmental knowledge and knowledge sharing) and GSE of employees between the link GHRM and EGB. At last, the findings suggested that HR managers can implement the GHRM practices to promote green behaviors among the academic and non-academic staff of the university.

Originality/value

This study contributes to the field by extending knowledge of Social Cognition Theory and Social Learning Theory for greening workplaces in Bangladesh, particularly universities. Specifically, this empirical study is unique to the best of our knowledge and highlights the role of EEKM and GSE as mediation between GHRM and EGB association.

Details

International Journal of Organizational Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1934-8835

Keywords

Article
Publication date: 21 February 2024

Muhammad Saleem Sumbal and Quratulain Amber

Generative 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…

Abstract

Purpose

Generative 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/approach

This 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.

Findings

We 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/implications

The 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/value

This 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.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 4 June 2024

Mohammad A. Algarni, Murad Ali and Imran Ali

Previous research suggests the crucial role of parents in developing social behaviors of their children. However, less evidence is available on the role of parents in shaping…

Abstract

Purpose

Previous research suggests the crucial role of parents in developing social behaviors of their children. However, less evidence is available on the role of parents in shaping responsible financial management behavior among children for their later life. This study bridges this gap by investigating the role of financial parenting in improving well-being among young Saudi people. Particularly, this study examines the role of financial parenting, childhood financial socialization and childhood financial experiences in developing responsible financial self-efficacy and financial coping behaviors to determine financial well-being among young adults in Saudi Arabia.

Design/methodology/approach

This study uses a two-step mixed-method approach comprising analyses of symmetric (net effects) and asymmetric (combinatory effects) modelling to test the proposed model. A symmetrical analysis examines the role of financial parenting factors that are sufficient for improving financial well-being among Saudis. An asymmetrical analysis is used to explore that a set of combinations of financial parenting conditions lead to high performance of financial well-being. Data have been collected from 350 students enrolled in undergraduate and postgraduate programs in Saudi Arabia.

Findings

According to asymmetric modeling (i.e. fsQCA) analysis, parents and practitioners can combine financial parenting, childhood financial socialization and childhood financial experiences along with financial self-efficacy and financial coping behaviors in a way that satisfied the conditions (i.e. causal antecedent conditions) leading to high financial well-being. Importantly, the condition of high financial well-being is not mirror opposite of causal antecedent conditions of low financial well-being.

Research limitations/implications

This study contributes to the current knowledge by applying both symmetrical and asymmetrical modelling to indicate a high level of financial well-being. Besides, there is sparse empirical evidence available in the context of Saudi Arabia on how financial parenting, socialization and financial experiences in childhood improve children's financial well-being in their later life.

Practical implications

According to asymmetric modeling (i.e. fsQCA) analysis, parents and practitioners can combine financial parenting, childhood financial socialization and childhood financial experiences along with financial self-efficacy and financial coping behaviors in a way that satisfied the conditions (i.e. causal antecedent conditions) leading to high financial well-being. Importantly, the condition of high financial well-being is not mirror opposite of causal antecedent conditions of low financial well-being. The parents and practitioners must be cautious to regulate the condition in which the combination of the antecedents is not in line with the causal recipes of financial well-being negation.

Originality/value

This study deepens the current knowledge by employing both symmetrical and asymmetrical analysis for testing structural and configurational models indicating the high performance of financial well-being . The study proposes and tests an integrated model to bring new contributions to prior literature. This study also attempts to propose valuable research directions for future researchers interested in the topic.

Details

Journal of Economic and Administrative Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1026-4116

Keywords

Article
Publication date: 17 November 2023

Rebecca Kassa, Ibilola Ogundare, Brian Lines, Jake B. Smithwick, Nancy J. Kepple and Kenneth T. Sullivan

Construction organizations' investment in effective talent-development programs is a key strategy in attracting, developing and retaining staff. Such programs are especially…

Abstract

Purpose

Construction organizations' investment in effective talent-development programs is a key strategy in attracting, developing and retaining staff. Such programs are especially important given the current challenges in the construction workforce, including labor shortages, an aging workforce, generational differences in the workforce, supply chain disruptions and the need to effectively train staff in the skills that are essential in a constrained labor environment. To address these challenges, this study proposes a performance measurement strategy that construction companies can use as input to design their talent development programs.

Design/methodology/approach

The strategy intends to assess the performance of project managers and develop criteria that define categories of their performance, including the top performers' category. This enables construction organizations to provide each project manager with individualized training that addresses areas of weakness and in turn, develops the skills that correspond with being top performers. The proposed strategy was developed and tested by surveying the immediate supervisors of 187 project managers working for general and specialty contractors in the United States. Principal component analysis was used to develop a single performance construct from seven performance criteria.

Findings

This construct was used to organize the project managers into the categories of top, above-average and below-average performers. According to the findings, top-performing project managers have well-rounded skills in the areas of leadership, communication, technical proficiency and overall job knowledge.

Practical implications

The outcomes of this study can help construction organizations focus their talent-development programs on the skills most associated with PMs being top performers.

Originality/value

This study provides construction organizations with a comprehensive performance-measuring construct to focus their talent-development programs on the skills most associated with top-performing project managers. Researchers can use this study as a foundation for further understanding how performance is related to various construction professions.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 29 March 2024

Anil Kumar Goswami, Anamika Sinha, Meghna Goswami and Prashant Kumar

This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers…

Abstract

Purpose

This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.

Design/methodology/approach

The study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.

Findings

The study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.

Research limitations/implications

This study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.

Practical implications

This study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.

Originality/value

To the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 20 July 2023

Si Yee Tiew, Helena Aman Hashim and Umi Kalsum Zolkafli @ Zulkifly

Various studies have been conducted to explore the factors that are important to be considered for the effectiveness of construction contract administration (CCA) but lack in the…

Abstract

Purpose

Various studies have been conducted to explore the factors that are important to be considered for the effectiveness of construction contract administration (CCA) but lack in the context of graduate architects. The purpose of this study is to identify factors influencing the effectiveness of graduate architects in CCA and possible methods to enhance their work efficiency through developing the relevant skills in a changing construction environment.

Design/methodology/approach

This paper identified the factors that influence the effectiveness of graduate architects in CCA through the quantitative methods. General skill elements that are perceived as essential for the effectiveness of CCA had been investigated through a survey of graduate architects in the construction industry. One hundred and twenty-seven completed questionnaires returned were analyzed and tested using descriptive analysis and relative important index (RII).

Findings

The result from the study showed that the factors influencing the effectiveness of graduate architects as CCA are building construction skills, design management skills, project management skills, soft skills and dispute resolution skills.

Originality/value

The contribution of this study can be utilized for developing models/tools in the future that would improve the work performance of graduate architects in CCA. Educators may utilize this study to improve their syllabus to cater to the market's demand and facilitate students' entry into the labor market.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 6 June 2024

AFM Jalal Ahamed and Yam B. Limbu

Financial anxiety has become a global concern and a growing research area with significant potential to contribute to the behavioral and personal finance literature. Despite this…

Abstract

Purpose

Financial anxiety has become a global concern and a growing research area with significant potential to contribute to the behavioral and personal finance literature. Despite this, the literature is fragmented and inconsistent. Prior studies vary greatly in the breadth of definitions and measures of financial anxiety. There has been no systematic evaluation of literature on financial anxiety antecedents, consequences, and coping strategies. This systematic review fills this gap.

Design/methodology/approach

We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched Scopus and Web of Science and identified 55 eligible studies published between 2009 and 2024.

Findings

Financial anxiety is defined and measured differently in different research domains. We identified several antecedents, including socio-demographic factors (e.g. gender, age, ethnicity, income, employment, racial background, and language proficiency), personality traits, compulsive and impulsive buying behavior, depression or other mental issues, family health issues, and the COVID-19 pandemic and consequences of financial anxiety, including psychological and psychic health, societal and personal relations, financial behavior and well-being, and job-related outcomes. In addition, the literature presents six financial anxiety coping strategies (self-imposed coping mechanisms, spiritual and theological resources, increased financial capability, social and family support, seeking professional help, and language proficiency training). Several future research directions are presented.

Originality/value

This review represents the first systematic compilation and evaluation of the research findings on financial anxiety.

Details

International Journal of Bank Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0265-2323

Keywords

Article
Publication date: 16 January 2024

Priyanka Thakral, Dheeraj Sharma and Koustab Ghosh

Organizations widely adopt knowledge management (KM) to develop and promote technologies and improve business effectiveness. Analytics can aid in KM, further augmenting company…

Abstract

Purpose

Organizations widely adopt knowledge management (KM) to develop and promote technologies and improve business effectiveness. Analytics can aid in KM, further augmenting company performance and decision-making. There has been significant research in the domain of analytics in KM in the past decade. Therefore, this paper aims to examine the current body of literature on the adoption of analytics in KM by offering prominent themes and laying out a research path for future research endeavors in the field of KM analytics.

Design/methodology/approach

A comprehensive analysis was conducted on a collection of 123 articles sourced from the Scopus database. The research has used a Latent Dirichlet Allocation methodology for topic modeling and content analysis to discover prominent themes in the literature.

Findings

The KM analytics literature is categorized into three clusters of research – KM analytics for optimizing business processes, KM analytics in the industrial context and KM analytics and social media.

Originality/value

Systematizing the literature on KM and analytics has received very minimal attention. The KM analytics view has been examined using complementary topic modeling techniques, including machine-based algorithms, to enable a more reliable, systematic, thorough and objective mapping of this developing field of research.

Details

VINE Journal of Information and Knowledge Management Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2059-5891

Keywords

1 – 10 of over 5000