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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

Book part
Publication date: 29 May 2023

Mahantesh Halagatti, Soumya Gadag, Shashidhar Mahantshetti, Chetan V. Hiremath, Dhanashree Tharkude and Vinayak Banakar

Introduction: Numerous decision-making situations are faced in education where Artificial Intelligence may be prevalent as a decision-making support tool to capture streams of…

Abstract

Introduction: Numerous decision-making situations are faced in education where Artificial Intelligence may be prevalent as a decision-making support tool to capture streams of learners’ behaviours.

Purpose: The purpose of the present study is to understand the role of AI in student performance assessment and explore the future role of AI in educational performance assessment.

Scope: The study tries to understand the adaptability of AI in the education sector for supporting the educator in automating assessment. It supports the educator to concentrate on core teaching-learning activities.

Objectives: To understand the AI adaption for educational assessment, the positives and negatives of confidential data collections, and challenges for implementation from the view of various stakeholders.

Methodology: The study is conceptual, and information has been collected from sources comprised of expert interactions, research publications, survey and Industry reports.

Findings: The use of AI in student performance assessment has helped in early predictions for the activities to be adopted by educators. Results of AI evaluations give the data that may be combined and understood to create visuals.

Research Implications: AI-based analytics helps in fast decision-making and adapting the teaching curriculum’s fast-changing industry needs. Students’ abilities, such as participation and resilience, and qualities, such as confidence and drive, may be appraised using AI assessment systems.

Theoretical Implication: Artificial intelligence-based evaluation gives instructors, students, and parents a continuous opinion on how students learn, the help they require, and their progress towards their learning objectives.

Details

Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy
Type: Book
ISBN: 978-1-80382-555-7

Keywords

Open Access
Article
Publication date: 28 November 2023

Georgia Watson, Cassie Moore, Fiona Aspinal, Andrew Hutchings, Rosalind Raine and Jessica Sheringham

Many countries have a renewed focus on health inequalities since COVID-19. In England, integrated care systems (ICSs), formed in 2022 to promote integration, are required to…

Abstract

Purpose

Many countries have a renewed focus on health inequalities since COVID-19. In England, integrated care systems (ICSs), formed in 2022 to promote integration, are required to reduce health inequalities. Integration is supported by population health management (PHM) which links data across health and care organisations to inform service delivery. It is not well-understood how PHM can help ICSs reduce health inequalities. This paper describes development of a programme theory to advance this understanding.

Design/methodology/approach

This study was conducted as a mixed-methods process evaluation in a local ICS using PHM. The study used Framework to analyse interviews with health and care professionals about a PHM tool, the COVID-19 vaccination uptake Dashboard. Quantitative data on staff Dashboard usage were analysed descriptively. To develop a wider programme theory, local findings were discussed with national PHM stakeholders.

Findings

ICS staff used PHM in heterogeneous ways to influence programme delivery and reduce inequalities in vaccine uptake. PHM data was most influential where it highlighted action was needed for “targetable” populations. PHM is more likely to influence decisions on reducing inequalities where data are trusted and valued, data platforms are underpinned by positive inter-organisational relationships and where the health inequality is a shared priority.

Originality/value

The COVID-19 pandemic accelerated a shift toward use of digital health platforms and integrated working across ICSs. This paper used an evaluation of integrated data to reduce inequalities in COVID-19 vaccine delivery to propose a novel programme theory for how integrated data can support ICS staff to tackle health inequalities.

Details

Journal of Integrated Care, vol. 31 no. 4
Type: Research Article
ISSN: 1476-9018

Keywords

Article
Publication date: 28 February 2023

Paul Hong, Na Young Ahn and Euisung Jung

This paper aims to discuss characteristics of Korea’s system responses with a research framework of the structure, conduct and performance theory and explain the role of…

Abstract

Purpose

This paper aims to discuss characteristics of Korea’s system responses with a research framework of the structure, conduct and performance theory and explain the role of information, communication technologies (ICT) and Big Data from a technology-mediated control (TMC) perspective.

Design/methodology/approach

This study examines the contextual nature of Korea’s diagnostic, preventive and treatment efforts. Particular attention is paid to issues related to the effective use of Big Data analytics and its applications, reporting mechanisms and public safety measures. The research model defines key factors in assessing the effectiveness of Korea’s responses.

Findings

Findings of this research suggest: effective strategic planning and operational execution use well-tested and designed crisis-responsive manuals; linkage role of ICT/Big Data is prominent in trace, test and treat and participation (3T + P); and aggressive epidemic investigations require synergistic efforts of national and local government units, broad societal support and participation and contribution of global firms offering their domestic and global supply chain network capabilities.

Research limitations/implications

The Korean Government's effective response experiences suggest the synergy of political, social, cultural and technological factors. Future studies may explore how personal privacy and public safety are both achieved in different social–cultural–political contexts (Ahn et al., 2020; Delgado et al., 2020; Sharma and Bashir, 2020). Other emerging organizational issues and international comparative studies are worth further investigation in future studies.

Practical implications

This case study suggests how to apply ICT capabilities for organizing a national response to the coronavirus pandemic (COVID-19) pandemic. Public and private partnership in the framework of sociotechnological synergy (i.e. integration of ICT and social orchestration) is essential for the 3T process. In support of public policy initiatives, global firms share their IT infrastructure and supply chain integration experiences to accommodate global-level crises like the COVID-19 pandemic.

Social implications

This study extends the TMC framework to a national level. In the adapted TMC framework, the control source, control target and linkage mechanism are specified. Using TMC, this shows the dynamic roles of ICT/Big Data in Korea’s COVID-19 response experiences.

Originality/value

The impacts of the COVID-19 are rapid and enormous. Despite the controversial early policy decisions and the rapid rise of confirmed patients, the world has recognized Korea’s effective responses to the COVID-19 pandemic.

Details

Journal of Information, Communication and Ethics in Society, vol. 21 no. 2
Type: Research Article
ISSN: 1477-996X

Keywords

Article
Publication date: 21 September 2023

Tho Pham and Hai Thanh Pham

This study examines the effect of supply chain (SC) learning (i.e. supplier and customer learnings) on green innovation (i.e. green product and process innovations) and…

Abstract

Purpose

This study examines the effect of supply chain (SC) learning (i.e. supplier and customer learnings) on green innovation (i.e. green product and process innovations) and investigates the moderating role of green transformational leadership in the SC learning-green innovation linkage in the construction industry.

Design/methodology/approach

Data are gathered from construction firms in Vietnam by a questionnaire survey. Hypotheses of the study framework are tested by hierarchical regression analysis.

Findings

Both supplier and customer learnings have positive effects on green innovation (both green process and product innovations). Furthermore, green transformational leadership moderates the linkage between supplier learning and green innovation but does not moderate the linkage between customer learning and green innovation.

Practical implications

Construction firms need to constantly develop capabilities of SC learning for promoting their green innovation.

Originality/value

The present study is one of the first attempts in construction that investigates the importance of SC learning to achieving green innovation as well as the role of green transformational leadership for strengthening the effect of green learning on green innovation.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 8 August 2023

Sivakumar Sundararajan and Senthil Arasu Balasubramanian

This study empirically explores the intraday price discovery mechanism and volatility transmission effect between the dual-listed Indian Nifty index futures traded simultaneously…

Abstract

Purpose

This study empirically explores the intraday price discovery mechanism and volatility transmission effect between the dual-listed Indian Nifty index futures traded simultaneously on the onshore Indian exchange, National Stock Exchange (NSE) and offshore Singapore Exchange (SGX) and its spot market by using high-frequency data.

Design/methodology/approach

This study applies the vector error correction model to analyze the lead-lag relationship in price discovery among three markets. The contributions of individual markets in assimilating new information into prices are measured using various measures, Hasbrouck's (1995) information share, Lien and Shrestha's (2009) modified information share and Gonzalo and Granger's (1995) component share. Additionally, the Granger causality test is conducted to determine the causal relationship. Lastly, the BEKK-GARCH specification is employed to analyze the volatility transmission.

Findings

This study provides robust evidence that Nifty futures lead the spot in price discovery. The offshore SGX Nifty futures consistently ranked first in contributing to price discovery, followed by onshore NSE Nifty futures and finally by the spot. Empirical results also show unidirectional causality and volatility transmission from Nifty futures to spot, as well as bidirectional causal relationship and volatility spillovers between NSE and SGX Nifty futures. These novel findings provide fresh insights into the informational efficiency of the dual-listed Indian Nifty futures, which is distinct from previous literature.

Practical implications

These findings can potentially help market participants, policymakers, stock exchanges and regulators.

Originality/value

Unlike previous studies in this area, this is the first study that empirically examines the intraday price discovery mechanism and volatility spillover between the dual-listed futures markets and its spot market using 5-min overlapping price data and trivariate econometric models.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

Keywords

Book part
Publication date: 23 May 2023

Ramesh Chandra Das

Sequel to the results of the preceding chapter that depicted positive associations of credit with the indicators of growth and development, the present chapter aims at…

Abstract

Sequel to the results of the preceding chapter that depicted positive associations of credit with the indicators of growth and development, the present chapter aims at investigating the interrelationships of credit with GDP and HDI separately in a bivariate framework for the selected countries for the period 1990–2019. For this purpose, this chapter first develops a theoretical model in line with the Barro (1991) model where bank credit is introduced as a good institutional component of endogenous growth. Then, it goes for a time series exercise to establish the long-run relations and short-run dynamics for the pairs of variables, credit-GDP and credit-HDI, to justify the linkages between the financial sector and the real sector. The study arrives at mixed results across the countries. In many cases, credit has been identified to be strongly related to income and development indicators in the long run through cointegrated stable relationships. Furthermore, credit makes a causal influence on GDP and HDI in some developed countries whereas GDP becomes a causal factor to credit in some developing countries. It is thus recommended for further aggravation of the two sectors’ linkages under the patronisations of the governments and the monetary authorities of the countries to have high growth of income and development so that a part of the sustainable development goal can be achieved through the financial sector.

Details

Growth and Developmental Aspects of Credit Allocation: An inquiry for Leading Countries and the Indian States
Type: Book
ISBN: 978-1-80382-612-7

Keywords

Book part
Publication date: 27 June 2023

Sonam

Gender equality and women empowerment which are part of the United Nations Sustainable Development goals have attracted researchers and policymakers worldwide. Various programmes…

Abstract

Gender equality and women empowerment which are part of the United Nations Sustainable Development goals have attracted researchers and policymakers worldwide. Various programmes and interventions aiming at empowerment have been designed and implemented by both national and international agencies. One of the flagship programmes of NABARD introduced in the year 1992, the self-help group (SHG)–bank linkage model is also known for its impact on the availability of credit and empowerment of women. Later, the SGSY scheme was restructured into the National Rural Livelihood Mission (NRLM) in the year 2013. Initially, SHGs focussed on savings and credit linkage, but now the emphasis has been changed to generate livelihoods and economically empowering women on a sustainable basis through training women to establish micro-enterprises. In this facet, the journey of microfinance in empowering women is systematically analyzed. The state of Haryana has consistently outperformed other states in terms of economic and agricultural growth but it ranks poorly in terms of its key human development indicators. Despite high productivity and low poverty, the state faces challenges related to the health and nutrition of children. Literature provides evidence that the health and nutrition status of children and women is closely linked to women empowerment. Using secondary sources of data, we conclude that micro-finance can be a useful tool for empowering women provided the roadblocks are identified and the requisite support is provided to women entrepreneurs.

Details

Technology, Management and Business
Type: Book
ISBN: 978-1-80455-519-4

Keywords

Article
Publication date: 20 March 2024

Ray Sastri, Fanglin Li, Hafiz Muhammad Naveed and Arbi Setiyawan

The COVID-19 pandemic severely impacted tourism, and the hotel and restaurant industry was the most affected sector, which faced issues related to business uncertainty and…

Abstract

Purpose

The COVID-19 pandemic severely impacted tourism, and the hotel and restaurant industry was the most affected sector, which faced issues related to business uncertainty and unemployment during the crisis. The analysis of recovery time and the influence factors is significant to support policymakers in developing an effective response and mitigating the risks associated with the tourism crisis. This study aims to investigate numerous factors affecting the recovery time of the hotel and restaurant sector after the COVID-19 crisis by using survival analysis.

Design/methodology/approach

This study uses the quarterly value added with the observation time from quarter 1 in 2020 to quarter 1 in 2023 to measure the recovery status. The recovery time refers to the number of quarters needed for the hotel and restaurant sector to get value added equal to or exceed the value added before the crisis. This study applies survival models, including lognormal regression, Weibull regression, and Cox regression, to investigate the effect of numerous factors on the hazard ratio of recovery time of hotels and restaurants after the COVID-19 crisis. This model accommodates all cases, including “recovered” and “not recovered yet” areas.

Findings

The empirical findings represented that the Cox regression model stratified by the area type fit the data well. The priority tourism areas had a longer recovery time than the non-priority areas, but they had a higher probability of recovery from a crisis of the same magnitude. The size of the regional gross domestic product, decentralization funds, multiplier effect, recovery time of transportation, and recovery time of the service sector had a significant impact on the probability of recovery.

Originality/value

This study contributes to the literature by examining the recovery time of the hotel and restaurant sector across Indonesian provinces after the COVID-19 crisis. Employing survival analysis, this study identifies the pivotal factors affecting the probability of recovery. Moreover, this study stands as a pioneer in investigating the multiplier effect of the regional tourism and its impact on the speed of recovery.

Details

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

Keywords

Article
Publication date: 5 September 2023

Flora I. Matheson, Arthur McLuhan, Ruth Croxford, Tara Hahmann, Max Ferguson and Cilia Mejia-Lancheros

Continuity of care and access to primary care have been identified as important contributors to improved health outcomes and reduced reincarceration among people who are…

Abstract

Purpose

Continuity of care and access to primary care have been identified as important contributors to improved health outcomes and reduced reincarceration among people who are justice-involved. While the disproportionate burden of health concerns among incarcerated populations is well documented, less is known about their health service utilization, limiting the potential for effective improvements to current policy and practice. This study aims to examine health status and health care utilization among men recently released from a superjail in a large metropolitan area to better understand patterns of use, risk factors and facilitators.

Design/methodology/approach

Participants included adult men (n = 106) matched to a general population group (n = 530) in Ontario, Canada, linked to medical records (88.5% linkage) to examine baseline health status and health utilization three-months post-release. The authors compared differences between the groups in baseline health conditions and estimated the risk of emergency department, primary care, inpatient hospitalization and specialist ambulatory care visits.

Findings

Superjail participants had a significantly higher prevalence of respiratory conditions, mental illness, substance use and injuries. Substance use was a significant risk factor for all types of visits and emergency department visits were over three times higher among superjail participants.

Originality/value

This empirical case is illustrative of an emerging phenomenon in some regions of the world where emergency departments serve as de facto “walk-in clinics” for those with criminal justice involvement. Strategic approaches to health services are required to meet the complex social and health needs and disparities in access to care experienced by men released from custody.

Details

International Journal of Prisoner Health, vol. 19 no. 4
Type: Research Article
ISSN: 1744-9200

Keywords

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