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Article
Publication date: 3 April 2019

R.E.A. Ashu and Dewald Van Niekerk

The purpose of this paper is to analyze the status quo of disaster risk reduction (DRR) policy and legislation in Cameroon.

Abstract

Purpose

The purpose of this paper is to analyze the status quo of disaster risk reduction (DRR) policy and legislation in Cameroon.

Design/methodology/approach

Using a qualitative method, this paper examines historical data from sectoral administrative reports, plans, declarations, commitments and speeches, texts and peer-reviewed journals on disaster and risk management in Cameroon for the period 1967-2017. Empirical data from ten selected government sectors were used to analyze the status quo, together with quantitative data collected by using four instruments (i.e. HFA Priority 1 & 4, USAID Toolkit, GOAL Resilience Score and the Checklist on Law and DRR).

Findings

Findings show that Cameroon largely still practices disaster response through the Department of Civil Protection. Transparency and accountability are the sine qua non of the state, but the lack thereof causes improper implementation of DRR within development institutions. DRR is seen as an ad hoc activity, with the result that there is not effective institutional capacity for implementation. The need to develop a new national DRR framework is evident.

Originality/value

Analyzing the status quo of DRR in Cameroon could assist with the review and reevaluation of a new DRR framework within the Cameroonian territory.

Details

foresight, vol. 21 no. 3
Type: Research Article
ISSN: 1463-6689

Keywords

Article
Publication date: 11 August 2020

M. Salim Uddin, C. Emdad Haque and Mohammad Nuruzzaman Khan

Despite Bangladesh's great strides in formulating disaster management policies following the principles of good governance, the degree to which these policies have successfully…

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Abstract

Purpose

Despite Bangladesh's great strides in formulating disaster management policies following the principles of good governance, the degree to which these policies have successfully been implemented at the local level remains largely unknown. The objectives of this study were two-fold: (1) to examine the roles and effectiveness of local-level governance and disaster management institutions, and (2) to identify barriers to the implementation of national policies and Disaster-Risk-Reduction (DRR) guidelines at the local community level.

Design/methodology/approach

Between January 2014 and June 2015 we carried out an empirical investigation in two coastal communities in Bangladesh. We employed a qualitative research and Case Study approach, using techniques from the Participatory Rural Appraisal toolbox to collect data from local community members as well as government and NGO officials.

Findings

Our study revealed that interactive disaster governance, decentralization of disaster management, and compliance by local-level institutions with good governance principles and national policy guidelines can be extremely effective in reducing disaster-loss and damages. According to coastal community members, the local governments have generally failed to uphold good governance principles, and triangulated data confirm that the region at large suffers from rampant corruption, political favoritism, lack of transparency and accountability and minimal inclusion of local inhabitants in decision-making – all of which have severely impeded the successful implementation of national disaster-management policies.

Research limitations/implications

While considerable research on good governance has been pursued, our understanding of good disaster governance and their criteria is still poor. In addition, although numerous national disaster management policy and good governance initiatives have been taken in Bangladesh, like many other developing countries, the nature and extent of their local level implementation are not well known. This study contributes to these research gaps, with identification of further research agenda in these areas.

Practical implications

The study focuses on good disaster governance and management issues and practices, their strengths and limitations in the context of cyclone and storm surges along coastal Bangladesh. It offers specific good disaster governance criteria for improving multi-level successful implementation. The paper deals with International Sendai Framework that called for enhancement of local level community resilience to disasters. Thus, it contributes to numerous policy and practice areas relating to good disaster governance.

Social implications

Good disaster governance would benefit not only from future disaster losses but also from improved prevention and mitigation of natural hazards impact, benefiting society at large. Improvement in knowledge and practice in disaster-risk-reduction through good governance and effective management would ensure local community development and human wellbeing at the national level.

Originality/value

The failure of local-level government institutions to effectively implement national disaster management and resilience-building policies is largely attributable to a lack of financial and human resources, rampant corruption, a lack of accountability and transparency and the exclusion of local inhabitants from decision-making processes. Our study identified the specific manifestations of these failures in coastal communities in Bangladesh. These results underscore the vital need to address the wide gap between national DRR goals and the on-the-ground realities of policy implementation to successfully enhance the country's resilience to climate change-induced disasters.

Details

Disaster Prevention and Management: An International Journal, vol. 30 no. 2
Type: Research Article
ISSN: 0965-3562

Keywords

Article
Publication date: 25 January 2022

Abner Lawangen

This paper is to contribute to addressing the knowledge gap on the roles of rural cooperatives in disaster risk reduction and management (DRRM).

Abstract

Purpose

This paper is to contribute to addressing the knowledge gap on the roles of rural cooperatives in disaster risk reduction and management (DRRM).

Design/methodology/approach

This study adopts a mixed-methods approach highlighting indigenous strategies of community engagement – the pantatabtaval/tong tongan (brainstorming and dialogs), pan-iestorya/dad-at (storytelling session) and field observations with 50 village-level cooperatives in Benguet, Philippines to understand their contributions to local DRRM.

Findings

Rural cooperatives in Benguet have evolved on their context of service from mere rural development to now include DRRM donations and aid for disaster-affected families, credit and loans are the most common services of these rural cooperative extended to their members to deal with risks of disasters.

Originality/value

Most research on cooperatives focuses on their contribution to socio-economic development and only few dealt with DRRM. This paper explores the link of these rural organizations with DRRM drawing evidence from cooperatives in the rural communities of Benguet, Philippines.

Details

Disaster Prevention and Management: An International Journal, vol. 31 no. 2
Type: Research Article
ISSN: 0965-3562

Keywords

Article
Publication date: 19 May 2020

Ashu Taneja and Nitin Saluja

The major challenges in the modern-day wireless communication systems are increased co-channel interference owing to large number of users and the increased energy consumption…

Abstract

Purpose

The major challenges in the modern-day wireless communication systems are increased co-channel interference owing to large number of users and the increased energy consumption owing to high circuit and/or hardware power consumption. Hence, the purpose of this paper is to present a practical approach involving linear precoding, channel estimation, user selection (US) and transmit antenna selection (AS) for enhanced reliability in multiuser multiple-input multiple output (MU-MIMO) system.

Design/methodology/approach

The proposed technique considers systematic and optimum deployment of users and transmits antennas for each selected user which enhances the sum rate or the system capacity. The comparison of algorithms, namely, norm-based and capacity-based US is presented with its implementation with precoding techniques, namely, block-diagonalization (BD) and zero-forcing with combining (ZFC) which is used to minimize co-channel interference. In this paper, a power consumption model is proposed for energy efficiency calculation in MU-MIMO system. Also, post analysis, the variant of US and AS algorithms optimizing the performance of BD and ZFC precoding technique is proposed.

Findings

It is seen that the proposed MU-MIMO system with norm-based US and norm-based AS improves over existing US-based systems by 43% in terms of sum rate and 19% in terms of energy efficiency for 100 users.

Originality/value

It is seen that the proposed MU-MIMO system with norm-based US and norm-based AS improves over existing US-based systems by 43% in terms of sum rate and 19% in terms of energy efficiency for 100 users.

Details

International Journal of Pervasive Computing and Communications, vol. 16 no. 2
Type: Research Article
ISSN: 1742-7371

Keywords

Article
Publication date: 17 October 2017

Ashu Garg, Anirban Bhattacharya and Ajay Batish

The purpose of this paper is to investigate the influence of low-cost chemical vapour treatment process on geometric accuracy and surface roughness of different curved and…

342

Abstract

Purpose

The purpose of this paper is to investigate the influence of low-cost chemical vapour treatment process on geometric accuracy and surface roughness of different curved and freeform surfaces of fused deposition modelling (FDM) specimens build at different part building orientations.

Design/methodology/approach

Parts with different primitive and curved surfaces are designed and modelled to build at three different part orientations along X orientation (vertical position resting on side face), Y orientation (horizontal position resting on base) and Z orientation (upright position). Later, the parts are post-processed by cold vapours of acetone. Geometric accuracy and surface roughness are measured both before and after the chemical treatment to investigate the change in geometric accuracy, surface roughness of FDM parts.

Findings

The results indicate that surface roughness is reduced immensely after cold vapour treatment with minimum variation in geometric accuracy of parts. Parts build vertically over its side face (X orientation) provides the overall better surface finish and geometric accuracy.

Originality/value

The present study provides an approach of post-built treatment for FDM parts and observes a significant improvement in surface finish of the components. The present approach of post-built treatment can be adopted to enhance the surface quality as well as to achieve desired geometric accuracy for different primitive, freeform/curved surfaces of FDM samples suitable for functional components as well as prototypes.

Details

Rapid Prototyping Journal, vol. 23 no. 6
Type: Research Article
ISSN: 1355-2546

Keywords

Book part
Publication date: 21 April 2022

Henry Ngenyam Bang

Cameroon’s contemporary legislative and institutional frameworks for disaster risk management (DRM) encapsulate the concept of Civil Protection (CP). Diverse disaster risk profile…

Abstract

Cameroon’s contemporary legislative and institutional frameworks for disaster risk management (DRM) encapsulate the concept of Civil Protection (CP). Diverse disaster risk profile and high incidence/frequency of co-occurring natural and human-induced hazards are intimately linked to increasing vulnerability and fragile economy, transforming hazards into emergencies, crises and disasters, with dire livelihood consequences. To curb growing disaster risks, the Cameroon government instituted basic legislative and institutional frameworks for DRM, through top-down hierarchical, and ex post decision-making processes. Existing frameworks combine multi-hazard, multi-stakeholder and multidisciplinary/agency approaches. Inertia, limited foresight and proactiveness, innovation capacity and limited stakeholder involvement have rendered DRM ineffective. Existing DRM instruments are vague and not explicit. DRM lags behind a rapidly evolving disaster risk profile, and implementation is scattered across ministries/agencies, rendering cross-sectoral cooperation and coordination difficult. Although Cameroon is a signatory to many international disaster risk reduction (DRR)/DRM frameworks, and frequently participates in international DRR/DRM events, implementation of international agreements leaves much to be desired. The Directorate of Civil Protection – Cameroon’s sole legislative DRM institution is marred by bureaucracy, centralisation and insufficient power to perform. There is an urgent need to overhaul existing legislation and institutional frameworks for effective DRM in Cameroon.

Details

Disaster Management in Sub-Saharan Africa: Policies, Institutions and Processes
Type: Book
ISBN: 978-1-80262-817-3

Keywords

Article
Publication date: 13 June 2023

Mohd Azeem and Ashu Khanna

This paper aims to provide a brief review of the work on startup survival and a conceptual framework of factors influencing a startup firm’s survival. In addition, it lists…

Abstract

Purpose

This paper aims to provide a brief review of the work on startup survival and a conceptual framework of factors influencing a startup firm’s survival. In addition, it lists significant gaps and recommends avenues for future research.

Design/methodology/approach

This paper conducted a systematic literature review of peer-reviewed journal articles indexed in Scopus, Web of Science and EBSCO databases using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A total of 140 articles published in 72 journals between 1993 and 2021 were considered for the review.

Findings

The comprehensive review revealed that most of the studies have applied a single theoretical lens and have taken place in advanced economies, with a narrow focus on emerging economies. Empirical research has prominently applied regression-based models to analyse the relationship between the antecedents and the outcomes. Internal resources such as human capital, financial capital and physical capital and non-financial performance measures such as survival, growth and employment are the studies’ prominently used antecedents and outcome variables. However, a limited number of studies have used mechanisms of mediation and moderation.

Originality/value

Despite the substantial scientific and practical discussion on startup survival, to the best of the authors’ knowledge, no comprehensive review has been undertaken to date, which provides a systematic and comprehensive compilation of the knowledge on the topic. This study aims to develop a unique landscape of scientific advancement by methodically reviewing, categorising and synthesising the current body of knowledge on the topic.

Details

Journal of Research in Marketing and Entrepreneurship, vol. 26 no. 1
Type: Research Article
ISSN: 1471-5201

Keywords

Article
Publication date: 29 December 2023

Ashu Lamba, Priti Aggarwal, Sachin Gupta and Mayank Joshipura

This paper aims to examine the impact of announcements related to 77 interventions by 46 listed Indian pharmaceutical firms during COVID-19 on the abnormal returns of the firms…

Abstract

Purpose

This paper aims to examine the impact of announcements related to 77 interventions by 46 listed Indian pharmaceutical firms during COVID-19 on the abnormal returns of the firms. The study also finds the variables which explain cumulative abnormal returns (CARs).

Design/methodology/approach

This study uses standard event methodology to compute the abnormal returns of firms announcing pharmaceutical interventions in 2020 and 2021. Besides this, the multilayer perceptron technique is applied to identify the variables that influence the CARs of the sample firms.

Findings

The results show the presence of abnormal returns of 0.64% one day before the announcement, indicating information leakage. The multilayer perceptron approach identifies five variables that explain the CARs of the sample companies, which are licensing_age, licensing_size, size, commercialization_age and approval_age.

Originality/value

The study contributes to the efficient market literature by revealing how firm-specific nonfinancial disclosures affect stock prices, especially in times of crisis like pandemics. Prior research focused on determining the effect of COVID-19 variables on abnormal returns. This is the first research to use artificial neural networks to determine which firm-specific variables and pharmaceutical interventions can influence CARs.

Details

International Journal of Pharmaceutical and Healthcare Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6123

Keywords

Article
Publication date: 9 December 2020

Harish Kumar Singla, Abhishek Shrivas and Ashu Sharma

The previous researchers have identified human capital, relational capital and structural capital as knowledge assets in knowledge-driven organizations. The current study is an

Abstract

Purpose

The previous researchers have identified human capital, relational capital and structural capital as knowledge assets in knowledge-driven organizations. The current study is an attempt to identify and validate the knowledge assets in construction projects. The study also aims to understand the interrelation of these knowledge assets and their impact on project performance through the development of a conceptual model.

Design/methodology/approach

The study is divided into three phases. In phase I, the constructs of “knowledge assets” and “project performance” in construction projects are identified using the exploratory factor analysis. In phase II, these constructs are validated using confirmatory factor analysis. Two separate surveys are conducted for phase I and phase II, respectively. In phase III, the authors develop two conceptual models based on the literature review and two construction project cases in India. The models examine the inter-relationship of knowledge assets and measures their impact on project performance. The models are empirically tested using the responses of the second survey through a structural equation model.

Findings

The study extracts four knowledge asset constructs and one performance construct which are named human capital, structural capital, relational capital, human capital capacity building process and project performance, respectively. The study finds that both the conceptual models are statistically excellent fit. The results of the models suggest that relational capital and structural capital have a direct positive impact on project performance, whereas human capital has an indirect effect on project performance mediated through relational capital, structural capital and human capital capacity building process.

Research limitations/implications

The items for knowledge asset constructs and measurement of project performance are moderated by experts, working in construction projects in India, hence the process may contain subjective bias. Further, two construction project cases were selected by authors in the study that originate from India.

Practical implications

The study has implications for the project executors (contractors) as well as for project owners. The contractors must maintain healthy relations with all the stakeholders in a project like a client, suppliers, architects, etc. They must develop systems that are people-friendly to avoid the problems of time and cost overruns in projects. The owners must also maintain healthy relations. This can result in a win-win situation for both parties and can lead to superior project performance.

Originality/value

The study develops and empirically tests two conceptual models that explain the interrelations of knowledge assets and how it benefits the construction project performance in India. Therefore, the generalization of the results is difficult; however, the results can be replicated in projects with similar settings.

Details

Journal of Intellectual Capital, vol. 23 no. 3
Type: Research Article
ISSN: 1469-1930

Keywords

Book part
Publication date: 20 November 2020

J. E. Yalico, M. B. Ortíz, J. A. Larco, A. Gallegos and C. Antonini

The key performance indicators (KPIs) are frequently used in organizations, and they help to transmit the strategy at all levels of the organization. However, the implementation…

Abstract

The key performance indicators (KPIs) are frequently used in organizations, and they help to transmit the strategy at all levels of the organization. However, the implementation of these indicators in small- and medium-sized companies remains a challenge. Many studies reveal two challenges faced by these firms, the lack of knowledge about the KPIs and the lack of alignment of these with the business strategy. For this reason, this chapter investigated the current level of knowledge about KPIs in managers of small and medium enterprises in the wood and timber sector in Peru.

The level of knowledge was measured using the framework of Bloom's Taxonomy in 21 firms. The use and importance that managers assign to performance indicators were evaluated, in order to identify gaps that exist between the strategy and its use.

The results of a survey study show a high degree of variability in the knowledge of KPI-related concepts as well as an average low level of usage. The importance attributed to KPIs was seen as a necessary but not sufficient condition for attaining higher levels of KPI usage.

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