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Article
Publication date: 15 January 2018

Deepak Dahiya and Saji K. Mathew

Although governments are hugely investing in information technology (IT) infrastructure, eGovernment performance has reported variations in performance. The relationship between…

806

Abstract

Purpose

Although governments are hugely investing in information technology (IT) infrastructure, eGovernment performance has reported variations in performance. The relationship between IT infrastructure investments and eGovernment performance remains unexplored in academic research. This study aims to explain how investments in IT assets lead to infrastructure capability and eGovernment system performance. The work conceptualizes technical performance of IT infrastructure as a consequent of thoughtful investments in IT assets, which help generate IT infrastructure capability. The findings have important implications for eGovernment theory and practice in developing understanding about eGovernment IT infrastructure and supporting decision-making on the choice of infrastructure components.

Design/methodology/approach

This study showcases quantitative analysis based on survey method-based research using a questionnaire for testing the hypotheses formulated.

Findings

The analysis of the work showed that IT infrastructure performance is a significant mediator between investments in IT assets and IT infrastructure capability.

Research limitations/implications

Owing to constraints of data collection, probability sampling was not followed, which is a prerequisite for statistical generalization.

Practical implications

The study provides insights for governments on investing in technologies that meet requisite performance standards. IT infrastructure performance is an antecedent of IT infrastructure capability, which directly determines how an eGovernment system performs.

Social implications

The study shows that delay in implementing new service models such as cloud potentially result in relatively lower performance of the IT infrastructure for the investments made in the given assets.

Originality/value

This paper builds on the existing literature on IT assets, IT infrastructure performance and IT infrastructure capability and applies it to the eGovernment domain.

Details

Transforming Government: People, Process and Policy, vol. 12 no. 1
Type: Research Article
ISSN: 1750-6166

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Article
Publication date: 15 August 2016

Deepak Dahiya and Saji K. Mathew

Although government investments in IT is growing, it is unclear how and what kind of IT investments lead to desirable E-Government performance. Several studies pertaining to the…

1494

Abstract

Purpose

Although government investments in IT is growing, it is unclear how and what kind of IT investments lead to desirable E-Government performance. Several studies pertaining to the business value of IT have developed and tested frameworks for IT infrastructure, IT capability and business performance. However, E-Government-related IT investment outcomes cannot be measured by profits and hence requires a separate investigation. E-Government research using theoretical approach has been reported as very scarce in previous studies. This research aims to bridge the gap by developing a model to study IT infrastructure capability and E-Government performance in the emerging context of new IT service delivery models.

Design/methodology/approach

This paper follows a case study method in this research with a priori conceptual framework. The data were collected following an interview method used for deductive theory building.

Findings

The results identified a positive relationship between IT assets and IT infrastructure performance in the presence of service delivery channels and an anticipation of a positive influence of infrastructure performance variables on IT capability which in turn shows positive effect on E-Government performance.

Research limitations/implications

Because the study followed a qualitative approach, the findings from this study are not useful for statistical generalization. However, the analytical framework provides sufficient ground to test E-Government performance.

Practical implications

The study provides insights in the choice of IT infrastructure elements fitting an E-Government strategy.

Social implications

This study provides an integrated framework for measuring E-Government performance, thereby making deployment of IT infrastructure accountable both in terms of IT performance and IT capability. This in turn will lead to improvement in citizen services.

Originality/value

This paper builds on the existing literature on IT assets, IT infrastructure performance, IT infrastructure capability and applies to the E-Government domain.

Details

Transforming Government: People, Process and Policy, vol. 10 no. 3
Type: Research Article
ISSN: 1750-6166

Keywords

Available. Content available
Article
Publication date: 15 August 2016

Zahir Irani and Muhammad Kamal

405

Abstract

Details

Transforming Government: People, Process and Policy, vol. 10 no. 3
Type: Research Article
ISSN: 1750-6166

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Article
Publication date: 22 August 2022

Anupama Panghal, Priyanka Vern, Rahul S Mor, Deepak Panghal, Shilpa Sindhu and Shweta Dahiya

3D food printing technology is an emerging smart technology, which because of its inbuilt capabilities, has the potential to support a sustainable supply chain and environmental…

614

Abstract

Purpose

3D food printing technology is an emerging smart technology, which because of its inbuilt capabilities, has the potential to support a sustainable supply chain and environmental quality management. This new technology needs a supportive ecosystem, and thus, this paper identifies and models the enablers for adopting 3D printing technology toward a sustainable food supply chain.

Design/methodology/approach

The enablers were identified through an extensive literature review and verified by domain experts. The identified enablers were modelled through the hybrid total interpretive structural modelling approach (TISM) and the decision-making trial and evaluation laboratory (DEMATEL) approach.

Findings

It emerged that stakeholders need technical know-how about the 3D printing technology, well supported by a legal framework for clear intellectual property rights ownership. Also, the industry players must have focused and clear strategic planning, considering the need for sustainable supply chains. Moreover, required product innovation as per customer needs may enhance the stakeholders' readiness to adopt this technology.

Practical implications

The framework proposed in this research provides managers with a hierarchy and categorization of adoption enablers which will help them adopt 3D food printing technology and improve environmental quality.

Originality/value

This research offers a framework for modelling the enablers for 3D food printing to develop a sustainable food supply chain using the TISM and DEMATEL techniques.

Details

Management of Environmental Quality: An International Journal, vol. 34 no. 4
Type: Research Article
ISSN: 1477-7835

Keywords

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Article
Publication date: 5 August 2022

Monika Saini, Deepak Sinwar, Alapati Manas Swarith and Ashish Kumar

Reliability and maintainability estimation of any system depends on the identification of the best-fitted probability distribution of failure and repair rates. The parameters of…

211

Abstract

Purpose

Reliability and maintainability estimation of any system depends on the identification of the best-fitted probability distribution of failure and repair rates. The parameters of the best-fitted probability distribution are also contributing significantly to reliability estimation. In this work, a case study of load haul dump (LHD) machines is illustrated that consider the optimization of failure and repair rate parameters using two well established metaheuristic approaches, namely, genetic algorithm (GA) and particle swarm optimization (PSO). This paper aims to analyze the aforementioned points.

Design/methodology/approach

The data on time between failures (TBF) and time to repairs (TTR) are collected for a LHD machine. The descriptive statistical analysis of TBF & TTR data is performed, trend and serial correlation tested and using Anderson–Darling (AD) value best-fitted distributions are identified for repair and failure times of various subsystems. The traditional methods of estimation like maximum likelihood estimation, method of moments, least-square estimation method help only in finding the local solution. Here, for finding the global solution two well-known metaheuristic approaches are applied.

Findings

The reliability of the LHD machine after 60 days on the real data set is 28.55%, using GA on 250 generations is 17.64%, and using PSO on 100 generations and 100 iterations is 30.25%. The PSO technique gives the global best value of reliability.

Practical implications

The present work will be very convenient for reliability engineers, researchers and maintenance managers to understand the failure and repair pattern of LHD machines. The same methodology can be applied in other process industries also.

Originality/value

In this case study, initially likelihood function of the best-fitted distribution is optimized by GA and PSO. Reliability and maintainability of LHD machines evaluated by the traditional approach, GA and PSO are compared. These results will be very helpful for maintenance engineers to plan new maintenance strategies for better functioning of LHD machines.

Details

Journal of Quality in Maintenance Engineering, vol. 29 no. 2
Type: Research Article
ISSN: 1355-2511

Keywords

Available. Content available
Book part
Publication date: 18 July 2022

Free Access. Free Access

Abstract

Details

Big Data Analytics in the Insurance Market
Type: Book
ISBN: 978-1-80262-638-4

Available. Content available
Book part
Publication date: 19 July 2022

Free Access. Free Access

Abstract

Details

Big Data: A Game Changer for Insurance Industry
Type: Book
ISBN: 978-1-80262-606-3

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Article
Publication date: 19 December 2024

Rinki Dahiya

The purpose of this study is to examine and validate the psychometric properties of the Green Innovative Work Behaviour (G-IWB) measure, aiming to enhance its conceptualisation…

40

Abstract

Purpose

The purpose of this study is to examine and validate the psychometric properties of the Green Innovative Work Behaviour (G-IWB) measure, aiming to enhance its conceptualisation and reliable assessment in the context of increasing environmental awareness.

Design/methodology/approach

Data for this research were collected using a survey method across three distinct samples and analysed to evaluate the multidimensionality, validity and reliability of the G-IWB scale.

Findings

The thorough assessment of the G-IWB scale provided critical insights into its psychometric robustness. Results confirmed the reliability and validity of the G-IWB scale, featuring a correlated five-factor model and higher-order structure, encapsulating 23 items that comprehensively reflect the dimensions of G-IWB.

Practical implications

The findings of this study offer substantial practical value for hospitality organisations, providing a reliable tool for measuring, assessing and fostering G-IWB. This research contributes to the expanding literature on green innovation by focusing on individual behaviours and enriching theoretical models with data-driven insights for advancing sustainable practices within the hospitality sector.

Originality/value

This research makes a significant contribution by introducing a multidimensional psychometric tool for evaluating G-IWB. It addresses the scholarly tendency to focus on unidimensional G-IWB measurements, thereby advancing a nuanced understanding that broadens the scope of G-IWB.

Details

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

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Article
Publication date: 20 March 2024

Charles Jebarajakirthy, Achchuthan Sivapalan, Manish Das, Haroon Iqbal Maseeh, Md Ashaduzzaman, Carolyn Strong and Deepak Sangroya

This study aims to integrate the theory of planned behavior (TPB) and the value-belief-norm (VBN) theory into a meta-analytic framework to synthesize green consumption literature.

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Abstract

Purpose

This study aims to integrate the theory of planned behavior (TPB) and the value-belief-norm (VBN) theory into a meta-analytic framework to synthesize green consumption literature.

Design/methodology/approach

By integrating the findings from 173 studies, a meta-analysis was performed adopting several analytical methods: bivariate analysis, moderation analysis and path analysis.

Findings

VBN- and TPB-based psychological factors (adverse consequences, ascribed responsibility, personal norms, subjective norms, attitude and perceived behavioral control) mediate the effects of altruistic, biospheric and egoistic values on green purchase intention. Further, inconsistencies in the proposed relationships are due to cultural factors (i.e. individualism-collectivism, power distance, uncertainty avoidance, masculinity–femininity, short- vs long-term orientation and indulgence-restraint) and countries’ human development status.

Research limitations/implications

The authors selected papers published in English; hence, other relevant papers in this domain published in other languages might have been missed.

Practical implications

The findings are useful to marketers of green offerings in designing strategies, i.e. specific messages, targeting different customers based on countries’ cultural score and human development index, to harvest positive customer responses.

Originality/value

This study is the pioneering attempt to synthesize the TPB- and VBN-based quantitative literature on green consumer behavior to resolve the reported inconsistent findings.

Details

European Journal of Marketing, vol. 58 no. 4
Type: Research Article
ISSN: 0309-0566

Keywords

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Article
Publication date: 10 August 2015

Karlyn Mitchell

Directors play a hard-to-quantify but critical role in the success of corporations. Outside directors supplement the firm-specific knowledge of inside directors by providing…

3334

Abstract

Purpose

Directors play a hard-to-quantify but critical role in the success of corporations. Outside directors supplement the firm-specific knowledge of inside directors by providing expertise and monitoring. Prior research finds that outside directors who are commercial bankers can be both beneficial and costly to large, non-financial corporations. Smaller, bank-dependent corporations should benefit more than large firms from the services banker directors provide, but may also be more prone to the costs they can impose. The purpose of this paper is to investigate the influence of bank dependency on appointments of banker directors.

Design/methodology/approach

The author estimates models relating the probability of a first-time banker-director appointment to proxies of bank dependency on data for a matched sample of firms with and without banker directors drawn from a size-representative sample of Compustat firms.

Findings

Bank-dependent firms are less likely to appoint bankers as directors than bank-independent firms. Bank-dependent firms are also less likely to appoint bankers whose employers are firms’ creditors (i.e. affiliated bankers). Bank-dependent and bank-independent firms are indistinguishable in their probabilities of appointing unaffiliated bankers as directors.

Practical implications

Bank-dependent firms with unexploited growth opportunities appear unable to ameliorate their financial constraints by having banker directors. Appointing retired bankers to boards may give firms the benefits of banker directors without the costs.

Originality/value

This paper is the first to: document the prevalence of banker directors at smaller corporations; present econometric evidence on banker-director appointments at firms ranging from small to large; and identify bank dependency as a factor limiting appointments of affiliated banker directors.

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