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Article
Publication date: 15 July 2020

Aras Okuyucu and Nilay Yavuz

Despite several big data maturity models developed for businesses, assessment of big data maturity in the public sector is an under-explored yet important area. Accordingly, the…

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Abstract

Purpose

Despite several big data maturity models developed for businesses, assessment of big data maturity in the public sector is an under-explored yet important area. Accordingly, the purpose of this study is to identify the big data maturity models developed specifically for the public sector and evaluate two major big data maturity models in that respect: one at the state level and the other at the organizational level.

Design/methodology/approach

A literature search is conducted using Web of Science and Google Scholar to determine big data maturity models explicitly addressing big data adoption by governments, and then two major models are identified and compared: Klievink et al.’s Big Data maturity model and Kuraeva’s Big Data maturity model.

Findings

While Klievink et al.’s model is designed to evaluate Big Data maturity at the organizational level, Kuraeva’s model is appropriate for assessments at the state level. The first model sheds light on the micro-level factors considering the specific data collection routines and requirements of the public organizations, whereas the second one provides a general framework in terms of the conditions necessary for government’s big data maturity such as legislative framework and national policy dimensions (strategic plans and actions).

Originality/value

This study contributes to the literature by identifying and evaluating the models specifically designed to assess big data maturity in the public sector. Based on the review, it provides insights about the development of integrated models to evaluate big data maturity in the public sector.

Details

Transforming Government: People, Process and Policy, vol. 14 no. 4
Type: Research Article
ISSN: 1750-6166

Keywords

Article
Publication date: 1 February 2005

M. Sarper Erdogan, Cavit Yavuz, Cigdem Caglayan, Nilay Etiler and Onur Hamzaoglu

This paper has been produced to enumerate and discuss threats which are caused by industry and may affect health in the province of Kocaeli.

Abstract

Purpose

This paper has been produced to enumerate and discuss threats which are caused by industry and may affect health in the province of Kocaeli.

Design/methodology/approach

Industries in the province, depending on their function, were grouped into sectors. Air, water and solid waste pollutants produced by each sector were assessed for each region of the province.

Findings

Of the 7,400 industries in the province, only 1,198 are registered with the Kocaeli Chamber of Industry and of this number only a minority are subject to controls by the Ministry of the Environment through the Kocaeli Provincial Directorate of the Environment (KPDE). Data on pollutants were obtained from the KPDE. Liquid waste was controlled in 370 firms (5 per cent) of all industries in the province, air quality in 444 (6 per cent) and dangerous waste in 4 (0.06 per cent). A total of 41 firms were designated as having dangerous pollution profiles.

Practical implications

These figures suggest that industrial development in the province of Kocaeli has not been accompanied by adequate environmental protection. Stricter control for present and future industries is urgently required. Attention must also be directed at zoning industrial and residential areas to safeguard human health and the environment.

Originality/value

Provides information on environmental threats caused by industry in Turkey.

Details

Management of Environmental Quality: An International Journal, vol. 16 no. 1
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 10 December 2020

Deniz Sarica, Vecdi Demircan, Aybike Erturk and Nilay Arslantas

The purpose of the research is to identify the various factors affecting bread wastage and bread consumption of consumers in Isparta, Turkey.

Abstract

Purpose

The purpose of the research is to identify the various factors affecting bread wastage and bread consumption of consumers in Isparta, Turkey.

Design/methodology/approach

This study uses the categorical regression (CATREG) model to estimate the driving forces of bread waste and consumption. The study concentrates on data obtained from 384 respondents speaking for the same number of households placed in the province of Isparta in Turkey.

Findings

The results indicate that both models are statistically significant at the 1% level. Parents' profession, storage method, type of bread consumed, daily bread expenditure, monthly income and the idea of “bread is cheap” are the most important variables affecting bread wastage. Regarding bread consumption, parents' profession, fathers' education level, monthly income, inadequate control in bakeries, household size and the idea of “bread makes people fat” are found to play significant roles.

Practical implications

The results could be helpful to develop influential policies on healthy eating and aiming plans to reduce bread consumption to healthy levels and prevent bread waste.

Social implications

This research contributes to knowledge regarding the underlying causes of the bread consumption and wastage of Turkish consumers in the light of the data analysis for Isparta province.

Originality/value

This paper contains unique and original understandings concerning bread consumption and wastage attitudes and determinants for consumers from Isparta, Turkey. The novel findings of this research have conduced to a better understanding of the key factors that affect bread consumption and waste. The paper also applies an econometric analysis using a CATREG model to analyse the factors influencing consumers' bread waste and consumption behaviour in Isparta province, Turkey.

Details

British Food Journal, vol. 123 no. 4
Type: Research Article
ISSN: 0007-070X

Keywords

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