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1 – 10 of over 94000
Article
Publication date: 29 August 2019

Vivekanand Venkataraman, Syed Usmanulla, Appaiah Sonnappa, Pratiksha Sadashiv, Suhaib Soofi Mohammed and Sundaresh S. Narayanan

The purpose of this paper is to identify significant factors of environmental variables and pollutants that have an effect on PM2.5 through wavelet and regression analysis.

Abstract

Purpose

The purpose of this paper is to identify significant factors of environmental variables and pollutants that have an effect on PM2.5 through wavelet and regression analysis.

Design/methodology/approach

In order to provide stable data set for regression analysis, multiresolution analysis using wavelets is conducted. For the sampled data, multicollinearity among the independent variables is removed by using principal component analysis and multiple linear regression analysis is conducted using PM2.5 as a dependent variable.

Findings

It is found that few pollutants such as NO2, NOx, SO2, benzene and environmental factors such as ambient temperature, solar radiation and wind direction affect PM2.5. The regression model developed has high R2 value of 91.9 percent, and the residues are stationary and not correlated indicating a sound model.

Research limitations/implications

The research provides a framework for extracting stationary data and other important features such as change points in mean and variance, using the sample data for regression analysis. The work needs to be extended across all areas in India and for various other stationary data sets there can be different factors affecting PM2.5.

Practical implications

Control measures such as control charts can be implemented for significant factors.

Social implications

Rules and regulations can be made more stringent on the factors.

Originality/value

The originality of this paper lies in the integration of wavelets with regression analysis for air pollution data.

Details

International Journal of Quality & Reliability Management, vol. 36 no. 10
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 1 February 1984

B.C. BROOKES

Haitun has recently shown that empirical distributions are of two types—‘Gaussian’ and ‘Zipfian’—characterized by the presence or absence of moments. Gaussian‐type distributions…

Abstract

Haitun has recently shown that empirical distributions are of two types—‘Gaussian’ and ‘Zipfian’—characterized by the presence or absence of moments. Gaussian‐type distributions arise only in physical contexts: Zipfian only in social contexts. As the whole of modern statistical theory is based on Gaussian distributions, Haitun thus shows that its application to social statistics, including cognitive statistics, is ‘inadmissible’. A new statistical theory based on ‘Zipfian’ distributions is therefore needed for the social sciences. Laplace's notorious ‘law of succession’, which has evaded derivation by classical probability theory, is shown to be the ‘Zipfian’ frequency analogue of the Bradford law. It is argued that these two laws together provide the most convenient analytical instruments for the exploration of social science data. Some implications of these findings for the quantitative analysis of information systems are briefly discussed.

Details

Journal of Documentation, vol. 40 no. 2
Type: Research Article
ISSN: 0022-0418

Article
Publication date: 2 October 2020

Xiu Wei Yeap, Hooi Hooi Lean, Marius Galabe Sampid and Haslifah Mohamad Hasim

This paper investigates the dependence structure and market risk of the currency exchange rate portfolio from the Malaysian ringgit perspective.

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Abstract

Purpose

This paper investigates the dependence structure and market risk of the currency exchange rate portfolio from the Malaysian ringgit perspective.

Design/methodology/approach

The marginal return of the five major exchange rates series, i.e. United States dollar (USD), Japanese yen (JPY), Singapore dollar (SGD), Thai baht (THB) and Chinese Yuan Renminbi (CNY) are modelled by the Bayesian generalized autoregressive conditional heteroskedasticity (GARCH) (1,1) model with Student's t innovations. In addition, five different copulas, such as Gumbel, Clayton, Frank, Gaussian and Student's t, are applied for modelling the joint distribution for examining the dependence structure of the five currencies. Moreover, the portfolio risk is measured by Value at Risk (VaR) that considers the extreme events through the extreme value theory (EVT).

Findings

The finding shows that Gumbel and Student's t are the best-fitted Archimedean and elliptical copulas, for the five currencies. The dependence structure is asymmetric and heavy tailed.

Research limitations/implications

The findings of this paper have important implications for diversification decision and hedging problems for investors who involving in foreign currencies. The authors found that the portfolio is diversified with the consideration of extreme events. Therefore, investors who are holding an individual currency with VaR higher than the portfolio may consider adding other currencies used in this paper for hedging.

Originality/value

This is the first paper estimating VaR of a currency exchange rate portfolio using a combination of Bayesian GARCH model, EVT and copula theory. Moreover, the VaR of the currency exchange rate portfolio can be used as a benchmark of the currency exchange market risk.

Details

International Journal of Emerging Markets, vol. 16 no. 5
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 10 August 2018

Eunhye (Olivia) Park, Bongsug Chae and Junehee Kwon

This paper aims to identify the intellectual structure of four leading hospitality journals over 40 years by applying mixed-method approach, using both machine learning and…

1178

Abstract

Purpose

This paper aims to identify the intellectual structure of four leading hospitality journals over 40 years by applying mixed-method approach, using both machine learning and traditional statistical analyses.

Design/methodology/approach

Abstracts from all 4,139 articles published in four top hospitality journals were analyzed using the structured topic modeling and inferential statistics. Topic correlation and community detection were applied to identify strengths of correlations and sub-groups of topics. Trend visualization and regression analysis were used to quantify the effects of the metadata (i.e. year of publication and journal) on topic proportions.

Findings

The authors found 50 topics and eight subgroups in the hospitality journals. Different evolutionary patterns in topic popularity were demonstrated, thereby providing the insights for popular research topics over time. The significant differences in topical proportions were found across the four leading hospitality journals, suggesting different foci in research topics in each journal.

Research limitations/implications

Combining machine learning techniques with traditional statistics demonstrated potential for discovering valuable insights from big text data in hospitality and tourism research contexts. The findings of this study may serve as a guide to understand the trends in the research field as well as the progress of specific areas or subfields.

Originality/value

It is the first attempt to apply topic modeling to academic publications and explore the effects of article metadata with the hospitality literature.

Details

International Journal of Contemporary Hospitality Management, vol. 30 no. 11
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 1 June 2005

Sawsan Halbouni

This study investigates the perceived suitability of the international accounting standards among the Jordanian preparers, users and auditors. Multivariate analysis and…

Abstract

This study investigates the perceived suitability of the international accounting standards among the Jordanian preparers, users and auditors. Multivariate analysis and non‐parametric statistics are applied to test hypotheses. The t‐test was used to measure the suitability of IAS to the Jordanian environment. The results indicated that IASC is a neutral body and therefore is capable of producing neutral and relevant accounting standards that might be applied by developing countries. The ANOVA and the Chisquare tests were applied to test variation in the perceived suitability of IAS to the Jordanian environment. The results indicated that the type of audit firm, years of experience and type of experience affected the respondents’ views towards the suitability of IAS to Jordan. Descriptive statistics were used to determine the most influential factor affecting the adoption of IAS in Jordan. The results indicated that the local need for foreign investments and international audit firms were the most influential factors while local and foreign investors in addition to the international audit firms are the biggest beneficiaries of that adoption. Finally, this study found that no attempt had been made by the Jordanian regulators to benefit from the past experience of other developing countries. The respondents believed that in order to increase the reliability of Jordanian financial information IAS were quickly adopted without any discussion as to whether each IAS was suitable to the Jordanian context.

Details

Journal of Economic and Administrative Sciences, vol. 21 no. 1
Type: Research Article
ISSN: 1026-4116

Keywords

Article
Publication date: 8 February 2019

Pedro Carlos Oprime, Fabiane Leticia Lizarelli, Marcio Lopes Pimenta and Jorge Alberto Achcar

The traditional Shewhart control chart, the X-bar and R/S chart, cannot give support to decide when it is not economically feasible to stop the process in order to remove special…

Abstract

Purpose

The traditional Shewhart control chart, the X-bar and R/S chart, cannot give support to decide when it is not economically feasible to stop the process in order to remove special causes. Therefore, the purpose of this paper is to propose a new control chart design – a modified acceptance control chart, which provides a supportive method for decision making in economic terms, especially when the process has high capability indices.

Design/methodology/approach

The authors made a modeling expectation average run length (ARL), which incorporates the probability density function of the sampling distribution of Cpk, to compare and analyze the efficiency of the proposed design.

Findings

This study suggested a new procedure to calculate the control limits (CL) of the X-bar chart, which allows economic decisions about the process to be made. By introducing a permissible average variation and defining three regions for statistical CL in the traditional X-bar control chart, a new design is proposed.

Originality/value

A framework is presented to help practitioners in the use of the proposed control chart. Two new parameters (Cp and Cpk) in addition to m and n were introduced in the expected ARL equation. The Cpk is a random variable and its probability function is known. Therefore, by using a preliminary sample of a process under control, the authors can test whether the process is capable or not.

Details

International Journal of Quality & Reliability Management, vol. 36 no. 6
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 31 January 2018

Deniz A. Appelbaum, Alex Kogan and Miklos A. Vasarhelyi

There is an increasing recognition in the public audit profession that the emergence of big data as well as the growing use of business analytics by audit clients has brought new…

1775

Abstract

There is an increasing recognition in the public audit profession that the emergence of big data as well as the growing use of business analytics by audit clients has brought new opportunities and challenges. That is, should more complex business analytics beyond the customary analytical procedures be used in the engagement and if so, where? Which techniques appear to be most promising? This paper starts the process of addressing these questions by examining extant external audit research. 301 papers are identified that discuss some use of analytical procedures in the public audit engagement. These papers are then categorized by technique, engagement phase, and other attributes to facilitate understanding. This analysis of the literature is categorized into an External Audit Analytics (EAA) framework, the objective of which is to identify gaps, to provide motivation for new research, and to classify and outline the main topics addressed in this literature. Specifically, this synthesis organizes audit research, thereby offering guidelines regarding possible future research about approaches for more complex and data driven analytics in the engagement.

Details

Journal of Accounting Literature, vol. 40 no. 1
Type: Research Article
ISSN: 0737-4607

Keywords

Article
Publication date: 1 February 2016

Kaveh Hasani and Saman Sheikhesmaeili

– The purpose of this paper is to investigate the relationship between knowledge management (KM) and employee empowerment in institutions of higher education.

8586

Abstract

Purpose

The purpose of this paper is to investigate the relationship between knowledge management (KM) and employee empowerment in institutions of higher education.

Design/methodology/approach

The research method in this study was the descriptive-correlative type, and was based on the goal of the method applied. Subjects in this research included the staff members of higher educational institutions in Iran. Descriptive and inferential statistics were used. To analyse research data, descriptive statistics, and for inferential statistics, the Pearson correlation, the Friedman ranking test and stepwise regression, were used. For data analysis, SPSS software was used.

Findings

The results from the study show that all alternative hypotheses were confirmed and there was a significant relationship between KM and employee empowerment. In addition, KM predicted the aspects of employee empowerment in institutions of higher education.

Originality/value

Through this study, the positive role of KM in employee empowerment in institutions of higher education has been described, and the importance of considering such studies has been specified for researchers.

Details

Kybernetes, vol. 45 no. 2
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 8 November 2022

Quyet Nguyen and Cong Van Nguyen

This paper aims to examine the impact of the existing information and communication technology (ICT) infrastructure and the development of the destination’s ICT on the tourism…

Abstract

Purpose

This paper aims to examine the impact of the existing information and communication technology (ICT) infrastructure and the development of the destination’s ICT on the tourism demand of international tourists in an emerging economy, Vietnam.

Design/methodology/approach

Using time-series data from 1995 to 2019, this study applies vector error correction model to analyse the impact of ICT infrastructure in the short- and long term.

Findings

The results of analysis show that although ICT infrastructure does not affect the number of international tourists in the short term, it positively contributes to tourism development in the long term. In addition, the results also show that in the short term, consumer prices have a negative impact on tourist arrivals while having a positive effect in the long run.

Research limitations/implications

This study only considers the impact of ICT infrastructure on the whole without going into each factor reflecting different aspects of the ICT infrastructure. Moreover, this research only stops at the pre-pandemic period, so it has not shown the role of ICT infrastructure in travel and tourism demand during severe pandemic periods.

Practical implications

The research results are an essential basis to support the Vietnamese Government’s strategy to pursue an accelerated investment policy in ICT infrastructure, especially investment in the tourism and hotel industries. On the other hand, the research results also create more motivation and confidence for managers and operators of destinations in Vietnam to invest in ICT infrastructure and apply ICT in management.

Originality/value

This study adds to the literature on tourism–ICT linkages in an emerging tourism market directly between ICT infrastructure and international arrivals with a dynamic time series–based approach that considers the dynamics in the tourist demand identification model. In addition, this study used consumer price index to assess the impact of price on tourist demand instead of using the exchange rate or using the relative prices between the origin and destination countries.

研究目的

本文探讨了现有 ICT 基础设施和目的地 ICT 发展对新兴经济体越南国际游客旅游需求的影响。

研究设计/方法/方法

该研究使用 1995 年至 2019 年的时间序列数据, 应用矢量纠错模型 (VECM) 来分析 ICT 基础设施的短期和长期影响。

研究发现

分析结果表明, 虽然ICT基础设施在短期内不会影响国际游客数量, 但从长远来看对旅游业发展有积极贡献。此外, 研究结果还表明, 在短期内, 消费价格对游客人数产生了负面影响, 而从长期来看, 则产生了积极影响。

实践意义

研究结果是支持越南政府加快信息通信技术基础设施投资政策战略的重要基础, 特别是对旅游业和酒店业的投资。另一方面, 研究成果也为越南旅游目的地的管理者和经营者投资ICT基础设施和在管理中应用ICT创造了更多动力和信心。

研究原创性/价值

本研究通过考虑旅游需求识别模型中的动态的基于动态时间序列的方法, 增加了有关新兴旅游市场中旅游与 ICT 联系的文献, 该联系直接在 ICT 基础设施和国际入境者之间进行。此外, 该研究使用 CPI 来评估价格对游客需求的影响, 而不是使用汇率或使用来源国和目的地国之间的相对价格。

Details

Journal of Hospitality and Tourism Technology, vol. 13 no. 5
Type: Research Article
ISSN: 1757-9880

Keywords

Article
Publication date: 5 March 2018

Hamidreza Izadbakhsh, Rassoul Noorossana and Seyed Taghi Akhavan Niaki

The purpose of this paper is to apply Poisson generalized linear model (PGLM) with log link instead of multinomial logistic regression to monitor multinomial logistic profiles in…

Abstract

Purpose

The purpose of this paper is to apply Poisson generalized linear model (PGLM) with log link instead of multinomial logistic regression to monitor multinomial logistic profiles in Phase I. Hence, estimating the coefficients becomes easier and more accurate.

Design/methodology/approach

Simulation technique is used to assess the performance of the proposed algorithm using four different control charts for monitoring.

Findings

The proposed algorithm is faster and more accurate than the previous algorithms. Simulation results also indicate that the likelihood ratio test method is able to detect out-of-control parameters more efficiently.

Originality/value

The PGLM with log link has not been used to monitor multinomial profiles in Phase I.

Details

International Journal of Quality & Reliability Management, vol. 35 no. 3
Type: Research Article
ISSN: 0265-671X

Keywords

1 – 10 of over 94000