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1 – 10 of over 2000
Article
Publication date: 22 November 2019

Loukas N. Anninos, Alexandra Paraskevi Chytiri and Leonidas Chytiris

The purpose of this paper is twofold: first, to examine the level of narcissism and its individual traits in students who study business, in the particular context of a regional…

Abstract

Purpose

The purpose of this paper is twofold: first, to examine the level of narcissism and its individual traits in students who study business, in the particular context of a regional country such as Greece; and, second, to test how several demographic variables are related to narcissism levels.

Design/methodology/approach

The study consists of a theoretical part on narcissism in business education and an empirical part that was based on a survey conducted with the use of a questionnaire. The analysis includes hypothesis testing and basic statistical tests.

Findings

Findings suggest that sex, study levels, years of business experience and (personal/family) income do impact specific narcissistic dimensions, which may be a cause for concern both for employers and higher education providers.

Research limitations/implications

The study was conducted in a regional country, the participants were students of public higher education institutions only and the questionnaire was self-reported, which could lead to likely social desirability effects.

Practical implications

The investigation of narcissism in the Greek business education might be of interest to business education providers (for providing curriculum that help future managers/leaders to deploy the positive characteristics of narcissism and avoid or not to develop the negative ones) and to future employers to apply more effective human resource practices, i.e. selection, training, rewarding.

Originality/value

The study at hand aimed to investigate the presence of narcissism and its individual (narcissistic) behavioral dimensions in students studying business in Greece.

Details

Journal of Applied Research in Higher Education, vol. 12 no. 2
Type: Research Article
ISSN: 2050-7003

Keywords

Article
Publication date: 5 July 2023

Hani Alkayed, Ibrahim Yousef, Khaled Hussainey and Esam Shehadeh

This article provides the first empirical study on the effects of the COVID-19 pandemic on sustainability reporting in US financial institutions using institutional, stakeholder…

Abstract

Purpose

This article provides the first empirical study on the effects of the COVID-19 pandemic on sustainability reporting in US financial institutions using institutional, stakeholder and legitimacy theories.

Design/methodology/approach

The study used the independent sample t-test and Mann–Whitney U test throughout as well as OLS, random effects, fixed effects and heteroskedasticity corrected model to test the impact of the COVID-19 pandemic on sustainability reporting in the US financial sector. A sample from all listed US financial firms was used after controlling for both the Refinitiv Eikon sector classification and the NAICS sector classification.

Findings

Using U Mann–Whitney test and independent sample t-test the study revealed that the average ESG score for the pre-COVID19 period is 53% compared with 62.3% for the COVID-19 period, indicating that the sustainability reporting during COVID-19 is much higher compared with the pre-pandemic period. The findings of regression analysis also confirm that the US financial companies increased their sustainability reporting during the COVID-19 pandemic.

Research limitations/implications

This study is an early attempt to look at how the COVID-19 epidemic has affected financial reporting procedures, although it is focused only on one area and other entity-related factors like stock market implications, company governance, internal audit practice, etc could have been considered.

Practical implications

This research offers useful recommendations for policymakers to create standards for regulators on the significance of raising sustainability awareness. The findings are crucial for accounting regulators as they work to implement COVID-19 and enforce required integrated reporting rules and regulations.

Originality/value

The study provides the first empirical evidence on the impact of the COVID-19 pandemic on sustainability reporting, by examining how US financial institutions approach the topic of sustainability during the COVID-19 pandemic and assessing the pandemic's current consequences on sustainability.

Details

Journal of Applied Accounting Research, vol. 25 no. 2
Type: Research Article
ISSN: 0967-5426

Keywords

Article
Publication date: 1 November 2022

Andreas Christos Pliatsidis

The purpose of this paper is to examine how the period for which a public procurement notice remains open for bidding (Δt) affects the number of bids.

Abstract

Purpose

The purpose of this paper is to examine how the period for which a public procurement notice remains open for bidding (Δt) affects the number of bids.

Design/methodology/approach

The authors investigated data for 2.404 open procurement tenders in Greece for the years 2018–2021. Using Δt as the grouping factor, the authors defined two samples based on the European Union time limits for the receipt of tenders. Group 1 (Δt ≤ 35) contains all tenders for which the contracting authorities (CAs) have chosen to limit themselves to the minimum number of days allowed by law. Group 2 (Δt>35) includes the remaining tenders where CAs have chosen to keep their notices open for periods beyond the existing minimum time limits, as they are encouraged to do by law.

Findings

A Mann–Whitney U test, in combination with graphical analysis, revealed that CAs from Group 2 tend to enjoy more bids per tender, that is, more intense competition.

Social implications

The paper allows decision-makers and legislators to understand the relationship between the time CAs choose to keep their notices open for bidding and the number of bidders in each tender, that is, competition, which according to other authors, affects the outcomes of public procurement procedures.

Originality/value

The paper fills the research gap regarding the relationship between time for preparation and the number of bids in each tender.

Details

Journal of Public Procurement, vol. 22 no. 4
Type: Research Article
ISSN: 1535-0118

Keywords

Article
Publication date: 23 November 2012

Sinem Somunoğlu and Mehtap Tatar

Breast cancer is a type of cancer affecting the health of women in many countries. The aim of this study is to determine the effect of breast cancer and its treatment procedures…

Abstract

Purpose

Breast cancer is a type of cancer affecting the health of women in many countries. The aim of this study is to determine the effect of breast cancer and its treatment procedures on the quality of life.

Design/methodology/approach

The study was carried out in Hacettepe University Oncology Hospital and The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire and Breast Cancer Module were used.

Findings

It was found that 29.8 per cent of the patients were in phase 4 of the disease, 86.8 per cent already had an operation while 84.1 per cent had chemotherapy. There were statistically significant differences between the levels of the life quality for pain dimension in the symptom scale, body image dimension in the module functional scale, sexual function dimension in the module functional scale, arm symptoms dimension in module symptom scale and age groups; the levels of life quality for dyspnoea dimension in the symptom scale, anorexia dimension of the symptom scale, financial difficulties dimension of the symptom scale and the duration of the disease; the levels of life quality for fatigue dimension in the symptom scale, diarrhea dimension in the symptom scale and the phase of the cancer; the levels of life quality for physical functionality dimension in the functional scale, constipation dimension in the symptom scale and receiving chemotherapy. In the light of the findings, attempts to improve health and creation of different behaviours are important for life quality.

Originality/value

This is original research that sheds light on life quality issues for women diagnosed with breast cancer.

Details

International Journal of Pharmaceutical and Healthcare Marketing, vol. 6 no. 4
Type: Research Article
ISSN: 1750-6123

Keywords

Article
Publication date: 17 May 2022

Qiucheng Liu

In order to analyze the text complexity of Chinese and foreign academic English writings, the artificial neural network (ANN) under deep learning (DL) is applied to the study of…

Abstract

Purpose

In order to analyze the text complexity of Chinese and foreign academic English writings, the artificial neural network (ANN) under deep learning (DL) is applied to the study of text complexity. Firstly, the research status and existing problems of text complexity are introduced based on DL. Secondly, based on Back Propagation Neural Network (BPNN) algorithm, analyzation is made on the text complexity of Chinese and foreign academic English writings. And the research establishes a BPNN syntactic complexity evaluation system. Thirdly, MATLAB2013b is used for simulation analysis of the model. The proposed model algorithm BPANN is compared with other classical algorithms, and the weight value of each index and the model training effect are further analyzed by statistical methods. Finally, L2 Syntactic Complexity Analyzer (L2SCA) is used to calculate the syntactic complexity of the two libraries, and Mann–Whitney U test is used to compare the syntactic complexity of Chinese English learners and native English speakers. The experimental results show that compared with the shallow neural network, the deep neural network algorithm has more hidden layers and richer features, and better performance of feature extraction. BPNN algorithm shows excellent performance in the training process, and the actual output value is very close to the expected value. Meantime, the error of sample test is analyzed, and it is found that the evaluation error of BPNN algorithm is less than 1.8%, of high accuracy. However, there are significant differences in grammatical complexity among students with different English writing proficiency. Some measurement methods cannot effectively reflect the types and characteristics of written language, or may have a negative relationship with writing quality. In addition, the research also finds that the measurement of syntactic complexity is more sensitive to the language ability of writing. Therefore, BPNN algorithm can effectively analyze the text complexity of academic English writing. The results of the research provide reference for improving the evaluation system of text complexity of academic paper writing.

Design/methodology/approach

In order to analyze the text complexity of Chinese and foreign academic English writings, the artificial neural network (ANN) under deep learning (DL) is applied to the study of text complexity. Firstly, the research status and existing problems of text complexity are introduced based on DL. Secondly, based on Back Propagation Neural Network (BPNN) algorithm, analyzation is made on the text complexity of Chinese and foreign academic English writings. And the research establishes a BPNN syntactic complexity evaluation system. Thirdly, MATLAB2013b is used for simulation analysis of the model. The proposed model algorithm BPANN is compared with other classical algorithms, and the weight value of each index and the model training effect are further analyzed by statistical methods. Finally, L2 Syntactic Complexity Analyzer (L2SCA) is used to calculate the syntactic complexity of the two libraries, and Mann–Whitney U test is used to compare the syntactic complexity of Chinese English learners and native English speakers. The experimental results show that compared with the shallow neural network, the deep neural network algorithm has more hidden layers and richer features, and better performance of feature extraction. BPNN algorithm shows excellent performance in the training process, and the actual output value is very close to the expected value. Meantime, the error of sample test is analyzed, and it is found that the evaluation error of BPNN algorithm is less than 1.8%, of high accuracy. However, there are significant differences in grammatical complexity among students with different English writing proficiency. Some measurement methods cannot effectively reflect the types and characteristics of written language, or may have a negative relationship with writing quality. In addition, the research also finds that the measurement of syntactic complexity is more sensitive to the language ability of writing. Therefore, BPNN algorithm can effectively analyze the text complexity of academic English writing. The results of the research provide reference for improving the evaluation system of text complexity of academic paper writing.

Findings

In order to analyze the text complexity of Chinese and foreign academic English writings, the artificial neural network (ANN) under deep learning (DL) is applied to the study of text complexity. Firstly, the research status and existing problems of text complexity are introduced based on DL. Secondly, based on Back Propagation Neural Network (BPNN) algorithm, analyzation is made on the text complexity of Chinese and foreign academic English writings. And the research establishes a BPNN syntactic complexity evaluation system. Thirdly, MATLAB2013b is used for simulation analysis of the model. The proposed model algorithm BPANN is compared with other classical algorithms, and the weight value of each index and the model training effect are further analyzed by statistical methods. Finally, L2 Syntactic Complexity Analyzer (L2SCA) is used to calculate the syntactic complexity of the two libraries, and Mann–Whitney U test is used to compare the syntactic complexity of Chinese English learners and native English speakers. The experimental results show that compared with the shallow neural network, the deep neural network algorithm has more hidden layers and richer features, and better performance of feature extraction. BPNN algorithm shows excellent performance in the training process, and the actual output value is very close to the expected value. Meantime, the error of sample test is analyzed, and it is found that the evaluation error of BPNN algorithm is less than 1.8%, of high accuracy. However, there are significant differences in grammatical complexity among students with different English writing proficiency. Some measurement methods cannot effectively reflect the types and characteristics of written language, or may have a negative relationship with writing quality. In addition, the research also finds that the measurement of syntactic complexity is more sensitive to the language ability of writing. Therefore, BPNN algorithm can effectively analyze the text complexity of academic English writing. The results of the research provide reference for improving the evaluation system of text complexity of academic paper writing.

Originality/value

In order to analyze the text complexity of Chinese and foreign academic English writings, the artificial neural network (ANN) under deep learning (DL) is applied to the study of text complexity. Firstly, the research status and existing problems of text complexity are introduced based on DL. Secondly, based on Back Propagation Neural Network (BPNN) algorithm, analyzation is made on the text complexity of Chinese and foreign academic English writings. And the research establishes a BPNN syntactic complexity evaluation system. Thirdly, MATLAB2013b is used for simulation analysis of the model. The proposed model algorithm BPANN is compared with other classical algorithms, and the weight value of each index and the model training effect are further analyzed by statistical methods. Finally, L2 Syntactic Complexity Analyzer (L2SCA) is used to calculate the syntactic complexity of the two libraries, and Mann–Whitney U test is used to compare the syntactic complexity of Chinese English learners and native English speakers. The experimental results show that compared with the shallow neural network, the deep neural network algorithm has more hidden layers and richer features, and better performance of feature extraction. BPNN algorithm shows excellent performance in the training process, and the actual output value is very close to the expected value. Meantime, the error of sample test is analyzed, and it is found that the evaluation error of BPNN algorithm is less than 1.8%, of high accuracy. However, there are significant differences in grammatical complexity among students with different English writing proficiency. Some measurement methods cannot effectively reflect the types and characteristics of written language, or may have a negative relationship with writing quality. In addition, the research also finds that the measurement of syntactic complexity is more sensitive to the language ability of writing. Therefore, BPNN algorithm can effectively analyze the text complexity of academic English writing. The results of the research provide reference for improving the evaluation system of text complexity of academic paper writing.

Details

Library Hi Tech, vol. 41 no. 5
Type: Research Article
ISSN: 0737-8831

Keywords

Abstract

Details

Quality Control Procedure for Statutory Financial Audit
Type: Book
ISBN: 978-1-78714-226-8

Article
Publication date: 1 February 2008

Craig Langston, Yu Song and Brian Purdey

Research into office design and its effect on employee satisfaction and performance has attracted considerable contemporary research interest. However, most studies have tended to…

1863

Abstract

Purpose

Research into office design and its effect on employee satisfaction and performance has attracted considerable contemporary research interest. However, most studies have tended to concentrate on the impact of the built environment on human performance, ignoring the actual needs of employees working in different organizational settings. This paper hence aims to investigate the nature and extent of occupant satisfaction with the built environment in different organizational settings in Australia for a range of climates.

Design/methodology/approach

A survey was conducted in Australia from 2004‐2005, comprising 41 buildings, including six government buildings, 14 educational buildings and 21 commercial buildings. The Kruskal‐Wallis H test was used to explore whether there are differences in the mean ranking of office environment satisfaction amongst the three organizational settings, and the Mann‐Whitney U test was employed to further test whether there are differences in the mean ranking of office environment satisfaction between any two groups.

Findings

Significant differences were found in aspects of air, temperature, space suitability, flexibility, usability and controllability. Employees in commercial settings seem to be more satisfied with their physical work environment than employees in other organization types. Employees in educational settings showed the highest satisfaction with most variables in the workspace design and management category. Government employees showed a lower level of satisfaction with their physical work environment and workspace design and management.

Originality/value

Moreover, the government and educational groups showed more similarity with each other, while the commercial group displayed significant difference.

Details

Facilities, vol. 26 no. 1/2
Type: Research Article
ISSN: 0263-2772

Keywords

Article
Publication date: 25 July 2018

Dana Jandali and Rateb Sweis

The purpose of this paper is to identify and assess the factors affecting maintenance management performance in public and private hospitals in Amman-Jordan.

Abstract

Purpose

The purpose of this paper is to identify and assess the factors affecting maintenance management performance in public and private hospitals in Amman-Jordan.

Design/methodology/approach

The paper identified 70 items affecting maintenance management performance from the literature review. Descriptive analysis was performed to assess the practices in both sectors. Comparison between public and private hospitals was performed through conducting a Mann-Whitney U-test.

Findings

Public hospitals were found to be implementing more improved practices than private hospitals. The perception of maintenance staff in both sectors regarding the factors affecting maintenance management performance varied.

Originality/value

This paper provides an original review of the factors affecting maintenance management in public and private hospitals in Amman-Jordan. The identified factors provide a useful reference to maintenance departments to improve maintenance performance and practices.

Details

International Journal of Building Pathology and Adaptation, vol. 37 no. 1
Type: Research Article
ISSN: 2398-4708

Keywords

Article
Publication date: 12 June 2018

Julian Blake, Sonja Fourie and Michael Goldman

Sponsorship is a major contributor to income in the South African sports arena, and is a critical component allowing sports unions to remain financially viable and sustainable…

1348

Abstract

Purpose

Sponsorship is a major contributor to income in the South African sports arena, and is a critical component allowing sports unions to remain financially viable and sustainable. Sports sponsoring companies, however, have long questioned the financial returns generated from these ventures. The purpose of this paper is to understand whether financial returns of companies with sports sponsorship in South Africa are significantly different to those without. This research was conducted on Johannesburg Stock Exchange (JSE) listed companies that sponsored sport consistently between 2000 and 2015 for a period of two years. A quantitative methodology was employed whereby share price, revenue and earnings growth were analysed, comparing firms that did not adopt strategies involving sports sponsorships to those that did.

Design/methodology/approach

A quantitative methodology was employed, whereby share price, revenue and earnings growth were analysed, comparing firms that did not adopt strategies involving sports sponsorships to those that did. South Africa is an emerging market and a member of the BRICS Forum ranked 14th in the sport sponsorship market globally (Sport Marketing Frontiers, 2011), becoming increasingly dominant in the global sports industry (Goldman, 2011). The population consisted of JSE-listed Main Board and alternative exchange companies that participated in any form of consistent sports sponsorship in the given time frame: 2000-2015, where the company’s share price, revenue and earnings per share (EPS) data for the period were available from the INET BFA database. The JSE is ranked 17th in terms of market capitalisation (over $1 trillion) in the world, being the largest stock exchange on the African continent with over $30bn being traded on average monthly. Multiple journals today publish research done on the JSE, for example the International Journal of Sports Marketing and Sponsorship, Investment Analysts Journal and the South African Journal of Accounting Research. This stock exchange is 125 years old and has over 400 listed companies of which 358 are domestic (Kruger et al., 2014).

Findings

Results show that companies involved in sports sponsorship during the period analysed did not experience enhanced share price or revenue growth in excess of those companies not involved in sports sponsorship. As a whole, sports sponsoring companies did however experience greater income growth (EPS) than those companies not involved in sports sponsorship. Enhanced revenue growth was found in the consumer services sector, indicating that sport sponsorship in this sector drives brand image and recall resulting in enhanced revenues. These results though indicate that a multitude of differing objectives may exist for companies engaging with sports sponsorship, with increased sales not the singular objective. In general it is concluded that sports sponsorship is considered to achieve a broad spectrum of outcomes that are likely to contribute to increased profitability.

Research limitations/implications

The relatively small size of 40 firms on the JSE in the South African sports sponsorship market is a limitation for this research. The purely quantitative approach limited the ability to gain the required level of insight into those sectors with small samples, which a qualitative study would reveal. SABMiller as example could not be analysed against its sector peers, given that it is one of the most prominent and consistent sports sponsors in South Africa across all major sporting codes. The telecommunications sector was represented entirely by companies that were involved in sports sponsorship and, hence, no in-depth comparison could be conducted within this sector. Vodacom, a major sponsor of sport in South Africa, could not be compared with its peers utilising purely financial and statistical methods. Cell C is one of the most prominent sponsors of rugby in South Africa, through its title sponsorship of the Cell C Sharks, and was not included in this study as it is not listed on the JSE. It is suggested that such companies should be included in a qualitative study approach.

Practical implications

The results of the Mann-Whitney U test for the consumer services and financial sectors confirm no significant difference in EPS growth for companies utilising consistent sports sponsorship as part of their marketing mix to those that do not. The consumer services sector has seen above-average revenue growth from sports sponsorship compared with its sector peers; however, the sector was unable to convert this increased revenue growth into increased profits, suggesting that the cost of sponsoring, as well as the operating costs associated with sports sponsorship, counteract any growth in revenue.

Social implications

The sample of sports-sponsoring companies experienced a larger annual mean EPS growth rate of 30.6 per cent compared to the remaining JSE Main Board companies which grew EPS annually at 27.4 per cent. The results of the Mann-Whitney U test confirm a significant difference in EPS growth for companies utilising consistent sports sponsorship as part of their marketing mix. From a practical interpretive perspective, this result reveals that those companies in South Africa involved in sports sponsorship consistently attain greater than market-related profit growth. This poses some interesting points for discussion, given that revenue growth was not statistically different, which suggests that many sponsors are utilising the sponsorships for purposes other than sales growths that result in a profitable outcome. The potential range of options is large but would likely comprise the creation of stronger supplier relationships, resulting in optimised business inputs. Sponsors might be utilising sponsorships to improve corporate social status, which assists them in creating regulatory compliance, in some instances. Additionally, these sponsorships may be utilised to maintain key client relationships that provide the highest levels of profitability, and whilst this might not grow revenue through new business acquisition, it may result in higher profitability as a result of a loyal and stable customer base.

Originality/value

Much of the available research focusses on the sponsorship of specific sporting events and the share price impact thereof at specific occasions like the announcement, renewal and termination. Where research is conducted across a multitude of sporting events and codes, this predominantly focusses on share price performance only, with varying and somewhat inconclusive results. There is little research focussing on wider, more comprehensive sets of sponsored events and sporting codes, and that seeks to provide an understanding of financial returns for sponsoring properties. In a study of more than 50 US-based corporations it was found that, as a group, corporations which consistently invested in sports sponsorships outperformed market averages, and that those with higher sponsorship spend achieved higher returns (Jensen and Hsu, 2011). The study utilised descriptive statistics. More analysis, utilising detailed statistical analysis, is required to better understand the effects of sponsorship on the wider set of variables analysed. In this case, a five-year compound annual growth rate was calculated for stock price appreciation, total revenue, net income and EPS, and analysed descriptively with only means and standard deviation. Measurement of such variables assists with an understanding of the materialized results of sponsorship as opposed to much of the work in this field, which analyses market reactions to sponsorship announcements.

Details

International Journal of Sports Marketing and Sponsorship, vol. 20 no. 1
Type: Research Article
ISSN: 1464-6668

Keywords

1 – 10 of over 2000