Statistical analysis used in LIS research produced by Pakistani authors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahsan Ullah ◽  
Kanwal Ameen
Keyword(s):  
Statistical Methods ◽  
Statistical Techniques ◽  
Inferential Statistics ◽  
Growth Trend ◽  
Content Type ◽  
Female Authors ◽  
Content Analysis Method ◽  
Visible Growth ◽  
Parametric Statistics ◽  
Selection Of

PurposeStatistical methods are important for meaningful analysis, critique and interpretation of results. The current study aims to investigate the use of statistical methods used in LIS research articles produced by Pakistani authors during 2001–2016.Design/methodology/approachContent analysis method with both the qualitative and quantitative components was used. LIS articles published by Pakistani authors in national and international journals from 2001 to 2016 were selected. The descriptive and inferential statistics were used to analyze the usage of statistical techniques.FindingsThe findings show that use of descriptive statistics remained higher as compared to inferential statistics in the LIS research produced by Pakistani authors. However, a visible growth trend in the use of inferential statistical techniques is found. Males are two times more likely to use inferential statistics as compared to female authors. Articles published in foreign journals and impact factor journals used more inferential statistics as compared to local and nonimpact factor journals. Parametric inferential statistics is more popular among Pakistani authors as compared to nonparametric. Faculty was more inclined toward using parametric statistic. The percentage of collaboration was higher in the papers using parametric statistics. Few articles reported the tests to fulfill the assumptions of parametric and nonparametric statistics.Originality/valueThis study can be used to better understand the trends of statistical techniques used in LIS research and authors' orientation in this regard. It will be helpful for future researchers in the selection of appropriate statistical techniques to be used.

Do green buildings capture higher market valuations and lower vacancy rates? A Canadian case study of LEED and BOMA-BEST properties

2017 ◽  
Vol 6 (4) ◽  
pp. 102-115 ◽  
Author(s):  
Farhan Rahman ◽  
Ian Rowlands ◽  
Olaf Weber
Keyword(s):  
Green Building ◽  
Green Buildings ◽  
Real Estate Market ◽  
Statistical Techniques ◽  
Growth Trend ◽  
Content Type ◽  
Research Activities ◽  
Vacancy Rates ◽  
Market Valuations ◽  
Green Certification

Purpose It is becoming increasingly clear that as the pressures of climate change increase around the world, all nations must strive to lower their carbon footprint through conservation. If the growth trend of green building and infrastructure construction is to be continued and improved upon, then evidence must be collected as to the benefits they bring about, and the level of support they enjoy in the market. The purpose of this paper is to shed light on the economic performance of green buildings by evaluating whether LEED for Homes and BOMA-BEST properties capture higher market valuations and lower vacancy rates. These types of research questions have not been investigated to a great deal in the Canadian context. The primary analysis concerning municipal market valuation of green buildings was conducted using robust ordinary least squares and logistic regression models. Commercial vacancy rates were compared through the use of χ2 tests. Our analysis did not lead to conclusive evidence that there exists a “green” premium in the real estate market with respect to municipal market valuations. The authors argue that this may largely be due to municipal appraisal methods that currently do not incorporate sustainability factors. As such, they may not adequately reflect market tastes and trends. Furthermore, while the vacancy rates of green commercial buildings were, on the whole, lower than their non-green counterparts, the differences were not statistically significant. Given these results, the authors propose a set of research activities that the academic community should pursue. Design/methodology/approach Statistical techniques are utilized test whether green certification (LEED/BOMA-BEST) leads to higher municipal valuation for both commercial and residential green properties, using regression analysis. Furthermore, χ2 tests are conducted to evaluate whether certification leads to lower vacancy rates for commercial properties. Findings In terms of valuation, certification does not exert (on average) a positive role in terms of higher valuations for both commercial and residential properties. However, with respect to vacancy rates, there is a tendency towards lower vacancy rates for green properties, but the relationship is not statistically significant. Research limitations/implications The next set of research needs to gather greater amount of data with respect to how municipal evaluations are performed since the results are counter-intuitive. Greater tracking of the financial performance of green buildings should be conducted and made available for both public and private bodies. Particularly, rental and sale prices of green buildings need to be tracked in an organized manner. Practical implications The valuation techniques utilized by the municipal authorities need revision as green properties are being assessed without appropriate guidance from educational institutions. Furthermore, the limited amount of “green” valuation techniques in existence may not be applied. Originality/value This is the first Canadian-based research looking into the valuation of green certification using rigorous quantitative statistical techniques and original and publicly available data. Furthermore, it holds important lessons for municipal authorities with respect to green building valuation beyond Canada as the limitations of current practice go mostly likely beyond the North American context.

A study on statistical methods used in six journals of library and information science

2016 ◽  
Vol 40 (3) ◽  
pp. 416-434 ◽  
Author(s):  
Jin Zhang ◽  
Yuehua Zhao ◽  
Yanyan Wang
Keyword(s):  
Statistical Method ◽  
Statistical Methods ◽  
Quantitative Methods ◽  
Information Science ◽  
Library And Information Science ◽  
Analysis Method ◽  
Statistical Methodology ◽  
Growth Trend ◽  
Research Papers ◽  
Content Type

Purpose – Quantitative methods, especially statistical methods, play an increasingly important role in research of library and information science (LIS). For different journals, the uses of statistical methods vary substantially due to different journal scopes and aims. The purpose of this paper is to explore the characteristics of statistical methodology uses in six major scholarly journals in LIS. Design/methodology/approach – Research papers that used statistical methods from the six major journals were selected and investigated. Content analysis method, descriptive statistical analysis method, and temporal analysis method were used to compare and analyze statistical method uses in research papers of the investigated journals. Findings – The findings of this study show that there was a clear growth trend of statistical method uses in five of the investigated journals; statistical methods were used most in The Journal of the Association for Information Science and Technology and Information Processing & Management; and the top three most frequently used statistical methods were t-test, ANOVA test, and χ2-test. Originality/value – The findings can be used to better understand the application areas, patterns, and trends of statistical methods among the investigated journals and their statistical methodology orientations in research studies of LIS.

PROMETHEE-based ranking of project managers based on the five personality traits

Kybernetes ◽  
2019 ◽  
Vol 49 (4) ◽  
pp. 1083-1102
Author(s):  
Georgios N. Aretoulis ◽  
Jason Papathanasiou ◽  
Fani Antoniou
Keyword(s):  
Personality Traits ◽  
Questionnaire Survey ◽  
Multicriteria Decision Making ◽  
Project Managers ◽  
Preference Ranking ◽  
Infrastructure Projects ◽  
Public Infrastructure ◽  
Content Type ◽  
The One ◽  
Selection Of

Purpose This paper aims to rank and identify the most efficient project managers (PMs) based on personality traits, using Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE) methodology. Design/methodology/approach The proposed methodology relies on the five personality traits. These were used as the selection criteria. A questionnaire survey among 82 experienced engineers was used to estimate the required weights per personality trait. A second two-part questionnaire survey aimed at recording the PMs profile and assess the performance of personality traits per PM. PMs with the most years of experience are selected to be ranked through Visual PROMETHEE. Findings The findings suggest that a competent PM is the one that scores low on the “Neuroticism” trait and high especially on the “Conscientiousness” trait. Research limitations/implications The research applied a psychometric test specifically designed for Greek people. Furthermore, the proposed methodology is based on the personality characteristics to rank the PMs and does not consider the technical skills. Furthermore, the type of project is not considered in the process of ranking PMs. Practical implications The findings could contribute in the selection of the best PM that maximizes the project team’s performance. Social implications Improved project team communication and collaboration leading to improved project performance through better communication and collaboration. This is an additional benefit for the society, especially in the delivery of public infrastructure projects. A lot of public infrastructure projects deviate largely as far as cost and schedule is concerned and this is an additional burden for public and society. Proper project management through efficient PMs would save people’s money and time. Originality/value Identification of the best PMbased on a combination of multicriteria decision-making and psychometric tests, which focus on personality traits.

Does knowing overcome wanting? The impact of consumer knowledge and materialism upon credit card selection with young consumers

2015 ◽  
Vol 16 (1) ◽  
pp. 50-70 ◽  
Author(s):  
Jakob Cakarnis ◽  
Steve Peter D'Alessandro
Keyword(s):  
Comparative Study ◽  
Survey Research ◽  
Credit Card ◽  
Design Methodology ◽  
Credit Cards ◽  
Consumer Knowledge ◽  
Content Type ◽  
Young Professionals ◽  
The Impact ◽  
Selection Of

Purpose – This paper investigates the determinants of credit card use and misuse by student and young professionals. Critical to the research is the impact of materialism and knowledge on selection of the appropriate credit card. Design/methodology/approach – This study uses survey research and partial least squares to investigate credit card behaviors of students versus young professionals. Findings – In a comparative study of young professionals and students, it was found that consumer knowledge, as expected, leads to better consumer selection of credit cards. Materialism was also found to increase the motivation for more optimal consumer outcomes. For more experienced consumers, such as young professionals, it was found that despite them being more knowledgeable, they were more likely to select a credit card based on impulse. Originality/value – This paper examines how materialism may in fact encourage some consumers to make better decisions because they are more motivated to develop better knowledge. It also shows how better credit card selection may inhibit impulse purchasing.

Reflections on the theme issue outcomes

2016 ◽  
Vol 8 (4) ◽  
pp. 504-510
Author(s):  
Gunjan M. Sanjeev ◽  
Richard Teare
Keyword(s):  
Customer Service ◽  
Hospitality Industry ◽  
Theme Issue ◽  
Policy Makers ◽  
Content Type ◽  
Starting Point ◽  
Cost Competitiveness ◽  
Hotel Sector ◽  
Practical Implications ◽  
Selection Of

Purpose The paper aims to profile the theme issue of Worldwide Hospitality and Tourism Themes titled “How is the need for innovation being addressed by the Indian hospitality industry?” with reference to the experiences of the theme editor, contributors from the industry and academia and the theme issue outcomes. Design/methodology/approach The paper uses structured questions to enable the theme editor to reflect on the rationale for their theme issue question, the starting-point, the selection of the writing team and material and the editorial process. Findings It highlights recent innovations that have taken place in the Indian hospitality industry especially in the areas of customer service, cost competitiveness, culinary management, revenue management and technology. Practical implications As hotel sector investment in India intensifies, this theme issue will be of interest to hoteliers, policy makers, analysts and others interested in the role that innovation can play in helping to facilitate differentiation between competing hotel products and services. Originality/value There is limited literature available on industry innovations in the Indian context. All the papers in this theme issue were written after several cycles of interaction between academics and practitioners and so they incorporate real–time, relevant and contemporary data.

Using rational and emotional appeals in online advertisements for Muslim customers

2014 ◽  
Vol 5 (1) ◽  
pp. 97-124 ◽  
Author(s):  
Mehdi Behboudi ◽  
Hossein Vazifehdoust ◽  
Kobra Najafi ◽  
Mina Najafi
Keyword(s):  
Latent Variables ◽  
Online Advertising ◽  
Product Involvement ◽  
Content Type ◽  
Factors Affecting ◽  
Advertising Appeals ◽  
Emotional Appeals ◽  
Advertising Strategies ◽  
Larger Sample ◽  
Selection Of

Purpose – The purpose of this study is to verify the factors affecting the use of emotional and rational appeals in online advertising among Muslim customers in Iran. Design/methodology/approach – By reviewing the literature of advertising appeals and developing a comprehensive theoretical model, the effect of rational and emotional appeals on online advertising was examined. Expert questionnaire was administered to verify the validity of collected features. The Student's t-test was utilized to analyze the data collected from 271 participants. Findings – Five latent variables, namely user type, product involvement, e-lifestyle, advertising strategies, and internet motives were examined to explain factors affecting online advertising appeals among Muslim customers in Iran. It was found that “advertising strategies” and “user type” are the most effective factors influencing Muslims customers in developing an online advertising campaign. Research limitations/implications – The sample of this study was Iranian experts and it is necessary to conduct a survey with a larger sample size. Originality/value – This study provides insights into factors affecting the selection of emotional and rational appeals in Muslims countries. Moreover, it reports the primary columns of online advertising appeals.

Preventive maintenance scheduling using analysis of variance-based ant lion optimizer

2018 ◽  
Vol 15 (2) ◽  
pp. 254-272 ◽  
Author(s):  
Umamaheswari Elango ◽  
Ganesan Sivarajan ◽  
Abirami Manoharan ◽  
Subramanian Srikrishna
Keyword(s):  
Analysis Of Variance ◽  
Heuristic Algorithm ◽  
Heuristic Algorithms ◽  
Statistical Tests ◽  
Population Based ◽  
Maintenance Scheduling ◽  
Content Type ◽  
Ant Lion Optimizer ◽  
Ant Lion ◽  
Selection Of

Purpose Generator maintenance scheduling (GMS) is an essential task for electric power utilities as the periodical maintenance activity enhances the lifetime and also ensures the reliable and continuous operation of generating units. Though numerous meta-heuristic algorithms have been reported for the GMS solution, enhancing the existing techniques or developing new optimization procedure is still an interesting research task. The meta-heuristic algorithms are population based and the selection of their algorithmic parameters influences the quality of the solution. This paper aims to propose statistical tests guided meta-heuristic algorithm for solving the GMS problems. Design/methodology/approach The intricacy characteristics of the GMS problem in power systems necessitate an efficient and robust optimization tool. Though several meta-heuristic algorithms have been applied to solve the chosen power system operational problem, tuning of their control parameters is a protracting process. To prevail over the previously mentioned drawback, the modern meta-heuristic algorithm, namely, ant lion optimizer (ALO), is chosen as the optimization tool for solving the GMS problem. Findings The meta-heuristic algorithms are population based and require proper selection of algorithmic parameters. In this work, the ANOVA (analysis of variance) tool is proposed for selecting the most feasible decisive parameters in algorithm domain, and the statistical tests-based validation of solution quality is described. The parametric and non-parametric statistical tests are also performed to validate the selection of ALO against the various competing algorithms. The numerical and statistical results confirm that ALO is a promising tool for solving the GMS problems. Originality/value As a first attempt, ALO is applied to solve the GMS problem. Moreover, the ANOVA-based parameter selection is proposed and the statistical tests such as Wilcoxon signed rank and one-way ANOVA are conducted to validate the applicability of the intended optimization tool. The contribution of the paper can be summarized in two folds: the ANOVA-based ALO for GMS applications and statistical tests-based performance evaluation of intended algorithm.

scholarly journals New Recombinant Mycobacterium bovis BCG Expression Vectors: Improving Genetic Control over Mycobacterial Promoters

2016 ◽  
Vol 82 (8) ◽  
pp. 2240-2246 ◽  
Author(s):  
Alex I. Kanno ◽  
Cibelly Goulart ◽  
Henrique K. Rofatto ◽  
Sergio C. Oliveira ◽  
Luciana C. C. Leite ◽  
...  
Keyword(s):  
Mycobacterium Bovis ◽  
Fluorescent Protein ◽  
Vaccine Development ◽  
Expression Vectors ◽  
Content Type ◽  
Expression Levels ◽  
Wide Range ◽  
Mycobacteriophage L5 ◽  
Green Fluorescent ◽  
Selection Of

ABSTRACTThe expression of many antigens, stimulatory molecules, or even metabolic pathways in mycobacteria such asMycobacterium bovisBCG orM. smegmatiswas made possible through the development of shuttle vectors, and several recombinant vaccines have been constructed. However, gene expression in any of these systems relied mostly on the selection of natural promoters expected to provide the required level of expression by trial and error. To establish a systematic selection of promoters with a range of strengths, we generated a library of mutagenized promoters through error-prone PCR of the strong PL5promoter, originally from mycobacteriophage L5. These promoters were cloned upstream of the enhanced green fluorescent protein reporter gene, and recombinantM. smegmatisbacteria exhibiting a wide range of fluorescence levels were identified. A set of promoters was selected and identified as having high (pJK-F8), intermediate (pJK-B7, pJK-E6, pJK-D6), or low (pJK-C1) promoter strengths in bothM. smegmatisandM. bovisBCG. The sequencing of the promoter region demonstrated that it was extensively modified (6 to 11%) in all of the plasmids selected. To test the functionality of the system, two different expression vectors were demonstrated to allow corresponding expression levels of theSchistosoma mansoniantigen Sm29 in BCG. The approach used here can be used to adjust expression levels for synthetic and/or systems biology studies or for vaccine development to maximize the immune response.

scholarly journals Malaria intermittent preventive treatment in Nigeria: a qualitative study to explore barriers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fatima Mahmud Muhammad ◽  
Saharnaz Nedjat ◽  
Haniye Sadat Sajadi ◽  
Mahboubeh Parsaeian ◽  
Abraham Assan ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Pregnant Women ◽  
Intermittent Preventive Treatment ◽  
Sampling Strategy ◽  
Preventive Treatment ◽  
Group Discussions ◽  
Content Analysis Method ◽  
Conventional Content Analysis ◽  
Sulphadoxine Pyrimethamine ◽  
Selection Of

Abstract Background While the use of sulphadoxine pyrimethamine (SP) is effective in preventing malaria infection during pregnancy, there are challenges limiting its uptake in Nigeria. This study aimed at exploring the barriers to IPTp usage among pregnant women in Kano state - Nigeria. Methods This is a qualitative study. The purposive sampling strategy was used for identification and selection of 14 key informants for interviews. In addition, six focus group discussions (FGDs) were conducted with pregnant women (3 FGDs) and married men (3 FGDs). The conventional content analysis method was used to interpret meaning from the content of the data. MAXQDA 10 software was used for data management and analysis. Results Poor policy implementation, poor antenatal care attendance, inadequate access to intermittent preventive treatment at the community levels, lack of sustainable funding, and poor community engagement emerged as major barriers to IPTp use in Nigeria. Conclusion While the political will to allocate sufficient financial resources could help improve service delivery and IPTp usage among pregnant women, community participation is critical to sustain the gains.

Design and topological optimization of rear pressure bulkhead for a typical aircraft

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marshal Thakran ◽  
Meenakshi ◽  
Jitender Sharma ◽  
Charles Gilbert Martin
Keyword(s):  
Numerical Analysis ◽  
Significant Influence ◽  
Design Methodology ◽  
Structural Integrity ◽  
Topological Optimization ◽  
Content Type ◽  
Iterative Design ◽  
Practical Implications ◽  
Insight Into ◽  
Selection Of

Purpose The purpose of this paper is to evaluate the model of a rear pressure bulkhead with different design optimizations to meet the pressurized cabin requirements of an aircraft. Design/methodology/approach This paper presents the results of the static analysis of a dome-shaped rear pressure bulkhead model designed in Catia-v5. Numerical analysis of model meshed in hyper-mesh and solved using Opti-Struct for iterative design optimizations. Findings All the iterative models are analyzed at 9 Psi. Rear pressure bulkhead designed with L-section stringer shows better results than the model optimized with T-section stringer for the same thickness. The model optimized with L-shaped stinger also reduces the weight of the bulkhead without affecting the structural integrity. Practical implications It has been concluded in this paper that the selection of specific shapes of the stringers shows a significant influence on weight reduction. Originality/value This paper provides a topical, technical insight into the design and development of a rear pressure bulkhead. It also outlines the future development of dome-shaped rear pressure bulkhead.

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