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Article
Publication date: 22 February 2022

Vasishta Bhargava, Satya Prasad Maddula, Swamy Naidu Venkata Neigapula, Md. Akhtar Khan, Chinmaya Prasad Padhy and Dwivedi Yagya Dutta

This paper aims to model the aerodynamic flow characteristics of NACA0010 for various angle of attacks including stall for incompressible flows using panel methods. This paper…

164

Abstract

Purpose

This paper aims to model the aerodynamic flow characteristics of NACA0010 for various angle of attacks including stall for incompressible flows using panel methods. This paper also aims to quantify the surface pressure distribution on streamlined bodies and validate the results with analytical Jukouwski method and inverse panel methods that can predict the aerodynamic flow behaviour using the geometric iteration approach.

Design/methodology/approach

The 2 D panel method was implemented in Qblade software v.06 which uses the fundamental panel method which rely on source strengths and influence coefficients to determine the velocity and pressure fields on the surface. The software implements the boundary layer or viscous effects to determine the influence on aerodynamic performance at various angles of attack. Jukouwski method is also evaluated for predicting aerodynamic characteristics and is based on the geometric iteration approach. Then complex aerodynamic flow potentials are determined based on the source strengths which are used to predict the pressure and velocity fields.

Findings

At low to moderate angles of attack, panel and Jukouwski methods predict similar results for surface pressure coefficients comparable to Hess and Smith inverse method. In comparison to panel method, results from the Jukouwski mapping method predicted the pressure coefficient conservatively for the same free stream conditions. With increase in Reynolds number, lift coefficient and aerodynamic performance improved significantly for un-tripped aerofoil when stall angle is approached when compared to tripped aerofoil.

Practical implications

This study demonstrated that panel methods have higher efficacy in terms of computational time or resources and thus can provide benefits to many real-world aircraft or aerospace design applications.

Originality/value

Even though panel and Jukouwski methods have been studied extensively in the past, this paper demonstrates the efficacy of both methods for modelling aerodynamic flows that range between moderate to high Reynolds number which are critical for many aircraft applications. Both methods have been validated with analytical and inverse design methods which are able to predict aerodynamic flow characteristics for simple bluff bodies, streamlined aerofoils as well as bio-inspired corrugated aerofoils.

Details

Aircraft Engineering and Aerospace Technology, vol. 94 no. 6
Type: Research Article
ISSN: 1748-8842

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Article
Publication date: 17 October 2018

Md Jakiul Islam, Md Abu Sayeed, Shakil Akhtar, Md Sakhawat Hossain and Afroza Akter Liza

The purpose of this paper is to conduct consumer profile analysis for chicken, beef, mutton, fish and egg to better adapt the marketing mix for each type of food in Bangladesh.

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Abstract

Purpose

The purpose of this paper is to conduct consumer profile analysis for chicken, beef, mutton, fish and egg to better adapt the marketing mix for each type of food in Bangladesh.

Design/methodology/approach

This paper investigates the mean consumption frequency of chicken, beef, mutton, fish and egg, following 658 questionnaire survey results. The sociodemographic variables used in this study were: sex, age, gender, educational level, social class, number of family members in the home, the presence of minors less than 18 years in the home and geographical area. Frequency distribution, factor and cluster analysis were performed to understand the food consumption frequency and food-related lifestyle segment, respectively. The statistical significance for differences among the mean values of different foods was tested by Snedecor’s F-test.

Findings

Egg was the most frequently consumed; 77 per cent of respondents ate egg once daily. Chicken was the second most consumed (62 per cent), whereas fish was third (59 per cent). Mutton was in the fourth place of consumption frequency level. However, 24 per cent of respondents did not consume mutton. The same types of behaviour were observed for beef, which was the least consumed (7 per cent) once daily, 48 per cent once a week, whereas 13 per cent did not consume it. There was no specific consumer behaviour pattern for the sociodemographic variables and types of food studied here.

Originality/value

This research provides the status of consumer preferences towards chicken, beef, mutton, fish and egg consumption in Bangladesh.

Details

British Food Journal, vol. 120 no. 12
Type: Research Article
ISSN: 0007-070X

Keywords

Available. Open Access. Open Access
Article
Publication date: 15 December 2020

Md. Al Amin, Md. Shamsul Arefin, Nayeema Sultana, Md. Rakibul Islam, Israt Jahan and Ayeasha Akhtar

This study was designed to specifically explore confirmation and perceived usefulness associated with mobile food ordering apps (MFOAs) in consideration of their impacts upon…

18006

Abstract

Purpose

This study was designed to specifically explore confirmation and perceived usefulness associated with mobile food ordering apps (MFOAs) in consideration of their impacts upon attitudes, satisfaction and intention to continuously use.

Design/methodology/approach

The research utilized the convenience sampling to gather data from 250 respondents having prior experience with MFOAs during COVID-19 pandemic period in Bangladesh. The Structural Equation Modeling technique was applied to analyze the data using SmartPLS 3 software.

Findings

This study's results showed that customers' perceived confirmation and usefulness were significant in determining their dinning attitudes. Besides, customers' dining attitudes were positively related to e-satisfaction. Finally, the customers’ continuance intention to use MFOAs was significantly influenced by their e-satisfaction.

Research limitations/implications

Restaurants managers should focus on online sales through MFOAs during the pandemic period since social distancing is a key strategy to manage COVID-19. Customers should be assured that the safety measures are undertaken while delivering the food.

Originality/value

This study incorporated the expectation-confirmation theory and technology acceptance model and tested it in the context of MFOAs.

Details

European Journal of Management and Business Economics, vol. 30 no. 2
Type: Research Article
ISSN: 2444-8451

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Article
Publication date: 14 November 2024

Imran Khan and Mohammed Anam Akhtar

The objective of the research is to examine the impact of global governance and macroeconomic indicators on the lending capacity of banks in India.

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Abstract

Purpose

The objective of the research is to examine the impact of global governance and macroeconomic indicators on the lending capacity of banks in India.

Design/methodology/approach

Employing a comprehensive time series dataset spanning from 1996 to 2022, we utilize the Nonlinear Autoregressive Distributed Lag model approach to investigate the short-run and long-run impact of government policy (GP) effectiveness, lending interest rates and remittance inflows (RI) on the lending capacity of banks in India.

Findings

The findings of the study indicate that lending interest rates have a statistically insignificant impact on lending capacity in the short term. However, in the long run, an increase in the lending interest rate leads to a decrease in lending capacity, whereas a decrease in the lending interest rate has a non-significant impact. On the other hand, the effectiveness of GPs affects both short-term and long-term lending capacity. In the short run, positive or negative changes in GP effectiveness lead to a decline in lending capacity. Whereas in the long run, a positive shock in GP effectiveness increases lending capacity, while a negative shock decreases it. Lastly, RI indicated no significant short-term impact on the lending capacity of the banks. Conversely, in the long run, a positive change in RI enhances lending capacity, whereas a negative change in RI reduces it, with a more pronounced effect.

Originality/value

The novelty of the study lies in the fact that it is a pioneering study that utilizes global governance and macroeconomic indicators to examine the impact on the lending capacity of banks and financial institutions in India. Moreover, the study adopts a non-linear approach to examine the relationship between the chosen variables, which enables an understanding of the impact of both positive and negative shocks on the dependent variable both in the short and long run. Lastly, the examination sheds light on the achievement of Sustainable Development Goal 8.10, which is related to financial inclusion and it is a major concern for a large developing nation like India.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 1 June 2022

Md Shamim Hossain, Mst Farjana Rahman, Md Kutub Uddin and Md Kamal Hossain

There is a strong prerequisite for organizations to analyze customer review behavior to evaluate the competitive business environment. The purpose of this study is to analyze and…

900

Abstract

Purpose

There is a strong prerequisite for organizations to analyze customer review behavior to evaluate the competitive business environment. The purpose of this study is to analyze and predict customer reviews of halal restaurants using machine learning (ML) approaches.

Design/methodology/approach

The authors collected customer review data from the Yelp website. The authors filtered the reviews of only halal restaurants from the original data set. Following cleaning, the filtered review texts were classified as positive, neutral or negative sentiments, and those sentiments were scored using the AFINN and VADER sentiment algorithms. Also, the current study applies four machine learning methods to classify each review toward halal restaurants into its sentiment class.

Findings

The experiment showed that most of the customer reviews toward halal restaurants were positive. The authors also discovered that all of the methods (decision tree, linear support vector machine, logistic regression and random forest classifier) can correctly classify the review text into sentiment class, but logistic regression outperforms the others in terms of accuracy.

Practical implications

The results facilitate halal restaurateurs in identifying customer review behavior.

Social implications

Sentiment and emotions, according to appraisal theory, form the basis for all interactions, facilitating cognitive functions and supporting prospective customers in making sense of experiences. Emotion theory also describes human affective states that determine motives and actions. The study looks at how potential customers might react to a halal restaurant’s consensus on social media based on reviewers’ opinions of halal restaurants because emotions can be conveyed through reviews.

Originality/value

This study applies machine learning approaches to analyze and predict customer sentiment based on the review texts toward halal restaurants.

Details

Journal of Islamic Marketing, vol. 14 no. 7
Type: Research Article
ISSN: 1759-0833

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Article
Publication date: 31 December 2020

Risha Fayyaz, Fasih Ali Ahmed, Adeel Abid, Afshan Akhtar, Rabail Jarwar, Anila Jasmine, Sameer Ahmad Khan, Shahira Shahid, Iraj Khan, Aneeq Muhammad Yousuf and Imtiaz Jehan

This study aims to assess the quality of care among adult oncology patients in tertiary care hospitals in Karachi by using an international standard of quality of care and to…

354

Abstract

Purpose

This study aims to assess the quality of care among adult oncology patients in tertiary care hospitals in Karachi by using an international standard of quality of care and to identify domains where improvement is needed.

Design/methodology/approach

This is a cross-sectional study carried out at two tertiary care hospitals of Karachi, Pakistan, belonging to private and public sector, respectively, between February and April 2018. Face-to-face interviews were conducted using a modified questionnaire having five-point Likert scale questions regarding satisfaction of patients with doctors, nursing staff, information provided and the hospital standards. SPSS 20 was used for statistical analysis, and the results were expressed using mean, frequencies, percentages and p-values.

Findings

The authors approached 415 patients, out of which 389 patients agreed to participate in the study. For both hospitals, the lowest mean scores were for sections pertaining to satisfaction with psychosocial support and information provided. The mean satisfaction score of patients from the private hospital were found to be significantly higher as compared to patients from the public hospital for all domains of patient care (p-value < 0.01 using t-test for two independent samples). The data showed an increasing trend of “satisfied” responses as the household income increased.

Research limitations/implications

A comparative study should be conducted with the aim of pinpointing the differences in areas in which there is a significant difference in positive satisfaction levels between private and public sectors. Similar research could also be expanded adding other variables that affect quality of care such as doctor's approach to their patients, time given during each consultation and patient's understanding of doctor's knowledge. Further studies can be done to bridge the gaps between what a doctor views as standard care and what the patient knows will help them receive a more holistic approach to care.

Practical implications

Assessing the quality of care helps determine gaps in care and allocating health resources accordingly. In clinical practice, emphasis needs to be given on increased duration and improved quality of patient counselling to improve the low satisfaction levels of patients regarding the psychosocial support. Addressing patients' concerns should be made part of clinical teaching from an undergraduate level. As far as patient access to doctors of the specific speciality is concerned, hospital managements should adopt systems to ensure continuum of care and come up with mechanisms to bridge the discrepancy between a patient's needs and doctor availability.

Social implications

After being identified as a major deficiency, training doctors in the sensitivities of the population and demographics, especially with respect to socio-economic statuses, can aid in enhancing patient satisfaction to the treatment. Implementation of patient-centred care leads to greater satisfaction with care, which, in turn, increases a patient's self efficacy in managing important aspects of their care and improves health care-related quality of life.

Originality/value

Cancer patients have long-term exposure to the hospital environment. A patient's satisfaction with the quality of care is an important determinant in patient compliance to the treatment protocol and required hospital visits. There is a dearth of research on the outpatient quality of care in the oncology departments in Karachi. This study provides an overview of the quality of care available to cancer patients in Karachi both in public and private sectors. The results of our study identify the gaps in the quality of care being provided to the patients in a developing country like Pakistan, which can be used to improve the quality of care, leading to better patient outcomes.

Details

International Journal of Health Care Quality Assurance, vol. 34 no. 1
Type: Research Article
ISSN: 0952-6862

Keywords

Available. Open Access. Open Access
Article
Publication date: 17 February 2025

Md. Mamun Mia, Mohammad Abdur Rahman, Sayed Farrukh Ahmed, Mohammed Masum Iqbal and Md. Sabur Khan

This study pioneers examining the relationships between psychological factors, cognitive processes and entrepreneurial mindset to enhance an understanding of the underlying…

33

Abstract

Purpose

This study pioneers examining the relationships between psychological factors, cognitive processes and entrepreneurial mindset to enhance an understanding of the underlying mechanisms contributing to successful entrepreneurship.

Design/methodology/approach

Amos software applied a quantitative approach to analyze the fit indices for the hypothesized model, while SPSS conducted descriptive and factor analysis. Eventually, the primary survey technique was performed with quantitative research, collecting 413 numerical data through a structured, closed-ended Likert scale questionnaire delivered to the target respondents.

Findings

Results have shown that data analysis verifies the positive relationships between psychological factors and the entrepreneurial mindset (hypothesis H1) and cognitive processes and the entrepreneurial mindset (hypothesis H2). These findings contribute to understanding the mechanisms underpinning the entrepreneurial mindset and have implications for entrepreneurship development and support initiatives. The study findings also underscore the importance of understanding the covariance between psychology and cognition in the context of the entrepreneurial mindset – a complex and engaging aspect of the research that is crucial for a comprehensive understanding of entrepreneurship.

Research limitations/implications

It is important to note that the measuring tools used to evaluate these characteristics may have issues with common technique biases, self-report biases or limitations in fully reflecting their complexity. Awareness of these potential challenges is crucial for future research in this area.

Originality/value

This study's findings have significant practical implications for entrepreneurship training, education and policy-making initiatives. Their practicality will equip the reader with the necessary knowledge to succeed in entrepreneurship.

Details

Revista de Gestão, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1809-2276

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Article
Publication date: 18 July 2024

Muhammad Waqas, Qingfeng Meng, Syed Abdul Rehman Khan and Kramat Hussain

Organizations' technological management capabilities (TMC) have emerged as a powerful tool to enable manufacturing firms to deal with environmental issues. This empirical…

185

Abstract

Purpose

Organizations' technological management capabilities (TMC) have emerged as a powerful tool to enable manufacturing firms to deal with environmental issues. This empirical investigation aims to introduce and validate a novel conceptual framework that seeks to uncover the latent relationships among the selected constructs of this study. Organizational TMC could enhance green production (GP) and reinforce the green competitive advantage (GCA) among manufacturing firms. Therefore, this research investigates the role of TMC of firms such as artificial intelligence capability (AIC), big data analytics capability (BDAC) and Internet of things capability (IOTC) in reshaping green innovation (RGI), employee development (ED), GP and GCA.

Design/methodology/approach

The Partial Least Squares-Structural Equation Modeling was proposed to test and validate this research’s conceptual model using 463 valid responses from manufacturing under the China–Pakistan Economic Corridor (CPEC) umbrella.

Findings

Our statistical findings confirmed that TMCs such as AIC, BDAC and IOTC supported the GP and CGA. ED and RGI positively correlated to GP. The hypotheses testing results also confirmed the mediating role of ED, RGI and GP and the moderating role of green firm innovativeness capability (GFIC) in the underdeveloped context of the manufacturing industry under the CPEC.

Originality/value

Moreover, the statistical findings of this study extend the existing literature by validating the possible direct, indirect/mediation and indirect/moderation relationship between TMC and GCA.

Details

Journal of Manufacturing Technology Management, vol. 35 no. 8
Type: Research Article
ISSN: 1741-038X

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Book part
Publication date: 25 November 2019

Hassan Raza, Brad van Eeden-Moorefield, Soyoung Lee and Lisa Lieberman

The current study aims to use bioecological theory to examine the effects of different contextual factors such as husbands’ desire for children, visit by a family planning worker…

Abstract

The current study aims to use bioecological theory to examine the effects of different contextual factors such as husbands’ desire for children, visit by a family planning worker, media messages, and province level on women’s use of contraception in Pakistan. Two cross-sectional data sets were taken from the Pakistan Demographic and Health Surveys (PDHS), conducted in 2006–07 and 2012–13, which included 3,811 and 4,871 currently married, lower socioeconomic status (SES) women aged 15–49 years, respectively. Using logistic regression, the results showed that women’s perception of a husband’s desire for children and visit by family planning workers were significant predictors of women’s use of contraception in both periods (i.e. PDHS 2006–07 and PDHS, 2012–13). Specifically, those women who had a desire for children similar to their husband were more likely to use contraception than those who either were not sure about their husband’s desire for children or whose desire for children was less or more than their husband. Moreover, those women who had at least one visit from a family planning worker during the 12 months prior to the survey were more likely to use contraception than their counterparts.

Details

Childbearing and the Changing Nature of Parenthood: The Contexts, Actors, and Experiences of Having Children
Type: Book
ISBN: 978-1-83867-067-2

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Article
Publication date: 4 January 2016

Ghalib Khan and Rubina Bhatti

The study aims to explore the factors which influence collection development and management in academic libraries. In libraries and information centres, collection development is…

3784

Abstract

Purpose

The study aims to explore the factors which influence collection development and management in academic libraries. In libraries and information centres, collection development is considered an essential element of the information life cycle. Collection development and management activities do not emanate from a vacuum. Several factors have a direct bearing on the way in which collections are developed and managed in the academic libraries. These factors are bridges and barriers for effective collection development and management.

Design/methodology/approach

An extensive review of the available literature was made to conduct the study.

Findings

The study found that several factors have a direct bearing on the way in which collections are developed and managed in the academic libraries. These factors include goals of collection development and management policies and procedures, user needs, collection development policies (CDPs), collection development budgets, collection evaluation to determine the strength and weaknesses of various subjects in the collections, selection of reading materials, formats in which materials are selected, the issues of access versus ownership, cooperative collection development, resource-sharing programs and legal issues in collection development and management.

Originality/value

This study provides an overview of various factors that influence collection development activities in the academic libraries. It provides an insight for the selectors of library resources to take these factors into account for building effective collections in the academic libraries of Pakistan and abroad.

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