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Article
Publication date: 22 March 2023

Shamsher Singh, Abhas Jain, Prachi Chaudhary, Rishabh Gupta and Harlal Singh Mali

This paper aims to investigate the dimensional accuracy and surface roughness of printed masked stereolithography (m-SLA) parts. The fabricated specimens of photosensitive polymer…

352

Abstract

Purpose

This paper aims to investigate the dimensional accuracy and surface roughness of printed masked stereolithography (m-SLA) parts. The fabricated specimens of photosensitive polymer resin have complex shapes and various features. The influence of four process parameters of m-SLA, including layer height, exposure time, light-off delay and print orientation, is studied on response characteristics.

Design/methodology/approach

The Box–Behnken design of response surface methodology is used to examine the effect of process parameters on the shrinkage of various geometrical dimensions like diameter, length, width, and height of different features in a complex shape. Additionally, a multi-response optimization has been carried out using the desirability function to minimize the surface roughness and printing time and maximize the dimensional accuracy.

Findings

The layer height and print orientation influence the surface roughness of parts. An increase in layer height results in increased surface roughness, and the orientation parallel to the z-axis of the machine gives the highest surface roughness. The dimensional accuracy of m-SLA parts is influenced by layer height, exposure time, and print orientation. Although not significant in dimensional accuracy and surface roughness, the light-off delay can affect printing time apart from other parameters like layer height and print orientation.

Originality/value

The effect of layer height and print orientation on dimensional accuracy, printing time, and surface roughness is investigated by researchers using simple shapes in other vat photopolymerization techniques. The present work is focused on studying the effect of these parameters and additional parameters like light-off delay in complicated geometrical parts in m-SLA.

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Article
Publication date: 21 January 2025

Usman Ahmad Qadri, Alsadig Mohamed Ahmed Moustafa and Mazuri Abd Ghani

Artificial intelligence (AI)-driven marketing has transformed the landscape of consumer interactions, but it also raises ethical concerns regarding perceived manipulation and…

107

Abstract

Purpose

Artificial intelligence (AI)-driven marketing has transformed the landscape of consumer interactions, but it also raises ethical concerns regarding perceived manipulation and subsequent unethical young consumer behavior. This study aims to investigate the direct and indirect effects of AI-driven marketing on unethical young consumer behavior, with digital literacy as a moderating variable. The authors introduce and conceptualize a digital literacy construct that influences how young consumers perceive and react to manipulative AI-driven marketing tactics.

Design/methodology/approach

Using the Elaboration Likelihood Model (ELM) and the Persuasion Knowledge Model (PKM), this research explores how digital literacy influences the reception of AI-driven marketing and moderates the effects of perceived manipulative tactics. This study adopts a three-wave, time-lagged survey method among young consumers in urban Pakistan, integrating measures of AI-driven marketing techniques, perceived manipulation, digital literacy and unethical consumer behavior.

Findings

The results reveal that perceived manipulation mediates the relationship between AI-driven marketing and unethical young consumer behavior. Digital literacy significantly moderates this effect, indicating that higher digital literacy levels can mitigate the negative impacts of perceived manipulation. Conversely, lower digital literacy amplifies the negative impacts of perceived manipulation.

Practical implications

The findings underscore the need for marketers to foster transparency and ethical practices in AI-driven strategies. Enhancing consumer digital literacy can serve as a protective factor against unethical marketing practices.

Originality/value

This study contributes to the understanding of digital literacy’s protective role against unethical AI-driven marketing practices. It extends existing models of persuasion and consumer response by demonstrating how digital literacy reshapes traditional consumer response frameworks in the context of AI-driven environments.

Details

Young Consumers, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1747-3616

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Article
Publication date: 7 July 2020

Ahamed Saleel C., Asif Afzal, Irfan Anjum Badruddin, T.M. Yunus Khan, Sarfaraz Kamangar, Mostafa Abdelmohimen, Manzoore Elahi M. Soudagar and H. Fayaz

The characteristics of fluid motions in micro-channel are strong fluid-wall surface interactions, high surface to volume ratio, extremely low Reynolds number laminar flow, surface…

181

Abstract

Purpose

The characteristics of fluid motions in micro-channel are strong fluid-wall surface interactions, high surface to volume ratio, extremely low Reynolds number laminar flow, surface roughness and wall surface or zeta potential. Due to zeta potential, an electrical double layer (EDL) is formed in the vicinity of the wall surface, namely, the stern layer (layer of immobile ions) and diffuse layer (layer of mobile ions). Hence, its competent designs demand more efficient micro-scale mixing mechanisms. This paper aims to therefore carry out numerical investigations of electro osmotic flow and mixing in a constricted microchannel by modifying the existing immersed boundary method.

Design/methodology/approach

The numerical solution of electro-osmotic flow is obtained by linking Navier–Stokes equation with Poisson and Nernst–Planck equation for electric field and transportation of ion, respectively. Fluids with different concentrations enter the microchannel and its mixing along its way is simulated by solving the governing equation specified for the concentration field. Both the electro-osmotic effects and channel constriction constitute a hybrid mixing technique, a combination of passive and active methods. In microchannels, the chief factors affecting the mixing efficiency were studied efficiently from results obtained numerically.

Findings

The results indicate that the mixing efficiency is influenced with a change in zeta potential (ζ), number of triangular obstacles, EDL thickness (λ). Mixing efficiency decreases with an increment in external electric field strength (Ex), Peclet number (Pe) and Reynolds number (Re). Mixing efficiency is increased from 28.2 to 50.2% with an increase in the number of triangular obstacles from 1 to 5. As the value of Re and Pe is decreased, the overall percentage increase in the mixing efficiency is 56.4% for the case of a mixing micro-channel constricted with five triangular obstacles. It is also vivid that as the EDL overlaps in the micro-channel, the mixing efficiency is 52.7% for the given zeta potential, Re and Pe values. The findings of this study may be useful in biomedical, biotechnological, drug delivery applications, cooling of microchips and deoxyribonucleic acid hybridization.

Originality/value

The process of mixing in microchannels is widely studied due to its application in various microfluidic devices like micro electromechanical systems and lab-on-a-chip devices. Hence, its competent designs demand more efficient micro-scale mixing mechanisms. The present study carries out numerical investigations by modifying the existing immersed boundary method, on pressure-driven electro osmotic flow and mixing in a constricted microchannel using the varied number of triangular obstacles by using a modified immersed boundary method. In microchannels, the theory of EDL combined with pressure-driven flow elucidates the electro-osmotic flow.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 31 no. 3
Type: Research Article
ISSN: 0961-5539

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Publication date: 10 February 2023

Ryan Varghese, Abha Deshpande, Gargi Digholkar and Dileep Kumar

Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced every walk of life, and the education sector is no exception. In education, AI has…

Abstract

Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced every walk of life, and the education sector is no exception. In education, AI has helped to develop novel teaching and learning solutions that are currently being tested in various contexts. Businesses and governments across the globe have been pouring money into a wide array of implementations, and dozens of EdTech start-ups are being funded to capitalise on this technological force. The penetration of AI in classroom teaching is also a profound matter of discussion. These have garnered massive amounts of student big data and have a significant impact on the life of both students and educators alike.

Purpose: The prime focus of this chapter is to extensively review and analyse the vast literature available on the utilities of AI in health care, learning, and development. The specific objective of thematic exploration of the literature is to explicate the principal facets and recent advances in the development and employment of AI in the latter. This chapter also aims to explore how the EdTech and healthcare–education sectors would witness a paradigm shift with the advent and incorporation of AI.

Design/Methodology/Approach: To provide context and evidence, relevant publications were identified on ScienceDirect, PubMed, and Google Scholar using keywords like AI, education, learning, health care, and development. In addition, the latest articles were also thoroughly reviewed to underscore recent advances in the same field.

Results: The implementation of AI in the learning, development, and healthcare sector is rising steeply, with a projected expansion of about 50% by 2022. These algorithms and user interfaces economically facilitate efficient delivery of the latter.

Conclusions: The EdTech and healthcare sector has great potential for a spectrum of AI-based interventions, providing access to learning opportunities and personalised experiences. These interventions are often economic in the long run compared to conventional modalities. However, several ethical and regulatory concerns should be addressed before the complete adoption of AI in these sectors.

Originality/Value: The value in exploring this topic is to present a view on the potential of employing AI in health care, medical education, and learning and development. It also intends to open a discussion of its potential benefits and a remedy to its shortcomings.

Details

The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part B
Type: Book
ISBN: 978-1-80455-662-7

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Article
Publication date: 19 July 2024

Ali Zeb, Majed Bin Othayman, Gerald Guan Gan Goh and Syed Asad Ali Shah

Social exchange and social learning theories are widely used in many disciplines, but there is little research on the relationships between supervisor support and job performance…

232

Abstract

Purpose

Social exchange and social learning theories are widely used in many disciplines, but there is little research on the relationships between supervisor support and job performance in a developing context. Therefore this study aims to examine the links between supervisor support and job performance with the mediating role of psychological factors; empowerment and self-confidence.

Design/methodology/approach

Data for this study were collected from 364 employees working at Pakistan Telecommunication Company Limited. Partial least square structural equation modeling was used for the analysis.

Findings

The results revealed that supervisor support stimulates job performance. Empowerment and self-confidence both partially mediate the relationships between supervisor support and job performance.

Practical implications

This study adds to the current body of literature by providing insight into the influence of perceived supervisor support on job performance through the mediating role of psychological factors.

Originality/value

To the best of the authors’ knowledge, this is one of the very few studies exploring the relationships between supervisor support and job performance in developing contexts, particularly focusing on the mediating mechanisms of empowerment and self-confidence.

Details

Journal of Modelling in Management, vol. 20 no. 1
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 14 August 2023

Deepika Jhamb, Aditi Chandel, Amit Mittal and Urvashi Tandon

Earlier, the consumption of products was based mainly on their utilitarian benefits, but at present, the love for nature has driven consumers towards products not harming the…

1057

Abstract

Purpose

Earlier, the consumption of products was based mainly on their utilitarian benefits, but at present, the love for nature has driven consumers towards products not harming the environment and society. Therefore, this paper aims to examine the influence of consumers' attitudes towards organic personal care products on brand love, brand trust, altruism and sustainable consumption behaviour. Furthermore, the study further examines the impact of sustainable consumption behaviour on continuous purchase intention using health consciousness as a moderator. Finally, the study validates Behavioural Reasoning Theory and the emotional affinity towards nature to understand the proposed claims.

Design/methodology/approach

The data were collected from 364 respondents from India. Only those respondents were included in the survey who had prior experience of using organic personal care products. This study used the structural equation modelling approach to test the conceptual model.

Findings

Results of the study confirmed the positive influence of consumer attitude on brand love, brand trust and altruism. Brand love and altruism had a significant impact on sustainable consumption behaviour. Health consciousness also emerged as a moderating variable between sustainable consumption behaviour and continuous intention. Interestingly, the brand trust had no impact on sustainable consumption behaviour. Furthermore, sustainable consumption behaviour had a significant impact on continuous intention.

Originality/value

The study is helpful to organic product companies, practitioners, academicians, environment protection agencies and market regulatory authorities as it gives fresh insight into the new collective relationship of consumer attitude with brand love, brand trust, altruism and sustainable consumption behaviour in case of organic personal care products.

Details

Young Consumers, vol. 24 no. 6
Type: Research Article
ISSN: 1747-3616

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Article
Publication date: 27 August 2024

Mohamed Toukabri

Companies are increasingly appointing a Chief Sustainability Officer (CSO) to anchor the need to highlight climate change at the senior management level. This study aims to…

242

Abstract

Purpose

Companies are increasingly appointing a Chief Sustainability Officer (CSO) to anchor the need to highlight climate change at the senior management level. This study aims to examine how CSO power and sustainability-based compensation influence climate reporting and carbon performance.

Design/methodology/approach

Using one of the largest data sets to date, consisting of 18,834 company years through the author’s observations, spanning an 11-year period (2011–2021) in 33 countries. This paper used quantitative methods – specifically, ordinal logistic regression estimation. This paper measures the level of climate change disclosure based on the carbon disclosure leadership methodology. Carbon performance is based on the intensity of carbon emissions (Scope 1, Scope 2), which is a quantitative and relatively more objective measure.

Findings

The results suggest that climate change disclosure continued to increase and the carbon emissions intensity of the companies in this study gradually decreased over the sample period. This paper finds that the presence of the CSO within the top management team has a positive and significant influence on the level of information on climate change of the companies in the sample. This finding confirms the idea that the managerial capacity of CSOs motivates the disclosure of climate change. The empirical results confirm that there are differences in the role that the CSO and sustainability-based compensation play in influencing the quality of climate information disclosure in developed and developing countries.

Originality/value

The recourse on a mixed theoretical framework, which highlights upper echelons theory, argues the understanding of the role of CSOs in explaining the relationship between climate change disclosure–carbon performance relationship. The novelty of the study lies in the approaches adopted to describe the quality of climate change disclosure. To control for endogeneity, this paper uses a difference-in-difference analysis by adding a firm to the Morgan Stanley Capital International index as an exogenous shock.

Details

Society and Business Review, vol. 20 no. 1
Type: Research Article
ISSN: 1746-5680

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Article
Publication date: 21 February 2025

Mohammed Awad Alshahrani, Muhammad Zafar Yaqub, Murad Ali, Imane El Hakimi and Mohammad Asif Salam

Building on social cognitive theory and self-determination theory, this study aims to discern the innovative work behaviors of organizational employees as the process by which…

2

Abstract

Purpose

Building on social cognitive theory and self-determination theory, this study aims to discern the innovative work behaviors of organizational employees as the process by which they generate, develop and implement new and valuable ideas, practices, products or procedures shaped by entrepreneurial leadership by reinforcing intrinsic motivation and creative self-efficacy under the boundary condition of a firm’s innovative climate.

Design/methodology/approach

This study used partial least squares-based structural equation modeling on a sample of 203 employees of small and medium-sized enterprises operating in Saudi Arabia.

Findings

This study found that entrepreneurial leadership improves employees’ innovative work behavior by successively enhancing their intrinsic motivation and creative self-efficacy. Furthermore, the analysis confirmed that a firm’s innovative climate significantly moderates the strength of the indirect mediation effect between entrepreneurial leadership and employees’ innovative work behavior through sequential mediation.

Practical implications

The findings of this study yield substantial theoretical and practical implications resulting from a fine-grained understanding of the instrumentality of entrepreneurial leadership in fostering employees’ innovative work behavior. Effectively orchestrating these psychological mechanisms could enable entrepreneurial leaders to alleviate their behaviors.

Originality/value

This is an original study that outlines the importance of aligning entrepreneurial leadership and an innovative climate to shape intrinsic motivation and creative self-efficacy in employees’ innovative work behavior. It demonstrates how entrepreneurial leadership enhances innovative work behavior through the sequential mediation of intrinsic motivation and creative self-efficacy under the boundary condition of an innovative climate.

Details

International Journal of Innovation Science, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-2223

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Article
Publication date: 18 December 2023

Saeed Rabea Baatwah, Mohammed Bajaher and Mohammed Asiri

This study aims to provide archival evidence on the impact of board characteristics on corporate social responsibility (CSR) monetary performance and how they interact with the…

147

Abstract

Purpose

This study aims to provide archival evidence on the impact of board characteristics on corporate social responsibility (CSR) monetary performance and how they interact with the COVID-19 pandemic in the context of CSR monetary performance.

Design/methodology/approach

This study analyzes listed companies in Oman’s capital market from 2016 to 2021, using pooled ordinary least squares and unique CSR performance measures such as budgeting and spending.

Findings

The study finds that companies with more expertise and frequent meetings are more likely to allocate a larger budget for CSR activities. However, this does not apply to larger boards or to independent directors. During the COVID-19 pandemic, the effect of independent directors on CSR budgeting and spending is more pronounced, and boards with more expertise and meetings show a negative interaction with the pandemic. The interaction of board characteristics with COVID-19 in terms of CSR monetary performance varies depending on company size. Board independence and expertise show a significant reaction to COVID-19 infection and death cases when setting CSR budgeting and spending.

Research limitations/implications

The findings of this study are stimulating, but stem from an emerging country with unique cultural and institutional characteristics. Methodological issues were also encountered during the analysis, so readers should exercise caution when applying the results to other settings.

Practical implications

This study highlights board involvement in deciding a company’s CSR investment, as it was believed that chief executive officers are considered responsible for CSR activities. Additionally, this research underscores the significance of incorporating the financial aspects of CSR into reporting.

Originality/value

This study examines the seldom explored relationship between corporate boards and CSR monetary aspects during regular and irregular times, offering theoretical and practical insights that benefit multiple stakeholders.

Details

Journal of Financial Reporting and Accounting, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1985-2517

Keywords

Available. Open Access. Open Access
Article
Publication date: 7 July 2021

Habib Shah

Breast cancer is an important medical disorder, which is not a single disease but a cluster more than 200 different serious medical complications.

891

Abstract

Purpose

Breast cancer is an important medical disorder, which is not a single disease but a cluster more than 200 different serious medical complications.

Design/methodology/approach

The new artificial bee colony (ABC) implementation has been applied to probabilistic neural network (PNN) for training and testing purpose to classify the breast cancer data set.

Findings

The new ABC algorithm along with PNN has been successfully applied to breast cancers data set for prediction purpose with minimum iteration consuming.

Originality/value

The new implementation of ABC along PNN can be easily applied to times series problems for accurate prediction or classification.

Details

Frontiers in Engineering and Built Environment, vol. 1 no. 2
Type: Research Article
ISSN: 2634-2499

Keywords

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