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This paper aims to explore students’ intention to use and actual use of the artificial intelligence (AI)-based chatbot such as ChatGPT or Google Bird in the field of higher education in an emerging economic context like Bangladesh.

The present study uses convenience sampling techniques to collect data from the respondents. It applies partial least squares structural equation modeling (PLS-SEM) for analyzing a total of 413 responses to examine the study’s measurement and structural model.

The results explore that perceived ease of use (PEOU) negatively affects intention to adopt AI-powered chatbots (IA), whereas university students’ perceived usefulness (PU) influences their IA positively but insignificantly. Furthermore, time-saving feature (TSF), academic self-efficacy (ASE) and electronic word-of-mouth (EWOM) have a positive and direct impact on their IA. The finding also reveals that students' IA positively and significantly affects their actual use of AI-based chatbot (AU). Precisely, out of the five constructs, the TSF has the strongest impact on students’ intentions to use chatbots.

Students who are not aware of the chatbot usage benefits might ignore these AI-powered language models. On the other hand, developers of chatbots may not be conscious of the crucial drawbacks of their product as per the perceptions of their multiple users. However, the findings transmit a clear message about advantages to users and drawbacks to developers. Therefore, the results will enhance the chatbots’ functionality and usage.

The findings of the study alert the teachers, students and policymakers of higher educational institutions to understand the positive outcomes and to accept AI-powered chatbots such as OpenAI’s ChatGPT. Outcomes also notify the AI-product developers to boost the chatbot’s quality in terms of timeliness, user-friendliness, accuracy and trustworthiness.

Online shopping around the world is growing exponentially, especially during the COVID-19 pandemic. This study aims to examine how an online customer's purchasing experience influences his/her buying intention and willingness to believe in fraud news, as well as the ripple impact of satisfaction and trust, with gender as a moderator in an emerging economy during COVID-19.

Based on the underpinning of the stimulus-organism-behavior-consequence (SOBC) theory, the research model was developed, and collected data from 259 respondents using convenience samples technique. Next, the data were analyzed using partial least squares-based structural equation modeling (PLS-SEM), SPSS (Statistical Package for the Social Sciences) and Hayes Process Macro.

The study results confirmed that the online shopping experience (OSE) has positive impact on customers' satisfaction (CS), purchase intention (PI) and customer trust (CT); CS has positive effects on trust toward online shopping and their future product PI; future product PI significantly affects customers' propensity to believe and act on fraud news (PBAFN). The finding also states that gender moderates the relationships of CS to PI, OSE to PI and PI to PBAFN, but doesn't moderate the CT to PI relationship.

The study findings will assist policymakers and online vendors to win customers' hearts and minds' through confirming satisfaction, trust and a negative attitude toward fake news, which will lead to customer loyalty and the sustainable development of the industry. Finally, the limitations and future research directions are discussed.

This study aims to reveal how consumers and shoppers are negative toward alcohol, animal fat, producers and certification issues concerned with halal cosmetics products.

In total, 527 students of 4 public universities and a medical college across Bangladesh took part in a survey and 150 shoppers from 2 cities participated in the face to face interview with the structured questionnaires. Frequency distribution was used for categorical and numerical data, and the chi-square test with a binary logistic regression model has tested the association between gender and attitudes toward halal cosmetics. Besides, narratives of Sharīʿah regarding alcohol, meat, fat and halal certification have helped understand the halal issue.

In total, 83% of the respondents perceived negative attitudes against haram animal fat followed by alcohol (74%) and animal fat (64%). The chi-square test shows that consumers held a significant association toward haram animal fat, (p-value 0.000) alcohol, (p-value 0.000) non-Muslim producers (p-value 0.000) and non-Muslim countries (p-value 0.026). Imperatively, the binary logistic regression model has found a significant negative association to haram animal fat (ß2 −0.295) and alcohol (ß1 −0.200).

Marketers ought to avoid haram animal fat in halal cosmetics besides focusing on alcohol freeness. Also, non-Muslim marketers need to be extra cautious in showcasing their identities. However, Islamic marketers will enjoy a competitive advantage in the halal market because of their demographic factors.

Islamic principles on alcohol, meat, fat and certification potentially can help other stakeholders sense the halal norms.

This study has blended the elements of Sharīʿah with empirical evidence to shed light on the fundamental and trust factors for the marketing of halal cosmetics products.

The purpose of this paper is to synthesize chitosan, N-octyl chitosan (NOCh) and carboxymethyl chitosan (CMCh) derivative from prawn shell wastes and identify their applications as modifiers on cellulosic fibres, jute and cotton, to develop quality textile fibres.

Chitosan was obtained by deacetylation of chitin. NOCh was obtained by reductive amination of chitosan. Water-soluble CMCh was prepared by reacting chitosan with monochloroacetic acid in aqueous alkaline media at ambient conditions. Chitosan, NOCh and CMCh were applied on cellulosic fibres, and structure and physico-chemical characteristics of chitosan derivatives and modified fibres were investigated and analysed.

The molecular weight, degree of deacetylation and ash content of prepared chitosan were 1,39,958 Da, 85 and 2.33 per cent, respectively. The moisture content, water holding capacity and total nitrogen content were above 10, 450 and 6.5 per cent, respectively. Average degree of substitution of CMCh was 0.82 as determined by titrimetric analysis. Fourier transform infrared spectroscopy (FTIR) spectra showed characteristic peaks of carbonyl group at 1,659 cm⁻¹, –NH2 at 1,600 cm⁻¹, symmetric stretching of C-H in the methyl group at 1,520 cm⁻¹ and carboxylic group at 1,737 cm⁻¹. Thermograms showed moderate thermal stability in treated fibres compared to untreated fibres. Surface morphology of the modified fibres exhibited smoother surface due to the absorption of chitosan, NOCh and CMCh.

Modification of jute and cotton by sorption of NOCh and CMCh introduced new functional groups on the fibre surface with chemical bonding, which was confirmed by FTIR. Surface morphology of the fibres was carried out by scanning electron microscopy. As the modified fibres also showed good dyeability and colour fastness as well as other properties, the chitosan derivatives as a textile modifier would be helpful to avoid synthetic petroleum-based chemical modifiers as well as to manage the environmental pollution from prawn shell waste and other toxic chemicals.

In today's increasingly globalized world, foreign direct investment (FDI) is a hotbed for discussion. Numerous studies have been undertaken regarding FDI, its determinants and benefits, but very few works provide importance to the effect of political risk on the inflow of FDI. Some papers introduce institutional or governance issues in determining FDI inflow, but a comprehensive framework in this respect is non-existent. With this end in view, the authors take 146 countries worldwide over a period of 1984-2009 and then classify countries as OECD or non-OECD members to see whether there is any difference in the nature of the effect. The study keeps other possible determinants of FDI – market size, growth rate of real GDP, trade openness, infrastructural facilities as control variables while considering the effect of underlying political risk factors in deterring the FDI.

This paper looks at the effect of political risk on FDI by using a systematic approach of factor analysis, in reducing the number of variables into their underlying factors and then generating factor scores. Then it uses a panel regression approach combined with factor analysis to examine which particular aspect of political risk contributes more towards deterring FDI inflow.

The empirical results of this study refute the conventional notion that government failure is the primary contributing factor for poor FDI inflow. Rather, cultural conflict and the attitude of the partner country towards the host country are found to be mostly responsible for deterring FDI inflow. The result holds significantly even after controlling for traditional determinants regardless of whether it is an OECD member country or not.

It is not just governance failure but the cultural factors and development partners' attitude about the country which mostly determines FDI inflow.

This is the first paper which combines the factor analysis in a panel regression framework to examine the impact of political risk on FDI inflow.