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This paper aims to examine the role of Open Artificial Intelligence application (ChatGPT) to identify challenges faced by developers working on React.js libraries.

Scopus and Google Scholar databases were searched for the literature. In addition, ChatGPT application was accessed to extract contents regarding its potential role in identifying challenges and their solutions for developers.

This paper found that ChatGPT has potential in identifying challenges, faced by learners and developers. ChatGPT enables developers to navigate the projects’ libraries and overcome steep learning curve issue. ChatGPT excels in helping the developers by presenting a range of valuable strengths. These include offering tutorials and document support, providing comprehensive programming challenges solutions, assisting with the configuration and adding in debugging process of React.js application.

To the best of the authors’ knowledge, this is one of the first articles presenting the potential role of ChatGPT in identifying and offering solutions to the challenges of learners and programmers about React.js.

This study aims to determine whether or not fashion retail brands can maintain their essence by providing personalized care through conventional face-to-face interactions or the use of e-services.

An exploratory investigation is being conducted to attain this goal. According to the findings of this research, Chatbots have an impact on consumer loyalty. The quality of a Chatbot’s system, service and information are all critical to providing a positive consumer experience.

The study concluded that Chatbot e-services might potentially enable dynamic and fascinating interactions between firms and their consumers. To personalize a Chatbot, firms might change the tone of the language used. Customers are more likely to use a Chatbot if it resembles a real person, which increases their pleasure and confidence in the product.

More precisely, the emphasis of the inquiry was on Chatbot, a relatively new digital tool that offers user-friendly, personalized and one-of-a-kind support to customers. Using information supplied by consumers, the authors examine a five-dimensional model that gauges how customers feel about Chatbots in terms of their ability to communicate with users, offer amusement, be trendy, personalize interactions and solve problems.

The purpose of the study is to classify the radiographic images into three categories such as fillings, cavity and implant to identify dental diseases because dental disease is a very common dental health problem for all people. The detection of dental issues and the selection of the most suitable method of treatment are both determined by the results of a radiological examination. Dental x-rays provide important information about the insides of teeth and their surrounding cells, which helps dentists detect dental issues that are not immediately visible. The analysis of dental x-rays, which is typically done by dentists, is a time-consuming process that can become an error-prone technique due to the wide variations in the structure of teeth and the dentist's lack of expertise. The workload of a dental professional and the chance of misinterpretation can be decreased by the availability of such a system, which can interpret the result of an x-ray automatically.

This study uses deep learning (DL) models to identify dental diseases in order to tackle this issue. Four different DL models, such as ResNet-101, Xception, DenseNet-201 and EfficientNet-B0, were evaluated in order to determine which one would be the most useful for the detection of dental diseases (such as fillings, cavity and implant).

Loss and accuracy curves have been used to analyze the model. However, the EfficientNet-B0 model performed better compared to Xception, DenseNet-201 and ResNet-101. The accuracy, recall, F1-score and AUC values for this model were 98.91, 98.91, 98.74 and 99.98%, respectively. The accuracy rates for the Xception, ResNet-101 and DenseNet-201 are 96.74, 93.48 and 95.65%, respectively.

The present study can benefit dentists from using the DL model to more accurately diagnose dental problems.

This study is conducted to evaluate dental diseases using Convolutional neural network (CNN) techniques to assist dentists in selecting the most effective technique for a particular clinical condition.

This article investigates the factors in customer engagement with electronic brand (e-brand) communities and the mechanism behind their effects. The aim is to investigate the influence of various characteristics of e-brand communities on customer engagement, satisfaction through brand loyalty, and Recommendation.

A survey questionnaire was administered to 320 Facebook users in Pakistan. The aim is to investigate the influence of various characteristics of e-brand communities on customer engagement, satisfaction through brand loyalty and recommendation. The data were analyzed using PLS-SEM to test a model developed under the stimulus–organism–response perspective.

Each community attribute significantly affected customer engagement, which was further found to mediate the relationship from these attributes through to customer satisfaction and then to brand loyalty and recommendation.

An original model hypothesized from the stimulus–organism–response framework was validated among an emerging market sample, highlighting the role of customer engagement with e-brand communities in mediating the effects of information and service quality on customer satisfaction.

The purpose of this paper is to investigate the impact of the technology acceptance model, privacy concerns and demographic factors on intention to use (ITU) social networking sites (SNSs).

A questionnaire survey was developed and administered to a convenience sample of 838 university students.

The findings indicate that perceived privacy, demographic factors and perceived usefulness (PU) have a significant effect on the ITU SNSs, and that age does not moderate the relationship between perceived ease-of-use and PU.

This study confirms the growing importance of SNSs. It also provides social networking service providers with insights into user intentions towards such networks.

Branding plays a vital role in the success of every organization and even industry. In Islamic countries, every organization must consider Sharia rules while strategy making. Nowadays, the supply chain is considered a major tool of branding and marketing. After an extensive literature review, it has been found that the studies that test the marketing advantages (MAs) and sustainable competitiveness through branding are scarce. The purpose of this study is to empirically examine the relationship between branding and MAs and mediating the role of sustainable competitiveness.

This is a quantitative study. An instrument was adopted, and data were collected. The researchers tested the hypotheses from the survey data from 179 electronic organizations. The data ware analyzed through structural equation modeling to examine the proposed hypothesis of this study.

The findings indicate that the relationship among dimensions of branding attitude and MAs were supported (expect reliability). Additionally, this study also revealed that a sustainable competitive variable plays a substantial role as a mediating variable in those relationships.

This study is a cross-sectional survey. Consequently, the limited sample size from the electric industry may affect the power of generalizability. The next study may be demonstrated for other industries to respect the nature of the branding and MAs among the managerial staff of other industries.

This study will help managers to understand how to use the supply chain as branding for their MAs through sustainable competitiveness.

This study adds practical value to the literature on sustainable competitive, branding and MA and supply chain. The study shows that sustainable competitiveness has varying mediating effects on industry value.

The purpose of this paper is to scrutinize the marketing orientation and market-oriented cultural elements of integrated Islamic schools. These integrated schools teach modern science curriculum alongside comprehensive religious instruction in an Islamic environment.

This is an inductive, exploratory research from an interpretivist study. Narrative inquiry was undertaken to understand the perceptions, attitudes and actions of school senior management and teachers. Content analysis of the school websites and social media pages was carried out. In total, 7 schools and 16 respondents became part of the purposive sample.

The presence of several integrated Islamic schools, experienced Islamic education leadership and Islamic education consultants are evidence of a growing sector. The schools are technologically enabled, strongly customer-oriented and adept at inter-functional coordination. The need-gap found in this sector is in competitor orientation, curriculum development and recruitment of specific criteria-based staff.

With the mushrooming of integrated Islamic schools in Pakistan, the level of competition has also risen. The schools have made a considerable investment and strives to maintain and increase the enrollment rate of the institute. This research can enlighten integrated Islamic educators about effective education marketing practices and the prevalence of marketing orientation in such schools.

In Pakistan, private primary schools strive to differentiate themselves and competitively position their value proposition. The marketization of education has begun to affect perceptions of school staff, teachers, students and academic work itself. Yet, there is scarce exploratory research on marketing done by integrated Islamic primary schools. This study will contribute foundational work for the development of a holistic marketing model tailored to the requirements of integrated Islamic schools.

The primary objective of this study is to investigate the impact of a host country's corruption on the autonomy of a foreign subsidiary from a country with lower tolerance for corruption. In doing so, the study examines the moderating role of subsidiary-headquarters communication and multinational corporation's (MNC's) prior international experience in countries with a higher tolerance for corruption.

The data were collected from 182 foreign subsidiaries of 57 Malaysian MNCs operating in 16 host countries. The study employed ordinary least square (OLS) using Stata16.1 to analyze the modeled relationships.

The findings of this study reveal a significant positive association between the extent of corruption in the host country and the subsidiary's autonomy. The findings illustrate that an MNC's prior experience in the country with an increased tolerance for corruption does not moderate the association between corruption and subsidiary autonomy. However, the findings also confirm that the extent of headquarters-subsidiary communication negatively moderates the association between corruption and subsidiary autonomy.

The study uses unique data collected from Malaysian MNCs. Furthermore, the study contributes to the literature by bringing forth subsidiary autonomy as a counter strategy to potential risks that can arise due to weak institutions and widespread corruption in a host country.

Extant research on workplace ostracism has investigated a victimization perspective to understand ostracism at the cost of examining the perpetrator-centric view of ostracism. This study aims to draw on the self-categorization theory and the social exchange theory to investigate the harmful effects of workplace romance in cultivating workplace ostracism from the perspective of perpetrator to combat concerns for victim blaming. This study further proposes that workplace ostracism triggered by workplace romance provokes interpersonal conflict. Besides, this study investigates the moderating role of prosocial behavior in the underlying linkages.

This study uses a multisource, time-lagged research design to collect data from employees working in the service sector organizations in Pakistan. This study analyzes 367 responses using SmartPLS (v 4.0).

The findings of this study reveal that workplace romance elicits workplace ostracism, which, in turn, fosters interpersonal conflict among coworkers. In addition, this study finds that ingroup prosocial behavior strengthens the associations between workplace romance and workplace ostracism, and workplace romance and interpersonal conflict, mediated by workplace ostracism such that the associations are more potent at higher levels of ingroup prosocial behavior and vice versa.

To the best of the authors’ knowledge, this is the first study that examines workplace romance as the perpetrator-centric antecedent of workplace ostracism, and ingroup prosocial behavior in exaggerating the outgroup ostracism and interpersonal conflict.