Augmented reality (AR) has garnered considerable interest for its potential to motivate engagement and advance customer-brand interactions. This study explored the impact of reality congruence (RC) of AR-menus on brand information sharing (BIS) in fast-food restaurants, particularly among Generation Z (Gen Z), as well as the mediating effects of usefulness of AR menu (UAR) and brand positivity (BP) on this relationship. Media Richness Theory (MRT) was employed as the theoretical umbrella for developing the study model. To validate the research model, we employed structural equation modeling (PLS-SEM) with a sample of 209 respondents. The results demonstrate that reality congruence of AR menus is a relevant predictor of Gen Z members’ behavior in sharing information about the brand. Furthermore, this relationship was mediated by the UAR and BP. The findings also demonstrated that UAR and BP had a sequential mediating effect on the relationship between the RC of AR-menu and BIS. This revolutionary study revealed that RC of AR-menu in restaurants fosters positive behaviors in fast food settings. By highlighting AR's potential to create engaging dining experiences for Gen Z members, this study offers valuable insights for service businesses, marketing managers, and the hospitality industry. Addressing this gap in existing research emphasizes the importance of adopting innovative technologies to enhance Gen Z's customer experience and engagement in the restaurant industry.

This study aimed to determine the impact of digital transformation (DT) and digital accounting (DA) on the financial reports quality (FRQ) in companies listed in the Saudi capital market. Data were collected using a questionnaire distributed via email. The research sample consisted of 116 individuals, including accountants and executive directors in companies listed. The study adopted the smart PLS method to test hypotheses. The study found that there is an incomplete positive relationship between digital transformation and the quality of financial reports through the positive impact on the characteristics of relevance and understandability, as well as the existence of a complete positive relationship between digital accounting and the FRQ through the impact on all characteristics of accounting information.

Sentiment analysis of students’ feedback using machine learning algorithms has emerged as a valuable tool for understanding students’ sentiments and improving educational outcomes. Currently, existing systems use frequency-based methods for feature selection (e.g., Term Frequency-Inverse Document Frequency (TF-IDF) and Bag of Words (BoW)) not to capture the subtleties of emotions expressed in student feedback and do not provide insights into the specific concerns of students via topics or themes. In this study, we propose the Student Sentiment from Feedback (SSF) framework, which includes four main procedures: pre-processing, feature selection, classification, and theme finding. The SSF framework classifies student sentiments and subsequently groups feedback into themes using semantic networks based on word co-occurrence. Our innovative feature selection approach combines TF-IDF with sentiment-based features derived from SentiWordNet and intensifiers, creating a robust feature vector that enhances the dataset’s richness and improves classification accuracy and robustness. In the experiments, we utilize a public dataset from Kaggle, applying our proposed method and various machine learning models (e.g., k-nearest neighbor, decision tree, random forest, multilayer perceptron, support vector machine, gradient boosting, and extreme gradient boosting). The experimental results show that our concatenated features achieve the highest accuracy across all machine learning models (greater than 0.82). Our study demonstrates the efficacy of this hybrid feature selection method, contributing to better understanding and decision-making in educational settings.

Management practitioners often assume that raises in the contractual absolute maximum bandwidth of Internet connections increase the attitudinal bonds of customers with their access provider. The present study challenges this perspective: In a sample of up to 752 German-speaking Internet users with a wireline Internet access at home, it explores two relative speed characteristics of broadband connections (customer quality experiences in terms of delivered transmission speeds (1) relative to the maximum down- and upload bandwidths as per customer contract, and (2) relative to speeds emphasized in advertisements of a consumer’s access provider) as potential determinants of customer affinity with an access provider. Furthermore, correlations are analyzed between the frequency with which customers use speed tests to check the quality of their wireline Internet connection and their attitudinal bonds with their access provider. Multivariate regression analysis reveals that the impression that advertised wireline access bandwidths are exaggerated compared to the speeds actually delivered and – to a lesser extent – the perception that the contractual maximum speed is reached only in a low share of a customer’s Internet sessions significantly decrease customer satis-faction and significantly increase customer inclination to churn. The effects of the two speed assessments are not independent of one another: Perceived speed exaggerations in a provider’s ads impair customer bonds less (more) strongly if the experienced share of Internet sessions with speeds below the contractual maximum bandwidth is high (low). More frequent speed testing reduces customer bonding, especially in case that advertised speeds of a customer’s provider are experienced as overblown.

The purpose of this study is to examine the influences of self-identity, subjective norm and attitude on the intention to purchase luxury fashion goods. It also demonstrates how purchase intention influences on customers' intention to pay premium prices for luxury fashion goods. A theoretical model is established and assessed in this study on a sample of luxury fashion consumers in Malaysia. By means of a self-structured questionnaire, 240 valid submissions are included for data analysis with the Smart-PLS software 3.2.0. The results support all hypotheses on the correlation of self-identity, subjective norm and attitude with purchase intention and price premium, except the correlation between self-identity and purchase intention. This is the first research paper investigating self-identity as an antecedent of purchase intention, and price premium as a consequence of purchase intention. It also justifies the behavior of luxury fashion consumers with regards to luxury fashion products. Findings from this study may help marketers develop effective strategies which would yield them a competitive advantage within the luxury fashion market.

The purpose of this study is to measure the impact of institutional environment as government regulation and managers’ capabilities to maintain the relationship between the stakeholder networks and the entrepreneurial orientation within the context of the hospital industry in Indonesia. The results of data analysis from 105 small and medium private hospitals in the Jakarta city and surrounding areas show that the hospital entrepreneurial orientation was significantly influenced by government policies reflected by the legal certainty and bureaucratic attitudes that assist the implementation of the policies. Besides, it is proven that management capabilities to establish the relationships with many stakeholders, consisting of all existing partners and employees, also affect the growth of entrepreneurial orientation. Finally, the performance of the hospital is proven to be significantly influenced by the entrepreneurial orientation directly and also mediated by business model innovation. The results of this study become paradoxical because it is different from the opinion that the healthcare industry would not have accepted the concept of entrepreneurship.

Green management is fundamentally referred to the environmental practices and the implementation of the appropriate eco-friendly activities, which improve the level of people’s awareness about the environmental protection. Such green management practices have been investigated namely, redesigning of operation and production processes, innovation and R&D functions, use of technology to save energy and reduce waste, environmental awareness of stakeholders through seminars and training, investment in equipment and technology, and improvement in products or services towards improving firm efficiency in Oil and Gas industry in Jordan. The design of this study has a quantitative approach. Three hypotheses have been developed through literature review and tested using descriptive statistical analysis performed by SPSS. The number of population was 250 employees from different departments that include HR, environment, operation, maintenance, and marketing, a total of 208 completed questionnaires were analyzed as a final sample. The results show a moderate implementation of Green management practices, redesigning of operation and production processes indicated the strongest influence, while innovation and R&D functions indicated the weakest influence. Statistical positive association also was indicated between green management practices and firm efficiency. This study contributes to support the literature of Green management and environment protection that is little in developing countries like Jordan. And it urges firm management to develop effective green innovation culture to improve the implementation level of Green management which may in turn create a high level of environmental efficiency outcome in the medium and long run. Also, it’s very significant for firm management to invest more money in green innovation and R&D functions in order to improve the level of efficiency/ performance.

Branded fashion clothing is developing expeditiously in Bangladesh. Bangladeshi local apparel fashion brand outlets are flourishing with positive customers’ attitude. The aim of this research is to understand the effect of brand equity on customers’ desire to spend on a premium price on a shop-ping store named Aarong. The research tries to discover different aspects of brand equity by analyz-ing the customers’ manner and buying behavior. In this research, Aaker’s brand equity model is used to examine the influence of brand equity on consumers’ intention to pay for a premium cost. The necessary data for the study is collected from 100 respondents using the non-probability judgmental sampling technique. The collected data is analyzed by regression analysis so that the relationship can be examined, properly and the results support the proposed four hypotheses. It is found that among four brand equity variables, brand association maintained the most significant impact on creating positive customer intention to pay the premium price. Other variables such as brand recognition, discerned quality and brand faithfulness only slightly create positive influence on customer intention to pay the premium price. Thus, the results indicate that to ensure good performance and attract customers, Aarong must put more emphasis on improving all brand equity variables and maintain a suitable balance among them.

Over the years, substantial efforts have been given for exploring the halal concepts particularly, in the aspect of consumable goods and services. Concerning the issue of halal cosmetic products, the majority of the studies were undertaken until the stage of consumers’ purchase intention only. Comparatively, only few studies were found in the area of pertaining to Muslims’ purchase behavior of halal cosmetic products. Hence, this study can be considered significant in the sense that it tries to bridge this gap in the existing literature. Therefore, this study gives some new insights to the current body of knowledge by focusing on purchase behavior of halal cosmetics. The findings of the study demonstrate that attitude, perceived behavioral control, and religiosity had significant relationships with purchase intention, whereas subjective norm had an insignificant relationship. Ultimately, the findings would be helpful for generating future researches and offering supplementary resources, especially in the Malaysian context.

This paper addresses the flexible manufacturing system (FMS) problems considering both machines and automated guided vehicles (AGVs), simultaneously. A new fuzzy heuristic (FH) is proposed for solving the simultaneous scheduling problem, in order to minimize the makespan by considering the available resources. For increasing the performance of FMS one of the important factors is scheduling AGV with an integral part of the machine scheduling activity. The algorithm is tested based on 82 benchmark problems and the achieved makespan are compared with other algorithms.