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The world today is heavily controlled by the content available on the internet, where a one-star rating gain may work wonders for a company and a one-star rating decline can cause huge damage. Online booking platforms provide more freedom, privacy and contact with experienced travelers than physical hotel booking. The study identifies the factors shaping travelers' online hotel booking intention (OHBI).

We utilized structural equation modeling (SEM) to expand the horizons of the technology acceptance model (TAM) and stimulus-organism-response (SOR) framework in the hospitality sector. The results are based on the data collected from 705 travelers who made online hotel reservations.

The findings demonstrate that online reviews, hotel website quality and hotel website convenience quotient favorably shape prospective tourists' perceived trust, magnifying their inclination to book a hotel online. Website convenience quotient and trust partially mediate the association between the constructs. In addition, the linkage between perceived trust and OHBI is strengthened by promotional offers but weakened by perceived risk.

Our findings provide several important implications for hotel managers, prospective travelers, hotel owners, website developers, policymakers, hotel employees, the local community and competitors to expedite the growth of the Indian hotel industry.

The literature reveals that website convenience quotient, perceived trust and promotional offers have not received enough attention in the hospitality industry and warrant attention. Our study strives to broaden the scope of the TAM and SOR models to better understand these constructs in the backdrop of the Indian hospitality sector. The study also examines how promotional offers and perceived risk influence the linkages between the underlying constructs.

The use of innovative technologies by firm employees is a key factor in ensuring the competitiveness of firms. However, researchers and practitioners have been concerned about the willingness of technology end users to use innovative technologies. This study, therefore, aims to determine the factors affecting the intention to use marketing analytics technology.

This study surveyed 213 firm employees. The quantitative data collected was analysed using partial least squares structural equation modelling.

The results reveal that performance expectancy, facilitating conditions, attitudes and perceived trust have a positive and significant effect on intentions to use marketing analytics. Effort expectancy, social influence and personal innovativeness in information technology were found not to predict intentions to use marketing analytics.

This study has practical implications for firms seeking to enhance the use of marketing analytics technology in developing countries.

This study contributes to the use of UTAUT, perceived trust, personal innovativeness and user attitude in predicting the intentions to use marketing analytics technology.

This study aims to investigate the effect of organizational ambidexterity (OA) and organizational green culture (OGC) on corporate sustainability (CS) while incorporating the mediating role of green innovation (GI) to provide a detailed insight into CS. The study also presents a research framework based on the Organizational Ambidexterity theory and Natural Resource-based view to explain the factors contributing to CS.

Using stratified sampling, the study collected data through survey-based empirical research from 307 textile companies registered with the Securities and Exchange Commission of Pakistan (SECP) or the All-Pakistan Textile Mills Association (APTMA). The collected data were analysed using path analysis, mediation analysis and moderation analysis through smart PLS-SEM version 4.0 to assess the composition and causal association of factors.

The study found a significant relationship between OA and OGC with CS. Furthermore, the study revealed that green innovation partially mediates the relationship between OGC and CS. The proposed research framework can be valuable for promoting and recommending actions to enhance CS.

The study on CS in the textile sector of Pakistan has limitations such as a narrow focus, cross-sectional design and reliance on self-reported data. Future research should explore additional factors, conduct longitudinal research, investigate contextual factors, scrutinize specific green innovation practices and broaden the scope of the study to include SMEs and other textile organizations.

The research framework can help senior executives to foster CS by promoting OGC, OA and GI. Practitioners and academicians can also utilize or further investigate the proposed framework for validation and to foster CS.

This study fills gaps in the existing literature by investigating the mediating effect of GI between OGC and CS. The proposed research framework provides a comprehensive understanding of the factors contributing to CS based on the Organizational Ambidexterity theory and Natural Resource-based view.

This research aims to build on the pre-existing corpus of literature through the integration of the technology acceptance model (TAM) and usage habit to more accurately capture the determinants associated with social media addiction among university students. This study seeks to delineate how usage habit and TAM may be used as predictors for addiction potential, as well as provide greater insight into current trends in social media usage across this population demographic.

A cross-sectional research design was employed to investigate the determinants of social media addiction among university students in Malaysia at the onset of their tertiary education. A self-administered survey, adapted from prior studies, was administered to a sample of 217 respondents. The hypotheses on social media addiction were subsequently tested using a partial least squares structural equation modeling (PLS-SEM) approach.

Usage habit was found to be a direct and strong predictor of this type of addiction, as well as all TAM variables considered in the research. Additionally, by integrating TAM with usage habit, the study revealed a comprehensive and multi-faceted understanding of social media addiction, providing an important insight into its complexity in the Malaysian context. Although several other factors have been identified as potential contributors to social media reliance and addictive behavior, it appears that usage habit is paramount in driving these addictive tendencies among university students.

This expanded model holds significant implications for the development of interventions and policies that aim to mitigate the adverse effects of social media addiction on students' educational and psychological well-being. The study illustrates the applicability of the TAM in examining addictive behaviors within emerging contexts such as the Malaysian higher education sector, thus contributing to the extant literature on the subject.

The integrated TAM and habit model is an effective predictor of social media addiction among young adults in developing countries like Malaysia. This highlights the importance of actively monitoring and controlling users' interactions with technology and media platforms, while promoting responsible usage habits. Educators can use these findings to create tailored educational programs to educate students on how to use technology responsibly and reduce their risk of becoming addicted to social media.

This study provides a unique perspective on social media addiction among university students. The combination of TAM and usage habit has the potential to shed significant light on how variables such as perceived usefulness (PU) and perceived ease of use (PEOU) may be associated with addictive behaviors. Additionally, by considering usage habit as an explanatory factor, this research offers a novel approach to understanding how addictions form over time.

This study investigates the consequences of the key audit matter (KAM) disclosure requirement by considering two salient audit proxies: audit fees and audit report lag. This investigation is relevant because most auditors worldwide are required to expand their audit report including discussion on key matters faced in the audit engagement. However, the emerging literature on the implications of KAM is inconclusive.

Using a distinctive dataset of 601 year-observations for firms listed on the Omani capital market over 2012–2019, this study employs pooled panel data regression with robust standard error.

Results indicate that auditors increased their fees considerably during the period of KAM but substantially shortened audit report lag. Conversely, using the KAM period as a sample, the authors find marginal or insignificant evidence for the effect of the number of KAM on both proxies. In additional analyses, this study shows that entity-level risk KAM is associated with higher fees and shorter audit report lag, while KAM related to account-level risk does not have the same effect. Interestingly, it is observed that KAM disclosure is strongly associated with higher fees and high-quality audit even when the auditors issue their report in a shorter time.

This study contributes to the limited research examining the consequences of KAM in emerging markets. It is also the first to show that KAM is associated with shorter audit report lag.

The objective of this research is to evaluate and rank the factors influencing omnichannel (OC) logistics, while also investigating the significant impact of big data analytics in improving these drivers of OC logistics.

Using exploratory sequential mixed method design, an in-person interview survey was conducted to identify and stratifies the enablers of OC retailing. These interviews were supplemented with a case study in an apparel firm to prioritise the enablers of OC logistics. Further, a survey was conducted to understand the role of big data analytics in improving drivers of OC logistics as well as the role of Individual capability and organisational capability in big data usage for omnichannel retailing.

Findings represent that information management is the most important driver followed by inventory management and network design for improving OC logistics. Further, significant relationship between big data analytics and drivers of omnichannel logistics has been reported.

This study identifies and classifies the drivers of OC retailing relating to their level of criticality in OC logistics which will assists practitioners to prioritise their tasks for the successful development of OC logistics. The study will also help practitioners to use BDA for developing the drivers of OC.

The study substantiates and adds to the BDA literature by emphasising the positive role of BDA in development of OC driver and highlighting the significant role of drivers of BDA in its usage.

Investigating antecedents that may affect the usage of electronic tax declaration platforms is not a new research topic. Nevertheless, investigating the antecedents that affect the continuance usage of these platforms beyond the COVID-19 pandemic is a relatively new research trend. Accordingly, the purpose of this study is to investigate the antecedent factors that directly influence electronic tax declaration platforms’ continuance usage in the post-pandemic era by integrating the Unified Theory of Acceptance and Use Technology Model with other related factors.

To achieve the main purpose of the study, an online questionnaire was used to gather data from 231 Jordanian taxpayers.

The findings revealed the positive and significant effects of performance expectancy, social influence, knowledge and trust in e-government services on continuance usage of electronic tax declaration platforms. Contrary to what is expected, effort expectancy is insignificant, and hence the related hypothesis (H2) was rejected.

The findings of current research provided theoretical and practical implications by using a well-established theoretical lens to investigate what factors affect the continuance usage of electronic tax declaration platforms within the context of a developing country, namely, Jordan.

The main purpose of the current study was to develop a new research model in the hope of providing a further understanding of Digital Taxation Information Systems (DTIS) usage and its impact on tax compliance by investigating the mediating role of trust in e-government services (TIE) and the moderating role of awareness (AW) toward these systems.

A quantitative research method approach with Partial Least Squares-Structural Equation Modelling (PLS-SEM) was employed to analyze the data collected.

The results indicated that DTIS usage is influenced by perceived usefulness (PU), perceived ease of use (PEU), attitude (ATT), knowledge (KN), subjective norm (SN), AW and TIE. Contrary to what is expected, AW does not moderate the association between SN and DTIS usage. Eventually, the results also revealed that TIE has mediated the association between trust in government (TIG) and DTIS usage.

This study provides thought-provoking empirical pieces of evidence about understanding the situation of DTIS usage and its impact on tax compliance among academic professors in Jordan. Furthermore, the study outcomes and discussion presented will help the Jordanian government improve and comprehensively formulate strategies to increase the tax compliance procedure.

This paper aims to explore the impact of metaverse technology on the hospitality and tourism industry. The introduction of metaverse technology has revolutionised the way the hospitality and tourism industry works. In the present study, the authors have investigated the role of social media marketing in the adoption of metaverse technology in hotel booking in India.

An extended technology acceptance model was proposed for an empirical investigation in the Indian context. Sample of 344 respondents was collected across India using a purposive sampling technique for the purpose of data analysis. The structural model analysis is used to analyse the data collected from the respondents using the SmartPLS software to check the structural and the measurement fit of the model.

The adoption intentions were largely influenced by the utility, attitude (ATT) and ease of use of the technology, and social media marketing plays a major role in influencing the perceived usefulness (PU) and ease of use (PEU). The study finds positive ATTs of the customers for using metaverse technology for booking their hotels. PU and PEU significantly influence the ATT of the consumer indicating the traveller’s perception of the usefulness and ease of metaverse technology influence their ATTs towards adoption.

Influence of metaverse technology is at a nascent stage in India specifically for hotel booking and tourism. The authors have used discriminant validity by using the criteria for both the square root of the average variance extracted and heterotrait–monotrait ratio tests, and the results suggest that the constructs in the research are distinct from other.