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This study aims to analyze the impact of digital transformation on firm performance within the banking sector, specifically focusing on the Amman Stock Exchange (ASE)-listed banks from 2015 to 2022. Additionally, it explores the influence of gender dynamics on the implementation and outcomes of these digital transformation initiatives.

The study adopts a robust empirical approach, using manual content analysis of annual reports from ASE-listed banks. The Digital Transformation Disclosure Index (DTDI) is used to assess the extent and nature of digital transformation initiatives within these banks. The methodology is designed to provide a comprehensive evaluation of the correlation between digital transformation efforts, firm performance and gender dynamics.

The research reveals that digital transformation initiatives have a significant positive impact on the performance of ASE-listed banks. It also uncovers nuanced insights into the role of gender dynamics, indicating that gender diversity within firms influences the adoption and success of digital transformation strategies in complex ways.

The findings of this study contribute to the understanding of digital transformation in the banking sector, offering empirical evidence on its benefits for firm performance. Additionally, the study illuminates the intricate role of gender dynamics in digital transformation, providing a new perspective on organizational diversity within the context of technological change.

This research pioneers in academically linking digital transformation and gender dynamics within the banking sector, addressing a notable gap and introducing a fresh academic perspective. Practically, it equips banking executives and policymakers with actionable insights for gender-inclusive digital strategies, crucial for enhanced firm performance. Methodologically, the study sets a benchmark in research innovation, using the DTDI to offer a replicable model for future investigations in this evolving field.

This paper aims to explore the intention to adopt the Metaverse in Islamic banks, with a particular focus on evaluating perceived usefulness, ease of use, user satisfaction and the influence of religiosity. Integrating the technology adoption model (TAM) and religiosity intention model, this study will dissect the multidimensional aspects influencing the acceptance of Metaverse technologies.

Surveying Islamic bank professionals in Jordan, this study used a structured questionnaire and data augmentation to analyze Metaverse adoption factors. Using partial least squares-structural equation modeling, the relationships between ease of use, usefulness, religiosity and satisfaction were explored.

The study identifies pivotal relationships among perceived usefulness, ease of use, user satisfaction and religiosity in the context of adopting metaverse technologies in Islamic banks in Jordan. Evidence highlights the dominant role of perceived usefulness and ease in influencing both intention to use and satisfaction levels. Religiosity, while not a direct influencer, plays a collaborative role, underscoring a balanced mix of technological and religious elements that will potentially shape the adoption trajectory of metaverse technologies within this specific banking sector.

Integrating metaverse technologies in Islamic banks necessitates balancing technological advances with Sharia compliance. The study underscores the importance of aligning user experience with religious values and fostering innovation within Islamic ethical guidelines.

This study uniquely integrates the TAM and religiosity-intention model to explore metaverse adoption in Islamic banks, unveiling a nuanced interplay between technology and religious values. It offers practical insights for tailoring innovations in the Islamic financial ecosystem.

This study aims to examine the association between forensic accounting services (FAS) and the risk of litigation within the context of industrial firms that are publicly traded on the Amman Stock Exchange by using the resource-based theory.

This study uses a data set consisting of 250 firm-year observations from 2017 to 2021, obtained from the annual reports of 50 selected firms. Logistic regression techniques are used to examine the specifics of the investigated relationship.

The findings strongly suggest that companies that use FAS are more likely to face increased litigation risks. This observation suggests that these firms are subject to a more thorough level of evaluation or scrutiny, which inherently increases their vulnerability to potential risks. The study incorporated several control variables such as firm age, size, profitability and working capital. However, it is noteworthy that the connection between FAS and litigation risk emerged as particularly prominent.

Findings highlight the need for practitioners to tread cautiously with FAS. Although they provide in-depth evaluations, they can also unveil vulnerabilities, leading to increased legal action. Companies should balance the depth of FAS scrutiny against potential legal repercussions, ensuring they harness its benefits without inadvertently raising legal risks.

While most studies have emphasized the impact of forensic accounting on fraud, this paper covers a gap in the literature regarding the impact of FAS on litigation risks. The paper also facilitates the understanding of the correlation between firm characteristics and the likelihood of litigation.

The purpose of this paper is to improve understanding of how different aspects of the national institutional environment may influence the extent of innovative entrepreneurial activities across countries. Several institutional and conductive factors affecting a country’s capacity to support innovative entrepreneurship are explored.

Institutional theory is used to examine the national regulatory, normative, cognitive and conducive aspects that measure a country’s ability to support innovative entrepreneurship. A cross-national institutional profile is constructed to validate an entrepreneurial innovation model. The impacts of country-level national institutions on innovative entrepreneurial activity as measured by Global Entrepreneurship Monitor data are assessed through structural equation modeling.

Knowledge about the influence of specific institutional aspects on innovative entrepreneurship, and hence of institutional structures within and across countries, is enhanced. For new innovative enterprises, conductive and regulatory aspects seem to matter most. All conductive factors have a significant and positive impact on entrepreneurial activity rates.

Results could support policy makers and practitioners in evaluating government policies’ effects on innovative entrepreneurship. Interventions should target both individual attributes and context. Future research could include longitudinal designs to measure the direction of causality.

Aspects such as regulatory institutions, and conductive factors such as information communication technology use and technology adoption, are important for innovation entrepreneurship development.

The literature on institutional theory and innovative entrepreneurship is highly limited. This study complements growing interest in empirical analysis of the effects of national institutions on innovative entrepreneurial activities and substantiates previous empirical work.

The purpose of this paper is to explore the results of implementing the Kaizen approach in a caravan repairing project near the Jordanian–Syrian border in the Zaatari camp.

The study is based on the exploratory qualitative research approach. The data were collected through interviews and on-site observation with employees who were involved with the caravan maintenance project and have adequate knowledge and information about this project. In this process, a fishbone diagram, a quality control tool, is used to recognize and explain a causal-effect relationship under the selected Kaizen theme.

The findings suggest that the Kaizen approach was economical in terms of both money and time. Also, waste elimination can be achieved through a variety of tools and easily combined with the Kaizen approach. Implementing the Kaizen approach is an effective and reliable system that allows for the tackling of all types of inefficiencies in the caravan repairing project.

The findings of this study will help policy makers and managers put together suitable and effective policies that will assist those firms in overcoming the demands of customers and competitors to deliver high quality, inexpensive products in less time through the application of the Kaizen approach. This, in turn, will lead to improved quality, efficiency and productivity in the most cost-effective way. However, these results should not be generalized since they are only confined to the context of caravan repairing project.

Very little research has been done that takes into account the contexts of developing countries. Additionally, most literature presents the use of Kaizen applications only in the manufacturing or production sectors. This study is the first to implement Kaizen as a continuous improvement technique in a caravan repairing project – a job shop industry different from the repetitive batch work environment that is usually associated with implementation of Kaizen. The current research should be of great interest to researchers, managers and professionals who wish to apply Kaizen approach as it is sustainable over time in similar projects.

This study offers an in-depth examination of Google Bard, an advanced artificial intelligence chatbot created by Google, focusing specifically on its potential impact on academic research. This discussion aims to comprehensively explore the features of Google Bard, highlighting its capabilities in data management, facilitating collaborative discussions, and enhancing accessibility to complex research. In addition to the aforementioned positive characteristics, we will also delve into the limitations and ethical considerations associated with this innovative device. The functionality of the system is constrained by the limitations imposed by its pre-established algorithms and training data. In addition, there are significant concerns regarding data privacy, potential biases in its responses stemming from its training data, and the wider societal implications associated with a heavy reliance on machine-generated content. Ensuring responsible and ethical utilization of Bard necessitates Google's provision of transparent communication regarding its development process. In light of the prominent functionalities demonstrated by Google Bard, it is imperative for researchers to engage in a rigorous examination of the information it presents, thereby safeguarding against the inadvertent propagation of misinformation or biased viewpoints. This will lay the groundwork for its effective integration into the academic research methodology.

This study investigated the impact of the virtualization requirements of the learning process on students' satisfaction and their intention to continue using online learning.

A research model was developed using the process virtualization theory (PVT); it was validated empirically using data obtained from an online questionnaire-based survey of 489 undergraduate students.

The main results support the role of representation for sensory requirements, sensory requirements, reach, representation for relationship requirements and relationship requirements on shaping students' satisfaction, which all also have a significant influence on students' intention to continue using online learning. Relevance factors are responsible for 61.6% of the variance in students' satisfaction and 83.6% of the variance in their intention to continue using online learning. However, neither the synchronism requirements nor the identification and control requirements had a significant effect on students' satisfaction or on their intention to continue using online learning.

The present research focused on PVT in an online learning context; consequently, a new set of factors that influenced students' satisfaction with and intentions to continue using online learning was empirically tested for the first time. This research contributes to the literature on information systems because it advances the generalizability and applicability of the PVT in a new context and new cultural setting. Moreover, the research apprises researchers and practitioners of new factors, which should be understood and fulfilled to make virtual learning equivalent to the face-to-face learning experience.

This paper aims to study the Zabdah housing project residents’ satisfaction on both dwelling and neighborhood levels. In addition, the determinants of residents’ satisfaction are studied.

A mixed methodology approach was used, merging quantitative and qualitative methods. The questionnaire was developed and filled out through structured interviews. Descriptive statistics and multiple linear regression were used to understand the residents’ satisfaction levels. In addition, the chi-square test of independence was used to determine whether demographics and dwelling type were related to residents’ satisfaction.

It was found that the residents’ satisfaction level with Zabdah housing was moderate on both dwelling and neighborhood levels. On the dwelling level, the tiny dwelling areas were a fundamental problem. On the neighborhood level, good neighborhood services were crucial to the success of this project, while the lack of green spaces negatively affected the quality of life of its residents. In addition, the number of family members and dwelling types were critical determinants of residents’ satisfaction.

The findings can be developed into guidelines to govern the creation of better affordable residential environments. Furthermore, the successful dwelling typologies in this project can be modified to be adopted in the future.

To the best of the authors’ knowledge, this is the first study of its kind to explore the relationship of demographics and dwelling type with residents’ satisfaction in affordable housing in Jordan.