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The main purpose of this study is to examine the role of Association to Advance Collegiate Schools of Business (AACSB) accreditation in business education students' leadership motivation and citizenship motivation.

This study followed a quantitative approach: a conceptual model was developed based on an extensive review of the related literature; a questionnaire-based survey was conducted through an online link sent to faculty members and heads of business schools across Jordan which has AACSB accreditation. In total, 307 questionnaire surveys were completed and used in the statistical analysis. The two-stage approach of structural equation modeling (SEM) was employed to analyze and interpret the data and used to validate the conceptual model of this research.

The findings through SEM indicate all five latent constructs of organizational effectiveness have a significant and positive impact on business student citizenship motivation (SCM), whereas for the student leadership motivation (SLM), only student career development (SCD) has an insignificant impact.

Some limitations are associated with the quantitative methods of data analysis, missing demographic details of some respondents, and non-observation of response bias. The study model only includes five latent constructs of organizational effectiveness, which are appropriate to the study population and environment.

This research offers a substantial contribution to the unexplored area of the organizational effectiveness of accreditation and its impact on the student leadership and citizenship, specifically in the context of Jordan. Moreover, as there are few AACSB studies in the Middle East, this research goes some way to address this shortage.

The built environment is a complex sector that demands coordination and cooperation of stakeholders. Construction projects from the complex sector require skills, services, and integration of major disciplines in the built environment. Sustainability of the major disciplines' standards regarding the appropriateness of the built environment tertiary education cannot be over-emphasised in Nigeria. Studies concerning Nigeria's built environment programmes accreditation (BEPA) in the 21st-century education system are scarce. Thus, the study investigated the relevance and perceived factors hindering Nigeria's BEPA in the 21st-century education system. Also, the study proffered measures to improve Nigerian built environment tertiary education accreditation ranking.

Data were sourced from elite virtual interviews across Nigeria. The interviewees were knowledgeable about Nigeria's built environment programmes accreditation, and many of them have been directly or indirectly involved. The investigators utilised a thematic analysis for the collated data and enhanced it with secondary sources.

The study revealed that several Nigerian academia in the built environment lack fame in research, publication, and citations due to barriers in their workplace. It has hindered their global institution's accreditation and ranking standards. Findings identified inadequate basic infrastructure, obsolete curricula, lack of research novelty, lack of higher education institutions funding, inadequate staffing and lax upskilling and reskilling, and unethical practices “systematic corruption” as major factors hindering BEPA. Also, findings proffered measures to improve Nigeria's BEPA global ranking.

The study is limited to the perceived barriers and measures to improve BEPA in the 21st-century in Nigeria via semi-structured virtual interviews. Future study is needed to validate the findings as highlighted in the thematic network.

The paper confirms that the BEPA requires innovative and multidisciplinary measures to improve the global ranking of these programmes and, by extension, the higher education institutions ranking globally. The paper would stir major stakeholders and advance the built environment programmes quality accreditation regarding international best practices and maintain the minimum standards.

The paper comprehensively analyses the perceived factors and proffered measures to improve Nigeria's BEPA in the 21st-century via a thematic network. The outcome intends to improve the global ranking and stir stakeholders to reposition and showcase Nigeria's built environment programmes to the world.

This study explores the potential of computational design processes in creating contextually responsive envelopes for high-rise residential buildings in the Middle East. This includes considering both physical constraints and social preferences, with a focus on balancing sunlight exposure, privacy and views.

A two-phase simulation study analyzed various exterior envelope systems in Baghdad high-rise buildings. The first phase examined two commonly used exterior envelopes – fully glazed and window-based – to assess sunlight exposure, privacy and views. In the second phase, a multi-objective optimization process was applied to derive contextually optimized design solutions addressing the challenges identified in the first phase.

The study reveals that contextually optimized design solutions significantly improved direct sunlight exposure and privacy while maintaining satisfactory views. Although fully glazed exterior envelopes provided better-uninterrupted views, the optimized solutions offered more balanced performance across all factors, demonstrating the potential of computational design processes in creating contextually responsive building envelopes.

This paper emphasizes the importance of considering both physical and social contexts in the development of algorithms for architecture in the Middle East. This paper supports a progressive interpretation of traditional building references and demonstrates how computational design processes can create contextually responsive building envelopes that satisfy social needs and provide better-performing buildings for inhabitants.

This study aims to examine the learning experiences of indigenous West Papuan students studying accounting in Indonesia during the COVID-19 pandemic.

A qualitative approach was taken with 25 indigenous accounting students at five universities in the region who shared testimonies of their online learning experiences. The interview data collected were analysed using initial and selective coding and then interpreted under several themes.

The paper shows the personal, faculty and external challenges in indigenous students’ learning activities during university closures because of COVID-19. The interrelated challenges included students’ struggles to adapt their learning habits when using various online applications, difficulties in understanding how the faculty managed lectures, tutorials and evaluations without adequate access to learning materials, the lack of a learning infrastructure, issues with equipment, and obtaining internet data credits. Students’ economic struggles and health issues exacerbated these challenges. While enduring various struggles and being frustrated about their future, all students expected a change in offline learning policies by the government to lessen their strict physical distancing.

The findings can inform the importance of integrating accounting students’ learning challenges and needs into curriculum development.

This study highlights the learning challenges of indigenous accounting students during the COVID-19 pandemic and how approaches to online learning need to consider the experience of these students.

This study aims to evaluate performance and map the science of research on International Organization for Standardization (ISO) 31000 standard through published articles. Specifically, this study determines the current state of the art, identifies research gaps and guides future studies related to ISO 31000.

This work investigates and examines the research papers acquired from the Scopus and Web of Science databases. Inclusion and exclusion criteria were applied to obtain relevant papers. Bibliometric analysis using Biblioshiny was conducted to answer the research objectives.

The results show growing interest in ISO 31000 research but limited interconnectivity among articles. Influential journals have emerged, highlighting key research trends in risk management's (RM) practical application and its significance in organizational decision-making. Key research areas include risk assessment (RA) methods, enterprise RM and system integration, endorsing ISO 31000 as a valuable tool. Future research should prioritize longitudinal studies to track ISO 31000's impact, study effective risk communication strategies, explore sector-specific RM practices and assess ISO 31000's application in emerging technologies.

This research reveals key themes and diverse methods that aid practitioners in customizing industry risk strategies, adapting to emerging trends, engaging global collaboration and improving risk communication. Nevertheless, the study might overlook non-English contributions, urging broader language inclusion for ISO 31000's profundity.

This paper's originality lies in its comprehensive bibliometric analysis of ISO 31000 research, providing valuable insights into the standard's growing significance and global impact. The study identifies key research themes and influential authors, guiding future research and improving RM practices.

The purpose of this paper is to examine the impact hosting the Super Bowl has on audit completion and financial reporting timeliness for companies headquartered in Super Bowl hosting cities.

Using 16 years of financial reporting data, this study uses the Super Bowl and related activities, combined with required filings during “busy season,” as a natural experiment to examine how audit firms navigate short-term, exogenously imposed but anticipated, audit team capacity constraints.

Companies headquartered in a city hosting the Super Bowl, during busy season, have longer audit report lags (by approximately three days, in comparison to non-hosting busy season audits) and less timely securities and exchange commission (SEC) (10-K) filings. The authors find no evidence that Super Bowl hosting affects audit fees or earnings announcement timeliness.

When confronted with anticipated capacity shocks, audit firms take longer to complete the audit, absorbing the financial costs of the delay and maintaining audit quality, resulting in less timely financial reporting.

This study demonstrates the costs of Super Bowl-related inefficiencies and contributes to our understanding of how auditors navigate capacity shocks. This study provides evidence that auditors can effectively manage business risk and continue to facilitate providing timely and accurate information to financial statement users in the face of a capacity shock.

This study analyzed the interdisciplinary characteristics of Chinese research studies in library and information science (LIS) measured by knowledge elements extracted through the Lexicon-LSTM model.

Eight research themes were selected for experiment, with a large-scale (N = 11,625) dataset of research papers from the China National Knowledge Infrastructure (CNKI) database constructed. And it is complemented with multiple corpora. Knowledge elements were extracted through a Lexicon-LSTM model. A subject knowledge graph is constructed to support the searching and classification of knowledge elements. An interdisciplinary-weighted average citation index space was constructed for measuring the interdisciplinary characteristics and contributions based on knowledge elements.

The empirical research shows that the Lexicon-LSTM model has superiority in the accuracy of extracting knowledge elements. In the field of LIS, the interdisciplinary diversity indicator showed an upward trend from 2011 to 2021, while the disciplinary balance and difference indicators showed a downward trend. The knowledge elements of theory and methodology could be used to detect and measure the interdisciplinary characteristics and contributions.

The extraction of knowledge elements facilitates the discovery of semantic information embedded in academic papers. The knowledge elements were proved feasible for measuring the interdisciplinary characteristics and exploring the changes in the time sequence, which helps for overview the state of the arts and future development trend of the interdisciplinary of research theme in LIS.

This paper investigated whether a bank’s popularity and depositors' fear of Google search volume could affect bank deposits and credit.

The authors used two different quarterly data from Google Trends and banking data from 2012 Q1 to 2020 Q1. Based on available data, Google Trends data start from 2012. The authors exclude data after 2020 Q1 because the Covid-19 pandemic arguably increased the volume of Internet users due to shifting behavior to online activities. They merged and cleaned the data by winsorizing at 5 and 95 percentiles to avoid any outlier problems, reaching 74 banks in the sample. They used panel data estimation of quarterly data following Levy-Yeyati et al. (2010) and Trinugroho et al. (2020).

The results show that a higher search volume of a bank’s name leads to higher deposits. A higher search volume of depositor fear reduces deposits and credit. The authors also found that banks with high risk and a high search volume of their name have a significantly lower volume of deposits.

To the best of the authors’ knowledge, not many papers in banking and finance have used Google Trends data to gauge related issues regarding depositors' behavior. The authors have filled a gap in the literature by investigating whether the popularity of Google search and depositors' fear could impact deposits and credit. This study also attempted to establish whether Google Trends data could be a reliable source of information to predict depositors' behavior by using a Zscore to measure bank risk.

As the number of devices that connect to the Internet of Things (IoT) has grown, privacy and security issues have come up. Because IoT devices collect so much sensitive information, like user names, locations, phone numbers and even how they usually use energy, it is very important to protect users' privacy and security. IoT technology will be hard to use on the client side because IoT-enabled devices do not have clear privacy and security controls.

IoT technology would be harder to use on the client side if the IoT did not offer enough well-defined ways to protect users’ privacy and security. The goal of this research is to protect people's privacy in the IoT by using the oppositional artificial flora optimization (EGPKC-OAFA) algorithm to generate the best keys for the ElGamal public key cryptosystem (EGPKC). The EGPKC-OAFA approach puts the most weight on the IEEE 802.15.4 standard for MAC, which is the most important part of the standard. The security field is part of the MAC header of this standard. In addition, the MAC header includes EGPKC, which makes it possible to make authentication keys as quickly as possible.

With the proliferation of IoT devices, privacy and security have become major concerns in the academic world. Security and privacy are of the utmost importance due to the large amount of personally identifiable information acquired by IoT devices, such as name, location, phone numbers and energy use. Client-side deployment of IoT technologies will be hampered by the absence of well-defined privacy and security solutions afforded by the IoT. The purpose of this research is to present the EGPKC with optimum key generation using the EGPKC-OAFA algorithm for the purpose of protecting individual privacy within the context of the IoT. The EGPKC-OAFA approach is concerned with the MAC standard defined by the IEEE 802.15.4 standard, which includes the security field in its MAC header. Also, the MAC header incorporates EGPKC, which enables the fastest possible authentication key generation. In addition, the best methodology award goes to the OAFA strategy, which successfully implements the optimum EGPKC selection strategy by combining opposition-based (OBL) and standard AFA ideas. The EGPKC-OAFA method has been proved to effectively analyze performance in a number of simulations, with the results of various functions being identified.

In light of the growing prevalence of the IoT, an increasing number of people are becoming anxious about the protection and confidentiality of the personal data that they save online. This is especially true in light of the fact that more and more things are becoming connected to the internet. The IoT is capable of gathering personally identifiable information such as names, addresses and phone numbers, as well as the quantity of energy that is used. It will be challenging for customers to adopt IoT technology because of worries about the security and privacy of the data generated by users. In this work, the EGPKC is paired with adversarial artificial flora, which leads in an increase to the privacy security provided by EGPKC for the IoT (EGPKC-OAFA). The MAC security field that is part of the IEEE 802.15.4 standard is one of the areas that the EGPKC-OAFA protocol places a high focus on. The Authentication Key Generation Protocol Key Agreement, also known as EGPKCA, is used in MAC headers. The abbreviation for this protocol is EGPKCA. The OAFA technique, also known as the combination of OBL and AFA, is the most successful method for selecting EGPKCs. This method is recognized by its acronym, OAFA. It has been shown via a variety of simulations that the EGPKC-OAFA technique is a very useful instrument for carrying out performance analysis.

Social media platform, like Twitter, has increasingly become the mode of reporting civic issues owing to their vast and fast reachability. A tremendous amount of information on urban issues is shared every moment out of which some tweets may need immediate attention to save lives or avoid future disasters. Existing approaches are only limited to the identification of complaint tweets; however, its prioritization based on urgency is still unexplored. This study aims to decide the ranking of complaints based on its criticality derived using multiple parameters, like type of complaint, season, day or night, gender, holiday or working day, etc.

The approach proposes an ensemble of multi-class classification (MCC) and “two-level” multi-criteria decision-making (MCDM) algorithms, like AHP and TOPSIS, to evaluate the accurate ranking score of the tweet based on the severity of the issue. Initially, the MCC is applied to tweets to categorize the tweets into three categories, i.e. moderate, urgent and immediate. Further, the first level of MCDM algorithm decides the ranking within each complaint type, and the second level evaluates the ranking across all types. Integration of MCC and MCDM methods further helps to increase the accuracy of the result.

The paper discusses various parameters and investigates how their combination plays a significant role in deciding the priority of complaints. It successfully demonstrates that MCDM techniques are helpful in generating the ranking score of tweets based on various criteria.

This paper fulfills an identified need to prioritize the complaint tweet which helps the local government to take time-bound actions and save a life.