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The purpose of this paper is to identify a framework to support adaptivity in e-learning environments. The framework reflects a novel hybrid approach incorporating the concept of the event-condition-action (ECA) model and intelligent agents. Moreover, a system prototype is developed reflecting the hybrid approach to supporting adaptivity in any given learning management system based on learners’ learning styles.

This paper offers a brief review of current frameworks and systems to support adaptivity in e-learning environments. A framework to support adaptivity is designed and discussed, reflecting the hybrid approach in detail. A system prototype is developed incorporating different adaptive features based on the Felder-Silverman learning styles model. Finally, the prototype is implemented in Moodle.

The system prototype supports real-time adaptivity in any given learning management system based on learners’ learning styles. It can deal with any type of content provided by course designers and instructors in the learning management system. Moreover, it can support adaptivity at both course and learner levels.

To the best of the authors’ knowledge, no previous work has been done incorporating the concept of the ECA model and intelligent agents as hybrid architecture to support adaptivity in e-learning environments. The system prototype has wider applicability and can be adapted to support different types of adaptivity.

Generally, the use of cloud-based services has proliferated all around the world. This tendency increased dramatically during the coronavirus disease 2019 (COVID-19) pandemic when many people were obliged to conduct business remotely. This research study aims to investigate the intentions to adopt (IA) cloud-based enterprise resource planning (ERP) systems in Jordan, as this sort of research is scarce in developing countries. Specifically, this research study combined the model of Diffusion of Innovation (DOI) and the Technology-Organization-Environment (TOE) framework, in addition to looking at COVID-19 as a moderating variable.

Data were collected from 60 participants working in Jordanian companies that currently use, or have the intention to use, cloud-based ERP systems. An online questionnaire was developed and used to collect responses. The study hypotheses were examined statistically using simple regression analysis and hierarchical multiple regression.

The study results clearly indicate that complexity, observability, employee information technology (IT) skills, organizational culture (OC) and top management support significantly affect the intention to adopt cloud-based ERP systems. In contrast, relative advantage (RA), compatibility, trialability, regulatory environment and competitive pressure had no significant effect on adoption intention. Interestingly, the advent of COVID-19 increased the intention to adopt cloud-based ERP systems.

The study's findings will provide theoretical and practical suggestions for the effective adoption of cloud ERP in Jordan, as well as aiding other developing nations in comparable situations in implementing cloud-based ERP systems.

The study enriches the knowledge and further examines the underlying reasons for adopting cloud-based ERP systems in a developing country.

The purpose of this paper is to study the effect of the height and diameter of the dies as well as work‐piece dimensions, on stresses and strains on dies in the forging process. This helps in developing a better understanding of the effect of process parameters. As a result, the manufacturing task could be accomplished with minimal number of trials.

After determining the most influencing parameters on the forging process, the mechanical part is drawn, size of initial billet and shape of punch and die are also determined to build a finite‐element model to represent the process. Several outputs are taken as an indication for die wear and process performance. Finally, a computer numerical control (CNC) code to manufacture the selected die is generated.

It was found that when the die diameter increases, the effective stress decreases. On other hand, it was found that the work required to finish the forging process is highly affected by the dimensions of work‐piece. Therefore, it is possible to save power if work‐piece dimensions are adjusted.

This paper was meant to be a universal step or guide in developing a computer aided design/computer aided manufacturing (CAD/CAM) system to design, simulate, and manufacture molds for the forging process using a statistical method.

The objective of this study is to examine the factors that contribute to workplace violence in one of the higher education institutes that is based in Malaysia.

The paper's approach is to use a survey, SPSS and multiple regression analysis.

The findings show that there is a positive significant relationship between the working environment and workplace violence, while the other factors, co‐worker relationship and management style, show no relationship with workplace violence.

The study will improve management understanding of which factors affect workplace violence. By increasing their knowledge on the above, this can assist the management to take preventive action to minimize workplace violence in the organization.

The problem of motif discovery has become a significant challenge in the era of big data where there are hundreds of genomes requiring annotations. The importance of motifs has led many researchers to develop different tools and algorithms for finding them. The purpose of this paper is to propose a new algorithm to increase the speed and accuracy of the motif discovering process, which is the main drawback of motif discovery algorithms.

All motifs are sorted in a tree-based indexing structure where each motif is created from a combination of nucleotides: ‘A’, ‘C’, ‘T’ and ‘G’. The full motif can be discovered by extending the search around 4-mer nucleotides in both directions, left and right. Resultant motifs would be identical or degenerated with various lengths.

The developed implementation discovers conserved string motifs in DNA without having prior information about the motifs. Even for a large data set that contains millions of nucleotides and thousands of very long sequences, the entire process is completed in a few seconds.

Experimental results demonstrate the efficiency of the proposed implementation; as for a real-sequence of 1,270,000 nucleotides spread into 2,000 samples, it takes 5.9 s to complete the overall discovering process when the code ran on an Intel Core i7-6700 @ 3.4 GHz machine and 26.7 s when running on an Intel Xeon x5670 @ 2.93 GHz machine. In addition, the authors have improved computational performance by parallelizing the implementation to run on multi-core machines using the OpenMP framework. The speedup achieved by parallelizing the implementation is scalable and proportional to the number of processors with a high efficiency that is close to 100%.

This paper aims to explore the lived experience of people with a chronic non-healing wound and to explore what it means to live with a chronic wound.

A descriptive phenomenological study design was adopted to explore the living experience of person with chronic wound. A sample of 15 individuals of both genders was selected using a purposive sampling technique. To collect data, in-depth interviews were conducted, and all the interviews were audio-taped and transcribed verbatim. Data were analysed using the seven-step process described by Colaizzi (1978).

The findings were organized into 6 themes clusters and 12 themes. The six themes clusters were limiting mobility; receiving care; explaining causes of wounds; contending with chronic illnesses; adapting and mal-adapting; and economic burden of the wound.

Chronic wound had a profound impact on participants’ lives by affecting their activities of daily living, their mobility, their income and their personal relationships.

Understanding the lived experiences of people with chronic wounds is crucial for health-care providers, including nurses. Investigating the chronic wound experience has become even more pressing given the projected increase in the number of elderly individuals and those with chronic illnesses such as diabetes mellitus. In Jordan, for example, the prevalence of diabetes mellitus is 17.1%, and it is projected to increase by 2050.

The purpose of this study is to provide a scale development process, in order to preliminarily address the reliability and validity of CEO transformational leadership, some key organizational factors, and product innovation performance constructs. Data for this study were collected from 264 manufacturing firms in Thailand. The measurement scales were pre-assessed using the Q-sort method, and exploratory factor analysis (EFA) was also conducted to assess the construct reliability and validity. This research established a theoretical framework of CEO transformational leadership, organizational factors including innovation strategy, organizational learning, innovation culture, new product development process, and product innovation performance. Q-sort technique and EFA can help improve the content validity and the construct validity of CEO transformational leadership, some key organizational factors, and product innovation performance. This study provided the initial developmental steps toward the building of a theoretical framework and scale measurement to allow better understanding of the constructs based on the context of firms in Thailand. This will allow researchers to bring new insights when exploring these constructs under differing operational conditions. The findings address additional steps required towards improved methodological aspects in terms of how to pre-validate and develop a measurement scale in various constructs within alternative domains.

The study critically evaluates the theory of International Financial Reporting Standards (IFRS) implementation in an attempt to provide directions for future research. Using the extensive structured review of literature using the Scopus database tool, the study reviewed 79 articles, and in particular the topic-related 57 articles were analysed. Nine journals contribute to 51% of articles (29 of 57 articles). In particular, the three journals published 15 articles: Critical Perspectives on Accounting (7), Accounting, Organizations and Society (4), and Journal of Applied Accounting Research (4). In total, 83% (47 of 57) of the articles were published 2009–2018. A total of 1,168 citations were found from 45 articles since 12 articles were without citations. The highest cited authors were Ball (2006) – 410 citations, Kothari, Ramanna, and Skinner (2010) – 135 citations, and Napier (1989) – 85 citations. In particular, five theories have been used widely: institutional theory (13), accounting theory (6), agency theory (3), positive accounting theory (3), and process theory (2). Future studies’ focus could be on theory implications in IFRS adoption/implementation studies in a country or a group of countries’ experience. Future studies could also focus on various theories rather depending on a single theory (i.e. institutional theory).

The current explanations in the cyber incivility and knowledge hoarding literature suffer from two problems. The first is a lack of cogent explanation of cyber incivility and knowledge hoarding from social exchange theory (SET) perspective. The second is the unexplained attenuating propensity of justice on the connection between cyber incivility and knowledge hoarding, more specifically, interactional justice.

This paper uses a simple random sampling method to obtain cross-sectional data from 223 employees working in IT and telecommunication service companies in Jordan. The obtained data were analyzed using partial least squares structural equation modeling (PLS-SEM) technique also known as variance-based structural equation modeling.

By applying SET theoretical lens and PLS-SEM, the authors show that cyber incivility exerts strong impact on knowledge hoarding, and interactional justice may not always function as a buffer. That is, the association between cyber incivility and knowledge hoarding is not impacted by interactional justice levels.

The contribution of this paper builds on the lack of practical comprehension on the association between cyber incivility and knowledge hoarding and the role played by interactional justice. Implications for theory and practice are discussed.

The purpose of this paper is to identify and assess the significance of various factors affecting maintenance costs of public school facilities.

Detailed literature review resulted in identifying 54 factors that were categorized under nine groups. This was followed by a questionnaire survey completed by 60 experienced professionals. The relative importance index was used to determine the in-group ranking, as well as the overall ranking of these factors.

The study established that the five most significant factors affecting the maintenance cost of public school facilities were “not providing operations and maintenance manuals to maintenance group” in the “construction phase” category, “ignoring maintainability studies in design” in the “design phase” category, “specification of low-quality materials” in the “design phase” category, “selection criteria of contractors” in the “regulations and contracting” category, and “lack of quality control during work execution” in the “construction phase” category.

The present research represents the first research covering the maintenance cost of public school facilities in Saudi Arabia. The study also presents the unique landscape of facility maintenance in the Saudi Arabian context. The outcome of this research has the potential to significantly cut down unnecessary costs rooted in expensive maintenance of public school facilities, enhancing the quality of these facilities. The findings also underscore the necessity of collaboration and coordination of the various key disciplines toward the realization of cost-effective school facilities.