Higher education institutions, like nearly all organizations, need to implement information management systems that enable them to handle routine operations easily and, at the same time, generate many types of standardized and ad hoc reports. Higher professional education (HPE) institutions face unique challenges when implementing their computer-based information management systems. Electronic records management systems (ERMSs) help manage the extensive information needed to plan and make well-informed decisions. ERMS is a fairly new addition to organizations, and those organizations are still learning how to use them effectively. Unfortunately, some organizations are still slow to adopt these systems. With this in mind, this paper proposes a framework that identifies the key factors that influence HPEs in adopting their own ERMS. The framework developed in this paper is based on two other models: the unified theory of acceptance and use of technology (UTAUT) and technology-organization-environment (TOE). The questionnaires we distributed to 364 respondents in the HPE sector to collect the views of as many stakeholders as possible. These survey responses led the study to propose a framework that identifies the critical factors that influence the adoption of ERMSs in HPEs. This framework is expected to guide HPE institutions in understanding the most essential factors (individual, technological, and environmental) that must be addressed to adopt an ERMS.INDEX TERMS Information management systems, electronic records management, computer-based information systems, records, higher education institutions, information and educational field.

Electronic records (e-records) are used to provide proof of organizational activities. E-records are crucial in complementing business functions, an essential tool to assess organizational performance and are the core of good governance. Erecords in Higher Professional Education (HPE) institutions contain valuable information in running the education business in an efficient and effective manner, supplying services consistently and in supporting effective performance evaluation and decisions. There are serious consequences and risk awaiting when the administrators of HPE are not based on information contained in erecords in making decisions. Well-informed decision makings would thus be impossible if electronic records are not efficiently and effectively managed the using system. Therefore, Electronic Records Management System (ERMS) is an effective and efficient tool to hinder such a problem. Voluminous electronic records are created every day in HPE. The record keepers inclusive of records managers, archivists, administrators and IT personnel, who are the people essentially involved in creating, maintaining and preserving the contents of the e-records. Thus, this personnel participating in the records keeping should identify the readiness of the HPE institutions to adopt ERMS. Therefore, the aim of this paper is to investigate the readiness of the Yemeni HPE institutions to adopt the ERMS. The study involves interviewing 20 specialists from Yemeni HPE institutions who are involved in ERMS. The findings showed that in order to promote effective ERMS readiness in the HPE institutions, there should be a framework to be used as guidance in such process.

An electronic records management system (ERMS) is tightly linked with most of the daily activities of educational organisations and leads to enhance their performance and decision-making. The aim of this article is to identify the significant factors that could influence the ERMS adoption in higher professional education (HPE). The methodology of this article started with identifying the factors through theory analysis and literature and also recommended by experts. Technology–organisation–environment (TOE) theory was used for factor classification. Qualitative approach was used through the interview with experts to validate and verify the proposed framework. This article presents the results of a study which identifies the issues involved in the utilisation and adoption of ERMS. More than 100 previous works and six well-known theories were critically reviewed to identify the main factors for successful ERMS adoption in different areas with the aim of proposing a taxonomic framework that can depict and identify the main factors that have an impact on the success of ERMS adoption. The proposed framework includes 11 factors categorised into three dimensions. The framework is validated and verified by experts. The adoption factors identified here provide a sound theoretical basis for research to understand, support and facilitate the adoption of ERMS to HPE benefit. The proposed framework could help to improve educational outcomes and the successful implementation of ERMS.

Purpose Identification of factors for electronic records management system (ERMS) adoption is important as it allows organizations to focus their efforts on these factors to ensure success. The purpose of this paper is to identify the factors that influence ERMS adoption in the Yemeni oil and gas (O&G) sector. Design/methodology/approach This paper conducts a systematic literature review (SLR) to extract the most common factors that could facilitate successful ERMS adoption. Information technology (IT) experts were asked to rank the extracted factors via an e-mail questionnaire and to recommend specific critical success factors that must be given extra attention to increasing the success of ERMS adoption. Essentially, the proposed methodology is technology-organization-environment (TOE) modeling to examine the important factors influencing decision-makers in the Yemeni O&G sector regarding ERMS adoption. Findings This paper identifies factors influencing ERMS adoption based on SLR and an expert-ranking survey. The data that were collected from IT experts were analyzed using the statistical package for the social sciences. The results showed that only 12 out of 20 factors were significant. The experts then added three new factors, resulting in 15 significant factors classified into the three dimensions as follows: technology, organization and environment. Originality/value Limited studies have been carried out in the context of the O&G sector, even among developed countries such as Canada, the UK and Australia. These studies have focused on a limited number of factors for ERMS adoption targeting better utilization of human resources, faster and more user-friendly system responses and suitability for organizational ease. This paper explores the factors that may prove useful in adopting of ERMS in the O&G sector of developing countries, similar to Yemen.

One of the needs in adopting a crowdsourcing approach in software requirement system (SRS) is to be able to perform text analytics to gain insight or knowledge from the crowd’s feedback. One of the expected text analytic tasks is to be able of analyzing the feedback automatically; such as, whether the feedback concerns about the functional requirement (FR) and non-functional requirements (NFR). To automatically do the FR and NFR identification, one can treat the problem as a text classification task. Performing automatic identification requires features (word representation) that contain sufficient information which can be used to do the identification. Thus, the types of features can be considered as an important step in performing automatic identification of FR and NFR. In this study, the RE’17 dataset challenge is used as the dataset. Using the dataset, we will like to find out the effect of word embedding against traditional features (such as bag-of-words) in NFR and FR classification. In addition, we also want to find out whether is necessary to use a complex neural classifier to obtain the best performance of NFR and FR classification. Based on the obtained results, using fastText seems to be the promising classification model since the model obtained the highest Fl-score of 92.8%.