Mahmoud Rammal, Zeinab Bahsoun and Mona Al Achkar Jabbour
– The purpose of this paper is to apply local grammar (LG) to develop an indexing system which automatically extracts keywords from titles of Lebanese official journals.
Abstract
Purpose
The purpose of this paper is to apply local grammar (LG) to develop an indexing system which automatically extracts keywords from titles of Lebanese official journals.
Design/methodology/approach
To build LG for our system, the first word that plays the determinant role in understanding the meaning of a title is analyzed and grouped as the initial state. These steps are repeated recursively for the whole words. As a new title is introduced, the first word determines which LG should be applied to suggest or generate further potential keywords based on a set of features calculated for each node of a title.
Findings
The overall performance of our system is 67 per cent, which means that 67 per cent of the keywords extracted manually have been extracted by our system. This empirical result shows the validity of this study’s approach after taking into consideration the below-mentioned limitations.
Research limitations/implications
The system has two limitations. First, it is applied to a sample of 5,747 titles and it can be developed to generate all finite state automata for all titles. The other limitation is that named entities are not processed due to their varieties that require specific ontology.
Originality/value
Almost all keyword extraction systems apply statistical, linguistic or hybrid approaches to extract keywords from texts. This paper contributes to the development of an automatic indexing system to replace the expensive human indexing by taking advantages of LG, which is mainly applied to extract time, date and proper names from texts.
Details
Keywords
Majed Sanan, Mahmoud Rammal and Khaldoun Zreik
Recently, classification of Arabic documents is a real problem for juridical centers. In this case, some of the Lebanese official journal documents are classified, and the center…
Abstract
Purpose
Recently, classification of Arabic documents is a real problem for juridical centers. In this case, some of the Lebanese official journal documents are classified, and the center has to classify new documents based on these documents. This paper aims to study and explain the useful application of supervised learning method on Arabic texts using N‐gram as an indexing method (n = 3).
Design/methodology/approach
The Lebanese official journal documents are categorized into several classes. Supposing that we know the class(es) of some documents (called learning texts), this can help to determine the candidate words of each class by segmenting the documents.
Findings
Results showed that N‐gram text classification using the cosine coefficient measure outperforms classification using Dice's measure and TF*ICF weight. Then it is the best between the three measures but it still insufficient. N‐gram method is good, but still insufficient for the classification of Arabic documents, and then it is necessary to look at the future of a new approach like distributional or symbolic approach in order to increase the effectiveness.
Originality/value
The results could be used to improve Arabic document classification (using software also). This work has evaluated a number of similarity measures for the classification of Arabic documents, using the Lebanese parliament documents and especially the Lebanese official journal documents Arabic corpus as the test bed.
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Keywords
Mahmoud Ahmad Mahmoud, Umar Habibu Umar, Muhammad Rabiu Danlami and Muhammad Bilyaminu Ado
Funding difficulties are particularly compounded for Muslim entrepreneurs in Nigeria, owing to the dominance of interest-based financial institutions prohibited in Islam. Thus…
Abstract
Purpose
Funding difficulties are particularly compounded for Muslim entrepreneurs in Nigeria, owing to the dominance of interest-based financial institutions prohibited in Islam. Thus, this study aims to explore the role of awareness of Islamic finance principles in ameliorating financial deprivation and financial anxiety to increase access to Islamic financing among Muslim entrepreneurs.
Design/methodology/approach
A quantitative survey method of data collection was used to collect data from a total of 208 micro, small and medium enterprises (MSME) owners based on hand-delivered questionnaires. The data was analyzed using a partial least square structural equation model.
Findings
The result supports the direct negative impact of relative financial deprivation and the positive impact of awareness of Islamic finance principles on access to Islamic finance. However, awareness of Islamic finance principles could not moderate any of the direct relationship.
Practical implications
This study implies that financial deprivation is detrimental to access to Islamic finance, but financial anxiety has no significant impact. In addition, policymakers and MSME owners could directly foster access to Islamic finance through awareness of Islamic finance principles, though it could not redirect the negative impact of relative financial deprivation on access to Islamic finance.
Originality/value
The valuable finding here is that the substantial positive impact of awareness of Islamic finance principles on access to Islamic finance is not enough to redirect the negative effect of relative financial deprivation on access to Islamic finance.
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Keywords
Tahira Javed, Ali B. Mahmoud, Jun Yang and Xu Zhao
This study aims to investigate the ecological awareness of Chinese consumers towards fast fashion and examine the effect of social sustainability claims on green brand image and…
Abstract
Purpose
This study aims to investigate the ecological awareness of Chinese consumers towards fast fashion and examine the effect of social sustainability claims on green brand image and purchase intentions in China, considering China’s unique environmental policy landscape and its significant role in the global fast fashion industry. The study explores the role of altruistic values in promoting sustainability within the well-known fast fashion brand “H” and how they shape brand image, consumer satisfaction and brand equity.
Design/methodology/approach
The study collected data from 257 Chinese participants and used a serial mediation model through the PROCESS macro in SPSS to analyse the correlation between green brand image, created through sustainability claims and consumer purchase intentions. The model also assessed the intermediary effects of brand image, satisfaction and equity.
Findings
The findings of the research indicate a direct and positive relationship between green brand image and consumer purchase intentions, emphasising the need for clothing and textile industry marketers to strategically promote altruistic values in their sustainability efforts and highlighting the importance of ecological awareness in shaping consumer behaviour in the Chinese context. This approach enhances green satisfaction and green brand equity and ultimately leads to higher green purchase intentions.
Originality/value
This study provides significant insights into the effectiveness of incorporating social sustainability claims in advertising to improve a brand’s green image and influence consumer behaviour. It emphasises the importance of altruistic values in sustainability strategies, offering valuable guidelines for marketers in enhancing green satisfaction and brand equity, thereby boosting consumer purchase intentions in the context of green branding and sustainability advertising. Focussing specifically on the Chinese market, this research sheds light on the impact of ecological awareness among Chinese consumers within the fast-fashion industry. Given China’s substantial role in shaping global fast-fashion production and its evolving environmental policies, this focus adds significant depth to our understanding of sustainability claims’ influence within this crucial consumer base.
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Keywords
Goknur Arzu Akyuz and Dursun Balkan
Smart technologies in today's Internet of Things (IoT) era cover a wide spectrum, including smart identification technologies, robotics, virtual reality (VR), augmented reality…
Abstract
Smart technologies in today's Internet of Things (IoT) era cover a wide spectrum, including smart identification technologies, robotics, virtual reality (VR), augmented reality (AR), wearable technologies, cloud, artificial intelligence (AI), machine learning (ML), and blockchain. This study aims at revealing the role and importance of smart technologies in service systems which encompass a wide spectrum of sectors. The scope of this study covers the main applications in transportation and logistics, retail, health care, hospitality, and financial services sectors. A broad overview is provided for the potentials and benefits of smart technology utilization in these service areas, and future research agenda is suggested. Findings reveal that simultaneous use of smart technologies bring tremendous opportunities in terms of efficiencies and automation, reshaping and transforming operations and business processes of the service enterprises. The study highlights that although core proven applications of smart technologies are in manufacturing, generally lagging service sector applications promise radical productivity improvements, performance enhancements, and increased service quality. By radically upgrading the customer satisfaction to entirely new levels and providing unique customer experiences, smart technologies lead to bottom line profitability improvements as well competitiveness.
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Keywords
Sulaiman Lujja, Mustafa Omar Mohammed and Rusni Hassan
Islamic banking (IB) has been globally embraced by over 76 countries, with over $2tn in assets. Despite this remarkable progress, there are countries that are yet to fully embrace…
Abstract
Purpose
Islamic banking (IB) has been globally embraced by over 76 countries, with over $2tn in assets. Despite this remarkable progress, there are countries that are yet to fully embrace IB (Uganda inclusive). All the ongoing initiatives in Uganda (at policy level) to establish IB require supporting study of public awareness and attitudes toward IB. This will stimulate a down-top approach to the feasibility of IB and policymaking, thus providing a fertile ground for wider consideration of the majority stakeholders’ views in formulating standards and policy guidelines regulating IB. This study aims to explore the perception of Ugandans towards IB.
Design/methodology/approach
The study is exploratory in nature and uses a quantitative method. Out of the 400 questionnaires distributed, only 354 were usable for further analysis. SPSS 21 was used to analyze data using descriptive statistics and factor analysis.
Findings
Major findings indicate that unlike non-Muslims, Muslims are more knowledgeable about the IB culture, although both groups have low awareness about IB terminologies. There were inconsistences in Muslim and non-Muslim attitudes toward IB, for instance; while non-Muslims are motivated by “profitability”, Muslims’ inclination to IB is mainly due to “religious and profitability combined”. Both groups demonstrated some uniformity in their selection criteria of banks such as “third party influence”, although they are inconsistent in other factors.
Originality/value
The novelty of this study rests in its down-top approach to feasibility of IB by gauging the perception of majority stakeholders before IB is established. The study is conducted in a heterogeneous society unlike many of similar studies that have focused on Muslim majority countries. As most studies (with similar background) are at least 18 years old, this study remains outstanding in gauging the dynamics of stakeholders in Muslim minority countries which have yet established IB.
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Keywords
Jagroop Singh, Sahar Gaffar Elhag Ahmed Mohamed, Vinaytosh Mishra and Sudhir Rana
Nurse turnover in critical care units (CCU) significantly affects patient outcomes and health systems worldwide. To safeguard patient care quality, hospitals must address the…
Abstract
Purpose
Nurse turnover in critical care units (CCU) significantly affects patient outcomes and health systems worldwide. To safeguard patient care quality, hospitals must address the underlying reasons for turnover and strategize to retain their skilled nursing workforce. The study proposes a prescriptive framework to reduce nurse turnover in CCUs.
Design/methodology/approach
In this study, the integrated methodology of Delphi-AHP-Entropy was used for the comparative prioritization of factors and subfactors that influence nursing staff turnover in CCUs.
Findings
Study findings reveal that “Organizational factors” and “Individual factors” dictate critical care nurse attrition rate. At the subfactor level, staffing policy, chronic fatigue, and perceived career are the leading concerns for the decision of nurses whether to work or leave.
Research limitations/implications
This study is valuable for both researchers and healthcare professionals. It examines whether actions related to nurse retention align with existing theory and identifies areas requiring further theoretical or applied studies to enhance understanding in this area. This insight can bolster the field’s knowledge base and integrate theoretical and applied knowledge effectively. Additionally, for healthcare professionals, the study provides an overview of key factors conducive to retaining nursing staff in the CCU, offering valuable guidance for implementing effective strategies.
Originality/value
This study uniquely positions itself by presenting a comprehensive and prescriptive framework for critical care nurse retention in the UAE.