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To avoid the high cost of poor quality (COPQ), there is a constant need for minimizing the formation of defects during manufacturing through defect detection and process parameters optimization. This research aims to develop, design and test a smart system that detects defects, categorizes them and uses this knowledge to enhance the quality of subsequent parts.

The proposed system integrates data collected from the deep learning module with the machine learning module to develop and improve two regression models. One determines if set process parameters would yield a defective product while the second model optimizes them. The deep learning model utilizes final product images to categorize the part as defective or not and determines the type of defect based on image analysis. The developed framework of the system was applied to the forging process to determine its feasibility during actual manufacturing.

Results reveal that implementation of such a smart process would lead to significant contributions in enhancing manufacturing processes through higher production rates of acceptable products and lower scrap rates or rework. The role of machine learning is evident due to numerous benefits which include improving the accuracy of the regression model prediction. This artificial intelligent system enhances itself by learning which process parameters could lead to a defective product and uses this knowledge to adjust the process parameters accordingly overriding any manual setting.

The proposed system was applied only to the forging process but could be extended to other manufacturing processes.

This paper studies how an artificial intelligent (AI) system can be developed and used to enhance the yield of good products.

The purpose of this paper is to contribute to an understanding of the role of social media in negotiating and managing identity for transient migrants relating to the home and host culture during the acculturation process.

Focussing on international students in the UK, this paper reports on findings from a qualitative study involving interviews with 27 transient migrants about their social media use and the negotiation of their identity online.

This paper highlights the multifaceted role that social media plays in the identity negotiations of transient migrants and it offers three theoretical contributions. First, the authors show that social media serves as a medium, consequence and determinant of identity. Second, provide four strategies for identity management are provided: boundary management, access management, online content management and offline content management. Third, contextualised support is provided for a reciprocal relationship between the different identity-related roles played by social media.

The paper highlights the complex role of social media for identity within the acculturation process for transient migrants. Identity contestation may be salient for young student migrants, especially where there is a large cultural distance between the home and host culture. Identity negotiations and struggles may not be salient with older migrants or migrants who have migrated for different reasons or where there is a small cultural distance between the home and host culture.

This paper offers recommendations for social media site designers for enhancing the users experience during acculturation by guiding the navigation with identity management strategies as well as to highlight the possible predicaments of not managing their identity online.

Based on qualitative research with transient migrants using social media during acculturation, the paper provides a theoretical model of the role and reciprocal relationship of social media for identity, serving the role as a medium, consequence and determinant. The paper incorporates four identity management strategies that migrants can use on social media.

A nationwide common malpractice in Zakat distribution has been prevailing in Bangladesh for the past few decades. The paper is a groundbreaking effort to investigate the perceptions of the Zakat payers about the common malpractices and to highlight whether any change in the conventional distribution of Zakat has occurred during the Covid-19 pandemic. The study also aims to extract the common perception of the Zakat payers regarding the validity of the changed practices during the pandemic.

The study adopts the qualitative research approach allowing an in-depth interview technique based on an unstructured questionnaire schedule to obtain information from the Zakat payers, complemented by the key informant interview with the Islamic Scholars. The study obtained data from Zakat payers administering a purposive sampling technique based on two specified criteria. After coding the information on three main themes, content analysis is used to examine the results.

The results reveal that although the Zakat payers dislike the common practices because of some antithetical issues, they still practice the same customs. Moreover, they apportion most of the value of Zakat in purchasing low-quality festive-motive clothes for the recipients. They are ignorant about Islamic law and the validity of such practices. According to scholars, these activities are not a pure system of Zakat provision and unable to alleviate poverty. Amid the Covid-19 pandemic, this practice shifted heavily to buying food items for the poor due to the financial hurdles they confronted during the pandemic. Although no solid argument is deduced from the participants about the exactitude of such distributional change, scholars regard the transformation as beneficial to the afflicted and the impoverished who have been hit by the pandemic, as well as not conflicting with the Zakat legislation.

The study is a novel contribution to addressing the malpractice in Zakat distribution through receiving practical information from the Zakat payers, which will help produce more in-depth research in Islamic finance. Furthermore, this research will help the government and people raise awareness about the authentic practices of Zakat distribution according to the codes of Shari’ah.

This study is a pioneering investigation since a scarcity of scholarly works attempted to identify the impact of Covid-19 on the practice of Zakat distribution and the associated perception regarding its Islamic jurisprudence. To the best of the authors’ knowledge, the investigation of common malpractices of Zakat is still unearthed by no former rigorous studies in the context of Bangladesh. The present study bridges this gap and paves a pragmatic research dimension in the Islamic finance.

With over 3,000 academic journals in the fields of Business and Economics, most academics face a hard time selecting an adequate journal to submit their work to. In today's demanding academic environment and with the presence of different journal ranking lists (JRLs), the selection becomes more difficult when considering employment, promotion and funding. The purpose of this paper is to explore key differences among multiple JRLs pertinent to the latter common objectives. An extensive analysis is conducted to compare the content of journals in the Australian Business Deans Council (ABDC) Journal Quality list, Scopus and Web of Science (WoS) in the fields of Business and Economics. Then, a case of a university with medium research output is considered where scholarly performance evaluation is based on the ABDC Journal Quality List.

After ranking journals in the fields of Business and Economics based on SCImago Journal Rank (SJR) indicator, JCR's Journal Impact Factor (JIF) and JCR's Eigenfactor (EF), a methodology is proposed to categorize journals in the three JRLs into the same categorization adopted by ABDC. The latter establishes a way to compare the four JRLs under consideration and serves as a basis to compare and analyze the content of journals in the ABDC Journal Quality list, Scopus and WoS. As a proxy impact metric, a normalized citation count is associated with each article based on Google Scholar. The publications of the considered university are then evaluated from the perspective of the four JRLs in terms of citation-based impact and quality while considering the exposure to popular world university ranking tables.

For journals classified under fourth tier by ABDC, over 53 and 59% are not indexed by Scopus and WoS, respectively. In this case study, over 42% of the publications appear in journals that are not listed in JCR despite the fact that over 94% of them are listed by the SJR list. Generally, publications that appear in journals listed by JCR achieve, on a yearly average, significantly higher citation rates when compared to those that appear in journals listed in ABDC and SJR Lists.

A four-tier mapping is proposed for consistent comparison among JRLs. Normalized citation count associated with each article based on Google Scholar is employed for evaluation. The findings provide recommendations for scholars, administrators and global universities, including Euro-Med Universities, on which JRL can be more influential for both faculty development and positioning of the university.

Commercial banks are the catalysts for meeting the financing needs of small and medium enterprises (SMEs). However, not all commercial banks are equally attractive to SMEs because of differences in banking services’ key attributes. Moreover, customers’ preferences vary between Islamic and conventional banks. This paper aims to identify factors motivating SMEs to establish business ties with banks in Oman.

The authors collected data from 217 SMEs through a questionnaire survey. The data were analyzed using a t-test and structural equation modeling (SEM). In addition, the research applies the theory of planned behavior as a theoretical framework.

The t-test results show that SMEs place greater emphasis on electronic banking, convenient locations, religious beliefs and favorable terms and conditions. The results from the SEM analysis show that the SMEs in Oman consider attractive packages, including favorable rates, transaction processing time, fees and the availability of technology-enabled services, when choosing a bank. Moreover, customers who are aware of Islamic banking products are optimistic about the future of Shariah-based banking.

As a Muslim-majority country, Oman lags behind its Gulf Cooperative Council peers in terms of the development of the Islamic banking system. For the success of this mode of financing, it is essential to know which factors SMEs prioritize to establish ties with Islamic banks. Hence, the research is expected to provide new information for bank management to devise financial products attractive to investors.

This paper aims to investigate the causal relationships between organisational practices, employee knowledge management (KM) engagement and organisational KM performance.

Following a quantitative research approach, an online survey of 536 knowledge workers from multinational knowledge-based organisations located in Sri Lanka was carried out. The data were analysed with structural equation modelling.

Teamwork, reward structure, learning, performance management and employee empowerment are found to be motivational antecedents of KM engagement while, subsequently, organisational KM performance is affected by employee KM engagement.

The findings of this study are based on the use of five key organisational practices derived from the literature. Further research is needed to establish whether the findings extend to other organisational practices such as resourcing strategy, organisational culture and communication. Further, the sample for this research comprised knowledge workers in Sri Lankan organisations which limit the generalisability of the findings.

Teamwork, rewards structure, learning, performance management and employee empowerment are organisational practices that foster employee KM engagement. Organisational practices and employee KM engagement are imperative for the organisational success of KM initiatives.

This research introduces the term KM engagement as the indicator of individual-level KM success and integrates the sequential linkage between individual-level KM outcomes (i.e. KM engagement) and organisational KM outcomes (KM performance) which has not yet been investigated.

Expert systems are computer-based systems that mimic the logical processes of human experts or organizations to give advice in a specific domain of knowledge. Fuzzy expert systems use fuzzy logic to handle uncertainties generated by imprecise, incomplete and/or vague information. The purpose of this paper is to present a comprehensive review of the methods and applications in fuzzy expert systems.

The authors have carefully reviewed 281 journal publications and 149 conference proceedings published over the past 37 years since 1982. The authors grouped the journal publications and conference proceedings separately accordingly to the methods, application domains, tools and inference systems.

The authors have synthesized the findings and proposed useful suggestions for future research directions. The authors show that the most common use of fuzzy expert systems is in the medical field.

Fuzzy logic can be used to manage uncertainty in expert systems and solve problems that cannot be solved effectively with conventional methods. In this study, the authors present a comprehensive review of the methods and applications in fuzzy expert systems which could be useful for practicing managers developing expert systems under uncertainty.

Theory of Constraints (TOC), though a well-established process improvement methodology in manufacturing, is still a novel philosophy for healthcare and an exhaustive review of literature is needed to summarize the key findings of various researchers. Such a review can provide a direction to the researchers and academicians interested in exploring the application of TOC in the healthcare sector. This paper aims to review the existing literature of TOC tools and techniques applied to the healthcare environment, and to investigate motivating factors, benefits and key gaps for identifying directions for future research in the domain of healthcare.

In this paper, different electronic repositories were searched using multiple keywords. The current study identified 36 articles published between January 1999 to mid-2021 to conceptualize and summarize the research questions used in the study. Descriptive analysis along with pictorial representations have been used for better visualization of work.

This paper presents a thorough literature review of TOC in healthcare and identifies the evolution, current trends, tools used, nature of services chosen for application and research gaps and recommends future direction for research. A variety of motivating factors and benefits of TOC in healthcare are identified. Another key finding of this study is that almost all implementations listed in literature reported positive outcomes and substantial improvements in the performance of the healthcare unit chosen for study.

This paper provides valuable insight to researchers, practitioners and policymakers on the potential of TOC to improve quality of services, flow of patients, revenues, process efficiency and cost reduction in different health care settings. A number of findings and suggestions compiled in the paper from literature study can be used for diagnosing, learning and making substantial changes in healthcare. The methodologies used by different researchers were analysed and combined to propose a generic step by step procedure to apply TOC. This methodology will guide the practising managers about the appropriate tools of TOC for their specific need.

Good health is always the first desire of all men and women around the globe. The global aim of healthcare is to quickly cure more patients and ensure healthier population both today and in future. This article will work as a foundation for future applications of TOC in healthcare and guide upcoming applications in the booming healthcare sector. The paper will help the healthcare managers in serving a greater number of patients with limited available resources.

This paper provides original collaborative work compiled by the authors. Since no comprehensive systematic review of TOC in healthcare has been reported earlier, this study would be a valuable asset for researchers in this field. A model has been presented that links various benefits with one another and clarifies the need to focus on process improvement which naturally results in these benefits. Similarly, a model has been presented to guide the users in implementation of TOC in healthcare.