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Bibliometrics is one of the research fields in library and information science that deals with the analysis of academic entities. In this regard, to gauge the productivity and popularity of authors, publication counts and citation counts are common bibliometric measures. Similarly, the significance of a journal is measured using another bibliometric measure, impact factor. However, scarce attention has been paid to find the impact and productivity of conferences using these bibliometric measures. Moreover, the application of the existing techniques rarely finds the impact of conferences in a distinctive manner. The purpose of this paper is to propose and compare the DS-index with existing bibliometric indices, such as h-index, g-index and R-index, to study and rank conferences distinctively based on their significance.

The DS-index is applied to the self-developed large DBLP data set having publication data over 50 years covering more than 10,000 conferences.

The empirical results of the proposed index are compared with the existing indices using the standard performance evaluation measures. The results confirm that the DS-index performs better than other indices in ranking the conferences in a distinctive manner.

Scarce attention is paid to rank conferences in distinctive manner using bibliometric measures. In addition, exploiting the DS-index to assign unique ranks to the different conferences makes this research work novel.

Image Processing is an emerging field that is used to extract information from images. In recent years, this field has received immense attention from researchers, especially in the research domains of object detection, Biomedical Imaging and Semantic segmentation. In this study, a bibliometric analysis of publications related to image processing in the Science Expanded Index Extended (SCI-Expanded) has been performed. Several parameters have been analyzed such as annual scientific production, citations per article, most cited documents, top 20 articles, most relevant authors, authors evaluation using y-index, top and most relevant sources (journals) and hot topics.

The Bibliographic data has been extracted from the Web of Science which is well known and the world's top database of bibliographic citations of multidisciplinary areas that covers the various journals of computer science, engineering, medical and social sciences.

The research work in image processing is meager in the past decade, however, from 2014 to 2019, it increases dramatically. Recently, the IEEE Access journal is the most relevant source with an average of 115 publications per year. The USA is most productive and its publications are highly cited while China comes in second place. Image Segmentation, Feature Extraction and Medical Image Processing are hot topics in recent years. The National Natural Science Foundation of China provides 8% of all funds for Image Processing. As Image Processing is now becoming one of the most critical fields, the research productivity has enhanced during the past five years and more work is done while the era of 2005–2013 was the area with the least amount of work in this area.

This research is novel in this regard that no previous research focuses on Bibliometric Analysis in the Image Processing domain, which is one of the hot research areas in computer science and engineering.

Software defect prediction (SDP) is a critical aspect of software quality assurance, aiming to identify and manage potential defects in software systems. In this paper, we have proposed a novel hybrid approach that combines Grey Wolf Optimization with Feature Selection (GWOFS) and multilayer perceptron (MLP) for SDP. The GWOFS-MLP hybrid model is designed to optimize feature selection, ultimately enhancing the accuracy and efficiency of SDP. Grey Wolf Optimization, inspired by the social hierarchy and hunting behavior of grey wolves, is employed to select a subset of relevant features from an extensive pool of potential predictors. This study investigates the key challenges that traditional SDP approaches encounter and proposes promising solutions to overcome time complexity and the curse of the dimensionality reduction problem.

The integration of GWOFS and MLP results in a robust hybrid model that can adapt to diverse software datasets. This feature selection process harnesses the cooperative hunting behavior of wolves, allowing for the exploration of critical feature combinations. The selected features are then fed into an MLP, a powerful artificial neural network (ANN) known for its capability to learn intricate patterns within software metrics. MLP serves as the predictive engine, utilizing the curated feature set to model and classify software defects accurately.

The performance evaluation of the GWOFS-MLP hybrid model on a real-world software defect dataset demonstrates its effectiveness. The model achieves a remarkable training accuracy of 97.69% and a testing accuracy of 97.99%. Additionally, the receiver operating characteristic area under the curve (ROC-AUC) score of 0.89 highlights the model’s ability to discriminate between defective and defect-free software components.

Experimental implementations using machine learning-based techniques with feature reduction are conducted to validate the proposed solutions. The goal is to enhance SDP’s accuracy, relevance and efficiency, ultimately improving software quality assurance processes. The confusion matrix further illustrates the model’s performance, with only a small number of false positives and false negatives.

The purpose of this study endeavour is to delve into the perceptions and sense-making of both spiritually empowered leadership and workplace spirituality at the Akhuwat Foundation, a prominent social sector microfinance organization in the Muslim majority economy of Pakistan.

Using a qualitative research approach and an intrinsic instrumental case study research methodology, a series of 16 in-depth semi-structured interviews and three focus group discussions (each focus group contained five members) were conducted with employees and leaders at the Akhuwat Foundation of Pakistan from June 2020 to June 2021.

The findings from thematic data analysis show that the spiritual leadership at Akhuwat Foundation implemented workplace spirituality by creating a spiritual environment, such as brotherhood, at the workplace. Moreover, the employees exercise workplace spirituality by voluntarily performing their duties at lesser salaries. Alternatively, spiritual leaders care for employees by reducing organizational problems and improving their employees’ well-being.

Although this research explores spiritual leadership and workplace spirituality in the national context of Pakistan, further investigation in other contexts is required to cross-check and validate the research findings.

Regulators and policymakers of organizations operating in Muslim-majority countries should focus on brotherhood, inspire employees through vision, resolve organizational challenges and create a spiritual environment for spiritual leadership and workplace spirituality to improve employee well-being, broader societal welfare and organization’s overall performance.

This study revealed new themes of workplace spirituality and spiritual leadership in the organizational context of a Muslim-majority country, Pakistan, identified context-specific themes and enhanced the theory of spiritual leadership and workplace spirituality.

This study aims to conduct a systematic literature review on consumer behavior (CB) in Islamic banking (IB), encompassing an overview of researched contexts and topics, identifying literature gaps and proposing a comprehensive future research agenda.

By using bibliometric citation and content analysis, this study investigates 135 documents sourced from Scopus indexed publications.

This study delves into the growing field of CB in IB, offering a comprehensive understanding that encompasses influential journals, theories, research context, characteristics and methods used in IB research.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive review of CB studies in the IB domain detailing research topics, prevailing theories, research settings, important variables and research methods.

This paper aims to study Qard-al-Hasan (QH) (good loan) from the stand point of its possible application to agricultural farming with a view to augmenting the sources of Riba (interest)-free agricultural financing for Muslim farmers of Islamic countries like Pakistan.

This paper is a study of QH (good loan) from the stand point of its possible application to agricultural farming with a view to augmenting the sources of Riba (interest)-free agricultural financing for Muslim farmers of Islamic countries like Pakistan.

The study reports that Riba-free financing is essentially needed by poor Muslim farmers who, owing to prohibition of Riba, do not rely on interest (Riba)-based financing. The study also shows that QH is a viable option for fulfilling this need and is beneficial for the farmers as well as for the Islamic banks or financial institutions.

The case of QH as a potential mode of agricultural financing, as presented in this paper, is based on a theoretical or conceptual framework. The findings need to be further substantiated with empirical evidence. A future study, based on reliable empirical data would certainly add value to the subject.

Islamic banks and financial institutions typically rely on Musharakah (partnership), Murabaha (sale with profit), Ijarah (leasing), Salam (advance payment sale), Istisna’ (manufacturing contract), etc., and they rarely use QH as a mode of financing. Despite its huge utility, QH is practically non-existent in its application as an agricultural financing instrument. This paper presents a case for QH that can be adopted by Islamic banks or financial institutions for provision of the much needed financing for the small farmers of Islamic countries, as well as those living in non-Islamic countries.

Drawing on the knowledge-based view, the study aims to investigate the impact of knowledge management enablers (entrepreneurial orientation and knowledge-oriented leadership) on knowledge management processes and project success. The study further ascertains the specific combinations of knowledge management enablers and knowledge management processes that can lead to project success.

Survey data were collected from 222 project workers in information technology projects, and the proposed relationships were assessed through partial least squares structural equation modeling while configuration paths were assessed using fuzzy-set qualitative comparative analysis.

The study found a significant impact of entrepreneurial orientation and knowledge-oriented leadership on knowledge management processes and project success. The analysis also revealed that knowledge management processes did not significantly impact project success. Moreover, the insights from fuzzy-set qualitative comparative analysis show a clear pattern of equifinality, in that there are multiple combinations of knowledge management enablers and knowledge management processes that can lead to a successful project.

The current study is one of the earlier studies to provide insights to knowledge-based view by demonstrating the inter-relationship of entrepreneurial orientation and knowledge-oriented leadership with knowledge management processes and project success. To the best of authors' knowledge, this is the first study to assess the impact of knowledge-oriented leadership on project success. With limited studies on impact of entrepreneurial orientation and knowledge-oriented leadership on knowledge management processes, the study enriches the literature on linkage of entrepreneurial orientation and knowledge-oriented leadership with knowledge management processes. Methodological contributions include use of fuzzy-set qualitative comparative analysis to reveal multiple pathways to project success.

Innovation has become a necessity for the information technology (IT) sector, especially during COVID-19 pandemic. Therefore, this study aims to investigate how knowledge sharing affects employees’ innovative work behavior (IWB). Specifically, the study examined occupational self-efficacy (as mediating mechanism) and entrepreneurial leadership (as boundary condition) to encourage IWB.

The study used social media platforms to collect data from 270 employees working in the IT sector through “google forms” on convenience basis between March and August, 2021. The study applied structural equation modeling in two stages to examine the measurement model (for uni-dimensionality) and the structural model (for hypotheses testing).

The study noted that knowledge sharing positively affects employees’ IWB and occupational self-efficacy positively explains this association. In addition, employees’ perception of entrepreneurial leadership strengthens the association between knowledge sharing and IWB.

The study collected data from a developing country during COVID-19 by using a cross-sectional design that may restrict causality. However, the findings suggest the management not only encourages knowledge sharing environment but also engages employees in various training that motivate them to experiment with new ideas and techniques.

This study extends the existing literature on knowledge sharing and IWB by exploring occupational self-efficacy as mediating mechanism and entrepreneurial leadership as a boundary condition.

Islamic banks provide an alternative financial system based on Sharia’h (Islamic law). However, critics argue that operation at Islamic banks is violating Sharia’h particularly in terms of provision of interest free services, risk sharing and legal contract. The purpose of this paper is to empirically evaluate the Sharia’h practice at Islamic banks in Pakistan by considering some basic principles of Sharia’h.

Primary data are collected from 63 branches of Islamic banks in Pakistan. Questionnaire is used as an instrument. The study uses structural equation modeling that includes confirmatory factor analysis and regression analysis. Data are codified and analyzed using SPSS and Amos.

This study finds that Islamic banks are providing interest free services, ensuring that transactions and contracts offered by Islamic banks are legal and offering conflict-free environment to customers. In contrast, estimated results expose that Islamic banks are not sharing risk and Sharia’h supervisory board is not performing its role perfectly. Similarly, it is found that organization and distribution of zakat and qard-ul-hassan are weak at Islamic banks.

Data are collected from Islamabad federal capital of Pakistan that hold just 5 per cent share of Islamic banking industry. This small share may not provide true picture of Islamic banking sector.

To ensure risk sharing, Islamic banking industry must consider the development of new modes of financing and innovation of more products based on Sharia’h. State Bank of Pakistan should ensure separate regulatory framework that enable Islamic banks to provide qard-ul-hassan, organize and allocate zakat.

This paper discusses the perception of bankers, who are actually the executors, about Shariah’s practices at Islamic banks in Pakistan. There are not many discussions on this topic that could be found, and hence this could be considered as a significant contribution by this paper to the existing literature of Islamic finance.

The purpose of this paper is to evaluate the impact of short-term loan (STL) vs long-term loan (LTL) on wheat productivity of small farms in Sindh, Pakistan.

The econometric estimation is based on cross-sectional data collected in 2016 from 18 villages in three districts, i.e. Shikarpur, Sukkur and Shaheed Benazirabad, Sindh, Pakistan. The sample data set consist of 180 wheat farmers. The collected data were analyzed through different econometric techniques like Cobb–Douglas production function and Instrumental variables (two-stage least squares) approach.

This study reconfirmed that agricultural credit has a positive and highly significant effect on wheat productivity, while the short-term loan has a stronger effect on wheat productivity than the long-term loan. The reasons behind the phenomenon may be the significantly higher usage of agricultural inputs like seeds of improved variety and fertilizers which can be transformed into the wheat yield in the same year. However, the LTL users have significantly higher investments in land preparation, irrigation and plant protection, which may lead to higher wheat production in the coming years.

In the present study, only those wheat farmers were considered who obtained agricultural loans from formal financial institutions like Zarai Taraqiati Bank Limited and Khushhali Bank. However, in the rural areas of Sindh, Pakistan, a considerable proportion of small-scale farmers take credit from informal financial channels. Therefore future researchers should consider the informal credits as well.

This is the first paper to examine the effects of agricultural credit on wheat productivity of small farms in Sindh, Pakistan. This paper will be an important addition to the emerging literature regarding effects of credit studies.