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Manufacturing industries are facing dynamic challenges in today’s highly competitive world. In the recent past, integrating Industry 4.0 with the lean six sigma improvement methodologies has emerged as a popular approach for organizational excellence. The research aims to explore and analyze critical success factors of lean six sigma integrated Industry 4.0 (LSSI).

This research study explores and analyzes the critical success factors (CSFs) of LSSI. A three-phase study framework is employed. At first, the CSFs are identified through an extensive literature review and validated through experts’ feedback. Then, in the second phase, the initial list of CSFs is finalized using the fuzzy DELPHI technique. In the third phase, the cause-effect relationship among CFSs is established using the fuzzy DEMATEL technique.

A dyadic relationship among cause-and-effect category CSFs is established. Under the cause category, top management commitment toward integrating LSSI, systematic methodology for LSSI and organizational culture for adopting changes while adopting LSSI are found to be topmost CSFs. Also, under the effect category, organizational readiness toward LSSI and adaptability and agility are found to be the uppermost CSFs.

The study offers a framework to understand the significant CSFs for LSSI implementation. Insights from the study will help industry managers and practitioners to implement LSSI and achieve organizational excellence.

To the best of the authors’ knowledge, CSFs of LSSI are not much explored in the past by researchers. Findings will be of great value for professionals in developing long-term operations strategies.

This paper aims to investigate the tacit knowledge-sharing framework among Pakistani academicians. The objective is to study trust and social networks as antecedents to foster tacit knowledge sharing with the mediating role of commitment. Furthermore, the moderating role of organizational knowledge-sharing culture is also examined.

The study applied a survey-based quantitative research design to test the proposed model. The nature of data are cross-sectional and collected with stratified random sampling among public sector higher education professionals of Pakistan. The total sample size for the present research is 247 respondents. The variance-based structural equation modeling technique by using Smart_PLS software is used for analysis.

Data analysis and results reveal that trust and social networks are significant predictors of tacit knowledge sharing among Pakistani academicians while commitment positively mediated the relationships. While the moderating role of organizational knowledge-sharing culture is also established.

The current research explains tacit knowledge sharing among academics with fewer antecedents i.e. social network and trust with limited sample size and specific population. There is still a great deal of work to be done in this area. Hence, the study provides direction for including knowledge-oriented leadership and knowledge governance in the current framework. Moreover, the framework can be tested in different work settings for better generalization.

The study gives an important lead to practitioners for enhancing tacit knowledge sharing at the workplace through a robust social network of employees, building trust and boosting employees’ commitment, as well as through supportive organizational knowledge sharing culture.

The research comprehends the tacit knowledge sharing framework with theoretical arrangements of trust, social networks, commitment and culture in higher education workplace settings under the umbrella of social capital theory.

The study examines the residential facades of the Al-Jadida neighborhood, focusing on the use of geometry and proportion in Aleppo's architectural history during the late Ottoman era. The analysis sheds light on the city's past and provides insights into the way residents utilized space and interacted with their surroundings.

The study involves collecting primary and secondary sources, including historical documents, photographs, and drawings. Visual analysis is employed to examine the facades overlooking the courtyard, with a focus on windows, doors, balconies, and other distinctive features that contribute to the overall courtyard design.

The findings reveal that traditional Aleppine architecture is centered around the courtyard and incorporates decorative openings and windows reflecting Islamic principles. Stone decorations are used with unique designs based on geometry and composition, contributing to Aleppo's cultural identity.

Including more samples for studying facades allows for the identification of changes in architectural styles and the influence of different cultural influences on the city's architecture over time. Moreover, conducting further studies is crucial for preserving this important part of Aleppo's history for future generations.

This research analyzes architectural facades in late Ottoman Aleppo, offering insights for future studies and understanding architectural design development. It also informs preservation efforts for historic buildings, enhancing understanding of architectural features and characteristics.

The main issue is whether customers prefer convenience over Shariah compliance or the opposite when they decide their Islamic banking needs. The purpose of this paper is to explore why customers adopt Islamic banking products and services: Shariah compliance or convenience?

Using convenience sampling, 310 respondents’ data were collected through online survey. For testing the fit and hypotheses of the proposed model, AMOS 25 software and Smart-PLS 4.0 software have been used.

Attitude, Islamic value and convenience have significant determinants of Islamic banking products and services. Shariah compliance has no direct or indirect influence on neither intention nor actual behaviour to adopt Islamic banking services. Furthermore, gender has no such differential effect on the adoption.

Managers and marketers of Islamic banks may benefit from the findings of this study, which demonstrate fresh insights regarding the factors which help in strategy formulations to promote Islamic banking services.

The growth of Islamic banks, branches and windows is remarkable in both Muslim-majority and Muslim-minority countries in the world. This paper postulates the behavioural finance studies in Islamic banking and finance research stream by extending the theory of planned behaviour of Ajzen (1985) as all the three new constructs (Islamic value, convenienc and Shariah compliance) are statistically fit for further studies. However, only Islamic value and convenience are the two significant factors which drive customers to take decision in the proposed model. This study gives insights to the bankers and authority about the consumer behaviour.

As a result, the current study attempted to investigate the impact of green human resource (GHR) practices on long-term performance, and the path has been explained through organizational identification, which is supported by social identity theory.

To achieve the present study's primary goal, data were obtained from manufacturing businesses and analyzed using partial least square (Smart PLS) on the data of 284 Pakistani small and medium-sized enterprises (SMEs) registered with the small and medium-sized enterprises development authority (SMEDA).

As a result, the findings show that organizational identification explains the indirect relationship between sustainable performance and green human resource management (GHRM).

To limit the limited negative effect on the environment and society, the findings provide several suggestions for the government authorities and policymakers to adopt green practices and policies.

Green practices are essential for a company to limit its negative environmental effect. Environmental critical problems among shareholders put pressure on the firm to implement GHR practices and organizational identification with long-term success.

This study aims to explore the unique and synergistic effects of green human resource management (GHRM) and corporate environmental ethics (CEE) on the environmental performance (EP) of manufacturing small and medium-sized enterprises (SMEs) in Yemen, a less developed country (LDC).

Through a cross-sectional survey design, data were collected from 262 manufacturing SMEs in Yemen and analyzed using “hierarchical regression analysis” via PROCESS Macro.

The empirical results showed that GHRM and CEE positively affect EP and, more importantly, that CEE and GHRM have a synergistic effect on EP.

This study makes a theoretical contribution by integrating GHRM, CEE and EP into a single framework, taking into account the perspectives of the resource-based view and the ethical theory of organizing. The results corroborate the unique and synergistic effects of GHRM and CEE on EP of SMEs in the manufacturing sector.

The results of this study offer valuable insights for SME managers/decision-makers, who are anticipated to become more interested in integrating environmental ethics into their companies. This has implications that with the consideration of CEE, SMEs can benefit from GHRM practices to improve their EP.

The study highlights the positive economic and social impact of SMEs adopting eco-friendly practices like GRHM. In today’s economy, it is not sufficient to simply strive for economic growth. It is possible for SMEs to achieve well-rounded performance by implementing the recommended framework that emphasizes the importance of social and environmental well-being.

This study advances the existing work on the impact of GHRM on EP by demonstrating the crucial role of CEE in predicting EP of manufacturing SMEs in LDCs like Yemen. Previous research on GHRM has mainly been conducted on SMEs in developed nations, which may not be entirely applicable to LDCs. It is crucial to understand this aspect in the context of LDCs so that SMEs can adopt environmental practices effectively in the future: how SMEs conserve the environment through their environmental practices.

The purpose of this study is to explore how big data analytics (BDA) as a potential information technology (IT) innovation can facilitate the retail logistics supply chain (SC) from the perspective of outbound logistics operations in the United Kingdom. The authors' goal was to better understand how BDA can be integrated to streamline SCs and logistical networks by using the technology, organisational and environmental model.

The authors applied existing theoretical foundations for theory building based on semi-structured interviews with 15 SC and logistics managers.

The perceived benefits of using BDA in outbound retail logistics comprised the strongest predictor amongst technological, organisational and environmental issues, followed by top management support (TMS). A framework was proposed for the adoption of BDA in retail logistics. Contextual concepts from previous literature have helped us understand how environmental changes impact BDA decision-making, as such: (i) SC maturity levels and connectivity affect BDA utilisation, (ii) connected SCs improve data accessibility and information exchange, (iii) the benefits of BDAs also affect adoption and (iv) outsourcing complex tasks to experts allows companies to focus on core businesses instead of investing in IT infrastructure.

Outside the key findings listed, this study shows that there is no one-size-fits-it-all approach for use within all organisational settings. The proposed framework reveals that the perceived benefit of BDA is non-transferrable and requires top-level management support for successful implementation.

The existing literature focusses on the approaches to applying BDA in SC and logistics but fails to present a deep dive into retail outbound logistics activity. This study addresses the “how” and proposes a social-inclusive framework for a technology-enabled topic.

Efficient delivery of integrated healthcare requires solid alliances and collaboration with stakeholders on a regular basis. Due to coronavirus disease 2019 (COVID-19), it has become necessary to explore new ways of delivering integrated healthcare, and virtual clinics have offered one solution and are likely to continue due to the uncertainty with COVID-19. This study aims to explore clinicians’ experiences of how efficient virtual elective knee clinics (VEKC) are in an orthopaedic setting in comparison to traditional face-to-face clinics.

The study utilised a mixed-methods study to obtain qualitative and quantitative data. This involved an anonymous online survey in addition to in-depth qualitative interviews conducted with a purposive sample of multidisciplinary colleagues who work with the VEKC in an acute hospital.

Three overarching themes and nine sub-themes emerged in the qualitative analysis. Overall, clinicians in both the quantitative and qualitative aspects of the study highlighted several ways that virtual clinics are efficient from both the patient and health service perspective. However, participants also highlighted barriers in relation to virtual clinics not being suitable for certain cohorts of patients and pathologies.

This is the first study in Ireland to provide valuable insights into the experiences of multidisciplinary clinicians using VEKC and their efficiency compared to traditional face-to-face clinics.

Using analytics for firms' competitiveness is a vital component of a company's strategic planning and management process. In recent years, organizations have started to capitalize on the significant use of big data for analyses to gain valuable insights to improve decision-making processes. In this regard, leveraging and unleashing the potential of big data has become a significant success factor for steering firms' competitiveness, and the related literature is increasing at a very high pace. Thus, the authors propose a bibliometric study to understand the most important insights from these studies and enrich existing conceptual models.

In this study, the authors use a bibliometric review on articles related to the use of big data for firms' competitiveness. The authors examine the contributions of research constituents (authors, institutions, countries and journals) and their structural and thematic relationships (collaborations, co-citations networks, co-word networks, thematic trends and thematic map). The most important insights are used to enrich a conceptual model.

Based on the performance analysis results, the authors found that China is by far the most productive country in this research field. However, in terms of influence (by the number of citations per article), the most influential countries are the UK, Australia and the USA, respectively. Based on the science mapping analysis results, the most important findings are projected in the common phases of competitive intelligence processes and include planning and directions concepts, data collection concepts, data analysis concepts, dissemination concepts and feedback concepts. This projection is supplemented by cross-cutting themes such as digital transformation, cloud computing, privacy, data science and competition law. Three main future research directions are identified: the broadening of the scope of application fields, the specific case of managing or anticipating the consequences of pandemics or high disruptive events such as COVID-19 and the improvement of connection between firms' competitiveness and innovation practices in a big data context.

The findings of this study show that the most important research axis in the existing literature on big data and firms' competitiveness are mostly related to common phases of competitive intelligence processes. However, concepts in these phases are strongly related to the most important dimensions intrinsic to big data. The use of a single database (Scopus) or the selected keywords can lead to bias in this study. Therefore, to address these limitations, future studies could combine different databases (i.e. Web of Science and Scopus) or different sets of keywords.

This study can provide to practitioners the most important concepts and future directions to deal with for using big data analytics to improve their competitiveness.

This study can help researchers or practitioners to identify potential research collaborators or identify suitable sources of publications in the context of big data for firms' competitiveness.

The authors propose a conceptual model related to big data and firms' competitiveness from the outputs of a bibliometric study.

The purpose of this paper is to analyse the determinants of financial inclusion among women-owned informal enterprises in India.

The study is based on a primary survey of 321 informal enterprises. The data has been collected through a structured questionnaire. A chi-square test has been used to examine the significant association between the characteristics of informal enterprises and their owners and financial inclusion. A logistic regression model has been developed to analyse the determinants of financial inclusion among women-owned informal enterprises.

A significant and negative association has been found between business duration and entrepreneurs’ experiences with financial inclusion. In addition, the chi-square test shows a significant association between resource capability, use of ICT by enterprises and financial inclusion. Further, logistics regression shows that duration of business, entrepreneurial experience, resource capability in terms of machinery and equipment use, and ICT are significant determinants of financial inclusion among women-owned informal enterprises.

There are several practical implications for national policymakers and other stakeholders, such as banks and international bodies working on financial inclusion. It is suggested that while designing the policy for financial inclusion among woman-owned informal enterprises, it should ensure that experience and older woman entrepreneurs are included in financial inclusion schemes.

There has been very few research on financial inclusion in woman-owned businesses. However, no research has been conducted on the financial inclusion of women-owned informal businesses. This study fills a gap by investigating the factors that influence financial inclusion in women-owned informal businesses.