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This paper presents an integrated framework for the selection of attributes used in the evaluation of advanced manufacturing systems. The primary focus in the development of this framework is the modularity of the framework so that it is applicable to a wide range of advanced manufacturing systems with differing process configurations and technologies. Based on data collected from industry and the current body of knowledge, decision attributes were identified and ranked relatively against each other, forming a hierarchy of decision attributes. To simplify the hierarchy, making it more user‐friendly in real‐world applications, each decision attribute was also evaluated relative to the strength of its relationships to other decision attributes. Several decision attributes were found to be highly correlated with others, resulting in a new, single decision attribute. The final decision attribute hierarchy provides managers responsible for making capital decisions involving advanced manufacturing technologies with a framework for their decision making.

The outbreak of COVID-19 is one of the most serious health events in recent times. In the business landscape, its effects may be more detrimental to micro-, small- and medium-sized enterprises (MSMEs) because they tend to have limited financial and human resources to manage the challenges caused by COVID-19. To help MSMEs enhance their resilience, this paper aims to discuss how they can leverage mass collaboration to build social media-based knowledge ecosystems to manage interactions among internal and external stakeholders for knowledge creation and innovation.

The paper proposes a model for MSMEs to build an online knowledge ecosystem and a standalone text analytics tool to use the advanced data analytics, e.g. topic modeling, to analyze and aggregate collective insights. Design science research methodology is used to develop the model and the tool.

Through mass collaboration using social media and advanced data analytics technology, MSMEs can generate new business ideas, leading to enhanced resilience to meet the challenges caused by COVID-19 or other unexpected or extraordinary circumstances, such as natural disasters and financial crises.

To the best of authors’ knowledge, this paper is one of the first papers in social media adoption for knowledge creation and innovation research, providing detailed approaches for MSMEs to build a knowledge ecosystem on social media and to use advanced data analytics to mine the meaning of the generated data.

This study aims to focus on the direct, mediating and moderating effects of corporate governance (CG) and capital structure (CS) in their relationships with firm performance (FP).

Multivariate panel data regression techniques are employed to analyse the direct, mediating and moderating impacts of the CG and CS on FP of 38 listed Mauritian non-financial companies from 2009 to 2019.

This study shows that CG has a positive but insignificant influence on return on equity (ROE) and Tobin's Q. CS has a significant negative impact on both ROE and Tobin's Q and supports the pecking order theory (POT). The interaction of CG and CS influences FP, but the strength of the moderating effects depends on the performance measure being used. Both CS and CG have no mediation effects in their relationship with FP measured by ROE and Tobin's Q.

The results indicate that the combination of the high leverage ratio and good governance practices of companies can improve FP and increases investor confidence resulting in a positive reaction on their market share prices.

This paper contributes to the CG and CS literature by introducing a more precise and comprehensive research approach and is the first to attempt to extend CG and CS in their associations with FP by incorporating both CG and CS as profound moderator and mediator variables simultaneously in the same study.

This study aims to formulate an index formula for mosque empowerment based on Maqashid Syariah as a measuring tool for the level of mosque empowerment.

This study uses a qualitative and quantitative approach (mixed method). Data collection techniques are carried out by in-depth interviews with experts consisting of academics, practitioners, scholars and regulators. The data analysis technique uses the Analytical Network Process (ANP) with Super Decision 2.10 software to construct the index model structure.

The results indicate that the mosque has a multi-field role, including in the fields of worship, social, education, politics, economy and culture. This study produces an index of mosque empowerment based on Maqashid Syariah, composed of sic criteria, namely, elements of Maqashid Syariah; protect religion, soul, mind, lineage, property and environment. The weighting results of the criteria indicate that maintaining religion is the main criterion with a weighted value of 0.209. Each of these criteria consists of five indicators. Of all indicators, environmental safety is the top priority, with a weighted value of 0.056.

This study is the first comprehensive study that discusses the mosque empowerment index by weighting the ANP method to produce an index of mosque empowerment based on Maqashid Syariah.

This study aims to set out to identify and evaluate potential obstacles to successfully implementing lean construction (LC) as a result.

Several indicators were recognized as major obstacles following an exhaustive assessment of the literature and a multicriteria decision analysis based on the analytic hierarchy process (AHP) of information obtained from a questionnaire survey that was directed to practitioners in the Indian construction industry.

The results of this AHP model suggest that “Managerial” and “Inadequate resources” categories with a priority weight of “0.361” and “0.309” have the highest levels of influence, respectively, while “Inadequate knowledge” and “just in time (JIT)” categories with a priority weight of “0.053” and “0.034” have the lowest levels of influence, respectively.

Construction companies can use the study’s findings as a guide to determine whether they are ready to embrace LC, learn more about the components needed for implementation or investigate any challenges that may arise. These businesses can then create plans to promote the adoption and application of the lean philosophy.

The Indian construction industry may see great success with LC management initiatives. LC concepts have been adopted by many nations, but during the past 20 years, there has only appeared to be a limited amount of lean implementation in the Indian construction industry. It seems that several structural and cultural barriers are preventing its effective implementation. Organizations will not be able to determine what improvement efforts are required, where these efforts should be directed or which initiatives could provide the best outcomes if they are unaware of the elements that influence the effective implementation of LC.