Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions

The Covid-19 pandemic outbreak across the globe has disrupted human life and industry. The pandemic has affected every sector, with the real estate sector facing particular challenges. During the pandemic, property management became a crucial task and property managers were challenged to control risks and disruptions faced by their organizations. Recent innovative technologies, including artificial intelligence (AI), have supported many sectors through sudden disruptions; this study was performed to examine the role of AI in the real estate and property management (PM) sectors. For this purpose, a systematic literature review was conducted using structural topic modeling and bibliometric analysis. Using appropriate keywords, the researchers found 175 articles on AI and PM research from 1980 to 2021 in the SCOPUS database. A bibliometric analysis was performed to identify research trends. Structural topic modelling (STM) identified ten emerging thematic topics in AI and PM. A comprehensive framework is proposed, and future research directions discussed.publishedVersio

Circular economy initiatives in supply chain: a systematic literature review and future research directions

The concept of a circular economy (CE) entails developing a closed-loop system that strives to reduce waste that adversely impacts the environment while also minimising the use of resources (both natural and technical). The authors perform a thorough literature assessment of relevant papers using bibliometric and network analysis methodologies to identify the major components involved in a CE to solve the issues associated with implementing CE practices in supply chain (SC). One of the objectives of this study is to determine current trends in SC based on the CE from 2013 to 2022. 101 articles are selected for in-depth analysis based on a bibliometric and network analysis approach. The review sheds light on the most important success factors of CE practices in SC across a variety of industries, as well as current and upcoming research trends. This review identifies research gaps and highlights additional theoretical approaches to the critical success factors of CE practices in the SC. The findings of this research will enable organisations to better understand the challenges and opportunities associated with CE practices and develop more efficient and sustainable SC strategies

‘Recover together, recover stronger’: an exploratory literature review on the recovery challenges of creative SMEs following the COVID-19 pandemic and proposed future recommendations

Purpose- The rise of the COVID-19 pandemic has enabled researchers and industry professionals to reinvent their strategies for basic economic understanding. Two years after the outbreak of the pandemic, businesses are now trying to adapt to the impact it has brought, hoping to receive support as it was in the past. However, before this feat can be accomplished, it is imperative to understand the recovery hurdles created by the pandemic. This research aims to fill the literature gaps by examining the challenges during recovery within the creative small and medium-sized enterprise (SME) industry, as there are few relevant studies that focus on this field. Design/Methodology/Approach- Through a methodical bibliometric literature review and network analysis, the paper intends to critically explore relevant recovery challenges within the field while providing answers to the appropriate research questions. A total of 43 articles were selected for an in-depth review. Using the analysis from the selected articles as a guide, a framework was developed to address the recovery challenges alongside the recommended propositions. Findings- The findings from this paper suggest that a lack of synergy among four major categories (governmental, supply chain, organizational and stakeholders) contributes to recovery challenges within the field of research. Originality/Value- The review also offers clarification in understanding the current and upcoming trends within the creative industry, SMEs, and COVID-19. This paper can thus help researchers, industry practitioners and managers discover and analyse the recovery challenges brought about by the COVID-19 pandemic

Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions

The Covid-19 pandemic outbreak across the globe has disrupted human life and industry. The pandemic has affected every sector, with the real estate sector facing particular challenges. During the pandemic, property management became a crucial task and property managers were challenged to control risks and disruptions faced by their organizations. Recent innovative technologies, including artificial intelligence (AI), have supported many sectors through sudden disruptions; this study was performed to examine the role of AI in the real estate and property management (PM) sectors. For this purpose, a systematic literature review was conducted using structural topic modeling and bibliometric analysis. Using appropriate keywords, the researchers found 175 articles on AI and PM research from 1980 to 2021 in the SCOPUS database. A bibliometric analysis was performed to identify research trends. Structural topic modelling (STM) identified ten emerging thematic topics in AI and PM. A comprehensive framework is proposed, and future research directions discussed

Property management enabled by artificial intelligence post Covid-19: an exploratory review and future propositions

The Covid-19 pandemic outbreak across the globe has disrupted human life and industry. The pandemic has affected every sector, with the real estate sector facing particular challenges. During the pandemic, property management became a crucial task and property managers were challenged to control risks and disruptions faced by their organizations. Recent innovative technologies, including artificial intelligence (AI), have supported many sectors through sudden disruptions; this study was performed to examine the role of AI in the real estate and property management (PM) sectors. For this purpose, a systematic literature review was conducted using structural topic modeling and bibliometric analysis. Using appropriate keywords, the researchers found 175 articles on AI and PM research from 1980 to 2021 in the SCOPUS database. A bibliometric analysis was performed to identify research trends. Structural topic modeling identified ten emerging thematic topics in AI and PM. A comprehensive framework is proposed, and future research directions discussed

Artificial Intelligence as an enabler of quick and effective production repurposing manufacturing: an exploratory review and future research propositions

The outbreak of Covid-19 created disruptions in manufacturing operations. One of the most serious negative impacts is the shortage of critical medical supplies. Manufacturing firms faced pressure from governments to use their manufacturing capacity to repurpose their production for meeting the critical demand for necessary products. For this purpose, recent advancements in technology and artificial intelligence (AI) could act as response solutions to conquer the threats linked with repurposing manufacturing (RM). The study’s purpose is to investigate the significance of AI in RM through a systematic literature review (SLR). This study gathered around 453 articles from the SCOPUS database in the selected research field. Structural Topic Modeling (STM) was utilized to generate emerging research themes from the selected documents on AI in RM. In addition, to study the research trends in the field of AI in RM, a bibliometric analysis was undertaken using the R-package. The findings of the study showed that there is a vast scope for research in this area as the yearly global production of articles in this field is limited. However, it is an evolving field and many research collaborations were identified. The study proposes a comprehensive research framework and propositions for future research development